initial  simple  data  visualization  to  today's  research 
platforms  that  provide  a  complete  virtual 
experimental environment, virtual reality technology 
has  been  widely  used  in  scientific  research.  For 
example, virtual reality has been applied to research 
in  the  fields of  medicine,  physics,  and  education  to 
help  scientists  simulate  complex  experimental 
conditions  and research  scenarios (Wei,2023). With 
the  development  of  platforms,  individual  major 
technology  platforms  have  emerged  internationally. 
For  example,  the  IBM  Virtual  Lab  and  Holodeck 
platforms  allow  researchers  to  manipulate  data  and 
validate results in a virtual world, further enhancing 
research efficiency. The IBM platforms are beginning 
to  use  cost-effective  AI  models  to  provide  unique 
storage solutions for different people and to protect 
data and identity security. In the Holodeck platform, 
well-known companies such as  Canon, Toyota, and 
Konicek  have  used  this  feature  for  office  work, 
bringing people from all over  the world together in 
the  same  virtual  space  without  having  to  leave  the 
office, breaking the distance barrier. Most academic 
institutions  and research companies have  developed 
virtual research platforms which allow researchers to 
conduct  experiments  without  the  constraints  of 
physical space. 
4  THE ROLE OF VIRTUAL 
REALITY TECHNOLOGY IN 
THE SIMULATION 
LABORATORY 
Virtual  Reality  (VR)  technology  has  significant 
application  value  in  simulation  laboratories. 
Simulation  laboratories  aim  to  simulate  various 
experimental  operations  in  the  real  world  through 
virtual environments (Peng,2023), especially in some 
high-risk  or  expensive  experiments,  virtual 
laboratories provide a safe and low-cost experimental 
platform.  In  simulation  labs,  VR  technology  can 
create  highly  realistic  experimental  environments, 
allowing  researchers  to  perform  experimental 
operations,  data  analysis,  and  result  derivation  in  a 
virtual environment. For example, VR simulation can 
be  applied  to  medical  surgery  training,  chemical 
experiment  simulation,  and  engineering  design. 
These are just a few of the more widely used uses for 
which simulation labs have evolved to date. 
At  the  same  time,  regarding  cost-effectiveness, 
compared  with  traditional  laboratories,  VR 
laboratories  reduce  the  need  for  equipment,  for 
example,  students  do  not  need  to  buy  expensive 
photographic  equipment  in  order  to  take  a 
photography class, and at the same time, students can 
experience  as  they  wish  the  rare  photographic 
equipment that they may not be able to use in real life, 
which greatly reduces the cost. 
And  this  way  must  also  avoid  the  risks  of  the 
traditional  way, especially  in the  use of high-power 
electrical appliances, reducing the possibility of fire, 
as  well  as  casualties,  providing  a  relatively  safe 
experimental platform 
5  CHANGES IN THE EDITING 
OF PHOTOGRAPHIC WORKS 
With the progress of digital technology, the editing of 
photographic  works  has  also  experienced  profound 
changes. From the traditional darkroom processing to 
digital  post-processing,  the  means  of  editing 
photographic works has been greatly expanded. 
Prior  to  digitization,  the  editing  of  photography 
was at a stage where traditional editing methods were 
used. Relying on darkroom technology, corrections, 
exposure  and  color  adjustments  were  made through 
chemicals  and  manual  operations.  With  the 
popularization  of  digital  cameras  and  the 
development of computer technology, the emergence 
of image processing software, such as Photoshop, has 
brought  the  editing  of  photographic  works  into  the 
stage of using digital editing tools, making the work 
more efficient and refined (Li, 2011). Today, AI 
technology  also  makes  automated  retouching 
possible.  Through  special  training,  so  that  the 
computer can see the pictures like a person know can 
perceive  them,  so  as  to  carry  out  the  extraction  of 
features, and finally instant beauty pictures and so on. 
(Wei, 2023). 
In  the  future,  image  editing  technology  is 
developing  towards  intelligence,  and  intelligent 
retouching  and  automated  processing  based  on 
machine  learning  will  greatly  improve  editing 
efficiency.  Through  virtual  reality  technology, 
photographers  are  able  to  edit  images  in  a  three-
dimensional  virtual  space  to  get  more  intuitive 
feedback  and  creative  inspiration.  Perhaps  with  the 
support of technological developments, it is possible 
to  better  help  the  photographer  to  accomplish 
secondary compositions in order to reach the goal and 
create new compositions. (Wei, 2023)