CN118089899A - Intelligent weighing system of intelligent cattle farm - Google Patents
Intelligent weighing system of intelligent cattle farm Download PDFInfo
- Publication number
- CN118089899A CN118089899A CN202410473147.6A CN202410473147A CN118089899A CN 118089899 A CN118089899 A CN 118089899A CN 202410473147 A CN202410473147 A CN 202410473147A CN 118089899 A CN118089899 A CN 118089899A
- Authority
- CN
- China
- Prior art keywords
- cattle
- weighing
- information
- cow
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 241000283690 Bos taurus Species 0.000 title claims abstract description 402
- 238000005303 weighing Methods 0.000 title claims abstract description 158
- 238000011161 development Methods 0.000 claims abstract description 30
- 238000010276 construction Methods 0.000 claims abstract description 13
- 230000037237 body shape Effects 0.000 claims description 21
- 239000003086 colorant Substances 0.000 claims description 15
- 238000003860 storage Methods 0.000 claims description 15
- 238000013459 approach Methods 0.000 claims description 13
- 238000000605 extraction Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 9
- 238000000034 method Methods 0.000 description 5
- 239000000463 material Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004584 weight gain Effects 0.000 description 1
- 235000019786 weight gain Nutrition 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G17/00—Apparatus for or methods of weighing material of special form or property
- G01G17/08—Apparatus for or methods of weighing material of special form or property for weighing livestock
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Business, Economics & Management (AREA)
- Animal Husbandry (AREA)
- Theoretical Computer Science (AREA)
- Environmental Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Computer Graphics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Software Systems (AREA)
- Human Resources & Organizations (AREA)
- Agronomy & Crop Science (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Biodiversity & Conservation Biology (AREA)
- Geometry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent weighing system of an intelligent cattle farm, which relates to the field of intelligent cultivation and comprises an acquisition module, a marking module and a weighing point identification code, wherein the acquisition module is used for acquiring cattle farm environment information; the weighing device comprises a marking module, a weighing module, a construction module, a coding module, a weighing module and a weighing module, wherein the marking module is used for marking the weight of the cattle, the weighing module is used for marking the weight of the cattle, the construction module is used for marking the weight development information of the cattle, and the weight development information of the cattle is classified based on preset conditions to obtain a plurality of weight development types of the cattle.
Description
Technical Field
The invention relates to the field of intelligent cultivation, in particular to an intelligent weighing system of an intelligent cattle farm.
Background
Publication number CN114623907a describes a stress-free weighing system for cattle: in the most important weighing link in the cattle raising industry, a traditional mode is still used for building channels, cattle are driven into the channels one by one to be weighed, in the process, a great amount of manpower is required to be consumed for carrying out the work of labor force such as channel building, cattle group driving, channel dismantling and the like, hundreds of cattle can be always weighed once a day, one thousand cattle pens can weigh all cattle once every three months, and according to the market visit of people, each cattle farm has no better scheme, so the cattle farm is subjected to research by going deep into each cattle farm, and is subjected to investigation on the cattle farm in the field, the life rule, habit, behavior and the like of the cattle are researched, and the stress-free full-automatic weighing system for the cattle is specially developed in combination with the first advanced technology in the hardware field and the big data management and analysis concept in the software field, so that the problems that the cattle raising industry is difficult to weigh and the weight gain analysis cannot be realized are perfectly solved;
At present, an intelligent cattle farm in China is still in a starting stage, and needs various supports and pushing of government, enterprises, farmers and the like for more intelligent management of the cattle farm, wherein the intelligent cattle farm needs staff to assist when weighing cattle, a large amount of labor cost is used, the weight of the cattle is difficult to be known more intelligently, and the weighing management requirement of a large-scale cattle farm cannot be met, so that an intelligent weighing system of the intelligent cattle farm is provided.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent weighing system of an intelligent cattle farm.
The invention solves the technical problems through the following technical proposal, which comprises the following steps:
The system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring cattle farm environment information, the cattle farm environment information comprises a field structure and a field range, and a cattle farm three-dimensional model is constructed based on the cattle farm environment information;
The marking module is connected with the acquisition module and is used for marking key points in the cattle farm three-dimensional model, marking the effective range based on weighing points and giving the weighing points identity codes to obtain key point identity information;
the coding module is connected with the marking module and used for obtaining the characteristics of the cattle body, and coding the cattle body based on the characteristics of the cattle body to obtain the identity information of the cattle;
The weighing module is connected with the encoding module and is used for acquiring the weight of the cattle in the weighing key point based on the identity information of the cattle and binding the weight of the cattle with the identity information of the cattle;
The construction module is connected with the weighing module and used for constructing weight development information of the cattle, and classifying the weight development information of the cattle based on preset conditions to obtain a plurality of weight development types of the cattle.
Further, the obtaining module includes:
The acquisition unit is used for acquiring a field structure and a field range corresponding to the field structure as cattle field environment information;
The model construction unit is used for constructing a three-dimensional model based on the cattle farm environment information, and performing name marking on the field structure in the three-dimensional model to obtain the cattle farm three-dimensional model.
Further, the marking module includes:
The setting unit is used for setting weighing points based on the cattle farm environment information and marking the weighing points in the cattle farm three-dimensional model;
the information acquisition unit is used for acquiring weighing path information of weighing key points, wherein the weighing path information comprises a weighing approach path and a weighing departure path, and the weighing path information is marked in the cattle farm three-dimensional model;
The marking unit is used for acquiring the effective weighing range based on the weighing points, marking the effective weighing range in the cattle farm three-dimensional model correspondingly to the weighing key points, and carrying out identity coding on the symmetrical key points in the cattle farm three-dimensional model to obtain weighing key identity information;
Weighing key points are arranged at the outlet positions to weigh the cattle only one by one, so that the weighing operation of the cattle only in a cattle farm can be completed, or the weighing key points are arranged at the outlet positions of the rest areas of the cattle only, wherein the positions where the weighing key points are arranged are positions through which the cattle only must pass, the weighing operation can be more comprehensively and without personnel participation, the intelligent automation can be realized, and the watching work energy of management personnel can be reduced.
Further, the encoding module includes:
The information construction unit is used for acquiring the cattle body shape information, wherein the cattle body shape information comprises a cattle body shape and a cattle body color, and a cattle body model is constructed based on the cattle body shape and the cattle body color;
The extraction unit is used for extracting the characteristic points of the shape of the cattle in the cattle model and the characteristic points of the color of the cattle as cattle characteristic information, and binding the cattle characteristic information with the cattle model;
The coding unit is used for coding the cattle body model to obtain cattle body information, storing the cattle body information, setting a storage code, and marking the storage code on the surface of the cattle body ear tag.
Further, the extraction unit includes:
the comparison unit is used for acquiring all the cattle body models and adjusting all the cattle body models into the same gesture to obtain comparison models;
The overlapping unit is used for overlapping all the comparison models to extract distribution positions corresponding to the different cow shapes, colors and colors in all the comparison models, taking the cow shapes with the differences as cow shape characteristic points, and taking the different colors and distribution positions corresponding to the colors as cow body color characteristic points;
and the management unit is used for taking the cow body shape characteristic points and cow body color characteristic points in the cow body model as cow body characteristic information.
Further, the weighing module includes:
The information acquisition unit is used for acquiring cow weighing information based on weighing points, wherein the cow weighing information comprises the number of the cows and weighing position information of the cows;
The judging unit is used for taking the weighing information of the cow meeting the preset weighing conditions as qualified information, and weighing the cow corresponding to the qualified information to obtain the weight of the cow;
and the information binding unit is used for acquiring the current size information of the cow body and binding the weight of the cow, the current size information of the cow body and the weight acquisition time of the cow with the identity information of the cow body.
Further, the information acquisition unit includes:
The identification setting unit is used for setting edge identification points on the weighing approach path based on the effective range of the weighing key points, wherein the edge identification points comprise left and right edge identification points and upper edge identification points;
The monitoring unit is used for acquiring the identity information of the cattle as the cattle to be detected based on the identification storage code of the edge identification point, identifying whether other cattle exist on two sides of the cattle to be detected on the weighing approach path based on the edge identification point, and driving the other cattle if the other cattle exist;
the data acquisition unit is used for allowing the cattle to be detected to move to the effective range of the weighing point and acquiring the number of the cattle in the weighing key effective range and the weighing position information of the cattle.
Further, the construction module includes:
The information arrangement unit is used for constructing the weight of the cow based on the weight acquisition time of the cow to obtain weight development information of the cow;
The dividing unit is used for setting a standard weight increase rate as a preset condition, and classifying the weight development information of the cattle based on the preset condition to obtain a plurality of weight development types of the cattle, wherein the weight development types of the cattle comprise cattle meeting the preset condition and cattle not meeting the preset condition.
Compared with the prior art, the invention has the following advantages: the position where the weighing key point is arranged is the position where the cow only has to pass through, so that weighing can be more comprehensive and people are not needed to participate in operation, intelligent automation can be improved, the attention of management personnel is reduced, and meanwhile, the weight of the cow only is better corresponding to the cow only, so that weighing is rapid and accurate.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an intelligent weighing system for an intelligent cattle farm, comprising:
The system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring cattle farm environment information, the cattle farm environment information comprises a field structure and a field range, and a cattle farm three-dimensional model is constructed based on the cattle farm environment information;
The marking module is connected with the acquisition module and is used for marking key points in the cattle farm three-dimensional model, marking the effective range based on weighing points and giving the weighing points identity codes to obtain key point identity information;
the coding module is connected with the marking module and used for obtaining the characteristics of the cattle body, and coding the cattle body based on the characteristics of the cattle body to obtain the identity information of the cattle;
The weighing module is connected with the encoding module and is used for acquiring the weight of the cattle in the weighing key point based on the identity information of the cattle and binding the weight of the cattle with the identity information of the cattle;
the construction module is connected with the weighing module and used for constructing weight development information of the cow, and classifying the weight development information of the cow based on preset conditions to obtain a plurality of weight development types of the cow;
Further, at present, the intelligent cattle farm in China is still in a starting stage, in order to more intelligently manage the cattle farm, various supports and pushing of government, enterprises, farmers and the like are needed, wherein people are needed to assist in weighing cattle in the intelligent cattle farm, a large amount of labor cost is used, the weight of the cattle is difficult to more intelligently know, the weighing management requirement of the cattle farm in a large range cannot be met, an inlet and an outlet are arranged in a feeding area, two different positions are arranged in the feeding area, an inlet opening and closing door is arranged in the feeding area, the inlet is closed after the cattle only enter the feeding area, the opening and closing door of the outlet is opened, the cattle only can be separated through the outlet after feeding is finished, weighing key is arranged in the outlet position, weighing operation of the cattle in the cattle farm can be completed, or weighing key is arranged in the outlet position of a rest area of the cattle only, the weighing key position of the cattle only has to pass through, the weighing operation of people can be more comprehensively and automatically realized, and the attention of the management personnel can be reduced;
in one embodiment, the acquisition module includes:
The acquisition unit is used for acquiring a field structure and a field range corresponding to the field structure as cattle field environment information;
the model construction unit is used for constructing a three-dimensional model based on the cattle farm environment information, and performing name marking on the field structure in the three-dimensional model to obtain a cattle farm three-dimensional model;
Further, when the cattle are weighed, the cattle are placed in the cattle farm and are places which are necessary to be passed through in the cattle farm, so that information such as the environment of the cattle farm needs to be collected, a three-dimensional model needs to be built to help the understanding of the internal environment of the cattle farm, in addition, the name of one place structure is marked in the three-dimensional model to obtain the cattle farm three-dimensional model, for example, the place name of the cattle farm activity is positioned in an active area, and the feeding position of the cattle is marked in the three-dimensional model as a feeding area and other area names, so that the environment of the cattle farm can be known more clearly, and the cattle are weighed later;
In one embodiment, the marking module comprises:
The setting unit is used for setting weighing points based on the cattle farm environment information and marking the weighing points in the cattle farm three-dimensional model;
the information acquisition unit is used for acquiring weighing path information of weighing key points, wherein the weighing path information comprises a weighing approach path and a weighing departure path, and the weighing path information is marked in the cattle farm three-dimensional model;
The marking unit is used for acquiring the effective weighing range based on the weighing points, marking the effective weighing range in the cattle farm three-dimensional model correspondingly to the weighing key points, and carrying out identity coding on the symmetrical key points in the cattle farm three-dimensional model to obtain weighing key identity information;
Further, the weighing points are set in the cattle farm to automatically collect the weight of the cattle, so that proper weighing points are required to be selected, the proper weighing points can be set on the feeding farm, or the positions where the cattle only need to pass through can be set at the positions of the outlets of the feeding area, for example, an inlet and an outlet are set in the feeding area, which are two different positions, the inlet of the feeding area is provided with an opening and closing door, the inlet is closed after the cattle only enter the feeding area, the opening and closing door of the outlet is opened, the cattle only leave through the outlet after the cattle feed is finished, the weighing points are set at the outlet positions to weigh the cattle only one by one, the weighing operation of the cattle in the cattle farm can be completed, or the weighing points are set at the outlet positions of the rest area of the cattle only, the weighing points are set at the positions where the cattle only need to pass through, the weighing operation of personnel is more comprehensive and not needed, the intelligent automation of personnel can be realized, and the caretaking work of management personnel can be reduced;
in one embodiment, the encoding module includes:
The information construction unit is used for acquiring the cattle body shape information, wherein the cattle body shape information comprises a cattle body shape and a cattle body color, and a cattle body model is constructed based on the cattle body shape and the cattle body color;
The extraction unit is used for extracting the characteristic points of the shape of the cattle in the cattle model and the characteristic points of the color of the cattle as cattle characteristic information, and binding the cattle characteristic information with the cattle model;
The coding unit is used for coding the cattle body model to obtain cattle body information, storing the cattle body information, setting a storage code, and marking the storage code on the surface of the cattle body ear tag;
In one embodiment, the extraction unit comprises:
the comparison unit is used for acquiring all the cattle body models and adjusting all the cattle body models into the same gesture to obtain comparison models;
The overlapping unit is used for overlapping all the comparison models to extract distribution positions corresponding to the different cow shapes, colors and colors in all the comparison models, taking the cow shapes with the differences as cow shape characteristic points, and taking the different colors and distribution positions corresponding to the colors as cow body color characteristic points;
The management unit is used for taking the characteristic points of the shape of the cattle in the cattle model and the characteristic points of the color of the cattle as cattle characteristic information;
Further, the method comprises acquiring cattle body motion video based on video, acquiring cattle body shape and cattle body color as cattle body shape information, constructing cattle body models based on cattle body shape information, adjusting all cattle body models to obtain cattle body models with the same posture, overlapping the cattle body models, obtaining distribution positions corresponding to different cattle body shapes, colors and colors in the cattle body models, taking the different cattle body shapes as cattle body shape characteristic points, taking the different colors and corresponding distribution positions as cattle body color characteristic points, further taking the cattle body shape characteristic points and cattle body color characteristic points in the cattle body models as cattle body characteristic information, the method comprises the steps of binding the characteristic information of the cattle body with the model of the cattle body, wherein the model of the cattle body can be subjected to information correspondence, then the corresponding model of the cattle body is subjected to coding to obtain the identification information of the cattle body, the identification information of the cattle body is stored, a storage code is set, the storage code is marked on the surface of an ear tag of the cattle body, the cattle body can be determined according to the characteristic information of the cattle body, the identification of the cattle body can be better carried out by coding the cattle body, the identification information of the cattle body and the model of the cattle body are used for determining, and when the cattle body is identified later, the identification needs to be carried out jointly through the ear tag and the characteristic information of the cattle body, so that the accuracy of the cattle body can be improved, the cattle body can be better managed, the replacement of the cattle body can be avoided, the safety of the cattle body breeding is ensured, and the subsequent weighing is convenient;
in one embodiment, the weighing module comprises:
The information acquisition unit is used for acquiring cow weighing information based on weighing points, wherein the cow weighing information comprises the number of the cows and weighing position information of the cows;
The judging unit is used for taking the weighing information of the cow meeting the preset weighing conditions as qualified information, and weighing the cow corresponding to the qualified information to obtain the weight of the cow;
The information binding unit is used for acquiring the current size information of the cow, and binding the weight of the cow, the current size information of the cow, the acquisition time of the cow weight and the identity information of the cow;
in one embodiment, the information acquisition unit includes:
The identification setting unit is used for setting edge identification points on the weighing approach path based on the effective range of the weighing key points, wherein the edge identification points comprise left and right edge identification points and upper edge identification points;
The monitoring unit is used for acquiring the identity information of the cattle as the cattle to be detected based on the identification storage code of the edge identification point, identifying whether other cattle exist on two sides of the cattle to be detected on the weighing approach path based on the edge identification point, and driving the other cattle if the other cattle exist;
the data acquisition unit is used for allowing the cattle to be detected to move to the effective range of the weighing point and acquiring the number of the cattle in the weighing key effective range and the weighing position information of the cattle;
Further, edge identification points are set on the edge of the effective range of the weighing points and are positioned on the weighing approach path, the identification points are respectively left and right edge identification points and upper edge identification points, when a cow enters the effective range of weighing emphasis on the weighing approach path, the identification information of the cow to be weighed is obtained through the edge identification points, the identification storage code of the edge identification points is used as the cow to be detected, meanwhile, whether other cow is positioned on two sides of the cow to be detected on the weighing approach path is identified based on the edge identification points, if other cow is positioned, the cow can be driven by the cow to be detected, the cow can enter the effective range of weighing emphasis through the weighing process path, the effective range can be used for driving other cow on the cow weighing platform, if other cow is positioned on two sides of the cow to be detected on the weighing approach path, the cow can be driven by the brush to the cow to be prevented from advancing, or the cow to be stopped by the brush to the cow to be detected is controlled by the real-time position of the cow to be detected, and the cow can be accurately driven by the brush to the cow through the weighing emphasis on the two sides, and the cow can be accurately driven by the cow to the weighing platform, and the cow can be accurately placed on the cow to the weighing emphasis on the two sides of the cow by the cow through the weighing emphasis path;
in one embodiment, the building block comprises:
The information arrangement unit is used for constructing the weight of the cow based on the weight acquisition time of the cow to obtain weight development information of the cow;
The dividing unit is used for setting a standard weight increase rate as a preset condition, and classifying the weight development information of the cattle on the basis of the preset condition to obtain a plurality of weight development types of the cattle, wherein the weight development types of the cattle comprise cattle meeting the preset condition and cattle not meeting the preset condition;
Further, the weight of the cow is listed based on the weight collection time of the cow to obtain a weight line of the cow which changes along with time and a growth rate is obtained as weight development information of the cow, then a standard weight growth rate is set for the cow to serve as a preset condition, and then the weight development information of the cow is classified based on the preset condition to obtain a plurality of weight development types of the cow, wherein the weight development types of the cow comprise cow which meets the preset condition and cow which does not meet the preset condition, the weight development types of the cow are used for classifying the development direction of the cow, marking the bad weight of the cow and are used for classifying the cow subsequently, so that personnel can know the quality condition of the cow conveniently, and the reference condition of the quality judgment of the cow subsequently is used.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," 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 present invention. In this specification, schematic representations of the above terms are not necessarily directed 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. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (8)
1. An intelligent weighing system for an intelligent cattle farm, comprising:
The system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring cattle farm environment information, the cattle farm environment information comprises a field structure and a field range, and a cattle farm three-dimensional model is constructed based on the cattle farm environment information;
The marking module is connected with the acquisition module and is used for marking key points in the cattle farm three-dimensional model, marking the effective range based on weighing points and giving the weighing points identity codes to obtain key point identity information;
the coding module is connected with the marking module and used for obtaining the characteristics of the cattle body, and coding the cattle body based on the characteristics of the cattle body to obtain the identity information of the cattle;
The weighing module is connected with the encoding module and is used for acquiring the weight of the cattle in the weighing key point based on the identity information of the cattle and binding the weight of the cattle with the identity information of the cattle;
The construction module is connected with the weighing module and used for constructing weight development information of the cattle, and classifying the weight development information of the cattle based on preset conditions to obtain a plurality of weight development types of the cattle.
2. An intelligent weighing system for an intelligent cattle farm according to claim 1, wherein: the acquisition module comprises:
The acquisition unit is used for acquiring a field structure and a field range corresponding to the field structure as cattle field environment information;
The model construction unit is used for constructing a three-dimensional model based on the cattle farm environment information, and performing name marking on the field structure in the three-dimensional model to obtain the cattle farm three-dimensional model.
3. An intelligent weighing system for an intelligent cattle farm according to claim 1, wherein: the marking module includes:
The setting unit is used for setting weighing points based on the cattle farm environment information and marking the weighing points in the cattle farm three-dimensional model;
the information acquisition unit is used for acquiring weighing path information of weighing key points, wherein the weighing path information comprises a weighing approach path and a weighing departure path, and the weighing path information is marked in the cattle farm three-dimensional model;
the marking unit is used for acquiring the weighing effective range based on the weighing point, marking the effective range corresponding to the weighing key point in the cattle farm three-dimensional model, and carrying out identity coding on the symmetrical key point in the cattle farm three-dimensional model to obtain the weighing key identity information.
4. An intelligent weighing system for an intelligent cattle farm according to claim 1, wherein: the encoding module includes:
The information construction unit is used for acquiring the cattle body shape information, wherein the cattle body shape information comprises a cattle body shape and a cattle body color, and a cattle body model is constructed based on the cattle body shape and the cattle body color;
The extraction unit is used for extracting the characteristic points of the shape of the cattle in the cattle model and the characteristic points of the color of the cattle as cattle characteristic information, and binding the cattle characteristic information with the cattle model;
The coding unit is used for coding the cattle body model to obtain cattle body information, storing the cattle body information, setting a storage code, and marking the storage code on the surface of the cattle body ear tag.
5. An intelligent weighing system for an intelligent cattle farm according to claim 4, wherein: the extraction unit includes:
the comparison unit is used for acquiring all the cattle body models and adjusting all the cattle body models into the same gesture to obtain comparison models;
The overlapping unit is used for overlapping all the comparison models to extract distribution positions corresponding to the different cow shapes, colors and colors in all the comparison models, taking the cow shapes with the differences as cow shape characteristic points, and taking the different colors and distribution positions corresponding to the colors as cow body color characteristic points;
and the management unit is used for taking the cow body shape characteristic points and cow body color characteristic points in the cow body model as cow body characteristic information.
6. An intelligent weighing system for an intelligent cattle farm according to claim 1, wherein: the weighing module comprises:
The information acquisition unit is used for acquiring cow weighing information based on weighing points, wherein the cow weighing information comprises the number of the cows and weighing position information of the cows;
The judging unit is used for taking the weighing information of the cow meeting the preset weighing conditions as qualified information, and weighing the cow corresponding to the qualified information to obtain the weight of the cow;
and the information binding unit is used for acquiring the current size information of the cow body and binding the weight of the cow, the current size information of the cow body and the weight acquisition time of the cow with the identity information of the cow body.
7. An intelligent weighing system for an intelligent cattle farm according to claim 6, wherein: the information acquisition unit includes:
The identification setting unit is used for setting edge identification points on the weighing approach path based on the effective range of the weighing key points, wherein the edge identification points comprise left and right edge identification points and upper edge identification points;
The monitoring unit is used for acquiring the identity information of the cattle as the cattle to be detected based on the identification storage code of the edge identification point, identifying whether other cattle exist on two sides of the cattle to be detected on the weighing approach path based on the edge identification point, and driving the other cattle if the other cattle exist;
the data acquisition unit is used for allowing the cattle to be detected to move to the effective range of the weighing point and acquiring the number of the cattle in the weighing key effective range and the weighing position information of the cattle.
8. An intelligent weighing system for an intelligent cattle farm according to claim 1, wherein: the construction module comprises:
The information arrangement unit is used for constructing the weight of the cow based on the weight acquisition time of the cow to obtain weight development information of the cow;
The dividing unit is used for setting a standard weight increase rate as a preset condition, and classifying the weight development information of the cattle based on the preset condition to obtain a plurality of weight development types of the cattle, wherein the weight development types of the cattle comprise cattle meeting the preset condition and cattle not meeting the preset condition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410473147.6A CN118089899B (en) | 2024-04-19 | 2024-04-19 | Intelligent weighing system of intelligent cattle farm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410473147.6A CN118089899B (en) | 2024-04-19 | 2024-04-19 | Intelligent weighing system of intelligent cattle farm |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118089899A true CN118089899A (en) | 2024-05-28 |
| CN118089899B CN118089899B (en) | 2024-07-09 |
Family
ID=91142296
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410473147.6A Active CN118089899B (en) | 2024-04-19 | 2024-04-19 | Intelligent weighing system of intelligent cattle farm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118089899B (en) |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09126873A (en) * | 1995-11-02 | 1997-05-16 | Kubota Corp | Gressorial animal weighing device |
| CN105654141A (en) * | 2016-01-06 | 2016-06-08 | 江苏大学 | Isomap and SVM algorithm-based overlooked herded pig individual recognition method |
| CN206420547U (en) * | 2017-01-24 | 2017-08-18 | 重庆重科智能装备研究院有限公司 | Poultry weighing instrument |
| CN107688947A (en) * | 2016-08-05 | 2018-02-13 | 惠州天熙智能科技有限公司 | A kind of animal husbandry intelligence system based on technology of Internet of things |
| CN208043210U (en) * | 2018-04-20 | 2018-11-02 | 高丽娟 | Ox Intelligent weighing device |
| CN209611111U (en) * | 2018-06-21 | 2019-11-12 | 重庆迪森尤斯自动化仪表有限公司 | A kind of piggy physique monitoring system |
| KR20200094840A (en) * | 2019-01-23 | 2020-08-10 | 주식회사 파이리코 | Animal Recognition Apparatus And Animal Recognition Method |
| CN111670834A (en) * | 2020-07-11 | 2020-09-18 | 霍祥明 | Big data-based intelligent detection and management system for pig breeding and growth health |
| CN112101076A (en) * | 2019-06-18 | 2020-12-18 | 虹软科技股份有限公司 | Method and device for identifying pigs |
| CN216438250U (en) * | 2021-12-23 | 2022-05-06 | 内蒙古工业大学 | Milk collecting system for cows |
| CN216869733U (en) * | 2022-01-27 | 2022-07-01 | 内蒙古智牧溯源技术开发有限公司 | Categorised platform that detects of flocks of sheep weight |
| CN217446168U (en) * | 2022-06-29 | 2022-09-20 | 安平县祥明网业制品有限公司 | Automatic cattle weighing grouping system |
| CN115457338A (en) * | 2022-11-09 | 2022-12-09 | 中国平安财产保险股份有限公司 | Method and device for identifying uniqueness of cow, computer equipment and storage medium |
| CN218483491U (en) * | 2022-08-02 | 2023-02-17 | 斯登丹巴 | Simple and easy fence in pasture |
| CN219437847U (en) * | 2023-02-09 | 2023-08-01 | 洛阳师范学院 | Cow only characteristic acquisition channel |
| CN116686738A (en) * | 2023-06-08 | 2023-09-05 | 南通睿牧制造有限公司 | Automatic weighing and identifying system for dairy cows |
| US20230281265A1 (en) * | 2021-10-13 | 2023-09-07 | South China Agricultural University | Method for estimating body size and weight of pig based on deep learning |
| CN117636400A (en) * | 2024-01-11 | 2024-03-01 | 中农华牧集团股份有限公司 | Method and system for identifying animal identity based on image |
-
2024
- 2024-04-19 CN CN202410473147.6A patent/CN118089899B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09126873A (en) * | 1995-11-02 | 1997-05-16 | Kubota Corp | Gressorial animal weighing device |
| CN105654141A (en) * | 2016-01-06 | 2016-06-08 | 江苏大学 | Isomap and SVM algorithm-based overlooked herded pig individual recognition method |
| CN107688947A (en) * | 2016-08-05 | 2018-02-13 | 惠州天熙智能科技有限公司 | A kind of animal husbandry intelligence system based on technology of Internet of things |
| CN206420547U (en) * | 2017-01-24 | 2017-08-18 | 重庆重科智能装备研究院有限公司 | Poultry weighing instrument |
| CN208043210U (en) * | 2018-04-20 | 2018-11-02 | 高丽娟 | Ox Intelligent weighing device |
| CN209611111U (en) * | 2018-06-21 | 2019-11-12 | 重庆迪森尤斯自动化仪表有限公司 | A kind of piggy physique monitoring system |
| KR20200094840A (en) * | 2019-01-23 | 2020-08-10 | 주식회사 파이리코 | Animal Recognition Apparatus And Animal Recognition Method |
| CN112101076A (en) * | 2019-06-18 | 2020-12-18 | 虹软科技股份有限公司 | Method and device for identifying pigs |
| CN111670834A (en) * | 2020-07-11 | 2020-09-18 | 霍祥明 | Big data-based intelligent detection and management system for pig breeding and growth health |
| US20230281265A1 (en) * | 2021-10-13 | 2023-09-07 | South China Agricultural University | Method for estimating body size and weight of pig based on deep learning |
| CN216438250U (en) * | 2021-12-23 | 2022-05-06 | 内蒙古工业大学 | Milk collecting system for cows |
| CN216869733U (en) * | 2022-01-27 | 2022-07-01 | 内蒙古智牧溯源技术开发有限公司 | Categorised platform that detects of flocks of sheep weight |
| CN217446168U (en) * | 2022-06-29 | 2022-09-20 | 安平县祥明网业制品有限公司 | Automatic cattle weighing grouping system |
| CN218483491U (en) * | 2022-08-02 | 2023-02-17 | 斯登丹巴 | Simple and easy fence in pasture |
| CN115457338A (en) * | 2022-11-09 | 2022-12-09 | 中国平安财产保险股份有限公司 | Method and device for identifying uniqueness of cow, computer equipment and storage medium |
| CN219437847U (en) * | 2023-02-09 | 2023-08-01 | 洛阳师范学院 | Cow only characteristic acquisition channel |
| CN116686738A (en) * | 2023-06-08 | 2023-09-05 | 南通睿牧制造有限公司 | Automatic weighing and identifying system for dairy cows |
| CN117636400A (en) * | 2024-01-11 | 2024-03-01 | 中农华牧集团股份有限公司 | Method and system for identifying animal identity based on image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118089899B (en) | 2024-07-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109145032B (en) | Intelligent monitoring method and system for bee breeding | |
| CN108875647B (en) | Moving track monitoring method and system based on livestock identity | |
| CN109242049B (en) | Water supply pipe network multipoint leakage positioning method and device based on convolutional neural network | |
| CN107169426A (en) | A kind of detection of crowd's abnormal feeling and localization method based on deep neural network | |
| CN107909046B (en) | Intelligent animal classification system and method | |
| CN206594721U (en) | Check class attendance system based on human face detection and tracing | |
| CN101908171A (en) | Breeding management system and method | |
| CN113886449A (en) | Big data information analysis system based on Internet of things | |
| CN113947734A (en) | Pig physical sign information acquisition method and system | |
| CN204393078U (en) | Domestic animal automatic Weighing hives off system | |
| CN109359768A (en) | A kind of data processing method, server and electronic equipment | |
| CN116686738A (en) | Automatic weighing and identifying system for dairy cows | |
| CN115508357A (en) | Monitoring system based on research of diversity of regional ecosystem | |
| CN116824626A (en) | Artificial intelligent identification method for abnormal state of animal | |
| CN106614071B (en) | Sow antenatal behavior monitoring system and method | |
| CN118089899B (en) | Intelligent weighing system of intelligent cattle farm | |
| CN115439001A (en) | Agricultural machinery supply and demand scheduling management system and method based on shared agricultural machinery big data | |
| CN116500998B (en) | Intelligent control method and system for medicine production equipment | |
| CN116597490A (en) | Individual feeding behavior tracking method for cattle based on YOLOv5 | |
| CN206977446U (en) | A kind of transformer station's operation platform automatic fault diagnosis and quick recovery system | |
| CN113014645A (en) | Grassland environment monitoring system based on Internet of things | |
| CN107714000A (en) | A kind of milk cow health state testing method and device | |
| CN112019607A (en) | Intelligent farm comprehensive control method and system based on visual cloud platform | |
| CN111026205A (en) | Smart young silkworm co-breeding system based on Internet of things technology | |
| CN116703346A (en) | Attendance management system and method based on big data and artificial intelligence |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |