CableVHub Big Data Platform
As an integrated data analysis and management tool, the CableVHub big data platform is dedicated to improving the operational and management levels of the cableway business. The platform deeply mines and integrates a variety of business data to provide scientific data support for safety management of cableway operations, satisfying the collaborative management needs of industry customers. It is capable of accurately grasping operational status and identifying potential problems, thus providing comprehensive and efficient business management solutions.
As an integrated data analysis and management tool, the CableVHub big data platform is dedicated to improving the operational and management levels of the cableway business. The platform deeply mines and integrates a variety of business data to provide scientific data support for safety management of cableway operations, satisfying the collaborative management needs of industry customers. It is capable of accurately grasping operational status and identifying potential problems, thus providing comprehensive and efficient business management solutions.
• In terms of operation, the platform is capable of simulating the cableway business scenario by constructing the digital twin scene, monitoring the cableway equipment in real time, meanwhile realizing the early warning function of the equipment operation state, thereby reducing the fault rate and improving the service life of the equipment.
• In terms of management, this cableway big data platform also has functions such as data filling and reporting, statistical analysis, etc. to help data statisticians complete their tasks more efficiently and provide accurate, timely and comprehensive data support to customers. The data linkage between each display screen will help customers analyze and use data efficiently, thereby eliminating security risks, optimizing resource allocation and improving operational efficiency.
•In terms of service, the platform intelligently analyzes the passenger flow dynamics, thus recommending the formulation of reasonable passenger flow queuing guidance strategies, and improving the tourist experience.
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