A distributed storage strategy based on weight ratio allocation of the number of host nodes was proposed to address the load imbalance problem of distributed storage and management of massive data in remote full life-cycle operation and monitoring of distributed electromechanical systems.The data flow structure of the distributed electromechanical system remote monitoring platform and its data characteristics were analyzed,and a Hash ring information mapping of electromechanical fluid data based on a consistent Hash algorithm was established,while virtual nodes were introduced to solve the Hash offset problem.Considering the performance difference of each host,virtual nodes were assigned based on weights to achieve load adaption,and a dynamic allocation mechanism of virtual nodes was established.The experimental results show that the storage strategy has good load balancing and is more effective than the consistent Hash dynamic allocation strategy which distributes the number of host nodes evenly,the number of dynamic allocations is effectively reduced,the system is enable to enter normal operation quickly and efficient data storage is achieved.