The invention provides an intelligent
dynamic monitoring method and
system for
livestock and poultry diseases, and the method comprises the steps: obtaining the historical behavior data of
livestock and poultry, carrying out the clustering and
numbering, constructing a feeding range
preemption model and an activity range model through the historical feeding range data, obtaining the real-time feeding range data, carrying out the range
preemption judgment, and generating a
preemption event report. The method comprises the following steps: acquiring real-
time activity range data, comparing the real-
time activity range data with historical activity range data to carry out abnormal judgment, generating an activity range
mutation report, generating a
health risk assessment matrix through a preemption event report and the activity range
mutation report, carrying out risk grade division on the health state of
livestock and poultry through a risk grade
library, and implementing a corresponding
response strategy. The
health risk assessment matrix is obtained through the feeding range and the activity range of the livestock and poultry, so that whether the livestock and poultry suffer from nutritional diseases and infectious diseases or not is judged, and the early recognition capacity and the
coping capacity of the livestock and poultry diseases are improved through an intelligent detection method of multi-
source data collection, behavior analysis and assessment.