The invention discloses a practical
training evaluation method and
system based on multi-
modal data fusion. The method comprises the following steps: firstly, constructing a practical training task topology based on a
knowledge graph, mapping elements such as knowledge points into nodes, and defining a relationship through directed edges; in response to task starting, dynamically deploying a multi-
modal data fusion agent pre-loaded with a targeted model and a rule; in the operation process, the agent synchronously collects and processes
original data from the
machine vision and sensor network in real time, and a standardized feature flow is generated; then, on-line space-
time correlation and reasoning are carried out on the multi-
modal features based on a fusion strategy, and a task scene understanding model is dynamically constructed and maintained; after the task is completed, packaging a
program code, a report and process abstract data exported by the model to form an enhanced practical training result
package; and finally, multi-dimensional automatic comparison is carried out by calling the rule base and the
case model, and an
evaluation result is generated. According to the invention, intelligent
perception and comprehensive evaluation of the whole practical training operation process are realized.