CN-121970718-A - Intelligent whole-house feeding cashmere goat breeding system and method

CN121970718ACN 121970718 ACN121970718 ACN 121970718ACN-121970718-A

Abstract

The invention relates to the technical field of livestock breeding intellectualization, and discloses an intelligent breeding system and method for full-house feeding cashmere goats. The method comprises the steps of collecting position coordinates and posture information of cashmere goats in a breeding house, collecting environment parameters of a plurality of position points, identifying a flock subset with local aggregation situation according to the position coordinates, synchronously obtaining environment parameters related to geographic positions of the subset, deducing expected behavior evolution trend of the flock subset under the action of the environment parameters by combining the posture information and the related environment parameters, judging whether global intervention is needed to be conducted on distribution of all-house cashmere goats according to the trend, calculating moving guiding priority of each cashmere goat when the intervention is judged to be needed, generating and executing a differentiated path guiding strategy for each goat based on the priority, and adjusting distribution states of the cashmere goats in the house. The method realizes the active prediction and personalized accurate guidance of the flock behavior, and improves the intelligent level of the cultivation management and animal welfare.

Inventors

LIU BIN
MENG KE
XIAO HONG
WU TIECHENG
YAN XINGANG
YI LEQI
ZHAO ZHIHONG
XIN HUI
WANG SHENGYUN
CHENG HAIRONG
WU LIJI

Assignees

鄂尔多斯市立新实业有限公司

Dates

Publication Date: 20260505
Application Date: 20260227

Claims (10)

1. An intelligent breeding method for full house feeding down goats is characterized by comprising the following steps: Collecting position coordinates and posture information of the cashmere goats in the breeding house, and collecting environmental parameters of a plurality of position points in the breeding house; Identifying a flock subset with a local aggregation situation according to the acquired position coordinates; Synchronously acquiring environmental parameters associated with the geographic positions of the flock subsets aiming at the identified flock subsets with local aggregation situation; deducing expected behavior evolution trend of the flock subset under the action of the associated environment parameters by combining the attitude information of the flock subset and the associated environment parameters synchronously acquired; Judging whether global intervention is required to be carried out on the distribution of all the cashmere goats in the breeding house according to the expected behavior evolution trend; when the global intervention is judged to be needed, calculating the movement guiding priority of each cashmere goat in the breeding house; generating a differentiated path guidance strategy for each cashmere goat based on the mobile guidance priority; and executing the differentiated path guiding strategy to adjust the distribution state of the cashmere goats in the breeding house.
2. The intelligent breeding method of full house feeding cashmere goats according to claim 1, wherein position coordinates and posture information of the cashmere goats are collected in a breeding house, and environmental parameters of a plurality of position points in the breeding house are collected, specifically comprising: Periodically capturing images through a visual sensor arranged at the top of the breeding house, and analyzing real-time position coordinates, head orientation and limb stretching degree posture information of each cashmere goat from the images; synchronously collecting environmental parameters of temperature, humidity, illuminance and harmful gas concentration of corresponding position points through sensor networks distributed on the ground of the cultivation house and different layers; And establishing a time stamp alignment mechanism to ensure that the acquired position coordinates and posture information of each cashmere goat have the same time reference with the environmental parameters of each position point.
3. The intelligent raising method for all-house feeding down goats according to claim 2, wherein the method is characterized in that the sheep flock subset with the local aggregation situation is identified according to the collected position coordinates, and specifically comprises the following steps: setting a distance judgment threshold; for each cashmere goat in the breeding house, calculating Euclidean distance between the position coordinates of the cashmere goat and the position coordinates of all other cashmere goats in the house; Screening all other cashmere goats with Euclidean distance smaller than the distance judgment threshold value from the current cashmere goats; If the number of the screened cashmere goats exceeds a set number threshold, defining the current cashmere goats and all other screened cashmere goats as a flock subset with local aggregation situation; and traversing all the cashmere goats in the breeding house, and completing the identification of all the flock subsets with local aggregation situation.
4. The intelligent raising method for all-house feeding down goats according to claim 3, wherein for the identified sheep flock subset with local aggregation situation, environment parameters related to the geographical position of the sheep flock subset are synchronously acquired, specifically: determining a geographic coverage of the identified subset of flocks; Searching the layout positions of all the sensor nodes in the geographic coverage area; Acquiring environmental parameters of temperature, humidity, illuminance and harmful gas concentration acquired by the sensor nodes after time stamps are aligned; and marking the acquired environment parameter set as the geographic position associated environment parameters of the flock subset.
5. The intelligent raising method for all-house feeding down goats according to claim 4, wherein the method is characterized in that the expected behavior evolution trend of the flock subset under the action of the associated environmental parameters is deduced by combining the attitude information of the flock subset and the associated environmental parameters obtained synchronously, and specifically comprises the following steps: analyzing the head orientation consistency degree and the change rate of limb stretching degree of the cashmere goats in the flock subset; carrying out association mapping on the change rate of the head orientation consistency degree and the limb stretching degree and the temperature change gradient, the humidity value, the illuminance intensity and the harmful gas concentration in the geographic position association environment parameters; outputting expected behavior categories of the flock subset under the combination of the current gesture and the environmental parameters by querying a pre-established behavior-environment mapping rule base, wherein the expected behavior categories comprise maintenance aggregation, slow diffusion, quick collision or migration to a specific area; defining the expected behavior category and possible evolution paths thereof as expected behavior evolution trend of the flock subset.
6. The intelligent raising method for all-house feeding cashmere goats according to claim 5, wherein according to the expected behavior evolution trend, whether global intervention on the distribution of all cashmere goats in the raising house is needed is determined, specifically: when the expected behavior evolution trend of any flock subset is rapid collision or the expected behavior evolution trend of more than half of flock subsets is migrated to the same specific area, judging that global intervention is required to be carried out on the distribution of all the cashmere goats in the breeding house; Otherwise, it is determined that global intervention is not required, and only local observation is performed on individual flocks.
7. The intelligent raising method for all-house feeding cashmere goats according to claim 6, wherein when it is determined that global intervention is required, the moving guiding priority of each cashmere goat in the raising house is calculated, and the specific process is as follows: For each cashmere goat, identifying all the flock subsets to which the goat belongs; Obtaining the expected behavior category of each flock subset to which the flock belongs; respectively giving different emergency coefficients for rapid collision, migration to a specific area, slow diffusion and maintenance aggregation of the expected behavior categories; calculating a movement guiding priority value of the cashmere goats, wherein the movement guiding priority value is equal to the sum of emergency coefficients of all flocks of the goats, and multiplying the average movement speed of the cashmere goats in the last time period; All the cashmere goats are arranged in descending order according to the values of the moving guide priority, and the higher the values are, the higher the moving guide priority is represented.
8. The intelligent raising method for all-house feeding down goats according to claim 7, wherein the generating of the differentiated path guidance strategy for each down goats is based on the moving guidance priority, specifically comprises: Planning a straight line or an approximate straight line path reaching a target area for the down producing goat subset with the highest moving guiding priority, wherein the target area is an open area with low current aggregation degree; Planning a segmented progressive path for a down goat subset with medium moving guiding priority, and setting a middle transition point in the path; planning a fine adjustment path for the down producing goat subset with the lowest moving guiding priority, so that the down producing goat subset makes small-range detour movement near the current position; each planned path needs to ensure that the planned paths do not collide with the preset paths of fixed facilities and other cashmere goats in the breeding house at the same time and space point.
9. The intelligent raising method for all-house feeding cashmere goats according to claim 8, wherein the differentiated path guidance strategy is executed to adjust the distribution state of the cashmere goats in the raising house, and specifically comprises: Converting the planned straight line or approximate straight line path, the sectional progressive path and the fine adjustment path into a specific control instruction sequence for an adjustable feeder, controllable light, a directional sound device and an automatic entrance guard in the breeding house; according to the sequence of the moving guiding priority from high to low, the control of the adjustable feeder, the controllable lamplight, the directional sound device and the automatic access control is started in a time-sharing and delay mode; In the execution process, continuously monitoring the deviation between the actual position of the down goat and the planned path, if the deviation exceeds the tolerance, triggering a real-time correction flow of the down goat path guiding strategy, and updating a subsequent control instruction sequence.
10. An intelligent whole house-fed cashmere goat breeding system comprising a memory, a processor and a computer program stored in the memory and running on the processor, characterized in that the processor, when executing the computer program, realizes the steps of the intelligent whole house-fed cashmere goat breeding method according to any one of the preceding claims 1 to 9.

Description

Intelligent whole-house feeding cashmere goat breeding system and method Technical Field The invention relates to the technical field of livestock breeding intellectualization, in particular to an intelligent breeding system and method for full-house feeding cashmere goats. Background In the whole house feeding goat breeding mode, abnormal aggregation of sheep is often an early sign of environmental discomfort, potential disease or stress behavior. Existing farming management techniques typically rely on regular manual inspection or simple video monitoring to discover flock aggregation, which has the drawbacks of relying on manual experience, discovery hysteresis, and difficulty in directly correlating observed flock behavior with specific, real-time local environmental data. The environment monitoring system and the behavior observation system are often operated independently, and a manager cannot accurately know which environment parameter of which specific position possibly causes the behavior at the initial stage of the flock aggregation, so that an intervention decision lacks accurate data support, and the best prevention opportunity is missed. When the flock is found to have bad aggregation, the conventional intervention method mostly adopts unified driving or utilizes fixed acousto-optic equipment to carry out full-field warning. The method is lack of pertinence, and has the defects that the method is easy to cause unnecessary surprise on whole sheep and possibly cause larger stress reaction, meanwhile, the state difference of sheep individuals in an aggregation event is not distinguished, sheep flocks cannot be efficiently and orderly guided to be dispersed, the intervention process is extensive and the effect is unstable, the environment inducement for aggregation can not be fundamentally relieved, and the crowding of local areas is even aggravated. The breeding management needs an intelligent technology capable of prejudging the behavior trend of flocks in advance and implementing accurate and flexible guidance based on individual differences. Disclosure of Invention The invention aims to provide an intelligent whole house feeding cashmere goat breeding system and method, which are used for solving the problems in the background technology. In order to achieve the purpose, the invention provides an intelligent breeding method for all-house feeding down goats, which comprises the following steps: Collecting position coordinates and posture information of the cashmere goats in the breeding house, and collecting environmental parameters of a plurality of position points in the breeding house; Identifying a flock subset with a local aggregation situation according to the acquired position coordinates; Synchronously acquiring environmental parameters associated with the geographic positions of the flock subsets aiming at the identified flock subsets with local aggregation situation; deducing expected behavior evolution trend of the flock subset under the action of the associated environment parameters by combining the attitude information of the flock subset and the associated environment parameters synchronously acquired; Judging whether global intervention is required to be carried out on the distribution of all the cashmere goats in the breeding house according to the expected behavior evolution trend; when the global intervention is judged to be needed, calculating the movement guiding priority of each cashmere goat in the breeding house; generating a differentiated path guidance strategy for each cashmere goat based on the mobile guidance priority; and executing the differentiated path guiding strategy to adjust the distribution state of the cashmere goats in the breeding house. Preferably, position coordinates and posture information of the cashmere goats are collected in the breeding house, and environmental parameters of a plurality of position points in the breeding house are collected, and the method specifically comprises the following steps: Periodically capturing images through a visual sensor arranged at the top of the breeding house, and analyzing real-time position coordinates, head orientation and limb stretching degree posture information of each cashmere goat from the images; synchronously collecting environmental parameters of temperature, humidity, illuminance and harmful gas concentration of corresponding position points through sensor networks distributed on the ground of the cultivation house and different layers; And establishing a time stamp alignment mechanism to ensure that the acquired position coordinates and posture information of each cashmere goat have the same time reference with the environmental parameters of each position point. Preferably, the method for identifying the flock subset with the local aggregation situation according to the acquired position coordinates specifically includes: setting a distance judgment threshold; for each cashmere goat in the breeding