A big data platform for earthquake business data fusion

Abstract

The present invention discloses a big data platform for fusion of earthquake business data, comprising an earthquake data opening and query system, a big data database system, a resource virtualization management system, an information integration and summary system and an earthquake information acquisition system. The information integration and summary system is used to receive information transmitted by the earthquake information acquisition system, and the resource virtualization management system is used to receive information transmitted by the information integration and summary system. By adding a new step, namely the resource virtualization management system, before the earthquake business data fusion big data platform performs earthquake information aggregation and storage, the resource virtualization management system can perform secondary sorting on the earthquake information, and after the secondary sorting, the earthquake information is transmitted to the big data database system for storage, so that when the earthquake information in the big data database system is queried through the earthquake data opening and query system, no information confusion and no ambiguity in the query keywords will occur.

Description

Technical Field

[0001] The present invention belongs to the technical field related to data fusion, and in particular relates to a seismic business data fusion big data platform. Background Art

[0002] Data fusion is the process of combining, correlating, and merging data and information from multiple sensor sources to obtain more accurate position and identity estimates, thereby enabling real-time and complete evaluation of battlefield situations, threats, and their importance. Seismic data processing is the process of obtaining information about underground geological structures and stratum properties from raw data collected by petroleum geophysical computers and corresponding seismic data processing systems using different field seismic exploration methods. The purpose is to perform various processing on seismic data to improve the signal-to-noise ratio, resolution, and fidelity of reflected wave data for interpretation. It includes three major technologies: seismic deconvolution, stacking, and migration imaging. Big data services are various data services that support institutions or individuals in the collection, transmission, storage, processing (including calculation, analysis, visualization, etc.), exchange, and destruction of massive, heterogeneous, and rapidly changing data through an underlying scalable big data platform and various upper-level big data applications, covering activities related to the data life cycle.

[0003] The existing earthquake business data fusion big data platform technology has the following problems: when integrating earthquake information, the existing earthquake business data fusion big data platform first needs to collect earthquake information through multiple channels, and the collected earthquake information will be transmitted to the information integration and summary system for integration and summary, and the earthquake information after integration and summary can be transmitted to the big data database system for storage. In the process of integrating, summarizing and storing the earthquake information, the information integration and summary system only classifies and organizes the collected earthquake information on a large scale, which makes it easy for the earthquake information stored in the big data database system to be classified and more messy, and the classified earthquake information is also more vague. In this way, when retrieving the earthquake information stored in the big data database system, it is easy to have information confusion, information retrieval errors and vague keyword searches. Summary of the Invention

[0004] The purpose of the present invention is to provide a big data platform for the fusion of earthquake business data to solve the problem raised in the above-mentioned background technology that in the process of integrating, summarizing and storing earthquake information, the information integration and summary system only classifies and organizes the collected earthquake information on a large scale, which easily makes the earthquake information stored in the big data database system more messy after classification, and the classified earthquake information is also more vague. In this way, when retrieving the earthquake information stored in the big data database system, it is easy to cause information confusion, information retrieval errors and vague keyword searches.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a seismic business data fusion big data platform, including a seismic data opening and query system, a big data database system, a resource virtualization management system, an information integration and summary system and a seismic information acquisition system, the information integration and summary system is used to receive information transmitted by the seismic information acquisition system, the resource virtualization management system is used to receive information transmitted by the information integration and summary system, the big data database system is used to receive information transmitted by the resource virtualization management system, the seismic data opening and query system is used to receive information transmitted by the big data database system, the resource virtualization management system includes a resource scheduling module, a resource allocation module, a resource integration module and a resource management module, the resource scheduling module, the resource allocation module, the resource integration module and the resource management module respectively schedule, allocate, secondary integrate and secondary manage the seismic information received in the resource virtualization management system, the resource scheduling module, the resource allocation module, the resource integration module and the resource management module schedule, allocate, secondary integrate and secondary manage the seismic information and then classify and store it in the big data database system.

[0006] Preferably, the earthquake information acquisition system collects earthquake information through multiple platforms, and the platforms for collecting earthquake information by the earthquake information acquisition system are mainly earthquake new media platforms, earthquake information public service platforms, industry service platforms and professional site monitoring platforms.

[0007] Preferably, the earthquake new media platform is mainly used to collect earthquake information collected by Baidu Maps, Amap and various mobile phone APPs, the earthquake information public service platform is mainly used to collect earthquake information collected by Internet platforms such as Weibo, express clients and cloud websites, the industry service platform is mainly used to collect earthquake information collected by the National Emergency Broadcasting, the Ministry of Water Resources, the Ministry of Transport and the Ministry of Emergency Management, and the professional site monitoring platform is mainly used to collect earthquake information collected by the national earthquake department.

[0008] Preferably, the information integration and summary system includes a basic geographic data processing module, a geological fault data processing module, an earthquake monitoring network data processing module, an earthquake satellite data processing module, an earthquake basic data processing module and an earthquake emergency core data processing module. The basic geographic data processing module, the geological fault data processing module, the earthquake monitoring network data processing module, the earthquake satellite data processing module, the earthquake basic data processing module and the earthquake emergency core data processing module classify, integrate and summarize the earthquake information transmitted from the earthquake information acquisition system.

[0009] Preferably, the big data database system is used to store the seismic information that has been collected and finally integrated. The big data database system is mainly divided into two storage methods: computer storage and cloud storage. The two storage methods are carried out simultaneously and the storage content is the same.

[0010] Compared with the existing technology, the present invention provides a seismic business data fusion big data platform with the following beneficial effects:

[0011] The present invention adds a new step to the earthquake business data fusion big data platform before the earthquake information is aggregated and stored. The new step is a resource virtualization management system. After the earthquake information collected from multiple channels is aggregated through the information integration and aggregation system, it needs to be transmitted to the new resource virtualization management system. The earthquake information is secondary sorted by the new resource virtualization management system, and after the secondary sorting of the earthquake information is completed, it is transmitted to the big data database system for aggregation and storage. The secondary sorting of the earthquake information transmitted from the information integration and aggregation system to the resource virtualization management system can classify, summarize and organize the cumbersome earthquake information collected, so that the information stored in the big data database can be sorted, summarized and organized. The earthquake information in the database system is reasonably classified and stored, so that when the earthquake information stored in the big data database system is queried through the earthquake data opening and query system, there will be no information confusion and ambiguity in the query keywords. The new resource virtualization management system can classify and manage the earthquake information transmitted from the information integration and aggregation system, and then classify and integrate the classified earthquake information. After the classification and integration is completed, the classified earthquake information is allocated, and finally the carefully allocated earthquake information is scheduled, so that the earthquake information stored in the big data database system can be classified in detail, so that the earthquake information stored in the big data database system can be quickly and accurately retrieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0013] Figure 1 This is a schematic diagram of the structure of a seismic business data fusion big data platform proposed by the present invention;

[0014] Figure 2 This is a schematic diagram of the structure of the resource virtualization management system proposed by the present invention;

[0015] In the figure: 1. Earthquake data opening and query system; 2. Big data database system; 3. Resource virtualization management system; 4. Information integration and summary system; 5. Earthquake information acquisition system; 6. Resource scheduling module; 7. Resource allocation module; 8. Resource integration module; 9. Resource management module. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] See also Figure 1-2The present invention provides a technical solution: a big data platform for the fusion of earthquake business data, including an earthquake data opening and query system 1, a big data database system 2, a resource virtualization management system 3, an information integration and summary system 4 and an earthquake information acquisition system 5. The information integration and summary system 4 is used to receive information transmitted by the earthquake information acquisition system 5. The earthquake information acquisition system 5 collects earthquake information through multiple platforms. The platforms for the earthquake information acquisition system 5 to collect earthquake information are mainly earthquake new media platforms, earthquake information public service platforms, industry service platforms and professional site monitoring platforms. The earthquake new media platform is mainly used to collect earthquake information collected by Baidu Maps, Gaode Maps and various mobile phone APPs. The earthquake information public service platform The public service platform is mainly used to collect earthquake information collected by Internet platforms such as Weibo, express clients and cloud websites. The industry service platform is mainly used to collect earthquake information collected by the National Emergency Broadcasting, the Ministry of Water Resources, the Ministry of Transport and the Ministry of Emergency Management. The professional site monitoring platform is mainly used to collect earthquake information collected by the national earthquake department. The collection of earthquake information through multiple channels and platforms can not only make the collected earthquake information more refined, but also better assist in summarizing and modeling the earthquake information. The resource virtualization management system 3 is used to receive information transmitted by the information integration and summary system 4. The information integration and summary system 4 includes a basic geographic data processing module, a geological fault data processing module, and an earthquake monitoring station. The network data processing module, earthquake satellite data processing module, earthquake basic data processing module and earthquake emergency core data processing module, the basic geographic data processing module, the geological fault data processing module, the earthquake monitoring station network data processing module, the earthquake satellite data processing module, the earthquake basic data processing module and the earthquake emergency core data processing module classify, integrate and summarize the earthquake information transmitted from the earthquake information acquisition system 5. The big data database system 2 is used to receive the information transmitted by the resource virtualization management system 3. The big data database system 2 is used to store the earthquake information collected and finally integrated. The big data database system 2 is mainly divided into two storage methods: computer storage and cloud storage. Computer storage The two storage methods are carried out simultaneously with cloud storage and the storage content is the same. The earthquake data opening and query system 1 is used to receive information transmitted by the big data database system 2. The resource virtualization management system 3 includes a resource scheduling module 6, a resource allocation module 7, a resource integration module 8 and a resource management module 9. The resource scheduling module 6, the resource allocation module 7, the resource integration module 8 and the resource management module 9 respectively schedule, allocate, secondary integrate and secondary manage the earthquake information received in the resource virtualization management system 3. The resource scheduling module 6, the resource allocation module 7, the resource integration module 8 and the resource management module 9 schedule, allocate, secondary integrate and secondary manage the earthquake information and then classify and store it in the big data database system 2.The secondary sorting of earthquake information transmitted from the information integration and summary system 4 to the resource virtualization management system 3 can classify, summarize and organize the collected complicated earthquake information, so that the earthquake information stored in the big data database system 2 is reasonably classified and stored, so that when the earthquake information stored in the big data database system 2 is queried through the earthquake data opening and query system 1, there will be no information confusion and ambiguity in the query keywords. The new resource virtualization management system 3 can classify and manage the earthquake information transmitted from the information integration and summary system 4, and then classify and integrate the classified earthquake information. After the classification and integration is completed, the classified earthquake information is allocated, and finally the carefully allocated earthquake information is scheduled, so that the earthquake information stored in the big data database system 2 can be classified in detail.

[0018] The working principle and use process of the present invention: After the present invention is installed, when the earthquake business data fusion big data platform collects and stores earthquake information, the earthquake information collection system 5 will first collect earthquake information on a large scale through multiple channels, and the earthquake information collection system 5 mainly collects earthquake information through earthquake new media platforms, earthquake information public service platforms, industry service platforms and professional site monitoring platforms. Among them, the earthquake new media platform is mainly used to collect earthquake information collected by Baidu Maps, Gaode Maps and various mobile phone APPs, the earthquake information public service platform is mainly used to collect earthquake information collected by Internet platforms such as Weibo, Express Client and Cloud Website, the industry service platform is mainly used to collect earthquake information collected by National Emergency Broadcasting, Ministry of Water Resources, Ministry of Transport and Ministry of Emergency Management, and the professional site monitoring platform is mainly used to collect earthquake information collected by the national earthquake department. When the earthquake information is collected on a large scale After the collection is completed, the collected earthquake information will be transmitted to the information integration and summary system 4, and the information integration and summary system 4 includes a basic geographic data processing module, a geological fault data processing module, an earthquake monitoring network data processing module, an earthquake satellite data processing module, an earthquake basic data processing module and an earthquake emergency core data processing module. The basic geographic data processing module, the geological fault data processing module, the earthquake monitoring network data processing module, the earthquake satellite data processing module, the earthquake basic data processing module and the earthquake emergency core data processing module classify, integrate and summarize the earthquake information transmitted from the earthquake information collection system 5, and then the integrated and summarized earthquake information will be transmitted to the resource virtualization management system 3 for scheduling, allocation, secondary integration and secondary management, and then the scheduled, allocated, secondary integrated and secondary managed earthquake information will be transmitted to the big data database system 2 for storage.

[0019] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A seismic business data fusion big data platform, comprising a seismic data opening and query system (1), a big data database system (2), a resource virtualization management system (3), an information integration and aggregation system (4) and a seismic information acquisition system (5), characterized in that: The information integration and aggregation system (4) is used to receive information transmitted by the earthquake information acquisition system (5), the resource virtualization management system (3) is used to receive information transmitted by the information integration and aggregation system (4), the big data database system (2) is used to receive information transmitted by the resource virtualization management system (3), the earthquake data opening and query system (1) is used to receive information transmitted by the big data database system (2), the resource virtualization management system (3) includes a resource scheduling module (6), a resource allocation module (7), a resource integration module (8) and a resource management module (9), the resource scheduling module (6), the resource allocation module (7), the resource integration module (8) and the resource management module (9) respectively schedule, allocate, secondary integrate and secondary manage the earthquake information received in the resource virtualization management system (3), and the resource scheduling module (6), the resource allocation module (7), the resource integration module (8) and the resource management module (9) schedule, allocate, secondary integrate and secondary manage the earthquake information and then classify and store it in the big data database system (2); The earthquake information acquisition system (5) collects earthquake information through a platform, and the platform for collecting earthquake information by the earthquake information acquisition system (5) includes an earthquake new media platform, an earthquake information public service platform, an industry service platform and a professional site monitoring platform; The information integration and summary system (4) includes a basic geographic data processing module, a geological fault data processing module, an earthquake monitoring network data processing module, an earthquake satellite data processing module, an earthquake basic data processing module and an earthquake emergency core data processing module. The basic geographic data processing module, the geological fault data processing module, the earthquake monitoring network data processing module, the earthquake satellite data processing module, the earthquake basic data processing module and the earthquake emergency core data processing module classify, integrate and summarize the earthquake information transmitted from the earthquake information acquisition system (5).

2. The earthquake business data fusion big data platform according to claim 1, characterized in that: The big data database system (2) is used to store the collected and finally integrated seismic information. The big data database system (2) is divided into two storage modes: computer storage and cloud storage. The computer storage and cloud storage are performed simultaneously and the storage contents are the same.

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