Landscape Design and Correction Method Combined with Road Condition Change Detection

Abstract

The present invention provides a garden design and correction method combined with road condition change detection. Users only need to input the parameter values of each singularity point in the road to be designed and corrected, and the system can automatically mark the same partition, correction partition, and the area that needs to be manually corrected for each road segment in the road. For the marked same partition and correction partition, the system will automatically match a suitable garden greening design or correction plan with an entity model according to the state of the road to be designed and corrected. For the marked area that needs to be manually corrected, the system will prompt the user to perform manual garden plan design or correction on the corresponding road segment. Then, the road after the design or correction is completed is added to the road library to increase the amount of road library data with entity models and improve the pertinence and accuracy of automatically generating garden design plans for other roads to be designed and corrected subsequently.

Description

Technical Field

[0001] The present invention relates to the technical field of road landscape design, and particularly relates to a landscape design and correction method combined with road condition change detection. Background Art

[0002] Most of the existing road landscapes adopt a rough manual design method. After the road construction is completed, the road greening plan suitable for the road type or the road side space type is determined through on-site manual investigation. However, there are many types of roads, such as four-lane two-way roads, two-lane two-way roads, bridges, tunnels, etc. Different road greening plans are usually adopted. Similarly, there are also various types of road side space types. For example, when the road type is an elevated road in the city, the road side space type is mostly buildings such as high-rise buildings, while when it is an elevated road in the suburbs, the road side space type may be open areas such as farmland and rivers. The greening plans for roads with different road side space types are usually also different. When different combinations of road types and road side space types are formed, the road greening plans are even more diverse.

[0003] The road type and the road side space type are the main factors affecting the road greening plan. Due to the diversity of road types and the large number of road side space types, at present, for the design of road greening plans, a manual design method after on-site manual investigation is basically adopted. This method has the lag of greening plan design and needs to wait until the road construction is basically completed before entering the design stage. In addition, with the acceleration of urban construction, some road sections in the whole road may need to be modified during construction, such as changing the road type, such as changing from two lanes to four lanes, or changing some sections or several sections of the road from ground roads to elevated roads, bridges, underground tunnels, etc. At this time, it may be necessary to adjust the greening plans for these road sections or other road sections adjacent to these road sections. The existing method also adopts the method of manually adjusting the greening plan after on-site manual investigation and cannot automatically issue a correction plan based on the original greening plan of the whole road.

[0004] In addition, and most importantly, the existing greening plans designed or corrected manually through on-site investigation do not have physical samples. The greening plan designed in the software after on-site investigation is only presented on the screen, and the final greening effect can only be seen after the greening planting is completed on-site according to this plan. The purchaser cannot see the physical sample identical or similar to this greening plan in the real environment before the greening construction. Summary of the Invention

[0005] The present invention aims to provide a garden design and correction method combined with road condition change detection, which can automatically output a road greening plan with physical samples for a newly built road or a planned road section without on-site exploration, only by inputting the parameters of road singularities, reducing the lag in the design and correction of greening plans and improving the degree of automation of design and correction.

[0006] To achieve this purpose, the present invention adopts the following technical solutions:

[0007] Provide a garden design and correction method combined with road condition change detection, including the steps:

[0008] L1, after inputting or completing the detection of road condition changes, input the singularity parameters of the road to be designed and corrected, including the coordinates of the mutation points of road type mutations and / or the coordinates of the change points of road side space types. Among them, the mutation points are bound with the first road type and the second road type that have road type mutations, and the change points are bound with the first road side space type and the second road side space type that have road side space type changes. The first road side space type and the second road side space type are associated with the same or different road types;

[0009] L2, taking the singularity parameters as matching conditions, match the designed and corrected roads similar to the road to be designed and corrected from the road library with physical templates or those that have completed dynamic updates of greening plans and have physical templates, and add them to the set of reference roads;

[0010] L3, according to the set of reference roads, perform zonal marking processing on the road to be designed and corrected;

[0011] L4, for the road sections in the road to be designed and corrected with the same zonal and / or corrected zonal markings, assign the garden design or correction plan of the zoned area bound by the same zonal marking and / or the corrected zonal marking; and prompt the user to manually correct the garden plan for the road sections marked as manually corrected in the road to be designed and corrected, and then add the road to be designed and corrected with the completed greening plan design or correction to the road library.

[0012] Preferably, in step L2, the method for matching the set of reference roads for the road to be designed and corrected includes the steps:

[0013] A1, for each first singularity in the road to be designed and corrected, perform parameter value similarity matching with each second singularity in the same designed and corrected road, and extract the second singularity with a similarity greater than the similarity threshold and the maximum similarity, and make a point association with the first singularity as the matching object;

[0014] A2. Determine whether the difference between the first quantity of the first singular points in the to-be-designed and corrected road and the second quantity of the second singular points associated with the points in the designed and corrected road for implementing step A1 is greater than a preset difference threshold, and whether the ratio of the second quantity to the third quantity of the second singular points in the designed and corrected road is greater than a preset ratio threshold.

[0015] If so, determine that the designed and corrected road and the to-be-designed and corrected road are similar.

[0016] If not, determine that the designed and corrected road and the to-be-designed and corrected road are not similar.

[0017] Preferably, the first singular points and the second singular points include the mutation points and / or the change points.

[0018] Preferably, the method for dynamically updating the greening plan for the designed and corrected road includes the steps:

[0019] C1. Input the coordinates of the road section to be built in the designed and corrected road.

[0020] C2. The system extracts each singular point covered by the road section according to the input coordinates of the road section to be built.

[0021] C3. Update the singular point parameters of each of the extracted singular points according to the road type and / or the road-side space type of the road section to be built.

[0022] C4. In the set of reference roads associated with the designed and corrected road to be built, match the sub-region correction reference road that has the maximum sorting order similarity and the maximum singular point parameter value similarity with each of the singular points updated in step C3.

[0023] C5. Construct the corresponding third point set for the two singular points forming the road section to be built, then match the fourth point set with the maximum singular point parameter value similarity with the third point set from the sub-region correction reference road matched in step C4, and screen out each of the third point sets that do not match the fourth point set and add them to the set of artificial correction points associated with the designed and corrected road to be built.

[0024] C6. For the road section associated with the third point set that matches the fourth point set, correct it with the garden design or correction method bound to the corresponding sub-region where the fourth point set is located, and prompt for artificial garden plan correction for the road section associated with each of the third point sets in the set of artificial correction points.

[0025] Preferably, in step L3, the method for partitioning the road to be designed and corrected includes the following steps:

[0026] B1. From the set of reference roads, further match the quasi-reference designed and corrected roads that have the highest sorting order similarity with each first singular point in the road to be designed and corrected;

[0027] B2. Extract the singular point sequence composed of each second singular point with partitioning direct assignment ability from the quasi-reference designed and corrected roads, and filter out each first singular point in each first singular point formed in the road to be designed and corrected that has a similar point position correlation relationship with each second singular point in the singular point sequence. The remaining filtered first singular points are used as the basis points for differential partitioning correction;

[0028] B3. Correct each differential partition between each basis point and its adjacent first singular point, and make the same partition mark for the already partitioned areas between adjacent second singular points in the singular point sequence and the quasi-partitioned areas between the same adjacent first singular points that have a similar point position relationship with the two adjacent second singular points, and mark the corrected area that has been corrected as a corrected partition.

[0029] Preferably, in step B2, the singular point sequence with partitioning direct assignment ability is: a sequence composed of each second singular point that is continuously arranged in the quasi-reference designed and corrected road and has made a point position association with the corresponding first singular point in the road to be designed and corrected; the second singular point has made a point position association with the first singular point means: in the road to be designed and corrected, there is a first singular point that has the highest similarity of singular point parameter values with the second singular point, and binding the first singular point and the corresponding second singular point with a similar point position relationship completes the association of the two point positions.

[0030] Preferably, in step B3, the method for correcting each differential partition between each basis point and its adjacent first singular point includes the following steps:

[0031] B31. Match the partition correction reference road with the highest similarity with the quasi-reference designed and corrected road from the set of reference roads;

[0032] B32. Obtain the first singular point adjacent to each basis point, and the two point positions form a corresponding first point set. Then, taking each first point set as a unit, match the second point set with the highest similarity of singular point parameter values with the first point set from the partition correction reference road, and screen out each first point set that has not matched the second point set and add it to the artificial correction point set;

[0033] B33. Make a correction zoning mark for the corrected area associated with the first point set by correcting the landscape design or correction plan carried by the divided area bound by the second point set that has the highest similarity in singular point parameter values with the first point set; and make a greening plan manual correction mark for the road area covered between the two first singular points in each first point set in the manual correction point set.

[0034] Preferably, the method for matching the zoning correction reference road includes the steps of:

[0035] B311. Obtain the first elevation data bound to each second singular point in each designed and corrected road in the set of reference roads, including the first elevation difference between the first divided area and the second divided area adjacent to the second singular point in the same designed and corrected road, and then perform a dimension elevation operation on each second singular point in the same designed and corrected road and connect adjacent points directly to obtain the first elevation fitting curve of each designed and corrected road in three-dimensional space;

[0036] And obtain the second elevation data bound to each second singular point in the designed and corrected road to be referred, including the second elevation difference between the first divided area and the second divided area adjacent to the second singular point in the same designed and corrected road to be referred, and then perform a dimension elevation operation on each second singular point in the same designed and corrected road to be referred and connect adjacent points directly to obtain the second elevation fitting curve of the designed and corrected road to be referred in three-dimensional space;

[0037] B312. Match the designed and corrected road corresponding to the first elevation fitting curve that has the highest curve similarity with the second elevation fitting curve from each of the first elevation fitting curves as the zoning correction reference road.

[0038] Preferably, the first elevation difference is: the first spatial distance in the vertical direction between the first point with the highest elevation associated with the singular point in the first divided area or the first proposed divided area in the same road and the singular point, and the difference between the second spatial distance in the vertical direction between the second point with the highest elevation associated with the singular point in the second divided area or the second proposed divided area adjacent to the first divided area or the first proposed divided area and the singular point.

[0039] The present invention has the following beneficial effects:

[0040] 1. Based on the two main factors of the road type and / or the road-side space type that affect the design or correction of the road greening plan, by setting singular points on the road, it becomes possible for the system to automatically realize the design and correction of the road greening plan.

[0041] 2. Add the designed and corrected roads with road greening entity samples to the road library, and use the singularity point parameters as the matching conditions to match the designed and corrected roads similar to the road to be designed and corrected from the road library and add them to the set of reference roads. The designed and corrected roads added to the road library incorporate the artificial road greening correction plans, and these artificial road greening correction plans are bound to the singularity points associated with the corrected road segments, which is conducive to the system's accurate matching of the data of the set of reference roads applicable to the road to be designed and corrected from the road library according to the singularity point parameters, and further conducive to improving the pertinence and accuracy of the road greening plan design and correction for the road to be designed and corrected.

[0042] 3. By setting the singularity point parameters, it is possible to quickly match the set of reference roads applicable to the road to be designed and corrected from among many designed and corrected roads with entity samples. The user only needs to input the singularity point parameters of each singularity point in the road to be designed and corrected, and the operation is very simple, laying a foundation for the system to subsequently give the road greening design or correction plan for the road to be designed and corrected automatically, quickly, and pertinently.

[0043] 4. The first singularity points with point position association relationships form a first sequence, the second singularity points with point position association relationships form a second sequence, and the actual sorting order of each second singularity point in the second sequence along the road length direction in the designed and corrected road to which it belongs forms a third sequence. By calculating the consistency of the sorting orders of the second singularity points in the second sequence and the third sequence, a simple method is used to quickly and accurately match the designed and corrected road to be used as a reference applicable to the road to be designed and corrected from the set of reference roads.

[0044] 5. Through the zoning marking process of the road to be designed and corrected in step L3, based on the marking information of the divided areas, it is possible to quickly find the divided areas with the same zoning relationship as the areas to be divided in the road to be designed and corrected and the corrected areas with a zoning correction relationship in each designed and corrected road, which is conducive to improving the speed and accuracy of the road greening design and correction for the areas to be divided.

[0045] 6. In step B31, the elevation data is used as one of the data bases for curve similarity matching, taking into account the influence of elevation data on the road greening design of different road types and different road side space types under the elevation space conditions in the actual situation. Therefore, when using the corrected areas in the partition correction reference road to correct the road greening of the corrected areas in the road to be designed and corrected, it has higher pertinence.

[0046] 7. Through step L3, after performing the same zoning, modified zoning, and manual modification marking on each road segment in each road to be designed and modified based on the proposed reference roads that have been designed and modified identified from the referenceable road set, the direct assignment, modified assignment, or manual assignment of the landscape design or modification plan for each road segment is achieved. The direct and modified assignment methods are fully automated assignments, and the landscape design or modification plans assigned all have physical templates, realizing the rapid and fully automated issuance of the landscape design or modification plan with physical templates for the roads to be designed and modified. The manual assignment method increases the diversity of the landscape design or modification plans of the roads that have been designed and modified in the road library, and can reversely improve the pertinence of issuing the landscape design plans for other roads to be designed and modified subsequently.

[0047] 8. The user only needs to input the parameter values of the singular points in the road to be designed and modified, and the system can fully automatically mark the same zoning, modified zoning, and the areas that need manual modification for each road segment in this road. For the marked same zoning and modified zoning, the system will fully automatically match a suitable landscape greening design or modification plan according to the status of the road to be designed and modified. For the marked areas that need manual modification, the system will prompt the user to perform manual landscape plan design or modification on the corresponding road segments. Then, the road after the design or modification is completed is added to the road library to increase the physical templates and improve the pertinence and accuracy of automatically issuing the landscape design plans for other roads to be designed and modified subsequently. Description of the Drawings

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0049] Figure 1 It is the implementation step diagram of a landscape design and modification method combined with road condition change detection provided by the embodiment of the present invention;

[0050] Figure 2 It is the example diagram of the singular points of the road under a specific road type and a specific road side space type;

[0051] Figure 3 It is the example illustration diagram of the similarity matching between the road to be designed and modified and the road that has been designed and modified. Detailed Embodiments

[0052] The technical solutions of the present invention will be further described below in conjunction with the drawings and through specific embodiments.

[0053] Among them, the attached drawings are only for illustrative purposes, showing only schematic diagrams rather than physical drawings, and should not be construed as a limitation on this patent; for better illustrating the embodiments of the present invention, some components in the attached drawings will be omitted, enlarged or reduced, which does not represent the size of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the attached drawings may be omitted.

[0054] In the attached drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if terms such as "upper", "lower", "left", "right", "inner", "outer", etc. indicate the orientation or positional relationship, it is based on the orientation or positional relationship shown in the attached drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the attached drawings are only for illustrative purposes and should not be construed as a limitation on this patent. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0055] In the description of the present invention, unless otherwise clearly specified and limited, if terms such as "connection" are used to indicate the connection relationship between components, this term should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] The landscape design and correction method combined with road condition change detection provided by the embodiments of the present invention, as Figure 1 shown, includes the steps:

[0057] L1, after inputting or completing the road condition change detection, input the singularity parameters of the road to be designed and corrected, including the coordinates of the mutation points of the road type mutation and / or the coordinates of the change points of the road side space type. Among them, the mutation points are bound with the first road type and the second road type where the road type mutation occurs, and the change points are bound with the first road side space type and the second road side space type where the road side space type changes. The first road side space type and the second road side space type are associated with the same or different road types;

[0058] For example, assume Figure 3 that the road to be designed and corrected shown in Figure a is a newly built or proposed newly built road, then in step L1, input the singularity parameters of each singularity point of this newly built road. Assume that this road is a proposed road to be built, for example Figure 3The road between the singular points a5 and a6 in Figure a is a road section that has been completed or is planned to be built. After construction, if the road type or the road-side space type of this section changes compared to the adjacent sections, then in step L1, the singular point parameters of singular points a5 and / or a6 are input (if the road type and / or the road-side space type between singular points a5 and a6 change compared to the road type and / or the road-side space type between singular points a4 and a5, then the singular point parameters of singular point a5 are input).

[0059] Singular points include mutation points that characterize the sudden change of road type and / or change points that characterize the change of road-side space type. As Figure 2 shown, road section 100 is a two-way four-lane road, and road section 200 is a two-way two-lane road. From road section 100 to road section 200, there is a sudden change in road type from a two-way four-lane road to a two-way two-lane road. Suppose the width of the rectangular area of the road type mutation is set to 30 meters, and the length is the width of the lane. For example, for the width of a two-way four-lane road as an example, the area outlined by this rectangle is the road type mutation area (as Figure 2 shown by the reference numeral "300" in the figure). The system randomly selects a point within this mutation area 300 (as Figure 2 shown by the reference numeral "400" in the figure) as the road type mutation point. This mutation point is bound to the first road type (such as Figure 2 the two-way four-lane road shown in the figure) and the second road type (such as Figure 2 the two-way two-lane road shown in the figure) where the road type mutation occurs.

[0060] Similarly, suppose Figure 2 the left side of the road of sub-road section 201 belonging to road section 200 shown in the figure is of B space type, and the right side is of A space type; the space types on both the left and right sides of sub-road section 202 are of B space type. Then, since there is a change in the road-side space type between sub-road section 201 and sub-road section 202, a road-side space type change area can be outlined by the same setting method as the road type mutation rectangular area (as Figure 2 shown by the reference numeral "500" in the figure). The system randomly selects a point within this change area 500 (as Figure 2 shown by the reference numeral "600" in the figure) as the road-side space type change point.

[0061] It should be noted here that there are many existing technical means for detecting road condition changes. For example, through visual recognition algorithms for such as Figure 3Video monitoring is carried out on the road section between the two points of the singular points a5 and a6 shown in the figure. When it is detected that there is a change in the road type or the road-side space type of this road section compared with its adjacent road sections, the singular points a5 and a6 are extracted, and the numerical update of the parameters bound to the singular points a5 and a6 is completed. However, in actual applications, it is very costly and unrealistic to sense the changes in the road type or the road-side space type of the road section through monitoring. For road construction, most of the time, only a certain section or several sections of the road are built with limited costs. Therefore, for the detection of road condition changes, it is preferably to use the manual detection method, that is, manually input the coordinates of the built or planned road section, and then the system extracts each singular point covered by this road section according to the coordinates of this road section, and then updates the parameter data of each extracted singular point according to the road type or the road-side space type to be changed after completion of the construction.

[0062] After step L1, after inputting into the system or inputting the singular point parameters of the road to be designed and corrected after detecting the road condition change, as Figure 1 shown, the garden design and correction method combining the road condition change detection provided in this embodiment enters the steps:

[0063] L2. Taking the singular point parameters as the matching conditions, from the road database with entity templates or the dynamic update of the greening plan completed and having entity templates, match the designed and corrected roads similar to the road to be designed and corrected and add them to the set of reference roads;

[0064] The following specifically describes the method for matching the set of reference roads for the road to be designed and corrected in step L2:

[0065] The specific steps for matching the set of reference roads for the road to be designed and corrected are as follows:

[0066] A1. For each singular point (defined as the first singular point) in the road to be designed and corrected, perform a parameter value similarity match with each second singular point in the same designed and corrected road, and extract the second singular point with a similarity greater than the similarity threshold and the maximum similarity to make a point position association with the first singular point as the matching object;

[0067] For example, Figure 3 the singular points a1 - a7 in figure a are the first singular points. Assume that the road database with entity templates (i.e., the completion of road greening laying) or the dynamic update of the greening plan completed and having entity templates includes several designed and corrected roads. Then, for each first singular point in a1 - a7, perform a parameter value similarity match with each second singular point in each of the several roads. For example, one of the Figure 3If it is expressed in Figure b in , then for each first singular point in a1 - a7, such as the singular point a1, a parameter value similarity matching is performed with each second singular point in b1 - b8 in the designed and corrected road expressed in Figure b.

[0068] For example, if the singular point a1 and the singular point b2 have a singular point parameter value similarity and it is the maximum similarity, then the second singular point b2 and the first singular point a1 are extracted for point position association. It should be noted here that the point position association is constructed on the premise of a one-to-one correspondence between the road to be designed and corrected and the designed and corrected road.

[0069] The method for the singular point parameter value similarity matching is briefly described as follows:

[0070] In this embodiment, the singular points include mutation points and / or change points. When a singular point is both a mutation point and a change point at the same time, the singular point parameter value of this singular point is: the fusion value of the road type mutation value and the road-side space type change value bound to this singular point; when the singular point is a mutation point or a change point, the singular point parameter value of this singular point is: the road type mutation value or the road-side space type change value bound to this singular point. The road type mutation value can be determined by encoding. The road type of "two-way four-lane" can be encoded as "SX4CD", and the road type of "two-way two-lane" can be encoded as "SX2CD". Then, when the road type changes from two-way four-lane to two-way two-lane, it can be expressed in encoding as "SX4CDtoSX2CD". The road-side space type change value can also be implemented in a similar encoding method. The fusion value of the road type mutation value and the road-side space type change value can be fused by direct splicing. For example, the road type mutation value expressed as "SX4CDtoSX2CD" and the road-side space type change value expressed as "XXX" bound to the same singular point are fused into a fusion value expressed as "SX4CDtoSX2CD-XXX". For the similarity matching of two singular points, in this embodiment, an encoding consistency matching method is adopted. For example, for the two fusion values of "SX4CDtoSX2CD-001" and "SX2CDtoSX4CD-002", the similarity threshold can be set to 1. When "SX4CDtoSX2CD" and "SX2CDtoSX4CD" have encoding similarity, the similarity between "SX4CDtoSX2CD" and "SX2CDtoSX4CD" is given as "1", otherwise it is "0". "SX4CDtoSX2CD" and "SX2CDtoSX4CD" only have different change directions from four lanes to two lanes. In this case, the system defaults that the two have similarity, so the similarity value is assigned as "1". However, assuming that "SX4CDtoSX2CD" and "SX6CDtoSX4CD" are used for similarity matching, obviously the lane change types represented by the two are different, so the similarity value of the two is assigned as "0". And "001" and "002" obviously have different road-side space types, so the similarity between "001" and "002" is given as "0". Therefore, the similarity between "SX4CDtoSX2CD-001" and "SX2CDtoSX4CD-002" is 0.5, which does not meet the condition of being greater than or equal to the similarity threshold of "1", and it is determined that the two do not have similarity.

[0071] After completing the point association of singular points for each designed and corrected road in the road library, in step L2, the method of matching the road set to be designed and corrected can be transferred to the following steps:

[0072] A2. Determine whether the difference between the first quantity of the first singular points in the road to be designed and corrected and the second quantity of the second singular points associated with the points in the already designed and corrected road that implement step A1 is less than a preset difference threshold, and whether the ratio of the second quantity to the third quantity of the second singular points in this already designed and corrected road is greater than a preset ratio threshold.

[0073] If so, it is determined that the already designed and corrected road and the road to be designed and corrected are similar.

[0074] If not, it is determined that the already designed and corrected road and the road to be designed and corrected are not similar.

[0075] For example, Figure 3 the number of the first singular points (defined as the first quantity) in the road to be designed and corrected expressed in figure a of [[ ]] is "7", that is, a total of 7 first singular points from a1 to a7; Figure 3 the number of the second singular points (defined as the second quantity) associated with the points in the already designed and corrected road that implement step A1 (that is, having a similarity in singular point parameter values with a certain first singular point among a1 - a7) expressed in figure b of [[ ]] is assumed to be "5". For example, each of the 5 second singular points b2, b3, b4, b6, and b7 is associated with a corresponding first singular point among a1 - a7. Then the difference between the first quantity and the second quantity is 7 - 5 = 2. Assuming the preset difference threshold is "3", the determination condition that the difference between the first quantity and the second quantity is less than the difference threshold is met. Figure 3 Figure b of [[ ]] shows that the second singular points in the already designed and corrected road include b1 - b8, and the number of the second singular points (defined as the third quantity) is "8". Then the ratio of the second quantity to the third quantity is five - eighths. Assuming the ratio threshold is set to "0.5", the determination condition that the ratio of the second quantity to the third quantity is greater than the preset ratio threshold is also met. Therefore, it is determined that Figure 3 the already designed and corrected road expressed in figure b of [[ ]] and the road to be designed and corrected expressed in figure a are similar.

[0076] The method for dynamically updating the greening plan for the already designed and corrected road with an entity model involved in step L2 will be specifically described later. First, the technical content to be executed in step L3 after matching the set of reference roads through step L2 will be described below.

[0077] After matching the set of reference roads through step L2, as [[ ]] Figure 1 shown, the garden design and correction method combined with road condition change detection provided in this embodiment enters the steps:

[0078] L3. According to the set of reference roads matched in step L2, perform a zonal marking process on the road to be designed and corrected, specifically including the steps:

[0079] B1. From the set of reference roads, further match the quasi-reference designed and corrected roads that have the highest sorting order similarity with each first singularity in the road to be designed and corrected.

[0080] For example, assume that the set of reference roads includes the designed and corrected roads , , . Assume that the designed and corrected road is represented by the b diagram in Figure 3 and includes a total of 8 singularities (defined as the second singularities) from b1 to b8. Among them, b2 has a similarity point position association relationship with the first singularity a1 in the road to be designed and corrected represented by the a diagram in Figure 3 . b3 has the same similarity point position association relationship with a2, b4 with a3, b6 with a4, and b7 with a6. Then the system first sorts the first singularities a1, a2, a3, a4, a6 in the direction of the road length to form a sorting sequence expressed as {a1, a2, a3, a4, a6}. According to the point position association relationship, b2, b3, b4, b6, and b7 are sorted to form a sorting sequence expressed as {b2, b3, b4, b6, b7}. It should be noted here that the first singularities in {a1, a2, a3, a4, a6} are sorted in the direction of the road length, and the second singularities in {b2, b3, b4, b6, b7} are sorted according to their association relationships with the corresponding first singularities. Then b2, b3, b4, b6, b7 are sorted in the direction of the road length. For example, assume that, in the direction of the road length, b3 is arranged before b2, and b4, b6, b7 are arranged in sequence after b2. Then b2, b3, b4, b6, b7 are sorted in the direction of the road length and expressed as {b3, b2, b4, b6, b7}. Finally, the system calculates the sorting order similarity between {b2, b3, b4, b6, b7} and {b3, b2, b4, b6, b7}. This similarity is represented by the ratio of the number of elements with the same sorting order to the total number of elements in the sequence. For example, in these two sequences, the sorting orders of b4, b6, b7 are the same. Then the number of elements with the same sorting order is "3", and the total number of elements in the sequence is "5". Then the similarity between the two sequences is three-fifths. This similarity is the sorting order similarity between the designed and corrected road in the set of reference roads and the road to be designed and corrected. In step B1, the system extracts the designed and corrected road with the highest sorting order similarity from the set of reference roads as the matched quasi-reference designed and corrected road.

[0081] After matching the quasi-reference designed and corrected road for the road to be designed and corrected from the set of reference roads through step B1, in step L3, the method for partitioning the road to be designed and corrected transfers to the steps:

[0082] B2. Extract a singularity sequence composed of each second singularity with the ability of partition direct assignment from the proposed reference road that has been designed and corrected, and filter out each first singularity in each first singularity formed in the road to be designed and corrected that has a similar point position association relationship with each second singularity in the singularity sequence. The remaining filtered first singularities are used as the basis points for differential partition correction;

[0083] Specifically, the singularity sequence with the ability of partition direct assignment is: a sequence composed of each second singularity that is continuously arranged in the proposed reference road that has been designed and corrected and has had a point position association with the corresponding first singularity in the road to be designed and corrected. The second singularity having had a point position association with the first singularity means: in the road to be designed and corrected, there is a first singularity that has the highest similarity of singularity parameter values with the second singularity. Binding the similarity relationship of these two point positions between the first singularity and the second singularity completes the association of these two point positions.

[0084] For example, Figure 3 in figure b of Figure 3 the second singularities b2, b3, b4 in the proposed reference road that has been designed and corrected are continuously arranged, and the first singularity a1 in the road to be designed and corrected shown in figure a of

[0085] has had a point position association with b2, a2 has had a point position association with b3, and a3 has had a point position association with b4. Then the sequence {b2, b3, b4} composed of b2, b3, b4 is the singularity sequence with the ability of partition direct assignment.

[0086] In step B2, the method of obtaining the basis points for differential partition correction through filtering is illustrated by the following example: Figure 3 Continuing with the above example, assuming that the singularity sequence with the ability of partition direct assignment is {b2, b3, b4},

[0087] in figure a of

[0088] the first singularities a1, a2, a3 in the road to be designed and corrected respectively have a similar point position association relationship with the second singularities b2, b3, b4 in the singularity sequence. Then filter out a1 - a3 from each first singularity a1 - a7 in the road to be designed and corrected. The remaining filtered first singularities a4 - a7 are used as the basis points for differential partition correction.

[0087] After obtaining the basis points for differential partition correction in the road to be designed and corrected through the filtering in step B2, in step L3, the method of making a partition marking process for the road to be designed and corrected transfers to the steps:

[0088] B3. Amend each differential partition between each basis point and its adjacent first singular point, and make the same partition markings for the partitioned regions between adjacent second singular points in the singular point sequence and the proposed partition regions between the same adjacent first singular points that have a point position similarity relationship with the two adjacent second singular points, and mark the amended regions that have been completed with amended partition markings.

[0089] For example, in the singular point sequence {b2, b3, b4}, the second singular points b2 and b3 are adjacent, b3 and b4 are adjacent, b2 and b3 have a point position similarity association relationship with the first singular points a1 and a2 respectively, and b3 and b4 have a point position similarity association relationship with a2 and a3 respectively. Then Figure 3 make a mark for the proposed partition region 10 between the adjacent a1 and a2 in the example in

[0090] to be the same partition as the partitioned region 20 between the adjacent b2 and b3. This mark carries the point position similarity association relationship between a1, a2 and b2, b3, and carries the greening design or amendment plan associated with the partitioned region 20. Subsequently, based on this mark, the greening design and amendment plan associated with the partitioned region 20 can be quickly obtained, and the proposed partition region 10 defined as the same partition as the partitioned region 20 can be found, which is beneficial to improving the speed and pertinence of the road greening design and amendment for the proposed partition region.

[0091] Continuing with the above example, Figure 3 the first singular points a4 - a7 in the a figure of

[0092] are the basis points remaining after the filtration in step B2. In step B3, the road region between the basis point a4 and the adjacent a3 forms the first differential partition, the road region between a4 and a5 forms the second differential partition, the region between a5 and a6 forms the third differential partition, and the region between a6 and a7 forms the fourth differential partition.

[0093] B31. Match out the partition amendment reference road with the highest similarity to the proposed reference designed and amended road from the set of reference roads.

[0094] In this embodiment, two methods are provided to match out the partition amendment reference road with the highest similarity to the proposed reference designed and amended road from the set of reference roads.

[0095] The first method is as follows: Filter out the proposed reference roads that have been designed and corrected and matched in step B1 from the set of referenceable roads, and then, from the remaining set of referenceable roads after filtering, further match the road that has been designed and corrected and has the highest similarity to the proposed reference road that has been designed and corrected as the partition correction reference road that is matched. This method for matching the highest similarity is the same as the method in step B1 for matching the proposed reference road that has been designed and corrected from the set of referenceable roads for the road to be designed and corrected, which is to match the maximum sorting order similarity between the first singular point and the second singular point with a similar point position association relationship in the two roads, and will not be elaborated here.

[0096] The second method adds the elevation data bound to each singular point as the data basis for matching the partition correction reference road. The elevation data in this embodiment refers to: the elevation difference between the first point with the highest elevation among the singular points in the first sub-region of the same road and the second point with the highest elevation among the singular points in the second sub-region adjacent to the first sub-region. Elevation refers to the spatial distance in the vertical direction between the first point or the second point and the singular point.

[0097] In this embodiment, the second method for matching the partition correction reference road specifically includes the following steps:

[0098] B311. Obtain the first elevation data bound to each second singular point in each road that has been designed and corrected in the set of referenceable roads, including the first elevation difference between the first sub-region and the second sub-region adjacent to the second singular point;

[0099] For example, assume that Figure 3 in figure b of

[0100] After obtaining the first elevation data bound to each second singular point in the same designed and corrected road by calculating the difference between the first spatial distance and the second spatial distance, in step B311, then perform a dimension-raising operation on each second singular point in the same road and directly connect them to obtain the first elevation fitting curve of each designed and corrected road in three-dimensional space;

[0101] For example, Figure 3 Figure b in [reference] is a planar curve graph of a designed and corrected road drawn in two-dimensional space without elevation data. When each second singular point in this graph carries elevation data, perform a dimension-raising operation on these second singular points (the values of the x and y axes remain unchanged, and the value of the z axis changes from "0" to the corresponding z axis) and directly connect each adjacent second singular point to obtain the first elevation fitting curve of this planar curve in three-dimensional space.

[0102] Similarly, in step B311, simultaneously obtain the second elevation data bound to each second singular point in the designed and corrected road to be referred to, including the second elevation difference between the first sub-region and the second sub-region adjacent to the second singular point in the same designed and corrected road to be referred to. Then perform a dimension-raising operation on each second singular point in the same designed and corrected road to be referred to and directly connect adjacent points to obtain the second elevation fitting curve of the designed and corrected road to be referred to in three-dimensional space.

[0103] The calculation principle of the second elevation fitting curve is the same as that of the first elevation fitting curve and will not be elaborated here.

[0104] After obtaining the first elevation fitting curve and the second elevation fitting curve through step B311, the method of step B31 for matching and partitioning the corrected reference road transfers to the step:

[0105] B312, match out the designed and corrected road corresponding to the first elevation fitting curve that has the maximum curve similarity with the second elevation fitting curve from each first elevation fitting curve as the partition correction reference road.

[0106] It should be noted here that there are many existing methods for curve similarity matching, and since the method for matching the similarity between the first elevation fitting curve and the second elevation fitting curve is not within the scope of the claims of this application, no specific description will be given.

[0107] In step B31, the elevation data is used as one of the data bases for curve similarity matching, considering the influence of the elevation space conditions on the road greening design of different road types and different road-side space types in actual situations. Therefore, when using the corrected zones in the partition-corrected reference roads obtained by matching to correct the corrected areas in the to-be-designed corrected roads, it has higher pertinence. Therefore, the method provided in steps B311 - B312 can also be applied to step B1. Through steps B311 - B312, first, the reference designed and corrected roads are matched from the set of reference roads. Then, from at least one reference designed and corrected road, according to the matching method with the maximum sorting order similarity to each first singular point in the to-be-designed corrected road, the proposed reference designed and corrected road is further matched. Then, step B2 is executed. In this way, the proposed reference designed and corrected road matched in this way is more targeted as the basis for garden design and correction of the to-be-designed corrected road.

[0108] After matching the partition-corrected reference roads through step B31, in step B3, the method for correcting each difference zone between each basis point and its adjacent first singular point includes proceeding to the steps:

[0109] B32, obtain the first singular points adjacent to each basis point, and two points form a corresponding first point set. Then, taking each first point set as a unit, match the second point set with the maximum singular point parameter value similarity to the first point set from the partition-corrected reference roads, and filter out the first point sets that do not match the second point set and add them to the artificial correction point set;

[0110] For example, Figure 3 In figure a of [], the first singular points a4 - a7 in the to-be-designed corrected road represent the remaining basis points after filtering through step B2. According to the formation rule of the first point set defined in step B32, the first singular points a3 and a4 form the first point set s1, the first singular points a4 and a5 form the first point set s2, the first singular points a5 and a6 form the first point set s3, and the first singular points a6 and a7 form the first point set s4.

[0111] In this embodiment, an example of the method for matching the second point set with the maximum singular point parameter value similarity to the first point set from the partition-corrected reference roads is as follows:

[0112] Suppose Figure 3 In figure b of [], the partition-corrected reference road matched in step B31 is shown. The system constructs a corresponding second point set for every two adjacent second singular points in this partition-corrected reference road, that is, Figure 3The partition correction expressed in the b graph in the reference road is constructed from the second singular points b1 and b2 as the second point set r1, b2 and b3 as the second point set r2, and so on, until b7 and b8 are constructed as the second point set r7. Then, taking the maximum singular point parameter value similarity matching of the first point set s1 and each second point set as an example, the first point set s1 is matched with the second point sets r1-r7 one by one for singular point parameter value similarity. For example, the first singular points a3 and a4 in the first point set s1 are matched with the second singular point b1 in the second point set r1 for singular point parameter value similarity. If a3 matches b1, a4 is matched with the second singular point b2. If they also match, it is determined that the first point set s1 and the second point set r1 have singular point parameter value similarity. If any first singular point in the first point set s1 does not match any second singular point in the second point set r1, it is determined that the first point set s1 and the second point set r1 do not have singular point parameter value similarity. Then, the second point set with the maximum singular point parameter value similarity is extracted from all second point sets that have similarity with the first point set.

[0113] It should be noted here that the basis data for matching the singular point parameter value similarity between the first point set and the second point set includes any one or more of the road type mutation value bound to the singular point, the road side space type change value and the elevation difference.

[0114] After obtaining the second point set having the singular point parameter value similarity with the first point set through step B32 and obtaining the artificially corrected point set, in step B3, the method of correcting each difference partition between each point and its adjacent first singular point is transferred to step:

[0115] B33, for the correction area associated with the first point set, a correction partition mark is made to correct the garden design or correction plan carried by the divided area bound by the second point set with the maximum singular point parameter value similarity with the first point set; and the road area covered between the two first singular points in each first point set in the artificial correction point set is marked with an artificial correction of the greening plan.

[0116] For example, suppose Figure 3 The area 40 between the first singular points a4 and a5 in the first point set in the graph a is the correction area. In step B33, the correction area 40 is modified by a second point set (assuming that Figure 3 The divided area (assuming that Figure 3 The area indicated by reference numeral "50" in Figure b) carries a revised zoning mark for revision of the garden design or revision plan.

[0117] After step L3, after performing zoning marking on the road to be designed and corrected, as Figure 1 shown, the garden design and correction method provided in this embodiment in combination with road condition change detection proceeds to the steps:

[0118] L4. For the road segments in the road to be designed and corrected that have the same zoning and / or corrected zoning markings, assign the garden design or correction plan of the zoned area bound to the same zoning marking and / or corrected zoning marking; and prompt the user to perform manual correction of the garden plan for the road segments marked as manually corrected in the road to be designed and corrected, and then add the road to be designed and corrected with the completed greening plan design or correction to the road library.

[0119] The following describes the method for dynamically updating the greening plan for the designed and corrected road involved in step L2, which specifically includes the steps:

[0120] C1. Input the construction section coordinates of the road section to be built in the designed and corrected road; for example, assume Figure 3 that figure a in

[0121] is the designed and corrected road for which a certain section or several road sections are to be built. Assume that road section 60 in this road section is the road section to be built, then in step C1, input the coordinates of road section 60 in this road. In this implementation, for each road section in the road after completing the similarity matching of singular point parameter values and undergoing zoning processing, corresponding position coordinates can be assigned in the road extension direction. There are many existing methods for assigning position coordinates to road sections. For example, the position of any point in the road section selected by the rectangular frame can be located, and the positioning position coordinates of this point can be used as the position coordinates assigned to this area.

[0122] C2. The system extracts each singular point covered by this road section according to the input section coordinates of the road section to be built; for example, continuing with the example in step C1, if road section 60 covers the first singular points a6 and a7, then in step C2, extract the first singular points a6 and a7;

[0123] Continuing with the above example, for example, if the road type to be built for road section 60 changes from a four-lane two-way road to a two-lane two-way road, then update the singular point parameters bound to the first singular points a6 and a7 extracted in step C2; the calculation method of singular point parameters has been described in detail above and will not be elaborated here.

[0124] C4. In the set of reference roads associated with the designed and corrected road to be built, match the zoned correction reference road that has the maximum sorting order similarity and the maximum singular point parameter value similarity with each singular point updated in step C3;

[0125] For example, assume that Figure 3 Figure a in it is the road with designed corrections to be built. One of the roads with designed corrections in the associated set of reference roads (how to obtain the set of reference roads associated with the road to be designed or corrected is described in detail in steps A1 - A2 and will not be elaborated here) is shown in Figure b as an example in Figure 3 ; Matching from Figure 3 Figure b in it to find the second singular points with the maximum similarity of singular point parameter values to each first singular point in Figure 3 Figure a has been described above and will not be elaborated here. Also, based on the singular points with similarity of singular point parameter values in the two roads, the method for judging whether the two roads have the maximum sorting order similarity of singular points has also been clearly described above and will not be elaborated again.

[0126] C5. Construct a third point set for the two singular points forming the road segment to be built. For example, continuing the above example, for Figure 3 the first singular points a6 and a7 forming road segment 60 in Figure a of

[0127] construct a corresponding third point set; then match from the partition - corrected reference roads matched in step C4 to find the fourth point set with the maximum similarity of singular point parameter values to the third point set, and select the third point sets that have not matched the fourth point set and add them to the set of manually - corrected points associated with the road with designed corrections to be built; The method for judging whether the third point set and the fourth point set have the maximum similarity of singular point parameter values is the same as the method in step B32 for judging whether the first point set and the second point set have the maximum similarity of singular point parameter values and will not be elaborated here.

[0128] In summary, for the garden design and correction method combined with road condition change detection provided in this embodiment, the user only needs to input the parameter values of each singular point in the road to be designed and corrected, and the system can automatically mark the same partition, corrected partition, and areas that need manual correction for each road segment in this road. For the marked same partition and corrected partition, the system will automatically match a suitable garden greening design or correction plan with an entity model according to the state of the road to be designed and corrected. For the marked areas that need manual correction, the system will prompt the user to perform manual garden plan design or correction on the corresponding road segments. Then, add the road after the design or correction to the road library to increase the amount of data in the road library with entity models, and improve the pertinence and accuracy of automatically generating garden design plans for other roads to be designed and corrected in the future.

[0129] It should be noted that the above specific embodiments are only the preferred embodiments of the present invention and the technical principles applied. Those skilled in the art should understand that various modifications, equivalent replacements, changes, etc. can be made to the present invention. However, as long as these transformations do not deviate from the spirit of the present invention, they should be within the protection scope of the present invention. In addition, some terms used in the specification and claims of this application are not restrictive, but are only for the convenience of description.

Claims

1. A garden design and correction method combined with road condition change detection, characterized in that: Includes steps: L1, input or input singular point parameters of the road to be designed and corrected after completing the road condition change detection, including the coordinates of the road type mutation point and / or the road side space type change point, wherein the mutation point is bound to the first road type and the second road type where the road type mutation occurs, and the change point is bound to the first road side space type and the second road side space type where the road side space type changes, and the first road side space type and the second road side space type are associated with the same or different road types; L2, using the singular point parameters as matching conditions, matching a designed revised road with similarity to the road to be designed and revised from a road library with a physical sample or a road library with a physical sample that has completed dynamic greening plan updates, and adding it to the reference road set; L3, according to the reference road set, marking the roads to be designed and revised by zoning; L4, assigning the divided-area garden design or correction scheme bound to the same partition mark and / or the modified partition mark to the road section with the same partition mark and / or the modified partition mark in the road to be designed and corrected; The user is prompted to manually revise the garden plan for the road section marked as manually revised in the road to be designed and revised, and then the road to be designed and revised with the completed greening plan design or revision is added to the road library; In step L2, the method for matching the reference road set of the road to be designed and corrected comprises the steps of: A1, performing parameter value similarity matching on each first singular point in the road to be designed and corrected and each second singular point in the same road to be designed and corrected, and extracting the second singular point with a similarity greater than a similarity threshold and a maximum similarity to associate with the first singular point as a matching object; A2, judging whether the difference between a first number of the first singular points in the to-be-designed corrected road and a second number of the second singular points associated with the points in the designed corrected road to implement step A1 is greater than a preset difference threshold, and whether the ratio of the second number to a third number of the second singular points in the designed corrected road is greater than a preset ratio threshold, If yes, it is determined that the designed revised road has similarity with the to-be-designed revised road; If not, it is determined that the designed revised road has no similarity with the revised road to be designed.

2. The garden design and correction method combined with road condition change detection according to claim 1 is characterized in that: The first singular point and the second singular point include the mutation point and / or the change point.

3. The garden design and correction method combined with road condition change detection according to claim 1, characterized in that: The method for dynamically updating the greening scheme of the designed and revised road comprises the following steps: C1, inputting the coordinates of the road section to be constructed in the designed revised road; C2, the system extracts each singular point covered by the road segment according to the input road segment coordinates of the road segment to be constructed; C3, updating the singular point parameters of each of the extracted singular points according to the road type and / or road side space type to be constructed for the road segment; C4, in the reference road set associated with the designed revised road to be constructed, matching the partition revised reference road having the maximum sorting order similarity and the maximum singular point parameter value similarity with each singular point updated in step C3; C5, constructing the two singular points forming the road segment to be constructed into a corresponding third point set, then matching a fourth point set having the maximum singular point parameter value similarity with the third point set from the partitioned revised reference road matched in step C4, and screening out each of the third point sets that are not matched to the fourth point set and adding them to the artificial revised point set associated with the designed revised road to be constructed; C6, the road segments associated with the third point set matched to the fourth point set are corrected using the regionally bound garden design or correction method corresponding to the fourth point set, and the road segments associated with each of the third point sets in the artificial correction point set are prompted to perform artificial garden scheme correction.

4. The garden design and correction method combined with road condition change detection according to claim 1, characterized in that: In step L3, the method for zoning the road to be designed and corrected comprises the following steps: B1, further matching the referenced designed revised roads having the greatest sorting order similarity with the first singular points in the to-be-designed revised roads from the referenced road set; B2, extracting a singular point sequence consisting of second singular points with the ability to directly assign partitions from the proposed reference road to be designed for correction, and filtering out first singular points having similar point-position association relationships with the second singular points in the singular point sequence from the first singular points formed in the road to be designed for correction, and filtering out the remaining first singular points as the basis points for difference partition correction; B3, correct each difference partition between each point and its adjacent first singular point, and make the same partition mark for the divided area between the adjacent second singular points in the singular point sequence and the proposed divided area between the adjacent first singular points that have a similar point relationship with the two adjacent second singular points, and make the corrected area with a corrected partition mark.

5. The garden design and correction method combined with road condition change detection according to claim 4 is characterized in that: In step B2, the singular point sequence with the partition direct assignment capability is: a sequence consisting of second singular points that are continuously arranged in the referenced designed correction road and are point-wise associated with the corresponding first singular points in the to-be-designed correction road; The second singular point is associated with the first singular point by point relationship, which means that: in the road to be designed and corrected, there is the first singular point which has a singular point parameter value similar to that of the second singular point and has the maximum similarity, and the first singular point is bound with the corresponding second singular point by point similarity relationship to complete the association of the two points.

6. The garden design and correction method combined with road condition change detection according to claim 4 is characterized in that: In step B3, the method for correcting each difference partition between each of the reference points and the first adjacent singular points comprises the steps of: B31, matching a partitioned revised reference road having the greatest similarity to the proposed reference designed revised road from the reference road set; B32, obtaining the first singular points adjacent to each of the reference points, and forming a corresponding first point set in pairs, and then matching a second point set having a maximum singular point parameter value similarity with the first point set from the partition correction reference road with each of the first point sets as a unit, and screening out each of the first point sets that are not matched with the second point set and adding them to the artificial correction point set; B33, for the correction area associated with the first point set, a correction partition mark is made to correct the garden design or correction scheme carried by the divided area bound by the second point set having the maximum singular point parameter value similarity with the first point set; And a greening scheme artificial correction mark is made for the road area covered between two of the first singular points in each of the first point sets in the artificial correction point set.

7. The garden design and correction method combined with road condition change detection according to claim 6, characterized in that: The method for matching the partition-corrected reference road comprises the steps of: B311, obtaining the first elevation data bound to each of the second singular points in each of the designed corrected roads in the reference road set, including the first elevation difference between the first divided area and the second divided area adjacent to the second singular point in the same designed corrected road, and then performing a dimensionality increase operation on each of the second singular points in the same designed corrected road and directly connecting adjacent points to obtain a first elevation fitting curve of each of the designed corrected roads in three-dimensional space; and obtaining the second elevation data bound to each of the second singular points in the proposed reference designed revised road, including the second elevation difference between the first divided area and the second divided area adjacent to the second singular point in the same proposed reference designed revised road, and then performing a dimensionality increase operation on each of the second singular points in the same proposed reference designed revised road and directly connecting adjacent points to obtain a second elevation fitting curve of the proposed reference designed revised road in three-dimensional space; B312, matching the designed corrected road corresponding to the first elevation fitting curve having the maximum curve similarity with the second elevation fitting curve from the first elevation fitting curves as the partition correction reference road.

8. The garden design and correction method combined with road condition change detection according to claim 7, characterized in that: The first elevation difference is: the difference between the first spatial distance in the vertical direction between the first point with the maximum elevation associated with the singular point in the first divided area or the first proposed divided area in the same road and the second spatial distance in the vertical direction between the second point with the maximum elevation in the second divided area or the second proposed divided area adjacent to the first divided area or the first proposed divided area and the singular point.

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