What fields does the distributed fiber das-tool involve?

　　Distributed optical fiber DAS (acoustic wave sensing system)

　　1. Definition and technical principles

　　DAS (Distributed Acoustic Sensing) is a distributed acoustic monitoring system based on optical fiber sensing technology.

　　Principle: Using an optical fiber as the sensing medium, by emitting a narrow pulse width, high-power light pulse (typical sampling rate 1-100kHz), the change of the backwards Rayleigh scattered signal is analyzed. External vibrations (such as sound waves) will cause SMall changes in the refractive index or length of the optical fiber, thereby changing the phase and intensity of the scattered light signal. The system detects these changes to achieve detection and localization of vibration events (accuracy ± 1-5 meters).

　　2. Core application scenarios

　　DAS technology is widely used in many fields.

　　Oil and gas pipeline monitoring: real-time detection of pipeline leaks, third-party construction, and other security threats.

　　Perimeter security: Replace traditional fence-type sensors to achieve long-distance intrusion monitoring without blind spots.

　　Structural health monitoring: used for vibration and deformation monitoring of bridges, buildings, railways, and other structures.

　　Seismic and geological exploration: monitoring underground micro-seismic activity to assist in the development of oil and gas resources.

　　CoMMunication cable maintenance: detect external cable damage or local failure.

　　3. Technical advantages

　　Wide coverage: a single optical fiber can monitor distances up to 50-100 kilometers.

　　High sensitivity: It can sense weak vibrations within 40 meters of the cable.

　　Anti-electromagnetic interference: Optical fiber transmission is not affected by the electromagnetic environment and is suitable for complex working conditions.

　　Real-time: Response time is as fast as 1 second, supporting rapid event warning.

　　Genomics Tool DAS Tool

　　1. Definition and function

　　DAS Tool (Dereplication, Aggregation, and Scoring Tool) It is an automated tool specifically designed for metagenomics to integrate the results of multiple binning algorithms (e.g. MetaBAT, MaxBin) to generate optimized, non-redundant genomic bins. Its core goal is to improve the accuracy and completeness of microbial genome reconstruction in metagenomic data.

　　2. Technical features

　　Multi-algorithm integration: Supports the integration of the output of multiple sub-box tools to integrate the advantages of each algorithm.

　　Automated process: from gene prediction to sub-box optimization, fully automated, reducing manual intervention.

　　Quality assessment: The quality of the bins is evaluated based on single-copy genes (SCGs) to ensure high completeness and low contamination.

　　Flexible configuration: Supports multiple search engines (e.g. DIAMOND, BLAST +) and parameter adjustments.

　　3. Application scenarios

　　Metagenomic data analytics: Extraction of microbial genomes from environmental samples (e.g., soil, water).

　　Environmental microbial research: revealing the diversity and function of microbial communities and assisting ecological assessment.

　　Genome assembly optimization: improve the quality of metagenomic assembly and support subsequent functional gene mining.

　　Summarize and distinguish

　　Distributed fiber optic DAS: a physical monitoring technology that relies on fiber optic hardware and system deployment for real-time acoustic/vibration monitoring.

　　Genomics DAS Tool: Bioinformatics software for metagenomic data analytics and microbial genome reconstruction.