摘要
我国饱受地震灾害困扰,其社会影响与造成的经济损失巨大。利用遥感数据对灾区进行动态震害评估,能够有效支持应急救援和恢复重建,可在一定程度上降低灾害损失。如何根据不同震害评估任务需求,动态演化遥感信息服务链,满足演化过程中的灵活性和高响应能力的需求,已成为智能化抗震救灾中的焦点问题。根据遥感信息服务链动态演化面临的实际问题,本文从任务功能需求、数据需求、质量需求三个方面进行服务链演化驱动分析,提出基于多维度语义关联模型的推理演算方法,实现不同驱动力条件下遥感信息服务链动态演化。结果表明,本方法的执行时间为7 min,满足相关行业标准小于10 min的演化要求。基于任务驱动的遥感信息服务链演化方法可以有效地支持震灾害后的评估任务。
Natural disasters inflict severe damage on social and economic development,posing a significant barrier to national economic progress.Among these,earthquakes stand out as one of the most unpredictable and sudden natural disasters,underscoring the critical importance of disaster assessment.Rapid and accurate assessment of such events can furnish essential technical support and a decision-making foundation for post-disaster emergency rescue,command decisions,and reconstruction efforts.Given the immature state of global research on earthquake occurrences,accurately predicting the timing of earthquakes remains a formidable challenge.Consequently,timely access to information regarding the condition of buildings,infrastructure,lifelines,farmland,and other vulnerable elements is imperative for effective emergency rescue and disaster relief operations.In recent years,remote sensing technology has demonstrated considerable potential in disaster prevention,mitigation,and relief efforts,emerging as a cornerstone of modernizing disaster prevention and mitigation in China.It provides robust support for disaster monitoring,evaluation,emergency response,and command decision-making.As global spatial infrastructure enters a new phase of systematic development and global service provision,the rapid advancement of new remote sensing satellites,such as the Gaofen(GF)satellite series,propels the transformation of China’s disaster remote sensing services towards business-oriented offerings.The evolution of service chains involves restructuring existing service chains or adjusting individual services based on dynamic environmental changes or evolving task requirements to meet new demands.The task-driven dynamic evolution of remote sensing information services for earthquake damage refers to the continuous adjustment and optimization of remote sensing information service chains in response to the requirements and changes of earthquake disaster assessment tasks.This approach focuses on dynamically adapting and enhancing service chains according to specific earthquake disaster assessment task requirements to address the constantly changing environment and task demands.Through task-driven methodologies,remote sensing information service chains can flexibly respond to various earthquake disaster assessment tasks and update or optimize service chains as needed to ensure more effective support and solutions during disaster response.Currently,existing spatial information service chains in the field of disaster emergency response predominantly rely on traditional“metadata+human expertise”service chain models.These models struggle to accommodate the dynamic semantics of seismic damage requirements,the richness of data semantics,the complexity of remote sensing information processing semantics,and the interrelationships between different semantics.Therefore,there is an urgent need to study remote sensing information service chain evolution technologies tailored for earthquake damage assessment,ensuring alignment with changing task requirements and compatibility among data,models,and algorithms.This article proposes a dynamic evolution method for service chains based on reasoning algorithms,taking into account the relationships between tasks,data,and services comprehensively.With an evolution time of less than 10 minutes,this method demonstrates its capability to provide timely,stable,and effective support for earthquake disaster assessment.
作者
杜志强
周天畅
甘巧燕
DU Zhiqiang;ZHOU Tianchang;GAN Qiaoyan(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;N.10 Research Institute,China Electronics Technology Group Corporation,Chengdu 610036,China)
出处
《时空信息学报》
2024年第5期666-679,共14页
JOURNAL OF SPATIO-TEMPORAL INFORMATION
基金
国家自然科学基金项目(41971347)。
关键词
地震灾害
震害评估
服务链
语义匹配
动态演化
遥感信息
任务驱动
earthquake disaster
damage assessment
service chain
semantic matching
dynamic evolution
remote sensing information
task driven
作者简介
杜志强,研究方向为虚拟地理环境和3D GIS相关理论方法与技术,以及综合减灾、3D城市建模等。E-mail:duzhiqiang@whu.edu,cn;通信作者:周天畅,研究方向为时空数据分析及可视化技术。E-mail:2019302130259@whu.edu.cn。
