CN-121984574-A - Method, system and device for generating and sending satellite emergency communication rescue information in grading mode

CN121984574ACN 121984574 ACN121984574 ACN 121984574ACN-121984574-A

Abstract

The application discloses a method, a system and a device for generating and sending satellite emergency communication rescue information in a grading manner, which are used for improving the accuracy of the rescue information. The method comprises the steps of confirming source characteristics according to source information of a rescue site, sectionally slicing time data according to a preset time step to obtain a time slice set, spatially mapping position data according to grid division results of a satellite map to obtain space unit grids, determining time slice identifications and space unit identifications corresponding to the source characteristics according to the time slice set and the space unit grids, checking the time slice identifications and the space unit identifications corresponding to all event characteristics through a preset checking algorithm, checking dependent source characteristics, establishing event correlation identifications for target source characteristics meeting the preset characteristics according to checking results, performing aggregate analysis on the target source characteristics with the same event correlation identifications, and sending situation analysis information to target equipment according to an obtained sending sequence.

Inventors

LI PAI
JIANG TAO
CHEN WENXIANG
ZHENG YONGHUI

Assignees

深圳星联天通科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260407

Claims (11)

1. The method for generating and transmitting satellite emergency communication rescue information in a grading manner is characterized by comprising the following steps of: Confirming source characteristics according to source information of a rescue site, wherein the source characteristics comprise time data, position data and event characteristics; sectioning and slicing the time data according to a preset time step length to obtain a time slice set; Performing space mapping on the position data according to the grid division result of the satellite map to obtain a space unit grid; Determining a time slice identifier and a space unit identifier corresponding to the source characteristic according to the time slice set and the space unit grid; Verifying all the time slice identifiers and the space unit identifiers corresponding to the event features through a pre-configured verification algorithm, wherein the verification depends on the source features; establishing event association identifiers for target source features meeting preset features according to the verification result; And carrying out aggregation analysis on the target source characteristics with the same event association identifier, and sending the situation analysis information to target equipment according to the obtained sending sequence.
2. The method according to claim 1, wherein the verifying the time slice identifier and the space unit identifier corresponding to all the event features by a pre-configured verification algorithm, the verifying depending on the source features, comprises: Constructing a consistency judgment model according to the space-time event association relation between the source features and the adjacent source features, and calculating a consistency score based on the consistency judgment model; When the consistency score meets a reservation condition, reserving the corresponding time slice identifier and the corresponding space unit identifier; When the consistency score meets a correction condition and does not meet the retention condition, correcting the corresponding time slice identifier or the corresponding space unit identifier according to the space-time distribution result of the adjacent source characteristics; And when the consistency score does not meet the correction condition, eliminating the corresponding source characteristic.
3. The method according to claim 1, wherein the establishing an event association identifier for the target source feature satisfying the preset feature according to the result of the verification includes: carrying out neighborhood retrieval on the target source characteristics which pass the verification and meet the preset characteristics according to the time slice identifier and the space unit identifier to obtain a candidate associated source characteristic set; calculating a correlation judgment value according to the space-time event similarity relationship between any two candidate correlation source features; And dividing the candidate association source characteristics of which the association judgment value meets a preset association condition into the same association cluster, and establishing event association identification according to the association cluster.
4. The method according to claim 1, wherein the performing aggregate analysis on the target source features with the same event association identifier, and transmitting the situation parsing information to the target device according to the obtained transmission sequence, includes: performing space-time aggregation on the target source features with the same event association identifier to obtain an event aggregation set; Calculating a situation influence value according to the distribution state and the evolution state of the endogenous features of the event aggregation set; Generating situation analysis information according to the situation influence value and the time position corresponding to the event aggregation set; Calculating a transmission priority value according to the situation influence value and the time position, and generating the transmission sequence according to the transmission priority value; And transmitting the situation analysis information to the target equipment according to the transmission sequence.
5. The method according to claim 1, wherein the spatially mapping the position data according to the grid division result of the satellite map to obtain a spatial cell grid includes: projecting the position data to a plane coordinate area corresponding to the satellite map; calculating a boundary constraint quantity according to the position relation between the projected position points and the grid boundary; Mapping the position points of which the boundary constraint quantity meets the direct mapping condition to corresponding grid units; determining the position points of which the boundary constraint quantity does not meet the direct mapping condition as position points to be judged; calculating a spatial attribution value according to the spatial association relation between the position points to be judged and the adjacent grid units; And determining the home grid network unit of the position point to be judged according to the space home value to obtain the space grid network.
6. The method according to any one of claims 1 to 5, wherein the sectioning the time data according to a preset time step to obtain a time slice set comprises: Taking a starting time point in the time data as a time alignment base point, and constructing a continuous time window according to a preset time step; Mapping the time data to the continuous time window to obtain an initial time slice; Calculating the time fluctuation quantity according to the time distribution state of the endogenous features of each initial time slice; when the time fluctuation quantity meets a splitting condition, performing secondary splitting on the initial time slice; And when the time adjacency quantity between the adjacent initial time slices meets the merging condition, merging the adjacent initial time slices to obtain the time slice set.
7. The method according to any one of claims 1 to 5, wherein the identifying a source signature from source information of a rescue scene, the source signature including time data, location data, and event signature, comprises: Performing time reference conversion on the time description content in the source information according to a unified time axis to obtain time data; performing coordinate calculation on the position description content in the source information according to a unified coordinate reference system to obtain position data; performing feature analysis on event description content in the source information, and extracting event semantic relation; constructing an event feature vector according to the event semantic relation; And determining the event feature according to the time data, the position data and the event feature vector, and forming the source feature.
8. The method according to any one of claims 1 to 5, wherein said determining a time slice identity and a space cell identity corresponding to the source signature from the set of time slices and the grid of space cells comprises: performing interval matching on the time data and a time boundary in the time slice set, and determining a target time interval; Generating the time slice identifier according to the position of the target time interval in the time slice set; performing interval matching on the position data and a space boundary in the space unit grid to determine a target space unit; the spatial cell identification is generated from the location of the target spatial cell in the spatial cell grid.
9. A satellite emergency communication rescue information hierarchical generation and transmission system, comprising: The confirming unit is used for confirming source characteristics according to source information of the rescue scene, wherein the source characteristics comprise time data, position data and event characteristics; The slicing unit is used for sectionally slicing the time data according to a preset time step length to obtain a time slice set; the dividing unit is used for carrying out space mapping on the position data according to the grid dividing result of the satellite map to obtain a space unit grid; The determining unit is used for determining a time slice identifier and a space unit identifier corresponding to the source characteristic according to the time slice set and the space unit grid; The verification unit is used for verifying the time slice identifiers and the space unit identifiers corresponding to all the event features through a pre-configured verification algorithm, and the verification depends on the source features; the establishing unit is used for establishing event association identifiers for target source features meeting preset features according to the verification result; And the aggregation analysis unit is used for carrying out aggregation analysis on the target source characteristics with the same event association identifier, and sending the situation analysis information to target equipment according to the obtained sending sequence.
10. A satellite emergency communication rescue information grading generation and transmission device, comprising: a processor, a memory, an input-output unit, and a bus; The processor is connected with the memory, the input/output unit and the bus; The memory holds a program which the processor invokes to perform the method of any one of claims 1 to 8.
11. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a program which, when executed on a computer, performs the method according to any of claims 1 to 8.

Description

Method, system and device for generating and sending satellite emergency communication rescue information in grading mode Technical Field The embodiment of the application relates to the field of satellite communication, in particular to a method, a system and a device for generating and sending satellite emergency communication rescue information in a grading manner. Background In the field of emergency rescue, damage to the communication infrastructure of the disaster-stricken site often results in the satellite link becoming the only channel for guaranteeing the front-rear information interaction. Because of the lack of satellite communication resources and limited bandwidth, prior art research has focused on channel congestion control and traffic optimization in limited network environments. At present, the main stream technical scheme still takes original disaster data as a physical transmission object, reduces data load through a preset compression algorithm, or builds a scheduling model based on message priority, so as to realize differential forwarding and data reduction of different service flows. Due to the influence of dynamic instability of satellite links, the multi-source heterogeneous discrete data presents serious fragmentation distribution in the transmission process, so that a rear receiving end must execute high-complexity message reorganization and association analysis, and the real-time requirement of a rear command system in a limited network environment on rapid judgment of disaster situations and accurate decision of rescue resources cannot be met. Disclosure of Invention In order to solve the technical problems, the application provides a method, a system and a device for generating and sending satellite emergency communication rescue information in a grading manner, which are used for improving the accuracy of the rescue information. The following describes the technical scheme provided in the present application: The first aspect of the application provides a method for generating and transmitting satellite emergency communication rescue information in a grading manner, which comprises the following steps: Confirming source characteristics according to source information of a rescue site, wherein the source characteristics comprise time data, position data and event characteristics; sectioning and slicing the time data according to a preset time step length to obtain a time slice set; Performing space mapping on the position data according to the grid division result of the satellite map to obtain a space unit grid; Determining a time slice identifier and a space unit identifier corresponding to the source characteristic according to the time slice set and the space unit grid; Verifying all the time slice identifiers and the space unit identifiers corresponding to the event features through a pre-configured verification algorithm, wherein the verification depends on the source features; establishing event association identifiers for target source features meeting preset features according to the verification result; And carrying out aggregation analysis on the target source characteristics with the same event association identifier, and sending the situation analysis information to target equipment according to the obtained sending sequence. Optionally, the verifying, by a pre-configured verification algorithm, the time slice identifier and the space unit identifier corresponding to all the event features, where the verifying depends on the source features, includes: Constructing a consistency judgment model according to the space-time event association relation between the source features and the adjacent source features, and calculating a consistency score based on the consistency judgment model; When the consistency score meets a reservation condition, reserving the corresponding time slice identifier and the corresponding space unit identifier; When the consistency score meets a correction condition and does not meet the retention condition, correcting the corresponding time slice identifier or the corresponding space unit identifier according to the space-time distribution result of the adjacent source characteristics; And when the consistency score does not meet the correction condition, eliminating the corresponding source characteristic. Optionally, the establishing an event association identifier for the target source feature that meets the preset feature according to the verification result includes: carrying out neighborhood retrieval on the target source characteristics which pass the verification and meet the preset characteristics according to the time slice identifier and the space unit identifier to obtain a candidate associated source characteristic set; calculating a correlation judgment value according to the space-time event similarity relationship between any two candidate correlation source features; And dividing the candidate association source characteristi