Accuracy and indoor positioning the consumer market thinking

       Interior structure is characterized by complex, multipath signals significantly, small, but rather a high precision, and therefore the present situation: if the distance or angle measuring electromagnetic selected, and the private base station and terminal design, high cost, and barrier need to address the multipath problem, the industry for the user; if the selected distance or angle measuring inertia, and in view of the use of expensive equipment, can be acquired with high precision, for industrial users, if the selected distance or angle measuring inertia, only consider conventional apparatus, the general accuracy can be acquired, suitable for mass market secondary positioning; if the selected fingerprint is positioned, and only consider the general terminal, positioning a lower cost, high precision, multipath effects may be utilized, three or more points through the AP collection terminal RSSI (Received Signal Strength Indicator) value, and by doing pre-position fingerprint (indoor RBI) determine location. So it is necessary to maintain the fingerprint database, for the mass market.

From this figure, you can also see that the various technical accuracy and cost factors are taken into account, in addition to their line of start-up companies in the field of professional physical space navigation, should also look at the accumulation and use of the line of Big Data

1, can take advantage of the massive offline data, accurate modeling algorithms, thousands of portraits of labels, one hundred million data scene, at a depth of insight into user behavior online and offline, to build a comprehensive, accurate, multidimensional portrait of system users, to provide APP portrait rich user data and real-time scene recognition capabilities to help users understand the full range of APP.

2, the recent behavior has a certain timeliness of data active application, recently went to the scene and so on, the current location, open applications and other scenes of obvious marketing opportunities fleeting

All in all is: 1, real-time scene recognition store-level scene recognition accuracy, to help APP to provide users with the necessary period of use of the product location service, optimize the user experience; 2, rich scene of large data user portrait massive line, supplement users portraits dimension, insight into real demand; 3, the scene in which the service recommendations based on user preferences and scenarios to help APP to provide users with a more appropriate service at the right scene.

https://cloud.papakaka.com/flash/#/dashboard digit key to access a cloud positioning capability, the wheel made to avoid duplication.

 

 

 

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Origin blog.csdn.net/howell92/article/details/104921694