A Data Acquisition System for Disaster Monitoring Points

Abstract

The invention discloses a data collecting system for a fire monitoring point. The system comprises a storage module, a data collecting module, a capacity detecting module, a data transmitting module and a control module. The data collecting module, the capacity detecting module, the data transmitting module and the control module are all electrically connected with the storage module. Cloud storage can be preferentially selected according to a real-time network, data collecting storage and usage are facilitated, a movable storage unit is selected preferentially, the system is convenient and rapid to use, and the collecting work efficiency of an administrator is improved; the collected data is stored into a built-in storage unit with multiple partitions, and balance between the read-write performance and the storage space utilization rate is ensured. Video files occupying the large space can be compressed and deleted, meanwhile, small files are integrated and compressed, space occupation is lowered while the data integrity is ensured, and the storage equipment utilization rate is increased.

Description

technical field [0001] The invention relates to the field of disaster data collection, in particular to a data collection system for disaster monitoring points. Background technique [0002] The province's geological and geographical environment is complex, and landslides, debris flows, ground subsidence, and ground subsidence are the main types of geological disasters in the province. Among them, landslides and mudslides are the main disasters that cause the loss of people's lives and properties and restrict economic and social development. They are also the main targets of geological disaster prevention and control. Therefore, it is necessary to set up disaster monitoring points to Collect geological data to provide data support for disaster prevention and control. [0003] Existing disaster monitoring points are usually set outdoors, and the weather conditions and location are relatively complicated. When the weather is extreme or the detection point is not easy to reach...

AI Technical Summary

Problems solved by technology

[0003] Existing disaster monitoring points are usually set outdoors, and the weather conditions and location are relatively complicated. When the weather is extreme or the detection point is not easy to reach, the administrator cannot reach the disaster monitoring point in time to obtain data, and the work is difficult, which leads to The work efficiency is low. When the local storage capacity is full, the important data cannot be stored, which will lead to data loss. However, due to the relatively large environmental factors, the wireless transmission is easy to cause problems such as file corruption during the transmission process, and the stability is relatively high. Poor, affecting transmission efficiency

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