A geological disaster early warning method, system, computer and readable storage medium

Abstract

The present invention provides a geological disaster early warning method, system, computer and readable storage medium, the method comprising obtaining geological disaster warning information; performing error self-diagnosis on the warning signal, and judging whether the warning signal meets a first preset condition based on the error self-diagnosis result; judging the authenticity of the monitoring data, and judging whether the monitoring data meets a second preset condition based on the authenticity judgment result; if the warning signal meets the first preset condition and the monitoring data meets the second preset condition, then reporting the geological disaster warning information to achieve geological disaster early warning. The present invention assists in completing the comprehensive judgment of geological disasters through error self-diagnosis of the warning signal and authenticity judgment of the detection data, reduces the probability of false alarms of geological disasters, improves the credibility of geological disaster early warnings, and achieves efficient and accurate early warning of geological disasters.

Description

Technical Field

[0001] The present invention belongs to the technical field of civil engineering geological disaster monitoring and early warning, and specifically relates to a geological disaster early warning method, system, equipment and readable storage medium. Background Art

[0002] Geological disasters refer to geological actions or phenomena formed under the influence of natural or human factors, which cause losses to human life and property and damage to the environment. The distribution and change patterns of geological disasters in time and space are both subject to the natural environment and related to human activities. They are often the result of the interaction between humans and nature.

[0003] Patent CN202110880554.5 provides a dangerous rock mass combined with sound and light intelligent monitoring and early warning method, which is used to monitor the dangerous rock mass in real time. At the same time, when the dangerous rock mass collapses, an alarm signal is issued in the first time, and the dangerous area is displayed to the threatened people and a safe escape route is pointed out;

[0004] Patent CN201810359058.3 proposes an early warning and forecasting monitoring system and method based on the combination of big data computing analysis and image recognition. By selecting critical geological disaster images from geological disaster maps occurring in different regions, the critical key dimensions that affect the movement of the disaster body are extracted, and the characteristic data threshold is further obtained to form an image database. The image database is used as a reference for effective disaster warning.

[0005] None of the above-mentioned public patents take into account the false alarms caused by equipment abnormalities and unreasonable early warning criteria, which will increase nuisance incidents and reduce the credibility of geological disaster early warnings for nearby residents. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a geological disaster early warning method, system, device and readable storage medium, which are used to solve the technical problems existing in the prior art.

[0007] In the first aspect, the invention provides the following technical solution, a geological disaster early warning method, the method comprising:

[0008] Acquire geological disaster warning information, wherein the warning information at least includes a warning signal of a geological disaster warning device and monitoring data of a geological disaster monitoring device;

[0009] Performing an error self-diagnosis on the alarm signal, and judging whether the alarm signal meets a first preset condition based on the error self-diagnosis result;

[0010] Performing authenticity judgment on the monitoring data, and judging whether the monitoring data meets a second preset condition based on the authenticity judgment result;

[0011] If the alarm signal meets the first preset condition and the monitoring data meets the second preset condition, the geological disaster alarm information is reported to achieve geological disaster early warning.

[0012] Compared with the prior art, the beneficial effects of the present application are as follows: the present application performs error self-diagnosis on the alarm signal of the geological disaster alarm equipment and judges the authenticity of the monitoring data of the geological disaster monitoring equipment, so that in the process of geological disaster early warning, the situation where the early warning judgment is unreasonable due to equipment abnormalities and monitoring data abnormalities is taken into account, thereby reducing the probability of false alarm events in the process of geological disaster monitoring, improving the credibility of geological disaster early warning, and realizing efficient and accurate early warning of geological disaster early warning. At the same time, the geological disaster early warning method provided by the present invention does not need to contact the on-site group defense personnel to confirm the dangerous situation as soon as possible, reduces the alarm analysis time, improves the data analysis efficiency of geological disaster early warning, and realizes semi-automatic early warning dangerous situation identification.

[0013] Preferably, the step of performing error self-diagnosis on the alarm signal and judging whether the alarm signal meets the first preset condition based on the error self-diagnosis result includes:

[0014] According to the alarm signal, the alarm status of the geological disaster alarm device is obtained;

[0015] Monitoring the warning device to obtain the monitoring status of the geological disaster warning device;

[0016] Determine whether the alarm state is consistent with the monitoring state, and if the alarm state is inconsistent with the monitoring state, cancel the alarm signal.

[0017] Preferably, the step of performing error self-diagnosis on the alarm signal to determine whether the alarm signal meets the first preset condition further comprises:

[0018] Obtain real-time and historical images of geological disaster sites;

[0019] Calculate the green plant coverage area of ​​the real-time image and the historical image according to the green plant area algorithm;

[0020] Calculating the difference between the green plant coverage area of ​​the real-time image and the green plant coverage area of ​​the historical image, and dividing the difference by the green plant coverage area of ​​the historical image to obtain a green plant reduction ratio;

[0021] Determining whether the green plant reduction ratio is less than a preset ratio, and if the green plant reduction ratio is not less than the preset ratio, canceling the alarm signal;

[0022] If the green plant reduction ratio is less than a preset ratio and the alarm state is consistent with the monitoring state, the alarm signal satisfies the first preset condition.

[0023] Preferably, the step of judging the authenticity of the monitoring data and judging whether the monitoring data meets the second preset condition based on the authenticity judgment result includes:

[0024] Acquire environmental information of the monitoring site of the geological disaster monitoring equipment, wherein the environmental information at least includes cracks, inclination, surface displacement, and rainfall of the monitoring site;

[0025] Perform data mutation identification, trend identification, and correlation analysis on the monitoring data, locate the cause of the alarm and output the alarm conclusion;

[0026] According to the alarm conclusion, it is determined whether the monitoring data is normal; if the monitoring data is abnormal, the monitoring data satisfies the second preset condition.

[0027] Preferably, before the step of performing data mutation identification, trend identification, correlation analysis on the monitoring data, locating the alarm cause and outputting the alarm conclusion, the method further includes:

[0028] Obtaining the real-time position and historical position of the geological disaster monitoring equipment;

[0029] Calculating a posture change value of the geological disaster monitoring device according to the real-time posture and the historical posture;

[0030] Determine whether the posture change value is less than the preset change value. If so, continue to execute the steps of identifying data mutations, trends, and correlation analysis on the monitoring data, locating the cause of the alarm, and outputting the alarm conclusion.

[0031] Preferably, in the steps of verifying the position and posture of the geological disaster monitoring equipment, identifying data mutations, trends, and correlation analysis on the monitoring data, locating the cause of the alarm and outputting the alarm conclusion, the steps of identifying data mutations, trends, and correlation analysis on the monitoring data include:

[0032] Data mutation identification: determining whether the data value in the monitoring data is within a first preset range. If the data value is not within the first preset range, the data value is regarded as a data mutation value, and the monitoring data is abnormal.

[0033] Trend identification: performing trend identification on each data group in the monitoring data, wherein the data group includes more than three data values, plotting the data values ​​in the data group into a data curve, and calculating the slope of the data curve, determining whether the slope is within a second preset range, and if the slope is not within the second preset range, the data group is considered to be an abnormal trend, and the monitoring data is abnormal;

[0034] Correlation analysis: draw each data group in the monitoring data into a data curve, perform correlation analysis on the data curve, change the external environment, calculate the numerical change value of the data group after the external environment changes, and determine whether the numerical change value is within a third preset range. If the numerical change value is not within the third preset range, then the monitoring data is abnormal.

[0035] In the second aspect, the invention provides the following technical solution, a geological disaster early warning system, the system comprising:

[0036] An acquisition module is used to acquire geological disaster warning information, wherein the warning information at least includes a warning signal of a geological disaster warning device and monitoring data of a geological disaster monitoring device;

[0037] A diagnosis module, configured to perform an error self-diagnosis on the alarm signal, and determine whether the alarm signal satisfies a first preset condition based on the error self-diagnosis result;

[0038] A judgment module, used to judge the authenticity of the monitoring data, and judge whether the monitoring data meets a second preset condition based on the authenticity judgment result;

[0039] The early warning module is used to report the geological disaster warning information if the alarm signal meets the first preset condition and the monitoring data meets the second preset condition, so as to realize geological disaster early warning.

[0040] In the third aspect, the invention provides the following technical solution: a computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned geological disaster warning method when executing the computer program.

[0041] In a fourth aspect, the invention provides the following technical solution: a readable storage medium having a computer program stored thereon, and the computer program implements the above-mentioned geological disaster warning method when executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0043] Figure 1 The process of the geological disaster early warning method provided by the first embodiment of the present invention Figure 1 ;

[0044] Figure 2The process of the geological disaster early warning method provided by the first embodiment of the present invention Figure 2 ;

[0045] Figure 3 The process of the geological disaster early warning method provided by the first embodiment of the present invention Figure 3 ;

[0046] Figure 4 The process of the geological disaster early warning method provided by the first embodiment of the present invention Figure 4 ;

[0047] Figure 5 The process of the geological disaster early warning method provided by the first embodiment of the present invention Figure 5 ;

[0048] Figure 6 A structural block diagram of a geological disaster early warning system provided by a second embodiment of the present invention;

[0049] Figure 7 A schematic diagram of the hardware structure of a computer provided in another embodiment of the present invention.

[0050] The embodiments of the present invention will be further described below with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the embodiments of the present invention, and should not be construed as limiting the present invention.

[0052] In the description of the embodiments of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0053] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0054] In the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the embodiments of the present invention can be understood according to specific circumstances.

[0055] Embodiment 1

[0056] like Figure 1 As shown, in the first embodiment of the present invention, the invention provides the following technical solution, a geological disaster early warning method, the method comprising:

[0057] S10, obtaining geological disaster warning information, wherein the warning information at least includes a warning signal of a geological disaster warning device and monitoring data of a geological disaster monitoring device;

[0058] Specifically, the geological disaster early warning method is mainly applied to a geological disaster early warning device, and the geological disaster early warning device at least includes a geological disaster warning device and a geological disaster monitoring device. The geological disaster monitoring device is used to monitor various environmental data in areas prone to geological disasters, such as cracks, displacements, inclinations, pressures, etc., and the geological disaster warning device is equipped with an alarm, which can emit an alarm sound to remind group defense personnel that there is a risk of geological disasters in the area;

[0059] S20, performing error self-diagnosis on the alarm signal, and judging whether the alarm signal meets a first preset condition based on the error self-diagnosis result;

[0060] like Figure 2 As shown, step S2 includes:

[0061] S211, obtaining the alarm status of the geological disaster alarm device according to the alarm signal;

[0062] Among them, the alarm signal can be a signal sent by the geological disaster alarm device based on the risk of geological disasters determined by the monitoring data. The signal can be specifically embodied as a buzzer or an alarm sound. Therefore, the alarm status of the geological disaster alarm device generally has two types. One is that there is a risk of geological disasters in the monitored area, so a signal is sent to the geological disaster alarm device. If there is no abnormality in the geological disaster alarm device, it will issue an alarm sound. The other is that the monitoring risk is lower than that of no geological disasters, so no signal is sent to the geological disaster alarm device. If there is no abnormality in the geological disaster alarm device, it will not issue an alarm sound.

[0063] S212, monitoring the warning device to obtain the monitoring status of the geological disaster warning device;

[0064] Specifically, the alarm sound emitted by the geological disaster warning device can be completed through a monitor here, so there are two monitoring states of the geological disaster warning device, one is to monitor the alarm sound emitted by the geological disaster warning device, and the other is to monitor that the geological disaster warning device does not emit an alarm sound.

[0065] S213, determining whether the alarm state is consistent with the monitoring state, and if the alarm state is inconsistent with the monitoring state, canceling the alarm signal;

[0066] Specifically, in this step, in order to eliminate the situation where the geological disaster warning device itself is fixed and causes a false alarm, it is necessary to determine whether the alarm state of the geological disaster warning device is consistent with the monitoring state. When the alarm state of the geological disaster warning device is inconsistent with the monitoring state, that is, the geological disaster warning device receives the signal but does not sound an alarm or the geological disaster warning device does not receive the signal but sounds an alarm, resulting in the alarm state of the geological disaster warning device being inconsistent with the monitoring state, at this time, it is determined that the geological disaster warning device has a fault, the alarm signal is canceled, and the geological disaster warning device is immediately shut down and repaired by forced action to avoid disturbing the public;

[0067] When the alarm status of the geological disaster warning device is consistent with the monitoring status, the geological disaster warning device receives the signal and issues a corresponding alarm sound. At this time, the monitor also listens to the corresponding alarm sound. At this time, it is determined that there is no abnormality in the geological disaster warning device and the subsequent steps can be continued.

[0068] like Figure 3 As shown, the step S2 also includes:

[0069] S221, obtaining real-time images and historical images of the geological disaster site;

[0070] Here, the real-time image of the geological disaster site refers to the image monitored in the current monitoring time period, and the historical image of the geological disaster site refers to the image monitored in a time period before the current monitoring time period.

[0071] S222, calculating the green plant coverage area of ​​the real-time image and the historical image according to a green plant area algorithm;

[0072] Among them, after obtaining the real-time image and the historical image, according to the actual environment, the green plants appear green in the real-time image and the historical image, the land appears yellow, and other equipment is divided into different color areas according to their actual colors. The green plant area algorithm is specifically to use a computer to outline the edge contours of the area occupied by the green plant color in the real-time image and the historical image, and calculate its proportion in the entire image. This proportion can be equivalent to the green plant coverage area of ​​the real-time image or the historical image.

[0073] S223, calculating the difference between the green plant coverage area of ​​the real-time image and the green plant coverage area of ​​the historical image, and dividing the difference by the green plant coverage area of ​​the historical image to obtain a green plant reduction ratio;

[0074] Specifically, the proportion of the area occupied by green plants in the real-time image is calculated minus the proportion of the area occupied by green plants in the historical image. This difference may be a negative value. Therefore, when calculating the proportion of green plant reduction, the difference needs to be taken as the absolute value and divided by the proportion of the area occupied by green plants in the historical image to obtain the proportion of green plant reduction.

[0075] S224, determining whether the green plant reduction ratio is less than a preset ratio, and if the green plant reduction ratio is not less than the preset ratio, canceling the alarm signal;

[0076] Specifically, this preset ratio is 5%. Once the green plant reduction ratio calculated in step S223 is less than the preset ratio, it can be judged that the risk of geological disasters in the shooting areas of the real-time images and historical images is low. At the same time, in the real-time early warning process, the specific value of the green plant reduction ratio can be divided into different levels, and thus the corresponding early warning levels can be divided into several levels. When the green plant reduction ratio is 5% to 8%, it is a level three alarm; when the green plant reduction ratio is 8% to 10%, it is a level two alarm; when the green plant reduction ratio is greater than 10%, it is a level one alarm. When it is a level three alarm, the risk of a geological disaster is medium; when it is a level two alarm, the risk of a geological disaster is high; and when it is a level one alarm, the risk of a geological disaster is extremely high or even has already occurred.

[0077] S225: If the green plant reduction ratio is less than a preset ratio and the alarm state is consistent with the monitoring state, then the alarm signal meets the first preset condition;

[0078] Specifically, by comparing the alarm status and the monitoring status, it is possible to determine whether the geological disaster alarm equipment is abnormal, and by comparing the green plant reduction ratio with the preset ratio, it is possible to assist in determining whether the geological disaster alarm equipment is abnormal, which can greatly avoid false alarms caused by equipment failures. At the same time, by mastering the alarm status and monitoring status of the alarm equipment as well as real-time images and historical images, it can ensure that on-site operation and maintenance personnel can grasp the on-site situation in a timely manner, reducing the probability of false alarms.

[0079] S30, performing error self-diagnosis on the alarm signal, and judging whether the alarm signal meets a first preset condition based on the error self-diagnosis result;

[0080] like Figure 4 As shown, step S3 includes:

[0081] S310, obtaining environmental information of the monitoring site of the geological disaster monitoring equipment, wherein the environmental information at least includes cracks, inclination, surface displacement, and rainfall of the monitoring site;

[0082] Among them, the geological disaster monitoring equipment monitors various environmental data of the monitoring site, and can be used to judge the risk of geological disasters occurring in the monitoring site according to the specific size and development trend of the specific values ​​of the above data, thereby realizing the early warning process of geological disasters.

[0083] S320, performing data mutation identification, trend identification, and correlation analysis on the monitoring data, locating the alarm cause and outputting the alarm conclusion;

[0084] like Figure 5 As shown, before step S320, the method includes:

[0085] S311, obtaining the real-time position and historical position of the geological disaster monitoring equipment;

[0086] The real-time position and posture of the geological disaster monitoring equipment here refers to the position and posture of the geological disaster monitoring equipment when the monitoring data of this period is obtained, and the historical position and posture of the geological disaster monitoring equipment is the initial installation position of the geological disaster monitoring equipment.

[0087] S312, calculating a posture change value of the geological disaster monitoring device according to the real-time posture and the historical posture;

[0088] As time goes by, with the movement of the ground at the monitoring site and the settlement of the land, there will be changes between the real-time posture and the historical posture, and the change in posture during this process is the posture change value.

[0089] S313, determining whether the posture change value is less than a preset change value, and if so, continuing to perform the steps of identifying data mutations, trends, and correlation analysis on the monitoring data, locating the cause of the alarm, and outputting the alarm conclusion;

[0090] During the long-term monitoring process, the position and posture of the monitoring equipment will always produce some changes or disturbances. As long as the change does not exceed the preset allowable change value, the data monitored by the monitoring equipment can be used as the actual monitoring data to execute subsequent steps. Once the change exceeds the preset change value, the posture of the monitoring data and the real-time posture will be greatly changed. Therefore, the monitored data cannot accurately reflect the actual parameters of the monitoring site. Therefore, it is necessary for the group defense personnel to timely adjust the installation position of the monitoring equipment to make it the same as the historical posture.

[0091] Among them, by performing data mutation identification, trend identification, and correlation analysis on the monitoring data, the cause of the geological disaster risk can be obtained, and the final warning conclusion can be drawn. This conclusion is generally that the monitoring data is abnormal and there is a risk of geological disasters, or the monitoring data is normal and there is no risk of geological disasters;

[0092] Specifically, data mutation identification: determine whether the data value in the monitoring data is within the first preset range. If the data value is not within the first preset range, the data value is regarded as a data mutation value. The monitoring data is abnormal. Once a data value monitored therein mutates, it can be determined that the parameters of the influencing factors of the data value may mutate in a short period of time. The influencing factors may be cracks, inclination, surface displacement, rainfall, and there is a risk of causing geological disasters.

[0093] Trend identification: trend identification is performed on each data group in the monitoring data. The data group includes more than three data values. The data values ​​in the data group are plotted into a data curve, and the slope of the data curve is calculated to determine whether the slope is within the second preset range. If the slope is not within the second preset range, the data group is considered to have an abnormal trend. The monitoring data is abnormal. When the slope exceeds the second preset range, it means that the data in the data group has increased or decreased significantly, which leads to a dramatic change in the trend of the data group. The effect of this change is reflected in the fact that the parameters of the influencing factors of the data values ​​in the data group will increase or decrease significantly. The influencing factors may be cracks, inclination, surface displacement, and rainfall, which may cause the risk of geological disasters.

[0094] Correlation analysis: draw each data group in the monitoring data into a data curve, perform correlation analysis on the data curve, change the external environment, calculate the value change value of the data group after the external environment changes, and judge whether the value change value is within the third preset range. If the value change value is not within the third preset range, the monitoring data is abnormal. Similarly, after performing correlation analysis on the data curve drawn by the data group, the change amount between two adjacent data can be known in the data curve, and it is judged whether the change amount is within the third preset range. If it is not within the third preset range, the parameters of the influencing factors of the data value with too large or too small change amount are greatly increased or decreased. The influencing factors may be cracks, inclination angles, surface displacements, and rainfall, which may cause the risk of geological disasters;

[0095] After performing data mutation identification, trend identification, and correlation analysis on the monitoring data, an influencing factor that may change dramatically in a short period of time can be obtained. This parameter is the influencing cause that may lead to geological disasters, that is, the alarm cause that causes the alarm. At the same time, based on the conclusions of the corresponding data mutation identification, trend identification, and correlation analysis, it can be concluded whether the monitoring data is abnormal and whether there is a risk of geological disasters.

[0096] S330, judging whether the monitoring data is normal according to the alarm conclusion; if the monitoring data is abnormal, the monitoring data meets the second preset condition;

[0097] Specifically, only when there are abnormalities in the monitoring data will there be a risk of geological disasters, thus satisfying the second preset condition.

[0098] S40, if the alarm signal meets the first preset condition and the monitoring data meets the second preset condition, reporting the geological disaster alarm information to achieve geological disaster early warning;

[0099] Specifically, when the alarm signal meets the first preset condition and the monitoring data meets the second preset condition, it means that the geological disaster alarm equipment and the geological disaster monitoring equipment are both fault-free and in normal working condition. At the same time, the posture of the geological disaster monitoring equipment will not change greatly, and the images of the geological disaster site are normal. Only when the above conditions are met can the effective alarm process be entered, and the geological disaster alarm information can be reported and the site can be informed to take risk avoidance measures to achieve geological disaster early warning.

[0100] In summary, the geological disaster warning method provided in this embodiment performs error self-diagnosis on the alarm signal of the geological disaster warning equipment and judges the authenticity of the monitoring data of the geological disaster monitoring equipment. In this way, in the process of geological disaster warning, the situation where the warning judgment is unreasonable due to equipment abnormalities and monitoring data abnormalities is taken into account, thereby reducing the probability of false alarm events in the geological disaster monitoring process, improving the credibility of the geological disaster warning, and realizing efficient and accurate geological disaster warning. At the same time, the geological disaster warning method provided by the present invention does not need to contact the on-site group defense personnel to confirm the dangerous situation as soon as possible, reducing the alarm analysis time, improving the data analysis efficiency of the geological disaster warning, and realizing semi-automatic warning dangerous situation identification.

[0101] Embodiment 2

[0102] like Figure 6 As shown, a second embodiment of the present invention provides a geological disaster early warning system, the system comprising:

[0103] An acquisition module 10 is used to acquire geological disaster warning information, wherein the warning information at least includes a warning signal of a geological disaster warning device and monitoring data of a geological disaster monitoring device;

[0104] A diagnostic module 20, configured to perform an error self-diagnosis on the alarm signal, and determine whether the alarm signal satisfies a first preset condition based on the error self-diagnosis result;

[0105] A judgment module 30, configured to judge the authenticity of the monitoring data, and judge whether the monitoring data meets a second preset condition based on the authenticity judgment result;

[0106] The early warning module 40 is used to report the geological disaster warning information if the alarm signal meets the first preset condition and the monitoring data meets the second preset condition, so as to realize geological disaster early warning.

[0107] Wherein, the diagnostic module 20 includes:

[0108] A first status submodule, used to obtain the alarm status of the geological disaster alarm device according to the alarm signal;

[0109] The second status submodule is used to monitor the alarm device to obtain the monitoring status of the geological disaster alarm device;

[0110] The state determination submodule is used to determine whether the alarm state is consistent with the monitoring state, and if the alarm state is inconsistent with the monitoring state, cancel the alarm signal.

[0111] The diagnostic module 20 further includes:

[0112] The image acquisition submodule is used to obtain real-time images and historical images of the geological disaster site;

[0113] A first calculation submodule, used to calculate the green plant coverage area of ​​the real-time image and the historical image according to a green plant area algorithm;

[0114] a second calculation submodule, configured to calculate a difference between the green plant coverage area of ​​the real-time image and the green plant coverage area of ​​the historical image, and divide the difference by the green plant coverage area of ​​the historical image to obtain a green plant reduction ratio;

[0115] a ratio determination submodule, used to determine whether the green plant reduction ratio is less than a preset ratio, and if the green plant reduction ratio is not less than the preset ratio, canceling the alarm signal;

[0116] The first preset determination module is used to determine that if the green plant reduction ratio is less than a preset ratio and the alarm state is consistent with the monitoring state, then the alarm signal meets the first preset condition.

[0117] The judging module 30 further includes:

[0118] An environment acquisition submodule, used to acquire the environment information of the monitoring site of the geological disaster monitoring equipment, wherein the environment information at least includes cracks, inclination, surface displacement, and rainfall of the monitoring site;

[0119] The conclusion submodule is used to identify data mutations, trends, and correlations of the monitoring data, locate the cause of the alarm, and output the alarm conclusion;

[0120] The data determination submodule is used to determine whether the monitoring data is normal according to the alarm conclusion. If the monitoring data is abnormal, the monitoring data meets the second preset condition.

[0121] The judging module 30 also includes:

[0122] A posture acquisition submodule, used to obtain the real-time posture and historical posture of the geological disaster monitoring equipment;

[0123] A third calculation submodule is used to calculate a posture change value of the geological disaster monitoring device according to the real-time posture and the historical posture;

[0124] The second preset judgment module determines whether the posture change value is less than the preset change value. If so, it continues to execute the steps of identifying data mutations, trends, and correlation analysis on the monitoring data, locating the cause of the alarm and outputting the alarm conclusion.

[0125] In some other embodiments of the present invention, the embodiments of the present invention provide the following technical solutions: a computer, comprising a memory 102, a processor 101, and a computer program stored in the memory 102 and executable on the processor 101; the processor 101 implements the above-mentioned geological disaster warning method when executing the computer program.

[0126] Specifically, the processor 101 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0127] Among them, the memory 102 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 102 may include a hard disk drive (HDD), a floppy disk drive, a solid state drive (SSD), a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 102 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 102 may be inside or outside a data processing device. In a specific embodiment, the memory 102 is a non-volatile memory. In a specific embodiment, the memory 102 includes a read-only memory (ROM) and a random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Programmable Read-Only Memory, PROM for short), an erasable PROM (ErasableProgrammable Read-Only Memory, EPROM for short), an electrically erasable PROM (Electrically ErasableProgrammable Read-Only Memory, EEPROM for short), an electrically alterable ROM (ElectricallyAlterable Read-Only Memory, EAROM for short) or a flash memory (FLASH) or a combination of two or more of these. Under appropriate circumstances, the RAM can be a static random access memory (SRAM) or a dynamic random access memory (DRAM), wherein the DRAM can be a fast page mode dynamic random access memory (FPMDRAM), an extended data output dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0128] The memory 102 may be used to store or cache various data files that need to be processed and / or used for communication, as well as possible computer program instructions executed by the processor 101 .

[0129] The processor 101 implements the above-mentioned geological disaster early warning method by reading and executing the computer program instructions stored in the memory 102.

[0130] In some embodiments, the computer may further include a communication interface 103 and a bus 100. Figure 7 As shown, the processor 101, the memory 102, and the communication interface 103 are connected via a bus 100 and communicate with each other.

[0131] The communication interface 103 is used to implement communication between the modules, devices, units and / or equipment in the embodiment of the present application. The communication interface 103 can also implement data communication with other components such as: external devices, image / data acquisition equipment, databases, external storage, and image / data processing workstations.

[0132] The bus 100 includes hardware, software or both, and couples the components of the computer device to each other. The bus 100 includes but is not limited to at least one of the following: a data bus, an address bus, a control bus, an expansion bus, and a local bus. By way of example and not limitation, bus 100 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of the above. Where appropriate, bus 100 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0133] The computer can execute the geological disaster warning method of the present application based on the geological disaster warning system obtained, thereby realizing the early warning of geological disasters.

[0134] In some further embodiments of the present invention, in combination with the above-mentioned geological disaster early warning method, the embodiments of the present invention provide the following technical solutions: a readable storage medium having a computer program stored thereon, and the computer program implements the above-mentioned geological disaster early warning method when executed by a processor.

[0135] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0136] More specific examples of readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0137] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0138] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0139] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A geological disaster early warning method, characterized in that: The method comprises: Acquire geological disaster warning information, wherein the warning information at least includes a warning signal of a geological disaster warning device and monitoring data of a geological disaster monitoring device; Performing an error self-diagnosis on the alarm signal, and judging whether the alarm signal meets a first preset condition based on the error self-diagnosis result; Performing authenticity judgment on the monitoring data, and judging whether the monitoring data meets a second preset condition based on the authenticity judgment result; If the alarm signal meets the first preset condition and the monitoring data meets the second preset condition, the geological disaster alarm information is reported to achieve geological disaster early warning; The step of judging the authenticity of the monitoring data and judging whether the monitoring data meets the second preset condition based on the authenticity judgment result includes: Acquire environmental information of the monitoring site of the geological disaster monitoring equipment, wherein the environmental information at least includes cracks, inclination, surface displacement, and rainfall of the monitoring site; Perform data mutation identification, trend identification, and correlation analysis on the monitoring data, locate the cause of the alarm and output the alarm conclusion; According to the alarm conclusion, judging whether the monitoring data is normal, if the monitoring data is abnormal, the monitoring data meets the second preset condition; The steps of performing data mutation identification, trend identification, and correlation analysis on the monitoring data include: Data mutation identification: determining whether the data value in the monitoring data is within a first preset range. If the data value is not within the first preset range, the data value is regarded as a data mutation value, and the monitoring data is abnormal. Trend identification: performing trend identification on each data group in the monitoring data, wherein the data group includes more than three data values, plotting the data values ​​in the data group into a data curve, and calculating the slope of the data curve, determining whether the slope is within a second preset range, and if the slope is not within the second preset range, the data group is considered to be an abnormal trend, and the monitoring data is abnormal; Correlation analysis: draw each data group in the monitoring data into a data curve, perform correlation analysis on the data curve, change the external environment, calculate the numerical change value of the data group after the external environment changes, and determine whether the numerical change value is within a third preset range. If the numerical change value is not within the third preset range, then the monitoring data is abnormal.

2. The geological disaster early warning method according to claim 1, characterized in that: The step of performing error self-diagnosis on the alarm signal and judging whether the alarm signal meets the first preset condition based on the error self-diagnosis result includes: According to the alarm signal, the alarm status of the geological disaster alarm device is obtained; Monitoring the warning device to obtain the monitoring status of the geological disaster warning device; Determine whether the alarm state is consistent with the monitoring state, and if the alarm state is inconsistent with the monitoring state, cancel the alarm signal.

3. The geological disaster early warning method according to claim 2, characterized in that: The step of performing error self-diagnosis on the alarm signal to determine whether the alarm signal meets the first preset condition further includes: Obtain real-time and historical images of geological disaster sites; Calculate the green plant coverage area of ​​the real-time image and the historical image according to the green plant area algorithm; Calculating the difference between the green plant coverage area of ​​the real-time image and the green plant coverage area of ​​the historical image, and dividing the difference by the green plant coverage area of ​​the historical image to obtain a green plant reduction ratio; Determining whether the green plant reduction ratio is less than a preset ratio, and if the green plant reduction ratio is not less than the preset ratio, canceling the alarm signal; If the green plant reduction ratio is less than a preset ratio and the alarm state is consistent with the monitoring state, the alarm signal satisfies the first preset condition.

4. The geological disaster early warning method according to claim 1, characterized in that: Before the step of performing data mutation identification, trend identification, and correlation analysis on the monitoring data, locating the alarm cause, and outputting the alarm conclusion, the method further includes: Obtaining the real-time position and historical position of the geological disaster monitoring equipment; Calculating a posture change value of the geological disaster monitoring device according to the real-time posture and the historical posture; Determine whether the posture change value is less than the preset change value. If so, continue to execute the steps of identifying data mutations, trends, and correlation analysis on the monitoring data, locating the cause of the alarm, and outputting the alarm conclusion.

5. A geological disaster early warning system, the system adopts the geological disaster early warning method according to claim 1, characterized in that: The system comprises: An acquisition module is used to acquire geological disaster warning information, wherein the warning information at least includes a warning signal of a geological disaster warning device and monitoring data of a geological disaster monitoring device; A diagnosis module, configured to perform an error self-diagnosis on the alarm signal, and determine whether the alarm signal satisfies a first preset condition based on the error self-diagnosis result; A judgment module, used to judge the authenticity of the monitoring data, and judge whether the monitoring data meets a second preset condition based on the authenticity judgment result; The early warning module is used to report the geological disaster warning information if the alarm signal meets the first preset condition and the monitoring data meets the second preset condition, so as to realize geological disaster early warning.

6. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the geological disaster early warning method as described in any one of claims 1 to 4 is implemented.

7. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the geological disaster early warning method according to any one of claims 1 to 4 is implemented.

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