CN-121998247-A - Bee breeding health state analysis and optimization management method based on artificial intelligence

CN121998247ACN 121998247 ACN121998247 ACN 121998247ACN-121998247-A

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a bee breeding health state analysis and optimization management method based on artificial intelligence. The method comprises the steps of analyzing multi-dimensional sensing characteristic data of a bee area through multi-source monitoring sensing data of a target bee area, analyzing combined characteristic data of a bee behavior heterogeneous event based on the multi-dimensional sensing characteristic data of the bee area, analyzing evaluation data of the health state of bee culture through the combined characteristic data of the bee behavior heterogeneous event, carrying out relevant characteristic analysis of health states and environment indexes under different culture behaviors based on the multi-dimensional sensing characteristic data of the bee area and the evaluation data of the health state of the bee culture, generating relevant characteristic data of the health state of the bee culture and environment, and designing an intelligent bee optimal culture management strategy through the relevant characteristic data of the health state of the bee culture and the environment. The invention realizes the efficient analysis of the bee breeding health state and the intelligent breeding optimization management.

Inventors

FU YANFANG
LI YUWEN
ZHANG YANLING
PANG XUELIANG
NIE BIN
LV NA
ZHANG LANFENG
MA HUIZHONG
SU XIAOMEI
BAO QING

Assignees

河北省畜牧总站(河北省奶源工作总站)

Dates

Publication Date: 20260508
Application Date: 20260122

Claims (10)

1. The artificial intelligence-based bee breeding health state analysis and optimization management method is characterized by comprising the following steps of: The method comprises the steps of S1, carrying out multi-source monitoring and sensing processing of a target bee area by utilizing a multi-source sensor to generate multi-source monitoring and sensing data of the target bee area; S2, carrying out heterogeneous event combination characteristic analysis on the multidimensional sensing characteristic data of the bee area to generate heterogeneous event combination characteristic data of the bee behavior; s3, carrying out bee culture health state evaluation processing on the combined characteristic data of the bee behavior heterogeneous events to generate bee culture health state evaluation data; S4, carrying out relevant feature analysis on health states and environment indexes under different breeding behaviors based on the multidimensional sensing characteristic data of the bee area and the bee breeding health state evaluation data to generate bee breeding health state-environment relevant feature data; and S5, designing an intelligent bee optimal cultivation management strategy according to the bee cultivation health state-environment related characteristic data.
2. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 1, wherein the target bee area multisource monitoring sensing data in step S1 comprises bee behavior sensing data and bee area environment data, the bee behavior sensing data comprises bee flight image data, bee monitoring vibration signals and bee monitoring voiceprint signals, and the bee area environment data comprises area environment temperature and humidity data and area environment gas component data.
3. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 1, wherein the step S1 comprises the steps of: Step S11, designing multi-source sensor topology configuration data; Step S12, performing multi-source sensor topology configuration operation on the multi-source sensor by utilizing the multi-source sensor topology configuration data, and performing bee multi-source monitoring sensing processing on the target bee area by utilizing the configured multi-source sensor to generate multi-source monitoring sensing data of the target bee area; step S13, performing data consistency check and adjustment processing on the multisource monitoring and sensing data of the target bee area to generate multisource monitoring and sensing data of the standard target bee area; Step S14, carrying out data time sequence and space calibration processing on the multi-source monitoring and sensing data of the standard target bee area to generate multi-source monitoring and sensing data of the space-time target bee area; and S15, performing multi-dimensional hierarchical characteristic division processing of target bee area sensing monitoring on the multi-source sensing data of the time space target bee area to generate multi-dimensional sensing characteristic data of the bee area.
4. The artificial intelligence based bee keeping health analysis and optimization management method according to claim 3, wherein the step S11 comprises the steps of: analyzing the bee activity association data of the target bee area to generate bee activity association data, wherein the bee activity association data comprises bee activity beehive structure data and bee activity range data; And analyzing the bee activity distribution characteristics according to the bee activity association data, generating bee activity distribution characteristic data, and designing multi-source sensor topology configuration data according to the bee activity distribution characteristic data.
5. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 1, wherein the step S2 comprises the steps of: s21, extracting a bee behavior sub-domain mode according to the multidimensional sensing characteristic data of the bee area, and generating bee behavior sub-domain mode data; S22, performing bee behavior multi-mode clustering feature analysis on the bee behavior sub-domain modal data to generate bee behavior multi-mode clustering feature data, and performing bee behavior mode analysis according to the bee behavior multi-mode clustering feature data to generate bee behavior mode data; s23, analyzing bee behavior event data of the bee behavior subdomain mode data to generate bee behavior event data; S24, carrying out event combination differential analysis on the bee behavior event data through the bee behavior pattern data to generate bee behavior event combination differential data; And S25, carrying out heterogeneous event combination characteristic analysis on the bee behaviors according to the bee behavior event combination difference data to generate bee behavior heterogeneous event combination characteristic data.
6. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 5, wherein the step S23 comprises the steps of: S231, carrying out bee behavior multi-mode time sequence characteristic analysis according to the bee behavior sub-domain modal data, generating bee behavior multi-mode time sequence characteristic data, and designing a bee behavior event dynamic time sequence window according to the bee behavior multi-mode time sequence characteristic data; s232, carrying out honeybee behavior mode space feature analysis on honeybee behavior sub-domain mode data to generate honeybee behavior mode space feature data; and S233, detecting the bee behavior event of the spatial feature of the bee behavior modal spatial feature data by utilizing the dynamic time sequence window of the bee behavior event to generate the bee behavior event data.
7. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 1, wherein the step S3 comprises the steps of: s31, carrying out bee culture health state association characteristic analysis according to the bee behavior heterogeneous event combination characteristic data to generate bee culture health state association characteristic data; S32, analyzing basic activity characteristic data of bees and operation behavior characteristic data of bees according to the associated characteristic data of the bee culture health state; Step S33, analyzing the bee behavior evolution trend of the bee basic activity characteristic data and the bee operation behavior characteristic data to generate bee behavior evolution trend data; Step S34, acquiring historical bee health state evaluation data; Step 35, designing a multi-level discrimination matrix relation of the bee cultivation health state to the basic activity characteristic data of bees, the operation behavior characteristic data of bees and the evolution trend data of bees according to the historical bee health state evaluation data, and generating a multi-level discrimination matrix of the bee cultivation health state; and S36, carrying out honeybee cultivation health state evaluation processing on the honeybee behavioral heterogeneous event combination characteristic data according to the honeybee cultivation health state multilevel discrimination matrix to generate honeybee cultivation health state evaluation data.
8. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 1, wherein the step S4 comprises the steps of: S41, carrying out bee environment distribution characteristic analysis according to the multidimensional sensing characteristic data of the bee area to generate bee environment distribution characteristic data; Step S42, carrying out cultivation health state and environment association processing on the bee cultivation health state evaluation data and the bee environment distribution characteristic data to generate bee cultivation health state-environment association data; S43, carrying out the health state intervention feature analysis of the bee breeding behavior and the environmental indexes according to the bee breeding health state-environment association data to generate health state intervention feature data; Step S44, carrying out data segmentation processing of culture behavior conditioning and environmental index difference on the health status intervention characteristic data to generate culture behavior conditioning-environmental difference segmentation data; Step S45, carrying out environmental impact characteristic analysis of the cultivation health state based on cultivation behavior conditioning-environment difference segmentation data and bee cultivation health state-environment association data, and generating cultivation health state environmental impact characteristic data; And S46, carrying out relevant feature analysis on the health state and the environmental index under different cultivation behaviors according to the cultivation health state environment influence feature data, and generating the bee cultivation health state-environment relevant feature data.
9. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 8, wherein the step S45 comprises the steps of: And carrying out environmental index difference culture health state gradient change analysis on the bee culture health state-environment related data through culture behavior conditioning-environment difference segmentation data to generate environment difference-culture health state gradient change data, and carrying out culture health state environmental influence characteristic analysis on the environment difference-culture health state gradient change data to generate culture health state environmental influence characteristic data.
10. The artificial intelligence based bee breeding health status analysis and optimization management method according to claim 8, wherein the step S5 comprises the steps of: s51, analyzing adjustable breeding parameters of bees according to the health status intervention characteristic data to generate adjustable breeding parameter data of bees; Step S52, optimizing space design of the bee culture health state is carried out on the bee culture health state evaluation data through the bee culture health state-environment related characteristic data, bee culture health state optimizing space data are generated, global search optimizing iterative processing of the bee culture health state is carried out on the bee culture health state optimizing space data, and optimized bee culture health state data are generated; and step S53, designing an intelligent management strategy for optimizing the bee cultivation based on the optimized bee cultivation health state data and the adjustable bee cultivation parameter data.

Description

Bee breeding health state analysis and optimization management method based on artificial intelligence Technical Field The invention relates to the technical field of artificial intelligence, in particular to a bee breeding health state analysis and optimization management method based on artificial intelligence. Background Currently, along with the upgrading development of modern agriculture industry, bee cultivation is an important component of ecological agriculture, and the industrial scale and the intensification degree are continuously improved. The health state of bee culture directly determines the survival efficiency, the product output quality and the pollination service capability of the bee colony, and the health of the bee colony is closely related to the culture environment and the behavior characteristics of bees, so that accurate health monitoring and scientific management optimization become core keys for improving the culture benefit. In an actual cultivation scene, the health of the bee colony can be obviously influenced by the threat of diseases and insect pests, environmental stress and cultivation behavior difference of bees in different regions, different seasons and different cultivation modes. However, the existing bee breeding health state analysis technology and optimization management technology have fragmented monitoring means, lack of system integration of multi-source perception data, cannot realize collaborative analysis of bee behavior characteristics and breeding environment parameters, stay in simple appearance judgment for analysis of bee behaviors, do not deeply mine combination characteristics and evolution rules of behavior events, are difficult to accurately identify early health abnormal signals, do not establish quantitative association models between bee health states, environment factors and breeding behaviors, lack scientific basis for health assessment, cannot adapt to individual requirements of different bee groups, lack of intelligent data analysis and strategy generation mechanisms, and are difficult to realize pre-judgment of health risks and dynamic optimization of breeding management. Disclosure of Invention Based on the above, the invention provides an artificial intelligence based bee breeding health state analysis and optimization management method to solve at least one of the above technical problems. In order to achieve the above purpose, the artificial intelligence-based bee breeding health state analysis and optimization management method comprises the following steps: The method comprises the steps of S1, carrying out multi-source monitoring and sensing processing of a target bee area by utilizing a multi-source sensor to generate multi-source monitoring and sensing data of the target bee area; S2, carrying out heterogeneous event combination characteristic analysis on the multidimensional sensing characteristic data of the bee area to generate heterogeneous event combination characteristic data of the bee behavior; s3, carrying out bee culture health state evaluation processing on the combined characteristic data of the bee behavior heterogeneous events to generate bee culture health state evaluation data; S4, carrying out relevant feature analysis on health states and environment indexes under different breeding behaviors based on the multidimensional sensing characteristic data of the bee area and the bee breeding health state evaluation data to generate bee breeding health state-environment relevant feature data; and S5, designing an intelligent bee optimal cultivation management strategy according to the bee cultivation health state-environment related characteristic data. Further, the target bee area multisource monitoring sensing data in step S1 includes bee behavior sensing data and bee area environment data, the bee behavior sensing data includes bee flight image data, bee monitoring vibration signals and bee monitoring voiceprint signals, and the bee area environment data includes area environment temperature and humidity data and area environment gas component data. Further, step S1 includes the steps of: Step S11, designing multi-source sensor topology configuration data; Step S12, performing multi-source sensor topology configuration operation on the multi-source sensor by utilizing the multi-source sensor topology configuration data, and performing bee multi-source monitoring sensing processing on the target bee area by utilizing the configured multi-source sensor to generate multi-source monitoring sensing data of the target bee area; step S13, performing data consistency check and adjustment processing on the multisource monitoring and sensing data of the target bee area to generate multisource monitoring and sensing data of the standard target bee area; Step S14, carrying out data time sequence and space calibration processing on the multi-source monitoring and sensing data of the standard target bee area to generate multi-source m