Seismic Data Thresholding for Network Load Reduction
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Solution Overview
Problem
Residual seismic-resistant performance evaluation systems face challenges in managing large amounts of data during earthquakes, leading to increased network load and costs, especially when numerous seismographs are deployed, and require high reliability to operate under harsh conditions like power loss or network disruptions.
Innovation Solution
A system with seismographs equipped with seismic intensity sensors, A/D converters, storage, and CPUs that calculate seismic intensity data, set threshold values, and store data locally, transmitting only data exceeding the threshold to a server, reducing network load and enabling continuous data recording even during network disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all measurement data from numerous seismographs is continuously transmitted to the management server, then the residual seismic-resistant performance evaluation can be performed, but the network load and data transmission costs increase enormously
Solution Approach 1:
The patent extracts only the essential evaluation results (seismic intensity values and structural response data) from the raw measurement data at local terminals, transmitting only these processed results to the management server. This eliminates the need to transmit entire raw datasets while preserving the capability to perform residual seismic-resistant performance evaluation.
Solution Approach 2:
The local terminals perform preliminary data processing and evaluation calculations before transmission. By pre-calculating seismic intensity and structural response metrics at the source, the system prepares data in advance for efficient transmission and server processing, reducing the burden on the network and server.
2Measurement precision
If the sampling frequency of seismic intensity sensors is increased to capture detailed earthquake data, then the measurement precision improves, but the amount of data generated and stored increases significantly
Solution Approach 1:
The system extracts only the critical evaluation metrics (seismic intensity, structural response) from high-frequency raw data through local processing. This allows high sampling rates to be used for accurate measurement while only transmitting essential results, thereby maintaining measurement precision without proportionally increasing transmitted data volume.
Solution Approach 2:
The patent transforms raw sensor data into processed evaluation parameters through local computation. By changing the data representation from raw time-series measurements to derived seismic intensity and response metrics, the system reduces data volume while preserving measurement precision for evaluation purposes.
3Reliability
If seismographs are placed throughout a large structure to improve measurement coverage, then the evaluation comprehensiveness increases, but the number of data transmission points and network load increase
Solution Approach 1:
The system segments the data processing function between local terminals and the central server. Each terminal independently processes its local sensor data and transmits only results, dividing the overall data transmission task into smaller independent units. This maintains comprehensive evaluation across the structure while reducing total network load through distributed processing.
Solution Approach 2:
Each local terminal extracts and transmits only its relevant evaluation results rather than raw data. This approach allows comprehensive spatial coverage with multiple seismographs while minimizing network traffic by transmitting only essential processed information from each location.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces network load and communication costs, allowing for reliable and efficient data storage and evaluation of seismic-resistant performance, even during unprecedented disasters, by transmitting only necessary data and allowing for local data storage during network disruptions.
Implementation Method 1
a plurality of seismic intensity sensors such as accelerometers are placed in a civil engineering structure
Implementation Method 2
the measurement data necessary for the residual seismic-resistant performance evaluation system to determine the safety or danger of a structure is numerical data that is obtained by A/D conversion of measured values
Data Source
AI summary
A residual seismic-resistant performance evaluation system includes a seismograph including a seismic intensity sensor, a network interface, a storage, an A/D converter, a temporary storage means and a CPU; a data processing terminal for recording and processing measurement data; and a data processing server for evaluating residual seismic-resistant performance based on the measurement data. The system causes the data processing terminal to perform the steps below: a) calculating seismic intensity data based on the measurement data; b) setting a threshold value for the seismic intensity data; determining whether or not the seismic intensity data exceeds the threshold value; and d) transmitting the seismic intensity data exceeding the threshold value to the data processing server. The system causes the data processing server to perform steps below: g) requesting at least one of the seismograph and the data processing terminal to provide the measurement data; and h) receiving the measurement data transmitted according to the request.