Earthquake early warning information issuing method based on 4G telephone terminal

Abstract

The invention discloses an earthquake early warning information issuing method based on a 4G telephone terminal, and the method comprises the steps: S1, collecting a seismic waveform signal in real time, and carrying out the analysis through a seismic signal processing method, and obtaining the earthquake early warning information; s2, transmitting the earthquake early warning information to a 4G telephone terminal in real time based on a communication protocol; s3, designing an information scheduling strategy, and adjusting an earthquake early warning information transmission sequence and a pushing mode; s4, selecting an optimal information transmission path through an improved least connection algorithm; s5, designing an intelligent terminal wake-up mechanism, and selecting a push mode of earthquake early warning information for different 4G telephone terminal states; s6, the emergency measures are displayed through a user interaction interface, and an information issuing strategy is optimized according to user feedback; and S7, continuously monitoring the network operation state, and evaluating and optimizing the information transmission quality. According to the invention, the transmission efficiency, accuracy and reliability of the earthquake early warning information are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of earthquake early warning information release, in particular to an earthquake early warning information release method based on a 4G telephone terminal. BACKGROUND

[0002] With the frequent occurrence of earthquake disasters, earthquake early warning has become an important means to reduce disaster losses. Existing earthquake early warning technology collects seismic wave data in real time through earthquake monitoring stations, generates early warning information after analysis and processing, and delivers it to users through special equipment, radio and television, and smartphone applications. However, these methods have some problems in practical application, limiting the popularity and response efficiency of early warning.

[0003] Firstly, existing earthquake early warning technology mainly relies on smart devices and fixed communication networks, such as smartphones and network applications. However, in remote areas and places with poor network coverage, the popularity of smart devices is low, resulting in users being unable to receive earthquake early warning information in a timely manner. And most of the existing methods use a single push method, such as SMS or App notification. These methods may cause information transmission delay or loss in network congestion or high concurrency, affecting reliability and timeliness. Especially when an earthquake occurs, the network load increases dramatically, and the timeliness and accuracy of information transmission are greatly compromised, affecting the effectiveness of early warning.

[0004] Secondly, traditional early warning methods have shortcomings in device adaptability and fail to fully consider the needs of different devices. Existing technologies mostly rely on smartphones, but in some areas, non-smartphones, wearable devices, and vehicle systems have high popularity. These devices are not effectively covered, resulting in limited transmission range of early warning information and failing to achieve comprehensive coverage. Many users still use non-smartphones, which cannot receive common early warning information transmission methods, affecting the timely acquisition of early warning information.

[0005] In addition, existing technologies have shortcomings in information push priority and urgency, and fail to flexibly adjust information transmission order and push method according to different early warning levels and urgency. This results in some high-priority earthquake early warning information not being delivered to users in need in time, affecting the effectiveness of emergency response. Existing methods usually use a unified push strategy to handle all early warning information, failing to fully consider the transmission method and order of different early warning levels, especially when a large-scale disaster occurs, the efficiency and accuracy of information transmission are crucial.

[0006] Therefore, how to provide an earthquake early warning information release method based on a 4G telephone terminal is a problem that needs to be solved by those skilled in the art. SUMMARY

[0007] An object of the present application is to provide a seismic early warning information publishing method based on a 4G telephone terminal. The present application combines an improved wavelet transform and a multi-scale hollow convolutional neural network. The improved wavelet transform is used for seismic signal denoising and feature extraction, and the multi-scale hollow convolutional network is used for seismic feature map generation and intensity prediction, thereby ensuring the accuracy and real-time performance of the seismic early warning information. The present application takes advantage of the wide coverage and fast response of the 4G communication network, and builds an information pushing mechanism compatible with multiple terminals and multiple scenarios, which has the advantages of fast response speed, wide coverage, strong adaptability and reliable early warning transmission.

[0008] The seismic early warning information publishing method based on a 4G telephone terminal according to the present application comprises the following steps:

[0009] S1, real-time acquisition of seismic waveform signals, and analysis by a seismic signal processing method to obtain seismic early warning information, wherein the seismic signal processing method introduces an improved wavelet transform and a multi-scale hollow convolutional network;

[0010] S2, real-time transmission of the seismic early warning information to a 4G telephone terminal based on a communication protocol;

[0011] S3, design of an information scheduling strategy at a 4G telephone terminal port to dynamically adjust the transmission order and pushing mode of the seismic early warning information;

[0012] S4, in the case of network congestion or high concurrency, selection of the best information transmission path by an improved least connection algorithm to transmit the seismic early warning information to the 4G telephone terminal;

[0013] S5, design of an intelligent terminal wake-up mechanism to select the pushing mode of the seismic early warning information according to different 4G telephone terminal states;

[0014] S6, after the 4G telephone terminal receives the seismic early warning information, display of emergency measures through a user interaction interface, and optimization of the information publishing strategy according to user feedback;

[0015] S7, during the information publishing process, continuous monitoring of the network operation state, and evaluation and optimization of the information transmission quality.

[0016] Optionally, the step S1 specifically comprises:

[0017] S11, real-time acquisition of seismic waveform signals by a seismic wave monitoring device;

[0018] S12, the seismic signal processing method extracts seismic waveform signals in different magnitude and frequency ranges through improved wavelet transform, generates a seismic feature map through a multi-scale hollow convolutional network, models the time series of the seismic waveform through a bidirectional long short-term memory layer, predicts the seismic intensity value at each time step, and generates a seismic warning information through a fully connected layer from the seismic feature map and the seismic intensity value;

[0019] S13, the seismic warning information includes epicenter location, magnitude, focal depth, seismic wave arrival time, P-wave and S-wave arrival time difference, maximum seismic area, warning level, warning time, predicted seismic wave intensity, post-earthquake impact prediction, and warning information transmission mode, the warning level includes red warning, orange warning, yellow warning, and blue warning.

[0020] Optionally, the improved wavelet transform in step S12 specifically includes:

[0021] S121, obtaining wavelet coefficients through wavelet transform on the seismic waveform signal, and calculating the standard deviation and signal length of the seismic waveform signal;

[0022] S122, calculating the frequency distribution and instantaneous frequency of the seismic waveform signal, and dynamically selecting the decomposition layer number based on the frequency distribution of the seismic signal according to the minimum frequency and the maximum frequency in the seismic signal;

[0023] S123, determining a threshold value according to the standard deviation and signal length of the seismic waveform signal, and performing threshold processing on the wavelet coefficients to filter the wavelet coefficients below the threshold value;

[0024] S124, performing inverse wavelet transform on the threshold-processed wavelet coefficients to reconstruct the denoised seismic waveform signal.

[0025] Optionally, the multi-scale hollow convolutional network in step S12 specifically includes:

[0026] S125, performing signal segmentation and standardization processing on the denoised seismic waveform signal, and converting it into a two-dimensional format to obtain a standardized data set;

[0027] S126, using a three-layer convolutional layer to extract features from the standardized data set, each layer of the convolutional layer inserts a hollow in the convolution kernel to expand the coverage of the convolution kernel, the first layer uses a 3x3 convolution kernel with a hollow rate of 1 to extract local spatiotemporal features, the second layer uses a 5x5 convolution kernel with a hollow rate of 2, and the third layer uses a 7x7 convolution kernel with a hollow rate of 4 to extract global features, and the global features are processed through ReLU activation and average pooling to output a seismic feature map.

[0028] Optionally, step S2 specifically includes:

[0029] S21, the earthquake early warning information is standardized and encoded in JSON format;

[0030] S22, based on the communication protocol, the earthquake early warning information is pushed to the 4G phone terminal in real time through the 4G communication network, the 4G phone terminal includes smart phone, wearable device, vehicle-mounted system and tablet device, the push mode includes short message push, notification push, instant message push, vibration prompt, sound alarm and pop-up window prompt;

[0031] S23, in the information transmission process, the earthquake early warning information is encrypted by using AES symmetric encryption algorithm, and the key length is 192 bits;

[0032] S24, after receiving the earthquake early warning information, the 4G phone terminal decodes according to the preset key, and displays the earthquake early warning information through the 4G phone terminal interface.

[0033] Optionally, the step S3 specifically comprises:

[0034] S31, the information scheduling strategy dynamically adjusts the transmission order and push mode of the earthquake early warning information according to the warning level and the emergency degree, the emergency degree is determined according to the epicenter position, magnitude, focal depth, earthquake wave arrival time, P wave and S wave arrival time difference, maximum seismic area and predicted earthquake wave intensity, the emergency degree is divided into the highest emergency, high emergency, medium emergency and low emergency;

[0035] S32, set priority scheduling function, dynamically calculate the priority of the earthquake early warning information transmission according to the warning level and the emergency degree, and adjust the transmission order and push mode of the earthquake early warning information according to the priority:

[0036] P(t)=Lxw1+Exw2;

[0037] Wherein, P(t) represents the transmission priority, the higher the value, the earlier the transmission order of the earthquake early warning information, L is the corresponding value of the warning level, red warning is 4, orange warning is 3, yellow warning is 2, blue warning is 1, E is the corresponding value of the emergency degree, the highest emergency is 4, high emergency is 3, medium emergency is 2, low emergency is 1, w1 and w2 are weight coefficients, different weights are set according to actual demand;

[0038] S33, according to the information transmission priority, the user corresponding to red warning + highest emergency is transmitted most preferentially, the push mode of forced wake-up, vibration prompt and sound alarm is adopted, the user corresponding to blue warning + low emergency is transmitted last, the push mode of short message push, pop-up window prompt and notification push is adopted, and the transmission order of other users is sorted and transmitted according to the obtained information transmission priority.

[0039] Optionally, the step S4 specifically comprises:

[0040] S41, real-time monitoring of network traffic, bandwidth usage, device load and network node state, multi-dimensional load evaluation is performed on each network path, the multi-dimensions include bandwidth, delay, load, reliability, network quality, path availability and load balancing capability;

[0041] S42, according to the load evaluation result, the improved least connection algorithm is used to select the optimal transmission path, the improved least connection algorithm introduces the available bandwidth, delay and network quality evaluation index, and selects the transmission path with the minimum network delay and the maximum available bandwidth as the best information transmission path;

[0042] S43, after selecting the best information transmission path, the delivery order is adjusted according to the information delivery priority of the earthquake early warning information, and the high-priority earthquake early warning information is transmitted through the best information transmission path.

[0043] Optionally, the step S5 specifically comprises:

[0044] S51, the intelligent terminal wake-up mechanism is realized by SIM card level push, dedicated channel broadcast and network level push;

[0045] S52, the 4G phone terminal state includes standby state, lock screen state, low power state, no signal state and completely closed state;

[0046] S53, through the SIM card level push, when the 4G phone terminal is in standby state or lock screen state, the wake-up instruction is sent to the SIM card, and the 4G phone terminal receives the early warning information;

[0047] S54, through the dedicated channel broadcast, when the 4G phone terminal is in no signal state and completely closed state, the early warning information is broadcast to all accessible terminals;

[0048] S55, through the network level push, when the 4G phone terminal is in standby state, lock screen state or no signal state, the wake-up instruction is sent to the 4G phone terminal through the network infrastructure.

[0049] Optionally, the step S6 specifically comprises: the emergency measures include post-disaster action suggestions, shelter locations, emergency contact numbers, escape routes, first aid measures and protective equipment suggestions;

[0050] The user feedback includes: whether the user confirms to receive the early warning information, whether to perform emergency response, whether to need more information or guidance, emotional feedback of the user and whether the user has further security requirements;

[0051] Optimize the information publishing strategy according to user feedback, specifically including adjusting the push method, delivery priority and order, while monitoring and evaluating the optimized information publishing strategy in real time, and continuously adjusting based on user feedback.

[0052] The beneficial effects of the present application are:

[0053] Firstly, the present application realizes efficient denoising and accurate feature extraction of seismic signals by combining improved wavelet transform and multi-scale dilated convolution neural network. The improved wavelet transform can effectively remove the noise in the seismic waveform, and through the multi-scale dilated convolution neural network, the spatio-temporal features in the seismic signal can be captured, significantly improving the prediction accuracy and real-time performance of the early warning information. Secondly, the present application relies on the advantages of 4G communication network and constructs an efficient information scheduling strategy. The 4G communication network has a wider coverage and faster response speed, and can quickly deliver earthquake warning information to user terminals in emergency situations. The proposed information scheduling strategy supports multiple 4G phone terminals and can flexibly adjust the information delivery method according to different scenarios and device states to ensure that information can be widely and reliably covered to all kinds of users. In addition, the present application dynamically adjusts the information delivery order and method according to the urgency of the information and the warning level. This push strategy can ensure that high-priority earthquake warning information is delivered to users who need timely response first, and through appropriate push methods, it ensures the timely arrival of information. In summary, the present application combines signal processing technology and communication network to solve the limitations of traditional earthquake warning methods in device adaptability, information delivery delay, narrow device coverage and network congestion, significantly improving the delivery efficiency and accuracy of warning information, and ensuring that earthquake warning information is delivered to the general public in a timely and reliable manner in various environments, with significant practical application effect. BRIEF DESCRIPTION OF DRAWINGS

[0054] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, to explain the present application, and do not constitute a limitation of the present application. In the drawings:

[0055] Fig. 1 is a schematic diagram of the earthquake warning information publishing method based on 4G phone terminals proposed by the present application;

[0056] Fig. 2 is a flow chart of the seismic signal processing method in the present application;

[0057] Fig. 3 is a flow chart of the information scheduling and push process in the present application. DETAILED DESCRIPTION

[0058] The application will be described in further detail below with reference to the drawings. These drawings are simplified schematic diagrams and only show the basic structure of the application in a schematic manner, and thus only show the components relevant to the application.

[0059] Reference Figs. 1-3 The earthquake early warning information publishing method based on a 4G telephone terminal comprises the following steps:

[0060] S1, real-time acquisition of seismic waveform signals and analysis through a seismic signal processing method to obtain earthquake early warning information, wherein the seismic signal processing method introduces an improved wavelet transform and a multi-scale hollow convolution network;

[0061] S2, real-time transmission of the earthquake early warning information to the 4G telephone terminal based on a communication protocol;

[0062] S3, design of an information scheduling strategy at the 4G telephone terminal port to dynamically adjust the earthquake early warning information transmission sequence and the push mode;

[0063] S4, in the case of network congestion or high concurrency, the best information transmission path is selected through an improved least connection algorithm to transmit the earthquake early warning information to the 4G telephone terminal;

[0064] S5, design of an intelligent terminal wake-up mechanism to select the push mode of the earthquake early warning information according to different 4G telephone terminal states;

[0065] S6, after the 4G telephone terminal receives the earthquake early warning information, emergency measures are displayed through a user interaction interface, and the information publishing strategy is optimized according to user feedback;

[0066] S7, in the information publishing process, the network operation state is continuously monitored, and the information transmission quality is evaluated and optimized.

[0067] In this embodiment, the step S1 specifically comprises:

[0068] S11, real-time acquisition of seismic waveform signals through a seismic wave monitoring device;

[0069] S12, the seismic signal processing method extracts seismic waveform signals in different magnitude and frequency ranges through an improved wavelet transform, generates a seismic feature map through a multi-scale hollow convolution network, models the time series of the seismic waveform through a bidirectional long short-term memory layer, predicts the earthquake intensity value at each time step, and generates the earthquake early warning information through a full connection layer from the seismic feature map and the earthquake intensity value;

[0070] In the present application, the seismic signal processing method can efficiently process seismic waveform signals, extract multi-scale spatio-temporal features, accurately predict earthquake intensity, and generate detailed earthquake warning information by combining improved wavelet transform, multi-scale hollow convolution network, bidirectional long short-term memory network and full connection layer. The improved wavelet transform denoising and feature extraction ensures the clarity of the signal, the multi-scale hollow convolution network improves the capture ability of complex seismic waveform features, the bidirectional LSTM enhances the accuracy of time series modeling, and the full connection layer integrates the extracted features to generate earthquake warning information. Through this method, high-precision, real-time and reliable earthquake warning can be realized, ensuring that earthquake information is timely and accurately transmitted to users, effectively reducing disaster losses.

[0071] S13, the earthquake warning information includes epicenter position, magnitude, focal depth, seismic wave arrival time, P-wave and S-wave arrival time difference, maximum seismic area, warning level, warning time, predicted seismic wave intensity, post-earthquake impact prediction and warning information transmission mode, the warning level includes red warning, orange warning, yellow warning and blue warning.

[0072] In the present embodiment, the improved wavelet transform in step S12 specifically includes:

[0073] S121, the wavelet coefficients of the seismic waveform signal are obtained by wavelet transform, and the standard deviation and signal length of the seismic waveform signal are calculated;

[0074] S122, the frequency distribution and instantaneous frequency of the seismic waveform signal are calculated, the decomposition layer number is dynamically selected based on the frequency distribution of the seismic signal according to the minimum frequency and maximum frequency in the seismic signal, assuming that the frequency distribution of the seismic waveform signal is F(ω), then the decomposition layer number L is:

[0075]

[0076] Wherein, N represents different candidate decomposition layer numbers, f min is the minimum frequency in the seismic signal, f max is the maximum frequency in the seismic signal;

[0077] In the present application, if the frequency range of the seismic waveform signal is large, the decomposition layer number is large, which facilitates accurate analysis of the characteristics of the seismic waveform signal in each frequency band.

[0078] S123, the threshold value is determined according to the standard deviation and signal length of the seismic waveform signal, and the wavelet coefficients are threshold processed to filter the wavelet coefficients below the threshold value;

[0079]

[0080] Wherein, σ is the standard deviation of the seismic waveform signal, and N represents the signal length.

[0081] S124, the threshold processed wavelet coefficient is inverse wavelet transformed to reconstruct the denoised seismic waveform signal.

[0082] In the application, the improved wavelet transform is based on the traditional wavelet transform, which can more accurately extract the key features of the seismic waveform signal and effectively remove the noise by optimizing the decomposition layer selection and dynamic threshold adjustment. First, in terms of the number of decomposition layers, the traditional wavelet transform usually uses a fixed number of layers for signal decomposition, while the improved wavelet transform dynamically selects the most suitable decomposition layer number by calculating the frequency distribution and instantaneous frequency of the seismic signal. The decomposition layer number is adjusted according to the minimum frequency and maximum frequency in the seismic signal, so that signals of different magnitudes and frequency ranges can be extracted more finely, improving the adaptability and accuracy of signal processing. Second, the threshold of the traditional wavelet transform is usually fixed and cannot adapt to the characteristics of different signals. In the application, the improved wavelet transform dynamically calculates the threshold by combining the standard deviation and signal length of the seismic waveform signal, processes the wavelet coefficients, filters out the wavelet coefficients below the threshold, removes irrelevant noise, retains the effective information in the seismic waveform signal, significantly reduces noise interference, and thus improves the accuracy of signal processing and enhances the reliability and real-time performance of the earthquake warning information.

[0083] In the embodiment, the multi-scale hollow convolutional network in step S12 specifically includes:

[0084] S125, the denoised seismic waveform signal is subjected to signal segmentation and standardization processing, and is converted into a two-dimensional format to obtain a standardized data set;

[0085] S126, a three-layer convolutional layer is used to extract features from the standardized data set, each layer of the convolutional layer inserts a hollow in the convolutional kernel to expand the coverage of the convolutional kernel, the first layer uses a 3x3 convolutional kernel with a hollow rate of 1 to extract local spatiotemporal features, the second layer uses a 5x5 convolutional kernel with a hollow rate of 2, and the third layer uses a 7x7 convolutional kernel with a hollow rate of 4 to extract global features. The global features are processed through ReLU activation and average pooling to output a seismic feature map, and the hollow convolution process is as follows:

[0086]

[0087] wherein N represents the number of elements in the convolutional kernel, d represents the hollow rate, W i represents the convolutional kernel weight, and X(t) represents the input standardized data.

[0088] In the application, the multi-scale hollow convolutional network adopts different sizes of convolution kernels and hollow rates, which can capture local features, large range features and global features of signals at multiple levels. By inserting a hollow in the convolution kernel, the receptive field of the convolution kernel is expanded, thereby effectively capturing the long-time span dependence in the seismic signal and avoiding the information loss caused by the pooling layer. This method not only improves the processing capacity of the seismic signal, but also enhances the efficiency and accuracy of feature extraction.

[0089] In the embodiment, the step S2 specifically comprises:

[0090] S21, the earthquake early warning information is standardized and encoded in JSON format;

[0091] S22, based on the communication protocol, the earthquake early warning information is pushed to the 4G phone terminal in real time through the 4G communication network, the 4G phone terminal includes a smart phone, a wearable device, a vehicle-mounted system and a tablet device, and the pushing mode includes SMS pushing, notification pushing, instant message pushing, vibration prompt, sound alarm and pop-up window prompt;

[0092] S23, in the information transmission process, the earthquake early warning information is encrypted by using the AES symmetric encryption algorithm, and the key length is 192 bits;

[0093] S24, after the 4G phone terminal receives the earthquake early warning information, the earthquake early warning information is decoded according to the preset key, and the earthquake early warning information is displayed through the 4G phone terminal interface.

[0094] In the embodiment, the step S3 specifically comprises:

[0095] S31, the information scheduling strategy dynamically adjusts the transmission order and pushing mode of the earthquake early warning information according to the warning level and the emergency degree, the emergency degree is determined according to the epicenter position, the magnitude, the focal depth, the seismic wave arrival time, the P wave and S wave arrival time difference, the maximum seismic area and the predicted seismic wave intensity, and the emergency degree is divided into the highest emergency, high emergency, medium emergency and low emergency;

[0096] S32, a priority scheduling function is set, the priority of the earthquake early warning information transmission is dynamically calculated according to the warning level and the emergency degree, and the transmission order and pushing mode of the earthquake early warning information are adjusted according to the priority:

[0097] P(t)=L×w1+E×w2;

[0098] Wherein, P(t) represents the delivery priority, the higher the value, the earlier the earthquake warning information delivery sequence, L is the warning level corresponding value, red warning is 4, orange warning is 3, yellow warning is 2, blue warning is 1, E is the emergency degree corresponding value, the highest emergency is 4, high emergency is 3, medium emergency is 2, low emergency is 1, w1 and w2 are weight coefficients, different weights are set according to actual demand;

[0099] S33, according to the information delivery priority, the user corresponding to red warning + highest emergency is delivered most preferentially, the push mode of forced wake-up, vibration prompt and sound alarm is adopted, the user corresponding to blue warning + low emergency is delivered lastly, the push mode of short message push, pop-up window prompt and notification push is adopted, and the delivery sequence of other users is delivered according to the obtained information delivery priority.

[0100] In the application, the information scheduling strategy dynamically adjusts the delivery sequence and push mode of information according to the emergency degree and warning level of earthquake warning information, ensures that the most important and most urgent warning information can be delivered to the most needed users preferentially. The information scheduling strategy sets a priority scheduling function, calculates the delivery priority according to the warning level and emergency degree, and reasonably arranges the push sequence of information. When an earthquake occurs, epicenter location, magnitude, focal depth and predicted seismic wave intensity will affect the emergency degree of warning information, thereby determining the push sequence of information. The information scheduling strategy ensures that the earthquake warning information with high priority is delivered first, and the forced wake-up, vibration prompt and sound alarm are used to ensure that the information is conveyed to the users in time. For the areas with low emergency degree, short message push, pop-up window prompt and other methods are used for delivery, which avoids resource waste and ensures that information can cover all users. Through priority sorting and appropriate push mode, the application can improve the efficiency and accuracy of information delivery, and ensure that users can obtain key information and respond in time in the shortest time when an earthquake occurs.

[0101] For example, when an earthquake occurs, assuming the epicenter is located in city A, the magnitude is 7.5, and the focal depth is 10 kilometers, the seismic wave will reach city B after 10 minutes. For areas close to the epicenter and posing a greater threat, such as city A and its surroundings, a push mode of forced wake-up, vibration prompt, and sound alarm will be used to prioritize the delivery of red alerts and users corresponding to the highest urgency, ensuring that users respond in a timely manner. For city C, which is farther away from the epicenter, although the warning level may also be red, due to the lower urgency, it will be delivered through vibration prompts, sound alarms, or pop-up reminders. For city D, which is even farther away from the epicenter and the seismic wave takes a longer time to arrive, its warning information is set to yellow and medium urgency, and it is notified through pop-up reminders, SMS push, and notification push. Finally, for city E, which is the farthest from the epicenter and the seismic wave intensity is low, it is set to blue and low urgency, and it is delivered through SMS push, pop-up reminders, and notification push. Through information scheduling strategies, the most urgent and threatening earthquake warning information can be delivered to the users who need it most in a timely manner, and other users in different areas will receive the warning information according to their location and urgency, effectively disseminating earthquake warning information.

[0102] In the embodiment, the step S4 specifically comprises:

[0103] S41, real-time monitoring of network traffic, bandwidth usage, device load, and network node status, multi-dimensional load evaluation of each network path, including bandwidth, delay, load, reliability, network quality, path availability, and load balancing capability;

[0104] S42, according to the load evaluation result, the improved least connection algorithm is used to select the optimal transmission path, the improved least connection algorithm introduces the available bandwidth, delay, and network quality evaluation index, selects the transmission path with the smallest network delay and the largest available bandwidth as the best information transmission path:

[0105]

[0106] wherein, P path represents the priority of the transmission path, the higher the value, the higher the priority of the path, B available is the available bandwidth of the current path, C load is the load of the current path, D delay is the delay of the current path, W weight represents the weight of the path, adjusted according to network quality and reliability;

[0107] In the present application, the traditional least connection algorithm only considers the number of connections and fails to fully evaluate factors such as bandwidth, delay and quality of the network, which may lead to delay or loss of information transmission under high load or network congestion. The improved least connection algorithm introduces evaluation indexes of available bandwidth, delay and network quality, and preferentially selects the path with the smallest delay, the largest bandwidth and the best network quality, thereby ensuring efficient and stable transmission of information.

[0108] S43, after selecting the optimal information transmission path, the transmission order is adjusted according to the information transmission priority of the earthquake warning information, and the earthquake warning information with high priority is transmitted through the optimal information transmission path.

[0109] For example, an earthquake occurs in a certain area, the epicenter is located in city A, the magnitude is 7.5, the focal depth is 15 kilometers, and the seismic wave is expected to reach city B in 10 minutes. The warning level of city A and city B is red warning, and the emergency level is the highest emergency. The present application evaluates multiple possible transmission paths by monitoring network traffic, bandwidth usage and device load information in real time. The bandwidth of path 1 is 10 Mbps, the load is 50%, the delay is 30 ms, and the network quality score is 0.8; the bandwidth of path 2 is 15 Mbps, the load is 70%, the delay is 20 ms, and the network quality score is 0.9; the bandwidth of path 3 is 20 Mbps, the load is 80%, the delay is 50 ms, and the network quality score is 0.7. Through the improved least connection algorithm, the priority of each path is calculated comprehensively, and path 2 is preferentially selected as the optimal information transmission path because it has the best bandwidth, delay and network quality. Subsequently, the present application adjusts the transmission order according to the priority of the earthquake warning information, and first transmits the red warning + highest emergency earthquake warning information to city A and city B near the epicenter through path 2, ensuring that the information is transmitted to the users who need it most in time and avoiding the impact of network congestion or delay on information transmission.

[0110] In the present embodiment, the step S5 specifically comprises:

[0111] S51, the intelligent terminal wake-up mechanism is realized by SIM card level push, dedicated channel broadcast and network level push;

[0112] S52, the 4G phone terminal state includes standby state, lock screen state, low power state, no signal state and completely closed state;

[0113] S53, through the SIM card level push, when the 4G phone terminal is in standby state or lock screen state, a wake-up instruction is sent to the SIM card to activate the 4G phone terminal to receive warning information;

[0114] S54, broadcast through a dedicated channel, when the 4G phone terminal is in a signal-free state and a completely closed state, broadcast the early warning information to all accessible terminals;

[0115] S55, push through the network level, when the 4G phone terminal is in a standby state, a lock screen state or a signal-free state, send a wake-up instruction to the 4G phone terminal through the network infrastructure.

[0116] For example, an earthquake occurs in a certain area, the epicenter is located in A city, the magnitude is 7.5, the focal depth is 15 kilometers, and the seismic wave is expected to reach B city in 10 minutes. The early warning level of A city and B city is red warning, and the emergency level is the highest emergency. In order to ensure that all users can receive the earthquake early warning information in time, the present application adopts the corresponding wake-up mechanism according to the state of different 4G phone terminals. When the 4G phone terminal of a certain user is in a standby or lock screen state, the present application sends a wake-up instruction to the SIM card through the SIM card level push to activate the terminal and ensure that the earthquake early warning information can be received; if the 4G phone terminal is in a signal-free or completely closed state, the early warning information is broadcast to all accessible terminals through a dedicated channel broadcast, ensuring that the earthquake early warning information can be delivered to the user; for the 4G phone terminal in standby, lock screen or signal-free state, the wake-up instruction is sent to the terminal through the network level push, and the network infrastructure is used to activate the device and ensure that the earthquake early warning information can be received. Through the intelligent terminal wake-up mechanism, even in various inactive or signal-free conditions, the user can obtain the earthquake early warning information in the first time.

[0117] In the embodiment, the step S6 specifically comprises that the emergency measures include post-disaster action suggestions, shelter locations, emergency contact numbers, escape routes, first aid measures and protective equipment suggestions;

[0118] The user feedback includes whether the user confirms to receive the early warning information, whether to perform the emergency response, whether to need more information or guidance, the emotional feedback of the user and whether the user has further safety needs;

[0119] According to the user feedback, the information release strategy is optimized, specifically including adjusting the push mode, the delivery priority and the order, and at the same time, the optimized information release strategy is monitored and evaluated in real time, and the continuous adjustment is carried out based on the user feedback.

[0120] Embodiment 1:

[0121] In order to verify the practical application effect of the present application, the present application is applied to the implementation of a certain earthquake early warning, especially for the transmission of earthquake early warning information in a high-density population area. The area is densely populated, and timely transmission of earthquake early warning information is crucial to reducing disaster losses. There are problems of network congestion, high concurrent access and terminal device adaptability in this area, and the existing early warning method cannot ensure that all users can accurately receive the early warning information in the shortest time, especially in the event of a strong earthquake. The traditional early warning method often leads to information transmission delay due to excessive network load, thereby affecting the efficiency of emergency response.

[0122] In the implementation process, first, the seismic waveform signal is collected in real time by the seismic monitoring equipment, and the improved wavelet transform in the present application is used for denoising and feature extraction. Through the improved wavelet transform, the noise in the seismic waveform signal is effectively removed. The denoised seismic waveform signal is subjected to feature extraction by a multi-scale hollow convolution network, capturing multi-level features from local to global, and generating a seismic feature map. A bidirectional long short-term memory network is used to model the time series of the seismic signal, predict the earthquake intensity, and generate earthquake early warning information.

[0123] Based on the generated earthquake early warning information, the transmission order and push mode are dynamically adjusted through an information scheduling strategy. Specifically, first, the users corresponding to red alerts and the highest urgency are taken as the most priority transmission objects, and the push mode of forced wake-up, vibration prompt and sound alarm is adopted. For areas with lower emergency level, the push mode of SMS and pop-up window reminder is adopted to ensure that the information can cover more users. In order to ensure real-time transmission of the early warning information, an improved minimum connection algorithm is used to select the information transmission path, which considers the factors of bandwidth, delay and network quality, selects the path with the smallest network delay, the largest bandwidth and the best network quality, thereby ensuring that the transmitted information is not affected by network congestion.

[0124] In order to further verify the practical application effect of the present application, the present application method is compared with the traditional earthquake early warning method. The traditional earthquake early warning method relies on real-time collection of seismic wave data by seismic monitoring stations, transmits the data to the central processing system through the seismograph, generates early warning information after processing, and transmits it to the public through broadcast, SMS or internet application. These traditional methods may cause information transmission delay or fail to cover all users in the case of network congestion, poor device adaptability and limited regional coverage, especially in the event of a large-scale earthquake, the high load of the traditional method will affect the real-time and reliability of the information. Table 1 shows the comparison results of the traditional early warning method and the present application method after implementation.

[0125] Table 1 Comparison of the present application method and the traditional earthquake early warning method

[0126]

[0127] From the data in Table 1, it can be seen that the present application is obviously superior to the traditional earthquake early warning method in various key performance indicators, especially in the success rate of high emergency information transmission and the success rate of information transmission under high concurrency, the present application performs well, the success rates are 100% and 95% respectively, while the success rates of the traditional earthquake early warning method under these conditions are much lower than those of the present application. In terms of information transmission delay, network congestion transmission delay and push method adaptability, the present application also has significant advantages, ensuring real-time transmission and efficient push of earthquake early warning information, greatly improving the response capability of the system. In terms of multi-terminal device adaptability, the present application can adapt to more types of 4G phone terminals, such as smart phones, wearable devices, vehicle-mounted systems, and can still maintain low delay and low packet loss rate under high load conditions, ensuring that different users can receive early warning information in time. In contrast, the traditional method performs poorly in device adaptability, with only a 78% success rate of push method, while the present application reaches 98%.

[0128] In summary, the present application is significantly superior to the traditional technology in timeliness, reliability, adaptability and performance under high concurrency and network congestion in earthquake early warning information transmission, can effectively improve the overall performance of the earthquake early warning system, and ensure that information can be transmitted to the users who need it most in time and accurately.

[0129] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can make equivalent replacement or change within the technical range disclosed by the present application according to the technical solution and inventive concept of the present application, which should be covered within the protection scope of the present application.

Claims

1. A method for issuing earthquake early warning information based on a 4G telephone terminal, characterized by, It comprises the following steps: S1, real-time acquisition of seismic waveform signals, and analysis by a seismic signal processing method to obtain earthquake warning information, the seismic signal processing method introduces an improved wavelet transform and a multi-scale hollow convolution network; S2, real-time transmission of earthquake warning information to 4G phone terminals based on a communication protocol; S3, designing an information dispatch strategy at the 4G phone terminal port, dynamically adjusting the earthquake warning information transmission order and push mode; S4, in the case of network congestion or high concurrency, selecting the best information transmission path through an improved least connection algorithm to transmit earthquake warning information to 4G phone terminals; S5, designing an intelligent terminal wake-up mechanism, selecting the push mode of earthquake warning information for different 4G phone terminal states; S6, after the 4G phone terminal receives the earthquake warning information, displaying emergency measures through a user interaction interface, and optimizing the information release strategy according to user feedback; S7, during the information release process, continuously monitoring the network running state and evaluating and optimizing the information transmission quality.

2. The earthquake early warning information distribution method based on a 4G phone terminal according to claim 1, characterized by, The step S1 specifically comprises: S11, real-time acquisition of seismic waveform signals by a seismic wave monitoring device; S12, the seismic signal processing method extracts seismic waveform signals in different magnitude and frequency ranges through an improved wavelet transform, generates a seismic feature map through a multi-scale hollow convolution network, models the time series of the seismic waveform through a bidirectional long short-term memory layer, predicts the earthquake intensity value at each time step, and generates the earthquake warning information through a fully connected layer from the seismic feature map and the earthquake intensity value; S13, the earthquake warning information includes epicenter location, magnitude, focal depth, seismic wave arrival time, P-wave and S-wave arrival time difference, maximum seismic area, warning level, warning time, predicted earthquake wave intensity, post-earthquake impact prediction, and warning information transmission mode, the warning level includes red warning, orange warning, yellow warning, and blue warning.

3. The earthquake early warning information distribution method based on a 4G telephone terminal according to claim 2, characterized by, The improved wavelet transform in step S12 specifically comprises: S121, obtaining wavelet coefficients through wavelet transform of the seismic waveform signal, and calculating the standard deviation and signal length of the seismic waveform signal; S122, calculating the frequency distribution and instantaneous frequency of the seismic waveform signal, dynamically selecting the decomposition layer number based on the frequency distribution of the seismic signal according to the minimum frequency and maximum frequency in the seismic signal; S123, determining the threshold value according to the standard deviation and signal length of the seismic waveform signal, and performing threshold processing on the wavelet coefficients to filter the wavelet coefficients below the threshold value; S124, inverse wavelet transform of the threshold-processed wavelet coefficients to reconstruct the denoised seismic waveform signal.

4. The earthquake early warning information distribution method based on a 4G telephone terminal according to claim 2, characterized by, The multi-scale hollow convolution network in step S12 specifically comprises: S125, signal segmentation and standardization processing of the denoised seismic waveform signal, and conversion to a two-dimensional format to obtain a standardized data set; S126, the standardized data set is extracted by using three layers of convolution layers, each layer of convolution layer expands the coverage of the convolution kernel by inserting a hole in the convolution kernel, the first layer uses a 3*3 convolution kernel, the hole rate is 1, the local space-time feature is extracted, the second layer uses a 5*5 convolution kernel, the hole rate is 2, the third layer uses a 7*7 convolution kernel, the hole rate is 4, the global feature is extracted, and the global feature is processed by ReLU activation and average pooling, and the seismic feature map is output.

5. The earthquake early warning information distribution method based on a 4G phone terminal according to claim 1, characterized by, The step S2 specifically comprises: S21, the earthquake warning information is standardized and encoded in JSON format; S22, based on the communication protocol, the earthquake warning information is pushed to the 4G phone terminal in real time through the 4G communication network, the 4G phone terminal includes smart phones, wearable devices, vehicle-mounted systems and tablet devices, the push mode includes SMS push, notification push, instant message push, vibration prompt, sound alarm and pop-up window prompt; S23, in the information transmission process, the earthquake warning information is encrypted by using the AES symmetric encryption algorithm, and the key length is 192 bits; S24, after the 4G phone terminal receives the earthquake warning information, the earthquake warning information is decoded according to the preset key, and the earthquake warning information is displayed through the 4G phone terminal interface.

6. The earthquake early warning information distribution method based on a 4G phone terminal according to claim 1, characterized by, The step S3 specifically comprises: S31, the information scheduling strategy dynamically adjusts the transmission order and push mode of the earthquake warning information according to the warning level and the emergency degree, the emergency degree is determined according to the epicenter position, the magnitude, the focal depth, the seismic wave arrival time, the P wave and S wave arrival time difference, the maximum seismic area and the predicted seismic wave intensity, and the emergency degree is divided into the highest emergency, the high emergency, the medium emergency and the low emergency; S32, a priority scheduling function is set, the priority of the earthquake warning information transmission is dynamically calculated according to the warning level and the emergency degree, and the transmission order and the push mode of the earthquake warning information are adjusted according to the priority: P(t)=L×w1+E×w2; Wherein, P(t) represents the transmission priority, the higher the value, the earlier the transmission order of the earthquake warning information, L is the corresponding value of the warning level, the red warning is 4, the orange warning is 3, the yellow warning is 2, and the blue warning is 1, E is the corresponding value of the emergency degree, the highest emergency is 4, the high emergency is 3, the medium emergency is 2, and the low emergency is 1, w1 and w2 are weight coefficients, different weights are set according to actual needs; S33, according to the information transmission priority, the user corresponding to the red warning+the highest emergency is transmitted most preferentially, the push mode of forced wake-up, vibration prompt and sound alarm is used, the user corresponding to the blue warning+the low emergency is transmitted last, the push mode of SMS push, pop-up window prompt and notification push is used, and the transmission order of other users is sorted according to the obtained information transmission priority.

7. The earthquake early warning information distribution method based on a 4G phone terminal according to claim 1, characterized by, The step S4 specifically comprises: S41, real-time monitoring of network traffic, bandwidth usage, device load and network node state, multi-dimensional load evaluation is performed on each network path, the multi-dimension includes bandwidth, delay, load, reliability, network quality, path availability and load balancing capability; S42, according to the load evaluation result, the optimal transmission path is selected by using the improved least connection algorithm, the improved least connection algorithm introduces the available bandwidth, delay and network quality evaluation index, the transmission path with the minimum network delay and the maximum available bandwidth is selected as the best information transmission path; S43, after selecting the best information transmission path, the delivery order is adjusted according to the information delivery priority of the earthquake early warning information, and the earthquake early warning information with high priority is transmitted through the best information transmission path.

8. The earthquake early warning information distribution method based on a 4G phone terminal according to claim 1, characterized by, The step S5 specifically comprises: S51, the intelligent terminal wake-up mechanism is realized by SIM card level push, dedicated channel broadcast and network level push; S52, the 4G phone terminal state includes standby state, lock screen state, low power state, no signal state and complete shutdown state; S53, by SIM card level push, when the 4G phone terminal is in standby state or lock screen state, send wake-up instruction to SIM card to activate 4G phone terminal to receive early warning information; S54, by dedicated channel broadcast, when the 4G phone terminal is in no signal state and complete shutdown state, broadcast the early warning information to all accessible terminals; S55, by network level push, when the 4G phone terminal is in standby state, lock screen state or no signal state, send wake-up instruction to 4G phone terminal through network infrastructure.

9. The earthquake early warning information distribution method based on a 4G phone terminal according to claim 1, characterized by, The step S6 specifically comprises: the emergency measures include post-disaster action suggestion, shelter location, emergency contact number, escape route, first aid measures and protective equipment suggestion; The user feedback includes: whether the user confirms to receive the early warning information, whether to execute the emergency response, whether to need more information or guidance, the emotional feedback of the user and whether the user has further security requirements; According to the user feedback, the information release strategy is optimized, which specifically includes adjusting the push mode, delivery priority and order, and at the same time, the optimized information release strategy is monitored and evaluated in real time, and based on the user feedback, the continuous adjustment is carried out.

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