Gridding earthquake early warning broadcasting method for emergency broadcasting

Abstract

The invention relates to the technical field of early warning broadcasting, and discloses a gridding earthquake early warning broadcasting method for emergency broadcasting, which comprises the following steps: performing gridding partition on a target early warning area to obtain N sub-areas; configuring a broadcast file and a calculation model for the alarm horn in each sub-region; obtaining concurrent information of the early warning center to the N sub-regions; the concurrent information comprises the following steps: respectively inputting the concurrent information into calculation models of different alarm horns in the sub-regions to obtain corresponding broadcast query information; and querying the broadcast file based on the broadcast query information to obtain alarm broadcast information of the alarm horns in the corresponding sub-regions, and broadcasting the alarm broadcast information.

Description

Technical Field

[0001] The present invention relates to the field of early warning broadcasting, and more specifically, to a gridded earthquake early warning broadcasting method for emergency broadcasting. Background Art

[0002] Modern earthquake warnings are mostly issued via mobile phones, but the vast majority of the population live in rural areas, and most of them are left-behind elderly people and children, who find it difficult to use mobile phones conveniently. Therefore, earthquake warnings in rural areas are usually broadcast via loudspeakers.

[0003] However, when the early warning center sends broadcast information to the loudspeaker, the location of each loudspeaker is different, resulting in different earthquake wave countdown times and different estimated intensities. Therefore, it is necessary to send personalized broadcast information to each loudspeaker, which makes it difficult for the early warning center to send concurrent information and low early warning efficiency. Summary of the invention

[0004] The present invention provides a gridded earthquake early warning broadcast method for emergency broadcasting, which solves the technical problems raised in the background technology.

[0005] The present invention provides a grid-based earthquake early warning broadcast method for emergency broadcast, comprising:

[0006] Step 1: grid-partition the target warning area to obtain N sub-areas;

[0007] Step 2, configuring a broadcast file and a calculation model for the alarm speaker in each sub-area;

[0008] Step 3, obtaining concurrent information of N sub-areas from the early warning center;

[0009] Step 4, inputting the concurrent information into the calculation models of different alarm speakers in the sub-areas respectively to obtain corresponding broadcast query information;

[0010] Step 5: query the broadcast file based on the broadcast query information, obtain the alarm broadcast information of the alarm speaker in the corresponding sub-area, and broadcast the alarm broadcast information.

[0011] Further, grid partitioning includes:

[0012] Step 21, partitioning the target sub-region into first density grids to obtain a plurality of first sub-blocks;

[0013] Step 22, collecting geological parameters for each first sub-block; the geological parameters include: the type of stratum rock and the proportion of each type of stratum rock, the type of geological zone, the type of soil and the thickness of each type of soil;

[0014] Step 23, calculating a geological score for each first sub-block based on the geological parameters, the calculation formula of the geological score is as follows: ;

[0015] in, Indicates The geological score of the first sub-block, and denote the first weight parameter and the second weight parameter respectively, Indicates the number of types of formation rocks, express The index of Indicates the number of soil types, express The index of Indicates The proportion of various types of stratigraphic rocks, Indicates The rigidity coefficient of the formation rock of the type, Indicates The stability coefficient of the geological belt of the first sub-block, Indicates The proportion of soil types, Indicates The thickness of the soil type, represents the first exponential coefficient, represents the second exponential coefficient;

[0016] Among them, different stability coefficients are assigned to different geological zone types based on expert experience;

[0017] Step 24: if the geological scores of the two first sub-blocks are less than the preset score threshold, the corresponding two first sub-blocks are merged to obtain a merged first sub-block, and the average of the geological scores of the two first sub-blocks is used as the geological score of the merged first sub-block;

[0018] Step 25, repeating step 24 until the geological scores of any two first sub-blocks are greater than or equal to a preset score threshold, then taking each first sub-block as the second sub-block;

[0019] Step 26: divide the second sub-block according to a preset interval to obtain N sub-regions.

[0020] Furthermore, the broadcast files and calculation models are as follows:

[0021] The broadcast file includes: a broadcast content template and a number of broadcast parameters, which are used to insert the broadcast content template; the broadcast parameters include: earthquake estimated intensity and remaining arrival time of earthquake waves;

[0022] The computing model includes: a first computing layer and a second computing layer.

[0023] Further, dividing the second sub-block according to a preset interval includes:

[0024] Each second sub-block is segmented at a preset interval, and each sub-area includes at least three alarm horns; a number of individuals that meet the constraint conditions are generated based on the genetic algorithm initialization, and each individual represents a sub-area segmentation scheme of a target warning area;

[0025] The constraints are: in the sub-region segmentation scheme corresponding to each individual, the size of each sub-region is a preset interval; wherein the preset intervals are set by expert experience;

[0026] The objective function is: ;

[0027] in, represents the objective function value of the fth individual, and denote the first target weight and the second target weight respectively, represents the number of sub-regions in the sub-region segmentation scheme corresponding to the f-th individual, express The index of represents the sub-region area weight, represents the area of ​​the pth subregion in the subregion segmentation scheme corresponding to the fth individual, Indicates the weight of the number of alarm horns, represents the number of alarm horns in the p-th sub-region in the sub-region segmentation scheme corresponding to the f-th individual, represents the number of sub-region standards, represents the expected area size of the pth sub-region in the sub-region segmentation scheme corresponding to the fth individual;

[0028] R1, obtain the average objective function value of several individuals, retain the individuals whose objective function value is greater than or equal to the average objective function value, and use the remaining individuals as parents for random crossover or mutation;

[0029] R2, repeat step R1 for a preset number of times, and take the solution corresponding to the individual with the highest objective function value as the sub-region segmentation solution.

[0030] Furthermore, the corresponding broadcast query information is obtained, including:

[0031] Concurrent information includes: epicenter coordinates, focal depth, epicenter earthquake magnitude and epicenter earthquake time;

[0032] The i-th sub-area includes one alarm speaker for receiving concurrent information and at least two alarm speakers for distributed computing; the alarm speaker for receiving concurrent information in the i-th sub-area has a data connection with any alarm speaker in the i-th sub-area; the alarm speaker for receiving concurrent information is used to forward the concurrent information to the alarm speaker for distributed computing;

[0033] Input concurrent information into the first computing layer of the ath distributed computing alarm speaker in the i-th sub-region, and the first computing layer outputs the earthquake estimated intensity in the i-th sub-region;

[0034] Input the concurrent information into the second computing layer of the alarm speaker of the bth distributed computing in the i-th sub-region, and the second computing layer outputs the remaining arrival time of the seismic wave in the i-th sub-region;

[0035] The alarm loudspeaker receiving concurrent information in the i-th sub-area receives the earthquake estimated intensity and the remaining arrival time of the earthquake wave returned by the a-th distributed computing alarm loudspeaker and the b-th distributed computing alarm loudspeaker, and obtains the broadcast query information.

[0036] Furthermore, the calculation formula of the first calculation layer is as follows: ;

[0037] in, represents the estimated earthquake intensity of the ith sub-region, represents the first epicenter earthquake magnitude influence coefficient, Indicates the magnitude of the earthquake. represents the influence coefficient of the second epicenter earthquake level, represents the Euclidean distance between the center coordinates of the ith sub-region and the epicenter coordinates, represents the attenuation distance, represents the decay exponent, represents the focal depth correction coefficient, Indicates the focal depth.

[0038] Furthermore, the calculation formula of the second calculation layer is as follows: ;

[0039] in, represents the remaining arrival time of the ith sub-area, It indicates the S wave propagation speed corresponding to the earthquake magnitude E at the epicenter. represents the first correlation coefficient, It indicates the P wave propagation speed corresponding to the earthquake magnitude E at the epicenter. represents the second correlation coefficient, Indicates the time when the alarm horn receiving concurrent messages receives concurrent messages. Indicates the time of the earthquake epicenter.

[0040] Furthermore, the alarm broadcast information is broadcasted, including:

[0041] The estimated earthquake intensity and the remaining arrival time of the earthquake wave are inserted into the broadcast content template as alarm broadcast information, including:

[0042] The estimated earthquake intensity is reported at fixed intervals;

[0043] The remaining arrival time of the seismic wave is reported at fixed intervals by reducing the parameters at fixed time intervals.

[0044] In a second aspect, a computing device includes:

[0045] one or more processors;

[0046] The storage device is used to store one or more programs. When the one or more programs are executed by one or more processors, the one or more processors implement the method described.

[0047] In a third aspect, a computer-readable storage medium stores a program, and the program implements the method when executed by a processor.

[0048] The beneficial effects of the present invention are as follows: by dividing the target warning area into grids, the differences in concurrent information are effectively reduced, the concurrent processing pressure of the warning center is alleviated, and the warning efficiency is greatly improved; by means of edge computing, the computing tasks are distributed to the alarm speakers in each sub-area, and personalized earthquake warning broadcasts are realized for each sub-area, ensuring the accurate transmission of information and further improving the overall performance of the warning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flow chart of a grid earthquake early warning broadcasting method for emergency broadcasting of the present invention. DETAILED DESCRIPTION

[0050] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and the functions and arrangements of the elements discussed may be changed without departing from the scope of protection of the contents of this specification. Each example may omit, replace or add various processes or components as needed. In addition, the features described relative to some examples may also be combined in other examples.

[0051] like Figure 1 As shown, a grid-based earthquake early warning broadcasting method for emergency broadcasting includes:

[0052] Step 1: grid-partition the target warning area to obtain N sub-areas;

[0053] Step 2, configuring a broadcast file and a calculation model for the alarm speaker in each sub-area;

[0054] Step 3, obtaining concurrent information of N sub-areas from the early warning center;

[0055] Step 4, inputting the concurrent information into the calculation models of different alarm speakers in the sub-areas respectively to obtain corresponding broadcast query information;

[0056] Step 5: query the broadcast file based on the broadcast query information, obtain the alarm broadcast information of the alarm speaker in the corresponding sub-area, and broadcast the alarm broadcast information.

[0057] In one embodiment of the present invention, gridding partitions includes:

[0058] Step 21, partitioning the target sub-region into first density grids to obtain a plurality of first sub-blocks;

[0059] Step 22, collecting geological parameters for each first sub-block; the geological parameters include: the type of stratum rock and the proportion of each type of stratum rock, the type of geological zone, the type of soil and the thickness of each type of soil;

[0060] Step 23, calculating a geological score for each first sub-block based on the geological parameters, the calculation formula of the geological score is as follows: ;

[0061] in, Indicates The geological score of the first sub-block, and denote the first weight parameter and the second weight parameter respectively, Indicates the number of types of formation rocks, express The index of Indicates the number of soil types, express The index of Indicates The proportion of various types of stratigraphic rocks, Indicates The rigidity coefficient of the formation rock of the type, Indicates The stability coefficient of the geological belt of the first sub-block, Indicates The proportion of soil types, Indicates The thickness of the soil type, represents the first exponential coefficient, represents the second exponential coefficient;

[0062] Among them, different stability coefficients are assigned to different geological zone types based on expert experience;

[0063] Step 24: if the geological scores of the two first sub-blocks are less than the preset score threshold, the corresponding two first sub-blocks are merged to obtain a merged first sub-block, and the average of the geological scores of the two first sub-blocks is used as the geological score of the merged first sub-block;

[0064] Step 25, repeating step 24 until the geological scores of any two first sub-blocks are greater than or equal to a preset score threshold, then taking each first sub-block as the second sub-block;

[0065] Step 26: divide the second sub-block according to a preset interval to obtain N sub-regions.

[0066] Specifically, the function of step 21 is to partition the target warning area into a first-level grid to obtain a number of first sub-blocks. At this time, the density of the partition is relatively high, and the purpose is to divide the warning area into more small blocks so that each small block can be processed more accurately later. Ensure that the division of each sub-area can reflect the differences in geological conditions, so that the subsequent geological scoring and calculation are more refined.

[0067] Step 22 requires the collection of geological parameters for each first sub-block, including the type of stratum rock, the proportion of each type of rock, the type of geological belt, the type of soil, and the thickness of each soil. This allows the acquisition of important geological features that affect earthquake early warning, so as to provide necessary data for subsequent geological scoring. Detailed geological data analysis makes subsequent geological scoring and calculations more refined.

[0068] Step 23 uses the collected geological parameters to calculate the geological score of each first sub-block. The scoring formula involves factors such as the type of stratum rock, soil type, and stability of the geological belt. Through a comprehensive evaluation of geological parameters, a score is given to each sub-block to reflect its geological stability and provide a basis for subsequent regional division. By quantifying geological factors, it is ensured that the allocation of early warning areas under different geological conditions is more scientific.

[0069] Step 24: If the geological scores of the two first sub-blocks are lower than the set threshold, the two sub-blocks are merged, and their average geological scores are taken as the merged score. By merging similar low-scoring sub-blocks, unnecessary subdivisions are reduced and the subsequent regional division process is simplified. This avoids over-refining sub-regions and maintains reasonable regional division.

[0070] Step 25, continue merging until the geological scores of all first sub-blocks reach or exceed the preset score threshold, and the merged sub-blocks become the second sub-blocks. By continuously merging sub-blocks that do not meet the requirements, the final second sub-block is made more in line with the geological feature requirements. Ensure that all sub-areas can meet the preset stability requirements, thereby reducing the error of regional division.

[0071] Step 26, after step 25 is completed, each second sub-block is divided according to the set interval, and finally N sub-areas are obtained. Thus, a larger area is divided into multiple smaller sub-areas, so that the earthquake early warning broadcast in each sub-area is more accurate. Ensure that the size of each sub-area is reasonable and can meet the early warning requirements, providing a basis for subsequent personalized broadcasts.

[0072] In one embodiment of the present invention, the broadcast file and the calculation model are as follows:

[0073] The broadcast file includes: a broadcast content template and a number of broadcast parameters, which are used to insert the broadcast content template; the broadcast parameters include: earthquake estimated intensity and remaining arrival time of earthquake waves;

[0074] The computing model includes: a first computing layer and a second computing layer.

[0075] Specifically, the composition of the broadcast file: the broadcast file consists of a broadcast content template and several broadcast parameters. The broadcast content template is the framework of the broadcast information, and the broadcast parameters are variables dynamically inserted into the template. Function of the broadcast file: The broadcast content template provides a fixed broadcast framework, while the broadcast parameters are used to customize according to specific earthquake information. Specific broadcast parameters include "estimated earthquake intensity" and "remaining arrival time of earthquake waves." These parameters are obtained based on real-time calculations and inserted into the template to form the actual broadcast content. The role of the broadcast file: The role of the broadcast file is to generate flexible and accurate earthquake early warning broadcast information. By inserting specific earthquake information into the template, it is ensured that each area receives personalized early warning broadcasts based on its actual situation, thereby improving the pertinence and effectiveness of the early warning.

[0076] Composition of the calculation model: The calculation model includes the first calculation layer and the second calculation layer. Each layer is responsible for processing different types of earthquake warning information. The first calculation layer of the calculation model: mainly calculates the estimated earthquake intensity of each sub-region. This calculation layer estimates the intensity of the earthquake based on factors such as the epicenter coordinates, focal depth, and earthquake level, so as to provide corresponding warnings for each region. The second calculation layer of the calculation model: calculates the remaining arrival time of the seismic wave. By inputting concurrent information (such as the epicenter earthquake level, focal depth, etc.), this layer calculates the remaining time for the seismic wave to reach the area. The role of the calculation model: The role of the calculation model is to convert concurrent information (such as epicenter coordinates, focal depth, earthquake level, etc.) into actual broadcast content. By calculating the estimated intensity and remaining arrival time of each sub-region, the calculation model ensures that each region can receive personalized and accurate earthquake warnings, making the warning more effective and timely.

[0077] For example, the template for the announcement content is: Attention! According to the calculation of the earthquake early warning system, your area may be affected by an earthquake. The estimated earthquake intensity in this area is: {to be inserted}, and the remaining arrival time is: {to be inserted} seconds. Please take protective measures quickly.

[0078] The broadcast parameters include the specific earthquake intensity and the remaining arrival time of the earthquake wave. These parameters are calculated by the calculation model and inserted into the placeholder position in the broadcast content template. If the earthquake intensity is 7.2 (which may indicate strong shaking) and the remaining arrival time is 15 seconds, the broadcast file will be: Attention! According to the calculation of the earthquake early warning system, your area may be affected by an earthquake. The earthquake intensity in this area is expected to be: {7.2}, and the remaining arrival time is: {15} seconds. Please take protective measures quickly.

[0079] In one embodiment of the present invention, dividing the second sub-block according to a preset interval includes:

[0080] Each second sub-block is segmented at a preset interval, and each sub-area includes at least three alarm horns; a number of individuals that meet the constraint conditions are generated based on the genetic algorithm initialization, and each individual represents a sub-area segmentation scheme of a target warning area;

[0081] The constraints are: in the sub-region segmentation scheme corresponding to each individual, the size of each sub-region is a preset interval; wherein the preset intervals are set by expert experience;

[0082] The objective function is: ;

[0083] in, represents the objective function value of the fth individual, and denote the first target weight and the second target weight respectively, represents the number of sub-regions in the sub-region segmentation scheme corresponding to the f-th individual, express The index of represents the sub-region area weight, represents the area of ​​the pth subregion in the subregion segmentation scheme corresponding to the fth individual, Indicates the weight of the number of alarm horns, represents the number of alarm horns in the p-th sub-region in the sub-region segmentation scheme corresponding to the f-th individual, represents the number of sub-region standards, represents the expected area size of the pth sub-region in the sub-region segmentation scheme corresponding to the fth individual;

[0084] R1, obtain the average objective function value of several individuals, retain the individuals whose objective function value is greater than or equal to the average objective function value, and use the remaining individuals as parents for random crossover or mutation;

[0085] R2, repeat step R1 for a preset number of times, and take the solution corresponding to the individual with the highest objective function value as the sub-region segmentation solution.

[0086] Specifically, through the optimization process of the genetic algorithm, it can be ensured that the segmentation of the sub-areas not only meets the preset intervals, but also the number of alarm horns can be reasonably allocated. This can avoid the sub-area division being too uneven, ensure the number and area of ​​alarm horns in each area are appropriate, thereby improving the efficiency and accuracy of the early warning system. The genetic algorithm can automatically generate and screen the optimal segmentation scheme, avoiding the tedious process of manual adjustment, and improving the work efficiency and automation of the system. At the same time, through the optimized segmentation scheme, unnecessary waste of computing resources can also be reduced. By reasonably segmenting the sub-areas, the number and area of ​​alarm horns in each area are optimized, thereby improving the speed and accuracy of the propagation of early warning information.

[0087] In one embodiment of the present invention, obtaining corresponding broadcast query information includes:

[0088] Concurrent information includes: epicenter coordinates, focal depth, epicenter earthquake magnitude and epicenter earthquake time;

[0089] The i-th sub-area includes one alarm speaker for receiving concurrent information and at least two alarm speakers for distributed computing; the alarm speaker for receiving concurrent information in the i-th sub-area has a data connection with any alarm speaker in the i-th sub-area; the alarm speaker for receiving concurrent information is used to forward the concurrent information to the alarm speaker for distributed computing;

[0090] Input concurrent information into the first computing layer of the ath distributed computing alarm speaker in the i-th sub-region, and the first computing layer outputs the earthquake estimated intensity in the i-th sub-region;

[0091] Input the concurrent information into the second computing layer of the alarm speaker of the bth distributed computing in the i-th sub-region, and the second computing layer outputs the remaining arrival time of the seismic wave in the i-th sub-region;

[0092] The alarm loudspeaker receiving concurrent information in the i-th sub-area receives the earthquake estimated intensity and the remaining arrival time of the earthquake wave returned by the a-th distributed computing alarm loudspeaker and the b-th distributed computing alarm loudspeaker, and obtains the broadcast query information.

[0093] It should be noted that the concurrent information of the N sub-areas is the same.

[0094] Specifically, through concurrent information and multi-level calculations, the system can calculate the earthquake intensity and remaining arrival time of each sub-region according to the specific location of the epicenter and the earthquake intensity, so that each region can receive accurate early warning information according to its specific situation. By configuring distributed computing alarm speakers in each sub-region, data and computing tasks can be dispersed to each alarm speaker for processing, avoiding the performance bottleneck caused by centralized computing. This not only speeds up the calculation speed, but also optimizes the data transmission process and improves the responsiveness of the early warning system. Through the effective transmission and processing of concurrent information, each sub-region can quickly obtain the calculation results, reducing the response time of the system. This enables the entire earthquake early warning system to issue early warning information to the public more promptly when an earthquake occurs, reducing the losses caused by the earthquake. By accurately calculating the earthquake intensity and remaining arrival time of each sub-region, the system can customize personalized broadcast content for each region. This ensures that different regions receive early warning information that conforms to the actual situation in the same earthquake event, thereby enhancing the practicality and effectiveness of the system.

[0095] In one embodiment of the present invention, the calculation formula of the first calculation layer is as follows: ;

[0096] in, represents the estimated earthquake intensity of the ith sub-region, represents the first epicenter earthquake magnitude influence coefficient, Indicates the magnitude of the earthquake. represents the influence coefficient of the second epicenter earthquake level, represents the Euclidean distance between the center coordinates of the ith sub-region and the epicenter coordinates, represents the attenuation distance, represents the decay exponent, represents the focal depth correction coefficient, Indicates the focal depth.

[0097] Specifically, the main function of the first calculation layer is to calculate the estimated earthquake intensity for each sub-region. Intensity is an important indicator to measure the impact of an earthquake. Epicenter earthquake level influence coefficient: indicates the impact of the epicenter earthquake level on the estimated intensity. The higher the earthquake level, the stronger the estimated intensity is usually. Epicenter earthquake level: that is, the intensity of the epicenter when the earthquake occurs. Euclidean distance between the center of the sub-region and the epicenter coordinates: calculates the actual distance between the sub-region and the epicenter. The farther the distance, the greater the attenuation of the seismic wave, and the lower the intensity. Attenuation distance and attenuation index: indicates the degree of energy attenuation during the propagation of seismic waves. The longer the attenuation distance, the gradually weakening of the seismic wave intensity, and the attenuation index indicates the rate of such attenuation. Source depth correction coefficient: the impact of the depth of the seismic source on the propagation of seismic waves. The deeper the source, the more attenuation the seismic wave will encounter during the transmission process, so the depth correction coefficient can help correct this attenuation. Based on the above parameters, the first calculation layer outputs the estimated earthquake intensity of each sub-region through a calculation formula. This is a key indicator used to describe the intensity of the impact of an earthquake on a specific area. The calculation results provide each sub-region with specific warning information based on epicenter information and regional characteristics, determining what kind of warning the region should receive.

[0098] In one embodiment of the present invention, the calculation formula of the second calculation layer is as follows: ;

[0099] in, represents the remaining arrival time of the ith sub-area, It indicates the S wave propagation speed corresponding to the earthquake magnitude E at the epicenter. represents the first correlation coefficient, It indicates the P wave propagation speed corresponding to the earthquake magnitude E at the epicenter. represents the second correlation coefficient, Indicates the time when the alarm horn receiving concurrent messages receives concurrent messages. Indicates the time of the earthquake epicenter.

[0100] Specifically, the function of the second calculation layer is to calculate the remaining time for the earthquake wave to propagate from the epicenter to each sub-area. This time is the time difference from the current moment to the time when the earthquake wave actually arrives at the area. S wave propagation speed when the epicenter earthquake level is E: This is the S wave propagation speed based on the earthquake level. S wave is a type of wave in earthquakes, and it propagates slowly, so it has an important impact on the arrival time of earthquake waves. P wave propagation speed when the epicenter earthquake level is E: P wave is another type of wave in earthquakes, and it propagates faster, so it affects the initial arrival time of earthquake waves. The correlation coefficient is used to correct the relationship between the S wave and P wave propagation speed and the earthquake level, helping to calculate a more accurate propagation speed. The time when the alarm speaker that receives concurrent information receives concurrent information: This refers to the time point when the alarm speaker receives the epicenter information in the early warning system. Based on this time, the system can calculate the remaining arrival time. Epicenter earthquake time: refers to the exact time when the earthquake occurred. By comparing the epicenter earthquake time and the time when the alarm speaker receives the information, the system can derive the remaining arrival time.

[0101] In one embodiment of the present invention, the alarm broadcast information is broadcasted, including:

[0102] The estimated earthquake intensity and the remaining arrival time of the earthquake wave are inserted into the broadcast content template as alarm broadcast information, including:

[0103] The estimated earthquake intensity is reported at fixed intervals;

[0104] The remaining arrival time of the seismic wave is reported at fixed intervals by reducing the parameters at fixed time intervals.

[0105] For example, the following:

[0106] At the first moment, the broadcast file is as follows: Attention! Your area may be affected by an earthquake. Estimated earthquake intensity: 6.5, remaining arrival time of seismic waves: 25 seconds. Please take safety measures as soon as possible!

[0107] At the second moment, the broadcast file is as follows: Attention! Your area may be affected by an earthquake. Estimated earthquake intensity: 6.5, remaining arrival time of seismic waves: 20 seconds. Please take safety measures as soon as possible!

[0108] At the third moment, the broadcast file is as follows: Attention! Your area may be affected by an earthquake. Estimated earthquake intensity: 6.5, remaining arrival time of seismic waves: 15 seconds. Please take safety measures as soon as possible!

[0109] A computing device comprising:

[0110] one or more processors;

[0111] The storage device is used to store one or more programs. When the one or more programs are executed by one or more processors, the one or more processors implement the method described.

[0112] A computer-readable storage medium stores a program, which implements the method when executed by a processor.

[0113] The above describes an embodiment of the present embodiment, but the present embodiment is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present embodiment, ordinary technicians in this field can also make many forms, all of which are within the protection of the present embodiment.

Claims

1. A grid-based earthquake early warning broadcast method for emergency broadcasting, characterized in that: include: Step 1: grid-partition the target warning area to obtain N sub-areas; Step 2, configuring a broadcast file and a calculation model for the alarm speaker in each sub-area; Step 3, obtaining concurrent information of N sub-areas from the early warning center; Step 4, inputting the concurrent information into the calculation models of different alarm speakers in the sub-areas respectively to obtain corresponding broadcast query information; Step 5: Obtain the alarm broadcast information of the alarm speaker in the corresponding sub-area based on the broadcast query information, and broadcast the alarm broadcast information.

2. A grid-based earthquake early warning broadcast method for emergency broadcasting according to claim 1, characterized in that: Grid partitioning, including: Step 21, partitioning the target sub-region into first density grids to obtain a plurality of first sub-blocks; Step 22, collecting geological parameters for each first sub-block; the geological parameters include: the type of stratum rock and the proportion of each type of stratum rock, the type of geological zone, the type of soil and the thickness of each type of soil; Step 23, calculating a geological score for each first sub-block based on the geological parameters, the calculation formula of the geological score is as follows: ； in, Indicates The geological score of the first sub-block, and denote the first weight parameter and the second weight parameter respectively, Indicates the number of types of formation rocks, express The index of Indicates the number of soil types, express The index of Indicates The proportion of various types of stratigraphic rocks, Indicates The rigidity coefficient of the formation rock of the type, Indicates The stability coefficient of the geological belt of the first sub-block, Indicates The proportion of soil types, Indicates The thickness of the soil type, represents the first exponential coefficient, represents the second exponential coefficient; Among them, different stability coefficients are assigned to different geological zone types based on expert experience; Step 24: if the geological scores of the two first sub-blocks are less than the preset score threshold, the corresponding two first sub-blocks are merged to obtain a merged first sub-block, and the average of the geological scores of the two first sub-blocks is used as the geological score of the merged first sub-block; Step 25, repeating step 24 until the geological scores of any two first sub-blocks are greater than or equal to a preset score threshold, then taking each first sub-block as the second sub-block; Step 26: divide the second sub-block according to a preset interval to obtain N sub-regions.

3. A grid-based earthquake early warning broadcast method for emergency broadcasting according to claim 2, characterized in that: The broadcast files and calculation models are as follows: The broadcast file includes: a broadcast content template and a number of broadcast parameters, which are used to insert the broadcast content template; the broadcast parameters include: earthquake estimated intensity and remaining arrival time of earthquake waves; The computing model includes: a first computing layer and a second computing layer.

4. A grid-based earthquake early warning broadcast method for emergency broadcasting according to claim 3, characterized in that: The second sub-block is divided according to a preset interval, including: Each second sub-block is segmented at a preset interval, and each sub-area includes at least three alarm horns; a number of individuals that meet the constraint conditions are generated based on the genetic algorithm initialization, and each individual represents a sub-area segmentation scheme of a target warning area; The constraints are: in the sub-region segmentation scheme corresponding to each individual, the size of each sub-region is a preset interval; wherein the preset intervals are set by expert experience; The objective function is: ； in, represents the objective function value of the fth individual, and denote the first target weight and the second target weight respectively, represents the number of sub-regions in the sub-region segmentation scheme corresponding to the f-th individual, express The index of represents the sub-region area weight, represents the area of ​​the pth subregion in the subregion segmentation scheme corresponding to the fth individual, Indicates the weight of the number of alarm horns, represents the number of alarm horns in the p-th sub-region in the sub-region segmentation scheme corresponding to the f-th individual, represents the number of sub-region standards, represents the expected area size of the pth sub-region in the sub-region segmentation scheme corresponding to the fth individual; R1, obtain the average objective function value of several individuals, retain the individuals whose objective function value is greater than or equal to the average objective function value, and use the remaining individuals as parents for random crossover or mutation; R2, repeat step R1 for a preset number of times, and take the solution corresponding to the individual with the highest objective function value as the sub-region segmentation solution.

5. A grid-based earthquake early warning broadcast method for emergency broadcasting according to claim 4, characterized in that: Get the corresponding broadcast query information, including: Concurrent information includes: epicenter coordinates, focal depth, epicenter earthquake magnitude and epicenter earthquake time; The i-th sub-area includes one alarm speaker for receiving concurrent information and at least two alarm speakers for distributed computing; the alarm speaker for receiving concurrent information in the i-th sub-area has a data connection with any alarm speaker in the i-th sub-area; the alarm speaker for receiving concurrent information is used to forward the concurrent information to the alarm speaker for distributed computing; Input concurrent information into the first computing layer of the ath distributed computing alarm speaker in the i-th sub-region, and the first computing layer outputs the earthquake estimated intensity in the i-th sub-region; Input the concurrent information into the second computing layer of the alarm speaker of the bth distributed computing in the i-th sub-region, and the second computing layer outputs the remaining arrival time of the seismic wave in the i-th sub-region; The alarm loudspeaker receiving concurrent information in the i-th sub-area receives the earthquake estimated intensity and the remaining arrival time of the earthquake wave returned by the a-th distributed computing alarm loudspeaker and the b-th distributed computing alarm loudspeaker, and obtains the broadcast query information.

6. A grid-based earthquake early warning broadcast method for emergency broadcasting according to claim 5, characterized in that: The calculation formula of the first calculation layer is as follows: ； in, represents the estimated earthquake intensity of the ith sub-region, represents the first epicenter earthquake magnitude influence coefficient, Indicates the magnitude of the earthquake. represents the influence coefficient of the second epicenter earthquake level, represents the Euclidean distance between the center coordinates of the ith sub-region and the epicenter coordinates, represents the attenuation distance, represents the decay exponent, represents the focal depth correction coefficient, Indicates the focal depth.

7. A grid-based earthquake early warning broadcast method for emergency broadcasting according to claim 5, characterized in that: The calculation formula of the second calculation layer is as follows: ； in, represents the remaining arrival time of the ith sub-area, It indicates the S wave propagation speed corresponding to the earthquake magnitude E at the epicenter. represents the first correlation coefficient, It indicates the P wave propagation speed corresponding to the earthquake magnitude E at the epicenter. represents the second correlation coefficient, Indicates the time when the alarm horn receiving concurrent messages receives concurrent messages. Indicates the time of the earthquake epicenter.

8. A grid-based earthquake early warning broadcast method for emergency broadcasting according to claim 5, characterized in that: The alarm broadcast information is broadcast, including: The estimated earthquake intensity and the remaining arrival time of the earthquake wave are inserted into the broadcast content template as alarm broadcast information, including: The estimated earthquake intensity is reported at fixed intervals; The remaining arrival time of the seismic wave is reported at fixed intervals by reducing the parameters at fixed time intervals.

9. A computing device, characterized in that include: one or more processors; A storage device, used for storing one or more programs, when the one or more programs are executed by one or more processors, enables the one or more processors to implement the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: A computer-readable storage medium stores a program, and when the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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