3results about How to "Realize data interoperability" patented technology

This invention provides a low-latency infusion sensing alarm module, system, and application control. Through innovative composite sensing technology, TDMA low-latency communication architecture, and end-edge-backend three-level linkage mechanism, it completely solves the pain points of existing technologies, realizes fully automatic unattended monitoring and accurate alarm of clinical infusion, ensures medical safety, and reduces the burden on nurses, patients, and caregivers throughout the entire process.

The invention discloses a real-time distributed actual battlefield scene simulation control system, and relates to the technical field of real-time distributed simulation, and the system comprises three core modules: 1, a distributed architecture construction module for constructing a deployment architecture combining a central node and an edge node, accessing a hardware terminal and formulating a unified data interaction specification, the system comprises a first module, a second module, a clock synchronization and load monitoring module, a task migration execution module and a third module, wherein the first module is used for guaranteeing node time consistency through a user-defined synchronization mechanism, collecting load data, calculating a dynamic association load value and setting a load threshold value in combination with a training scale; the migration cost is quantified, the task with the minimum migration cost is preferentially migrated, data transmission specifications and space-time consistency are ensured, actual combat training requirements of different scales are met, and system load balance, real-time response and scene high fidelity are achieved through the content of the method.

The invention relates to the technical field of production control, in particular to a mining instrument production line control system and method based on adaptive scheduling and multi-protocol fusion, and the method executed by the system comprises the steps: 1, triggering a production task according to an order; 2, analyzing a production task, disassembling the production task into a plurality of sub-tasks, distributing the sub-tasks to different stations to implement production, and monitoring the state of each station in real time; wherein in the production process, the production mode is adjusted in real time according to the order priority and the production state of each station. Through the adaptive task scheduling engine, the system can dynamically optimize the task allocation and execution sequence according to the real-time production state, and effectively cope with disturbances such as emergency order insertion and equipment faults.