Geological disaster monitoring and early warning system based on mobile phone mobile terminal APP

Abstract

The invention discloses a geological disaster monitoring and early warning system based on a mobile phone terminal APP, which relates to the technical field of disaster monitoring and comprises an environment early warning terminal, an electric quantity early warning terminal and a disaster early warning terminal. The environment early warning end is used for judging whether the area causes risks to human bodies or not and judging whether environment parameters are harmful to the human bodies or not according to environment evaluation; the electric quantity early warning end is used for displaying and reminding whether the commonly-used APP has a new state or new message reminding or not, and performing electric quantity supply according to the environment where the commonly-used APP is located; and the disaster early warning end is used for carrying out geological disaster monitoring early warning analysis according to the geological parameters, judging whether a geological disaster early warning signal exists, automatically generating an early warning decision, and dynamically adjusting an early warning decision optimization scheme according to a real-time environment. According to the geological disaster monitoring and early warning system based on the mobile phone mobile terminal APP, risk assessment is carried out on the environment of the area where the system is located in time, the practicability of the mobile phone APP in a severe environment is met, and an early warning decision can be made in advance and dynamically and timely adjusted.

Description

Technical Field

[0001] This invention relates to the field of disaster monitoring technology, and in particular to a geological disaster monitoring and early warning system based on a mobile app. Background Technology

[0002] Geological disaster monitoring and early warning based on mobile phone apps is essentially a new disaster prevention and mitigation model that utilizes the widespread use of smartphones, their built-in sensors, and network communication capabilities to collect, analyze, and disseminate early warning information about geological disasters. Each phone with the app installed is treated as a monitoring node. Through background algorithms, the system fuses and analyzes massive amounts of anonymous sensor data (such as vibration and location) uploaded by nodes to identify potential geological disaster signals from noise. When the system detects a danger signal, it issues an early warning to all users in the danger zone via app push notifications, SMS messages, and other means.

[0003] Currently, with the rapid development of science and technology, there are some shortcomings in geological disaster monitoring and early warning based on mobile phone apps: 1. Due to the varying harm and impacts of geological environments on the human body in different regions, mobile phones cannot timely assess the risks of the local environment when monitoring geological disasters, and cannot issue early warnings, potentially leading to risks for people unfamiliar with the geological area; 2. Mobile phone apps generally require the phone to have power or be turned on to function properly. When the phone's battery is low or it is turned off, the geological disaster monitoring and early warning system cannot operate normally, resulting in limitations in its use and failing to meet the practicality requirements of mobile phone apps in harsh environments; 3. Earthquake artifacts are prone to occur during geological disaster monitoring, reducing the accuracy of disaster monitoring and causing deviations in disaster warnings from mobile phone apps. Furthermore, it is impossible to make early warning decisions and adjust them dynamically before a geological disaster occurs, further affecting the efficiency and reliability of geological disaster monitoring and early warning.

[0004] Therefore, a geological disaster monitoring and early warning system based on a mobile app is proposed to solve the above problems. Summary of the Invention The main objective of this invention is to provide a geological disaster monitoring and early warning system based on a mobile app, in order to solve the problems mentioned in the background above.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: a geological disaster monitoring and early warning system based on a mobile phone APP, including an environmental early warning terminal, a power supply early warning terminal, and a disaster early warning terminal, wherein the environmental early warning terminal, the power supply early warning terminal, and the disaster early warning terminal are all equipped with a voice reminder module; The environmental early warning terminal is used to perform risk analysis on the area where the mobile phone is located, determine whether the area poses a risk to the human body, and determine whether environmental parameters pose a hazard to the human body based on environmental assessment. When environmental parameters pose a hazard to the human body, a map is generated in a timely manner to guide the mobile phone user to evacuate in an emergency. The power warning terminal is used to automatically send a power warning signal through the mobile phone and automatically adjust to power saving mode. When the power consumption reaches the warning minimum power consumption, it automatically shuts down and turns on the clock timer to display and remind users of frequently used apps whether there are new statuses or new message reminders, and replenishes power according to the environment. The disaster early warning terminal is used to monitor whether there are artifact data in geological vibration in real time, and to perform geological disaster monitoring and early warning analysis based on geological parameters to determine whether there is a geological disaster early warning signal. It enables data exchange between the mobile APP and the geological disaster monitoring and early warning analysis port, and automatically generates early warning decisions. It also dynamically adjusts the early warning decision optimization scheme according to the real-time environment. The voice alert module is used to issue voice alerts, send text messages, make phone calls, or provide map navigation pages to remind people to evacuate when the area poses a risk to human health, environmental parameters cause harm to human health, mobile phone battery usage reaches warning levels, geological vibrations produce artifact data, or geological disaster warning signals are present.

[0006] Preferably, the environmental early warning terminal includes a mobile phone positioning module, an environmental monitoring module, and an impact early warning module; The mobile phone positioning module includes a regional positioning unit and a regional risk unit; The area positioning unit is used to locate the area where the mobile phone is located in real time through GPS positioning software, and obtain the real-time location of the mobile phone user. The regional risk unit is used to conduct risk analysis on the area where the mobile phone is located. It collects basic data of the area through surrounding projects, including PM2.5 / PM10 (inhalable particulate matter), sulfur dioxide, nitrogen oxides, ozone, carbon monoxide, volatile organic compounds (formaldehyde, benzene), heavy metals (lead, mercury, cadmium), bacteria / viruses, nitrates, pesticide residues, noise and radiation. The risk of the area is judged based on the basic data. Set a risk threshold (the risk threshold is variable and can be set according to actual needs, and can be formulated with reference to the parameter risk standards of the uninhabited area). If the risk value is greater than or equal to the risk threshold, it is determined that there is a risk to human beings in the area, and the system is reported to issue a danger alarm reminder for the area. Otherwise, it is determined that there is no risk to human beings in the area.

[0007] The environmental monitoring module includes an environmental monitoring unit and an environmental assessment unit; The environmental monitoring unit is used to detect environmental parameters in the area in real time through earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors. The environmental assessment unit is used to assess in real time whether the environment in the area poses a threat to human health based on environmental parameters.

[0008] The impact early warning module includes an environmental early warning unit and a map guidance unit; The environmental early warning unit is used to warn whether the area poses a hazard to human health based on environmental parameters. One hour is considered as one cycle. The risk values ​​of the environmental parameters in the three cycles are used to predict whether the environmental parameters in the corresponding area are harmful to human health. If the average risk value of the environmental parameters in the three cycles exceeds the safety threshold (determined according to actual needs, and can be formulated with reference to the national standard for environmental parameters that do not cause personal injury), then it is determined that the environmental parameters in the area are abnormal and that the person should not stay there. The system is then reported and a voice alarm is issued to remind the person to evacuate. The map guidance unit is used to draw the area using GIS, connect the area to the map to display landmarks, present a map-guided evacuation route, and track whether the mobile phone user's location deviates from the evacuation route in real time, calculating the mobile phone user's evacuation route deviation value, as follows: The optimal location point of the evacuation route is set as the center origin, a coordinate system is established, and the deviation difference of the mobile phone user's location movement angle is obtained by calculation formula. The calculated location of the mobile phone user has been moved. and The optimal location points are compared with the evacuation route's best location points, whose values ​​are set as O and M. -O≥1 or If -M≥1, it is determined that the mobile phone user's positioning and movement angle is abnormal. The system will issue a voice alarm to remind the user to stop the evacuation and remind the user to correct the evacuation route in real time. The correction angle is determined based on the deviation difference. If not, it is determined that the mobile phone user's positioning and movement angle is normal and the evacuation continues.

[0009] The power warning terminal includes a battery monitoring module, a power warning module, and an adjustment and replenishment module; The battery monitoring module includes a battery monitoring unit and a power consumption calculation unit; The battery monitoring unit is used to monitor the mobile phone battery power parameters in real time, including voltage parameters, current parameters, capacity parameters, temperature parameters, time parameters and efficiency parameters, and to set standard mobile phone battery power parameters and standard mobile phone battery usage time. The power consumption calculation unit is used to calculate the remaining power of the mobile phone battery in real time.

[0010] The power warning module includes a duration threshold unit and a power warning unit; The duration threshold unit is used to calculate the estimated power consumption time in real time based on the remaining power of the mobile phone battery; The power consumption warning unit is used to set low-level warning power consumption and high-level warning power consumption. When the power consumption is less than or equal to the low-level warning level, the system will report to remind the phone via voice alarm, automatically send a power warning signal, and automatically switch to power-saving mode to remind it to charge. When the battery level is less than or equal to the level of the advanced warning, the system will be notified to issue a battery level warning reminder and the phone will automatically shut down. The clock will be turned on to display timed reminders and alerts for any new statuses or messages from frequently used apps.

[0011] The adjustment and replenishment module includes an early warning adjustment unit and a replenishment tracking unit; The warning adjustment unit is used to dynamically adjust the power output of the mobile phone through the transformer PMIC when a mobile phone battery warning reminder is issued or the phone is automatically shut down. The transformer PMIC includes a complete process of detecting the charger type, controlling the charging current and voltage, and performing trickle charging, constant current charging, and constant voltage charging. It also provides overvoltage, overcurrent, and overheat protection. Here, when the phone is automatically shut down, the transformer PMIC performs trickle charging, constant current charging, and constant voltage charging to reduce the power consumption of the mobile phone. The supply tracking unit is used to track the output of the mobile phone power supply dynamically adjusted by the transformer PMIC in real time through the data tracker, and calculate the difference between the current parameters and voltage parameters before tracking and the current parameters and voltage parameters after tracking. If the difference is equal to 0, it means that the PMIC dynamic adjustment is invalid, and the system will issue a voice alarm reminder and provide feedback for manual inspection to close infrequently used apps or pages. If the difference is not equal to 0, it means that the PMIC dynamic adjustment is effective. (When the mobile phone issues a power warning or automatically shuts down, the core task of the system is "power saving" and "life saving" rather than charging. Here, it reminds the mobile phone user that it needs to be charged. When the battery power drops to the warning threshold or triggers the forced shutdown voltage, the PMIC will forcibly reduce the power supply voltage and frequency of the SoC (System-on-a-Chip) (Dynamic Voltage and Frequency Adjustment, DVFS), shut down non-core peripherals (such as GPS, high refresh rate screen), forcibly close background applications, and enter the super power saving mode.)

[0012] The disaster early warning system includes a geological monitoring module, a disaster early warning module, an APP-based advance prediction module, and a decision generation module. The geological monitoring module includes a geological monitoring unit and an artifact detection unit; The geological monitoring unit is used to monitor the geological dynamic parameters of the current area in real time. These parameters include surface subsidence, horizontal displacement, deep displacement, earthquake, blasting, and seismic motion parameters (acceleration, velocity, displacement), magnetic field strength, wave velocity, and the conductivity of the underground medium. The data is recorded in real time by a data logger. The artifact detection unit is used to determine whether data artifacts occur in transient spike pulses during geological disaster monitoring by combining the excess kurtosis, and to calculate the excess kurtosis. Set a preset threshold for excess kurtosis (between 3 and 10, the specific value can be determined according to actual needs). If the absolute value of excess kurtosis is greater than the preset threshold, it is determined that data artifacts have appeared in the transient spike pulses during geological disaster monitoring. Otherwise, it is determined that no data artifacts have appeared in the transient spike pulses during geological disaster monitoring.

[0013] The disaster early warning module is used to determine the presence of a geological disaster early warning signal when data artifacts appear in transient spike pulses during local geological disaster monitoring, and to report to the system to issue a voice alarm to remind the geological disaster monitoring early warning system of abnormality. The APP advance prediction module includes a signal prediction unit and a mobile phone status adjustment unit; The signal prediction unit is used to predict whether the signal in the next cycle will be abnormal based on the transient spike pulse signal judgment results during three cycles of geological disaster monitoring. The method is as follows: One minute is defined as one cycle. The average value of the excess kurtosis of the transient spike pulse signal during three cycles of geological disaster monitoring is calculated. A standard excess kurtosis without data artifacts is set. If the excess kurtosis of at least two of the three cycles exceeds the standard excess kurtosis, it indicates that there is an artifact in the signal of the next cycle. The geological disaster warning is judged to be abnormal, and the system is immediately reported to issue a signal reminder that the geological disaster monitoring and warning cannot be executed. If not, it indicates that there is no artifact in the signal of the next cycle. The geological disaster warning is judged to be normal, and the geological disaster monitoring and warning can be executed. The mobile phone status adjustment unit is used to enable data communication between the mobile phone APP and the geological disaster monitoring and early warning analysis port. When a geological disaster early warning signal is detected, the mobile phone APP automatically displays the status of the geological disaster early warning signal through the sensor.

[0014] The decision generation module includes an early warning decision unit and a dynamic decision adjustment unit; The early warning decision unit is used to automatically generate early warning decisions, and automatically generate geological disaster monitoring and early warning decision schemes based on the real-time location and evacuation routes of different mobile phone users. The decision-making dynamic adjustment unit is used to dynamically adjust the early warning decision optimization scheme in the case of multiple people, by combining the Nash equilibrium point with the optimal strategy combination in real time according to the environment.

[0015] The present invention has the following beneficial effects: 1. In this invention, by setting up an environmental early warning terminal, during geological disaster monitoring and early warning operations based on a mobile app, the location of the mobile phone is located in real time, and a risk analysis is performed on the area to determine whether the area poses a risk to human health. Simultaneously, environmental monitoring equipment monitors the environmental parameters of the area in real time and makes an environmental assessment of the current environmental parameters. Based on the environmental assessment, it is determined whether the environmental parameters pose a threat to human health. When the environmental parameters pose a threat to human health, a map is generated in a timely manner to guide the mobile phone user to evacuate urgently. This allows the mobile phone to conduct timely risk assessments of the environment in the area when monitoring geological disasters, and to issue early warnings of risks and abnormal environmental monitoring in the area, reducing the possibility of safety hazards for people unfamiliar with the geological area and avoiding harm and impact from the geological environment on human health.

[0016] 2. In this invention, by setting up a power warning terminal, during the geological disaster monitoring and early warning operation based on a mobile APP, the power consumption of the mobile phone is collected in real time by a data acquisition device, and the power consumption duration of the mobile phone is calculated. When the mobile phone reaches the warning power consumption, the mobile phone automatically issues a power warning signal and automatically adjusts to power saving mode. When the power consumption reaches the warning minimum power consumption, the phone automatically shuts down and turns on the clock timer display and reminders for new status or new message notifications from frequently used APPs. This allows the geological disaster monitoring and early warning system to operate normally when the mobile phone battery is low or the phone is turned off, and to replenish power according to the environment. This reduces the limitations of the geological disaster monitoring and early warning system, meets the practicality of the mobile APP in harsh environments, and ensures the safety and reliability of the mobile APP in harsh environments.

[0017] 3. In this invention, by setting up a disaster early warning terminal, during the geological disaster monitoring and early warning operation based on a mobile APP, the geological parameters of the current area are monitored in real time, and the presence of geological vibration artifacts is monitored in real time. Artifact data is eliminated in a timely manner to ensure the accuracy of geological disaster monitoring and early warning. Simultaneously, geological disaster monitoring and early warning analysis is performed based on geological parameters to determine whether a geological disaster early warning signal exists. Data communication is achieved between the mobile APP and the geological disaster monitoring and early warning analysis port. When a geological disaster early warning signal is detected, the mobile APP automatically presents the status of the geological disaster early warning signal and automatically generates an early warning decision. The early warning decision optimization scheme is dynamically adjusted according to the real-time environment, thereby reducing the presence of earthquake artifact data during geological disaster monitoring, reducing the deviation of the geological disaster early warning from the mobile APP, and enabling early warning decisions to be made in advance before a geological disaster occurs and dynamically adjusted in a timely manner, further increasing the efficiency and reliability of geological disaster monitoring and early warning. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the overall system architecture of the geological disaster monitoring and early warning system based on a mobile APP of the present invention; Figure 2 This is a schematic diagram of the environmental early warning terminal of the geological disaster monitoring and early warning system based on a mobile APP of the present invention; Figure 3 This is a schematic diagram of the power supply warning terminal of the geological disaster monitoring and early warning system based on a mobile APP of the present invention; Figure 4 This is a schematic diagram of the disaster early warning terminal of the geological disaster monitoring and early warning system based on a mobile APP of the present invention. Detailed Implementation

[0019] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0020] Example 1, please refer to Figures 1 to 2 As shown: The geological disaster monitoring and early warning system based on a mobile APP includes an environmental early warning terminal, a power consumption early warning terminal, and a disaster early warning terminal. The environmental early warning terminal, the power consumption early warning terminal, and the disaster early warning terminal are all equipped with a voice reminder module. The environmental early warning terminal is used to perform risk analysis on the area where the mobile phone is located, determine whether the area poses a risk to the human body, and determine whether environmental parameters are harmful to the human body based on environmental assessment. When environmental parameters are harmful to the human body, a map is generated in a timely manner to guide the mobile phone user to evacuate in an emergency. The power warning device is used to automatically send power warning signals through the mobile phone and automatically adjust to power saving mode. When the power consumption reaches the warning minimum power consumption, it will automatically shut down and turn on the clock timer to display and remind frequently used apps whether there are new status or new message reminders, and replenish the power according to the environment. The disaster early warning terminal is used to monitor geological vibrations in real time to detect artifact data, and to perform geological disaster monitoring and early warning analysis based on geological parameters to determine whether there is a geological disaster early warning signal. It enables data exchange between the mobile APP and the geological disaster monitoring and early warning analysis port, and automatically generates early warning decisions. It also dynamically adjusts the early warning decision optimization scheme according to the real-time environment. The voice alert module is used to issue voice alerts, send text messages, make phone calls, or provide map navigation pages to remind people to evacuate when the area poses a risk to human health, environmental parameters cause harm to human health, mobile phone battery usage reaches warning levels, geological vibrations produce artifact data, or geological disaster warning signals are present.

[0021] The environmental early warning system includes a mobile phone positioning module, an environmental monitoring module, and an impact early warning module. The mobile phone positioning module includes a regional positioning unit and a regional risk unit; The area positioning unit is used to locate the mobile phone in real time using GPS positioning software, thereby obtaining the real-time location of the mobile phone user. The regional risk unit is used to conduct risk analysis on the area where the mobile phone is located. It collects basic data on the area through surrounding projects (including construction projects, factory waste discharge projects, logging activities, water resource utilization, soil pollution, and crop cultivation). This basic data includes PM2.5 / PM10 (inhalable particulate matter), sulfur dioxide, nitrogen oxides, ozone, carbon monoxide, volatile organic compounds (formaldehyde, benzene), heavy metals (lead, mercury, cadmium), bacteria / viruses, nitrates, pesticide residues, noise, and radiation. Based on this basic data, a risk assessment is made for the area, as detailed below: The formula for calculating the risk value corresponding to the area is as follows: R = H × E × V; Where R represents the risk value, which is a dimensionless risk index (including the impact of environmental parameters in the area on the human body), H represents the hazard index, including peak ground acceleration, flood depth and pollutant concentration, E represents the exposure index, including population density (people / square kilometer) and total asset value (yuan), and V represents the vulnerability coefficient, a value between 0 and 1. Set a risk threshold (the risk threshold is variable and can be set according to actual needs). If the risk value is greater than or equal to the risk threshold, it is determined that there is a potential risk to the human body in the area, and the system is reported to issue a danger alarm reminder for the area. Otherwise, it is determined that there is no potential risk to the human body in the area.

[0022] The environmental monitoring module includes an environmental monitoring unit and an environmental assessment unit; The environmental monitoring unit is used to detect environmental parameters in the area in real time through earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors. The environmental assessment unit is used to assess in real time, based on environmental parameters, whether the environment in its area poses a hazard to human health, as detailed below: The formula for calculating the risk value of environmental parameters in the area is as follows: ,in, Indicates the number of particles in the air at the corresponding time. The instantaneous risk value of a pollutant to environmental parameters. Indicates the number of particles in the air at the corresponding time. Real-time monitoring concentration of each pollutant This indicates the short-term health reference value for the first pollutant (the 24-hour average or 1-hour average concentration limit in the national ambient air quality standards (e.g., the 24-hour average first-level limit for PM2.5 in Chinese standards is 35 μg / m³)). A value less than or equal to 1 indicates that the concentration of the pollutant is within a safe range. A value greater than 1 indicates that the concentration of the pollutant has exceeded the safety threshold and poses a potential health risk. The comprehensive health risk index is calculated using the following formula: ,in, This represents the comprehensive health risk index of environmental parameters within the area. Risk index threshold levels are set, including low risk (less than 1), medium risk (between 2 and 4), and high risk (greater than 4). Based on the comprehensive health risk index, it determines whether the environmental parameters at the current moment pose a threat to human health. If it is low risk, it means that it is harmless to human health. If it is medium risk, it means that it is harmful to human health, and the system will issue a voice alarm reminder. If it is high risk, it means that it is harmful to human health, and the system will immediately issue an emergency evacuation alarm notification.

[0023] The impact early warning module includes an environmental early warning unit and a map guidance unit; The environmental early warning unit is used to warn whether the area is harmful to human health based on environmental parameters. One hour is counted as one cycle. The risk value of the environmental parameters in the three cycles is used to predict whether the environmental parameters in the corresponding area are harmful to human health. If the average risk value of the environmental parameters in the three cycles exceeds the safety threshold, it is determined that the environmental parameters in the area are abnormal and the person should not stay there. The system is then reported and a voice alarm is issued to remind the person to evacuate. The map guidance unit is used to draw the area using GIS, connect the area to the map to display landmarks, present a map-guided evacuation route, and track the mobile phone user's location in real time to see if it deviates from the evacuation route. It calculates the deviation value of the mobile phone user's evacuation route, as follows: By setting the optimal location point of the evacuation route as the central origin and establishing a coordinate system, the deviation value of the mobile phone user's location movement angle is calculated using the following formula: ; ; in, The angle between the mobile phone user's positioning movement angle and the positive X-axis direction. Let A be the angle between the mobile phone user's positioning movement angle and the positive Y-axis, and let A be the mobile phone user's positioning height. The vector of the mobile phone user's location point along the X-axis. The vector of the mobile phone user's location point along the Y-axis; The calculated location of the mobile phone user has been moved. and The optimal location points are compared with the evacuation route's best location points, whose values ​​are set as O and M. -O≥1 (meter) or If M≥1 (meters), it is determined that the mobile phone user's positioning and movement angle is abnormal. The system will issue a voice alarm to remind the user to stop evacuation and remind them to correct the evacuation route in real time. The correction angle is determined based on the deviation difference. If not, it is determined that the mobile phone user's positioning and movement angle is normal and the evacuation continues.

[0024] By conducting risk analysis on the area where the mobile phone is located, it can determine whether the area poses a risk to human health. At the same time, environmental monitoring equipment monitors the environmental parameters of the area in real time and makes an environmental assessment of the current environmental parameters. Based on the environmental assessment, it determines whether the environmental parameters are harmful to human health. When the environmental parameters are harmful to human health, a map is generated in a timely manner to guide the mobile phone user to evacuate urgently. This allows the mobile phone to conduct timely risk assessment of the environment in the area when monitoring geological disasters, and issue early alarm notifications of risks and abnormal environmental monitoring in the area, reducing the possibility of safety hazards for people unfamiliar with the geological area.

[0025] Example 2, please refer to Figure 3 As shown: Based on Embodiment 1, the power warning terminal includes a battery monitoring module, a power warning module, and an adjustment and replenishment module; The battery monitoring module includes a battery monitoring unit and a power consumption calculation unit; The battery monitoring unit is used to monitor the mobile phone battery power parameters in real time, including voltage, current, capacity, temperature, time and efficiency parameters, and to set standard mobile phone battery power parameters and standard mobile phone battery usage time. The power consumption calculation unit is used to calculate the remaining power of the mobile phone battery in real time. The calculation formula is as follows: ; in, This indicates the remaining battery level of the phone. This indicates that the phone's initial battery percentage is 100%, and the total battery capacity is the battery's nominal capacity. Indicates real-time current. This indicates the time taken to charge the initial amount of electricity. This indicates the time elapsed since the current battery level was reached.

[0026] The battery warning module includes a duration threshold unit and a battery warning unit; The duration threshold unit is used to calculate the estimated power consumption duration in real time according to the remaining power of the mobile phone battery. The formula is as follows: , where T represents the estimated usage duration of the remaining power of the mobile phone battery (hours), C represents the remaining capacity of the mobile phone battery (mAh, and the calculation method is: remaining power percentage (%) = (remaining capacity / current maximum full charge capacity) × 100%), I represents the weighted average discharge current (mA) calculated based on the user's recent usage habits, represents the battery health coefficient (0 < k ≤ 1), 1 for a new battery and 0.8 for an old battery, F represents the temperature influence coefficient, which is 1 at standard room temperature and may be > 1 at extremely low temperatures (indicating a reduction in effective capacity); The power warning unit is used to set the low-level warning power consumption and the high-level warning power consumption. When is less than or equal to the low-level warning power consumption, the reporting system will remind the mobile phone to automatically send a power warning signal through the voice alarm and automatically adjust to the power-saving mode to remind charging. When is less than or equal to the high-level warning power consumption, the reporting system will send a mobile phone power warning reminder and automatically shut down, turn on the clock to display regularly, and remind whether there are new statuses or new message reminders for commonly used APPs.

[0027] The adjustment and replenishment module includes a warning adjustment unit and a replenishment tracking unit; The warning adjustment unit is used to dynamically adjust the mobile phone power output through the transformer PMIC when a mobile phone power warning reminder or automatic shutdown occurs, including detecting the charger type, controlling the charging current and voltage, performing the complete process of trickle charging, constant current charging, and constant voltage charging, and providing overvoltage, overcurrent, and overheat protection; The replenishment tracking unit is used to continuously track the output results of the transformer PMIC dynamically adjusting the mobile phone power through the data tracker, and calculate the differences between the current parameters and voltage parameters before tracking and the current parameters and voltage parameters after tracking. If the difference is equal to 0, it means that the PMIC dynamic adjustment is ineffective, and the reporting system will send a voice alarm reminder and feedback for manual inspection to close unused APPs or pages. If the difference is not equal to 0, it means that the PMIC dynamic adjustment is effective.

[0028] By calculating the power consumption duration of the mobile phone, when the mobile phone uses up to the warning power consumption, the mobile phone will automatically send a power warning signal and automatically adjust to the power-saving mode. When the power consumption reaches the lowest warning power consumption, it will automatically shut down and turn on the clock to display regularly and remind whether there are new statuses or new message reminders for commonly used APPs, enabling the mobile phone mobile APP to conduct geological disaster monitoring and warning. When the mobile phone is short of power or in a shutdown state, the geological disaster monitoring and warning system can operate normally and replenish power according to the surrounding environment, reducing the limitations existing when using the geological disaster monitoring and warning system and meeting the practicality of the mobile phone APP in harsh environments.

[0029] Example 3, please refer to Figure 4 As shown: Based on Embodiment 1, the disaster early warning terminal includes a geological monitoring module, a disaster early warning module, an APP advance prediction module, and a decision generation module; The geological monitoring module includes a geological monitoring unit and an artifact detection unit; The geological monitoring unit is used to monitor the geological dynamic parameters of the current area in real time. These parameters include surface subsidence, horizontal displacement, deep displacement, earthquake, blasting, and seismic motion parameters (acceleration, velocity, displacement), magnetic field strength, wave velocity, and the conductivity of the underground medium. The data is recorded in real time by a data logger. The artifact detection unit is used to determine whether data artifacts occur in transient spike pulses during geological disaster monitoring by combining the excess kurtosis. The excess kurtosis is calculated using the following formula: ; in, This represents the excess kurtosis at the corresponding time point. Indicates the first in the signal Data points, This represents the average value of the entire signal segment. This indicates the total number of data points in a signal segment; Set a preset threshold for excess kurtosis (between 3 and 10). If the absolute value of excess kurtosis is greater than the preset threshold, it is determined that data artifacts have appeared in the transient spike pulses during geological disaster monitoring. Otherwise, it is determined that no data artifacts have appeared in the transient spike pulses during geological disaster monitoring. The data artifacts caused by transient spikes are eliminated using a linear interpolation formula, as follows: ; in, This represents the value of the output sequence at data position p after pulse cancellation, where p represents the data position when transient spikes are eliminated. This represents the original value at the position preceding the p-th data point. This represents the original value at the position following the p-th data point. By monitoring geological vibrations in real time to identify and eliminate artifact data, the accuracy of geological disaster monitoring and early warning is ensured. Simultaneously, geological disaster monitoring and early warning analysis is performed based on geological parameters to determine the presence of geological disaster early warning signals. Data exchange is achieved between the mobile app and the geological disaster monitoring and early warning analysis port. When a geological disaster early warning signal is detected, the mobile app automatically presents the status of the signal and generates an early warning decision. The early warning decision optimization scheme is dynamically adjusted based on the real-time environment, thereby reducing earthquake artifact data during geological disaster monitoring.

[0030] The disaster early warning module is used to determine the presence of a geological disaster early warning signal when transient spike pulses appear as data artifacts during local geological disaster monitoring. The system then issues a voice alarm to remind the geological disaster monitoring and early warning system of the abnormality. The APP's advance prediction module includes a signal prediction unit and a mobile phone status adjustment unit; The signal prediction unit is used to predict whether the signal in the next cycle will be abnormal based on the transient spike pulse signal results during three cycles of geological disaster monitoring. The method is as follows: One minute is defined as one cycle. The average value of the excess kurtosis of the transient spike pulse signal during three cycles of geological disaster monitoring is calculated. A standard excess kurtosis without data artifacts is set. If the excess kurtosis exceeds the standard excess kurtosis in at least two of the three cycles, it indicates that there is an artifact in the signal of the next cycle, and the geological disaster warning is judged to be abnormal. The system is immediately reported and a signal reminder that the geological disaster monitoring and warning cannot be executed is issued. If not, it indicates that there is no artifact in the signal of the next cycle, and the geological disaster warning is judged to be normal and the geological disaster monitoring and warning can be executed. (The next cycle prediction method here can also be applied to the warning judgment of whether the mobile phone positioning area is abnormal based on geological parameters or environmental parameters. The principle is the same.) The mobile phone status adjustment unit is used to enable data exchange between the mobile phone APP and the geological disaster monitoring and early warning analysis port. When a geological disaster early warning signal is detected, the mobile phone APP automatically displays the status of the geological disaster early warning signal through the sensor.

[0031] The decision generation module includes an early warning decision unit and a dynamic decision adjustment unit; The early warning decision unit is used to automatically generate early warning decisions, and automatically generate geological disaster monitoring and early warning decision schemes based on the real-time location and evacuation routes of different mobile phone users. The dynamic decision-making adjustment unit is used in multi-person scenarios to dynamically adjust the early warning decision and optimize the decision-making scheme in real time based on the environment, combining the Nash equilibrium point with the optimal strategy combination. The formula for calculating the Nash equilibrium point is as follows: ; in, Then it is called This represents the Nash equilibrium point for geological disaster monitoring and early warning decision-making. This indicates the first mobile phone user's... The decision-making request (i.e., in a multi-person situation, the first person's request) (one decision-making demand) Indicating the second mobile phone user's first The decision-making request (i.e., in a multi-person situation, the second person's third...) The decision-making objective (excluding the first person) is to optimize the geological disaster monitoring and early warning decision-making scheme in a multi-person scenario, aiming to maximize the interests of different mobile phone users (highest survival probability and minimum loss). Indicates participants The effective decision function is used to automatically generate geological disaster monitoring and early warning decision schemes based on the location of different mobile phone users. This includes the time required to evacuate from the current location to a safe area, the length of the evacuation route, the speed of movement, the probability or expected loss of encountering danger during the evacuation due to congestion, the loss of some areas without rescue due to uneven distribution of rescue forces, and other conceivable uncertainties that affect geological disaster evacuation.

[0032] This invention discloses a geological disaster monitoring and early warning system based on a mobile app. During operation, the system first configures the mobile app and the geological disaster monitoring and early warning control server port. It then accesses the environmental early warning terminal to perform risk analysis on the area where the mobile phone is located, determining whether the area poses a risk to human health. Based on the environmental assessment, it determines whether environmental parameters pose a hazard to human health. When environmental parameters pose a hazard, it promptly generates a map to guide the mobile phone user to evacuate immediately. During the geological disaster monitoring and early warning operation based on the mobile app, the system locates the mobile phone's location in real time and performs risk analysis to determine whether the area poses a risk to human health. Simultaneously, environmental monitoring equipment monitors the environmental parameters in the area in real time and performs an environmental assessment based on the current environmental parameters. Based on the environmental assessment, it determines whether the environmental parameters pose a hazard to human health. When environmental parameters pose a hazard, it promptly generates a map to guide the mobile phone user to evacuate immediately. This allows the mobile phone to promptly assess the environmental risk of the area when monitoring geological disasters, issuing early warnings of potential risks and abnormal environmental monitoring, reducing the possibility of safety hazards for people unfamiliar with the geological area, and preventing geological environments from causing harm to humans. The system can cause damage and impact to the body; upon entering the power warning terminal, the phone automatically sends a power warning signal and automatically adjusts to power-saving mode. When the power consumption reaches the warning minimum, the phone automatically shuts down and turns on the clock to display and remind users of any new statuses or messages from frequently used apps. It also replenishes power according to the environment (this is achieved using solar energy conversion, with the phone configured with a photovoltaic panel for solar energy conversion charging compensation). During geological disaster monitoring and early warning operations based on the mobile app, the phone's power consumption is collected in real time by a data acquisition device, and the phone's power consumption duration is calculated. The system then alerts the user when the phone reaches the warning power level. When the battery level drops to the minimum warning level, the phone automatically sends a power warning signal and switches to power-saving mode. When the battery level reaches the minimum warning level, the phone automatically shuts down and turns on the clock to display and remind users of any new statuses or messages from frequently used apps. This ensures that the mobile app can operate normally when the phone is powered off or has low battery, and can replenish power according to the environment. This reduces the limitations of the geological disaster monitoring and early warning system, meets the practicality requirements of the mobile app in harsh environments, and ensures the safety and reliability of the mobile app in harsh environments.Upon entering the disaster early warning system, real-time monitoring of geological vibrations for artifact data is performed. Based on geological parameters, geological disaster monitoring and early warning analysis is conducted to determine the presence of a geological disaster early warning signal. Data exchange is established between the mobile app and the geological disaster monitoring and early warning analysis port, and early warning decisions are automatically generated. The early warning decision optimization scheme is dynamically adjusted based on the real-time environment. During geological disaster monitoring and early warning operations based on the mobile app, real-time monitoring of geological parameters in the current area and the presence of geological vibration artifact data are conducted to promptly eliminate artifact data and ensure the accuracy of geological disaster monitoring and early warning. Simultaneously, geological disaster monitoring and early warning analysis is performed based on geological parameters to determine the presence of a geological disaster early warning signal, and data exchange is established between the mobile app and the geological disaster monitoring and early warning analysis port. When a geological disaster early warning signal is detected, the mobile app automatically displays the status of the signal and generates an early warning decision. It dynamically adjusts the decision based on real-time environmental conditions, reducing earthquake artifacts and lowering the error rate of the mobile app's geological disaster early warnings. Furthermore, it allows for early warning decisions to be made and dynamically adjusted before a geological disaster occurs, further increasing the efficiency and reliability of geological disaster monitoring and early warning. Through a voice alert module, when the area poses a risk to human health, environmental parameters are harmful, the phone's battery level reaches a warning level, geological vibrations produce artifacts, or a geological disaster early warning signal is detected, the app issues a voice alarm, sends a text message, makes a phone call, or provides a map navigation page to remind users to evacuate.

[0033] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A geological disaster monitoring and early warning system based on a mobile app, characterized in that, The system includes an environmental early warning terminal, a power consumption early warning terminal, and a disaster early warning terminal, all of which are equipped with a voice reminder module. The environmental early warning terminal is used to perform risk analysis on the area where the mobile phone is located, determine whether the area poses a risk to the human body, and determine whether environmental parameters pose a hazard to the human body based on environmental assessment. When environmental parameters pose a hazard to the human body, a map is generated in a timely manner to guide the mobile phone user to evacuate in an emergency. The power warning terminal is used to automatically send a power warning signal through the mobile phone and automatically adjust to power saving mode. When the power consumption reaches the warning minimum power consumption, it automatically shuts down and turns on the clock timer to display and remind users of frequently used apps whether there are new statuses or new message reminders, and replenishes power according to the environment. The disaster early warning terminal is used to monitor whether there are artifact data in geological vibration in real time, and to perform geological disaster monitoring and early warning analysis based on geological parameters to determine whether there is a geological disaster early warning signal. It enables data exchange between the mobile APP and the geological disaster monitoring and early warning analysis port, and automatically generates early warning decisions. It also dynamically adjusts the early warning decision optimization scheme according to the real-time environment. The voice alert module is used to issue voice alerts, send text messages, make phone calls, or provide map navigation pages to remind people to evacuate when the area poses a risk to human health, environmental parameters cause harm to human health, mobile phone battery usage reaches warning levels, geological vibrations produce artifact data, or geological disaster warning signals are present.

2. The system according to claim 1, characterized in that, The environmental early warning terminal includes a mobile phone positioning module, an environmental monitoring module, and an impact early warning module; The mobile phone positioning module includes a regional positioning unit and a regional risk unit; The area positioning unit is used to locate the area where the mobile phone is located in real time through GPS positioning software, and obtain the real-time location of the mobile phone user. The regional risk unit is used to perform risk analysis on the area where the mobile phone is located. It collects basic data about the area through surrounding projects, including PM2.5 / PM10, sulfur dioxide, nitrogen oxides, ozone, carbon monoxide, volatile organic compounds, heavy metals, bacteria / viruses, nitrates, pesticide residues, noise, and radiation. Based on this basic data, a risk assessment is made for the area, as detailed below: The formula for calculating the risk value corresponding to the area is as follows: R = H × E × V; Where R represents the risk value, which is a dimensionless risk index; H represents the hazard indicators, including peak ground acceleration, flood depth, and pollutant concentration; and E represents the exposure index. A risk threshold is set. If the risk value is greater than or equal to the risk threshold, it is determined that there is a potential risk to the human body in the area, and the system is notified to issue a danger alarm for the area. Otherwise, it is determined that there is no potential risk to the human body in the area.

3. The system according to claim 2, characterized in that, The environmental monitoring module includes an environmental monitoring unit and an environmental assessment unit; The environmental monitoring unit is used to detect environmental parameters in the area in real time through earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors. The environmental assessment unit is used to assess in real time whether the environment in the area poses a threat to human health based on environmental parameters, as detailed below: The formula for calculating the risk value of environmental parameters in the area is as follows: ,in, Indicates the number of particles in the air at the corresponding time. The instantaneous risk value of a pollutant to environmental parameters. Indicates the number of particles in the air at the corresponding time. Real-time monitoring concentration of each pollutant Indicates the first Short-term health reference values ​​for the concentration of each pollutant, if A value less than or equal to 1 indicates that the concentration of the pollutant is within a safe range. A value greater than 1 indicates that the concentration of the pollutant has exceeded the safety threshold and poses a potential health risk. The comprehensive health risk index is calculated using the following formula: ,in, This system represents the comprehensive health risk index of environmental parameters within the area. It sets risk index threshold levels, including low risk, medium risk, and high risk. Based on the comprehensive health risk index, it determines whether the environmental parameters at the current moment pose a threat to human health. If it is low risk, it means that it is harmless to human health. If it is medium risk, it means that it is harmful to human health, and the system will issue a voice alarm reminder. If it is high risk, it means that it is harmful to human health, and the system will immediately issue an emergency evacuation alarm notification.

4. The system according to claim 3, characterized in that, The impact early warning module includes an environmental early warning unit and a map guidance unit; The environmental early warning unit is used to warn whether the area is harmful to the human body based on environmental parameters. One hour is counted as one cycle. The risk value of the environmental parameters in the three cycles is used to predict whether the environmental parameters of the corresponding area are harmful to the human body. If the average risk value of the environmental parameters in the three cycles exceeds the safety threshold, it is determined that the environmental parameters of the area are abnormal and the person should not stay there. The system is then reported and a voice alarm is issued to remind the person to evacuate. The map guidance unit is used to draw the area using GIS, connect the area to the map to display landmarks, present a map-guided evacuation route, and track whether the mobile phone user's location deviates from the evacuation route in real time, calculating the mobile phone user's evacuation route deviation value, as follows: By setting the optimal location point of the evacuation route as the central origin and establishing a coordinate system, the deviation value of the mobile phone user's location movement angle is calculated using the following formula: ； ； in, The angle between the mobile phone user's positioning movement angle and the positive X-axis direction. Let A be the angle between the mobile phone user's positioning movement angle and the positive Y-axis, and let A be the mobile phone user's positioning height. The vector of the mobile phone user's location point along the X-axis. The vector of the mobile phone user's location point along the Y-axis; The calculated location of the mobile phone user has been moved. and The optimal location points are compared with the evacuation route's best location points, whose values ​​are set as O and M. -O≥1 or If -M≥1, it is determined that the mobile phone user's positioning and movement angle is abnormal. The system will issue a voice alarm to remind the user to stop the evacuation and remind the user to correct the evacuation route in real time. The correction angle is determined based on the deviation difference. If not, it is determined that the mobile phone user's positioning and movement angle is normal and the evacuation continues.

5. The system according to claim 1, characterized in that, The power warning terminal includes a battery monitoring module, a power warning module, and an adjustment and replenishment module; The battery monitoring module includes a battery monitoring unit and a power consumption calculation unit; The battery monitoring unit is used to monitor the mobile phone battery power parameters in real time, including voltage parameters, current parameters, capacity parameters, temperature parameters, time parameters and efficiency parameters, and to set standard mobile phone battery power parameters and standard mobile phone battery usage time. The power consumption calculation unit is used to calculate the remaining power of the mobile phone battery in real time. The calculation formula is as follows: ； in, This indicates the remaining battery level of the phone. This indicates that the phone's initial battery percentage is 100%, and the total battery capacity is the battery's nominal capacity. Indicates real-time current. This indicates the time taken to charge the initial amount of electricity. This indicates the time elapsed since the current battery level was reached.

6. The system according to claim 5, characterized in that, The power warning module includes a duration threshold unit and a power warning unit; The duration threshold unit is used to calculate the estimated power consumption time in real time based on the remaining power of the mobile phone battery, as shown in the following formula: T represents the estimated usage time of the phone's remaining battery power, C represents the remaining capacity of the phone's battery, and I represents the weighted average discharge current calculated based on the user's recent usage habits. The battery health coefficient is represented by F, and the temperature effect coefficient is represented by F. The power consumption warning unit is used to set low-level warning power consumption and high-level warning power consumption. When the power consumption is less than or equal to the low-level warning level, the system will report to remind the phone via voice alarm, automatically send a power warning signal, and automatically switch to power-saving mode to remind it to charge. When the battery level is less than or equal to the level of the advanced warning, the system will be notified to issue a battery level warning reminder, and the phone will automatically shut down. The clock will be turned on to display timed reminders and alerts for any new statuses or messages from frequently used apps.

7. The system according to claim 6, characterized in that, The adjustment and replenishment module includes an early warning adjustment unit and a replenishment tracking unit; The warning adjustment unit is used to dynamically adjust the power output of the mobile phone through the transformer PMIC when a mobile phone battery warning reminder is issued or the phone is automatically shut down. This includes detecting the charger type, controlling the charging current and voltage, executing the complete process of trickle charging, constant current charging, and constant voltage charging, and providing overvoltage, overcurrent, and overheat protection. The supply tracking unit is used to track the output of the mobile phone power supply dynamically adjusted by the transformer PMIC in real time through the data tracker, and calculate the difference between the current parameters and voltage parameters before tracking and the current parameters and voltage parameters after tracking. If the difference is equal to 0, it means that the PMIC dynamic adjustment is invalid, and the system will issue a voice alarm reminder and provide feedback for manual inspection and closing of infrequently used apps or pages. If the difference is not equal to 0, it means that the PMIC dynamic adjustment is effective.

8. The system according to claim 1, characterized in that, The disaster early warning system includes a geological monitoring module, a disaster early warning module, an APP-based advance prediction module, and a decision generation module. The geological monitoring module includes a geological monitoring unit and an artifact detection unit; The geological monitoring unit is used to monitor the geological dynamic parameters of the current area in real time. These parameters include surface subsidence, horizontal displacement, deep displacement, earthquake, blasting, seismic motion parameters generated by mechanical vibration, magnetic field strength, wave velocity, and conductivity of the underground medium. The data is recorded in real time by a data logger. The artifact detection unit is used to determine whether data artifacts occur in transient spike pulses during geological disaster monitoring by combining the excess kurtosis, and calculates the excess kurtosis using the following formula: ; in, This represents the excess kurtosis at the corresponding time point. Indicates the first in the signal Data points, This represents the average value of the entire signal segment. This indicates the total number of data points in a signal segment; Set a preset threshold for excess kurtosis. If the absolute value of excess kurtosis is greater than the preset threshold, it is determined that data artifacts have appeared in the transient spike pulses during geological disaster monitoring. Otherwise, it is determined that no data artifacts have appeared in the transient spike pulses during geological disaster monitoring. The data artifacts caused by transient spikes are eliminated using a linear interpolation formula, as follows: ; in, This represents the value of the output sequence at data position p after pulse cancellation, where p represents the data position when transient spikes are eliminated. This represents the original value at the position preceding the p-th data point. This represents the original value at the position following the p-th data point.

9. The system according to claim 8, characterized in that, The disaster early warning module is used to determine the presence of a geological disaster early warning signal when data artifacts appear in transient spike pulses during local geological disaster monitoring, and to report to the system to issue a voice alarm to remind the geological disaster monitoring early warning system of abnormality. The APP advance prediction module includes a signal prediction unit and a mobile phone status adjustment unit; The signal prediction unit is used to predict whether the signal in the next cycle will be abnormal based on the transient spike pulse signal judgment results during three cycles of geological disaster monitoring. The method is as follows: One minute is defined as one cycle. The average value of the excess kurtosis of the transient spike pulse signal during three cycles of geological disaster monitoring is calculated. A standard excess kurtosis without data artifacts is set. If the excess kurtosis of at least two of the three cycles exceeds the standard excess kurtosis, it indicates that there is an artifact in the signal of the next cycle. The geological disaster warning is judged to be abnormal, and the system is immediately reported to issue a signal reminder that the geological disaster monitoring and warning cannot be executed. If not, it indicates that there is no artifact in the signal of the next cycle. The geological disaster warning is judged to be normal, and the geological disaster monitoring and warning can be executed. The mobile phone status adjustment unit is used to enable data communication between the mobile phone APP and the geological disaster monitoring and early warning analysis port. When a geological disaster early warning signal is detected, the mobile phone APP automatically displays the status of the geological disaster early warning signal through the sensor.

10. The system according to claim 9, characterized in that, The decision generation module includes an early warning decision unit and a dynamic decision adjustment unit; The early warning decision unit is used to automatically generate early warning decisions, and automatically generate geological disaster monitoring and early warning decision schemes based on the real-time location and evacuation routes of different mobile phone users. The decision-making dynamic adjustment unit is used to dynamically adjust the early warning decision optimization scheme in real time based on the environment and the optimal strategy combination, in the case of multiple people, by combining the Nash equilibrium point and the environment. The calculation formula of the Nash equilibrium point is as follows: ； in, Then it is called This represents the Nash equilibrium point for geological disaster monitoring and early warning decision-making. This indicates the first mobile phone user's... Each decision-making demand Indicating the second mobile phone user's first To address individual decision-making needs, optimize geological disaster monitoring and early warning decision-making schemes in multi-user scenarios, and maximize the interests of different mobile phone users.

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