KEYWORDS: Power grids, Visualization, Geographic information systems, Video, Power supplies, Failure analysis, Statistical analysis, Information visualization, Solids, Data transmission
With the increasing requirements for power supply systems and the continuous improvement of emergency rescue command center system construction, the requirements for early warning emergency systems are constantly increasing. Improve strategic planning, decision-making, and operational command capabilities by using charts, maps, and other visualization tools. Use map tools to provide the emergency command center with comprehensive on-site intelligence, quickly analyze terrain, disaster conditions, and the location of available resources, and conduct combat planning and on-site deployment. Based on the Geographic Information System (GIS) and related technologies, data such as resource location and target information are visualized to optimize emergency resource scheduling and combat decisions. The location, movement trajectory and working status of combat units and command nodes are displayed through charts and maps, the visualization of command links and information exchange is established, and the efficiency of combat command is improved. The expansion of map combat capabilities combines advanced information technology with strategic needs, and continuously explores and innovates new methods and tools to improve command decision-making efficiency, optimize combat effectiveness and ensure combat safety.
This paper mainly proposes a message push method suitable for iOS mobile terminals. In this method, APNS is used for offline iOS terminal message push and MQTT is used for online iOS terminal message push. This method can reduce the number of messages sent through APNS. It can also solve the disability of storage-and-forward and the dissatisfaction of delivery rate under large amount of concurrent messages or over extent of message length. At the same time, different push strategies can be selected according to the online state of the target terminals. The experimental results about bandwidth and message length show that when the concurrency of pushing messages is large or network resources are insufficient, this strategy can dynamically balance the load or expand the bandwidth of network devices and servers to increase throughput. This strengthens the data processing capability for message push and improve resource utilization.
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