CN113624138A

CN113624138A - Landslide risk identification method and device, electronic equipment, storage medium and system

Info

Publication number: CN113624138A
Application number: CN202110936765.6A
Authority: CN
Inventors: 刘伟; 宿星; 董耀刚; 周自强
Original assignee: Geological Natural Disaster Prevention Research Institute Gansu Academy Of Sciences; Inner Mongolia University
Current assignee: Geological Natural Disaster Prevention Research Institute Gansu Academy Of Sciences; Inner Mongolia University
Priority date: 2021-08-16
Filing date: 2021-08-16
Publication date: 2021-11-09
Anticipated expiration: 2041-08-16
Also published as: CN113624138B

Abstract

The application relates to the technical field of landslide control, in particular to a landslide risk identification method, a landslide risk identification device, electronic equipment, storage media and a landslide risk identification system, wherein the landslide risk identification method comprises the following steps: collecting respective isotope contents of a main crown and a lateral branch of a target tree which is planted in a target soil area and has isotope nutrient solution drip-irrigated in root soil; and judging whether the crown of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branches, and if so, identifying the target soil area as a landslide risk area. According to the landslide risk identification method and device, accuracy and operation convenience of landslide risk identification can be effectively improved, manual experience is not required, labor cost and time cost can be effectively reduced, and therefore technical difficulty and operation complexity of landslide risk identification can be effectively reduced.

Description

Landslide risk identification method and device, electronic equipment, storage medium and system

Technical Field

The application relates to the technical field of landslide control, in particular to a landslide risk identification method, a landslide risk identification device, electronic equipment, storage media and a landslide risk identification system.

Background

Landslide is one of natural disasters, and after the landslide occurs, serious life and property safety loss is often caused to the local area. In the current landslide research, creeping type landslides such as loess-shale contact surface landslides are low in speed at the time of starting, typical slow-motion low-speed characteristics are presented macroscopically, the energy release mode is extremely slow, the landslides slide for hours to months through investigation, the landslides are not easy to find due to low speed in the initial stage, and damage is caused when the landslides are found.

At present, the existing landslide risk identification mode generally needs manual work to identify landslide on site through landslide cracks, landslide depressions, deposits with raised front edges and the like, or automatically identifies landslide by means of rock-soil body settlement, an interferometric radar inSAR technology, landslide surface segmentation, a symmetrical depth network combined multi-scale pooling method and the like, and then the existing manual identification mode consumes labor cost, is limited in applicability and cannot ensure landslide identification accuracy; the existing automatic identification mode has the problems of high technical difficulty, complex operation and the like due to the fact that the existing automatic identification mode excessively depends on the manual identification experience in the process of training machine learning.

Disclosure of Invention

Aiming at the problems in the prior art, the application provides a landslide risk identification method, a landslide risk identification device, electronic equipment, a storage medium and a landslide risk identification system, which can effectively improve accuracy and operation convenience of landslide risk identification, do not need to rely on manual experience, can effectively reduce labor cost and time cost, and further can effectively reduce technical difficulty and operation complexity of landslide risk identification.

In order to achieve the purpose, the following technical scheme is adopted in the application:

one aspect of the present application provides a landslide risk identification method, including:

collecting respective isotope contents of a main crown and a lateral branch of a target tree which is planted in a target soil area and has isotope nutrient solution drip-irrigated in root soil;

and judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, and if so, identifying the target soil area as a landslide risk area.

Optionally, the method further includes:

performing auxiliary landslide identification on the landslide risk area based on a non-crown area of the target tree;

and if at least one auxiliary recognition result corresponding to the auxiliary landslide recognition shows that the landslide risk area has landslide, determining the landslide risk area as the landslide area.

Optionally, the performing auxiliary landslide identification on the landslide risk area based on the non-crown area of the target tree includes:

sending a signal acquisition instruction to an optical fiber pre-buried in a soil area between the ground surface of the landslide risk area and the root of the target tree;

and if the optical fiber signals collected by the optical fibers are not received within the preset time, generating an auxiliary landslide identification result for displaying that the landslide risk area has landslide.

collecting the isotope content of the root of the target tree;

and judging whether the isotope nutrient solution is absorbed by the branch and the crown of the target tree or not according to the total isotope content in the isotope nutrient solution dripped in the root soil of the target tree, the root isotope content and the respective isotope content of the main crown and the side branches, and if not, generating an auxiliary landslide identification result for displaying that landslide has occurred in the landslide risk area.

acquiring image data of the landslide risk area;

and if the image data show that the ground surface and/or plants of the landslide risk area are damaged, generating an auxiliary landslide identification result for displaying that the landslide risk area has landslide.

Optionally, the method of determining whether the main root of the target tree is damaged according to the respective isotope content of the main crown and the side branch includes:

obtaining a difference value between the respective isotope contents of the main crown and the side branches, wherein the difference value comprises a difference value or a ratio value;

and judging whether the difference value is greater than a preset main root damage threshold value or not, and if so, identifying the target soil area as a landslide risk area.

Optionally, the method further includes:

outputting alarm information for indicating that the landslide risk area is determined as a landslide area;

and/or sending an alarm instruction to alarm equipment arranged in the landslide risk area so as to enable the alarm equipment to start and alarm.

Another aspect of the present application provides a landslide risk identifying device, including:

the isotope collection module is used for collecting respective isotope contents of a main crown and a lateral branch of a target tree which is planted in a target soil area and is drip-irrigated with isotope nutrient solution in root soil;

and the landslide identification module is used for judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branches, and identifying the target soil area as a landslide risk area if the main root of the target tree is damaged.

A third aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the landslide risk identification method when executing the program.

A fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the landslide risk identification method.

A fifth aspect of the present application provides a landslide risk identification system, comprising: an isotope collection and detection device and the electronic equipment;

the isotope collection detection device is fixedly arranged on the target tree and is in communication connection with the electronic equipment so as to send the collected respective isotope content of the main crown and the side branches of the target tree to the electronic equipment.

Optionally, the method further includes: at least one of an optical fiber, an isotope collecting device and an image collecting device which are in communication connection with the electronic equipment and are used for assisting landslide identification of the landslide risk area;

the optical fiber is pre-buried in a soil area between the earth surface where the landslide risk area is located and the root of the target tree and is used for acquiring an optical fiber signal according to a signal acquisition instruction sent by the electronic equipment;

the isotope collecting device is pre-buried at the root of the target tree and is used for sending the collected isotope content at the root of the target tree to the electronic equipment;

the image acquisition device is fixedly arranged above the landslide risk area and used for transmitting the acquired image data of the landslide risk area to the electronic equipment.

According to the technical scheme, the landslide risk identification method, the landslide risk identification device, the electronic equipment, the storage medium and the landslide risk identification system provided by the application comprise the following steps: collecting respective isotope contents of a main crown and a lateral branch of a target tree which is planted in a target soil area and has isotope nutrient solution drip-irrigated in root soil; judging whether the main root of the target tree is damaged or not according to the respective isotope content of the main crown and the side branch, if so, identifying the target soil area as a landslide risk area, and indirectly obtaining the occurrence and movement conditions of landslide through the growth condition of the crown by collecting the respective isotope content of the main crown and the side branch of the target tree which is planted in the target soil area and the root soil of which is drip-irrigated with the isotope nutrient solution; judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, effectively improving the operation convenience and efficiency of the landslide risk identification mode, reducing the technical difficulty and the operation complexity, and does not need to rely on manual experience, can effectively improve the accuracy of identifying the risk of the landslide on the basis of effectively reducing the labor cost and the time cost, particularly can effectively improve the accuracy, the operation convenience and the like of identifying the risk of the landslide aiming at the creeping type landslide which is difficult to be found manually compared with the landslide in other forms, and then can effectively improve landslide risk identification's degree of automation and intelligent degree, and guarantee personnel, vehicle and the house safety of the regional that takes place the peristaltic landslide, improve landslide risk identification technical staff and live in the user experience who probably sends the regional personnel of peristaltic landslide.

Additional features of the present application and advantages thereof will be set forth in the description which follows, or may be learned by practice of the present application.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly described below. It should be apparent that the drawings in the following description are embodiments of the present application and that other drawings may be derived from those drawings by a person of ordinary skill in the art without inventive step.

Fig. 1 is a first flowchart of a landslide risk identification method according to an embodiment of the present application;

fig. 2 is a schematic flow chart of a landslide risk identification method according to an embodiment of the present application;

fig. 3 is a third flowchart illustrating a landslide risk identification method according to an embodiment of the present application;

fig. 4 is a fourth flowchart illustrating a landslide risk identification method according to an embodiment of the present application;

fig. 5 is a fifth flowchart illustrating a landslide risk identification method according to an embodiment of the present application;

fig. 6 is a sixth flowchart illustrating a landslide risk identification method according to an embodiment of the present application;

fig. 7 is a seventh flowchart illustrating a landslide risk identification method according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of a landslide risk identifying device in an embodiment of the present application;

fig. 9 is a schematic overall system structure diagram of a landslide risk identification method provided in an application example of the present application;

FIG. 10 is a schematic view of a data collection box provided in an exemplary application of the present application;

FIG. 11 is a schematic structural diagram of a distributed optical fiber provided in an example of application of the present application;

fig. 12 is a schematic diagram of an arrangement of an isotope collection system provided in an example of application of the present application.

Detailed Description

The technical solutions of the present application will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.

Landslide is one of natural disasters, and after the landslide occurs, serious life and property safety loss is often caused to the local area. In the current landslide research, a plurality of scholars pay attention to the cause mechanism of landslide, and then focus on the motion characteristics, disaster-causing effect and the like of landslide. Loess landslides are different in types, and the disaster-causing effects generated after occurrence are completely different. The loess landslide can be divided into four types, namely a loess in-layer landslide, a loess-mudstone bedding landslide, a loess-mudstone cut-layer landslide and a loess-mudstone contact surface landslide according to the rock-soil type, the loess in-layer landslide and the loess-mudstone cut-layer landslide are usually high in speed when occurring, the generated disaster-causing effect is obvious, and the energy release mode of the loess-soil landslide belongs to an instant release type; loess mudstone bedding landslide often slides along the bedding surface of the mudstone, the sliding speed is higher when the gradient is higher, and the three types of landslides can be finished after dozens of minutes to several hours from the starting to the end of sliding. However, the loess-mudstone contact surface landslide has different energy release modes from the loess-mudstone contact surface landslide, the landslide is usually low in speed during starting, the typical slow-moving low-speed characteristic is presented macroscopically, the energy release mode is extremely slow, through investigation, the landslide slides from hours to months, the landslide is not easy to be found due to the low speed in the initial stage, damage is caused during landslide, such as house cracking, house collapse, road retaining wall damage, pavement cracking, river channel blockage, farmland damage and the like, serious economic loss is caused to the local area, the Gansu Tianshuangwang landslide generated in 2013 and Gansu Tongmang Xiaozhuang landslide generated in 2019 cause serious overall loss of three villages, local villages are forced to be moved integrally, the local social economic development is seriously influenced, and a plurality of roads are forced to be re-routed for repairing.

The fundamental reason for serious harm caused by the creeping landslide is that the creeping landslide is difficult to identify in the early stage, cracks in the landslide are often formed after the landslide occurs for a period of time, the landslide stops after sliding once in the investigation, and the sliding is generated again when the rainy season or the spring comes, so that vegetation in the water and day area with wide development of the landslide grows well and is difficult to find, and huge barriers are brought to the landslide investigation.

In conclusion, a reliable creeping landslide identification method is urgently needed, the method needs to be simple, convenient and easy for landslide investigators to master in time, and can be easily identified from a satellite map, and the phenomenon seen on a guard sheet plays an important role in promoting landslide later-stage identification because the large-scale landslide investigation needs to be interpreted by the guard sheet. In the existing research, landslide cracks, landslide depressions, steep ridges at the rear edge of the landslide, a rear edge round-seat-shaped structure, heaped deposits at the front edge and other methods are commonly utilized to carry out early identification on the landslide, the method has a limited application range on the landslide of a creeping sliding loess-mudstone contact surface, the phenomena are all not obvious at the early stage of the landslide, cracks can develop, but the process is slow, the cracks in the farmland are often directly filled by local common people, huge challenges and difficulties are brought to landslide investigation, including revival of old landslides, and the old landslides are not easy to find.

If the landslide is identified on site by using methods such as landslide cracks, landslide depressions, accumulations with raised front edges and the like, the phenomena such as landslide depressions and raised front edges do not occur in the early stage of the landslide of the contact surface of the creeping loess mudstone, the cracks occurring in the early stage of the landslide are very small, local vegetation grows vigorously, and the method has limited applicability in the landslide identification.

If the start and the formation of the landslide are recognized early by the contour such as the steep ridge at the rear edge of the landslide, the coil-shaped structure at the rear edge, and the like, since the newly generated creeping type landslide is not formed at the rear edge steep ridge and the coil-shaped structure, the method has limited applicability and cannot recognize the landslide.

If landslide is recognized by means of rock-soil body settlement, an inSAR technology, landslide surface segmentation, a symmetrical depth network combined multi-scale pooling method and the like, obvious rock-soil body settlement and sliding surface deformation are not generated when the creeping type landslide is formed, and the cost for purchasing multiple-stage images is high in the inSAR technology.

If the method of fusing the DEM, the optical remote sensing, the deformation information and the like is used for early identification of the landslide, the SAR image is also used in the implementation of the method, multiple periods of image data in the current area need to be purchased in the early period, the generated cost is high, the technology is difficult to master by common technicians, and the applicability of the technology is limited.

Based on the above, the method is easy to master, can be used in both a satellite slide and field landslide identification, and provides a new thought and method for disaster prevention and reduction work.

Aiming at the problems that the existing landslide risk identification mode cannot meet the requirements of landslide identification accuracy, dependence on artificial experience is reduced, operation is simple and the like, the embodiment of the application provides a landslide risk identification method, wherein the occurrence and movement conditions of landslide can be indirectly obtained through the growth conditions of tree crowns by acquiring the respective isotope contents of main crowns and side branches of target trees which are planted in a target soil area and have isotope nutrient solutions dripped in root soil; judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, effectively improving the operation convenience and efficiency of the landslide risk identification mode, reducing the technical difficulty and the operation complexity, and does not need to rely on manual experience, can effectively improve the accuracy of identifying the risk of the landslide on the basis of effectively reducing the labor cost and the time cost, particularly can effectively improve the accuracy, the operation convenience and the like of identifying the risk of the landslide aiming at the creeping type landslide which is difficult to be found manually compared with the landslide in other forms, and then can effectively improve landslide risk identification's degree of automation and intelligent degree, and guarantee personnel, vehicle and the house safety of the regional that takes place the peristaltic landslide, improve landslide risk identification technical staff and live in the user experience who probably sends the regional personnel of peristaltic landslide.

Based on the above content, the present application further provides a landslide risk identification device for implementing the landslide risk identification method provided in one or more embodiments of the present application, where the landslide risk identification device may be an electronic device such as a server, and the landslide risk identification device may be in communication connection with each detection device, a sensor, and a client device by itself or through a third-party server, and the landslide risk identification device may receive a landslide risk identification instruction sent by the client device, and collect, according to the landslide risk identification instruction, respective isotope contents of a main crown and a side branch of a target tree that is planted in a target soil area and whose root soil is drip-irrigated with an isotope nutrient solution; and judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branches, if so, identifying the target soil area as a landslide risk area, and sending landslide risk area identification result data to client equipment of a user by the landslide risk identification device.

In another practical application scenario, the part of the landslide risk identification performed by the landslide risk identification apparatus may be performed in the server as described above, or all operations may be performed in the user end device. Specifically, the selection may be performed according to the processing capability of the user end device, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. If all the operations are completed in the customer premises equipment, the customer premises equipment may further include a processor for performing a specific process of landslide risk identification.

In one or more embodiments of the present application, the woody plant performs water and nutrient absorption through the root system, and transports water and nutrients to various parts of the plant growth after absorbing water and nutrients. The water absorption of the plant root is mainly carried out at the root tip part, and the water absorption is less in root crowns, meristematic regions and elongation regions due to the fact that the conduction tissues are not mature, the intercellular water migration resistance is large and the like. The root hair area has a large amount of root hair development, forms a very large absorption area, and has the advantages that the conduction tissue of the root hair area is basically mature, the water transmission resistance is small, and the root hair area has the maximum water absorption capacity. After the landslide occurs, broken rock-soil bodies continuously slide and move to cause that root hair areas of woody plants are broken and damaged, even main roots in partial areas are broken and damaged, so that root crowns are separated from the main roots, the water absorption capacity of the plants is greatly reduced, and the obvious withering phenomenon appears in most areas of the tree crowns.

The roots may absorb minerals from the soil solution or absorbed by the soil particles. The site of mineral uptake by the root is also mainly the tip of the root, as is moisture uptake, with the root hair region being the most ion-active. The existence of root hairs can greatly increase the contact area of the roots and the soil environment. After the landslide occurs, broken rock-soil bodies continuously slide and move, so that root hair areas of woody plants are broken and damaged, even main roots in partial areas are broken and damaged, root crowns are separated from the main roots, and the mineral absorption capacity of the plants is greatly reduced.

As described above, water and minerals required for the growth of aerial parts are mainly supplied from the root system, and the roots are the center of cytokinin synthesis in the whole plant and transported to the aerial tree crowns or the like after formation. Not only substance communication but also signal transmission relationship exists between roots and crowns, and the growth condition of the upper tree crowns can be regulated and controlled when nutrient components in soil are changed. The sliding depth of different positions on the landslide is different, the root system of woody plants is broken in the sliding process of the slope body, the root tip part of the main root system is broken and separated, the crown of the trunk is dried, the rock and soil body at the position can be directly judged to move through the phenomenon, the displacement is generated, the displacement amount generates an accumulation effect, the root system of the plants is damaged, the crown of the crown is dried macroscopically, and the growth of the lateral branches completely depends on the lateral roots and other root systems to maintain.

In the field investigation, the phenomenon that crown withering occurs at the top of most middle-aged trees in the main sliding direction of the landslide, lateral branches grow normally, surrounding equal trees grow normally, inclined telegraph poles and the like in the main sliding direction are used as evidences, and the distribution position of damaged trees can be judged to be the main sliding direction of the landslide by combining the house cracking and the like in the main sliding direction.

The creeping type landslide identification method based on mutual feeding of the root crowns is provided by the application, because vegetation in the Tianshui region in Gansu is flourishing in growth, the underground water level is high, cracks and the like generated after landslides occur are not obvious, and macroscopic sites such as obvious steep campsides and the like do not appear, and whether old landslides survive or not and whether landslides are formed on the sites are difficult to judge. The method is simple and easy to understand, field technicians can quickly master the method, important technical support is provided with field landslide identification, necessary measures can be taken after early identification to reduce the damage of landslide, and contribution is made to disaster prevention and reduction.

The following embodiments and application examples are specifically and individually described in detail.

In order to solve the problems that the existing landslide risk identification mode cannot meet the requirements of landslide identification accuracy, reduction of dependence on manual experience, simplicity in operation and the like, the application provides an embodiment of a landslide risk identification method, and referring to fig. 1, the landslide risk identification method executed based on a landslide risk identification device specifically includes the following contents:

step 100: and collecting the respective isotope contents of the main crown and the lateral branches of the target tree which is planted in the target soil area and the root soil of which is drip-irrigated with the isotope nutrient solution.

In step 100, the landslide risk-based identification device may send an isotope collection instruction to an isotope collection and detection device, so that the isotope collection and detection device fixedly disposed on the target tree collects respective isotope contents of a main crown and a side branch of the target tree according to the isotope collection instruction, and sends the collected respective isotope contents of the main crown and the side branch of the target tree to the landslide risk-based identification device.

In the specific description of the isotope collecting and detecting device, the isotope collecting and detecting device needs to at least include an isotope collecting function and an isotope detecting function, and first respectively collects respective samples of a main crown and a lateral branch of a target tree through the isotope collecting function, then detects the isotope content of the main crown from the collected main crown sample of the target tree through the isotope detecting function, and detects the isotope content of the lateral branch from the collected lateral branch sample of the target tree.

In a specific example of the isotope collecting and detecting device, the isotope collecting and detecting device may be an isotope detector of (KMZ-50) type, and the isotope detector and the target tree are specifically arranged in the following manner: isotope monitoring detection is distributed at the periphery of a plant root system and a drip irrigation position, is distributed at the branch and leaf parts of the tree, and is used for calculating and analyzing the total plant absorption amount according to the total titration amount and the peripheral distribution condition and the content in the branch and leaf.

It is understood that the isotope may be an isotope of hydrogen in water.

Step 200: and judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, and if so, identifying the target soil area as a landslide risk area.

If the main root of the target tree is judged and known not to be damaged in the step 200, after waiting for a preset detection time period, returning to the step 100, and collecting and judging whether the target soil area is a landslide risk area or not again.

It can be understood that, if the main root of the target tree is damaged, it may be preliminarily determined that the target soil area where the current target tree is located has landslide, and thus the target soil area may be marked as a landslide risk area. Then, a notification message that the target soil area is the landslide risk area may be sent to the client device of the operation and maintenance staff for display, a landslide risk warning message may be sent for the landslide risk area for the target soil area, and in order to further improve accuracy of landslide risk identification and effectively reduce a false alarm rate, the landslide risk area may be further assisted with landslide identification on the basis of step 200, which is described in detail in the following embodiments.

As can be seen from the above description, according to the landslide risk identification method provided in the embodiment of the present application, by collecting the respective isotope contents of the main crown and the side branches of the target tree planted in the target soil area and having isotope nutrient solution drip-injected into the root soil, the occurrence and movement of landslide can be indirectly obtained through the growth condition of the crown; judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, effectively improving the operation convenience and efficiency of the landslide risk identification mode, reducing the technical difficulty and the operation complexity, and does not need to rely on manual experience, can effectively improve the accuracy of identifying the risk of the landslide on the basis of effectively reducing the labor cost and the time cost, particularly can effectively improve the accuracy, the operation convenience and the like of identifying the risk of the landslide aiming at the creeping type landslide which is difficult to be found manually compared with the landslide in other forms, and then can effectively improve landslide risk identification's degree of automation and intelligent degree, and guarantee personnel, vehicle and the house safety of the regional that takes place the peristaltic landslide, improve landslide risk identification technical staff and live in the user experience who probably sends the regional personnel of peristaltic landslide.

In order to further improve the accuracy of landslide risk identification and effectively reduce the false alarm rate, in an embodiment of the landslide risk identification method provided by the present application, referring to fig. 2, after step 200 of the landslide risk identification method, the following contents are further specifically included:

step 300: and performing auxiliary landslide identification on the landslide risk area based on the non-crown area of the target tree.

Step 400: and if at least one auxiliary recognition result corresponding to the auxiliary landslide recognition shows that the landslide risk area has landslide, determining the landslide risk area as the landslide area.

It can be understood that, if a plurality of auxiliary landslide identification manners are adopted in step 300, the landslide risk identification device can confirm that the landslide risk area is confirmed as the landslide area as long as one of the auxiliary landslide identification manners displays that the corresponding auxiliary identification result indicates that the landslide risk area has landslide, so that the landslide area can be further determined, the accuracy of landslide risk identification is effectively improved, and the false alarm rate is reduced.

As can be seen from the above description, the landslide risk identification method provided in the embodiment of the present application can further confirm that the landslide risk area is confirmed as the landslide area, and further can further confirm the landslide area, thereby effectively improving the accuracy of landslide risk identification and reducing the false alarm rate.

In order to further improve the reliability and comprehensiveness of the auxiliary landslide identification, in an embodiment of the landslide risk identification method provided in the present application, referring to fig. 3, step 300 of the landslide risk identification method may specifically include the following:

step 311: and sending a signal acquisition instruction to an optical fiber pre-buried in a soil area between the earth surface of the landslide risk area and the root of the target tree.

Step 312: and if the optical fiber signals collected by the optical fibers are not received within the preset time, generating an auxiliary landslide identification result for displaying that the landslide risk area has landslide.

If the landslide risk identification device receives the optical fiber signals collected by the optical fibers within the preset time, it is indicated that the optical fibers are not broken, and therefore it can be determined that the soil area between the earth surface where the landslide risk area is located and the root of the target tree is not greatly displaced, other auxiliary landslide identification modes are selected for identification, if all the auxiliary landslide identification modes show that the landslide risk area does not actually generate landslide, the landslide risk area can be marked as a landslide risk removal area, and the notification information of the landslide risk removal area is output.

Specifically, the landslide risk identification device may be in communication connection with an optical fiber for assisting landslide identification of the landslide risk area, and the optical fiber is embedded in a soil area between a ground surface where the landslide risk area is located and the root of the target tree and used for acquiring an optical fiber signal according to a signal acquisition instruction sent by the electronic device.

For example: the optical fiber can be arranged along the horizontal direction of the soil area between the ground surface of the landslide risk area and the root of the target tree in a delayed mode, if the landslide risk identification device does not receive the optical fiber signal acquired by the optical fiber within a preset time (for example, 0.1-100 s), the optical fiber is broken, and the reason that the optical fiber is broken can be that the soil area between the ground surface of the landslide risk area and the root of the target tree becomes a landslide body which is mainly loess, and a penetrating crack is often formed in the landslide body after the landslide is generated, so that the displacement of the soil area can be determined, and the landslide risk area is determined to have landslide.

According to the landslide risk identification method provided by the embodiment of the application, the signal acquisition instruction is sent to the pre-buried optical fiber in the soil region between the earth surface where the landslide risk region is located and the root of the target tree, the reliability and the comprehensiveness of auxiliary landslide identification can be further improved, the landslide risk identification accuracy can be further improved, particularly, the accuracy, the operation convenience and the like of the peristaltic landslide risk identification can be effectively improved compared with the peristaltic landslide which is difficult to be found manually in other forms, and further the automation degree and the intelligence degree of the landslide risk identification can be effectively improved.

In order to further improve the reliability and comprehensiveness of the auxiliary landslide identification, in an embodiment of the landslide risk identification method provided in the present application, referring to fig. 4, step 300 of the landslide risk identification method may further include the following steps:

step 321: and collecting the isotope content of the root of the target tree.

Step 322: and judging whether the isotope nutrient solution is absorbed by the branch and the crown of the target tree or not according to the total isotope content in the isotope nutrient solution dripped in the root soil of the target tree, the root isotope content and the respective isotope content of the main crown and the side branches, and if not, generating an auxiliary landslide identification result for displaying that landslide has occurred in the landslide risk area.

In step 322, if the total content of the isotopes pre-stored in the isotope nutrient solution dripped in the root soil of the target tree is 100ml, the isotope content in the root is 50ml, and the isotope contents of the main crown and the side branch are 5ml and 10ml, respectively, then the specific manner of determining whether the isotope nutrient solution is absorbed by the branch and the crown of the target tree may be: and judging whether the total isotope content (50ml +5ml +10ml ═ 65ml) of the isotope content in the root part and the respective isotope content in the main crown and the side branch is greater than a preset percentage (for example, 85%) of the total isotope content (100ml) in the isotope nutrient solution, and if not, indicating that the isotope nutrient solution is not absorbed by the branches and the crowns of the target tree.

If the landslide risk identification device determines that the isotope nutrient solution is absorbed by the branches and the crowns of the target trees, it indicates that the roots of the target trees are not broken, so that it can be determined that the soil area where the roots of the target trees are located in the landslide risk area is not greatly displaced, and other auxiliary landslide identification modes are selected for identification.

Specifically, the landslide risk identification device is in communication connection with a plurality of isotope collection devices used for the landslide risk area, and the isotope collection devices are pre-buried at the root of the target tree and used for sending the collected isotope content of the root of the target tree to the electronic equipment.

In a specific example of an isotope collecting apparatus, the isotope collecting apparatus may be a (KMZ-50) type isotope collector, and the isotope collector and the target tree are specifically arranged in a manner that: the isotope collecting devices are arranged at the periphery of the plant root system and the drip irrigation position, and are arranged at the branches and leaves of the tree, and the total plant absorption amount is calculated and analyzed according to the total titration amount and the peripheral distribution condition and the content in the branches and leaves.

From the above description, the landslide risk identification method provided by the embodiment of the application judges whether the isotope nutrient solution is absorbed by the branch and the crown of the target tree or not according to the isotope total content in the isotope nutrient solution of the root soil of the target tree, the root isotope content and the respective isotope content of the main crown and the side branches by drip irrigation, can further improve the reliability and the comprehensiveness of the auxiliary landslide identification, can further improve the landslide risk identification accuracy, and can effectively improve the accuracy, the operation convenience and the like of the peristaltic landslide risk identification especially for the peristaltic landslide which is more difficult to be artificially found compared with other forms, thereby effectively improving the automation degree and the intelligence degree of the landslide risk identification.

In order to further improve the reliability and comprehensiveness of the auxiliary landslide identification, in an embodiment of the landslide risk identification method provided in the present application, referring to fig. 5, step 300 of the landslide risk identification method may further include the following steps:

step 331: and acquiring image data of the landslide risk area.

Step 332: and if the image data show that the ground surface and/or plants of the landslide risk area are damaged, generating an auxiliary landslide identification result for displaying that the landslide risk area has landslide.

It is understood that the landslide risk identification device is in communication connection with an image acquisition device for assisting landslide identification of the landslide risk area.

The image acquisition device is fixedly installed above the landslide risk area and used for acquiring image data of the landslide risk area, and the image acquisition device can specifically adopt a camera.

According to the landslide risk identification method provided by the embodiment of the application, the reliability and comprehensiveness of auxiliary landslide identification can be further improved by collecting the image data of the landslide risk area, the landslide risk identification accuracy can be further improved, particularly, the creeping type landslide which is difficult to be found manually compared with landslides in other forms can be effectively improved, the accuracy, the operation convenience and the like of creeping type landslide risk identification can be effectively improved, and the automation degree and the intelligence degree of landslide risk identification can be effectively improved.

In order to improve the effectiveness and reliability of identifying the landslide risk area, referring to fig. 6, in an embodiment of the landslide risk identification method provided in the present application, a step 200 of the landslide risk identification method specifically includes the following steps:

step 210: and acquiring a difference value between the respective isotope contents of the main crown and the side branches, wherein the difference value comprises a difference value or a ratio.

Step 220: and judging whether the difference value is greater than a preset main root damage threshold value or not, and if so, identifying the target soil area as a landslide risk area.

The primary root damage threshold may specifically be: when the main root damage threshold is a difference value, the main root damage threshold is that the variation of isotopes around the root system in one continuous week does not exceed b mg/L, (the b value is related to the plant species, for example, the b value can be 5, 10 or 50, etc.); when the main root damage threshold is the ratio of the respective isotope contents of the main crown and the collateral branch, the main root damage threshold may be 0.8, 1 or 1.5.

As can be seen from the above description, according to the landslide risk identification method provided in the embodiment of the present application, by obtaining the difference value between the respective isotope contents of the main crown and the side branch, and determining whether the difference value is greater than the preset main root damage threshold, the effectiveness and reliability of the landslide risk area identification can be effectively achieved, the accuracy and the operation convenience of the landslide risk identification are improved, the manual cost and the time cost can be effectively reduced without depending on the manual experience, and then the technical difficulty and the operation complexity of the landslide risk identification can be effectively reduced.

In order to avoid using the storage space of the database in the landslide risk identification system, referring to fig. 7, in an embodiment of the landslide risk identification method provided in the present application, the following is further specifically included after step 400 in the landslide risk identification method:

step 500: outputting alarm information for indicating that the landslide risk area is determined as a landslide area; and/or sending an alarm instruction to alarm equipment arranged in the landslide risk area so as to enable the alarm equipment to start and alarm.

From the above description, the landslide risk identification method provided by the embodiment of the application can effectively improve the effectiveness and real-time performance of landslide alarm, further effectively improve the automation degree and the intelligence degree of landslide risk identification, ensure the safety of personnel, vehicles and houses in the region where creeping landslide occurs, and improve the user experience of landslide risk identification technicians and the personnel living in the region where creeping landslide is likely to be sent.

In terms of software, in order to solve the problem that the conventional landslide risk identification method cannot meet the requirements of landslide identification accuracy, reduction of dependence on manual experience, simplicity in operation and the like, the present application provides an embodiment of a landslide risk identification device for executing all or part of the contents in the landslide risk identification method, and referring to fig. 8, the landslide risk identification device specifically includes the following contents:

the isotope collection module 10 is used for collecting respective isotope contents of a main crown and a lateral branch of a target tree which is planted in a target soil area and has isotope nutrient solution drip-irrigated in root soil;

and the landslide identification module 20 is configured to judge whether a main root of the target tree is damaged according to respective isotope contents of the main crown and the side branches, and if so, identify the target soil area as a landslide risk area.

The embodiment of the landslide risk identification apparatus provided in the present application may be specifically used to execute the processing procedure of the embodiment of the landslide risk identification method in the above embodiment, and the function of the processing procedure is not described herein again, which may refer to the detailed description of the embodiment of the method.

As can be seen from the above description, the landslide risk identification device provided in the embodiment of the present application can indirectly obtain the occurrence and movement of landslide through the growth of the crown of the tree by collecting the respective isotope contents of the main crown and the side branches of the target tree planted in the target soil region and having the isotope nutrient solution drip-injected into the root soil; judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, effectively improving the operation convenience and efficiency of the landslide risk identification mode, reducing the technical difficulty and the operation complexity, and does not need to rely on manual experience, can effectively improve the accuracy of identifying the risk of the landslide on the basis of effectively reducing the labor cost and the time cost, particularly can effectively improve the accuracy, the operation convenience and the like of identifying the risk of the landslide aiming at the creeping type landslide which is difficult to be found manually compared with the landslide in other forms, and then can effectively improve landslide risk identification's degree of automation and intelligent degree, and guarantee personnel, vehicle and the house safety of the regional that takes place the peristaltic landslide, improve landslide risk identification technical staff and live in the user experience who probably sends the regional personnel of peristaltic landslide.

In terms of hardware, in order to solve the problem that the conventional landslide risk identification method cannot meet the requirements of landslide identification accuracy, reduction of dependence on manual experience, simplicity in operation and the like, the present application provides an embodiment of an electronic device for implementing all or part of the contents in the landslide risk identification method, where the electronic device specifically includes the following contents:

in an embodiment, the landslide risk identification function may be integrated into the central processor. Wherein the central processor may be configured to control:

step 100: collecting respective isotope contents of a main crown and a lateral branch of a target tree which is planted in a target soil area and has isotope nutrient solution drip-irrigated in root soil;

As can be seen from the above description, the electronic device provided in the embodiment of the present application can indirectly obtain the occurrence and movement of landslide through the growth of the crown of the tree by collecting the respective isotope contents of the main crown and the side branches of the target tree planted in the target soil area and having the isotope nutrient solution drip-irrigated in the root soil; judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, effectively improving the operation convenience and efficiency of the landslide risk identification mode, reducing the technical difficulty and the operation complexity, and does not need to rely on manual experience, can effectively improve the accuracy of identifying the risk of the landslide on the basis of effectively reducing the labor cost and the time cost, particularly can effectively improve the accuracy, the operation convenience and the like of identifying the risk of the landslide aiming at the creeping type landslide which is difficult to be found manually compared with the landslide in other forms, and then can effectively improve landslide risk identification's degree of automation and intelligent degree, and guarantee personnel, vehicle and the house safety of the regional that takes place the peristaltic landslide, improve landslide risk identification technical staff and live in the user experience who probably sends the regional personnel of peristaltic landslide.

In another embodiment, the landslide risk identification means may be configured separately from the central processor, for example, the landslide risk identification means may be configured as a chip connected to the central processor, and the landslide risk identification function is realized by the control of the central processor.

An embodiment of the present application further provides a computer-readable storage medium capable of implementing all the steps in the landslide risk identification method in the foregoing embodiment, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all the steps of the landslide risk identification method in the foregoing embodiment, where an execution subject of the computer program is a server or a client, for example, when the processor executes the computer program, the processor implements the following steps:

As can be seen from the above description, the computer-readable storage medium provided in the embodiments of the present application can indirectly obtain the occurrence and movement of landslide through the growth of the crown of the tree by collecting the respective isotope contents of the main crown and the side branches of the target tree planted in the target soil area and having isotope nutrient solution drip-injected into the root soil; judging whether the main root of the target tree is damaged or not according to the respective isotope contents of the main crown and the side branch, effectively improving the operation convenience and efficiency of the landslide risk identification mode, reducing the technical difficulty and the operation complexity, and does not need to rely on manual experience, can effectively improve the accuracy of identifying the risk of the landslide on the basis of effectively reducing the labor cost and the time cost, particularly can effectively improve the accuracy, the operation convenience and the like of identifying the risk of the landslide aiming at the creeping type landslide which is difficult to be found manually compared with the landslide in other forms, and then can effectively improve landslide risk identification's degree of automation and intelligent degree, and guarantee personnel, vehicle and the house safety of the regional that takes place the peristaltic landslide, improve landslide risk identification technical staff and live in the user experience who probably sends the regional personnel of peristaltic landslide.

In order to further explain the scheme, the application example of the application provides a landslide risk identification method, in particular to a creeping type landslide identification method based on a root-crown mutual collapse mechanism, the occurrence and movement conditions of the landslide can be indirectly obtained through the growth condition of a tree crown, the identification effect on the starting or forming of the landslide and the main sliding direction of the landslide is good, and the method has obvious superiority particularly in a vegetation growth prosperous area. The whole method is easy to learn and convenient for technicians to operate and master. The method solves the defects that landslide cracks, landslide depressions, deposits with raised front edges and the like cannot be used for identifying landslide on site in the prior art, and also solves the defect that landslide identification operation is difficult by means of rock and soil mass settlement, an inSAR technology, landslide surface segmentation, a symmetrical depth network combined multi-scale pooling method and the like. A new method and a new idea are provided for early identification of the creeping landslide, so that a first-line engineering technician can easily master the method. And a new method is contributed to disaster prevention and reduction work.

The core of the application example is that the landslide moves along the sliding belt in the sliding process, so that a main root system which is a key part of the tree and absorbs nutrients and water is broken, the core part of the tree and absorbs the nutrients and the water is remained in the original place, a plurality of lateral roots and the whole upper structure move to another position along with the movement of the landslide body, the main crown system of the tree is completely withered macroscopically, lateral branches are still grown, a part of the lateral root system is still worked, and necessary nutrients and water are provided for the growth of the lateral branches of the tree. The acacia trees in the main landslide direction of the whole landslide show typical characteristics, the tops and the middle main parts of crowns of all trees are withered, the acacia trees on the side boundary of the landslide normally grow but do not grow, partial sections are serious, the whole trunk is withered, and the landslide is slid to damage the root system of the whole tree. According to the method for identifying the root crown mutual feedback landslide, provided by the application example, a large number of field verifications are carried out, so that cracks, toppled telegraph poles and the like in a landslide body surface system can be used as direct evidence for landslide sliding except for dry tree crowns, good verification is obtained, and a good foundation is laid for popularization of the method. However, vegetation in the whole day and water area grows well, in field investigation, some phenomena appearing on the landslide surface are covered by dense plants in partial sections, a huge problem is brought to field identification of landslides, landslides cannot be effectively controlled by means of inaccurate landslide identification, and substantial contribution to disaster prevention and reduction cannot be made remarkably, so that the technical method provided by the application example can provide important theoretical support for field investigation.

The damage of plant roots and the damaged condition of crown in this application example are carried out based on technologies such as sensor and monitoring and computer automatic capture analysis. Isotope nutrient solution is supplied near the root system of the plant, meanwhile, the distributed optical fiber is arranged near the growth of the plant, and the final identification of the sliding of the landslide is carried out by monitoring the distributed optical fiber and combining with the isotope concentration absorbed by the leaves in the crown of the plant. All monitoring techniques are based on the aforementioned physiological characteristics of plant growth.

The overall system structure diagram for implementing the landslide risk identification method of the application example of the present application is shown in fig. 9;

the sliding bed system 1 is a relative water-resisting layer of the whole creeping type landslide bottom mudstone system, and underground water cannot penetrate through the layer;

the sliding belt system 2 is a sliding belt position of a landslide, the sliding belt position is a contact zone of weathered mudstone and loess mixture, the upper part of the sliding belt system is loess, the lower part of the sliding belt system is mudstone, underground water is relatively developed, and sufficient water and nutrients can be provided for plant growth;

a surface system 3, surface location, which contains cracks generated by landslide, landslide depressions, other characteristic phenomena formed in landslide, such as toppled utility poles, broken roads, toppled trees, etc.;

the main root system 4 is the same as the main root system of the whole tree, and the root tip of the part provides necessary nutrients, water and the like for the growth of plants;

the lateral root system 5 is used for providing water and nutrients for the growth of plants, and the lateral root system and the main root system form the whole root system of the plants;

a trunk 6, which mainly provides a transportation channel for nutrients and moisture for the growth of the crown;

the middle part 7 of the tree crown, the core part of the whole tree crown, the growth condition of the part directly reflects the damage condition of the plant root and the distribution condition of nutrition, water and the like;

the crown collateral branch system 8 is used as a collateral branch system of the crown and forms a crown system of the big tree together with the middle part;

the landslide body 9 is mainly loess, and penetrating cracks and the like are often formed in the landslide body after the landslide is generated;

the bracket system mainly provides a supporting function for the data acquisition and energy system, and supports the system to a certain height, so that the system can be effectively prevented from being damaged;

the data acquisition system 11 is used for acquiring data of each sensor in the whole application example, summarizing and analyzing the acquired data according to a preset program and sending corresponding instructions to each system;

the image acquisition system 12 is mainly used for monitoring and analyzing the woody plant and the environmental change around the woody plant, and can acquire the ground surface crack and the damage information of the plant in real time;

the wireless signal transmitter 13 transmits the information acquired on site to the indoor terminal through the GPRS module;

the solar panel 14 supplies power to the whole data acquisition system and the monitoring system;

the distributed optical fiber system 15 is mainly used for monitoring the displacement condition of the bottom of the plant, and once the bottom is displaced, the system can timely collect data and judge the data, and finally gives an alarm;

the isotope injection system 16 is mainly used for injecting a set isotope nutrient solution into the roots of plants through a drip irrigation system for the growth of the plants;

the plant health growth monitoring system 17 can monitor the absorption condition, growth condition and the like of plant nutrient elements in real time according to the growth condition of the plant, and can acquire relevant data for analysis in time after the root system or the crown system of the plant is damaged;

and the isotope collecting system 18 is arranged around the plant root system, monitors and analyzes the flow condition of the isotopes, and transmits data to the comprehensive data acquisition system in time.

Referring to fig. 10, the data collection box specifically includes the following contents:

the data acquisition box 21 mainly functions to protect the data acquisition device and corresponding devices such as cables;

a transformer 22 for converting an external unstable power source into a power source suitable for the data acquisition controller;

the storage battery 23 has the main functions of storing electric quantity and preventing the data collector from interrupting work in continuous cloudy days;

the signal amplifier 24 is used for collecting the data collected by the data collecting board, processing the data and transmitting the data to the indoor terminal through the GPRS module;

the manual operation module 25 has the main functions of being used in the equipment maintenance process, manually debugging the parameters of each sensor, being provided with an indicator light of the working state of each sensor, facilitating the quick maintenance of maintenance personnel, and being provided with a data acquisition port for plugging a data line RS232 or a USB flash disk and the like;

the intelligent data acquisition controller 26 is mainly used for acquiring and summarizing all information in the system and carrying out real-time monitoring control on the working performance and conditions of each sensor according to the remote terminal;

once a sensor fault or a large displacement of a landslide is monitored, the alarm 27 gives an alarm, and issues alarm information by combining information acquired by the image acquisition system, so that personnel can be guided to evacuate in time, and danger is avoided.

Referring to fig. 11, a schematic structural diagram of a distributed optical fiber specifically includes the following contents:

the optical fiber deformation monitor 31 mainly has the functions of monitoring information such as displacement, stress and the like of the four optical fibers on the upper, lower, left and right sides in real time, and feeding back the information to the data acquisition terminal in time once deformation or displacement information exceeds an allowable value;

an optical fiber 32 for use in the monitoring process;

referring to fig. 12, a schematic diagram of an arrangement of an isotope collection system specifically includes the following:

pre-digging a pit 33 for planting trees, pre-digging a pit hole formed before planting trees, and placing the saplings into the pit at the later stage;

a seedling root system 34, which includes a seedling root system and a portion of soil, which provides nutrients for the initial growth of the seedling;

a trunk system 35;

an isotope collection system 36.

Problems to be explained are: when the distributed optical fibers in the application example are arranged in a root system of a tree, the distributed optical fibers are arranged in the process of tree planting in the early stage, the distributed optical fiber system is wrapped outside the root system in a certain proportion, and the preset proportion mainly refers to the length of the optical fibers, so that the optical fibers can be effectively protected from being broken and damaged in the process of tree growth. Isotope monitoring system lays at the tree planting in-process, all sets up in the root system outside and around certain limit, and the later stage carries out isotope migration monitoring, confirms the absorption condition of plant to salinity with plant health growth monitoring system jointly.

The application example has the outstanding advantages that the related theories of biology or ecology and geotechnical engineering are combined, interdisciplinary crossing is realized, simplicity and easiness in learning are realized, the first-line engineering technicians can quickly get the best, and the application example plays a role in lightening the work of disaster prevention and reduction. Claim the introduction of plant physiology of plant roots into the claims of the present application examples highlights the advantages of the technology.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A landslide risk identification method, comprising:

2. The landslide risk identification method of claim 1 further comprising:

3. The landslide risk identification method of claim 2 wherein said assisted landslide identification of said landslide risk zone based on a non-crown area of said target tree comprises:

4. The landslide risk identification method of claim 2 wherein said assisted landslide identification of said landslide risk zone based on a non-crown area of said target tree comprises:

collecting the isotope content of the root of the target tree;

5. The landslide risk identification method of claim 2 wherein said assisted landslide identification of said landslide risk zone based on a non-crown area of said target tree comprises:

acquiring image data of the landslide risk area;

6. The landslide risk identification method of claim 1, wherein the determining whether a main root of the target tree is damaged according to respective isotope contents of the main crown and the side branches, and if so, identifying the target soil area as a landslide risk area comprises:

7. The landslide risk identification method of any one of claims 2 to 5 further comprising:

8. Landslide risk identification apparatus, comprising:

9. Electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the landslide risk identification method according to any one of claims 1 to 7 when executing the computer program.

10. Computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the landslide risk identification method according to any one of claims 1 to 7.

11. Landslide risk identification system, comprising: an isotope collection detection apparatus and the electronic device of claim 9;

12. The landslide risk identification system of claim 11 further comprising: at least one of an optical fiber, an isotope collecting device and an image collecting device which are in communication connection with the electronic equipment and are used for assisting landslide identification of the landslide risk area;