CN116030600A - INSAR-based geological disaster intelligent monitoring method and system - Google Patents
INSAR-based geological disaster intelligent monitoring method and system Download PDFInfo
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Abstract
The invention discloses an INSAR-based geological disaster intelligent monitoring method and system, comprising a geological information acquisition module, a weather information acquisition module, an ISNSR monitoring module, a position information acquisition module, an image acquisition module, a data processing module, a comprehensive analysis module, a general control module and an information sending module; the geological information acquisition module is used for acquiring geological information, wherein the geological information comprises geological type information, soil water content information, the number of holes and the area of the holes; the weather information acquisition module is used for acquiring weather information in a preset time length of a monitoring position, the position information is used for acquiring position information of a monitoring place, and the image acquisition module is used for acquiring real-time image information of the monitoring place when the monitoring place is a slope; and the ISNSR monitoring module is used for collecting the surface deformation information of the monitored area. The intelligent monitoring system and the intelligent monitoring method can more intelligently and comprehensively monitor the geological disasters, and effectively reduce damage caused by the geological disasters.
Description
Technical Field
The invention relates to the field of geological monitoring, in particular to an INSAR-based geological disaster intelligent monitoring method and system.
Background
Geological disasters are geological effects or geological phenomena formed under the action of natural or human factors, which cause loss of human lives and properties and damage to the environment. The distribution change rule of the geological disaster in time and space is not only limited by natural environment, but also related to human activities, and is often the result of interaction between human beings and the natural world;
the geological disaster monitoring method and system can be used in the geological disaster monitoring process by monitoring the state of the target area, namely monitoring the occurrence possibility of geological disasters, and timely alarming can effectively reduce the loss caused by the geological disasters.
The existing geological disaster monitoring method and system are single in monitoring type and monitoring mode, small in application range and capable of bringing a certain influence to the use of the geological disaster monitoring method and system, and therefore the intelligent geological disaster monitoring method and system based on INSAR are provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problems that the existing geological disaster monitoring method and system are single in monitoring type and monitoring mode and small in application range and bring a certain influence to the use of the geological disaster monitoring method and system, and provides an INSAR-based geological disaster intelligent monitoring method and system.
The invention solves the technical problems through the following technical scheme that the intelligent monitoring system comprises a geological information acquisition module, a weather information acquisition module, an ISNSR monitoring module, a position information acquisition module, an image acquisition module, a data processing module, a comprehensive analysis module, a general control module and an information sending module;
the geological information acquisition module is used for acquiring geological information, wherein the geological information comprises geological type information, soil water content information, the number of holes and the area of the holes;
the weather information acquisition module is used for acquiring weather information in a preset time length of a monitoring position, the position information is used for acquiring position information of a monitoring place, and the image acquisition module is used for acquiring real-time image information of the monitoring place when the monitoring place is a slope;
the ISNSR monitoring module is used for collecting the surface deformation information of the monitored area;
the data processing module is used for processing the geological information to generate geological evaluation data, processing the weather information to generate weather evaluation data, processing the position information to obtain position evaluation data, processing the real-time image information to generate image evaluation data, and processing the surface deformation information to obtain monitoring point data;
the comprehensive analysis module is used for processing the geological evaluation data and the weather information to generate geological evaluation information, cavity evaluation information and weather abnormality information, processing the geological evaluation data and the weather information to generate position evaluation information, processing the image evaluation data to generate sloping field evaluation information and processing the monitoring point data to generate monitoring point early warning information;
after the geological evaluation information, the weather abnormality information, the position evaluation information, the sloping field evaluation information and the monitoring point early warning information are generated, the master control module controls the information sending module to send the geological evaluation information, the weather abnormality information, the position evaluation information, the sloping field evaluation information and the monitoring point early warning information to a preset receiving terminal.
Further, the geological evaluation information comprises primary geological information, secondary geological information and tertiary geological information, and the cavity evaluation information comprises first cavity information, second cavity information and third cavity information.
Further, the specific processing procedure of the geological evaluation information is as follows:
step one: extracting the acquired geological information, and acquiring geological type information and soil water content information from the geological information;
step two, a step two is carried out; marking geological type information as Z, and marking soil water content information as P;
step three: when the geological type information Z is a warning type and the soil water content information P is larger than a preset value, three-level geological information is generated;
step four: when the geological type information Z is a warning type, the soil water content information P is within a preset value range, namely secondary geological information is generated, and when the geological type information Z is a non-warning type, the soil water content information P is larger than a preset value, namely secondary geological information is generated;
step five: when the geological type information Z is a non-warning type, the first-level geological information is generated when the soil water content information P is smaller than a preset value.
Further, the specific processing procedure of the hole evaluation information is as follows: the method comprises the steps of obtaining the number of holes and the area of the holes from geological information, marking the number of holes as G, marking the area of the holes as F, calculating the number of holes G and the area of the holes F to obtain hole parameter information, generating third hole information when the number of holes G is smaller than a preset value and the hole parameter is larger than the preset value, generating third hole information no matter what the hole parameter is, generating second hole information when the number of holes G is in a preset value range and the hole parameter information is smaller than the preset value, and generating first hole information when the number of holes G is smaller than the preset value and the hole parameter information is smaller than the preset value;
the specific processing process of the weather abnormality information is as follows: the method comprises the steps of extracting weather information in a preset time period, generating weather abnormality information when the rainfall in unit time in the weather information in the preset time period is larger than a warning value, and generating the weather abnormality information when the snowfall in unit time in the weather information in the preset time period is larger than the warning value and the temperature is larger than the preset temperature.
Further, the specific processing procedure of the hole parameter information is as follows: g cavity areas F are extracted, and the sum of the G cavity areas F is calculated to obtain the total cavity area range, namely cavity parameter information.
Further, the location evaluation information includes location normal information and location abnormal information, and the specific processing procedure of the location evaluation information is as follows: uploading the collected position information of the monitored place to the Internet, searching whether the place has preset types of behaviors, generating position abnormal information when the preset types of behaviors exist, and generating position normal information when the preset types of behaviors do not exist.
The sloping field evaluation information comprises first sloping field information, second sloping field information and third sloping field information, and the specific processing process of the sloping field evaluation information is as follows: the method comprises the steps of extracting collected image information, processing the image information, obtaining included angle information of a sloping field and a horizontal plane, marking the included angle information as alpha, processing the image information, obtaining green planting coverage area information of the sloping field, marking the green planting coverage area information as Q, generating third sloping field information no matter what the green planting coverage area information Q is when the included angle information is in a preset range A1, generating third sloping field information when the included angle information is in a preset range A2, enabling the green planting coverage area information Q to be smaller than a preset area, generating second sloping field information when the included angle information is in a preset range A2, enabling the green planting coverage area information Q to be larger than the preset area when the included angle information is in a preset range A3, and generating first sloping field information.
Further, the specific processing process of the monitoring point early warning information is as follows: extracting ground surface deformation information of a monitoring point, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of a target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and generating early warning information of the monitoring point when any one of the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification is abnormal.
An INSAR-based geological disaster intelligent monitoring method comprises the following steps:
step one: collecting geological information, and position information of a weather information monitoring place within a preset time length of a monitoring position, and collecting real-time image information of the monitoring place and ground surface deformation information of the monitoring place when the monitoring place is a slope;
step two: processing the geological information to generate geological evaluation data, processing the weather information to generate weather evaluation data, processing the position information to obtain position evaluation data, processing the real-time image information to generate image evaluation data, and processing the surface deformation information to obtain monitoring point data;
step three: then, processing the geological evaluation data and the weather information to generate geological evaluation information, cavity evaluation information and weather abnormality information, processing the geological evaluation data and the weather information to generate position evaluation information, processing the image evaluation data to obtain sloping field evaluation information, and processing the monitoring point data to generate monitoring point early warning information;
step four: after geological evaluation information, weather abnormality information, position evaluation information, sloping field evaluation information and monitoring point early warning information are generated, the information is sent to a preset receiving terminal.
Compared with the prior art, the invention has the following advantages: according to the INSAR-based geological disaster intelligent monitoring method and system, by collecting geological information of a monitored area, analysis is carried out on the geological information to generate corresponding geological rating information, a user can intuitively know whether the geological disaster easily occurs in the monitored area according to the geological state, meanwhile, the weather information of the monitored area is collected, analysis is carried out on the weather information, the user can know the weather state of the monitored area, timely warn is given out, loss caused by the geological disaster which occurs due to abnormal weather is reduced, image information of the monitored area in a sloping area is collected, gradient information and vegetation coverage state of the monitored area are known, and grade information of the slope information and the vegetation coverage state are analyzed to obtain the grade information of the monitored area, so that whether the area is a high risk area of the geological disaster can be known through the grade information, an alarm can be given out timely, loss caused by the geological disaster is reduced, meanwhile, the ground surface deformation information obtained through INSAR technology is matched for processing, the monitored area is monitored in real time, timely warning is given out when the monitored area is abnormal, comprehensive geological disaster intelligent monitoring is realized, and the system is more worthy of popularization and use is guaranteed.
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Fig. 1 is a system block diagram of the present invention.
Description of the embodiments
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an INSAR-based geological disaster intelligent monitoring system comprises a geological information acquisition module, a weather information acquisition module, an ISNSR monitoring module, a position information acquisition module, an image acquisition module, a data processing module, a comprehensive analysis module, a master control module and an information sending module;
the geological information acquisition module is used for acquiring geological information, wherein the geological information comprises geological type information, soil water content information, the number of holes and the area of the holes;
the weather information acquisition module is used for acquiring weather information in a preset time length of a monitoring position, the position information is used for acquiring position information of a monitoring place, and the image acquisition module is used for acquiring real-time image information of the monitoring place when the monitoring place is a slope;
the ISNSR monitoring module is used for collecting the surface deformation information of the monitored area;
the data processing module is used for processing the geological information to generate geological evaluation data, processing the weather information to generate weather evaluation data, processing the position information to obtain position evaluation data, processing the real-time image information to generate image evaluation data, and processing the surface deformation information to obtain monitoring point data;
the comprehensive analysis module is used for processing the geological evaluation data and the weather information to generate geological evaluation information, cavity evaluation information and weather abnormality information, processing the geological evaluation data and the weather information to generate position evaluation information, processing the image evaluation data to generate sloping field evaluation information and processing the monitoring point data to generate monitoring point early warning information;
after the geological evaluation information, the weather abnormality information, the position evaluation information, the sloping field evaluation information and the monitoring point early warning information are generated, the master control module controls the information sending module to send the geological evaluation information, the weather abnormality information, the position evaluation information, the sloping field evaluation information and the monitoring point early warning information to a preset receiving terminal;
according to the invention, by collecting the geological information of the monitored area, analyzing the geological information to generate the corresponding geological rating information, a user can intuitively know whether the monitored area is easy to generate geological disasters according to the geological state, meanwhile, the weather information of the monitored area is collected, the weather information is analyzed, the user can know the weather state of the monitored area, timely warn, reduce the loss caused by the geological disasters caused by abnormal weather, collect the image information of the monitored area in the slope area, know the slope information and vegetation coverage state, analyze the slope information and vegetation coverage state to obtain the rating information, and know whether the area is a geological disaster high risk area according to the rating information, so that an alarm is timely sent out, the loss caused by the geological disasters is reduced, meanwhile, the ground surface deformation information obtained by INSAR technology is matched for processing, the geological state information of the monitored area is monitored in real time, the intelligent monitoring is realized, and the geological safety of the monitored area is ensured.
The geological evaluation information comprises primary geological information, secondary geological information and tertiary geological information, and the cavity evaluation information comprises first cavity information, second cavity information and third cavity information.
The specific processing process of the geological evaluation information is as follows:
step one: extracting the acquired geological information, and acquiring geological type information and soil water content information from the geological information;
step two, a step two is carried out; marking geological type information as Z, and marking soil water content information as P;
step three: when the geological type information Z is a warning type and the soil water content information P is larger than a preset value, three-level geological information is generated;
step four: when the geological type information Z is a warning type, the soil water content information P is within a preset value range, namely secondary geological information is generated, and when the geological type information Z is a non-warning type, the soil water content information P is larger than a preset value, namely secondary geological information is generated;
step five: when the geological type information Z is a non-warning type, generating first-level geological information when the soil water content information P is smaller than a preset value;
through the process, the primary geological information, the secondary geological information and the tertiary geological information are acquired, the primary geological information indicates that the geological state is normal, the possibility of occurrence of geological disasters is small, real-time monitoring is not needed, the secondary geological information indicates that the geology is abnormal, the possibility of occurrence of geological disasters is high, periodic monitoring is needed, the secondary geological information indicates that the geology is abnormal, the possibility of occurrence of the high-probability geological disasters is high, and real-time monitoring is needed.
The specific processing process of the cavity evaluation information is as follows: the method comprises the steps of obtaining the number of holes and the area of the holes from geological information, marking the number of holes as G, marking the area of the holes as F, calculating the number of holes G and the area of the holes F to obtain hole parameter information, generating third hole information when the number of holes G is smaller than a preset value and the hole parameter is larger than the preset value, generating third hole information no matter what the hole parameter is, generating second hole information when the number of holes G is in a preset value range and the hole parameter information is smaller than the preset value, and generating first hole information when the number of holes G is smaller than the preset value and the hole parameter information is smaller than the preset value;
the first cavity information, namely the small quantity of the underground cavity range of the monitoring land, namely the normal geological state, the second cavity information, namely the abnormal geological state of the monitoring land, needs to be collected and evaluated regularly, and the third cavity information, namely the marked monitoring land, possibly belongs to a geological disaster high-incidence area and needs to be monitored in real time so as to ensure the safety;
the specific processing process of the weather abnormality information is as follows: the method comprises the steps of extracting weather information in a preset time period, generating weather abnormality information when the rainfall in unit time in the weather information in the preset time period is larger than a warning value, and generating the weather abnormality information when the snowfall in unit time in the weather information in the preset time period is larger than the warning value and the temperature is larger than the preset temperature.
The specific processing process of the cavity parameter information is as follows: g cavity areas F are extracted, the sum of the G cavity areas F is calculated, namely, the total cavity area range is obtained, namely, cavity parameter information is obtained;
through the above process, the total area range of the cavity, namely cavity parameter information, can be obtained, and the larger the total area range of the cavity is, namely the higher the possibility of geological disasters occurring in the ground is.
The position evaluation information comprises position normal information and position abnormal information, and the specific processing process of the position evaluation information is as follows: uploading the collected position information of the monitored place to the Internet, searching whether the place has preset types of behaviors, generating position abnormal information when the preset types of behaviors exist, and generating position normal information when the preset types of behaviors do not exist;
through the information, whether the monitored places have events such as irregular mining resources and the like or not can be known, fewer reserved ore pillars are reserved when the mining resources are irregular, mining holes collapse, mountain cracks and landslide occurs; in the construction of constructing highways, mountain-based building houses and the like, artificial high steep side slopes are formed, and landslides are caused; landslide debris flow occurs due to leakage of reservoirs and channels in mountainous areas; other activities which destroy the soil environment, such as quarrying, loading by stacking, cutting, and abusing, are also disaster causes of geological disasters, so that whether the geological disasters easily occur in the monitored area can be known through position analysis.
The sloping field evaluation information comprises first sloping field information, second sloping field information and third sloping field information, and the specific processing process of the sloping field evaluation information is as follows: extracting collected image information, processing the image information to obtain included angle information of a sloping field and a horizontal plane, marking the included angle information as alpha, processing the image information to obtain green planting coverage area information of the sloping field, marking the green planting coverage area information as Q, generating third sloping field information no matter how much the green planting coverage area information Q is when the included angle information is in a preset range A1, generating third sloping field information when the included angle information is in a preset range A2, enabling the green planting coverage area information Q to be smaller than a preset area, generating second sloping field information when the included angle information is in a preset range A2, enabling the green planting coverage area information Q to be larger than the preset area and generating first sloping field information when the included angle information is in a preset range A3;
the gradient is an important intrinsic factor in the development of soil landslide. Statistical analysis is carried out on the initial gradient of the development of the soil landslide (potential landslide), the gradient distribution of the landslide is found to have normal distribution characteristics, the gradient distribution of the landslide in the reservoir area is verified to be subjected to normal distribution by using a test method, and the functional relation between the gradient and the landslide development probability is established. According to the functional relation, the sliding development probability of the landslide in different gradient intervals is calculated, the sliding development probability in a research area is divided into 3 categories, namely the highest sliding development probability of the landslide with the gradient of 25.0 degrees and 45.0 percent is 60.47 percent, the intermediate sliding development probability of the landslide with the gradient of 18.025 degrees and 45.0 percent is 25.46 percent, the sliding development probability of the landslide with the gradient of more than 51.0 degrees and less than 18.0 percent is 25.46 percent, and the lowest sliding development probability of the landslide is 14.07 percent. The research result is better matched with the actual investigation situation, the foundation can be provided for landslide prevention and control planning in a beach-forming reservoir area, new thought is provided for quantification of indexes and determination of weights in landslide hazard risk evaluation, meanwhile, more vegetation can increase the soil compactness of a monitored area, namely landslide and other geological disasters are less likely to occur, whether the monitored area is likely to occur or not can be known by collecting the gradient of the monitored area and analyzing the vegetation range, the first sloping field information is high in safety of the area and is not likely to occur, the second sloping field information is high in landslide risk, periodic monitoring is needed, and the third sloping field information is high in landslide risk and is required to be monitored in real time so as to ensure safety.
The specific processing process of the monitoring point early warning information is as follows: extracting ground surface deformation information of a monitoring point, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of a target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and generating early warning information of the monitoring point when any one of the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification is abnormal;
through the process, the INSAR is used for collecting the earth surface deformation information, and monitoring and early warning are carried out on the earth surface deformation trend of the target area so as to ensure safety.
An INSAR-based geological disaster intelligent monitoring method comprises the following steps:
step one: collecting geological information, and position information of a weather information monitoring place within a preset time length of a monitoring position, and collecting real-time image information of the monitoring place and ground surface deformation information of the monitoring place when the monitoring place is a slope;
step two: processing the geological information to generate geological evaluation data, processing the weather information to generate weather evaluation data, processing the position information to obtain position evaluation data, processing the real-time image information to generate image evaluation data, and processing the surface deformation information to obtain monitoring point data;
step three: then, processing the geological evaluation data and the weather information to generate geological evaluation information, cavity evaluation information and weather abnormality information, processing the geological evaluation data and the weather information to generate position evaluation information, processing the image evaluation data to obtain sloping field evaluation information, and processing the monitoring point data to generate monitoring point early warning information;
step four: after geological evaluation information, weather abnormality information, position evaluation information, sloping field evaluation information and monitoring point early warning information are generated, the information is sent to a preset receiving terminal.
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 at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
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 (9)
1. The intelligent geological disaster monitoring system based on INSAR is characterized by comprising a geological information acquisition module, a weather information acquisition module, an ISNSR monitoring module, a position information acquisition module, an image acquisition module, a data processing module, a comprehensive analysis module, a general control module and an information sending module;
the geological information acquisition module is used for acquiring geological information, wherein the geological information comprises geological type information, soil water content information, the number of holes and the area of the holes;
the weather information acquisition module is used for acquiring weather information in a preset time length of a monitoring position, the position information is used for acquiring position information of a monitoring place, and the image acquisition module is used for acquiring real-time image information of the monitoring place when the monitoring place is a slope;
the ISNSR monitoring module is used for collecting the surface deformation information of the monitored area;
the data processing module is used for processing the geological information to generate geological evaluation data, processing the weather information to generate weather evaluation data, processing the position information to obtain position evaluation data, processing the real-time image information to generate image evaluation data, and processing the surface deformation information to obtain monitoring point data;
the comprehensive analysis module is used for processing the geological evaluation data and the weather information to generate geological evaluation information, cavity evaluation information and weather abnormality information, processing the geological evaluation data and the weather information to generate position evaluation information, processing the image evaluation data to generate sloping field evaluation information and processing the monitoring point data to generate monitoring point early warning information;
after the geological evaluation information, the weather abnormality information, the position evaluation information, the sloping field evaluation information and the monitoring point early warning information are generated, the master control module controls the information sending module to send the geological evaluation information, the weather abnormality information, the position evaluation information, the sloping field evaluation information and the monitoring point early warning information to a preset receiving terminal.
2. The intelligent monitoring system for geologic hazards based on INSAR as set forth in claim 1, wherein: the geological evaluation information comprises primary geological information, secondary geological information and tertiary geological information, and the cavity evaluation information comprises first cavity information, second cavity information and third cavity information.
3. An INSAR-based geological disaster intelligent monitoring system according to claim 2, characterized in that: the specific processing process of the geological evaluation information is as follows:
step one: extracting the acquired geological information, and acquiring geological type information and soil water content information from the geological information;
step two, a step two is carried out; marking geological type information as Z, and marking soil water content information as P;
step three: when the geological type information Z is a warning type and the soil water content information P is larger than a preset value, three-level geological information is generated;
step four: when the geological type information Z is a warning type, the soil water content information P is within a preset value range, namely secondary geological information is generated, and when the geological type information Z is a non-warning type, the soil water content information P is larger than a preset value, namely secondary geological information is generated;
step five: when the geological type information Z is a non-warning type, the first-level geological information is generated when the soil water content information P is smaller than a preset value.
4. An INSAR-based geological disaster intelligent monitoring system according to claim 2, characterized in that: the specific processing process of the cavity evaluation information is as follows: the method comprises the steps of obtaining the number of holes and the area of the holes from geological information, marking the number of holes as G, marking the area of the holes as F, calculating the number of holes G and the area of the holes F to obtain hole parameter information, generating third hole information when the number of holes G is smaller than a preset value and the hole parameter is larger than the preset value, generating third hole information no matter what the hole parameter is, generating second hole information when the number of holes G is in a preset value range and the hole parameter information is smaller than the preset value, and generating first hole information when the number of holes G is smaller than the preset value and the hole parameter information is smaller than the preset value;
the specific processing process of the weather abnormality information is as follows: the method comprises the steps of extracting weather information in a preset time period, generating weather abnormality information when the rainfall in unit time in the weather information in the preset time period is larger than a warning value, and generating the weather abnormality information when the snowfall in unit time in the weather information in the preset time period is larger than the warning value and the temperature is larger than the preset temperature.
5. The intelligent monitoring system for geologic hazards based on INSAR as defined in claim 4, wherein: the specific processing process of the cavity parameter information is as follows: g cavity areas F are extracted, and the sum of the G cavity areas F is calculated to obtain the total cavity area range, namely cavity parameter information.
6. The intelligent monitoring system for geologic hazards based on INSAR as set forth in claim 1, wherein: the position evaluation information comprises position normal information and position abnormal information, and the specific processing process of the position evaluation information is as follows: uploading the collected position information of the monitored place to the Internet, searching whether the place has preset types of behaviors, generating position abnormal information when the preset types of behaviors exist, and generating position normal information when the preset types of behaviors do not exist.
7. The intelligent monitoring system for geologic hazards based on INSAR as set forth in claim 1, wherein: the sloping field evaluation information comprises first sloping field information, second sloping field information and third sloping field information, and the specific processing process of the sloping field evaluation information is as follows: the method comprises the steps of extracting collected image information, processing the image information, obtaining included angle information of a sloping field and a horizontal plane, marking the included angle information as alpha, processing the image information, obtaining green planting coverage area information of the sloping field, marking the green planting coverage area information as Q, generating third sloping field information no matter what the green planting coverage area information Q is when the included angle information is in a preset range A1, generating third sloping field information when the included angle information is in a preset range A2, enabling the green planting coverage area information Q to be smaller than a preset area, generating second sloping field information when the included angle information is in a preset range A2, enabling the green planting coverage area information Q to be larger than the preset area when the included angle information is in a preset range A3, and generating first sloping field information.
8. The intelligent monitoring system for geologic hazards based on INSAR as set forth in claim 1, wherein: the specific processing process of the monitoring point early warning information is as follows: extracting ground surface deformation information of a monitoring point, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of a target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and generating early warning information of the monitoring point when any one of the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification is abnormal.
9. An INSAR-based geological disaster intelligent monitoring method, which is based on the monitoring system of any one of claims 1-8, comprising the following steps:
step one: collecting geological information, and position information of a weather information monitoring place within a preset time length of a monitoring position, and collecting real-time image information of the monitoring place and ground surface deformation information of the monitoring place when the monitoring place is a slope;
step two: processing the geological information to generate geological evaluation data, processing the weather information to generate weather evaluation data, processing the position information to obtain position evaluation data, processing the real-time image information to generate image evaluation data, and processing the surface deformation information to obtain monitoring point data;
step three: then, processing the geological evaluation data and the weather information to generate geological evaluation information, cavity evaluation information and weather abnormality information, processing the geological evaluation data and the weather information to generate position evaluation information, processing the image evaluation data to obtain sloping field evaluation information, and processing the monitoring point data to generate monitoring point early warning information;
step four: after geological evaluation information, weather abnormality information, position evaluation information, sloping field evaluation information and monitoring point early warning information are generated, the information is sent to a preset receiving terminal.
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