CN-122027686-A - Transmission method of multi-source seismic data

CN122027686ACN 122027686 ACN122027686 ACN 122027686ACN-122027686-A

Abstract

The invention relates to the technical field of data transmission, in particular to a transmission method of multi-source seismic data, which comprises the steps of setting labels for departments through determining data demand characterization values of the departments, determining earthquake disaster coefficients of the departments to divide earthquake disaster areas, identifying the seismic data according to high-risk earthquake disaster areas by combining real-time disaster semantics, analyzing the dependency relationship between the demand data of the departments and the seismic data, determining data dependency characterization values, analyzing the seismic influence range of the places to determine regional disaster situation characterization values, calculating the utility values of the seismic data, packaging the demand data to push to edge nodes of corresponding departments, calculating the pull matching degree of the departments and data packets, and analyzing mapping conditions to determine that the departments receive the data packets. According to the method and the device, the demand urgency of each department on the seismic data is analyzed, the seismic data is pre-packaged and pushed before being pulled, and the data acquisition speed and the data transmission accuracy of the related departments are improved.

Inventors

CHEN YANAN
CHANG JIANJUN
BO TAO
DONG BIN
JIANG WEIMIN
YAN TING
WU TIANHUI

Assignees

北京市地震局

Dates

Publication Date: 20260512
Application Date: 20251219

Claims (10)

1. A method of transmitting multi-source seismic data, comprising: acquiring historical response parameters of a plurality of departments, including response time, response keywords and disaster response types, so as to determine data demand characterization values of the departments, and setting push labels of the departments; Aiming at the setting result of the push label, acquiring earthquake parameters in real time, wherein the earthquake parameters comprise earthquake magnitude, earthquake focus depth and places, and the earthquake parameters are used for calculating earthquake disaster coefficients of all places and dividing earthquake disaster areas; According to the dividing result of the earthquake disaster area, aiming at the high-risk earthquake disaster area, combining real-time disaster semantics to identify earthquake data, analyzing the dependence relationship between department demand data set as a push label and the earthquake data, determining a data dependence characterization value, and analyzing the earthquake influence range of the place to determine an area disaster situation characterization value; Calculating a utility value of the seismic data by combining the data dependence characterization value and the regional disaster situation characterization value, packaging the seismic data meeting preset conditions, and pushing successfully packaged data packets to edge nodes of corresponding departments; Based on the data packet pushing state of the edge node, calculating the pull matching degree of the department and the data packet, and analyzing whether the data packet meets the mapping condition or not so as to determine that the department receives the data packet; the preset condition is that the utility value of the seismic data is larger than a threshold value of the utility value of the seismic data.
2. The method of claim 1, wherein determining the data demand characteristic value for each of the departments comprises, Determining the difference ratio of the response time to the reference response time as a time influence factor; determining the matching degree of the response keywords and the earthquake core words as keyword influence factors; determining the association degree of the disaster response type and the earthquake type as a type influence factor; normalizing the time influence factors, the keyword influence factors and the type influence factors; and determining the weighted summation value of the sum of the normalized time influence factors, the keyword influence factors and the type influence factors as a data requirement representation value.
3. The method of claim 1, wherein each of said departments is labeled, and wherein, If the data demand characterization value is greater than or equal to a data demand characterization value threshold, determining to set a push label for a department corresponding to the data demand characterization value; And if the data demand representation value is smaller than the data demand representation value threshold, determining to set a normal pull tag for a department corresponding to the data demand representation value.
4. The method of claim 1, wherein the step of calculating the seismic disaster recovery coefficients for each location comprises, Determining the ratio of the magnitude to the earthquake influence magnitude as a magnitude influence factor; Determining the ratio of the depth of the seismic source to the depth of the safe seismic source as a depth influencing factor; determining the ratio of the intensity of the place to the intensity of the earthquake fortification as an earthquake resistance factor; And determining the weighted sum value of the magnitude influence factor, the depth influence factor and the shock resistance factor as a seismic disaster factor.
5. The method of claim 1, wherein the dividing the seismic disaster area, wherein, If the earthquake disaster recovery coefficient is larger than the earthquake disaster recovery coefficient threshold value, dividing an earthquake disaster recovery area into a high-risk earthquake disaster recovery area; If the earthquake disaster recovery coefficient is smaller than or equal to the earthquake disaster recovery coefficient threshold value, dividing the earthquake disaster recovery area into a low-risk earthquake disaster recovery area.
6. The method of claim 1, wherein determining the data dependent characterization value comprises, Determining a demand keyword of the department demand data and a seismic descriptor of the seismic data, Calculating the semantic relativity of the demand keywords and the seismic descriptor; And determining the semantic relatedness as a data-dependent characterization value.
7. The method of claim 1, wherein analyzing the seismic impact range of the location to determine the regional disaster situation characterization value comprises, Acquiring historical influence ranges of a plurality of earthquakes with the same magnitude so as to determine earthquake influence factors; And determining the average value of the building vulnerability index of the place and the earthquake impact factor as an area disaster situation representation value.
8. The method of claim 1, wherein calculating the utility value of the seismic data comprises, Determining the ratio of the data-dependent characterization value to the reference data-dependent characterization value as a first utility factor; Determining the ratio of the disaster situation representation value of the area to the disaster situation representation value of the reference area as a second utility factor; And determining a weighted sum value of the first utility factor and the second utility factor as a seismic data utility value.
9. The method of claim 1, wherein the step of transmitting the multi-source seismic data, the process of calculating the pull match of the department to the data packet includes, Determining the access frequency and the processing speed of the department for the data packet in a preset time; and determining the ratio of the access frequency to the processing speed as a pull matching degree.
10. The method of claim 1, wherein said analyzing whether said data packet satisfies a mapping condition determines that said department receives said data packet, wherein, If the pull matching degree is larger than a pull matching degree threshold, determining that the data packet meets a mapping condition, and receiving the data packet by the department; And if the pull matching degree is smaller than or equal to the pull matching degree threshold value, determining that the data packet does not meet the mapping condition, and not receiving the data packet by the department.

Description

Transmission method of multi-source seismic data Technical Field The invention relates to the technical field of data transmission, in particular to a transmission method of multi-source seismic data. Background The multi-source seismic data are core basic data for geological exploration and seismic monitoring, along with the upgrading of a detection technology, the synchronous or alternate work of the multi-source data causes the exponential increase of the data quantity, the real-time performance and the reliability, the data quantity generated by a single exploration task always reaches TB level or even PB level, on one hand, when the traditional transmission method adopts single network transmission, the bandwidth requirement of multi-source data differentiation is difficult to adapt, the link congestion is easy to occur, on the other hand, the wireless signal is unstable due to the complicated topography, the traditional transmission protocol lacks an anti-interference mechanism, the data packet loss rate is higher, the accuracy of subsequent data processing is influenced, so the transmission technology evolves into digital bus transmission under distributed acquisition, and finally the digital bus transmission under the distributed acquisition is developed into a modern transmission system based on packet switching and IP networking protocols by taking high-bandwidth and low-delay optical fibers as physical layers. The key problems of real-time feedback, precise synchronization, control and the like of mass data are solved. The Chinese patent publication No. CN119064989A discloses a multi-source seismic data integration sharing method, which comprises the steps of collecting seismic data acquired by the same seismic data source into the same data group according to all data sources of monitoring the seismic data to obtain a seismic source data set, screening and classifying the seismic data acquired by different seismic data sources according to a data coding format to obtain data groups of different target seismic data types, extracting data characteristics of the seismic data in the data groups, calculating seismic response coefficients according to seismic response degrees represented by the data characteristics, integrating the seismic response coefficients to obtain seismic response data packets, and sequentially transmitting the sub-data packets in a sub-data packet sharing sequence to a sharing user side by utilizing data transmission time of different transmission paths and the number of the sub-data packets which can be transmitted. The invention ensures the wide spread and effective utilization of the seismic data, and has remarkable advantages and application prospects in the aspects of promoting seismic science research and the like. CN109495279a discloses an active data transmission system for a seismic prospecting system, the seismic prospecting system has a plurality of acquisition nodes connected to a transmission line, the active data transmission system is used for supplying power to each acquisition node of the seismic prospecting system and transmitting data between each node, the active transmission system includes a power supply end and a power receiving end, the power supply end is configured on a previous acquisition node, the power receiving end is configured on a subsequent acquisition node, and both the power supply end and the power receiving end have power supply modules. The active data transmission system for the seismic prospecting system adopts a power supply and data coupling mode to carry out multiplexing transmission, reduces the weight and the cable core number of a data transmission line, can save cables of the seismic prospecting system after being used, saves manpower and material resources, and brings great convenience for field construction. There are problems in the prior art that, High concurrency access of multiple departments after earthquake to earthquake data is easy to cause reduction of data retrieval and transmission efficiency, and update delay of critical disaster situation data is caused to departments needing real-time rapid data, so that the requirement of emergency response on data instantaneity cannot be met. Disclosure of Invention Therefore, the invention provides a transmission method of multi-source seismic data, which is used for overcoming the problems that high concurrency access of post-earthquake multiple departments to the seismic data is easy to cause reduction of data retrieval and transmission efficiency, update delay of critical disaster condition data is caused to departments needing real-time rapid data, and the real-time requirement of emergency response to the data cannot be met. To achieve the above object, the present invention provides a transmission method of multi-source seismic data, including, Acquiring historical response parameters of a plurality of departments, including response time, response keywords and disaster