A method for factorizing characteristics of sensitive elements of road hazards based on numerical mapping

Abstract

The present application relates to a method for factorizing the characteristics of road hazard sensitive elements based on numerical mapping, which includes: splitting the road network in a preset area to obtain road network data containing several road analysis grids; analyzing the mechanism of road collapse hazards on the road network to obtain road hazard sensitive elements and characteristic factors; constructing an attribute-factor knowledge graph based on the attribute information and characteristic factors of road hazard sensitive elements; establishing a correspondence between each road analysis grid and the corresponding road hazard sensitive element based on the spatial location information and road network data of the road hazard sensitive elements; taking the road analysis grid as a unit, assigning values ​​to the characteristic factors according to the preset quantization rules based on the attribute-factor knowledge graph and the corresponding relationship, and mapping the assigned characteristic factors to the corresponding road analysis grids. Through this application, the problem of how to quantitatively evaluate the susceptibility of road collapse is solved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method for factorizing characteristics of sensitive elements of road hazards based on numerical mapping. Background Art

[0002] At present, the research on various sensitive disaster-causing factors of road hazards is mainly based on qualitative analysis. However, the disaster-causing factors of road hazards are diverse, closely related and influence each other. Traditional risk qualitative analysis methods are difficult to clearly present the impact degree of various sensitive disaster-causing factors.

[0003] At present, there is no effective solution for the problem of how to quantify the sensitive factors of road collapse risks in relevant technologies and scientifically evaluate the susceptibility of road collapse. Summary of the invention

[0004] The embodiment of the present application provides a method for factorizing characteristics of sensitive elements of road hazards based on numerical mapping, so as to at least solve the problem of how to accurately assess the probability of occurrence of road collapse disasters in the related art.

[0005] In a first aspect, an embodiment of the present application provides a method for factorizing characteristics of road hazard sensitive elements based on numerical mapping, the method comprising:

[0006] Grid-splitting the road network in the preset area to obtain road network data containing a number of road analysis grids;

[0007] Analyze the mechanism of road collapse hazards on the roads in the preset area to obtain sensitive elements and characteristic factors of road hazards;

[0008] Based on the attribute information and characteristic factors of the road hidden danger sensitive elements, construct an element attribute-factor knowledge graph;

[0009] Based on the spatial location information of the road hidden danger sensitive elements and the road network data, a corresponding relationship between each road analysis grid and the corresponding road hidden danger sensitive elements is established;

[0010] Taking the road analysis grid as a unit, based on the feature attribute-factor knowledge graph and the corresponding relationship, the characteristic factor is assigned according to a preset quantization rule, and the assigned characteristic factor is mapped to the corresponding road analysis grid.

[0011] In some embodiments, the road collapse hazard mechanism analysis is performed on the roads in the preset area to obtain the road hazard sensitive elements and characteristic factors including:

[0012] The mechanism of road collapse hazards is analyzed for the roads in the preset area to obtain sensitive elements and characteristic factors of road hazards, wherein the sensitive elements of road hazards include geological elements, pipeline elements, underground municipal facilities elements, engineering construction foundation pit elements and road scanning and detection elements.

[0013] In some embodiments, based on the attribute information and characteristic factors of the road hazard sensitive elements, constructing the element attribute-factor knowledge graph includes:

[0014] Based on the attribute information of the road hidden danger sensitive element, determining a first characteristic factor having a first correlation relationship with the geological element, wherein the first characteristic factor includes the thickness of the silty soil layer, the thickness of the miscellaneous fill soil layer and the soil layer structure;

[0015] Based on the attribute information of the road hidden danger sensitive element, determine the second characteristic factor having a second correlation relationship with the pipeline element, wherein the second characteristic factor includes pipeline laying age, pipeline design service life, pipeline service life status, pipeline length, pipeline density, average pipeline burial depth, pipeline pipe material, pipeline diameter, pipeline connection method and gas pipeline pressure;

[0016] Based on the attribute information of the road hidden danger sensitive element, determine the third characteristic factor having a third correlation relationship with the underground municipal facility element, wherein the third characteristic factor includes excavation method, excavation depth, support scheme, area, underground tunnel length, main body highest elevation and main body deepest elevation;

[0017] Based on the attribute information of the road hidden danger sensitive element, determining a fourth characteristic factor having a fourth correlation relationship with the engineering construction foundation pit element, wherein the fourth characteristic factor includes construction status, excavation depth and support method;

[0018] Based on the attribute information of the road hidden danger sensitive element, a fifth characteristic factor having a fifth association relationship with the road scanning detection element is determined, wherein the fifth characteristic factor includes treatment measures, bottom depth of the diseased body, top depth of the diseased body, type of the diseased body, area of ​​the diseased body and elimination time;

[0019] Based on the first association relationship, the second association relationship, the third association relationship, the fourth association relationship and the fifth association relationship, a feature attribute-factor knowledge graph is constructed.

[0020] In some embodiments, assigning values ​​to the characteristic factors according to preset quantization rules includes:

[0021] The first characteristic factor, the second characteristic factor, the third characteristic factor, the fourth characteristic factor and the fifth characteristic factor are assigned values ​​according to a preset quantization rule.

[0022] In some embodiments, assigning a value to the first characteristic factor according to a preset quantization rule includes:

[0023] pass The thickness of the silty soil layer is assigned a value, wherein: is the maximum elevation of silty soil, is the minimum elevation of silty soil;

[0024] pass The thickness of the miscellaneous fill soil layer is assigned a value, wherein: is the maximum elevation of the miscellaneous fill, is the minimum elevation of miscellaneous fill;

[0025] pass The soil layer structure is assigned a value, wherein: It means that the geological elements are deduplicated and merged according to the soil layer categories.

[0026] In some embodiments, assigning a value to the second characteristic factor according to a preset quantization rule includes:

[0027] pass The pipeline laying years of each type of pipe are assigned values, wherein: It is the maximum value of the laying age of all pipelines under the road section;

[0028] pass The designed service life of the pipeline is assigned a value, wherein: VLOOKUP ( SJ max( PS i )) i Indicates that the design service life of the pipeline is calculated based on the maximum value of the pipeline laying years;

[0029] pass The service life status of the pipeline is assigned a value, wherein: is the maximum laying age of each pipeline type, The design service life of each pipeline type;

[0030] pass The length of each type of pipeline is assigned a value, wherein: is the corresponding pipeline length of the i-th pipeline;

[0031] pass The pipeline density is assigned a value, wherein: S i is the area of ​​the road analysis grid, The total length of pipelines under each pipeline type in the road analysis grid;

[0032] pass The average buried depth of the pipeline is assigned a value, wherein: is the buried depth of the starting point of the pipeline, The buried depth of the pipeline terminal;

[0033] pass The pipeline pipe is assigned a value, wherein: Indicates that the pipeline materials of each pipeline are classified and summarized;

[0034] pass The pipeline diameter is assigned a value, wherein: Indicates that the diameter of each pipeline takes the minimum value;

[0035] pass The pipeline connection mode is assigned a value, wherein: It means to remove duplicates and combine the connection modes of each pipeline;

[0036] pass The gas pipeline pressure is assigned a value, wherein: Indicates that the pressure of the gas pipeline is taken to the maximum value.

[0037] In some embodiments, assigning a value to the third characteristic factor according to a preset quantization rule includes:

[0038] pass The excavation method is assigned a value, wherein: It indicates the summary of excavation methods used in the construction of underground municipal facilities within a certain buffer zone;

[0039] pass The excavation depth is assigned a value, wherein: It indicates summarizing the excavation depth of underground municipal facilities during construction within a certain buffer zone;

[0040] pass The support scheme is assigned a value, wherein: It means summarizing the support plans for the construction of underground municipal facilities within a certain buffer zone;

[0041] pass The area is assigned a value, wherein: It means summarizing the area occupied by underground municipal facilities within a certain buffer zone;

[0042] pass The length of the underground tunnel is assigned a value, wherein: It means summarizing the lengths of underground tunnels within a certain buffer zone;

[0043] pass The highest elevation of the main body is assigned a value, wherein: It means summarizing the top elevations of the main highest points of underground municipal facilities within a certain buffer zone;

[0044] pass The deepest elevation of the main body is assigned a value, wherein: It means summarizing the deepest bottom elevations of underground municipal facilities within a certain buffer zone.

[0045] In some embodiments, assigning a value to the fourth characteristic factor according to a preset quantization rule includes:

[0046] pass The construction status is assigned a value, wherein: It means summarizing the construction status of each foundation pit project within a certain buffer zone;

[0047] pass The excavation depth is assigned a value, wherein: It means summarizing the excavation depth of each foundation pit project within a certain buffer zone;

[0048] pass The support mode is assigned a value, wherein: It means summarizing the support methods of various foundation pit projects within a certain buffer zone.

[0049] In some embodiments, assigning a value to the fifth characteristic factor according to a preset quantization rule includes:

[0050] pass The disposal measures are assigned values, wherein: dis i The treatment measures for the i-th diseased object detected by road scanning;

[0051] pass The bottom depth of the diseased body is assigned a value, wherein: The bottom depth of each diseased body detected by road scanning;

[0052] pass The top depth of the diseased body is assigned a value, wherein: The top depth of each diseased body detected by road scanning;

[0053] pass The diseased body type is assigned a value, wherein: Indicates the most dangerous types of diseases detected by road scanning;

[0054] pass The area of ​​the diseased body is assigned a value, wherein: The area of ​​the most dangerous type of damage detected by the road scan;

[0055] pass The elimination time is assigned a value, wherein: It is the elimination time of each disease body detected by road scanning.

[0056] In some embodiments, based on the spatial location information of the road hazard sensitive elements and the road network data, establishing the corresponding relationship between each road analysis grid and the corresponding road hazard sensitive elements includes:

[0057] Based on the position of each road analysis grid in the road network in the road network data, the outer transition zone of each road analysis grid is determined;

[0058] Based on the spatial position information of the road hazard sensitive elements, determining the first road hazard sensitive elements of each road analysis grid and the second road hazard sensitive elements of the peripheral transition zone;

[0059] The attribute information in the first road hazard sensitive element and the second road hazard sensitive element of each road analysis grid is aggregated and mapped to the road analysis grid to establish a corresponding relationship between each road analysis grid and the corresponding road hazard sensitive element.

[0060] Compared with the related art, the embodiment of the present application provides a method for factorizing the characteristics of road hazard sensitive elements based on numerical mapping. The method obtains road network data containing a plurality of road analysis grids by grid splitting the road network in a preset area; performs road collapse hazard mechanism analysis on the roads in the preset area to obtain road hazard sensitive elements and characteristic factors; constructs an element attribute-factor knowledge graph based on the attribute information and characteristic factors of the road hazard sensitive elements; establishes a correspondence between each road analysis grid and the corresponding road hazard sensitive element based on the spatial position information and road network data of the road hazard sensitive elements; takes the road analysis grid as a unit, assigns the characteristic factors according to the preset quantization rules based on the element attribute-factor knowledge graph and the corresponding relationship, and maps the assigned characteristic factors to the corresponding road analysis grid, realizes the refinement of the assessment of the road collapse risk by dividing the road network into road analysis grids, and quantitatively assigns the characteristic factors based on the road hazard sensitive elements and the corresponding characteristic factors, as well as the road analysis grids, and maps them to the corresponding road analysis grids, so as to intuitively reflect the influence of the sensitive elements on the road collapse by quantitative description, and solves the problem of how to quantitatively assess the susceptibility of road collapse. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0062] Figure 1 is a flowchart of the steps of the method for factorizing characteristics of sensitive elements of road hazards according to an embodiment of the present application;

[0063] Figure 2 is a partial schematic diagram of a knowledge graph according to an embodiment of the present application;

[0064] Figure 3 It is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0066] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0067] 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 of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0068] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantity limitation, and may indicate the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0069] The present application embodiment provides a method for factorizing characteristics of road hazard sensitive elements based on numerical mapping. Figure 1 is a flowchart of the steps of the method for factorizing the characteristics of sensitive elements of road hazards according to an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0070] Step S102, gridding the road network in the preset area to obtain road network data including a plurality of road analysis grids;

[0071] In some preferred embodiments, in step S102, the DLG data and the geographic framework data are used to produce road network data including a plurality of road analysis grids, and the specific steps are as follows:

[0072] S21. The existing road network data is extracted through the existing geographic framework data, and the road classification is performed to divide the data of main roads, secondary roads and branch roads, and the road network is classified. Since the section analyzed for road collapse does not include non-ground roads such as elevated roads and bridges, this part of the data is eliminated.

[0073] S22. The road sections are interrupted and split according to different classifications to form section-wise road center lines, intersection points, and road network surfaces, and the road sections and intersection points are named.

[0074] S23. Based on the road network data constructed based on road network geometry, the road network is divided into analysis grids, the road direction is calculated based on the GIS spatial analysis algorithm, and an automated tool for road network segmentation is designed. The road network is segmented into 50m units perpendicular to the road centerline, and the road surface is divided into analysis grids of reasonable size.

[0075] S24. Coding and addressing of road analysis grids. The coding method for road analysis grid coding is AAAAAAAAAAAA_BB_CCC, where A represents the community administrative division code, B represents the data type abbreviation, and C represents the grid custom number. The custom number is unique within the same area. The road address is assigned to the corresponding grid. For grids with the same address, the section number is added after the address to distinguish grids with the same section name. The serial number is numbered from west to east and from north to south.

[0076] Step S104, analyzing the mechanism of road collapse hazards on roads in a preset area to obtain sensitive elements and characteristic factors of road hazards;

[0077] Specifically, step S104 performs a road collapse hazard mechanism analysis on roads in a preset area to obtain road hazard sensitive elements and characteristic factors, wherein the road hazard sensitive elements include geological elements, pipeline elements, underground municipal facilities elements, engineering construction pit elements and road scanning and detection elements.

[0078] In some preferred embodiments, the characteristic factors in step S104 are constructed by extracting the characteristics of road hidden danger sensitive elements, and the specific steps are as follows:

[0079] S41. Based on the analysis of the mechanism of road collapse hazards, the road sensitive elements are determined, and the unique features that may affect the road collapse hazards are extracted from the full amount of information of the road sensitive elements.

[0080] S42. Construct corresponding characteristic factors for the extracted characteristics of various sensitive elements, where the characteristic factors include the thickness of the silty soil layer, the thickness of the miscellaneous fill soil layer, the soil layer structure, the age of pipeline laying, the designed service life of the pipeline, the service life status of the pipeline, the length of the pipeline, the density of the pipeline, the average buried depth of the pipeline, the pipe material of the pipeline, the diameter of the pipeline, the connection method of the pipeline, the pressure of the gas pipeline, the excavation method of underground municipal facilities, the excavation depth of underground municipal facilities, the support plan of underground municipal facilities, the area of ​​underground municipal facilities, the length of the underground tunnel, the highest elevation of the main body of the underground municipal facilities, the deepest elevation of the main body of the underground municipal facilities, the construction status of the engineering construction pit, the excavation depth of the engineering construction pit, the support method of the engineering construction pit, the disposal measures for the diseased body, the bottom depth of the diseased body, the top depth of the diseased body, the type of diseased body, the area of ​​the diseased body, and the time for eliminating the diseased body.

[0081] Step S106, constructing an element attribute-factor knowledge graph based on the attribute information and characteristic factors of the road hazard sensitive elements;

[0082] Figure 2 is a partial schematic diagram of a knowledge graph according to an embodiment of the present application, such as Figure 2 As shown, step S106 specifically includes the following steps:

[0083] Step S1061, based on the attribute information of the road hidden danger sensitive element, determining the first characteristic factor having a first correlation relationship with the geological element, wherein the first characteristic factor includes the thickness of the silty soil layer, the thickness of the miscellaneous fill soil layer and the soil layer structure;

[0084] Step S1062, based on the attribute information of the road hidden danger sensitive element, determine the second characteristic factor having a second correlation relationship with the pipeline element, wherein the second characteristic factor includes the pipeline laying year, the pipeline design service life, the pipeline service life status, the pipeline length, the pipeline density, the average pipeline burial depth, the pipeline pipe material, the pipeline diameter, the pipeline connection method and the gas pipeline pressure;

[0085] Step S1063, based on the attribute information of the road hidden danger sensitive element, determine the third characteristic factor having a third correlation relationship with the underground municipal facility element, wherein the third characteristic factor includes excavation method, excavation depth, support scheme, area, length of underground tunnel, elevation of the highest point of the main body and elevation of the deepest point of the main body;

[0086] Step S1064, based on the attribute information of the road hidden danger sensitive element, determining a fourth characteristic factor having a fourth correlation relationship with the engineering construction foundation pit element, wherein the fourth characteristic factor includes construction status, excavation depth and support method;

[0087] Step S1065, based on the attribute information of the road hidden danger sensitive element, determine the fifth characteristic factor having a fifth correlation relationship with the road scanning detection element, wherein the fifth characteristic factor includes treatment measures, bottom depth of the diseased body, top depth of the diseased body, type of the diseased body, area of ​​the diseased body and elimination time;

[0088] Step S1066, constructing a feature attribute-factor knowledge graph based on the first association relationship, the second association relationship, the third association relationship, the fourth association relationship and the fifth association relationship.

[0089] It should be noted that the mutual influence among different road hazard sensitive elements is comprehensively considered, the correlation between the attribute information of road hazard sensitive elements and various characteristic factors is determined, and the element attribute-factor knowledge graph is formed; based on this correlation, the attribute information of road hazard sensitive elements is coded and mapped, and the coding rules follow the principles of simplicity, uniqueness and readability.

[0090] Step S108, establishing a correspondence between each road analysis grid and the corresponding road hazard sensitive element based on the spatial location information of the road hazard sensitive element and the road network data;

[0091] Step S108 specifically includes the following steps:

[0092] Step S1081, based on the position of each road analysis grid in the road network in the road network data, determining the outer transition zone of each road analysis grid;

[0093] Step S1082, based on the spatial position information of the road hazard sensitive elements, determining the first road hazard sensitive elements of each road analysis grid and the second road hazard sensitive elements of the peripheral transition zone;

[0094] Step S1083, respectively aggregate the attribute information in the first road hazard sensitive element and the second road hazard sensitive element of each road analysis grid, and map them to the road analysis grid to establish a corresponding relationship between each road analysis grid and the corresponding road hazard sensitive element.

[0095] It should be noted that, for the road hazard sensitive elements within each road analysis grid, the multiple attribute information of the same road hazard sensitive elements are aggregated and mapped to the road analysis grid, and at the same time, for the peripheral transition zone (such as green belts, sidewalks, etc.) of each road analysis grid, the attribute information of the road hazard sensitive elements in the peripheral transition zone is aggregated and mapped to the corresponding road analysis grid. It can be seen that in steps S1081 to S1083, the spatial position information and attribute information of the road hazard sensitive elements are separated and utilized. After the positioning and mapping based on the spatial position information is completed, the attribute information of the road collapse sensitive elements is directly mapped to the road grid analysis unit, which reduces the transmission of unnecessary information and reduces the spatial computing pressure of the road collapse hazard assessment and analysis.

[0096] Step S110, taking the road analysis grid as a unit, based on the feature attribute-factor knowledge graph and the corresponding relationship, the characteristic factors are assigned values ​​according to the preset quantization rules, and the assigned characteristic factors are mapped to the corresponding road analysis grid.

[0097] Step S110 specifically includes the following steps:

[0098] Step S1101, taking the road analysis grid as a unit, based on the feature attribute-factor knowledge graph and the corresponding relationship, and according to the preset quantization rules, the first characteristic factor, the second characteristic factor, the third characteristic factor, the fourth characteristic factor and the fifth characteristic factor are assigned values ​​respectively.

[0099] Step S1102, mapping the characteristic factors after the assignment process to the corresponding road analysis grid.

[0100] It should be noted that for the road hazard sensitive elements within the road analysis grid and the road hazard sensitive elements in the outer transition zone, the road analysis grid is taken as the smallest unit, and the attribute information corresponding to the characteristic factors is pre-calculated and assigned based on the preset quantification rules through quantitative standards, and then aggregated to the road analysis grid through the unique corresponding numerical result mapping.

[0101] In some preferred embodiments, step S1101, assigning a value to the first characteristic factor according to a preset quantization rule includes:

[0102] pass The thickness of the silty soil layer is assigned a value, where: is the maximum elevation of silty soil, is the minimum elevation of silty soil;

[0103] pass The thickness of the miscellaneous fill soil layer is assigned a value, where: is the maximum elevation of the miscellaneous fill, is the minimum elevation of miscellaneous fill;

[0104] pass The soil layer structure is assigned a value, where: It means that the geological elements are deduplicated and merged according to the soil layer categories.

[0105] In some preferred embodiments, step S1101, assigning a value to the second characteristic factor according to a preset quantization rule includes:

[0106] pass Assign values ​​to the pipeline laying years, where: It is the maximum value of the laying age of all pipelines under the road section;

[0107] pass Assign a value to the design service life of the pipeline, where: Indicates that the design service life of the pipeline is calculated based on the maximum value of the pipeline laying years;

[0108] pass Assign values ​​to the service life of the pipeline, where: is the maximum laying age of each pipeline type, The design service life of each pipeline type;

[0109] pass Assign values ​​to the length of each type of pipeline, where: is the corresponding pipeline length of the i-th pipeline;

[0110] pass The pipeline density is assigned a value, where: is the area of ​​the road analysis grid, The total length of pipelines under each pipeline type in the road analysis grid;

[0111] pass The average buried depth of the pipeline is assigned a value, where: is the buried depth of the starting point of the pipeline, The buried depth of the pipeline terminal;

[0112] pass Assign values ​​to pipeline pipes, where: Indicates that the pipeline materials of each pipeline are classified and summarized;

[0113] pass Assign values ​​to the pipeline diameter, where: Indicates that the diameter of each pipeline takes the minimum value;

[0114] pass Assign values ​​to the pipeline connection mode, where: It means to remove duplicates and combine the connection modes of each pipeline;

[0115] pass Assign value to the gas pipeline pressure, where: Indicates that the pressure of the gas pipeline is taken to the maximum value.

[0116] In some preferred embodiments, step S1101, assigning a value to the third characteristic factor according to a preset quantization rule includes:

[0117] pass The excavation method is assigned a value, where: It indicates the summary of excavation methods used in the construction of underground municipal facilities within a certain buffer zone;

[0118] pass The excavation depth is assigned a value, where: It indicates summarizing the excavation depth of underground municipal facilities during construction within a certain buffer zone;

[0119] pass The support scheme is assigned a value, where: It means summarizing the support plans for the construction of underground municipal facilities within a certain buffer zone;

[0120] pass The area is assigned a value, where It means summarizing the area occupied by underground municipal facilities within a certain buffer zone;

[0121] pass The length of the underground tunnel is assigned a value, where: It means summarizing the lengths of underground tunnels within a certain buffer zone;

[0122] pass Assign a value to the highest elevation of the main body, where: It means summarizing the top elevations of the main highest points of underground municipal facilities within a certain buffer zone;

[0123] pass Assign a value to the deepest elevation of the main body, where: It means summarizing the deepest bottom elevations of underground municipal facilities within a certain buffer zone.

[0124] In some preferred embodiments, step S1101, assigning a value to the fourth characteristic factor according to a preset quantization rule includes:

[0125] pass Assign values ​​to the construction status, where: It means summarizing the construction status of each foundation pit project within a certain buffer zone;

[0126] pass The excavation depth is assigned a value, where: It means summarizing the excavation depth of each foundation pit project within a certain buffer zone;

[0127] pass Assign values ​​to the support methods, where: It means summarizing the support methods of various foundation pit projects within a certain buffer zone.

[0128] In some preferred embodiments, step S1101, assigning a value to the fifth characteristic factor according to a preset quantization rule includes:

[0129] pass Assign values ​​to the disposal measures, where: dis i The treatment measures for the i-th diseased object detected by road scanning;

[0130] pass The bottom depth of the diseased body is assigned a value, where: The bottom depth of each diseased body detected by road scanning;

[0131] pass The top depth of the diseased body is assigned a value, where: The top depth of each diseased body detected by road scanning;

[0132] pass Assign values ​​to the disease body type, where: Indicates the most dangerous type of diseased objects detected by road scanning;

[0133] pass The area of ​​the diseased body is assigned a value, where: The area of ​​the most dangerous type of damage detected by the road scan;

[0134] pass The elimination time is assigned a value, where: It is the elimination time of each disease body detected by road scanning.

[0135] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0136] Through the above application embodiments, ① the research object of urban road collapse is refined into road grids, focusing on the smallest unit of road collapse risk analysis to improve the accuracy of analysis and evaluation; ② based on the separation of spatial element geometry and attribute information, the attribute information of road collapse sensitive elements is directly mapped to the road grid analysis unit, reducing the transmission of unnecessary information and reducing the spatial calculation pressure of road collapse hazard assessment and analysis; ③ for element data with confidentiality requirements such as urban pipelines, it is directly mapped to the characteristic factors of the road grid in numerical form, without revealing the location information and full attribute information of the real data itself, and the quantitative description in numerical form intuitively reflects the degree of influence of sensitive elements on road collapse.

[0137] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0138] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0139] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0140] In addition, in combination with the method for factorizing road hazard sensitive element characteristics based on numerical mapping in the above embodiments, the present application embodiment can provide a storage medium for implementation. The storage medium stores a computer program; when the computer program is executed by a processor, any one of the method for factorizing road hazard sensitive element characteristics based on numerical mapping in the above embodiments is implemented.

[0141] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for factorizing characteristics of sensitive elements of road hazards based on numerical mapping is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball, or touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0142] In one embodiment, Figure 3 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application, such as Figure 3 As shown, an electronic device is provided, which may be a server, and its internal structure diagram may be as shown in Figure 3 As shown. The electronic device includes a processor, a network interface, an internal memory and a non-volatile memory connected through an internal bus, wherein the non-volatile memory stores an operating system, a computer program and a database. The processor is used to provide computing and control capabilities, the network interface is used to communicate with an external terminal through a network connection, the internal memory is used to provide an environment for the operation of the operating system and the computer program, the computer program is executed by the processor to implement a method for factorizing road hazard sensitive elements based on numerical mapping, and the database is used to store data.

[0143] Those skilled in the art will understand that Figure 3 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0144] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0145] Those skilled in the art should understand that the various technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the various technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0146] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for factorizing characteristics of sensitive elements of road hazards based on numerical mapping, characterized in that: The method comprises: Grid-splitting the road network in the preset area to obtain road network data containing a number of road analysis grids; Analyze the mechanism of road collapse hazards on the roads in the preset area to obtain sensitive factors and characteristic factors of road hazards, wherein the sensitive factors of road hazards include geological factors, pipeline factors, underground municipal facilities factors, engineering construction pit factors and road scanning and detection factors; Based on the attribute information of the road hidden danger sensitive element, a first characteristic factor having a first correlation with the geological element is determined; based on the attribute information of the road hidden danger sensitive element, a second characteristic factor having a second correlation with the pipeline element is determined; based on the attribute information of the road hidden danger sensitive element, a third characteristic factor having a third correlation with the underground municipal facility element is determined; based on the attribute information of the road hidden danger sensitive element, a fourth characteristic factor having a fourth correlation with the engineering construction foundation pit element is determined; based on the attribute information of the road hidden danger sensitive element, a fifth characteristic factor having a fifth correlation with the road scanning detection element is determined; Based on the first association relationship, the second association relationship, the third association relationship, the fourth association relationship and the fifth association relationship, construct an element attribute-factor knowledge graph; Based on the spatial location information of the road hidden danger sensitive elements and the road network data, a corresponding relationship between each road analysis grid and the corresponding road hidden danger sensitive elements is established; Taking the road analysis grid as a unit, based on the feature attribute-factor knowledge graph and the corresponding relationship, the first characteristic factor, the second characteristic factor, the third characteristic factor, the fourth characteristic factor and the fifth characteristic factor are assigned values ​​respectively according to the preset quantization rules, and the characteristic factors after the assignment are mapped to the corresponding road analysis grid.

2. The method according to claim 1, characterized in that The first characteristic factor includes the thickness of the silty soil layer, the thickness of the miscellaneous fill soil layer and the soil layer structure; the second characteristic factor includes the age of pipeline laying, the designed service life of the pipeline, the service life status of the pipeline, the length of the pipeline, the density of the pipeline, the average burial depth of the pipeline, the pipeline material, the pipeline diameter, the pipeline connection method and the gas pipeline pressure; the third characteristic factor includes the excavation method, the excavation depth, the support plan, the area, the length of the underground tunnel, the highest elevation of the main body and the deepest elevation of the main body; the fourth characteristic factor includes the construction status, the excavation depth and the support method; the fifth characteristic factor includes the disposal measures, the bottom depth of the diseased body, the top depth of the diseased body, the type of diseased body, the area of ​​the diseased body and the elimination time.

3. The method according to claim 2, characterized in that Assigning a value to the first characteristic factor according to a preset quantization rule includes: pass The thickness of the muddy soil layer is assigned a value, where max(elevation 淤泥质 ) is the maximum elevation of silty soil, min(elevation 淤泥质 ) is the minimum elevation of silty soil; pass The thickness of the miscellaneous fill soil layer is assigned a value, wherein max(elevation 杂填土 ) is the maximum elevation of the miscellaneous fill, min(elevation 杂填土 ) is the minimum elevation of the miscellaneous fill; pass The soil layer structure is assigned a value, wherein: It means that the geological elements are deduplicated and merged according to the soil layer categories.

4. The method according to claim 2, characterized in that: The process of assigning a value to the second characteristic factor according to a preset quantization rule includes: pass The laying years of pipelines of various types are assigned values, among which, It is the maximum laying age of all pipelines under the road section; pass The designed service life of the pipeline is assigned a value, wherein: Indicates that the design service life of the pipeline is calculated based on the maximum value of the pipeline laying years; pass The service life status of the pipeline is assigned a value, wherein: PS 管种 is the maximum laying age of each pipeline type, SJ 管种 The design service life of each pipeline type; pass The pipeline length of each type of pipe is assigned a value, where: l i is the corresponding pipeline length of the i-th pipeline; pass The pipeline density is assigned a value, wherein: S i is the area of ​​the road analysis grid, L 管种 The total length of pipelines under each pipeline type in the road analysis grid; pass The average buried depth of the pipeline is assigned a value, wherein: d 起点 is the buried depth of the starting point of the pipeline, d 终点 The buried depth of the pipeline terminal; pass The pipeline pipe is assigned a value, wherein: Indicates that the pipeline materials of each pipeline are classified and summarized; pass The pipeline diameter is assigned a value, wherein min{gj i ~gj j } indicates that the diameter of each pipeline takes the minimum value; pass The pipeline connection mode is assigned a value, wherein: It means to remove duplicates and combine the connection modes of each pipeline; pass The gas pipeline pressure is assigned a value, wherein max{Pressure i ~Pressure j } means taking the maximum value for the gas pipeline pressure.

5. The method according to claim 2, characterized in that: The third characteristic factor is assigned a value according to a preset quantization rule, including: pass The excavation method is assigned a value, wherein: It indicates the summary of excavation methods used in the construction of underground municipal facilities within a certain buffer zone; pass The excavation depth is assigned a value, wherein: It indicates summarizing the excavation depth of underground municipal facilities during construction within a certain buffer zone; pass The support scheme is assigned a value, wherein: It means summarizing the support plans for the construction of underground municipal facilities within a certain buffer zone; pass The area is assigned a value, wherein: It means summarizing the area occupied by underground municipal facilities within a certain buffer zone; pass The length of the underground tunnel is assigned a value, wherein: It means summarizing the lengths of underground tunnels within a certain buffer zone; pass The highest elevation of the main body is assigned a value, wherein: It means summarizing the top elevations of the main highest points of underground municipal facilities within a certain buffer zone; pass The deepest elevation of the main body is assigned a value, wherein: It means summarizing the deepest bottom elevations of underground municipal facilities within a certain buffer zone.

6. The method according to claim 2, characterized in that The assignment process of the fourth characteristic factor according to the preset quantization rule includes: pass The construction status is assigned a value, wherein: It means summarizing the construction status of each foundation pit project within a certain buffer zone; pass The excavation depth is assigned a value, wherein: It means summarizing the excavation depth of each foundation pit project within a certain buffer zone; pass The support mode is assigned a value, wherein: It means summarizing the support methods of various foundation pit projects within a certain buffer zone.

7. The method according to claim 2, characterized in that Assigning a value to the fifth characteristic factor according to a preset quantization rule includes: pass The disposal measures are assigned values, wherein: The treatment measures for the i-th diseased object detected by road scanning; pass The bottom depth of the diseased body is assigned a value, wherein: The bottom depth of each diseased body detected by road scanning; pass The top depth of the diseased body is assigned a value, wherein: The top depth of each diseased body detected by road scanning; pass The diseased body type is assigned a value, wherein: Indicates the most dangerous type of diseased objects detected by road scanning; pass The area of ​​the diseased body is assigned a value, wherein: The area of ​​the most dangerous type of damage detected by the road scan; pass The elimination time is assigned a value, wherein: It is the elimination time of each disease body detected by road scanning.

8. The method according to claim 1, characterized in that Based on the spatial position information of the road hidden danger sensitive elements and the road network data, establishing the corresponding relationship between each road analysis grid and the corresponding road hidden danger sensitive elements includes: Based on the position of each road analysis grid in the road network in the road network data, the outer transition zone of each road analysis grid is determined; Based on the spatial position information of the road hazard sensitive elements, determining the first road hazard sensitive elements of each road analysis grid and the second road hazard sensitive elements of the peripheral transition zone; The attribute information in the first road hazard sensitive element and the second road hazard sensitive element of each road analysis grid is aggregated and mapped to the road analysis grid to establish a corresponding relationship between each road analysis grid and the corresponding road hazard sensitive element.

Images