CN113197116A - Live pig health monitoring and slaughter time evaluation method, terminal device and storage medium - Google Patents
Live pig health monitoring and slaughter time evaluation method, terminal device and storage medium Download PDFInfo
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- 230000036541 health Effects 0.000 title claims abstract description 25
- 238000003307 slaughter Methods 0.000 title claims abstract description 23
- 238000003860 storage Methods 0.000 title claims abstract description 16
- 238000011156 evaluation Methods 0.000 title claims abstract description 15
- 238000009395 breeding Methods 0.000 claims abstract description 93
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K67/00—Rearing or breeding animals, not otherwise provided for; New breeds of animals
- A01K67/02—Breeding vertebrates
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/40—Animals
Abstract
The application is suitable for the technical field of live pig breeding, and provides a live pig health monitoring and marketing time evaluation method, terminal equipment and a storage medium, wherein the method comprises the following steps: when the health of the live pig is determined according to the millimeter wave radar monitoring information, calculating the current unit weight breeding income corresponding to the live pig; drawing a change curve of the breeding yield per unit weight corresponding to the live pigs; estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig; and determining the first peak time as the optimal slaughter time of the live pigs. According to the live pig health monitoring and marketing time evaluation method, the terminal device and the readable storage medium, the peak value and the peak time of the unit weight breeding income of the live pigs are estimated in advance by observing the income change curve of the unit weight of the live pigs in a farm and utilizing data and a mathematical model, so that the problem that data support is lacked when marketing time is determined in the existing live pig breeding field is solved, and breeding risks are reduced.
Description
Technical Field
The application belongs to the technical field of live pig breeding, and particularly relates to a live pig health monitoring and slaughter time evaluation method, terminal equipment and storage media.
Background
In the live pig breeding process, the breeding income of live pigs in a farm can not be generally evaluated before marketing, marketing time is freely determined according to breeding experience, and economic data such as breeding cost and income are checked and calculated after marketing. The wild breeding mode completely depends on the individual breeding experience of farmers, lacks data support, is difficult to master the income condition of live pig breeding in time in the breeding process, and increases the breeding risk.
Disclosure of Invention
In view of this, the embodiment of the present application provides a live pig health monitoring and slaughter time evaluation method, a terminal device, and a storage medium, so as to solve the problem that data support is lacking in determining slaughter time in the field of live pig breeding at present.
According to a first aspect, an embodiment of the present application provides a live pig health monitoring and slaughter time assessment method, including: acquiring millimeter wave radar monitoring information of a live pig; when the health of the live pig is determined according to the millimeter wave radar monitoring information, calculating the current unit weight breeding income corresponding to the live pig; drawing a unit weight breeding yield change curve corresponding to the live pigs according to the current unit weight breeding yield and the previous unit weight breeding yield; estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve; and determining the first peak time as the optimal slaughter time of the live pigs.
According to the first aspect, in some embodiments of the present application, the step of calculating the current breeding yield per weight of the live pig comprises: calculating the current weight of the live pig according to the millimeter wave radar monitoring information; calculating the current expected income of the live pigs according to the accumulated breeding cost of the live pigs and the current weight of the live pigs; and calculating the current unit weight breeding income corresponding to the live pigs according to the current expected income and the current weight of the live pigs.
According to the first aspect, in some embodiments of the present application, a unit weight cultivation income change curve corresponding to the live pig is drawn according to the current unit weight cultivation income and the previous unit weight cultivation income; estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve; the step of determining the first peak time as the optimal slaughter time of the live pigs is replaced by the following steps: drawing an expected income change curve corresponding to the live pig according to the current expected income and the prior expected income; estimating an expected income peak value and corresponding second peak time corresponding to the live pig according to the expected income change curve; and determining the second peak time as the optimal slaughter time of the live pigs.
According to the first aspect, in some embodiments of the present application, after the step of obtaining millimeter wave radar monitoring information of a live pig, the live pig health monitoring and slaughter time evaluation method further includes: and judging whether the live pig is healthy or not according to the millimeter wave radar monitoring information.
According to the first aspect, in some embodiments of the present application, the step of determining whether the live pig is healthy according to the millimeter wave radar monitoring information includes: extracting the current heart rate and the current respiratory rate of the live pig according to the millimeter wave radar monitoring information; and when the current heart rate of the live pig is within a preset heart rate range and the current respiratory frequency of the live pig is within a preset respiratory frequency range, determining that the live pig is healthy.
According to the first aspect, in some embodiments of the present application, the step of determining whether the live pig is healthy according to the millimeter wave radar monitoring information further includes: and when the current heart rate of the live pig exceeds a preset heart rate range or the current respiratory frequency of the live pig exceeds a preset respiratory frequency range, determining that the live pig is unhealthy.
According to the first aspect, in some embodiments of the present application, the step of determining whether the live pig is healthy according to the millimeter wave radar monitoring information further includes: respectively adjusting the heart rate range and the respiratory frequency range according to the historical heart rate information and the respiratory frequency information of the healthy live pigs under the same breeding conditions; and respectively determining the adjusted heart rate range and the adjusted respiratory frequency range as the preset heart rate range and the preset respiratory frequency range.
According to a second aspect, an embodiment of the present application provides a terminal device, including an input unit, configured to obtain millimeter wave radar monitoring information of a live pig; the calculation unit is used for calculating the current unit weight cultivation income corresponding to the live pig when the health of the live pig is determined according to the millimeter wave radar monitoring information, and drawing a unit weight cultivation income change curve corresponding to the live pig according to the current unit weight cultivation income and the previous unit weight cultivation income; and the evaluation unit is used for estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve, and determining the first peak time as the optimal marketing time of the live pig.
According to a third aspect, an embodiment of the present application provides another terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect or any embodiment of the first aspect when executing the computer program.
According to a fourth aspect, embodiments of the present application provide a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the method according to the first aspect or any embodiment of the first aspect.
According to the live pig health monitoring and marketing time evaluation method, the terminal device and the readable storage medium, the peak value and the peak value time of the unit weight breeding income of the live pigs are estimated in advance by observing the income change curve of the unit weight of the live pigs in a farm and utilizing data and a mathematical model, the current situation that the traditional live pig breeding is too dependent on artificial experience is changed, the problem that the existing live pig breeding field is lack of data support when marketing time is determined is solved, and breeding risk is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of a specific example of a live pig health monitoring and slaughter time evaluation method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a terminal device provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of another terminal device provided in the embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
The embodiment of the application provides a live pig health monitoring and slaughter time evaluation method, as shown in fig. 1, the method can comprise the following steps:
step S101: and acquiring the millimeter wave radar monitoring information of the live pig.
At present, the contact type measuring mode is adopted for monitoring the vital signs of the pigs, even the heart rate is monitored by adopting the original manual monitoring mode, the operation is complex, the stress reaction of the pigs can be caused, and the accuracy is influenced. The millimeter wave radar-based live pig health monitoring belongs to non-contact monitoring, and can effectively inhibit the influence on measurement data caused by the stress response of pigs during contact measurement. Meanwhile, the non-contact monitoring can also effectively ensure the sanitary and safe cultivation, and can reduce the spread of viruses to the maximum extent.
Compared with the common centimeter wave radar, the millimeter wave radar detection technology has the advantages of strong penetration capability, high resolution, strong anti-interference capability, high detection precision and the like, can keep high-precision monitoring all day long, and can normally work under the environment of-40 ℃ to +85 ℃ after being verified by an environment durability test. Non-contact measurement also helps to remove other disturbing accuracy factors. Therefore, the heart rate and the respiratory state of the pig are monitored by combining the millimeter wave radar technology, and the state data of the pig can be better monitored.
Step S102: and judging whether the live pigs are healthy or not according to the millimeter wave radar monitoring information. When the health of the live pig is determined according to the millimeter wave radar monitoring information, executing the step S103; and when the unhealthy live pig is determined according to the millimeter wave radar monitoring information, generating and outputting alarm information.
Specifically, when carrying out the healthy monitoring of millimeter wave radar to the live pig, can be according to millimeter wave radar monitoring information, extract the current rhythm of the heart and the current respiratory frequency of live pig, when the current rhythm of the heart of pig at predetermined rhythm of the heart scope, and the current respiratory frequency of live pig also when predetermined respiratory frequency scope, can confirm that the live pig is healthy. When any vital sign monitoring signal of the live pig is abnormal, namely when the current heart rate of the live pig exceeds a preset heart rate range or the current respiratory frequency of the live pig exceeds a preset respiratory frequency range, the unhealthy live pig can be determined.
The preset heart rate range and the preset respiratory frequency range are important index data for scientifically judging the health of the live pigs, and the two indexes are dynamically adjusted according to the actual breeding condition, so that the accuracy of the health monitoring of the live pigs is improved. Specifically, the heart rate range and the respiratory frequency range can be adjusted according to historical heart rate information and respiratory frequency information of healthy live pigs under the same breeding condition, and the adjusted heart rate range and respiratory frequency range are determined as a preset heart rate range and a preset respiratory frequency range respectively.
Step S103: and calculating the current unit weight breeding income corresponding to the live pigs.
In one embodiment, the income per unit weight of live pigs in the farm can be continuously collected and calculated according to a preset time interval or a preset time point in a time sequence to form an income sequence. The profit sequence is dynamically changed, and when the time reaches a profit calculation time, the current unit weight cultivation profit in the cultivation field is calculated to form a profit sequence containing the current unit weight cultivation profit. Specifically, the unit weight cultivation income in the income sequence can be arranged in time sequence, and the current unit weight cultivation income is arranged at the end.
When the unit weight breeding income is calculated, the current weight of the live pig can be calculated according to the millimeter wave radar monitoring information; secondly, calculating the current expected income of the live pigs according to the accumulated breeding cost of the live pigs and the current weight of the live pigs; and finally, calculating the current unit weight breeding income corresponding to the live pigs according to the current expected income and the current weight of the live pigs.
Step S104: and drawing a unit weight breeding yield change curve corresponding to the live pigs according to the current unit weight breeding yield and the previous unit weight breeding yield.
For example, a change curve of the profit series, that is, a change curve of the yield of the weight-based cultivation corresponding to the farm may be plotted on the horizontal axis of time and the vertical axis of weight. The change curve of the breeding income per unit weight can reflect the change trend of the breeding income. Generally, it is not necessary to list all values of the return for weight-per-breed in the return sequence. The unit weight breeding income of pigs in the farm can be reflected by the change trend of the unit weight breeding income of the pigs in the farm in a relatively recent period. The premature return data is not of great reference to the evaluation of the time to make a listing. To avoid excessive data volume and increase computational efficiency, early-in-time revenue values should be discarded in the revenue sequence.
Step S105: and estimating the unit weight breeding income peak value and the corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve.
The change curve of the breeding income per unit weight can reflect the change trend of the breeding income in a farm. The income situation of the live pig breeding in the farm in a future period can be predicted by utilizing the change trend. The unit weight cultivation income change curve can be used for predicting the cultivation income particles, and the unit weight cultivation income peak value and the corresponding first peak time corresponding to the cultivation farm can be estimated.
The time variation curve of the unit weight breeding yield generally presents a normal distribution, and the curve has a peak value and a peak time. The first peak time of the unit weight breeding income change curve is unique, and in order to avoid the peak value confusion of different breeding income change curves, the peak time of the unit weight breeding income change curve is named as the first peak time.
Step S106: and determining the first peak time as the optimal slaughter time of the live pigs.
Since the maximum or large breeding yield of the live pigs can be obtained by harvesting at the peak time estimated from the breeding yield variation curve per unit weight, the peak time can be set to the optimum slaughter time of the live pigs.
The method for evaluating the marketing time by using the change curve of the breeding yield of the unit weight is more suitable for large-scale breeding. For the scattered breeding with smaller breeding scale, the unit re-breeding yield variation curve can be replaced by the expected yield variation curve, a similar method is applied to estimate a corresponding expected yield peak value and a corresponding second peak time through the expected yield variation curve, and the second peak time is determined as the optimal slaughter time of the live pigs. Specifically, a corresponding expected benefit variation curve may be drawn according to the current expected benefit and the previous expected benefit calculated in step S103. The expected income change curve is also a curve which changes along with time and is in a normal distribution, the second peak time of the expected income change curve is unique, and in order to avoid the confusion of the peaks of different breeding income change curves, the peak time of the expected income change curve is named as the second peak time.
According to the live pig health monitoring and marketing time assessment method provided by the embodiment of the application, the peak value and the peak value time of the unit weight breeding income of the live pigs are estimated in advance by observing the income change curve of the unit weight of the live pigs in a farm by using data and a mathematical model, the current situation that the traditional live pig breeding is too dependent on artificial experience is changed, the problem that the existing live pig breeding field is lack of data support when marketing time is determined is solved, and breeding risk is reduced.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
The embodiment of the present application further provides a terminal device, as shown in fig. 2, the terminal device may include an input unit 201, a calculating unit 202, and an evaluating unit 203.
Specifically, the input unit 201 is configured to obtain millimeter wave radar monitoring information of a live pig; the corresponding working process can be referred to the description of step S101 in the above method embodiment.
When the health of the live pig is determined according to the millimeter wave radar monitoring information, the calculating unit 202 is used for calculating the current unit weight breeding yield corresponding to the live pig, and drawing a unit weight breeding yield change curve corresponding to the live pig according to the current unit weight breeding yield and the previous unit weight breeding yield; the corresponding working process can be referred to the description of step S102 to step S104 in the above method embodiment.
The evaluation unit 203 is used for estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve, and determining the first peak time as the optimal slaughtering time of the live pig; the corresponding working process can be referred to the description of step S105 to step S106 in the above method embodiment.
Furthermore, the calculation unit 202 is adapted to be used also for the expected yield variation curve. Correspondingly, the evaluation unit 203 may be further configured to estimate an expected revenue peak value and a corresponding second peak time corresponding to the live pig according to the expected revenue variation curve, and determine the second peak time as the optimal slaughter time of the live pig
Fig. 3 is a schematic diagram of another terminal device according to an embodiment of the present application. As shown in fig. 3, the terminal device 400 of this embodiment includes: a processor 401, a memory 402 and a computer program 403, such as a live pig health monitoring and time to slaughter assessment program, stored in the memory 402 and executable on the processor 401. The processor 401, when executing the computer program 403, implements the steps in the above-described embodiments of the method for monitoring health and estimating slaughter time of live pigs, such as the steps shown in fig. 1. Alternatively, the processor 401 implements the functions of the modules/units in the above-described device embodiments when executing the computer program 403.
The computer program 403 may be partitioned into one or more modules/units that are stored in the memory 402 and executed by the processor 401 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program 403 in the terminal device 400. For example, the computer program 403 may be partitioned into a synchronization module, a summarization module, an acquisition module, a return module (a module in a virtual device).
The terminal device 400 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 401, a memory 402. Those skilled in the art will appreciate that fig. 3 is merely an example of a terminal device 400 and does not constitute a limitation of terminal device 400 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the terminal device may also include input output devices, network access devices, buses, etc.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an APplication Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 402 may be an internal storage unit of the terminal device 400, such as a hard disk or a memory of the terminal device 400. The memory 402 may also be an external storage device of the terminal device 400, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 400. Further, the memory 402 may also include both an internal storage unit and an external storage device of the terminal device 400. The memory 402 is used for storing the computer programs and other programs and data required by the terminal device. The memory 402 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method for monitoring health of live pigs and evaluating marketing time is characterized by comprising the following steps:
acquiring millimeter wave radar monitoring information of a live pig;
when the health of the live pig is determined according to the millimeter wave radar monitoring information, calculating the current unit weight breeding income corresponding to the live pig;
drawing a unit weight breeding yield change curve corresponding to the live pigs according to the current unit weight breeding yield and the previous unit weight breeding yield;
estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve;
and determining the first peak time as the optimal slaughter time of the live pigs.
2. The method of claim 1, wherein the step of calculating the current breeding yield per unit weight of the live pig comprises:
calculating the current weight of the live pig according to the millimeter wave radar monitoring information;
calculating the current expected income of the live pigs according to the accumulated breeding cost of the live pigs and the current weight of the live pigs;
and calculating the current unit weight breeding income corresponding to the live pigs according to the current expected income and the current weight of the live pigs.
3. The method according to claim 2, wherein a change curve of the unit weight breeding yield corresponding to the live pig is drawn according to the current unit weight breeding yield and the previous unit weight breeding yield; estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve; the step of determining the first peak time as the optimal slaughter time of the live pigs is replaced by the following steps:
drawing an expected income change curve corresponding to the live pig according to the current expected income and the prior expected income;
estimating an expected income peak value and corresponding second peak time corresponding to the live pig according to the expected income change curve;
and determining the second peak time as the optimal slaughter time of the live pigs.
4. The method of claim 3, wherein after the step of obtaining the millimeter wave radar monitoring information of the live pig, the method further comprises:
and judging whether the live pig is healthy or not according to the millimeter wave radar monitoring information.
5. The method of claim 4, wherein the step of determining whether the live pig is healthy according to the millimeter wave radar monitoring information comprises:
extracting the current heart rate and the current respiratory rate of the live pig according to the millimeter wave radar monitoring information;
and when the current heart rate of the live pig is within a preset heart rate range and the current respiratory frequency of the live pig is within a preset respiratory frequency range, determining that the live pig is healthy.
6. The method of claim 5, wherein the step of determining whether the live pig is healthy according to the millimeter wave radar monitoring information further comprises:
and when the current heart rate of the live pig exceeds a preset heart rate range or the current respiratory frequency of the live pig exceeds a preset respiratory frequency range, determining that the live pig is unhealthy.
7. The method according to claim 5 or 6, wherein the step of determining whether the live pig is healthy or not according to the millimeter wave radar monitoring information further comprises:
respectively adjusting the heart rate range and the respiratory frequency range according to the historical heart rate information and the respiratory frequency information of the healthy live pigs under the same breeding conditions;
and respectively determining the adjusted heart rate range and the adjusted respiratory frequency range as the preset heart rate range and the preset respiratory frequency range.
8. A terminal device, comprising:
the input unit is used for acquiring millimeter wave radar monitoring information of the live pigs;
the calculation unit is used for calculating the current unit weight cultivation income corresponding to the live pig when the health of the live pig is determined according to the millimeter wave radar monitoring information, and drawing a unit weight cultivation income change curve corresponding to the live pig according to the current unit weight cultivation income and the previous unit weight cultivation income;
and the evaluation unit is used for estimating a unit weight breeding income peak value and corresponding first peak time corresponding to the live pig according to the unit weight breeding income change curve, and determining the first peak time as the optimal marketing time of the live pig.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
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