CN113187558B - Mine safety early warning method and device - Google Patents
Mine safety early warning method and device Download PDFInfo
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- CN113187558B CN113187558B CN202110602110.5A CN202110602110A CN113187558B CN 113187558 B CN113187558 B CN 113187558B CN 202110602110 A CN202110602110 A CN 202110602110A CN 113187558 B CN113187558 B CN 113187558B
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 183
- 239000011435 rock Substances 0.000 claims abstract description 87
- 238000005070 sampling Methods 0.000 claims description 41
- 230000007613 environmental effect Effects 0.000 claims description 40
- 238000012549 training Methods 0.000 claims description 25
- 230000004044 response Effects 0.000 claims description 23
- 238000000354 decomposition reaction Methods 0.000 claims description 22
- 238000004590 computer program Methods 0.000 claims description 11
- 230000003068 static effect Effects 0.000 claims description 11
- 238000006073 displacement reaction Methods 0.000 claims description 6
- 230000001133 acceleration Effects 0.000 claims description 4
- 239000000428 dust Substances 0.000 claims description 3
- 239000002341 toxic gas Substances 0.000 claims description 3
- 230000006870 function Effects 0.000 description 13
- 238000013507 mapping Methods 0.000 description 6
- 239000003245 coal Substances 0.000 description 5
- 238000001228 spectrum Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000005422 blasting Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
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Abstract
The invention discloses a mine safety early warning method. The method comprises the following steps: acquiring monitoring signals of a plurality of monitoring areas of a mine, wherein the monitoring areas at least comprise roadway surrounding rocks; inputting the monitoring signal into a target prediction model, and outputting a discrimination parameter by the target prediction model; determining the safety state of the mine according to the judging parameters and preset safety criteria; and generating an early warning signal according to the safety state of the mine, wherein the early warning signal is used for reminding a user of the safety state of the mine. Therefore, monitoring signals of a plurality of monitoring areas of the mine can be obtained, the monitoring signals are input into a target prediction model, the target prediction model outputs discrimination parameters, the safety state of the mine is determined according to the discrimination parameters and safety criteria, and early warning signals are generated according to the safety state of the mine, so that a user is informed of the safety state of the mine in time, the safety of the mine is improved, and the personal safety of the user is guaranteed.
Description
Technical Field
The invention relates to the technical field of coal mining, in particular to a mine safety early warning method, a device, electronic equipment and a storage medium.
Background
Currently, in order to improve the safety of coal mining, the safety of the coal mine needs to be monitored. However, the coal mine safety monitoring method in the related art needs to manually analyze the monitored physical quantity to judge the safety state of the coal mine, has higher labor cost, is easy to make mistakes and has lower intelligent degree.
Disclosure of Invention
The present invention aims to solve at least to some extent one of the technical problems in the above-described technology.
Therefore, an object of the present invention is to provide a mine safety pre-warning method, which can obtain monitoring signals of a plurality of monitoring areas of a mine, input the monitoring signals into a target prediction model, output discrimination parameters by the target prediction model, determine the safety state of the mine according to the discrimination parameters and safety criteria, and generate pre-warning signals according to the safety state of the mine, so as to inform a user of the safety state of the mine in time, improve the safety of the mine, and ensure the personal safety of the user.
A second object of the present invention is to provide a mine safety warning device.
A third object of the present invention is to propose an electronic device.
A fourth object of the present invention is to propose a computer readable storage medium.
An embodiment of a first aspect of the present invention provides a mine safety pre-warning method, including: acquiring monitoring signals of a plurality of monitoring areas of a mine, wherein the monitoring areas at least comprise roadway surrounding rocks, and the monitoring signals comprise at least one of static response signals, dynamic response signals and environmental state signals; inputting the monitoring signal into a target prediction model, and outputting a discrimination parameter by the target prediction model; determining the safety state of the mine according to the judging parameters and preset safety criteria; and generating an early warning signal according to the safety state of the mine, wherein the early warning signal is used for reminding a user of the safety state of the mine.
According to the mine safety pre-warning method provided by the embodiment of the invention, the monitoring signals of a plurality of monitoring areas of the mine can be obtained, the monitoring signals are input into the target prediction model, the target prediction model outputs the discrimination parameters, the safety state of the mine is determined according to the discrimination parameters and the safety criteria, and the pre-warning signals are generated according to the safety state of the mine, so that the safety state of the mine is timely informed to a user, the safety of the mine is improved, and the personal safety of the user is guaranteed.
In addition, the mine safety pre-warning method provided by the embodiment of the invention can also have the following additional technical characteristics:
In one embodiment of the present invention, before the monitoring signal is input into the target prediction model, the method includes: performing wavelet decomposition on the monitoring signal to obtain a decomposed signal; acquiring the environmental noise intensity of the monitoring area corresponding to the monitoring signal, and determining a denoising threshold according to the environmental noise intensity; and reconstructing the decomposed signal based on the denoising threshold value to obtain the denoised monitoring signal.
In one embodiment of the present invention, the determining the denoising threshold according to the environmental noise strength includes: identifying that the environmental noise intensity is larger than a preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed soft threshold value estimation rule; or identifying that the environmental noise intensity is smaller than or equal to the preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed threshold value estimation rule; the denoising threshold is determined based on an estimation rule of the denoising threshold.
In one embodiment of the present invention, the determining the safety state of the mine according to the discrimination parameters and preset safety criteria includes: acquiring the category of the surrounding rock of the roadway; selecting a safety criterion matched with the category of the roadway surrounding rock from the preset safety criteria according to the category of the roadway surrounding rock, and taking the safety criterion as the safety criterion of the roadway surrounding rock; and determining the safety state of the surrounding rock of the roadway according to the discrimination parameters of the surrounding rock of the roadway and the safety criteria of the surrounding rock of the roadway.
In one embodiment of the present invention, further comprising: acquiring a sample monitoring signal and a sample discrimination parameter corresponding to the sample monitoring signal; training a prediction model according to the sample monitoring signal and the sample discrimination parameters until reaching a model training ending condition, and generating the target prediction model.
In one embodiment of the present invention, the acquiring monitoring signals of a plurality of monitoring areas of the mine includes: acquiring a time period in which the current moment is located; identifying the time period as a target time period, and acquiring the monitoring signal according to a first sampling frequency; or identifying the time period as a non-target time period, and acquiring the monitoring signal according to a second sampling frequency, wherein the first sampling frequency is larger than the second sampling frequency.
In one embodiment of the present invention, further comprising: and generating engineering measures according to the safety state of the mine.
An embodiment of a second aspect of the present invention provides a mine safety warning device, including: the acquisition module is used for acquiring monitoring signals of a plurality of monitoring areas of the mine, wherein the monitoring areas at least comprise roadway surrounding rocks, and the monitoring signals comprise at least one of static response signals, dynamic response signals and environment state signals; the input module is used for inputting the monitoring signal into a target prediction model and outputting a discrimination parameter by the target prediction model; the determining module is used for determining the safety state of the mine according to the judging parameters and preset safety criteria; and the early warning module is used for generating an early warning signal according to the safety state of the mine, and the early warning signal is used for reminding a user of the safety state of the mine.
According to the mine safety early warning device provided by the embodiment of the invention, the monitoring signals of a plurality of monitoring areas of the mine can be obtained, the monitoring signals are input into the target prediction model, the target prediction model outputs the discrimination parameters, the safety state of the mine is determined according to the discrimination parameters and the safety criteria, and the early warning signals are generated according to the safety state of the mine, so that the safety state of the mine is timely informed to a user, the safety of the mine is improved, and the personal safety of the user is ensured.
In addition, the mine safety pre-warning device provided by the embodiment of the invention can also have the following additional technical characteristics:
In one embodiment of the invention, the apparatus further comprises: the denoising module is used for: performing wavelet decomposition on the monitoring signal to obtain a decomposed signal; acquiring the environmental noise intensity of the monitoring area corresponding to the monitoring signal, and determining a denoising threshold according to the environmental noise intensity; and reconstructing the decomposed signal based on the denoising threshold value to obtain the denoised monitoring signal.
In one embodiment of the present invention, the denoising module is specifically configured to: identifying that the environmental noise intensity is larger than a preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed soft threshold value estimation rule; or identifying that the environmental noise intensity is smaller than or equal to the preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed threshold value estimation rule; the denoising threshold is determined based on an estimation rule of the denoising threshold.
In one embodiment of the present invention, the determining module is specifically configured to: acquiring the category of the surrounding rock of the roadway; selecting a safety criterion matched with the category of the roadway surrounding rock from the preset safety criteria according to the category of the roadway surrounding rock, and taking the safety criterion as the safety criterion of the roadway surrounding rock; and determining the safety state of the surrounding rock of the roadway according to the discrimination parameters of the surrounding rock of the roadway and the safety criteria of the surrounding rock of the roadway.
In one embodiment of the invention, the apparatus further comprises: training module for: acquiring a sample monitoring signal and a sample discrimination parameter corresponding to the sample monitoring signal; training a prediction model according to the sample monitoring signal and the sample discrimination parameters until reaching a model training ending condition, and generating the target prediction model.
In one embodiment of the present invention, the obtaining module is specifically configured to: acquiring a time period in which the current moment is located; identifying the time period as a target time period, and acquiring the monitoring signal according to a first sampling frequency; or identifying the time period as a non-target time period, and acquiring the monitoring signal according to a second sampling frequency, wherein the first sampling frequency is larger than the second sampling frequency.
In one embodiment of the present invention, the early warning module is further configured to: and generating engineering measures according to the safety state of the mine.
An embodiment of a third aspect of the present invention provides an electronic device, including: the mine safety warning system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the mine safety warning method according to the embodiment of the first aspect of the invention when executing the program.
According to the electronic equipment provided by the embodiment of the invention, the processor executes the computer program stored on the memory, so that the monitoring signals of a plurality of monitoring areas of the mine can be obtained, the monitoring signals are input into the target prediction model, the target prediction model outputs the judging parameters, the safety state of the mine is determined according to the judging parameters and the safety criteria, and the early warning signals are generated according to the safety state of the mine, so that the safety state of the mine is timely informed to a user, the safety of the mine is improved, and the personal safety of the user is guaranteed.
An embodiment of a fourth aspect of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a mine safety warning method according to an embodiment of the first aspect of the present application.
The computer readable storage medium of the embodiment of the invention can acquire the monitoring signals of a plurality of monitoring areas of the mine by storing the computer program and executing the computer program by the processor, inputs the monitoring signals into the target prediction model, outputs the judging parameters by the target prediction model, determines the safety state of the mine according to the judging parameters and the safety criteria, and generates the early warning signals according to the safety state of the mine, thereby informing the safety state of the mine to the user in time, improving the safety of the mine and guaranteeing the personal safety of the user.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a mine safety warning method according to one embodiment of the present invention;
FIG. 2 is a flow chart of acquiring monitoring signals of a plurality of monitoring areas of a mine in a mine safety pre-warning method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a mine safety pre-warning method according to an embodiment of the present invention before a monitoring signal is input into a target prediction model;
FIG. 4 is a schematic diagram of a mine safety warning device according to one embodiment of the present invention; and
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
The following describes a mine safety pre-warning method, a device, an electronic device and a storage medium according to the embodiment of the invention with reference to the accompanying drawings.
Fig. 1 is a flow chart of a mine safety warning method according to an embodiment of the invention.
As shown in fig. 1, the mine safety pre-warning method according to the embodiment of the invention includes:
S101, acquiring monitoring signals of a plurality of monitoring areas of the mine, wherein the monitoring areas at least comprise roadway surrounding rocks, and the monitoring signals comprise at least one of static response signals, dynamic response signals and environment state signals.
In the embodiment of the invention, a plurality of monitoring areas of the mine can be arranged, and the monitoring areas at least comprise surrounding rocks of a roadway. It should be noted that, the monitoring area may be set according to practical situations, and is not limited herein. In one embodiment, the monitoring area includes, but is not limited to, roadway surrounding rock, substation, downhole explosive bank, employee rest area, and the like.
In an embodiment of the invention, monitoring signals of a plurality of monitoring areas of the mine can be obtained, wherein the monitoring signals comprise at least one of static response signals, dynamic response signals and environment state signals. It should be noted that the type of the monitoring signal may be set according to the actual situation, which is not limited herein.
In one embodiment, the static response signal includes, but is not limited to, displacement, stress, strain, the dynamic response signal includes, but is not limited to, displacement, stress, vibration velocity, vibration acceleration, vibration frequency, vibration duration, the environmental status signal includes a primary environmental status signal including, but is not limited to, toxic gas concentration, dust concentration, noise intensity, and a secondary environmental status signal including, but is not limited to, temperature, humidity, wind speed.
In one embodiment, the dynamic response signal comprises a dynamic response signal in a dynamic load scenario such as a blast load, a mechanical shock, or the like.
In one embodiment, acquiring the monitoring signals for the plurality of monitoring areas of the mine may include acquiring a sampling frequency of the monitoring signals according to a type of the monitoring signals, and acquiring the monitoring signals according to the sampling frequency of the monitoring signals. For example, the sampling frequency of the static response signal and the dynamic response signal is higher than the sampling frequency of the primary environmental state signal, which is higher than the sampling frequency of the secondary environmental state signal. Therefore, different types of monitoring signals in the method can correspond to different sampling frequencies, and the flexibility is high.
It is understood that different monitoring areas may correspond to different types of monitoring signals.
S102, inputting the monitoring signal into the target prediction model, and outputting the discrimination parameters by the target prediction model.
In the embodiment of the invention, the judging parameters can be obtained through the target prediction model. It should be noted that the target prediction model may be set according to actual situations, for example, the target prediction model may be a neural network model.
In one embodiment, sample discrimination parameters corresponding to the sample monitoring signal and the sample monitoring signal may be obtained, and the prediction model may be trained according to the sample monitoring signal and the sample discrimination parameters until a model training end condition is reached, so as to generate the target prediction model. The model training ending condition may be set according to practical situations, and is not limited herein, for example, the training frequency reaches a preset frequency threshold, the training error is smaller than a preset error threshold, and the like.
For example, the sample monitoring signal may be input into a prediction model, the prediction model outputs a prediction discrimination parameter, gradient information of the loss function is obtained according to the prediction discrimination parameter and the sample discrimination parameter, and model parameters of the prediction model are updated according to the gradient information until a model training end condition is reached, so as to generate a target prediction model.
In one embodiment, the method further comprises the steps of demodulating, denoising, converting and the like the monitoring signal before the monitoring signal is subjected to wavelet decomposition. For example, the vibration acceleration signal of the surrounding rock of the roadway after denoising can be converted into a vibration speed signal by integral transformation and baseline calibration.
In the embodiment of the invention, the discrimination parameters can be obtained according to the decomposition signals and used for determining the safety state of the mine. It is understood that different monitoring areas may correspond to different discrimination parameters, and the discrimination parameters are used to determine the safety status of the corresponding monitoring areas.
S103, determining the safety state of the mine according to the judging parameters and preset safety criteria.
It should be noted that, if the safety criterion is a reference value of the discrimination parameter, the safety state of the mine can be determined according to the discrimination parameter and the preset safety criterion. The safety criteria may be fixed values or ranges, and are not limited in any way. It will be appreciated that different types of discrimination parameters may correspond to different types of security criteria.
In the embodiment of the invention, determining the safety state of the mine according to the judging parameter and the preset safety criterion can comprise determining the safety state of the monitoring area according to the judging parameter of the monitoring area and the corresponding safety criterion aiming at any monitoring area, and determining the safety state of the mine according to the safety states of a plurality of monitoring areas. Therefore, the safety states of the mine can be determined by comprehensively considering the safety states of the monitoring areas, and the obtained safety states of the mine are more comprehensive and accurate.
In the embodiment of the invention, various types of safety states of the mine can be preset, and the safety states are not limited in any way. For example, taking the safety state of the surrounding rock of the roadway as an example, the relevant engineering regulations can be referred to, 4 safety states of the surrounding rock of the roadway are set, namely long-term stability, basic stability, temporary stability and no self-stability, or 3 safety states of the surrounding rock of the roadway are set, namely a stable state, a local damage state and an overall damage state.
In one embodiment, taking the safety criteria of the roadway surrounding rock as an example, the safety criteria of the roadway surrounding rock include a first preset range, a second preset range and a third preset range, the upper limit value of the first preset range is smaller than the lower limit value of the second preset range, and the upper limit value of the second preset range is smaller than the lower limit value of the third preset range.
Further, the safety state of the surrounding rock of the roadway can be determined according to the discrimination parameters of the surrounding rock of the roadway and the safety criteria of the surrounding rock of the roadway, if the discrimination parameters of the surrounding rock of the roadway are identified to be in a first preset range, the safety state of the surrounding rock of the roadway is determined to be in a stable state, or the discrimination parameters of the surrounding rock of the roadway are identified to be in a second preset range, the safety state of the surrounding rock of the roadway is determined to be in a local damage state, or the discrimination parameters of the surrounding rock of the roadway are identified to be in a third preset range, and the safety state of the surrounding rock of the roadway is determined to be in a whole damage state.
S104, generating an early warning signal according to the safety state of the mine, wherein the early warning signal is used for reminding a user of the safety state of the mine.
In the embodiment of the invention, the early warning signal can be generated according to the safety state of the mine, and the early warning signal is used for reminding a user of the safety state of the mine. It will be appreciated that different mine safety conditions may correspond to different warning signals. It should be noted that the type of the early warning signal is not limited too much, for example, the early warning signal includes but is not limited to a light signal, a voice signal, a text signal, and the like.
In one embodiment, taking the generation of the early warning signal according to the safety state of the surrounding rock of the roadway as an example, when the safety state of the surrounding rock of the roadway is a stable state, the early warning signal only comprises a light signal, and the color of the light signal is green; when the safety state of the surrounding rock of the roadway is a local damage state, the early warning signals comprise light signals and voice signals, the color of the light signals is yellow, and the voice signals are short-time and intermittent voice signals; when the safety state of the surrounding rock of the roadway is in an integral damage state, the early warning signals comprise light signals and voice signals, the color of the light signals is red, and the voice signals are sharp and uninterrupted voice signals.
In one embodiment, the pre-warning signals may include pre-warning signals for users in the monitoring area, pre-warning signals for users in the downhole monitoring room, pre-warning signals for users in the uphole monitoring room, etc. to alert the user of the mine in the monitoring area, downhole monitoring room, uphole monitoring room, respectively, of the safety status.
In summary, according to the mine safety pre-warning method provided by the embodiment of the invention, the monitoring signals of a plurality of monitoring areas of the mine can be obtained, the monitoring signals are input into the target prediction model, the judgment parameters are output by the target prediction model, the safety state of the mine is determined according to the judgment parameters and the safety criteria, and the pre-warning signals are generated according to the safety state of the mine, so that the safety state of the mine is timely informed to a user, the safety of the mine is improved, and the personal safety of the user is guaranteed.
On the basis of any of the above embodiments, as shown in fig. 2, acquiring monitoring signals of a plurality of monitoring areas of a mine in step S101 includes:
S201, acquiring a time period where the current moment is located.
In the embodiment of the invention, a day can be divided into a plurality of time periods in advance, and the division mode is not excessively limited.
In one embodiment, acquiring the time period in which the current time is located may include acquiring a plurality of candidate time periods divided in advance, and determining the time period in which the current time is located from the plurality of candidate time periods.
S202, identifying the time period as a target time period, and acquiring a monitoring signal according to a first sampling frequency.
S203, identifying the time period as a non-target time period, and acquiring a monitoring signal according to a second sampling frequency, wherein the first sampling frequency is larger than the second sampling frequency.
In the embodiment of the invention, the time period can be divided into a target time period and a non-target time period, wherein the target time period corresponds to a first sampling frequency, the non-target time period corresponds to a second sampling frequency, and the first sampling frequency is larger than the second sampling frequency. Therefore, different time periods can correspond to different sampling frequencies, and the flexibility is high.
Further, the monitoring signal is acquired according to the first sampling frequency by identifying the time period as a target time period or according to the second sampling frequency by identifying the time period as a non-target time period.
It is understood that the other time periods than the target time period are non-target time periods.
It should be noted that, the target time period may be set according to practical situations, and is not limited herein too. For example, the target time period may be set to (t-0.5 h, t+1h), where t is the moment of blasting and h is hours.
It should be noted that, the first sampling frequency and the second sampling frequency may be set according to practical situations, which is not limited herein. For example, the first sampling frequency may be set to 500Hz (hertz) and the second sampling frequency may be set to 300Hz.
Therefore, in the method, when the time period of the current moment is identified as the target time period, the monitoring signal is acquired according to the first sampling frequency, and when the time period of the current moment is identified as the non-target time period, the monitoring signal is acquired according to the second sampling frequency, and compared with the monitoring signal acquired according to the fixed sampling frequency in the related technology, the sampling frequency of the non-target time period is lower, the data volume is greatly reduced, and the data storage space can be saved.
On the basis of any of the above embodiments, as shown in fig. 3, before the monitor signal is input into the target prediction model in step S102, the method includes:
s301, performing wavelet decomposition on the monitoring signal to obtain a decomposed signal.
In one embodiment, the decomposition signal may include wavelet decomposition coefficients.
In one embodiment, performing wavelet decomposition on the monitoring signal includes selecting a wavelet basis function and a wavelet decomposition layer number, and performing wavelet decomposition on the monitoring signal according to the selected wavelet basis function to obtain a decomposition signal if the selected wavelet decomposition layer number is j.
In one embodiment, the wavelet basis function may be selected based on the type of monitoring signal. For example, the wavelet basis function corresponding to the vibration velocity signal in the dynamic response signal may be a db4-db7 wavelet basis function.
S302, acquiring the environmental noise intensity of a monitoring area corresponding to the monitoring signal, and determining a denoising threshold according to the environmental noise intensity.
In the embodiment of the invention, the environmental noise intensity of the monitoring area corresponding to the monitoring signal can be obtained, and the denoising threshold value is determined according to the environmental noise intensity. Therefore, the influence of the environmental noise intensity of the monitored area on the denoising threshold value can be considered, and the obtained denoising threshold value is more accurate.
In one embodiment, determining the denoising threshold according to the environmental noise strength includes identifying that the environmental noise strength is greater than a preset strength threshold, indicating that the environmental noise strength is greater, and determining the denoising threshold estimation rule as a fixed soft threshold estimation rule. Or recognizing that the environmental noise intensity is smaller than or equal to a preset intensity threshold, indicating that the environmental noise intensity is smaller, and determining the estimation rule of the denoising threshold as a fixed threshold estimation rule. Wherein the fixed threshold estimation rules include a fixed soft threshold estimation rule and a fixed hard threshold estimation rule. Further, the denoising threshold may be determined based on an estimation rule of the denoising threshold.
It should be noted that, the preset intensity threshold, the fixed soft threshold estimation rule, and the fixed threshold estimation rule may be set according to actual situations, which are not limited too much.
In one embodiment, the ambient noise strength includes, but is not limited to, current ambient noise strength, historical ambient noise strength, and the like. Therefore, the influence of the current environmental noise intensity and the historical environmental noise intensity on the denoising threshold value can be comprehensively considered, and the obtained denoising threshold value is more accurate.
In one embodiment, the ambient noise intensity of the monitored area may be obtained by a sound level meter disposed in the monitored area.
S303, reconstructing the decomposed signal based on the denoising threshold value to obtain a denoised monitoring signal.
In one embodiment, each layer of wavelet decomposition coefficients of wavelet decomposition may be obtained from the decomposition signal, and the wavelet decomposition coefficients may be reconstructed based on a denoising threshold to obtain a denoised monitoring signal.
Therefore, the method can determine the denoising threshold according to the environmental noise intensity of the monitoring area corresponding to the monitoring signal, and reconstruct the signal based on the denoising threshold to obtain the denoised monitoring signal.
On the basis of any one of the above embodiments, determining the safety state of the mine according to the discrimination parameters and the preset safety criteria in step S103 includes obtaining the category of the surrounding rock of the roadway, selecting the safety criteria matched with the category of the surrounding rock of the roadway from the preset safety criteria according to the category of the surrounding rock of the roadway, and determining the safety state of the surrounding rock of the roadway according to the discrimination parameters of the surrounding rock of the roadway and the safety criteria of the surrounding rock of the roadway as the safety criteria of the surrounding rock of the roadway.
In one embodiment, obtaining the category of the roadway surrounding rock may include performing wavelet decomposition on the monitoring signal of the roadway surrounding rock to obtain a decomposition signal of the roadway surrounding rock, obtaining an energy density function according to the decomposition signal of the roadway surrounding rock, and determining the category of the roadway surrounding rock according to the energy density function.
In one embodiment, obtaining the energy density function from the decomposed signal of the roadway surrounding rock may include obtaining an energy distribution of a signal frequency domain from the decomposed signal, and obtaining the energy density function from the energy distribution of the signal frequency domain. Wherein the energy distribution of the signal frequency domain may comprise a band energy ratio.
In one embodiment, determining the class of roadway surrounding rock from the energy density function may include calculating a wavelet energy spectrum from the energy density function and determining the class of roadway surrounding rock from the wavelet energy spectrum. It will be appreciated that different classes of roadway surrounding rock may correspond to different wavelet energy spectra, and that the class of roadway surrounding rock may be determined from the wavelet energy spectra in the present invention.
In the embodiment of the invention, different types of roadway surrounding rocks can correspond to different safety criteria, and the flexibility is high. According to the category of the surrounding rock of the roadway, selecting a safety criterion matched with the category of the surrounding rock of the roadway from preset safety criteria, taking the safety criterion as the safety criterion of the surrounding rock of the roadway, and determining the safety state of the surrounding rock of the roadway according to the discrimination parameters of the surrounding rock of the roadway and the safety criterion of the surrounding rock of the roadway.
On the basis of any embodiment, after determining the safety state of the mine, engineering measures are generated according to the safety state of the mine.
It is understood that different safety states of the same monitoring area may correspond to different engineering measures, and different monitoring areas may correspond to different engineering measures.
In one embodiment, a mapping relation or mapping table between the safety state of the monitoring area and the engineering measures may be established in advance, and after the safety state of the monitoring area is obtained, the mapping relation or mapping table is queried, so that the engineering measures of the monitoring area can be obtained. It should be noted that, the mapping relationship or the mapping table may be set according to the actual situation, which is not limited herein.
In one embodiment, engineering measures of the roadway surrounding rock can be generated according to the category and the safety state of the roadway surrounding rock. Therefore, the method can comprehensively consider the influence of the category and the safety state of the surrounding rock of the roadway on engineering measures, and the obtained engineering measures are more accurate.
The engineering measures of the roadway surrounding rock can comprise surrounding rock supporting measures. It should be noted that, the type of the surrounding rock supporting measure is not excessively limited, for example, the surrounding rock supporting measure can be a spray anchor supporting measure, and the method has the advantages of timely supporting, small occupied space, convenient construction, low cost and the like.
Therefore, the method can automatically generate engineering measures according to the safety state of the mine, so that a user can construct according to the engineering measures, and the degree of automation is high.
In order to realize the embodiment, the invention also provides a mine safety pre-warning device.
Fig. 4 is a schematic structural view of a mine safety warning device according to an embodiment of the present invention.
As shown in fig. 4, a mine safety warning device 100 according to an embodiment of the present invention includes: the system comprises an acquisition module 110, an input module 120, a determination module 130 and an early warning module 140.
An acquisition module 110, configured to acquire monitoring signals of a plurality of monitoring areas of the mine, where the monitoring areas include at least roadway surrounding rock, and the monitoring signals include at least one of a static response signal, a dynamic response signal, and an environmental status signal;
The input module 120 is configured to input the monitoring signal into a target prediction model, and output a discrimination parameter by the target prediction model;
A determining module 130, configured to determine a safety state of the mine according to the discrimination parameters and a preset safety criterion;
And the early warning module 140 is used for generating an early warning signal according to the safety state of the mine, and the early warning signal is used for reminding a user of the safety state of the mine.
In one embodiment of the invention, the apparatus further comprises: the denoising module is used for: performing wavelet decomposition on the monitoring signal to obtain a decomposed signal; acquiring the environmental noise intensity of the monitoring area corresponding to the monitoring signal, and determining a denoising threshold according to the environmental noise intensity; and reconstructing the decomposed signal based on the denoising threshold value to obtain the denoised monitoring signal.
In one embodiment of the present invention, the denoising module is specifically configured to: identifying that the environmental noise intensity is larger than a preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed soft threshold value estimation rule; or identifying that the environmental noise intensity is smaller than or equal to the preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed threshold value estimation rule; the denoising threshold is determined based on an estimation rule of the denoising threshold.
In one embodiment of the present invention, the determining module 130 is specifically configured to: acquiring the category of the surrounding rock of the roadway; selecting a safety criterion matched with the category of the roadway surrounding rock from the preset safety criteria according to the category of the roadway surrounding rock, and taking the safety criterion as the safety criterion of the roadway surrounding rock; and determining the safety state of the surrounding rock of the roadway according to the discrimination parameters of the surrounding rock of the roadway and the safety criteria of the surrounding rock of the roadway.
In one embodiment of the invention, the apparatus further comprises: training module for: acquiring a sample monitoring signal and a sample discrimination parameter corresponding to the sample monitoring signal; training a prediction model according to the sample monitoring signal and the sample discrimination parameters until reaching a model training ending condition, and generating the target prediction model.
In one embodiment of the present invention, the obtaining module 110 is specifically configured to: acquiring a time period in which the current moment is located; identifying the time period as a target time period, and acquiring the monitoring signal according to a first sampling frequency; or identifying the time period as a non-target time period, and acquiring the monitoring signal according to a second sampling frequency, wherein the first sampling frequency is larger than the second sampling frequency.
In one embodiment of the present invention, the early warning module 140 is further configured to: and generating engineering measures according to the safety state of the mine.
It should be noted that, for details not disclosed in the mine safety pre-warning device in the embodiment of the present invention, please refer to details disclosed in the mine safety pre-warning method in the embodiment of the present invention, and details are not described here again.
In summary, the mine safety early warning device provided by the embodiment of the invention can acquire the monitoring signals of a plurality of monitoring areas of the mine, input the monitoring signals into the target prediction model, output the discrimination parameters by the target prediction model, determine the safety state of the mine according to the discrimination parameters and the safety criteria, and generate the early warning signals according to the safety state of the mine, so that the safety state of the mine is timely informed to a user, the safety of the mine is improved, and the personal safety of the user is ensured.
In order to implement the above embodiments, as shown in fig. 5, an embodiment of the present invention proposes an electronic device 200, including: the mine safety warning method is realized by the processor 220 when the processor 220 executes the program.
According to the electronic equipment provided by the embodiment of the invention, the processor executes the computer program stored on the memory, so that the monitoring signals of a plurality of monitoring areas of the mine can be obtained, the monitoring signals are input into the target prediction model, the target prediction model outputs the judging parameters, the safety state of the mine is determined according to the judging parameters and the safety criteria, and the early warning signals are generated according to the safety state of the mine, so that the safety state of the mine is timely informed to a user, the safety of the mine is improved, and the personal safety of the user is guaranteed.
In order to achieve the above embodiments, an embodiment of the present invention provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the mine safety warning method described above.
The computer readable storage medium of the embodiment of the invention can acquire the monitoring signals of a plurality of monitoring areas of the mine by storing the computer program and executing the computer program by the processor, inputs the monitoring signals into the target prediction model, outputs the judging parameters by the target prediction model, determines the safety state of the mine according to the judging parameters and the safety criteria, and generates the early warning signals according to the safety state of the mine, thereby informing the safety state of the mine to the user in time, improving the safety of the mine and guaranteeing the personal safety of the user.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In the present invention, unless expressly stated or limited otherwise, a first feature "up" or "down" a second feature may be the first and second features in direct contact, or the first and second features in indirect contact via an intervening medium. Moreover, a first feature being "above," "over" and "on" a second feature may be a first feature being directly above or obliquely above the second feature, or simply indicating that the first feature is level higher than the second feature. The first feature being "under", "below" and "beneath" the second feature may be the first feature being directly under or obliquely below the second feature, or simply indicating that the first feature is less level than the second feature.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (8)
1. The mine safety pre-warning method is characterized by comprising the following steps of:
Acquiring monitoring signals of a plurality of monitoring areas of a mine, wherein the monitoring areas at least comprise roadway surrounding rocks, the monitoring signals comprise at least one of static response signals, dynamic response signals and environment state signals, the static response signals comprise displacement, stress and strain, the dynamic signals comprise displacement, stress, vibration speed, vibration acceleration, vibration frequency and vibration duration, the environment state signals comprise primary environment state signals and secondary environment state signals, the primary environment state signals comprise toxic gas concentration, dust concentration and noise intensity, and the secondary environment state signals comprise temperature, humidity and wind speed;
Inputting the monitoring signal into a target prediction model, and outputting a discrimination parameter by the target prediction model, wherein the training of the target prediction model comprises the following steps: acquiring a sample monitoring signal corresponding to the monitoring signal and a sample discrimination parameter corresponding to the sample monitoring signal, training a prediction model according to the sample monitoring signal and the sample discrimination parameter until a model training ending condition is reached, and generating the target prediction model, wherein the model training ending condition comprises that the training times reach a preset time threshold or the training error is smaller than a preset error threshold;
determining the safety state of the mine according to the judging parameters and preset safety criteria;
generating an early warning signal according to the safety state of the mine, wherein the early warning signal is used for reminding a user of the safety state of the mine;
Before the monitoring signal is input into the target prediction model, the method comprises the following steps:
Performing wavelet decomposition on the monitoring signal to obtain a decomposed signal;
Acquiring the environmental noise intensity of the monitoring area corresponding to the monitoring signal, and determining a denoising threshold according to the environmental noise intensity;
And reconstructing the decomposed signal based on the denoising threshold value to obtain the denoised monitoring signal.
2. The method of claim 1, wherein said determining a denoising threshold from said environmental noise strength comprises:
Identifying that the environmental noise intensity is larger than a preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed soft threshold value estimation rule; or identifying that the environmental noise intensity is smaller than or equal to the preset intensity threshold value, and determining an estimation rule of the denoising threshold value as a fixed threshold value estimation rule;
The denoising threshold is determined based on an estimation rule of the denoising threshold.
3. The method of claim 1, wherein said determining the safety status of the mine based on the discrimination parameters and a preset safety criterion comprises:
Acquiring the category of the surrounding rock of the roadway;
selecting a safety criterion matched with the category of the roadway surrounding rock from the preset safety criteria according to the category of the roadway surrounding rock, and taking the safety criterion as the safety criterion of the roadway surrounding rock;
and determining the safety state of the surrounding rock of the roadway according to the discrimination parameters of the surrounding rock of the roadway and the safety criteria of the surrounding rock of the roadway.
4. A method according to any one of claims 1 to 3, wherein the acquiring monitoring signals for a plurality of monitoring areas of the mine comprises:
Acquiring a time period in which the current moment is located;
identifying the time period as a target time period, and acquiring the monitoring signal according to a first sampling frequency; or alternatively
And identifying the time period as a non-target time period, and acquiring the monitoring signal according to a second sampling frequency, wherein the first sampling frequency is larger than the second sampling frequency.
5. A method according to any one of claims 1-3, further comprising:
And generating engineering measures according to the safety state of the mine.
6. A mine safety precaution device, comprising:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring monitoring signals of a plurality of monitoring areas of a mine, the monitoring areas at least comprise roadway surrounding rocks, the monitoring signals comprise at least one of static response signals, dynamic response signals and environment state signals, the static response signals comprise displacement, stress and strain, the dynamic signals comprise displacement, stress, vibration speed, vibration acceleration, vibration frequency and vibration duration, the environment state signals comprise primary environment state signals and secondary environment state signals, the primary environment state signals comprise toxic gas concentration, dust concentration and noise intensity, and the secondary environment state signals comprise temperature, humidity and wind speed;
The input module is used for inputting the monitoring signal into a target prediction model, and outputting the discrimination parameters by the target prediction model, and training of the target prediction model comprises the following steps: acquiring a sample monitoring signal corresponding to the monitoring signal and a sample discrimination parameter corresponding to the sample monitoring signal, training a prediction model according to the sample monitoring signal and the sample discrimination parameter until a model training ending condition is reached, and generating the target prediction model, wherein the model training ending condition comprises that the training times reach a preset time threshold or the training error is smaller than a preset error threshold;
The determining module is used for determining the safety state of the mine according to the judging parameters and preset safety criteria;
The early warning module is used for generating an early warning signal according to the safety state of the mine, and the early warning signal is used for reminding a user of the safety state of the mine;
Before the monitoring signal is input into the target prediction model, the method comprises the following steps:
Performing wavelet decomposition on the monitoring signal to obtain a decomposed signal;
Acquiring the environmental noise intensity of the monitoring area corresponding to the monitoring signal, and determining a denoising threshold according to the environmental noise intensity;
And reconstructing the decomposed signal based on the denoising threshold value to obtain the denoised monitoring signal.
7. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the mine safety warning method of any one of claims 1-5 when the program is executed.
8. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the mine safety warning method of any one of claims 1-5.
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