Frozen soil roadbed disease monitoring method and device, storage medium and electronic equipment

Abstract

The invention provides a frozen soil roadbed disease monitoring method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a temperature index, an ice content index and a frost heaving rate index corresponding to a to-be-monitored roadbed at a target moment; and determining the disease degree of the roadbed to be monitored according to the temperature index, the ice content index and the frost heaving rate index. By comprehensively considering the temperature index, the ice content index and the frost heaving rate index of the roadbed to be monitored, the frozen soil roadbed disease monitoring effect is improved, and the accuracy of disease degree prediction is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of environmental monitoring, and in particular to a method, device, storage medium and electronic equipment for monitoring frozen soil roadbed diseases. Background Art

[0002] In order to provide early warning or assess the stability of the roadbed, monitoring has become an indispensable part of the project. Given that the diseases of frozen roadbeds are mainly caused by factors such as temperature and moisture, many researchers have been committed to ensuring the thermal stability of roadbeds in permafrost areas for many years. Through continuous research, the changes in the thermal state of roadbeds in permafrost areas and the relationship between these changes and climate conditions, roadbed structures and various engineering measures have been explored.

[0003] At present, there are still technical problems that the single frozen soil area roadbed monitoring method is difficult to take into account both the monitoring range and accuracy when monitoring roadbed diseases, and is not comprehensive enough. Summary of the invention

[0004] The purpose of the present invention is to provide a frozen soil roadbed disease monitoring method, device, storage medium and electronic equipment to improve the above-mentioned problems.

[0005] In order to achieve the above purpose, the technical solution adopted by the embodiment of the present invention is as follows:

[0006] In a first aspect, an embodiment of the present invention provides a method for monitoring frozen soil roadbed diseases, the method comprising:

[0007] Obtain the temperature index, ice content index and frost heave rate index corresponding to the roadbed to be monitored at the target time;

[0008] The degree of damage of the roadbed to be monitored is determined according to the temperature index, the ice content index and the frost heave rate index.

[0009] Optionally, the step of determining the degree of damage of the roadbed to be monitored according to the temperature index, the ice content index and the frost heave rate index comprises:

[0010] Acquire a temperature fuzzy set based on the temperature index, wherein the temperature fuzzy set includes a temperature fuzzy level corresponding to the temperature index and a membership degree corresponding to the temperature fuzzy level;

[0011] Acquire an ice content fuzzy set based on the ice content index, wherein the ice content fuzzy set includes an ice content fuzzy level corresponding to the ice content index and a membership degree corresponding to the ice content fuzzy level;

[0012] Based on the frost heave rate index, a frost heave rate fuzzy set is obtained, wherein the frost heave rate fuzzy set includes a frost heave rate fuzzy level corresponding to the frost heave rate index and a membership degree corresponding to the frost heave rate fuzzy level;

[0013] The degree of damage of the roadbed to be monitored is determined according to the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set.

[0014] Optionally, the step of determining the degree of damage of the roadbed to be monitored according to the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set comprises:

[0015] Combining the elements in the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set to obtain various fuzzy level combinations;

[0016] Determine the combined membership corresponding to the fuzzy level combination according to the membership corresponding to the temperature fuzzy level, the membership corresponding to the ice content fuzzy level, and the membership corresponding to the frost heave rate fuzzy level in the fuzzy level combination;

[0017] Determine the corresponding preliminary estimated disease degree according to the temperature fuzzy level, ice content fuzzy level and frost heave rate fuzzy level in the fuzzy level combination;

[0018] The degree of damage of the roadbed to be monitored is determined based on the preliminary estimated damage degree and its corresponding combined membership.

[0019] Optionally, the step of obtaining a temperature index corresponding to the roadbed to be monitored at the target time includes:

[0020] Acquire first-type surface temperature data, second-type surface temperature data, and third-type surface temperature data of the roadbed to be monitored within a target time period;

[0021] The target time period is a time period of a preset length before the target time, the first type of surface temperature data belongs to satellite roadbed monitoring data, the second type of surface temperature data belongs to drone roadbed monitoring data, and the third type of temperature data belongs to the temperature data of different depth layers of the roadbed to be monitored in the ground sensor roadbed monitoring data;

[0022] Obtaining a first temperature average value corresponding to the first type of surface temperature data within a target time period;

[0023] Obtain a second temperature average value corresponding to the second type of surface temperature data within a target time period;

[0024] Obtaining a third temperature average value corresponding to the third type of temperature data within a target time period;

[0025] A weighted calculation is performed based on the first temperature average value, the second temperature average value, and the third temperature average value to determine a temperature index corresponding to the roadbed to be monitored at a target time.

[0026] Optionally, the ice content index of the roadbed to be monitored is the ice content corresponding to a target depth monitored by a ground sensor deployed on the roadbed to be monitored at a target time;

[0027] The frost heave rate index of the roadbed to be monitored is the frost heave rate corresponding to the target depth monitored by the ground sensor deployed on the roadbed to be monitored at the target time.

[0028] Optionally, the frozen soil roadbed disease monitoring method includes: obtaining roadbed deformation data and / or surface moisture data corresponding to the roadbed to be monitored at the target time, wherein the roadbed deformation data and / or surface moisture data belong to UAV path monitoring data; determining whether there is an abnormal area in the roadbed to be monitored based on the roadbed deformation data and / or the surface moisture data; if so, issuing an abnormal alarm.

[0029] In a second aspect, an embodiment of the present invention provides a frozen soil roadbed disease monitoring device, the device comprising:

[0030] The first processing unit is used to obtain the temperature index, ice content index and frost heave rate index corresponding to the roadbed to be monitored at the target time;

[0031] The second processing unit is used to determine the degree of damage of the roadbed to be monitored according to the temperature index, the ice content index and the frost heave rate index.

[0032] Optionally, the first processing unit is further used to obtain roadbed deformation data and / or surface moisture data corresponding to the roadbed to be monitored at the target time, wherein the roadbed deformation data and / or surface moisture data belong to the UAV path monitoring data;

[0033] The second processing unit is further used to determine whether there is an abnormal area in the roadbed to be monitored according to the roadbed deformation data and / or the surface moisture data; if so, an abnormal alarm is issued.

[0034] In a third aspect, an embodiment of the present invention provides a storage medium having a computer program stored thereon, and the computer program implements the above method when executed by a processor.

[0035] In a fourth aspect, an embodiment of the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory is used to store one or more programs; when the one or more programs are executed by the processor, the above method is implemented.

[0036] Compared with the prior art, the embodiments of the present invention provide a frozen soil roadbed disease monitoring method, device, storage medium and electronic device, which obtain the temperature index, ice content index and frost heave rate index corresponding to the roadbed to be monitored at the target time; according to the temperature index, ice content index and frost heave rate index, the disease degree of the roadbed to be monitored is determined. By comprehensively considering the temperature index, ice content index and frost heave rate index of the roadbed to be monitored, the monitoring effect of frozen soil roadbed diseases is improved, and the accuracy of disease degree prediction is guaranteed.

[0037] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0040] Figure 2 One of the flow charts of the frozen soil roadbed disease monitoring method provided in the embodiment of the present invention.

[0041] Figure 3 A schematic diagram of the membership degree corresponding to the temperature fuzzy level provided in an embodiment of the present invention.

[0042] Figure 4 A schematic diagram of the membership degree corresponding to the ice content paste level provided in an embodiment of the present invention.

[0043] Figure 5 A schematic diagram of the membership degree corresponding to the frost heave rate paste level provided in an embodiment of the present invention.

[0044] Figure 6 The second flowchart of the method for monitoring frozen soil roadbed diseases provided in the embodiment of the present invention.

[0045] Figure 7 A schematic diagram of units of a frozen soil roadbed disease monitoring device provided in an embodiment of the present invention.

[0046] In the figure: 10 - processor; 11 - memory; 12 - bus; 13 - communication interface; 1001 - first processing unit; 1002 - second processing unit. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0048] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0050] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0051] In the description of the present invention, it should be noted that the terms "upper", "lower", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, or are directions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as a limitation on the present invention.

[0052] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "disposed" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0054] An embodiment of the present invention provides an electronic device, which may be a computer device or a server device. Figure 1 , a schematic diagram of the structure of an electronic device. The electronic device includes a processor 10, a memory 11, and a bus 12. The processor 10 and the memory 11 are connected via the bus 12, and the processor 10 is used to execute an executable module stored in the memory 11, such as a computer program.

[0055] The processor 10 can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the frozen soil roadbed disease monitoring method can be completed by the hardware integrated logic circuit in the processor 10 or the instructions in the form of software. The above-mentioned processor 10 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0056] The memory 11 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0057] The bus 12 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus. Figure 1 Although only one bidirectional arrow is used in the figure, it does not mean that there is only one bus 12 or only one type of bus 12 .

[0058] The memory 11 is used to store programs, such as programs corresponding to the frozen soil roadbed disease monitoring device. The frozen soil roadbed disease monitoring device includes at least one software function module that can be stored in the memory 11 in the form of software or firmware or solidified in the operating system (OS) of the electronic device. After receiving the execution instruction, the processor 10 executes the program to implement the frozen soil roadbed disease monitoring method.

[0059] Possibly, the electronic device provided in the embodiment of the present invention further includes a communication interface 13. The communication interface 13 is connected to the processor 10 via a bus. The electronic device can be connected to other terminals via the communication interface 13 to obtain satellite roadbed monitoring data, drone roadbed monitoring data, and ground sensor roadbed monitoring data, etc.

[0060] It should be understood that Figure 1 The structure shown is only a schematic diagram of a portion of the electronic device. The electronic device may also include Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown. Figure 1 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0061] A frozen soil roadbed disease monitoring method provided by an embodiment of the present invention can be applied to, but not limited to, Figure 1 For detailed procedures, please refer to the electronic equipment shown in Figure 2 ,The monitoring methods for frozen soil roadbed diseases include : S40 and S50, which are described in detail as follows.

[0062] S40, obtaining a temperature index, an ice content index, and a frost heave rate index corresponding to the roadbed to be monitored at a target time.

[0063] Among them, the roadbed to be monitored is the roadbed located in the permafrost area.

[0064] Optionally, the step of obtaining the temperature index corresponding to the roadbed to be monitored at the target time includes: S41, S42, S43, S44 and S45, which are specifically described as follows.

[0065] S41, obtaining first-type surface temperature data, second-type surface temperature data, and third-type surface temperature data of the roadbed to be monitored within a target time period.

[0066] Among them, the target time period is a time period of preset length before the target moment, the first type of surface temperature data belongs to satellite roadbed monitoring data, the second type of surface temperature data belongs to drone roadbed monitoring data, and the third type of temperature data belongs to the temperature data of different depth layers of the roadbed to be monitored in the ground sensor roadbed monitoring data.

[0067] S42, obtaining a first temperature average value corresponding to the first type of surface temperature data within a target time period.

[0068] S43, obtaining a second temperature average value corresponding to the second type of surface temperature data within the target time period.

[0069] S44, obtaining a third temperature average value corresponding to the third type of temperature data within the target time period.

[0070] S45, performing a weighted calculation according to the first temperature average value, the second temperature average value, and the third temperature average value to determine a temperature index corresponding to the roadbed to be monitored at the target time.

[0071] Optionally, the ice content index of the roadbed to be monitored is the ice content corresponding to the target depth monitored by the ground sensor deployed on the roadbed to be monitored at the target time; the frost heave rate index of the roadbed to be monitored is the frost heave rate corresponding to the target depth monitored by the ground sensor deployed on the roadbed to be monitored at the target time.

[0072] S50, determining the degree of damage of the roadbed to be monitored according to the temperature index, the ice content index and the frost heave rate index.

[0073] Optionally, S50, the step of determining the degree of damage of the roadbed to be monitored according to the temperature index, the ice content index and the frost heave rate index, includes: S51, S52, S53 and S54, which are specifically described as follows.

[0074] S51, obtaining a temperature fuzzy set based on a temperature index, wherein the temperature fuzzy set includes a temperature fuzzy level corresponding to the temperature index and a membership degree corresponding to the temperature fuzzy level.

[0075] In the solution of the present application, when the temperature index is in the temperature interval corresponding to the temperature fuzzy level, it is determined that there is a corresponding relationship between the temperature index and the temperature fuzzy level, and the membership degree represents the degree of correspondence between the two.

[0076] It should be noted that the temperature ranges corresponding to adjacent temperature fuzzy levels may overlap.

[0077] Please refer to Table 1 below, which is used to show the corresponding relationship between the temperature index and the temperature fuzzy level.

[0078] Table 1

[0079]

[0080] Please refer to Figure 3 , Figure 3 A schematic diagram of the membership degree corresponding to the temperature fuzzy level provided in an embodiment of the present invention.

[0081] S52, obtaining an ice content fuzzy set based on the ice content index, wherein the ice content fuzzy set includes an ice content fuzzy level corresponding to the ice content index and a membership degree corresponding to the ice content fuzzy level.

[0082] In the present application scheme, when the ice content index is in the ice content interval corresponding to the ice content fuzzy level, it is determined that there is a corresponding relationship between the ice content index and the ice content fuzzy level, and the membership degree represents the degree of correspondence between the two.

[0083] It should be noted that the ice content ranges corresponding to adjacent ice content fuzzy levels may overlap.

[0084] Please refer to Table 2 below, which is used to show the corresponding relationship between the ice content index and the ice content fuzzy level.

[0085] Table 2

[0086]

[0087] Please refer to Figure 4 , Figure 4 A schematic diagram of the membership degree corresponding to the ice content paste level provided in an embodiment of the present invention.

[0088] S53, obtaining a frost heave rate fuzzy set based on the frost heave rate index, wherein the frost heave rate fuzzy set includes a frost heave rate fuzzy grade corresponding to the frost heave rate index and a membership degree corresponding to the frost heave rate fuzzy grade.

[0089] In the present application scheme, when the frost heave rate index is in the frost heave rate interval corresponding to the frost heave rate fuzzy level, it is determined that there is a corresponding relationship between the frost heave rate index and the frost heave rate fuzzy level, and the membership degree represents the degree of correspondence between the two.

[0090] It should be noted that the frost heave rate intervals corresponding to adjacent frost heave rate fuzzy levels may overlap.

[0091] Please refer to Table 3 below, which is used to show the corresponding relationship between the frost heave rate index and the frost heave rate fuzzy level.

[0092] Table 3

[0093]

[0094]

[0095] Please refer to Figure 5 , Figure 5 A schematic diagram of the membership degree corresponding to the frost heave rate paste level provided in an embodiment of the present invention.

[0096] S54, determining the degree of damage of the roadbed to be monitored according to the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set.

[0097] Optionally, S54, the step of determining the degree of damage of the roadbed to be monitored according to the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set, includes: S541, S542, S543 and S544, as follows.

[0098] S541, combining the elements in the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set to obtain various fuzzy level combinations.

[0099] Optionally, a temperature fuzzy level is selected from the temperature fuzzy set, an ice content fuzzy level is selected from the ice content fuzzy set, and a frost heave rate fuzzy level is selected from the frost heave rate fuzzy set to form a fuzzy level combination; that is, the fuzzy level combination includes a temperature fuzzy level in the temperature fuzzy set, an ice content fuzzy level in the ice content fuzzy set, and a frost heave rate fuzzy level in the frost heave rate fuzzy set.

[0100] S542, determining the combined membership corresponding to the fuzzy level combination according to the membership corresponding to the temperature fuzzy level, the membership corresponding to the ice content fuzzy level, and the membership corresponding to the frost heave rate fuzzy level in the fuzzy level combination.

[0101] S543, determining the corresponding preliminary estimated disease degree according to the temperature fuzzy level, the ice content fuzzy level and the frost heave rate fuzzy level in the fuzzy level combination.

[0102] Optionally, according to a pre-configured fuzzy matching rule, the preliminary estimated disease degree corresponding to the fuzzy level combination is determined. Please refer to Table 4 and Table 5 below, Table 4 is a schematic illustration of the fuzzy matching rule, and Table 5 is an illustration of the disease degree range.

[0103] Table 4

[0104]

[0105] In Table 4, T represents the temperature fuzzy level, W represents the ice content fuzzy level, X represents the expansion rate fuzzy level, and D represents the disease degree fuzzy level corresponding to the preliminary estimated disease degree.

[0106] Table 5

[0107]

[0108] S544, determining the degree of damage of the roadbed to be monitored based on the preliminary estimated degree of damage and its corresponding combined membership.

[0109] Because there may be overlaps between fuzzy levels, multiple fuzzy level combinations may be obtained, and then multiple preliminary estimated damage levels may be obtained. In this case, a comprehensive conversion can be performed based on the preliminary estimated damage level and its corresponding combination membership to obtain the final damage level of the roadbed to be monitored.

[0110] The frozen soil roadbed disease monitoring method provided by the embodiment of the present invention improves the frozen soil roadbed disease monitoring effect and ensures the accuracy of disease degree prediction by comprehensively considering the temperature index, ice content index and frost heave rate index of the roadbed to be monitored.

[0111] Regarding the determination method of the membership degree corresponding to the temperature fuzzy level, the membership degree corresponding to the ice content fuzzy level, and the membership degree corresponding to the frost heave rate fuzzy level, the embodiment of the present invention also provides an optional implementation method, please refer to the following, the membership degree calculation formula is:

[0112]

[0113] Among them, μ(x) represents the membership degree corresponding to the index x, the index x is any one of the temperature index, ice content index and frost heave rate index, a, b, c and d are the interval parameters in the temperature interval corresponding to the temperature fuzzy level in Table 1, or the interval parameters in the ice content interval corresponding to the ice content fuzzy level in Table 2, or the interval parameters in the frost heave rate interval corresponding to the frost heave rate fuzzy level in Table 3.

[0114] Please refer to Figure 6 In an optional implementation, the frozen soil roadbed disease monitoring method further includes: S10, S20 and S30, which are specifically described as follows.

[0115] S10, obtaining roadbed deformation data and / or surface moisture data corresponding to the roadbed to be monitored at the target time.

[0116] Among them, roadbed deformation data and / or surface moisture data belong to drone path monitoring data.

[0117] S20, determining whether there is an abnormal area in the roadbed to be monitored according to the roadbed deformation data and / or the surface moisture data. If yes, execute S30; if no, execute S40.

[0118] S30, issue an abnormal alarm.

[0119] It should be understood that the roadbed deformation data and surface moisture data are explicit features of roadbed pathology. The same explicit features can intuitively determine whether there are abnormalities in the roadbed. When it is determined that there are abnormal areas in the roadbed to be monitored, abnormal alarms will be issued to prompt staff to perform maintenance, avoid further losses, and reduce safety hazards.

[0120] See also Figure 7 , Figure 7 A frozen soil roadbed disease monitoring device is provided in an embodiment of the present invention. Optionally, the frozen soil roadbed disease monitoring device is applied to the electronic device described above.

[0121] The frozen soil roadbed disease monitoring device includes: a first processing unit 1001 and a second processing unit 1002 .

[0122] The first processing unit 1001 is used to obtain the temperature index, ice content index and frost heave rate index corresponding to the roadbed to be monitored at the target time;

[0123] The second processing unit 1002 is used to determine the degree of damage of the roadbed to be monitored according to the temperature index, the ice content index and the frost heave rate index.

[0124] Optionally, the first processing unit 1001 is further used to obtain roadbed deformation data and / or surface moisture data corresponding to the roadbed to be monitored at the target time, wherein the roadbed deformation data and / or surface moisture data belong to the UAV path monitoring data;

[0125] The second processing unit 1002 is further used to determine whether there is an abnormal area in the roadbed to be monitored according to the roadbed deformation data and / or the surface moisture data; if so, an abnormal alarm is issued.

[0126] It should be noted that the frozen soil roadbed disease monitoring device provided in this embodiment can execute the method flow shown in the above method flow embodiment to achieve the corresponding technical effect. For the sake of brief description, for parts not mentioned in this embodiment, please refer to the corresponding content in the above embodiment.

[0127] The embodiment of the present invention further provides a storage medium, which stores computer instructions and programs, and when the computer instructions and programs are read and run, the frozen soil roadbed disease monitoring method of the above embodiment is executed. The storage medium may include a memory, a flash memory, a register, or a combination thereof.

[0128] The following provides an electronic device, which may be a computer device or a server device. Figure 1As shown, the above-mentioned frozen soil roadbed disease monitoring method can be implemented; specifically, the electronic device includes: a processor 10, a memory 11, and a bus 12. The processor 10 can be a CPU. The memory 11 is used to store one or more programs. When the one or more programs are executed by the processor 10, the frozen soil roadbed disease monitoring method of the above-mentioned embodiment is executed.

[0129] In summary, the embodiments of the present invention provide a frozen soil roadbed disease monitoring method, device, storage medium and electronic device, which obtain the temperature index, ice content index and frost heave rate index corresponding to the roadbed to be monitored at the target time; according to the temperature index, ice content index and frost heave rate index, the disease degree of the roadbed to be monitored is determined. By comprehensively considering the temperature index, ice content index and frost heave rate index of the roadbed to be monitored, the monitoring effect of frozen soil roadbed diseases is improved, and the accuracy of disease degree prediction is guaranteed.

[0130] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0131] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for monitoring frozen soil roadbed diseases, characterized in that: The method comprises: Obtain the temperature index, ice content index and frost heave rate index corresponding to the roadbed to be monitored at the target time; The degree of damage of the roadbed to be monitored is determined according to the temperature index, the ice content index and the frost heave rate index.

2. The frozen soil roadbed disease monitoring method according to claim 1, characterized in that: The step of determining the degree of damage of the roadbed to be monitored according to the temperature index, the ice content index and the frost heave rate index comprises: Acquire a temperature fuzzy set based on the temperature index, wherein the temperature fuzzy set includes a temperature fuzzy level corresponding to the temperature index and a membership degree corresponding to the temperature fuzzy level; Acquire an ice content fuzzy set based on the ice content index, wherein the ice content fuzzy set includes an ice content fuzzy level corresponding to the ice content index and a membership degree corresponding to the ice content fuzzy level; Based on the frost heave rate index, a frost heave rate fuzzy set is obtained, wherein the frost heave rate fuzzy set includes a frost heave rate fuzzy level corresponding to the frost heave rate index and a membership degree corresponding to the frost heave rate fuzzy level; The degree of damage of the roadbed to be monitored is determined according to the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set.

3. The frozen soil roadbed disease monitoring method according to claim 2, characterized in that: The step of determining the degree of damage of the roadbed to be monitored according to the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set comprises: Combining the elements in the temperature fuzzy set, the ice content fuzzy set and the frost heave rate fuzzy set to obtain various fuzzy level combinations; Determine the combined membership corresponding to the fuzzy level combination according to the membership corresponding to the temperature fuzzy level, the membership corresponding to the ice content fuzzy level, and the membership corresponding to the frost heave rate fuzzy level in the fuzzy level combination; Determine the corresponding preliminary estimated disease degree according to the temperature fuzzy level, ice content fuzzy level and frost heave rate fuzzy level in the fuzzy level combination; The degree of damage of the roadbed to be monitored is determined based on the preliminary estimated damage degree and its corresponding combined membership.

4. The frozen soil roadbed disease monitoring method according to claim 1, characterized in that: The steps of obtaining the temperature index corresponding to the roadbed to be monitored at the target time include: Acquire first-type surface temperature data, second-type surface temperature data, and third-type surface temperature data of the roadbed to be monitored within a target time period; The target time period is a time period of a preset length before the target time, the first type of surface temperature data belongs to satellite roadbed monitoring data, the second type of surface temperature data belongs to drone roadbed monitoring data, and the third type of temperature data belongs to the temperature data of different depth layers of the roadbed to be monitored in the ground sensor roadbed monitoring data; Obtaining a first temperature average value corresponding to the first type of surface temperature data within a target time period; Obtain a second temperature average value corresponding to the second type of surface temperature data within a target time period; Obtaining a third temperature average value corresponding to the third type of temperature data within a target time period; A weighted calculation is performed based on the first temperature average value, the second temperature average value, and the third temperature average value to determine a temperature index corresponding to the roadbed to be monitored at a target time.

5. The frozen soil roadbed disease monitoring method according to claim 1, characterized in that: The ice content index of the roadbed to be monitored is the ice content corresponding to the target depth monitored by the ground sensor deployed on the roadbed to be monitored at the target time; The frost heave rate index of the roadbed to be monitored is the frost heave rate corresponding to the target depth monitored by the ground sensor deployed on the roadbed to be monitored at the target time.

6. The frozen soil roadbed disease monitoring method according to claim 1, characterized in that: The method comprises: Obtaining roadbed deformation data and / or surface moisture data corresponding to the roadbed to be monitored at the target time, wherein the roadbed deformation data and / or surface moisture data belong to the UAV path monitoring data; Determining whether there is an abnormal area in the roadbed to be monitored according to the roadbed deformation data and / or the surface moisture data; If so, an abnormal alarm is issued.

7. A frozen soil roadbed disease monitoring device, characterized in that: The device comprises: The first processing unit is used to obtain the temperature index, ice content index and frost heave rate index corresponding to the roadbed to be monitored at the target time; The second processing unit is used to determine the degree of damage of the roadbed to be monitored according to the temperature index, the ice content index and the frost heave rate index.

8. The frozen soil roadbed disease monitoring device according to claim 7, characterized in that: The first processing unit is further used to obtain roadbed deformation data and / or surface moisture data corresponding to the roadbed to be monitored at the target time, wherein the roadbed deformation data and / or surface moisture data belong to the UAV path monitoring data; The second processing unit is further used to determine whether there is an abnormal area in the roadbed to be monitored according to the roadbed deformation data and / or the surface moisture data; if so, an abnormal alarm is issued.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. An electronic device, characterized in that: include: A processor and a memory, the memory being used to store one or more programs; When the one or more programs are executed by the processor, the method according to any one of claims 1 to 6 is implemented.

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