CN116092268A - Dot matrix vibration type debris flow monitoring method and device - Google Patents
Dot matrix vibration type debris flow monitoring method and device Download PDFInfo
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Abstract
The invention provides a lattice vibration type debris flow monitoring method and device, comprising the following steps: acquiring monitoring data; the monitoring data are acquired by a plurality of sets of vibration sensing equipment distributed in the debris flow domain; the monitoring data comprises vibration data and meteorological data; carrying out data analysis on the monitoring data to obtain an analysis result; the analysis result is frequency domain-amplitude data; determining whether to issue early warning information or not based on the analysis result and the judgment model; if yes, sending the early warning information based on the occurrence point position of the debris flow and the position information of the user; the on-plane monitoring is carried out, the monitoring data is spatially resolved, the original ground vibration signals can be continuously collected at high frequency, the judging result is adjusted based on the monitoring result and the environmental characteristics of the area, and the judging accuracy is improved.
Description
Technical Field
The invention relates to the technical field of debris flow monitoring, in particular to a lattice vibration type debris flow monitoring method and device.
Background
The mud-rock flow disaster is a global and widespread geological disaster, and causes a large amount of casualties each year. The common debris flow monitoring means comprises rain intensity monitoring based on a rain gauge and a statistical model, image monitoring based on photographic equipment, contact monitoring based on mechanical devices such as wires, water level monitoring based on sensors such as ultrasonic waves, radar and laser, infrasound and ground sound monitoring based on infrasound sensors and vibration sensors, and the like. The current mud-rock flow monitoring and early warning release system has the problems of insufficient accuracy and high false alarm rate of missing report. The reason is mainly that the arrangement of the monitoring facilities, the acquisition of the monitoring data and the construction of the judgment model are all deficient. Firstly, unlike indirect judgment of mud-rock flow by means of a rain gauge, a water level gauge and the like, the monitoring of the ground sound and the infrasound is direct observation of mud-rock flow signals, so that the monitoring value is higher. However, because the equipment has higher cost, when a monitoring facility is arranged, point location monitoring can only be carried out in a river basin, and on-surface monitoring cannot be carried out, so that the space analysis value of monitoring data is limited; secondly, the ground vibration is monitored by adopting a mode of regularly acquiring characteristic values of vibration signals in the prior similar monitoring means, so that original ground vibration signals cannot be continuously acquired at high frequency, the information integrity and the information density of sampling data are reduced, and disaster information contained in the monitoring data is limited to be deeply mined; thirdly, the commonly used monitoring equipment often does not have perfect back-end information platform support, so that monitoring data can be simply processed and judged on local facilities. Due to the fact that on-line storage and analysis of the monitoring data are insufficient, the model cannot be improved in a targeted mode according to the monitoring result and the specific environment, and the problem that the accuracy of judgment is low due to the fact that the built-in judgment model of the off-line equipment is inconvenient to upgrade is further caused.
Disclosure of Invention
In view of this, the present disclosure proposes a method and an apparatus for monitoring a lattice vibration type debris flow, so as to perform on-surface monitoring, spatially analyze monitoring data, continuously collect an original ground vibration signal at a high frequency, adjust a judgment result based on a monitoring result and an environmental characteristic of a region, and improve an accuracy of judgment.
The invention aims to provide a lattice vibration type debris flow monitoring method, which comprises the following steps: acquiring monitoring data; the monitoring data are acquired by a plurality of sets of vibration sensing equipment distributed in the debris flow domain; the monitoring data comprises vibration data and meteorological data; carrying out data analysis on the monitoring data to obtain an analysis result; the analysis result is frequency domain-amplitude data; determining whether to issue early warning information or not based on the analysis result and the judgment model; if yes, the early warning information is sent based on the occurrence point position of the debris flow and the position information of the user.
Further, the plurality of sets of vibration sensing devices form a matrix in the debris flow basin.
Further, the data analysis may refer to performing a fast fourier transform on the vibration data to obtain frequency domain-amplitude data.
Further, the expression of the judgment model is as follows:
wherein ,
the average amplitude value is in the frequency domain range of fa-fbHz; />
The average amplitude value of fa-fbHz in the frequency domain when no debris flow occurs; fa. fb is the upper and lower limit values of the debris flow vibration wave frequency domain respectively; k is a judgment threshold; when the expression of the judgment model is true, determining to issue the early warning information; and when the expression of the judgment model is false, determining that the early warning information is not issued.
Further, the determining whether to issue the early warning information includes: performing significance test on the amplitude value array within the frequency domain range of 30-100 Hz to obtain a test parameter t; determining an inspection boundary value table of the inspection parameter t based on the inspection parameter t and the sample number; when the difference between the amplitude value series continuously exceeding the preset time and the amplitude value series when the debris flow does not occur is larger than a preset amplitude value threshold, determining to issue early warning information; otherwise, not issue.
Further, the method further comprises the step of obtaining the occurrence point of the debris flow, and comprises the following steps: determining monitoring point amplitudes at positions of a plurality of vibration sensing devices and monitoring distances between the plurality of vibration sensing devices and a plurality of points to be detected in a channel; based on the amplitude of the monitoring point and the monitoring distance, fitting analysis is carried out on each point to be tested respectively to obtain a fitting result; and determining the occurrence point position of the debris flow based on the fitting result.
The invention aims to provide a lattice vibration type debris flow monitoring device, which comprises a monitoring data acquisition system and an information service system, wherein the monitoring data acquisition system comprises a plurality of sets of vibration sensing equipment, and the plurality of sets of vibration sensing equipment form an array; the monitoring data acquisition system is used for acquiring monitoring data and transmitting the monitoring data to the information service system; the information service system is used for determining whether to send early warning information or not based on the monitoring data.
Further, the vibration sensing equipment comprises a multi-component vibration sensor, a data acquisition module, a data processing module, a data transmission module, a power supply module and a meteorological sensor; the vibration sensor is used for acquiring low-frequency vibration acceleration information; the data acquisition module is used for receiving the low-frequency vibration acceleration information acquired by the vibration sensor and transmitting the information to the data processing module; the data processing module is used for processing the low-frequency vibration acceleration information to obtain a low-frequency vibration data packet; the data transmission module is used for transmitting the low-frequency vibration data packet to the information service system; the power supply module is used for supplying power to other modules in the vibration sensing equipment; the weather sensor is used for acquiring weather information.
Further, the information service system comprises a storage module, a display module, a data analysis module, an early warning release module and an early warning receiving module; the storage module is used for receiving vibration data transmitted by the monitoring data acquisition system; the display module is used for carrying out online inquiry and display on the vibration data; the data analysis module is used for carrying out data analysis on the monitoring data to obtain an analysis result; the analysis result is frequency domain-amplitude data; the early warning issuing module is used for determining whether to issue early warning information or not based on the analysis result and the judgment model; if yes, sending the early warning information based on the occurrence point position of the debris flow and the position information of the user; the early warning receiving module is used for receiving the early warning information issued by the early warning issuing module.
Further, the multi-component vibration sensor is a capacitive sensor and is manufactured by adopting an MEMS technology.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
some embodiments in this specification make vibration sensing equipment have low cost, lightweight, low power consumption's characteristics through using multicomponent vibration sensor, and then can be under same budget, install more monitoring facilities in order to constitute monitoring array, increase monitoring data's space analytic value, also more convenient cooperation solar power supply system installs the use in the open air.
Some embodiments in the specification are based on a high-precision capacitive vibration sensor and a low-frequency signal extraction method, and original vibration waveforms in three directions are continuously acquired at the frequency of 1kHz, so that the data integrity and the analysis value are improved. The sensor is internally provided with a low-frequency induction structure, has an amplification function on low-frequency signals, and is beneficial to signal acquisition of low-frequency debris flow vibration waves.
According to some embodiments of the present disclosure, the monitoring data is cached in a data packet manner, that is, the data is cached in the memory at equal intervals, after the data is collected for a certain period of time, the data is integrally stored in the storage space, and the stored data packet is sent to the storage module of the information service system through the cellular network, so that the problem of data loss caused by unstable network is effectively solved. Meanwhile, as data are collected in the sending process, in order to avoid data collision, the data collection module designs a ping-pong FIFO data buffer channel, and the collection and storage are ensured to be carried out simultaneously. The data is sampled at equal intervals in a sampling period of microsecond level, so that analysis of later time domain, frequency domain, envelope and the like is facilitated.
Some embodiments in the specification can more conveniently carry out deep mining and analysis on the monitoring data based on the data storage and analysis capability provided by the information service system, and help to improve the accuracy of the judgment model. Meanwhile, due to the online support of the information service system, the latest updated judgment model can be more timely used for mud-rock flow judgment and early warning release, and the false alarm rate of early warning release is reduced.
Some embodiments in this specification issue early warning through early warning receiving module (e.g. cell-phone APP), can guarantee that the user in time receives disaster early warning information, avoided the audible and visual alarm device that is commonly used now reliability low, easy damage simultaneously, and because of its noise interference people's conflict mood scheduling problem.
Drawings
FIG. 1 is an exemplary flow chart of a method for monitoring a lattice vibratory debris flow according to some embodiments of the present invention;
FIG. 2 is an exemplary block diagram of a lattice vibratory debris flow monitoring device according to some embodiments of the present invention;
FIG. 3 is an exemplary block diagram of a vibration sensing device provided in some embodiments of the present invention;
fig. 4 is an exemplary block diagram of an information service system according to some embodiments of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Fig. 1 is an exemplary flowchart of a lattice vibration type debris flow monitoring method according to some embodiments of the present invention. In some embodiments, the flow illustrated in FIG. 1 may be performed by the apparatus illustrated in FIG. 2. As shown in fig. 1, the flow of the lattice vibration type debris flow monitoring method may include the following:
The monitoring data may refer to data obtained by monitoring the debris flow basin. In some embodiments, vibration sensing devices may be deployed in debris flow basins to obtain vibration data and meteorological data. For example, vibration sensing equipment can be arranged at the exposed position of bedrock, vibration data are acquired through a multi-component vibration sensor arranged on the vibration sensing equipment, meanwhile, uninterrupted electric signal sampling with the frequency of 1KHz is carried out on X, Y and the Z in the three-axis direction, the sampling precision reaches 0.01mm/s, and the acquisition of low-frequency vibration acceleration information is realized in a mode of extracting and restoring an effective low-frequency signal after the signal is integrally amplified. The multi-component vibration sensor is a capacitive sensor manufactured by adopting an MEMS technology. In some embodiments, the effective low frequency signal may refer to a low frequency band signal below 300 Hz. In some embodiments, weather sensors may be provided on the vibration sensing device, including but not limited to, rain gauges, anemometers, light sensors, thermometers, barometers, and the like, for acquiring weather data for the monitoring site.
In some embodiments, the plurality of sets of vibration sensing devices form a matrix in the debris flow domain, the plurality of sets of vibration sensing devices can mutually verify monitoring results, and meanwhile, the plurality of sets of vibration sensing devices can analyze the spatial information of the debris flow by combining the monitoring data of the plurality of sets of vibration sensing devices with the spatial position difference. For example, when the plurality of sets of vibration sensing devices each sense the occurrence of the debris flow, the occurrence of the debris flow may be determined. For example, the occurrence point of the debris flow may be determined based on the monitoring data of the plurality of sets of vibration sensing devices.
In some embodiments, the vibration sensing device may include a data processing and transmitting module through which monitoring data acquired by the vibration sensor is transmitted to the information service system. For example, the data acquisition module (vibration sensor), the data processing module and the data transmission module are manufactured through integrated circuits, so that the monitoring data of the sensor are acquired, processed and transmitted. The low-power-consumption processor and the ADC interface are connected with the vibration sensor, so that the electric signals acquired by the sensor can be continuously read and converted into acceleration information through the built-in data processing module. And when the data are collected, the data processing module uses a built-in software algorithm of the Li nux system to package the data according to the frequency of 1 min and store the data in a local memory card. The data transmission module has a data transmission function, accesses the Internet through a 4G/5G cellular network, develops a data interface of a Web terminal based on Java language, and facilitates an information service system to inquire and acquire data through the interface.
After receiving the monitoring data, the information service system can analyze the monitoring data through the data analysis module. In some embodiments, the data analysis may include filtering analysis, spectrum analysis, and other means to determine waveform characteristics and time domain and frequency domain distribution characteristics of the debris flow vibration wave, so as to determine the debris flow through spectrum variation of the vibration wave. For example, the vibration data in the monitored data may be subjected to a fast fourier transform to obtain frequency domain-amplitude data. For example, a data analysis module in an information service platform may analyze time-domain or frequency-domain vibration data of interest to a user by setting a threshold condition. Illustratively, the selected data is subjected to spectrum analysis by adopting a technical means of FFT (fast Fourier transform) to obtain spectrum characteristics. Wherein the selected data may refer to vibration data in a time domain or a frequency domain of interest to the user. For example, vibration data in the frequency domain of 30 to 100Hz.
And 130, determining whether to issue early warning information or not based on the analysis result and the judgment model.
In some embodiments, it may be determined by the early warning issue module whether to issue early warning information. The early warning issuing module can be embedded with a judgment model, the model can be replaced according to the latest improvement, and different judgment standards can be set for different flow domains. For example, after the data analysis module acquires the latest monitoring data in the storage module, spectrum analysis is carried out on the monitoring data at the first time, a spectrum analysis result is brought into the judging model, and abnormal increase multiples of the amplitude within a specific frequency range are used as judging standards to judge the occurrence of the debris flow. And once the result shows that the probability of occurrence of debris flow is high, pushing early warning information to an early warning receiving module.
In some embodiments, for areas where the geological conditions are not significantly different from the earlier investigation region, the expression of the interpretation model may be:
wherein ,
the average amplitude value is in the frequency domain range of fa-fbHz; />
The average amplitude value of fa-fbHz in the frequency domain when no debris flow occurs; fa. fb is the upper and lower limit values of the debris flow vibration wave frequency domain respectively; k is an identification threshold. In some embodiments, the values of fa, fb, and k may be set based on differences in geologic conditions and rock mass properties from those previously studied. The vibration frequency domain of the debris flow event captured in the experimental area in the earlier stage study can be mainly concentrated at 80-100 Hz, and the amplification factor of corresponding frequency domain assignment exceeds 3 times. In some embodiments, after acquiring the monitoring data of the actual installation basin, the corresponding parameters may be modified to promote localization and accuracy of the model. For example, the vibration frequency domain of the captured debris flow event is set in the range of 30 to 100Hz.
And when the expression of the judgment model is true, determining to issue early warning information. For example, debris flow warning information is sent to the user APP. The early warning information may include information such as a level and a safe position of the debris flow.
And when the expression of the judgment model is false, determining that the early warning information is not issued, and continuously monitoring the debris flow basin.
For example, first, based on acceleration time series of three axial directions acquired by a sensor, FFT fast fourier transform is performed on data collected every second, and corresponding frequency domain-amplitude data is acquired. By way of example, 1000 data acquired per second at an acquisition frequency of 1kHz may be used to acquire a frequency-amplitude fourier transform below 500 Hz. Then, the average amplitude value in the frequency domain range of 30-100 Hz is calculated, and compared with the average amplitude value of the corresponding frequency domain under the condition that no debris flow is generated, when the ratio exceeds k times (for example, 3 times) and the duration exceeds 5s, the occurrence of debris flows with different scales is judged, and the larger the ratio is, the larger the occurrence scale of the debris flows is indicated.
In some embodiments, determining whether to issue pre-warning information for an area where geological conditions differ significantly from earlier-studied areas includes:
and performing significance test on the amplitude value array within the frequency domain range of 30-100 Hz to obtain a test parameter t. In some embodiments, the expression to obtain the test parameter t is:
wherein ,
is the average amplitude in the frequency domain of fa-fbHz,/and>
for the average amplitude value in the frequency domain range from fa to fbHz when no debris flow occurs, n to be tested and n are the sample sizes of the amplitude value series and the amplitude value series to be tested when no debris flow occurs respectively, and S to be tested and S are the sample sizes of the amplitude value series to be tested respectivelyFor the variance of the amplitude value series and the amplitude value series to be verified when the debris flow does not occur, fa and fb are respectively the upper limit value and the lower limit value of the debris flow vibration wave frequency domain, and the values are respectively 30Hz and 100Hz. The test may refer to a series of amplitude values in the frequency domain of 30-100 Hz for which the region has not been verified.
Based on the test parameter t and the number of samples, a test threshold table of test parameters t is determined.
The number of samples may refer to the total number of amplitude series in the frequency domain range of 30-100 Hz to be tested. The test threshold table comprises preset amplitude thresholds corresponding to different test parameters t and sample numbers, and the preset amplitude thresholds can be determined in the test threshold table through the test parameters t and the sample numbers.
When the difference between the amplitude value series continuously exceeding the preset time and the amplitude value series when the debris flow does not occur is larger than a preset amplitude value threshold, determining to issue early warning information; otherwise, not issue.
The preset time may refer to a preset time. For example, 5s, when the difference between the amplitude value series and the amplitude value series when no debris flow occurs is greater than a preset amplitude value threshold and the duration is longer than 5s, debris flow warning is sent out.
And 140, if so, sending early warning information based on the occurrence point position of the debris flow and the position information of the user. For example, an influence range of the debris flow may be determined based on the occurrence point of the debris flow, a user who may be influenced by the debris flow may be determined based on the influence range and the position information of the user, and early warning information may be transmitted to the influenced user.
In some embodiments, further comprising obtaining a point of occurrence of the debris flow, comprising:
and determining the monitoring point amplitudes of the positions of the vibration sensing devices and the monitoring distances between the vibration sensing devices and the points to be detected in the channel.
The point to be measured may refer to a point where debris flow may occur. Because the distance between the monitoring device and the debris flow burst is different at different positions, the vibration wave is attenuated gradually along with the increase of the distance from the source, and the amplitude of the earthquake wave received by the monitoring device at different positions may also be different, in some embodiments, the relation between the distance between the vibration sensing device and the source and the amplitude Ai at the position of the vibration sensing device and the amplitude Ao at the source may be:
where r is the distance from the monitoring point at the debris flow burst, ao is the amplitude at the debris flow burst, α is the vibration amplitude decay constant, and is 1 for the bulk wave n and 1/2 for the face wave n.
And based on the amplitude and the monitoring distance of the monitoring points, fitting analysis is carried out on each point to be tested respectively, and a fitting result is obtained.
And determining the occurrence point positions of the debris flow based on the fitting result. For example, the best point of the fitting result can be selected as the occurrence point of the debris flow.
For the monitoring data obtained by the monitoring points, the possible explosion position of each debris flow channel can be taken as an object, the distance ri between each monitoring point is calculated, and if the monitoring points Ai and ri are known, ao and alpha in the formula can be used as constants, the formula can be fitted, and the possibility of the point can be measured according to the fitting result.
Fig. 2 is an exemplary structural diagram of a lattice vibration type debris flow monitoring device according to some embodiments of the present invention. As shown in fig. 2, the lattice vibration type debris flow monitoring device comprises a monitoring data acquisition system and an information service system.
The monitoring data acquisition system comprises a plurality of sets of vibration sensing devices, and the plurality of sets of vibration sensing devices form an array. The monitoring data acquisition system is used for acquiring the monitoring data and transmitting the monitoring data to the information service system. For example, the monitoring data acquisition system may be used to monitor environmental parameters within the debris flow stream and the continuous vibration signal generated as the debris flow occurs.
The information service system is used for determining whether to send the early warning information or not based on the monitoring data. For example, the method is used for storing, displaying, analyzing, judging and early warning information release of monitoring data.
The monitoring data acquisition system can be directly connected with the information service system through the 4G/5G cellular mobile network, and can be accessed into the information service system through the 4G/5G cellular mobile network through the relay station by LoRa wireless transmission in a watershed with poor signals.
Fig. 3 is an exemplary block diagram of a vibration sensing apparatus provided in some embodiments of the present invention. As shown in fig. 3, the vibration sensing apparatus includes a multi-component vibration sensor, a data acquisition module, a data processing module, a data transmission module, a power supply module, and a weather sensor.
The vibration sensor is used for acquiring low-frequency vibration acceleration information. For more on vibration sensors, see fig. 1 and its associated description.
The data acquisition module is used for receiving the low-frequency vibration acceleration information acquired by the vibration sensor and transmitting the information to the data processing module. For more on the data acquisition module, see fig. 1 and its related description.
The data processing module is used for processing the low-frequency vibration acceleration information to obtain a low-frequency vibration data packet. For more on the data processing module, see fig. 1 and its related description.
The data transmission module is used for transmitting the low-frequency vibration data packet to the information service system. For more on the data transmission module, see fig. 1 and its related description.
The power supply module is used for supplying power to other modules in the vibration sensing device. The power supply module comprises a solar panel, a battery control module and a storage battery. The solar panel can be optionally matched with maximum power of 30-300W according to the requirement, and outputs 18V voltage; the storage battery is used for storing the electric quantity generated by the solar panel and outputting electric power at night or under the condition of poor illumination condition; the solar controller is used for intelligently managing the charge and discharge of the storage battery and simultaneously providing 12V/24V weak current power supply for other modules.
The weather sensor is used for acquiring weather information. For more on the weather sensor, see FIG. 1 and its associated description.
Fig. 4 is an exemplary block diagram of an information service system according to some embodiments of the present invention. As shown in fig. 4, the information service system includes a storage module, a display module, a data analysis module, an early warning issuing module and an early warning receiving module. The information service system is mainly based on JavaScript language, websocket technology, postgreSQL and MySQL databases, integrates geographic information service and weather forecast service, is connected with lattice vibration type debris flow monitoring system equipment, and is deployed and operated on a cloud server.
The storage module is used for receiving vibration data transmitted by the monitoring data acquisition system.
The storage module is an important basis of a disaster early warning information service system and is developed based on postgreSQL and MySQL databases. The platform can acquire the monitoring data at fixed time through the information inquiry and acquisition interface provided by the data transmission module in the monitoring system, and store the monitoring data in the storage module. The time interval for data acquisition and storage can be customized, and in general, because the data volume of vibration monitoring data is larger, in order to save the flow, the vibration monitoring data can be acquired and stored according to the longer time interval. When rainfall with certain intensity occurs in the monitored area by combining with meteorological monitoring data, the frequency of data acquisition is increased, delay of early warning information release caused by key information loss is avoided, and trusted service is provided through authority verification.
The display module is used for carrying out online query and display on the vibration data. The module can be consulted in various terminals based on JavaScript and GIS development, and has the functions of calling database data, converting structure table data into two-dimensional table images and providing display service based on account numbers.
The data analysis module is used for carrying out data analysis on the monitoring data to obtain an analysis result; the analysis results are frequency domain-amplitude data. For more on the data analysis module, see fig. 1 and its associated description.
The early warning issuing module is used for determining whether to issue early warning information or not based on the analysis result and the judgment model; if yes, sending early warning information based on the occurrence point position of the debris flow and the position information of the user. For more on the early warning distribution module, see FIG. 1 and its associated description.
The early warning receiving module is used for receiving the early warning information issued by the early warning issuing module. In some embodiments, the early warning receiving module may be an APP on a mobile phone, developed based on the H5 technology, and configured to receive early warning information pushed by the early warning publishing module. For more details on the early warning receiving module, see fig. 1 and its associated description.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The lattice vibration type debris flow monitoring method is characterized by comprising the following steps of:
acquiring monitoring data; the monitoring data are acquired by a plurality of sets of vibration sensing equipment distributed in the debris flow domain; the monitoring data comprises vibration data and meteorological data;
carrying out data analysis on the monitoring data to obtain an analysis result; the analysis result is frequency domain-amplitude data;
determining whether to issue early warning information or not based on the analysis result and the judgment model;
if yes, the early warning information is sent based on the occurrence point position of the debris flow and the position information of the user.
2. The lattice vibratory debris flow monitoring method of claim 1, wherein the plurality of sets of vibration sensing devices form a matrix in a debris flow basin.
3. The lattice vibratory debris flow monitoring method of claim 1, wherein the data analysis is a fast fourier transform of the vibration data to obtain frequency-amplitude data.
4. The lattice vibration type debris flow monitoring method according to claim 1, wherein the expression of the identification model is:
wherein ,
is f a ～f b Average amplitude in the Hz frequency domain;
f a 、f b respectively the upper limit value and the lower limit value of the frequency domain of the debris flow vibration wave; k is a judgment threshold;
when the expression of the judgment model is true, determining to issue the early warning information;
and when the expression of the judgment model is false, determining that the early warning information is not issued.
5. The lattice vibration type debris flow monitoring method according to claim 1, wherein the determining whether to issue the early warning information comprises:
performing significance test on the amplitude value array within the frequency domain range of 30-100 Hz to obtain a test parameter t;
determining an inspection boundary value table of the inspection parameter t based on the inspection parameter t and the sample number; when the difference between the amplitude value series continuously exceeding the preset time and the amplitude value series when the debris flow does not occur is larger than a preset amplitude value threshold, determining to issue early warning information; otherwise, not issue.
6. The lattice vibratory debris flow monitoring method of claim 1, further comprising obtaining a point of occurrence of a debris flow, comprising:
determining monitoring point amplitudes at positions of a plurality of vibration sensing devices and monitoring distances between the plurality of vibration sensing devices and a plurality of points to be detected in a channel;
based on the amplitude of the monitoring point and the monitoring distance, fitting analysis is carried out on each point to be tested respectively to obtain a fitting result;
and determining the occurrence point position of the debris flow based on the fitting result.
7. The lattice vibration type debris flow monitoring device comprises a monitoring data acquisition system and an information service system, and is characterized in that the monitoring data acquisition system comprises a plurality of sets of vibration sensing equipment, and the plurality of sets of vibration sensing equipment form an array;
the monitoring data acquisition system is used for acquiring monitoring data and transmitting the monitoring data to the information service system;
the information service system is used for determining whether to send early warning information or not based on the monitoring data.
8. The lattice vibratory debris flow monitoring device of claim 7, wherein the vibration sensing device comprises a multi-component vibration sensor, a data acquisition module, a data processing module, a data transmission module, a power supply module, and a weather sensor;
the vibration sensor is used for acquiring low-frequency vibration acceleration information;
the data acquisition module is used for receiving the low-frequency vibration acceleration information acquired by the vibration sensor and transmitting the information to the data processing module;
the data processing module is used for processing the low-frequency vibration acceleration information to obtain a low-frequency vibration data packet; the data processing module is also used for processing meteorological data;
the data transmission module is used for transmitting the low-frequency vibration data packet to the information service system;
the power supply module is used for supplying power to other modules in the vibration sensing equipment;
the weather sensor is used for acquiring weather information.
9. The lattice vibration type debris flow monitoring device according to claim 7, wherein the information service system comprises a storage module, a display module, a data analysis module, an early warning issuing module and an early warning receiving module;
the storage module is used for receiving vibration data transmitted by the monitoring data acquisition system;
the display module is used for carrying out online inquiry and display on the vibration data;
the data analysis module is used for carrying out data analysis on the monitoring data to obtain an analysis result; the analysis result is frequency domain-amplitude data;
the early warning issuing module is used for determining whether to issue early warning information or not based on the analysis result and the judgment model; if yes, sending the early warning information based on the occurrence point position of the debris flow and the position information of the user;
the early warning receiving module is used for receiving the early warning information issued by the early warning issuing module.
10. The lattice vibratory debris flow monitoring device of claim 7, wherein the multicomponent vibratory sensor is a capacitive sensor fabricated using MEMS technology.
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