The invention discloses a DTP position-based
wireless fitness
activity scheduling system, which is characterized in that a matched activity area is generated for a user through historical fitness data of the user, the number of idle equipment in the matched activity area is acquired, and DTP position information of other users in the matched activity area and the historical fitness data are combined, so that the user experience is improved. Generating a selection coefficient for each matched activity area, sorting all the matched activity areas according to the selection coefficients, generating an area
list, judging whether the matched activity areas in the area
list support user activities or not based on the selection coefficients, and if all the matched activity areas in the area
list do not support the user activities, judging whether the matched activity areas in the area list support the user activities or not. If yes, generating a recommendation strategy for the user according to the historical fitness data of the user. According to the
scheduling system, real-time intelligent
activity scheduling based on users can be realized through combination of a
wireless technology and a DTP position, utilization of fitness space resources is optimized, and the
training effect and experience of participants are improved.