The invention, which relates to the technical field of equipment
simulation testing, discloses a
simulation evaluation method for
automatic testing equipment of an in-vehicle infotainment
system, and the method comprises the steps: collecting operation
test data, carrying out the recognition
processing through a deep
convolutional neural network model, obtaining test task data, constructing a test action sequence, mapping the test action sequence into a control instruction, and carrying out the
simulation evaluation of the in-vehicle infotainment
system. The control instruction is optimized and adjusted according to a preset
action rule base; driving the in-vehicle
automatic test equipment to execute the control instruction to complete the test operation, recording the operation
response time and interface state change data in the test process, calculating a movement track deviation value, calculating a test accuracy
score, and when the test accuracy
score is smaller than a preset threshold value, starting the in-vehicle
automatic test equipment; and if not, supplementing the optimization parameters to the preset
action rule base and triggering a new test. According to the invention, accurate control of the
test equipment is realized by adopting the TCP / IP communication protocol, and the
test strategy is continuously optimized by dynamically updating the preset
action rule base, so that the automatic
test efficiency of the vehicle
machine is improved.