Industrial Device Association Management for Optimized Resource Allocation

A system and method for optimizing resource allocation in industrial facilities, logistics, and cloud computing by leveraging association management technology to connect devices, vehicles, and virtual machines based on predefined goals and schedules.

The original patent, 'Medical device management using associations,' addressed the complexity of delivering fluid-based drugs in a hospital setting. However, this technology has broader applications in other industries, where optimizing resource allocation and reducing energy consumption are critical. The new inventive concept solves the problem of inefficient resource allocation by applying association management principles to industrial facilities, logistics, and cloud computing.

The system comprises a network connecting a plurality of industrial devices, transportation vehicles, or virtual machines, and an association management resource configured to receive input associating devices, vehicles, or virtual machines based on predefined goals, such as energy consumption, maintenance schedules, or delivery routes. The method involves receiving input over a network, associating devices, vehicles, or virtual machines, and initiating display of relevant information or control of associated devices. This enables optimized resource allocation, reduced energy consumption, and predictive maintenance in various industries.

The new inventive concept's novelty lies in its application of association management technology to entirely new industries, solving distinct problems and providing innovative solutions for industrial facilities, logistics, and cloud computing. The inventive step is the recognition that association management principles can be leveraged to optimize resource allocation and reduce energy consumption in these industries.

Alternative embodiments may include applying association management technology to other industries, such as agriculture, construction, or manufacturing, or using different types of devices, vehicles, or virtual machines. Variations may involve different association management algorithms, data analytics tools, or user interfaces to optimize resource allocation and energy consumption.

The inventive concept has significant commercial potential in various industries, including industrial facilities, logistics, and cloud computing, where optimized resource allocation and reduced energy consumption can lead to cost savings, increased efficiency, and environmental benefits. The target market includes companies operating in these industries, as well as technology providers and system integrators seeking to offer innovative solutions to their customers.