CN116649236B - Cow breeding feeding monitoring management system - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 72
- 238000009395 breeding Methods 0.000 title claims abstract description 33
- 230000001488 breeding effect Effects 0.000 title claims abstract description 33
- 239000004459 forage Substances 0.000 claims abstract description 226
- 241000283690 Bos taurus Species 0.000 claims abstract description 221
- 235000013365 dairy product Nutrition 0.000 claims abstract description 166
- 235000013305 food Nutrition 0.000 claims abstract description 60
- 230000013872 defecation Effects 0.000 claims abstract description 39
- 239000008267 milk Substances 0.000 claims abstract description 14
- 235000013336 milk Nutrition 0.000 claims abstract description 14
- 210000004080 milk Anatomy 0.000 claims abstract description 14
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 16
- 238000010521 absorption reaction Methods 0.000 claims description 15
- 235000016709 nutrition Nutrition 0.000 claims description 15
- 230000035764 nutrition Effects 0.000 claims description 13
- 230000002550 fecal effect Effects 0.000 claims description 12
- 235000015816 nutrient absorption Nutrition 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 230000003636 fecal output Effects 0.000 claims 1
- 235000012041 food component Nutrition 0.000 claims 1
- 239000005417 food ingredient Substances 0.000 claims 1
- 230000002159 abnormal effect Effects 0.000 abstract description 3
- 239000000463 material Substances 0.000 description 9
- 238000010586 diagram Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000026438 poor feeding Diseases 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000010902 straw Substances 0.000 description 1
Classifications
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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
- A01K5/00—Feeding devices for stock or game ; Feeding wagons; Feeding stacks
- A01K5/02—Automatic devices
- A01K5/0275—Automatic devices with mechanisms for delivery of measured doses
-
- 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
-
- 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
- A01K5/00—Feeding devices for stock or game ; Feeding wagons; Feeding stacks
- A01K5/02—Automatic devices
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Abstract
The invention belongs to the technical field of dairy cow breeding feeding monitoring, and particularly discloses a dairy cow breeding feeding monitoring management system, which comprises: the invention relates to a milk cow breeding area dividing module, a residual fodder monitoring and analyzing module, a fodder throwing amount control module, a milk cow edible fodder monitoring and analyzing module, a milk cow defecation monitoring and analyzing module, a milk cow body health index evaluation module and a database, wherein residual fodder images of corresponding food tanks of all subregions judge that residual fodder matching indexes and residual fodder accord with standard indexes, the residual fodder quality indexes are evaluated according to the residual fodder matching indexes, and throwing amount is distinguished according to an evaluation result, so that fodder eating rate is effectively ensured, and the quality of milk cow edible fodder is ensured; the health indexes of the cows are evaluated according to the edible forage monitoring and analyzing module and the defecation monitoring and analyzing module of the cows, and the health conditions of the cows are timely monitored according to the evaluation results, so that the timeliness of abnormal medical treatment of the cows is ensured.
Description
Technical Field
The invention belongs to the technical field of dairy cow breeding feeding monitoring and controlling, and relates to a dairy cow breeding feeding monitoring and controlling management system.
Background
At present, the dairy cow breeding industry has higher and higher status in China, most of the dairy cow breeding in China has larger and larger scale, but the breeding cost for breeding the dairy cows is gradually increased along with the increase of the scale.
In the prior art, as disclosed in application publication number CN107155916B, the automatic monitoring dairy cow feeding device mainly defines and distributes respective feeding forage for each individual in a cattle group, and after the distribution information is defined, the system fully automatically controls the work of each feeding station, so that a large amount of manpower and material resources are saved, meanwhile, the working condition of each trough can be monitored in real time, and important information such as dairy cow information, forage weight and the like is saved, so that the analysis and the processing of experimenters are facilitated.
With respect to the above-described solution, the present inventors considered that the active feeding status of cows is not fixed, and is embodied in the following aspects: 1. in the eating process of the dairy cows, the situation that the forage is not eaten by the food grooves exists, and if the forage which is not eaten by the dairy cows is directly cleaned, the large-scale cultivation factory is wasted with a great extent of resources; if the unexpired forage is not cleaned timely, the quality index of the unexpired forage in the feeding trough is not in accordance with the dairy cow eating standard, so that the unexpired forage in the feeding trough is polluted, and serious harm is brought to the bodies of the dairy cows when the dairy cows eat the unclean forage for a long time.
2. Though the dairy cows actively feed, manpower and material resources can be reduced, the feeding of each time is fixed, the feeding amount cannot be controlled according to the residual amount of the feeding trough, and meanwhile, the feeding condition of the dairy cows cannot be observed in real time, so that the feeding of the dairy cows is unstable.
3. In the prior art, the body health index of the dairy cow cannot be judged according to the feeding condition and the defecation condition of the dairy cow, and a worker needs to check each dairy cow regularly to obtain the body health condition of the dairy cow, so that the timeliness of the body detection of the dairy cow cannot be ensured.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, the object of the present invention can be achieved by the following technical solutions: a dairy cow breeding feeding monitoring management system comprising: the dairy cow breeding area dividing module is used for dividing the dairy cow breeding area according to the same area to obtain each subarea in the dairy cow breeding area, and placing a plurality of dairy cows with the same growth stage in each subarea one by one.
The residual fodder monitoring and analyzing module is used for collecting residual fodder images of the corresponding food slots of all the subregions in the dairy cow breeding area, analyzing the residual fodder quality indexes of the corresponding food slots of all the subregions, and if the residual fodder quality index of the corresponding food slots of a certain subregion is larger than or equal to the residual fodder quality index of a preset food slot, monitoring the residual fodder quantity of the corresponding food slots of the subregion, otherwise, giving an early warning.
The forage feeding quantity control module is used for obtaining single standard feeding quantity of the corresponding trough of each subarea, analyzing actual forage feeding quantity of the corresponding trough of each subarea and carrying out corresponding feeding.
The dairy cow forage monitoring and analyzing module is used for monitoring the related information of each forage consumption of the dairy cows in a set time period corresponding to each subregion, wherein the related information comprises the eating amount and the eating duration, and analyzing the eating monitoring influence index of the dairy cows corresponding to each subregion.
The dairy cow defecation monitoring and analyzing module is used for monitoring fecal images of the dairy cows corresponding to each subarea in each defecation within a set time period and analyzing nutrition absorption influence indexes of the dairy cows corresponding to each subarea.
The milk cow body health index evaluation module is used for analyzing the body health index of the milk cow corresponding to each subarea, and if the body health index of the milk cow corresponding to a certain area is smaller than the corresponding standard health index, an early warning is sent to a background staff.
And the database is used for storing standard forage images corresponding to the cows in each growth stage and standard images corresponding to the different objects, and storing standard health indexes corresponding to the cows in each subarea.
As a preferred technical solution, the analyzing the residual forage quality indexes of the corresponding food slots of each subregion specifically includes: extracting standard forage images corresponding to cows in each growth stage stored in a database, acquiring the growth stages corresponding to cows in each subarea, screening the standard forage images corresponding to cows in each subarea, and obtaining average forage lengths and average forage widths of all forage types in the standard forage images corresponding to cows in each subarea, wherein the average forage lengths and average forage widths are respectively marked as A' ij 、B′ ij I denotes the number of each sub-region, i=1, 2, … n, j denotes the number of the forage type, j=1, 2, … m.
According to the residual forage image of the corresponding trough of each subarea, the forage length and the forage width of each forage category in the residual forage image of the corresponding trough of each subarea are obtained and are marked as A ij 、B ij And then through the formulaCalculating to obtain residual forage matching index epsilon of corresponding trough of each subregion i E is expressed as a natural constant.
Extracting standard images corresponding to different matters stored in a database, comparing the residual forage images of the food slots corresponding to the subareas with the standard images corresponding to the different matters, and analyzing the standard images of the residual forage images of the food slots corresponding to the subareas and the standard images corresponding to the different mattersComparing the similarity of the images with a preset similarity threshold, and if the similarity of the residual forage image of the food groove corresponding to a certain subarea and the standard image corresponding to a certain foreign matter is greater than or equal to the similarity threshold, marking the residual forage coincidence standard index of the food groove corresponding to the subarea as delta; if the similarity of the residual forage image of the trough corresponding to a certain subarea and the similarity of the standard image corresponding to each variant are smaller than the similarity threshold, marking the residual forage coincidence standard index of the trough corresponding to the subarea as eta, and counting the residual forage coincidence standard index omega of the trough corresponding to each subarea i I.e. omega i =δ or η.
According to the residual forage matching index of the corresponding trough of each subarea and the standard index of the residual forage, calculating to obtain the comprehensive quality index phi of the residual forage of the corresponding trough of each subarea i The calculation formula is
As a preferred technical scheme, the specific mode for analyzing the similarity between the residual forage image of the corresponding trough of each subregion and each different standard image is as follows: selecting each forage image of each forage type from the residual forage images of each subarea corresponding to the food slots, further removing the images of each forage in each forage type to obtain residual part images of each subarea corresponding to the food slots, dividing the residual part images of each subarea corresponding to the food slots to obtain residual part sub-images of each subarea corresponding to the food slots, comparing the residual part sub-images of each subarea corresponding to the food slots with standard images of each foreign matter to obtain overlapping areas lambda of the residual part sub-images of each subarea corresponding to the food slots and the standard images of each foreign matter i qp Q is denoted as the remaining sub-image number of the trough, q=1, 2, … x, and the standard image number of the trough foreign matter is set to 1,2Λ' p Denoted as the firstArea of p foreign matter standard images, +.>And the deviation coefficient is expressed as the similarity between the preset food trough residual part sub-image and the foreign matter standard image.
As a preferable technical scheme, the analyzing the actual forage feeding amount of the corresponding trough of each subregion specifically comprises: and monitoring the residual forage weight of the corresponding trough of the subareas through a weight sensor to obtain the residual forage quantity of the corresponding trough of the subareas if the residual forage quality index of the corresponding trough of the subareas is larger than or equal to the residual forage quality index of the preset trough according to the residual forage quality index of the corresponding trough of the subareas.
And comparing the residual forage amount of the corresponding trough of the subarea with the single standard feeding amount of the corresponding trough of the subarea, and if the residual forage amount of the corresponding trough of the subarea is smaller than the single standard feeding amount of the corresponding trough, making a difference between the single standard feeding amount of the corresponding trough of the subarea and the residual forage amount of the corresponding trough of the subarea to obtain the actual forage feeding amount of the corresponding trough of the subarea.
If the residual forage quality index of the corresponding trough of a certain subarea is smaller than the residual forage quality index of the preset trough, the serial number corresponding to the subarea is sent to a background staff, and the single standard feeding amount of the corresponding trough of the subarea is used as the actual forage feeding amount.
And further analyzing the forage throwing time required by the corresponding trough of each subarea.
As a preferable technical scheme, the specific mode of analyzing the forage throwing time required by the corresponding trough of each subregion is as follows: calculating the required forage throwing time of the corresponding trough of each subarea according to the obtained actual forage throwing amount of the corresponding trough of each subarea, and calculating a formulaWherein Γ is i The forage throwing time required by the corresponding trough of the ith sub-area is expressed as V 0 The corresponding feeding pipeline is shown as presetThe forage feeding amount of the feed opening in unit time is V i Needs to be as follows The actual forage feeding amount of the corresponding trough of the ith sub-area is shown.
As a preferable technical scheme, the specific analysis process for analyzing the eating monitoring influence indexes of the dairy cows corresponding to each subarea comprises the following steps: and acquiring the edible videos of the dairy cows corresponding to each subregion in a set time period through the camera, so as to obtain the edible duration of the forage for each time of the dairy cows corresponding to each subregion in the set time period.
And monitoring the residual forage amount of each sub-area corresponding to the dairy cows after each time of forage consumption in a set time period according to the weight sensor, and obtaining the eating amount of each time of forage consumption of each sub-area corresponding to the dairy cows in the set time period.
According to the eating amount and the eating duration of each edible forage of the dairy cows corresponding to each subregion in the set time period, calculating the edible monitoring influence index of the dairy cows corresponding to each subregionWherein psi is i The eating monitoring influence index of the dairy cows corresponding to the ith sub-area is expressed, k is expressed as the number of times of eating the dairy cows in a set time period, and k=1, 2, … d and T ik 、M ik Respectively representing the eating time and the eating quantity of the forage for the kth time of the dairy cows in the set time period corresponding to the ith sub-area, wherein DeltaM and DeltaT respectively represent the preset eating quantity and allowable error value of the eating time, alpha 1 、α 2 The eating monitoring impact index duty cycle is expressed as a preset eating amount and eating duration, respectively.
As a preferable technical scheme, the analysis of the nutrition absorption influence indexes of the dairy cows corresponding to each subarea specifically comprises the following steps: and extracting fecal images of the dairy cows corresponding to each subarea in the set time period to obtain the volume and the shape of the dairy cows corresponding to each subarea in the set time period.
Comparing the defecation shape of each cow corresponding to each subarea in the set time period with the preset nutrition absorption weight factors corresponding to the fecal shape of each cow, and screening out each subarea pairThe shape of each defecation of the dairy cow in the set time period corresponds to the nutrition absorption weight factor theta ir R is denoted as the number of bowel movements, r=1, 2, … u.
Analyzing nutrition absorption influence index of dairy cows corresponding to each subareaWherein V is ir The ith subarea corresponds to the (r) defecation volume of the dairy cow, deltaV is the tolerance of the actual defecation volume of the preset dairy cow in the set time period and the preset defecation volume, E is the nutrient absorption weight factor corresponding to the defecation volume of the preset dairy cow in the set time period, and Deltag is the defecation volume conversion rate corresponding to the unit forage consumption of the preset dairy cow in the normal state.
As a preferable technical scheme, the specific calculation process for analyzing the body health index of the dairy cow corresponding to each subregion comprises the following steps:wherein beta is i The physical health index of the cow corresponding to the ith sub-area +.>Weight factor corresponding to the set eating monitoring influence index +_>Expressed as a weight factor, delta, corresponding to the set nutrient absorption impact index 0 A correction value expressed as the set body health index.
And extracting standard health indexes of the dairy cows corresponding to all the subregions in the database, comparing the standard health indexes with the body health indexes of the dairy cows corresponding to all the subregions, and if the body health index of the dairy cows corresponding to a certain subregion is smaller than the standard health index of the corresponding dairy cow, transmitting the serial number of the subregion to background staff.
Compared with the prior art, the invention has the following beneficial effects: 1. the invention monitors the feeding amount and the residual amount of the corresponding food slots of each subregion based on the dairy cow breeding feeding monitoring management system, analyzes the quality index of the residual materials of the corresponding food slots of each subregion, and accordingly carries out corresponding treatment on the residual materials in time, thereby ensuring the utilization rate of the forage to a great extent, reducing the waste of the forage and simultaneously preventing the healthy influence of the unclean forage on the dairy cows.
2. According to the method, the feeding grooves of the dairy cows in each subregion are monitored, the actual forage feeding amount of the corresponding feeding grooves in each subregion is analyzed according to the single standard feeding amount of the corresponding feeding grooves in each subregion, the uniformity of the feeding amount of the dairy cows each time is ensured, abnormal judgment can be timely made on the feeding condition of the dairy cows if the dairy cows have a small feeding condition, and the feeding stability of the dairy cows is ensured.
3. According to the method, the edible amount and the edible duration of the dairy cow edible forage in each subregion and the fecal image of each defecation in the set time period are monitored, the body health index of the dairy cow is analyzed, if the body health index of the dairy cow corresponding to a certain region is smaller than the corresponding standard health index, the dairy cow can be further checked in time, and the method has timeliness in body health monitoring of the dairy cow.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Fig. 2 is a schematic diagram of dividing a dairy cow breeding area in the present invention.
Fig. 3 is a schematic diagram of fodder feeding of corresponding trough of each subregion in the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a dairy cow breeding feeding monitoring management system, which comprises a dairy cow breeding area dividing module, a residual material monitoring analysis module, a forage feeding amount control module, a dairy cow edible forage monitoring analysis module, a dairy cow defecation monitoring analysis module, a dairy cow body health index evaluation module and a database.
The connection relation between the modules is as follows: the cow breeding area dividing module is connected with the forage feeding amount control module, the forage feeding amount control module is connected with the residual forage monitoring and analyzing module, the residual forage monitoring and analyzing module is respectively connected with the cow eating forage monitoring and analyzing module and the cow defecation monitoring and analyzing module, the cow body health index evaluating module is respectively connected with the cow eating forage monitoring and analyzing module and the cow defecation monitoring and analyzing module, and the database is respectively connected with the residual forage monitoring and analyzing module and the cow body health index evaluating module.
Referring to fig. 2, the dairy cow breeding area dividing module is configured to divide the dairy cow breeding area into areas according to the same area, obtain each sub-area in the dairy cow breeding area, and place a plurality of dairy cows in the same growth stage in each sub-area one by one.
The residual fodder monitoring and analyzing module is used for collecting residual fodder images of the corresponding food slots of all the subregions in the dairy cow breeding area, analyzing the residual fodder quality indexes of the corresponding food slots of all the subregions, and if the residual fodder quality index of the corresponding food slots of a certain subregion is larger than or equal to the residual fodder quality index of a preset food slot, monitoring the residual fodder quantity of the corresponding food slots of the subregion, otherwise, giving an early warning.
Based on the scheme, the analysis of the residual forage quality indexes of the corresponding feeding slots of each subarea specifically comprises the following steps: extracting standard forage images corresponding to cows in each growth stage stored in a database, acquiring the growth stages corresponding to the cows in each subarea, and screening the cows in each subareaObtaining average forage length and average forage width of each forage category in the standard forage image corresponding to the dairy cows in each subarea, and respectively marking as A' ij 、B′ ij I denotes the number of each sub-region, i=1, 2, … n, j denotes the number of the forage type, j=1, 2, … m.
It should be noted that the above-mentioned forage types include crop straw, grass, hay, and the like.
According to the residual forage image of the corresponding trough of each subarea, the forage length and the forage width of each forage category in the residual forage image of the corresponding trough of each subarea are obtained and are marked as A ij 、B ij And then through the formulaCalculating to obtain residual forage matching index epsilon of corresponding trough of each subregion i E is expressed as a natural constant, where the larger the length and width of the forage, the smaller the difference in area of the various forage in the remaining forage image from the area of the various forage in the standard forage image, and the larger the remaining forage matching index.
Extracting standard images corresponding to various matters stored in a database, comparing the residual forage images of the food slots corresponding to the subareas with the standard images corresponding to the various matters, analyzing the similarity between the residual forage images of the food slots corresponding to the subareas and the standard images corresponding to the various matters, comparing the similarity with a preset similarity threshold, and if the similarity between the residual forage images of the food slots corresponding to the subareas and the standard images corresponding to the various matters is greater than or equal to the similarity threshold, marking the residual forage coincidence standard index of the food slots corresponding to the subareas as delta; if the similarity of the residual forage image of the trough corresponding to a certain subarea and the similarity of the standard image corresponding to each variant are smaller than the similarity threshold, marking the residual forage coincidence standard index of the trough corresponding to the subarea as eta, and counting the residual forage coincidence standard index omega of the trough corresponding to each subarea i I.e. omega i =δ or η.
According to the residual forage matching index of the corresponding trough of each subarea and the residual forage meeting the standardCalculating the index to obtain the comprehensive quality index phi of the residual forage corresponding to the trough in each subarea i The calculation formula is
In a specific embodiment of the present invention, the specific manner of analyzing the similarity between the residual forage image of the corresponding trough of each sub-region and each standard image of different objects is as follows: selecting each forage image of each forage type from the residual forage images of each subarea corresponding to the food slots, further removing the images of each forage in each forage type to obtain residual part images of each subarea corresponding to the food slots, dividing the residual part images of each subarea corresponding to the food slots to obtain residual part sub-images of each subarea corresponding to the food slots, comparing the residual part sub-images of each subarea corresponding to the food slots with standard images of each foreign matter to obtain overlapping areas lambda of the residual part sub-images of each subarea corresponding to the food slots and the standard images of each foreign matter i qp Q is denoted as the remaining sub-image number of the trough, q=1, 2, … x, and the standard image number of the trough foreign matter is set to 1,2Λ' p Area expressed as p-th foreign matter standard image, is->And the deviation coefficient is expressed as the similarity between the preset food trough residual part sub-image and the foreign matter standard image.
The method for dividing the image of the rest of the food trough corresponding to each sub-region is to divide the image by super-pixels, and the sub-image obtained by dividing the pixels is a small region composed of pixel points with similar characteristics such as color, brightness and texture of the foreign matter.
Referring to fig. 3, a fodder feeding amount control module is configured to obtain a single standard feeding amount of the corresponding food slots in each sub-region, analyze an actual fodder feeding amount of the corresponding food slots in each sub-region, and perform corresponding feeding.
In a further embodiment of the present invention, the analysis of the actual forage feeding amount of the corresponding feeding trough of each sub-region is specifically: and monitoring the residual forage weight of the corresponding trough of the subareas through a weight sensor to obtain the residual forage quantity of the corresponding trough of the subareas if the residual forage quality index of the corresponding trough of the subareas is larger than or equal to the residual forage quality index of the preset trough according to the residual forage quality index of the corresponding trough of the subareas.
Further, the weight sensor required for measuring the remaining material is mounted at the bottom of the trough.
And comparing the residual forage amount of the corresponding trough of the subarea with the single standard feeding amount of the corresponding trough of the subarea, and if the residual forage amount of the corresponding trough of the subarea is smaller than the single standard feeding amount of the corresponding trough, making a difference between the single standard feeding amount of the corresponding trough of the subarea and the residual forage amount of the corresponding trough of the subarea to obtain the actual forage feeding amount of the corresponding trough of the subarea.
If the residual forage quality index of the corresponding trough of a certain subarea is smaller than the residual forage quality index of the preset trough, the serial number corresponding to the subarea is sent to a background staff, and the single standard feeding amount of the corresponding trough of the subarea is used as the actual forage feeding amount.
And further analyzing the forage throwing time required by the corresponding trough of each subarea.
In a specific embodiment of the present invention, the specific manner of analyzing the forage feeding time required by each sub-region corresponding to the trough is: calculating the required forage throwing time of the corresponding trough of each subarea according to the obtained actual forage throwing amount of the corresponding trough of each subarea, and calculating a formulaWherein Γ is i The forage throwing time required by the corresponding trough of the ith sub-area is expressed as V 0 The representation is that the preset feeding pipeline corresponds to the forage feeding of the blanking mouth in unit timePut quantity, V i Needs to be as follows The actual forage feeding amount of the corresponding trough of the ith sub-area is shown.
In the embodiment, the feeding amount and the residual amount of the corresponding feeding slots of the dairy cows in each subregion are monitored, the quality index of the residual materials of the corresponding feeding slots of the dairy cows is analyzed, and if the quality of the residual materials does not reach the standard, the residual materials are cleaned in time, so that the influence of the unclean forage on the body health of the dairy cows is prevented; if the quality of the residual feed reaches the standard, the actual feeding amount can be controlled according to the standard feeding amount, so that the waste of the forage can be reduced, the eating rate of the cow to the forage is ensured to a great extent, and the feeding cost of cow breeding is reduced.
The dairy cow forage monitoring and analyzing module is used for monitoring the related information of each forage consumption of the dairy cows in a set time period corresponding to each subregion, wherein the related information comprises the eating amount and the eating duration, and analyzing the eating monitoring influence index of the dairy cows corresponding to each subregion.
In a preferred embodiment, the specific analysis process for analyzing the feeding monitoring impact index of each subarea corresponding to the dairy cows is as follows: and acquiring the edible videos of the dairy cows corresponding to each subregion in a set time period through the camera, so as to obtain the edible duration of the forage for each time of the dairy cows corresponding to each subregion in the set time period.
The set time period here refers to the interval between two feeding feeds.
The edible duration of each time of forage eating in the set time period is obtained from a plurality of small videos taken from a long video shot by a camera.
And monitoring the residual forage amount of each sub-area corresponding to the dairy cows after each time of forage consumption in a set time period according to the weight sensor, and obtaining the eating amount of each time of forage consumption of each sub-area corresponding to the dairy cows in the set time period.
The consumption of each time of forage in the set time period is obtained by taking the difference between the residual quantity of each time of starting eating and the residual quantity of each time of ending eating in the shot video.
According to the method, the feeding grooves of the dairy cows in each subregion are monitored, the actual forage feeding amount of the corresponding feeding grooves in each subregion is analyzed according to the single standard feeding amount of the corresponding feeding grooves in each subregion, the uniformity of the feeding amount of the dairy cows each time is ensured, abnormal feeding judgment of the dairy cows can be timely made if the dairy cows have a poor feeding condition, and the feeding stability of the dairy cows is ensured.
According to the eating amount and the eating duration of each edible forage of the dairy cows corresponding to each subregion in the set time period, calculating the edible monitoring influence index of the dairy cows corresponding to each subregionWherein psi is i The eating monitoring influence index of the dairy cows corresponding to the ith sub-area is expressed, k is expressed as the number of times of eating the dairy cows in a set time period, and k=1, 2, … d and T ik 、M ik Respectively representing the eating time and the eating amount of the forage for the kth time of the dairy cow in a set time period corresponding to the ith sub-area, wherein DeltaM and DeltaT respectively represent the preset eating amount and allowable error value of the eating time, alpha 1 、α 2 The eating monitoring impact index duty cycle is expressed as a preset eating amount and eating duration, respectively.
The dairy cow defecation monitoring and analyzing module is used for monitoring fecal images of the dairy cows corresponding to each subarea in each defecation within a set time period and analyzing nutrition absorption influence indexes of the dairy cows corresponding to each subarea.
In a further preferred embodiment, the analysis of the nutritional absorption impact index of each sub-region for a cow is specifically: and extracting fecal images of the dairy cows corresponding to each subarea in the set time period to obtain the volume and the shape of the dairy cows corresponding to each subarea in the set time period.
The defecation volume obtained from the fecal image of the cow was calculated from the area of the image and the height obtained from the image.
Comparing the defecation shapes of the dairy cows corresponding to the subregions in the set time period with the preset nutrition absorption weight factors corresponding to the fecal shapes of the dairy cows, and screening the defecation of the dairy cows corresponding to the subregions in the set time periodShape corresponding to nutrient absorption weight factor θ ir R is denoted as the number of bowel movements, r=1, 2, … u.
Analyzing nutrition absorption influence index of dairy cows corresponding to each subareaWherein V is ir The ith subarea corresponds to the (r) defecation volume of the dairy cow, deltaV is the tolerance of the actual defecation volume of the preset dairy cow in the set time period and the preset defecation volume, E is the nutrient absorption weight factor corresponding to the defecation volume of the preset dairy cow in the set time period, and Deltag is the defecation volume conversion rate corresponding to the unit forage consumption of the preset dairy cow in the normal state.
The milk cow body health index evaluation module is used for analyzing the body health index of the milk cow corresponding to each subarea, and if the body health index of the milk cow corresponding to a certain area is smaller than the corresponding standard health index, an early warning is sent to a background staff.
The specific calculation process for analyzing the body health index of the dairy cows corresponding to each subregion comprises the following steps:wherein beta is i The physical health index of the cow corresponding to the ith sub-area +.>Weight factor corresponding to the set eating monitoring influence index +_>Expressed as a weight factor, delta, corresponding to the set nutrient absorption impact index 0 A correction value expressed as the set body health index.
And extracting standard health indexes of the dairy cows corresponding to all the subregions in the database, comparing the standard health indexes with the body health indexes of the dairy cows corresponding to all the subregions, and if the body health index of the dairy cows corresponding to a certain subregion is smaller than the standard health index of the corresponding dairy cow, transmitting the serial number of the subregion to background staff.
According to the method, the edible amount and the edible duration of the dairy cow edible forage in each subregion and the fecal image of each defecation in the set time period are monitored, the body health index of the dairy cow is analyzed, if the body health index of the dairy cow corresponding to a certain region is smaller than the corresponding standard health index, the dairy cow can be further checked in time, and the method has timeliness in body health monitoring of the dairy cow.
And the database is used for storing standard forage images corresponding to the cows in each growth stage and standard images corresponding to the different objects, and storing standard health indexes corresponding to the cows in each subarea.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (3)
1. Feeding monitoring and management system based on cow breeding, characterized by comprising:
the dairy cow breeding area dividing module is used for dividing the dairy cow breeding area according to the same area to obtain each subarea in the dairy cow breeding area, and placing a plurality of dairy cows with the same growth stage in each subarea one by one;
the residual fodder monitoring and analyzing module is used for collecting residual fodder images of the corresponding food slots of all the subregions in the dairy cow breeding area, analyzing the residual fodder quality indexes of the corresponding food slots of all the subregions, monitoring the residual fodder quantity of the corresponding food slots of a subregion if the residual fodder quality index of the corresponding food slot of the subregion is larger than or equal to the residual fodder quality index of a preset food slot, and otherwise giving out early warning;
the forage feeding quantity control module is used for acquiring single standard feeding quantity of the corresponding trough of each subarea, analyzing the actual forage feeding quantity of the corresponding trough of each subarea and carrying out corresponding feeding;
the dairy cow forage monitoring and analyzing module is used for monitoring the related information of each forage consumption of the dairy cows corresponding to each subregion in a set time period, wherein the related information comprises the eating amount and the eating duration, and analyzing the eating monitoring influence index of the dairy cows corresponding to each subregion;
the dairy cow defecation monitoring and analyzing module is used for monitoring fecal images of the dairy cows corresponding to each subregion in each defecation within a set time period and analyzing nutrition absorption influence indexes of the dairy cows corresponding to each subregion;
the milk cow body health index evaluation module is used for analyzing the body health index of the milk cow corresponding to each subarea, and sending an early warning to a background staff if the body health index of the milk cow corresponding to a certain area is smaller than the corresponding standard health index;
the database is used for storing standard forage images corresponding to the dairy cows in each growth stage and standard images corresponding to the different objects, and storing standard health indexes corresponding to the dairy cows in each subarea;
the analysis of the residual forage quality indexes of the corresponding food grooves of each subregion specifically comprises the following steps:
extracting standard forage images corresponding to cows in each growth stage stored in a database, acquiring the growth stages corresponding to cows in each subarea, screening the standard forage images corresponding to cows in each subarea, and obtaining average forage lengths and average forage widths of all forage types in the standard forage images corresponding to cows in each subarea, wherein the average forage lengths and average forage widths are respectively recorded asI denotes the number of each sub-region, i=1, 2, … n, j denotes the number of the forage type, j=1, 2, … m;
according to the residual forage image of the corresponding trough of each subarea, the forage length and the forage width of each forage category in the residual forage image of the corresponding trough of each subarea are obtained and recorded asAnd then through the formulaCalculating to obtain each subarea pairResidual forage matching index of the feeding trough +.>E is expressed as a natural constant;
extracting standard images corresponding to various matters stored in a database, comparing the residual forage images of the food slots corresponding to each subarea with the standard images corresponding to various matters, analyzing the similarity of the residual forage images of the food slots corresponding to each subarea and the standard images corresponding to various matters, comparing the similarity with a preset similarity threshold, and if the similarity of the residual forage images of the food slots corresponding to a certain subarea and the standard images corresponding to a certain foreign matters is greater than or equal to the similarity threshold, marking the residual forage coincidence standard index of the food slots corresponding to the subarea asThe method comprises the steps of carrying out a first treatment on the surface of the If the similarity of the residual forage image of the trough corresponding to a certain subarea and the similarity of the standard image corresponding to each variant are smaller than the similarity threshold value, marking the residual forage meeting the standard index of the trough corresponding to the subarea as +.>Counting residual forage corresponding to the food groove in each subregion to meet standard index +.>I.e. +.>；
According to the residual forage matching index of the corresponding trough of each subarea and the standard index of the residual forage, calculating to obtain the comprehensive quality index of the residual forage of the corresponding trough of each subareaThe calculation formula is +.>；
The actual forage feeding amount of the corresponding trough of each sub-region is analyzed specifically as follows:
according to the residual forage quality index of the corresponding trough of each subarea, if the residual forage quality index of the corresponding trough of a certain subarea is larger than or equal to the residual forage quality index of a preset trough, monitoring the residual forage weight of the corresponding trough of the subarea through a weight sensor to obtain the residual forage quantity of the corresponding trough of the subarea;
comparing the residual forage amount of the corresponding trough of the subarea with the single standard feeding amount of the corresponding trough of the subarea, and if the residual forage amount of the corresponding trough of the subarea is smaller than the single standard feeding amount of the corresponding trough, making a difference between the single standard feeding amount of the corresponding trough of the subarea and the residual forage amount of the corresponding trough of the subarea to obtain the actual forage feeding amount of the corresponding trough of the subarea;
if the residual forage quality index of the corresponding trough of a certain subregion is smaller than the residual forage quality index of the preset trough, the serial number corresponding to the subregion is sent to a background staff, and the single standard feeding amount of the corresponding trough of the subregion is used as the actual forage feeding amount;
further analyzing the forage throwing time required by the corresponding trough of each subregion;
the specific analysis process for analyzing the eating monitoring influence indexes of the dairy cows corresponding to each subregion comprises the following steps:
acquiring edible videos of the dairy cows corresponding to each subregion in a set time period through a camera, so as to obtain edible duration of the forage for each time of the dairy cows corresponding to each subregion in the set time period;
according to the weight sensor, monitoring the residual amount of forage after each time of forage consumption of the dairy cows corresponding to each subregion in a set time period, and obtaining the eating amount of each time of forage consumed by the dairy cows corresponding to each subregion in the set time period;
according to the eating amount and the eating duration of each edible forage of the dairy cows corresponding to each subregion in the set time period, calculating the edible monitoring influence index of the dairy cows corresponding to each subregionWherein->The eating monitoring influence index of the dairy cow corresponding to the ith subarea is expressed, k is expressed as the number of times of eating the dairy cow in a set period, k=1, 2, … d,、/>respectively expressed as the eating time length and the eating amount of the forage for the kth eating of the dairy cows in the set time period in the ith sub-area, and the dairy cows are added with the forage>、/>Respectively expressed as a preset allowable error value of the eating amount and the eating duration,/for each of the food ingredients>、/>The eating monitoring influence index duty factor is respectively expressed as a preset eating amount and eating duration;
the analysis of the nutrition absorption influence indexes of the dairy cows corresponding to each subarea specifically comprises the following steps:
extracting fecal images of the dairy cows corresponding to each subregion for defecation in a set time period, and obtaining the volume and the shape of the dairy cows corresponding to each subregion for defecation in the set time period;
comparing the defecation shape of each dairy cow corresponding to each subregion in the set time period with the preset nutrition absorption weight factors corresponding to the fecal shape of each dairy cow, and screening the nutrition absorption weight factors corresponding to the defecation shape of each dairy cow corresponding to each subregion in the set time periodR is denoted as the number of bowel movements, r=1, 2, … u;
analyzing nutrition absorption influence index of dairy cows corresponding to each subareaWherein->The (th) defecation volume expressed as the (th) subregion corresponds to the (th) defecation volume of the cow>Expressed as a tolerance of an actual defecation amount of the preset dairy cow in a set period of time to the preset defecation amount,the fecal volume of the cow expressed as presets corresponds to the nutritional absorption weight factor,/-for a set period of time>The defecation volume conversion rate is expressed as the corresponding defecation volume conversion rate of the unit forage consumption of the preset dairy cows in a normal state;
the specific calculation process for analyzing the body health index of the dairy cows corresponding to each subregion comprises the following steps: wherein the method comprises the steps of The physical health index of the cow corresponding to the ith sub-area +.>Weight factor corresponding to the set eating monitoring influence index +_>Expressed as a set nutrient absorption shadowWeight factor corresponding to the response index, +.>A correction value expressed as a set physical health index;
and extracting standard health indexes of the dairy cows corresponding to all the subregions in the database, comparing the standard health indexes with the body health indexes of the dairy cows corresponding to all the subregions, and if the body health index of the dairy cows corresponding to a certain subregion is smaller than the standard health index of the corresponding dairy cow, transmitting the serial number of the subregion to background staff.
2. The dairy cow breeding feeding monitoring and management system according to claim 1, wherein: the specific mode for analyzing the similarity between the residual forage image of the food groove corresponding to each subarea and the standard image corresponding to each variant is as follows:
selecting each forage image of each forage type from the residual forage images of each subarea corresponding to the food slots, further removing the images of each forage in each forage type to obtain residual part images of each subarea corresponding to the food slots, dividing the residual part images of each subarea corresponding to the food slots to obtain residual part sub-images of each subarea corresponding to the food slots, comparing the residual part sub-images of each subarea corresponding to the food slots with standard images of each foreign matter to obtain the superposition area of the residual part sub-images of each subarea corresponding to the food slots and the standard images of each foreign matter，/>The remaining part of the sub-image number expressed as a trough, q=1, 2, … x, and the standard image number of the foreign matter is set to +.>Calculating the similarity of the residual forage image of the food groove corresponding to each subarea and the standard image corresponding to each variant>，/>Area expressed as p-th foreign matter standard image, is->And the deviation coefficient is expressed as the similarity between the preset food trough residual part sub-image and the foreign matter standard image.
3. The dairy cow breeding feeding monitoring and management system according to claim 1, wherein: the specific mode for analyzing the forage throwing time required by the corresponding trough of each subregion is as follows:
calculating the required forage throwing time of the corresponding trough of each subarea according to the obtained actual forage throwing amount of the corresponding trough of each subarea, and calculating a formulaWherein->Expressed as the forage throwing time required by the corresponding trough of the ith sub-area,the feeding amount of forage in unit time corresponding to the feed opening of the preset feeding pipeline is shown as +.>The actual forage feeding amount of the corresponding trough of the ith sub-area is shown. />
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