Location Data Fusion Platform (LDFP)
The Location Date Fusion Platform (i-LDFP) is committed to creating a comprehensive of location data solutions for enterprises, through diversified location data collection and fusion computing to eliminate location data information islands. The platform provides standard open location data service API, which can be connected to the data center or business system. Combined with the corresponding BI system, it provides data support for location intelligence (LI) and helps enterprises make intelligent decisions.
Platform Introduction
The platform is integrated with RTLS, BD, GIS, IoT, BI, SaaS+ and other technologies. Through the core polymorphic comprehensive locating technology and standardized location fusion computing engine, user can build stable and reliable applications of LBS. After nearly 10 years of indoor positioning customers and market test and accumulation
Our customers have reached 500+ and carried out with 2000+ application cases, it has formed a platform architecture system with four centers as its core.
Multi-objects Real-time Locating
The IoT positioning technology is used to track the locations of objects (such as personnel, equipment, tools, materials, pallets, forklifts, etc.) in the manufacturing process in real time. Through the interaction between location data and business scenarios, the data value is enabled to help enterprises improve management efficiency.
Multi-locating Technology Integration
The IoT positioning technology is used to track the locations of objects (such as personnel, equipment, tools, materials, pallets, forklifts, etc.) in the manufacturing process in real time. Through the interaction between location data and business scenarios, the data value is enabled to help enterprises improve management efficiency.
Historical Trajectory Analysis
Through the Location Data Fusion Platform, managers can view the historical trajectory data of personnel in a certain period. It can enhance personnel post supervision and help improve personnel management efficiency. In addition, the historical trajectory plays a very good auxiliary role in the traceability and accountability when the abnormal situation occurs.
Heat Map Analysis
In the smart manufacturing scenario, the location data of personnel or materials are collected and analyzed through the core intelligent algorithm of the Location Data Fusion Platform, and presented as the whole area dynamic heat map. It can visually show managers the intensity of people or materials in real time or over a certain period of time, so as to optimize resource allocation, improve operation efficiency, support decision making, optimize enterprise management.
WIP Tracking Management
In discrete manufacturing scenario, the diversity of WIP flow methods, the lack of process data and the difficult tracing of process quality leads to low production efficiency.
The data collection location tracking of WIP through IoT locating technology helps improve the on-side space utilization and the efficiency and accuracy of WIP flow,and helps enterprise reduce cost and improve efficiency.