40results about How to "Realize intelligent supervision" patented technology

This invention discloses an integrated intelligent server rack system for data centers, relating to the field of data center technology. To address the problems existing in current technologies, the system specifically includes multiple server racks and an internal private network. Each server rack contains an intelligent control manager for monitoring its operational status, power supply equipment, cooling equipment, and multiple servers. The system has a two-tiered organizational structure consisting of an upper-layer framework and a lower-layer framework. Each server is connected to an external public network via a network cable and also to the internal private network via a network cable, managed and controlled by the intelligent control manager. The power supply equipment integrates a main power supply, a backup power supply, and a dual-input intelligent switching switch. By introducing an intelligent control manager and an internal private network, this invention achieves intelligent supervision, management, and control of all server racks and servers within the data center, improving the security, management efficiency, and operational efficiency of the data center.

The present application relates to the technical field of data processing, and especially relates to a kind of wisdom agricultural remote monitoring method based on Internet of Things, the method obtains the multidimensional monitoring data sequence of any crop and is divided into at least two monitoring data sequences, each monitoring data sequence is decomposed into at least two time scale subsequence, constructs the causal skeleton diagram under each time scale;According to the data correlation between the corresponding subsequence of any two monitoring data sequences in each causal skeleton diagram, obtain the total direction index of causal relationship;According to the data correlation between any two monitoring data sequences, obtain the intensity index of causal relationship, according to the total direction index of causal relationship and the intensity index of causal relationship, obtain the optimized causal relationship between any two monitoring data sequences;Optimized causal relationship between each two monitoring data sequences is used to build Bayesian network structure model, improve the credibility of causal relationship in Bayesian network structure model, realize crop intelligent monitoring.