Positioning system for integrating machine learning positioning models and positioning method for the same

A positioning method for integrating machine learning positioning models, comprising:

• configuring a device under test (DUT) to obtain current WI-FI® fingerprint data of a current location;
• configuring a scalable backend subsystem to communicate with the DUT, wherein the scalable backend subsystem includes a web server, a database server and at least one processing unit;
• configuring the database server to store a plurality of records of machine learning positioning model data, configuration data and setting data, wherein the setting data defines a positioning inference path;
• configuring the at least one processing unit to execute the plurality of records of machine learning positioning model data to generate a plurality of machine learning positioning service modules, wherein the positioning inference path defines a fetching sequence of the plurality of machine learning positioning service modules, and the configuration data defines a deployment status of the plurality of machine learning positioning service modules;
• configuring a positioning inference module of a DUT service module to receive the current WI-FI® fingerprint data, and sequentially input the current WI-FI® fingerprint data to the plurality of machine learning positioning service modules according to the positioning inference path, to sequentially obtain a plurality of positioning inference results;
• and
• configuring the DUT service module to integrate the plurality of positioning inference results to generate a positioning result and use the positioning result as the current position of the DUT.