CN114051973A

CN114051973A - Intelligent feeding method, device and system based on visual animal body ruler

Info

Publication number: CN114051973A
Application number: CN202210046053.1A
Authority: CN
Inventors: 周兴付; 任继平; 朱宝鑫; 李俊
Original assignee: Beijing Etag Technology Co ltd
Current assignee: Beijing Etag Technology Co ltd
Priority date: 2022-01-17
Filing date: 2022-01-17
Publication date: 2022-02-18

Abstract

The invention belongs to the technical field of cultivation, and particularly relates to an intelligent feeding method, device and system based on a visual animal body ruler, which comprises the following steps: acquiring image information and body size information of an animal; judging the animal type according to the image information of the animal; judging the body condition information of the animal according to the animal category and the body size information; and generating a feeding strategy according to the body condition information so that the feeding robot can carry out intelligent feeding according to the feeding strategy. The invention adopts the camera to realize the detection of the body size, has high real-time performance, no need of manual work and high intelligent degree, can timely adjust the blanking speed and the blanking amount by combining the read ear tag information after identifying the body size information of the animal, and can efficiently finish the adjustment of the fat condition.

Description

Intelligent feeding method, device and system based on visual animal body ruler

Technical Field

The invention belongs to the technical field of cultivation, and particularly relates to an intelligent feeding method, device and system based on a visual animal body ruler.

Background

Feeding is a necessary behavior for all animals, and the quality of feeding largely determines the health and growth rate of the animals. The intelligent feeding system is favored by the farms due to the efficient and intelligent management and the remarkable economic benefits. At present, to the body chi detection achievement of animal, still stay on the stage of artifical judgement, go to the body chi situation of observing the animal through artifical naked eye, need combine the experience of observing in the past just can be quick judgement current animal's body condition information, relatively consume manpower and time, hardly have the intellectuality, sometimes the untimely of body chi observation, just hardly accomplish the control of material volume and the intelligent adjustment of fat condition on feeding.

Disclosure of Invention

In order to solve the problems in the prior art, the embodiment of the invention provides the following technical scheme:

in a first aspect, the present application provides a method of intelligent feeding based on visual animal body scale, comprising:

acquiring image information and body size information of an animal;

carrying out image processing on the image information of the animal, and judging the animal type according to an image processing result;

judging the body condition information of the animal according to the animal category and the body size information;

and generating a feeding strategy according to the body condition information so that the feeding robot can carry out intelligent feeding according to the feeding strategy.

Further, the acquiring of the image information and the body size information of the animal further comprises acquiring an identification of the animal.

Further, according to the body condition information generate feeding tactics to make feeding robot carry out intelligent feeding according to the feeding tactics, include:

judging whether the body size information of the animal exceeds a preset body size standard or not;

if the body size information of the animal exceeds the preset body size standard, reducing the material amount;

and if the body size information of the animal is lower than the preset body size standard, increasing the material quantity.

In a second aspect, an intelligent feeding device based on a visual animal body ruler is characterized by comprising:

the acquisition module is used for acquiring image information and body size information of the animal;

the first judgment module is used for judging the animal type according to the image information of the animal;

the second judging module is used for judging the body condition information of the animal according to the animal type and the body size information;

and the intelligent feeding module generates a feeding strategy according to the body condition information so that the feeding robot can perform intelligent feeding according to the feeding strategy.

Further, still include:

and the ear tag reading module is used for acquiring the identification of the animal.

Further, the animal identification is an ear tag identification and is arranged on the animal ear.

Further, the identification comprises an RFID tag and/or a two-dimensional code.

In a third aspect, the present application provides a system for intelligent feeding based on a visual animal body ruler, which is applied to the method for intelligent feeding based on an animal body ruler in any one of the first aspect, and comprises:

the feeding robot comprises a camera, a controller and a feeding robot;

the controller is respectively in wireless connection with the camera and the feeding robot;

the camera is used for acquiring image information and body size information of an animal;

the controller is used for judging the animal type according to the image information of the animal;

judging the body condition information of the animal according to the animal category and the body size information, generating a feeding strategy according to the body condition information, and sending the feeding strategy to a feeding robot;

the feeding robot is used for carrying out intelligent feeding according to the feeding strategy.

And the user terminal is in wireless connection with the controller and is used for receiving alarm information sent by the controller.

The invention has the following beneficial effects:

the embodiment of the invention provides a method, a device and a system for intelligent feeding based on a visual animal body ruler, which comprises the following steps: acquiring image information and body size information of an animal; judging the animal type according to the image information of the animal; judging the body condition information of the animal according to the animal category and the body size information; and intelligently feeding according to the body condition information of the animals. The invention adopts the camera to realize the detection of the body size, has high real-time performance, no need of manual work and high intelligent degree, can timely adjust the blanking speed and the blanking amount by combining the read ear tag information after identifying the body size information of the animal, and can efficiently finish the adjustment of the fat condition.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic flow diagram of a method of visual animal body scale based intelligent feeding in one embodiment of the invention.

Fig. 2 is a schematic flow diagram of a method of visual animal body scale-based smart feeding in another embodiment of the invention.

Fig. 3 is a schematic structural diagram of a device for intelligent feeding based on a visual animal body ruler in one embodiment of the invention.

Fig. 4 is a schematic structural diagram of a system for intelligent feeding based on a visual animal body ruler according to an embodiment of the present application.

In the figure:

1. a camera; 2. a feeding robot; 3. a controller; 4. an ear tag reading module; 5. and a baffle plate.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.

Referring to fig. 1, fig. 1 is a schematic flow chart of a method for intelligent feeding based on a visual animal body scale according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps: the method comprises the following steps:

s101, acquiring image information and body size information of an animal;

the body size information is the shape index information of the animal body length, body height, body width, chest circumference and the like, and is called the body size information for short.

The image information of the animal comprises face information, back and hip of the animal for image acquisition.

Through carrying out image acquisition to face information, back or buttock, under the animal trend is static or static circumstances, gather body chi information through the camera, carry out the detection of different parts body chi according to the animal of different grade type.

Step S102, image processing is carried out on the image information of the animal, and the animal type is judged according to the image processing result;

specifically, the image information of the animal is input into a pre-trained animal type identification model, and an animal type corresponding to the image information of the animal is obtained;

it should be noted that the animal species identification model is the prior art, and is not improved in the present application, and details of the animal species identification model are not described herein again.

Step S103, judging the body condition information of the animal according to the animal type and the body size information;

specifically, the fat and thin condition of the body of the animal can be deduced by comparing the body size information with the preset body size standard.

And S104, generating a feeding strategy according to the body condition information so that the feeding robot can carry out intelligent feeding according to the feeding strategy.

Specifically, in one embodiment, the feeding strategy comprises:

It can be understood that the method for intelligent feeding based on the visual animal body ruler provided by the embodiment of the invention comprises the following steps: acquiring image information and body size information of an animal; judging the animal type according to the image information of the animal; judging the body condition information of the animal according to the animal category and the body size information; and intelligently feeding according to the body condition information of the animals. The invention adopts the camera to realize the detection of the body size, has high real-time performance, no need of manual work and high intelligent degree, can timely adjust the blanking speed and the blanking amount by combining the read ear tag information after identifying the body size information of the animal, and can efficiently finish the adjustment of the fat condition.

In another embodiment, obtaining image information and body size information of an animal further comprises obtaining an identification of the animal. So as to determine which animal is according to the animal's sign, and the intelligent feeding is carried out on the animal in a targeted manner.

The animal identification is used for identifying animal identity information and can comprise information such as the type, name, number and the like of an animal.

Referring to fig. 2, fig. 2 is a schematic flow chart of a method for intelligent feeding based on a visual animal body scale according to an embodiment of the present application, as shown in fig. 2, including the following steps:

step S201: the body size image information of the animal is collected through the camera, and the collected image information is transmitted to the controller.

Step S202: the processing of the image information is performed on the controller. Firstly, the specific class of the animal is identified, then the body size information corresponding to the animal is identified, the fat and thin condition of the body of the animal can be deduced according to the body size information, and the animal can be obtained by reading ear tag data.

Step S203 a: and if the animal body ruler data are in the adjustable and controllable directions, the controller sends the recognition result and the feeding strategy to the corresponding feeding robot after recognition is completed.

Step S203 b: if the animal body size data are identified to be abnormal, the animal is in an unhealthy state, the controller issues alarm information to the user terminal to prompt the user to go to check.

Step S204: the feeding robot finishes material level control according to a feeding strategy issued by the controller, and therefore intelligent adjustment of the fat condition is finished.

Specifically, the robot of feeding carries out intelligence according to the recognition result and feeds, selects different body size data discernment according to different animals, and different animals adopt different algorithms of feeding, accomplishes intelligence at last and feeds, through the body size information and the individual information of animal of feeding strategy and collection, can accomplish the intelligent adjustment of the fat condition of different animals.

Can understand, this application utilizes machine vision discernment animal body chi information, according to body chi information automatic adjustment volume of feeding, can rationally control the material volume, the fat condition of final control.

In one embodiment, for example, if the controller identifies that the pig's body condition information is too fat, the feed will be decreased, whereas if the pig's body condition information is too thin, the feed will be increased.

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent feeding device based on a visual animal body scale according to an embodiment of the present application, and as shown in fig. 3, the intelligent feeding device based on the animal body scale includes:

an obtaining module 301, configured to obtain image information and body size information of an animal;

a first judging module 302, configured to judge the category of the animal according to the image information of the animal;

a second judging module 303, configured to judge the body condition information of the animal according to the animal type and the body size information;

and the intelligent feeding module 304 is used for generating a feeding strategy according to the body condition information so that the feeding robot can perform intelligent feeding according to the feeding strategy.

The specific working processes of the obtaining module 301, the first judging module 302, the second judging module 303 and the intelligent feeding module 304 in the device for measuring and calculating the running reserve capacity disclosed by the present invention can refer to the corresponding contents in the method for intelligent feeding based on the visual body scale disclosed by the above embodiment of the present invention, and are not described herein again.

In one embodiment, the animal scale-based smart feeding apparatus further comprises:

and the ear tag reading module is used for acquiring the identification of the animal. Specifically, the animal identification is an ear tag identification and is arranged on the animal ear.

Wherein the identification comprises an RFID tag and/or a two-dimensional code. The identification of the animal can be determined by identifying the RFID tag and/or the two-dimensional code.

In summary, the application provides an intelligent feeding device based on visual animal body scale, which acquires image information and body scale information of an animal through an acquisition module; judging the animal type through a first judging module according to the image information of the animal; judging the body condition information of the animal according to the animal type and the body size information through a second judging module; and intelligently feeding the animals according to the body condition information of the animals through an intelligent feeding module. The invention solves the problems through the visual identification technology, realizes the detection of the animal body ruler, has high real-time performance, high intelligent degree and no need of manual work, can adjust the blanking rate and the blanking amount in time by combining the read ear tag information after identifying the body ruler information of the animal, and can efficiently complete the adjustment of the fat condition.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a system for intelligent feeding based on a visual animal body scale according to an embodiment of the present application, and a method for the system for intelligent feeding based on an animal body scale is shown in fig. 4, and the system for intelligent feeding based on an animal body scale includes:

the device comprises a camera 1, a controller 3 and a feeding robot 2;

the animal type and the body size information judge the body condition information of the animal, a feeding strategy is generated according to the body condition information, and the feeding strategy is sent to a feeding robot;

the feeding robot is used for intelligently feeding according to the body condition information of the animals.

As a further improvement of the above system, in some embodiments, the system for intelligent feeding based on an animal body scale further includes a user terminal, and the user terminal is wirelessly connected with the controller and is used for receiving alarm information sent by the controller.

In one embodiment, the animal enters between the two baffles 5, the camera 1 collects image information and body size information of the animal and then transmits the image information and the body size information to the controller 3, and meanwhile, the ear tag reading module 4 acquires the identification of the animal. Sending an identification of the animal to a controller; the controller 3 judges the animal type according to the image information of the animal; the controller 3 judges the body condition information of the animal according to the animal category and the body size information, generates a feeding strategy according to the body condition information of the animal, and sends the feeding strategy and the animal identification to the feeding robot; and the feeding robot intelligently feeds the animals with the identification according to the feeding strategy and the animal identification.

The system combines the feeding robot and the machine vision identification technology, and replaces the manual work to judge the body size information of the animal. This system is through carrying out image acquisition to back or buttock, under the animal condition that tends to static or static, gather body chi information through the camera, the animal according to the different grade type carries out the detection of different parts body chi, simultaneously through the body chi information situation of discerning, for example fat, fat partially, it is normal, thin, the data message of the condition such as thin partially, the controller combines these data message to decide feeding device's unloading how much and unloading rate, realize intelligent unloading, after feeding a period of time, can combine the animal sign of discerning and the body chi information of gathering to judge the body condition information of animal, then carry out the adjustment of how much and unloading rate of material volume, and then accomplish the intelligent adjustment of fat condition.

It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.

It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.

It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.

In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims

1. A method of intelligent feeding based on visual animal body scales, comprising:

acquiring image information and body size information of an animal;

2. The method of claim 1, wherein the obtaining image information and body size information of an animal further comprises obtaining an identification of the animal.

3. The method of claim 1, wherein generating a feeding strategy according to the body condition information to cause a feeding robot to perform intelligent feeding according to the feeding strategy comprises:

4. The utility model provides a device of intelligence feeding based on animal body chi of vision which characterized in that includes:

5. The apparatus of claim 4, further comprising:

6. The apparatus of claim 5, wherein the animal identification is an ear tag identification disposed on an ear of the animal.

7. The apparatus of claim 6, wherein the identification comprises an RFID tag and/or a two-dimensional code.

8. A system for visual animal body ruler based smart feeding applying the method of animal body ruler based smart feeding of any one of claims 1-3, comprising:

the feeding robot comprises a camera, a controller and a feeding robot;

9. The system of claim 8, further comprising a user terminal, wherein the user terminal is wirelessly connected to the controller and is configured to receive alarm information sent by the controller.