Tunnel health state evaluation and early warning method, platform, terminal and medium

Abstract

The embodiment of the invention relates to the field of tunnel monitoring, and provides a tunnel health state evaluation and early warning method, platform, terminal and medium, and the method comprises the steps: obtaining tunnel parameter information and environment information of a to-be-detected tunnel; determining state grade information of the to-be-detected tunnel according to the tunnel parameter information, the environment information and the tunnel type information of the to-be-detected tunnel; performing health state evaluation on the tunnel to be detected according to the state level information to obtain a tunnel health state evaluation result; according to the invention, early warning processing is carried out according to the tunnel health state assessment result, health state assessment can be carried out in combination with tunnel parameter information, environment information and tunnel type information, and early warning processing is finally carried out according to the tunnel health state assessment result, so that state assessment and early warning processing can be dynamically carried out, and the accuracy of early warning processing is improved.

Description

Technical Field

[0001] The present application relates to the technical field of tunnel monitoring, and in particular to a tunnel health status assessment and early warning method, platform, terminal and medium. Background Art

[0002] Monitoring and early warning are important links in long-term tunnel monitoring. Timely warning can avoid tunnel disasters and accidents. The existing scheme usually uses whether the stress and deformation of the tunnel structure exceed the allowable range to judge the safety of the tunnel. At this time, it is necessary to set the monitoring early warning value. According to the existing engineering practice experience, the tunnel monitoring early warning value uses the two indicators of change amount and change rate as the standard for comprehensively judging the safety of the tunnel structure and whether to issue an early warning, so as to carry out subsequent early warning processing.

[0003] However, in the existing solution, the accuracy of early warning processing using the above method will be reduced because the status of the tunnel will change after use. Summary of the invention

[0004] The embodiments of the present application provide a tunnel health status assessment and early warning method, platform, terminal and medium, which can combine tunnel parameter information, environmental information and tunnel type information to perform health status assessment and ultimately perform early warning processing based on the tunnel health status assessment results, thereby dynamically performing status assessment and early warning processing, thereby improving the accuracy of early warning processing.

[0005] A first aspect of an embodiment of the present application provides a tunnel health status assessment and early warning method, the method comprising:

[0006] Obtain tunnel parameter information and environment information of the tunnel to be detected;

[0007] Determine the status level information of the tunnel to be detected according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected;

[0008] Performing a health status assessment on the tunnel to be inspected according to the status level information to obtain a tunnel health status assessment result;

[0009] Early warning processing is carried out based on the tunnel health status assessment results.

[0010] In this example, tunnel parameter information and environmental information of the tunnel to be detected are obtained, and the status level information of the tunnel to be detected is determined according to the tunnel parameter information, environmental information and tunnel type information of the tunnel to be detected. A health status assessment is performed on the tunnel to be detected according to the status level information to obtain a tunnel health status assessment result, and early warning processing is performed according to the tunnel health status assessment result. Therefore, a health status assessment can be performed in combination with the tunnel parameter information, environmental information and tunnel type information, and finally early warning processing can be performed according to the tunnel health status assessment result, so that status assessment and early warning processing can be performed dynamically, thereby improving the accuracy of early warning processing.

[0011] A second aspect of an embodiment of the present application provides a tunnel health status assessment and early warning device, the device comprising:

[0012] An acquisition unit, used to acquire tunnel parameter information and environment information of the tunnel to be detected;

[0013] A determination unit, configured to determine the status level information of the tunnel to be detected according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected;

[0014] An evaluation unit, configured to perform health status evaluation on the tunnel to be detected according to the status level information, and obtain a tunnel health status evaluation result;

[0015] The early warning unit is used to perform early warning processing according to the tunnel health status assessment results.

[0016] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiment of the present application.

[0017] The fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiments of the present application.

[0018] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A schematic diagram of a process for tunnel health status assessment and early warning is provided for an embodiment of the present application;

[0021] Figure 2 A detection schedule for tunnel parameter information is provided for the embodiment of the present application;

[0022] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0023] Figure 4 A structural schematic diagram of a tunnel health status assessment and early warning device is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0026] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0027] In order to better understand a tunnel health status assessment and early warning method provided by an embodiment of the present application, the following first briefly introduces the scenario of applying the tunnel health status assessment and early warning method. During the use process after the tunnel is built, it is necessary to monitor the health of the tunnel to determine the safety of the tunnel in use. When performing tunnel health monitoring, it is usually necessary to detect the relevant parameters of the tunnel, for example, the temperature value, humidity value, lining stress, steel stress, bolt axial force, etc. in the tunnel, and use the detection results to evaluate the health status of the tunnel, obtain the health status of the tunnel, and finally make an early warning judgment. However, when performing the status assessment, it is usually necessary to compare the collected temperature value, humidity value, lining stress, steel stress, bolt axial force, etc. with the corresponding threshold interval, etc., to obtain the comparison result, and perform the health status assessment based on the comparison result. Since the threshold for status assessment will change with the increase of the use time after the tunnel is used, if a fixed threshold is used for health status assessment, the accuracy of the health status assessment will decrease, and even misjudgment may occur.

[0028] In order to solve the above-mentioned problems, an embodiment of the present application provides a tunnel health status assessment and early warning method, which can combine tunnel parameter information, environmental information and tunnel type information to perform health status assessment and finally perform early warning processing according to the tunnel health status assessment results, thereby dynamically performing status assessment and early warning processing, thereby improving the accuracy of early warning processing.

[0029] See also Figure 1 , Figure 1 A schematic diagram of a tunnel health status assessment and early warning method is provided for an embodiment of the present application. Figure 1 As shown, the method includes:

[0030] 101. Obtain tunnel parameter information and environment information of the tunnel to be detected.

[0031] Among them, tunnel parameter information and environmental information can be obtained through intelligent sensors set in the tunnel to be detected. Tunnel parameter information includes, but is not limited to, vibration speed, river (sea) bed change information, deformation parameter information, force information, disease information, etc. Specifically, deformation parameter information includes peripheral convergence, arch sinking, wall foot sinking, road surface heave, longitudinal differential settlement, tunnel horizontal displacement, tunnel vertical displacement, tunnel entrance side slope deformation, joint (head) opening and displacement, etc., and force information includes: lining stress, steel stress, bolt axial force, shear key stress, etc. Disease information includes crack width, water leakage, deformation joint opening, road surface misalignment, etc. Environmental information includes temperature and humidity in the tunnel, surrounding rock temperature, gas and harmful gas concentration, etc. The above parameter information can be collected by intelligent sensors, and of course it can also be obtained by other means, which is not specifically limited here.

[0032] 102. Determine status level information of the tunnel to be detected according to the tunnel parameter information, environment information, and tunnel type information of the tunnel to be detected.

[0033] Among them, one level information can be determined according to the tunnel type information and tunnel parameter information, and another level information can be determined according to the environment information, and the two level information can be fused to obtain the state level information of the tunnel to be detected. Therefore, the level information can be determined separately and fused according to the characteristics of the information to obtain the state level information, thereby improving the accuracy of determining the state level information.

[0034] Of course, it is also possible to extract abnormal tunnel parameter information from the tunnel parameter information and construct an abnormal map to obtain the first abnormal information map of the tunnel, then use the environment information and tunnel type information to construct the tunnel environment map, and fuse the first abnormal information map of the tunnel with the tunnel environment map to obtain the second abnormal information map of the tunnel, and finally use the second abnormal information map of the tunnel to determine the state level information. In this way, the abnormal map can be combined to accurately analyze the abnormal information, and finally the state level information is obtained, which improves the accuracy of determining the state level information.

[0035] 103. Perform a health status assessment on the tunnel to be inspected according to the status level information to obtain a tunnel health status assessment result.

[0036] The tunnel health status assessment result corresponding to the status level information of the tunnel to be detected may be determined according to the mapping relationship between the preset status level information and the tunnel health status assessment result.

[0037] 104. Carry out early warning processing based on the tunnel health status assessment results.

[0038] Among them, the over-limit level can be determined according to the tunnel health status assessment result, and the alarm information can be determined according to the health level determined by the over-limit level, and finally the alarm information can be displayed. The alarm information includes the early warning assessment information of the tunnel to be detected.

[0039] In this example, tunnel parameter information and environmental information of the tunnel to be detected are obtained, and the status level information of the tunnel to be detected is determined according to the tunnel parameter information, environmental information and tunnel type information of the tunnel to be detected. A health status assessment is performed on the tunnel to be detected according to the status level information to obtain a tunnel health status assessment result, and early warning processing is performed according to the tunnel health status assessment result. Therefore, a health status assessment can be performed in combination with the tunnel parameter information, environmental information and tunnel type information, and finally early warning processing can be performed according to the tunnel health status assessment result, so that status assessment and early warning processing can be performed dynamically, thereby improving the accuracy of early warning processing.

[0040] In a possible implementation, a method for determining status level information of a tunnel to be detected based on the tunnel parameter information, the environment information, and the tunnel type information of the tunnel to be detected includes:

[0041] A1. Determine first reference status level information according to the tunnel type information and the tunnel parameter information;

[0042] A2. Determine second reference state level information according to the environmental information;

[0043] A3. Fusing the first reference level information and the second reference level information to obtain status level information of the tunnel to be detected.

[0044] Among them, target tunnel parameter information can be screened out from the tunnel parameter information according to the tunnel type information, and the target parameter information is tunnel parameter information with a high correlation with the security of the tunnel to be detected.

[0045] The second reference state level information can be determined according to a preset mapping relationship table between environmental information and state levels. The preset mapping relationship table between environmental information and state levels is as follows:

[0046]

[0047]

[0048] The design value is a pre-set value, which is specifically related to the attribute value when the tunnel is built. Therefore, the state level can be determined through the above mapping table.

[0049] The weight corresponding to the first reference level information and the weight corresponding to the second reference level information can be obtained respectively, and the weight operation is performed on the first reference level information and the second reference level information using the weight to obtain the weight operation result, and finally the status level information corresponding to the weight operation result is used as the status level information of the tunnel to be detected.

[0050] In this example, the first reference status level information determined by the tunnel type information and the tunnel parameter information, as well as the second reference status level information determined by the environmental information are respectively obtained, and then the first reference status level information and the second reference status level information are fused to obtain the status level information of the tunnel to be detected, thereby improving the efficiency and accuracy in determining the status level information of the tunnel to be detected.

[0051] In a possible implementation, a method for determining first reference status level information according to the tunnel type information and the tunnel parameter information includes:

[0052] B1. determining target tunnel parameter information from the tunnel parameter information according to the tunnel type information;

[0053] B2. Perform status analysis and processing according to the target tunnel parameter information to obtain first reference status level information.

[0054] Among them, different tunnel type information has its corresponding detection parameter category, so that the target tunnel parameter information can be determined from the tunnel parameter information according to the detection parameter category. The detection parameter category can be tunnel parameter information with a high correlation with the safety of the tunnel to be detected. The tunnel type information includes drill and blast tunnel, shield tunnel, open cut tunnel, and immersed tube tunnel.

[0055] The first reference state level information may be obtained by performing state analysis processing according to the target tunnel parameter information through the mapping relationship shown in the following table. Specifically, it may be:

[0056]

[0057]

[0058]

[0059] Among them, the information marked with √ is the target tunnel parameter information, and the first reference status level information can be the over-limit level in the above table.

[0060] In a possible implementation, a method for determining status level information of a tunnel to be detected based on the tunnel parameter information, the environment information, and the tunnel type information of the tunnel to be detected includes:

[0061] C1. extracting abnormal tunnel parameter information from the tunnel parameter information according to the tunnel type information;

[0062] C2. construct an abnormal graph according to the abnormal tunnel parameter information and the tunnel type information to obtain a first abnormal information graph of the tunnel;

[0063] C3. Constructing a tunnel environment spectrum according to the environment information and the tunnel type information to obtain a tunnel environment spectrum;

[0064] C4. Fusing the first tunnel abnormal information map and the tunnel environment map to obtain a second tunnel abnormal information map;

[0065] C5. Determine the status level information of the tunnel to be detected according to the second abnormal information map of the tunnel.

[0066] Among them, different tunnel type information has corresponding tunnel parameter information with a high security correlation, and abnormal information in the tunnel parameter information with a high security correlation can be extracted to obtain abnormal tunnel parameter information.

[0067] The initial abnormal graph template can be determined according to the tunnel type information. Different tunnel types have their corresponding initial abnormal graph templates, so the initial abnormal graph template corresponding to the tunnel type information can be extracted.

[0068] Keywords are extracted from the abnormal tunnel parameter information to obtain a keyword set; matching processing is performed on the initial abnormal map template according to the keywords in the keyword set to obtain information annotation position information corresponding to the keywords; template adaptation processing is performed on the abnormal tunnel parameter information corresponding to the keywords in the keyword set to obtain the abnormal tunnel parameter information after adaptation processing; the abnormal tunnel parameter information after adaptation processing corresponding to the keywords is set at the position indicated by the information annotation position information to obtain a reference abnormal map; compliance verification processing is performed on the reference abnormal map to obtain a verification processing result; correction processing is performed on the reference abnormal map according to the verification processing result to obtain the first abnormal information map of the tunnel.

[0069] Among them, a general keyword extraction method can be used to extract keywords to obtain a keyword set. The keywords are matched with the keywords at the marked positions in the initial abnormal graph template, and the marked position information corresponding to the keywords at the marked positions with the highest similarity is determined as the marked position information corresponding to the keywords in the keyword set. The abnormal tunnel parameter information corresponding to the keywords can be standardized according to the preset data template to obtain the abnormal tunnel parameter information after adaptation, so as to improve the standardization of subsequent abnormal information graphs and facilitate subsequent analysis and processing. The method for performing compliance verification processing on the reference abnormal graph can be to perform compliance verification processing using a preset compliance standard to obtain a verification processing result, and the verification processing result includes a compliance conclusion, and the compliance conclusion includes compliance and non-compliance. When the compliance conclusion is non-compliance, the verification processing result also includes non-compliant marked position information, and the corresponding abnormal tunnel parameter information after adaptation, and the difference information between the abnormal tunnel parameter information after adaptation and the preset compliance standard. Finally, the reference abnormality map can be corrected according to the difference information to obtain the first abnormality information map of the tunnel. Specifically, the deviation between the abnormal tunnel parameter information after adaptation and the preset compliance standard can be determined according to the difference information, and the adjustment information can be determined according to the deviation. The abnormal tunnel parameter information after adaptation in the reference abnormality map can be adjusted according to the adjustment information to obtain the first abnormality information map of the tunnel. Different deviations have different adjustment information, and the adjustment information can make the adjusted abnormal tunnel parameter information after adaptation meet the preset compliance standard. Therefore, the first abnormality information map of the tunnel can be constructed according to the adaptation process and in combination with the correction process, which can improve the accuracy of the construction of the first abnormality information map of the tunnel.

[0070] The same method as that for constructing the first abnormal information map of the tunnel can be used to construct the tunnel environment map, which will not be described in detail here.

[0071] A general graph fusion processing method can be used to fuse the first tunnel abnormal information graph and the tunnel environment graph to obtain the second tunnel abnormal information graph. For example, the corresponding position data in the graph is processed comprehensively to achieve the fusion of the graphs and obtain the second tunnel abnormal information graph. This is only an example.

[0072] The second abnormal information map of the tunnel can be input into a preset state level detection model to perform state level evaluation to obtain the state level information of the tunnel to be detected. The preset state level detection model is a model that has been successfully trained in advance and is used for state level evaluation. Thus, the state level information of the tunnel to be detected can be quickly determined based on the second abnormal information map of the tunnel.

[0073] In a possible implementation, a method for performing early warning processing according to a tunnel health status assessment result includes:

[0074] D1. Determine the level of over-limit according to the tunnel health status assessment result;

[0075] D2. Determine the health level according to the over-limit level;

[0076] D3. Determine alarm information according to the health level, wherein the alarm information includes early warning evaluation information of the tunnel to be detected;

[0077] D4. Display the warning information.

[0078] Different tunnel health status assessment results have corresponding over-limit levels, and therefore, the over-limit level corresponding to the tunnel health status assessment result can be determined according to the mapping relationship.

[0079] The health level corresponding to the over-limit level can be determined by querying the health level table. The health level table is as follows:

[0080]

[0081] The early warning evaluation information in the alarm information corresponding to the health level can be determined according to the health level table. The alarm information can be sent to an electronic device of a tunnel maintenance personnel, and the alarm information can be displayed on the electronic device.

[0082] The embodiment of the present application also provides a detection schedule for each tunnel parameter information, such as Figure 2 As shown. And after the tunnel parameter information is abnormal, the tunnel inspection prompt information set according to the abnormal level can be:

[0083] Tunnel Inspection Tips Information Table

[0084]

[0085]

[0086] For the above embodiments, please refer to Figure 3 , Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, as shown in the figure, includes a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;

[0087] Obtain tunnel parameter information and environment information of the tunnel to be detected;

[0088] Determine the status level information of the tunnel to be detected according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected;

[0089] Performing a health status assessment on the tunnel to be inspected according to the status level information to obtain a tunnel health status assessment result;

[0090] Early warning processing is carried out based on the tunnel health status assessment results.

[0091] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the terminal includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0092] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0093] In line with the above, see Figure 4 , Figure 4 The present invention provides a schematic diagram of a tunnel health status assessment and early warning platform. Figure 4 As shown, the platform includes:

[0094] An acquisition unit 401 is used to acquire tunnel parameter information and environment information of a tunnel to be detected;

[0095] A determining unit 402, configured to determine the status level information of the tunnel to be detected according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected;

[0096] An evaluation unit 403 is used to perform health status evaluation on the tunnel to be detected according to the status level information to obtain a tunnel health status evaluation result;

[0097] The early warning unit 404 is used to perform early warning processing according to the tunnel health status assessment result.

[0098] In a possible implementation, the determining unit 402 is specifically configured to:

[0099] Determine first reference status level information according to the tunnel type information and the tunnel parameter information;

[0100] Determine second reference state level information according to the environmental information;

[0101] The first reference level information and the second reference level information are fused to obtain the status level information of the tunnel to be detected.

[0102] In a possible implementation manner, in determining the first reference status level information according to the tunnel type information and the tunnel parameter information, the determining unit 402 is specifically configured to:

[0103] Determining target tunnel parameter information from the tunnel parameter information according to the tunnel type information;

[0104] State analysis is performed according to the target tunnel parameter information to obtain first reference state level information.

[0105] In a possible implementation, the determining unit 402 is specifically configured to:

[0106] extracting abnormal tunnel parameter information from the tunnel parameter information according to the tunnel type information;

[0107] Constructing an abnormal graph according to the abnormal tunnel parameter information and the tunnel type information to obtain a first abnormal information graph of the tunnel;

[0108] Constructing a tunnel environment spectrum according to the environment information and the tunnel type information to obtain a tunnel environment spectrum;

[0109] The first tunnel abnormal information map and the tunnel environment map are fused to obtain a second tunnel abnormal information map;

[0110] The status level information of the tunnel to be detected is determined according to the second abnormal information map of the tunnel.

[0111] In a possible implementation, the early warning unit 404 is specifically configured to:

[0112] Determining the level of over-limit according to the tunnel health status assessment result;

[0113] determining a health level according to the overlimit level;

[0114] Determining alarm information according to the health level, the alarm information including early warning evaluation information of the tunnel to be detected;

[0115] The warning information is displayed.

[0116] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any tunnel health status assessment and early warning method recorded in the above method embodiments.

[0117] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute part or all of the steps of any tunnel health status assessment and early warning method recorded in the above method embodiments.

[0118] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0119] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0120] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0121] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0122] In addition, the functional units in the various embodiments of the application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software program modules.

[0123] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a terminal device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0124] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0125] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A tunnel health status assessment and early warning method, characterized in that: The method comprises: Obtain tunnel parameter information and environment information of the tunnel to be detected; Determine the status level information of the tunnel to be detected according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected; Performing a health status assessment on the tunnel to be inspected according to the status level information to obtain a tunnel health status assessment result; Early warning processing is carried out based on the tunnel health status assessment results.

2. The tunnel health status assessment and early warning method according to claim 1 is characterized in that: The determining, according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected, the status level information of the tunnel to be detected includes: Determine first reference status level information according to the tunnel type information and the tunnel parameter information; Determine second reference state level information according to the environmental information; The first reference level information and the second reference level information are fused to obtain the status level information of the tunnel to be detected.

3. The tunnel health status assessment and early warning method according to claim 2 is characterized in that: Determining first reference status level information according to the tunnel type information and the tunnel parameter information includes: Determining target tunnel parameter information from the tunnel parameter information according to the tunnel type information; State analysis is performed according to the target tunnel parameter information to obtain first reference state level information.

4. The tunnel health status assessment and early warning method according to claim 1 is characterized in that: Determining state level information of the tunnel to be detected according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected, including: extracting abnormal tunnel parameter information from the tunnel parameter information according to the tunnel type information; Constructing an abnormal graph according to the abnormal tunnel parameter information and the tunnel type information to obtain a first abnormal information graph of the tunnel; Constructing a tunnel environment spectrum according to the environment information and the tunnel type information to obtain a tunnel environment spectrum; The first tunnel abnormal information map and the tunnel environment map are fused to obtain the second tunnel abnormal information map; The status level information of the tunnel to be detected is determined according to the second abnormal information map of the tunnel.

5. The tunnel health status assessment and early warning method according to any one of claims 1 to 4, characterized in that: Performing early warning processing according to the tunnel health status assessment result includes: Determining the level of over-limit according to the tunnel health status assessment result; determining a health level according to the overlimit level; Determining alarm information according to the health level, the alarm information including early warning evaluation information of the tunnel to be detected; The warning information is displayed.

6. A tunnel health status assessment and early warning platform, characterized in that: The platform includes: An acquisition unit, used to acquire tunnel parameter information and environment information of the tunnel to be detected; A determination unit, configured to determine the status level information of the tunnel to be detected according to the tunnel parameter information, the environment information and the tunnel type information of the tunnel to be detected; An evaluation unit, configured to perform health status evaluation on the tunnel to be detected according to the status level information, and obtain a tunnel health status evaluation result; The early warning unit is used to perform early warning processing according to the tunnel health status assessment results.

7. The tunnel health status assessment and early warning device according to claim 6 is characterized in that: The determining unit is specifically used for: Determine first reference status level information according to the tunnel type information and the tunnel parameter information; Determine second reference state level information according to the environmental information; The first reference level information and the second reference level information are fused to obtain the status level information of the tunnel to be detected.

8. The tunnel health status assessment and early warning device according to claim 7 is characterized in that: In the aspect of determining the first reference status level information according to the tunnel type information and the tunnel parameter information, the determining unit is specifically configured to: Determining target tunnel parameter information from the tunnel parameter information according to the tunnel type information; State analysis is performed according to the target tunnel parameter information to obtain first reference state level information.

9. A terminal, characterized in that: It includes a processor, an input device, an output device and a memory, which are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the tunnel health status assessment and early warning method as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, the processor executes the tunnel health status assessment and early warning method according to any one of claims 1 to 5.

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