Cloud-Connected Earthquake Warning Platform for Large Area Coverage
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Solution Overview
Problem
Existing earthquake early warning systems for large areas face challenges in providing real-time warnings due to limited bandwidth, high data transmission costs, and the inability to maintain functionality during emergencies like earthquakes or power outages.
Innovation Solution
A method and device that utilize a cloud-connected information platform to receive and transmit real-time seismic transverse wave feature prediction values from on-site earthquake early warning stations to small districts, ensuring immediate and effective dissemination of earthquake warnings across a large area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If regional earthquake early warning technology is used to achieve high prediction accuracy, then the accuracy of seismic parameters is improved, but the response time is reduced making it difficult to take immediate safety measures
Solution Approach 1:
The system divides the large area into multiple small blocks, each equipped with independent seismic sensing devices and host devices. This segmentation allows parallel processing of seismic data across multiple nodes, reducing the overall time required for detection and warning while maintaining accurate parameter measurement through distributed sensing.
Solution Approach 2:
The system pre-determines target apparatus for specific areas and pre-arranges backup response protocols. When seismic activity is detected, pre-configured warning information is immediately transmitted to predetermined targets without requiring real-time decision-making, thus preserving both accuracy and reducing response time.
2Area of stationary object
If a large area is covered with seismic sensing devices connected through cloud network, then the coverage area is improved, but the bandwidth and data transmission time are increased
Solution Approach 1:
The large area is divided into multiple small blocks with distributed host devices that perform local data processing. This segmentation reduces the amount of data that needs to be transmitted through the cloud network, as each host device can independently process and filter seismic data before transmission, thereby reducing bandwidth requirements and transmission time while maintaining wide coverage.
Solution Approach 2:
The system extracts and processes only the essential seismic data locally at each host device, transmitting only critical information through the cloud network rather than raw data from all sensing devices. This extraction approach reduces data transmission volume and time while preserving coverage area.
3Productivity
If real-time seismic data is transmitted through cloud network to host device, then the real-time warning capability is improved, but the system reliability is reduced due to dependency on network and power supply
Solution Approach 1:
The system pre-arranges backup response protocols and predetermined target apparatus before earthquakes occur. Host devices are pre-configured with warning transmission capabilities and backup power sources. When seismic activity is detected, the system immediately executes pre-planned protocols, maintaining real-time warning capability while ensuring reliability through advance preparation of backup mechanisms.
Solution Approach 2:
The system incorporates backup power supplies and pre-configured warning transmission mechanisms at each host device to cushion against network failures or power outages. This beforehand cushioning ensures that the real-time warning capability is maintained even when cloud network connectivity is interrupted, thereby improving system reliability.
4Loss of time
If on-site earthquake early warning stations are deployed in large districts, then the response time is improved, but the device complexity and cost are increased
Solution Approach 1:
The system segments the large area into multiple large districts, each with its own on-site earthquake early warning station. This segmentation enables localized real-time warning generation, significantly reducing response time for each district while distributing the system complexity across multiple independent, standardized nodes rather than one complex centralized system.
Solution Approach 2:
Each on-site earthquake early warning station is designed as a universal, multi-functional unit that can serve its local large district independently. These standardized units perform detection, processing, and warning transmission functions, reducing overall system complexity through replication of proven modular components rather than designing a uniquely complex centralized system.
Data Source
AI summary
An information platform for providing an earthquake early warning of a large area is disclosed. The large area includes a plurality of small districts, different sets of the plurality of small districts form different large districts according to geographical locations so as to make up the large area, and the information platform is both connected with a plurality of on-site earthquake early warning stations and the plurality of small districts through a cloud network. The plurality of on-site earthquake early warning stations are located in the large districts respectively, each of the plurality of on-site earthquake early warning stations is configured to obtain a real-time seismic longitudinal wave measurement data, obtain a real-time seismic transverse wave feature prediction value corresponding to the real-time seismic longitudinal wave measurement data, and transmit the real-time seismic transverse wave feature prediction value.