CN112700062A - Pavement maintenance method, equipment and storage medium - Google Patents
Pavement maintenance method, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a pavement maintenance method, equipment and a storage medium, wherein the maintenance method comprises the following steps: acquiring road grade and management units of a road section in a preset route; determining a plurality of maintenance decision intervals of the road section according to the road grade and the management unit; and determining a maintenance scheme of each maintenance decision section through a preset decision model according to the pavement detection data of each maintenance decision section in the maintenance decision sections. According to the maintenance decision-making intervals of the road section, the road sections belonging to different levels and different management units can be divided, the maintenance scheme suitable for the maintenance decision-making intervals of the preset route can be obtained through the preset decision-making model of the road section, and the accuracy and the stability of the maintenance decision of the preset road section are improved.
Description
Technical Field
The present disclosure relates to road maintenance technologies, and in particular, to a method, a device and a storage medium for maintaining a road surface.
Background
The highway construction plays an important role in the national modernization and urbanization construction all the time, and meanwhile, higher construction requirements are given to the highway construction.
Under the long-term effects of factors such as traffic load, temperature change and water, the structure and functionality of the highway pavement are damaged to a certain extent, and the overall service performance of the pavement is reduced. Therefore, in order to prolong the service life of the road surface, necessary maintenance measures must be taken for the road surface. The existing network level decision analysis mainly makes a pavement maintenance scheme according to evaluation made by a decision tree.
In practical application, it is often found that a certain deviation exists between a decision made by system evaluation and a specific road condition, and a traditional maintenance mode cannot meet the requirement of large-scale maintenance.
Disclosure of Invention
The embodiment of the application provides a pavement maintenance method, equipment and a storage medium, which are used for solving the following technical problems in the prior art: under the condition that the structure of the pavement is influenced by various factors, the accuracy of a pavement maintenance scheme formulated by the conventional pavement maintenance system is low.
On one hand, the embodiment of the application provides a pavement maintenance method, which comprises the following steps: acquiring road grade and management units of a road section in a preset route; determining a plurality of maintenance decision intervals of the road section according to the road grade and the management and maintenance unit; and determining the maintenance scheme of each maintenance decision section through a preset decision model according to the pavement detection data of each maintenance decision section in the maintenance decision sections.
According to the maintenance decision-making intervals of the road section, the road sections belonging to different levels and different management units can be divided, the maintenance scheme suitable for the maintenance decision-making intervals of the preset route can be obtained through the preset decision-making model of the road section, and the accuracy and the stability of the maintenance decision of the preset road section are improved.
Optionally, determining a plurality of maintenance decision intervals of the road section according to the road grade and the management unit specifically includes: according to the road grade, carrying out interval division on a plurality of pile numbers of the road section, and determining a plurality of initial maintenance decision intervals; and according to the management and maintenance unit, carrying out interval division on the plurality of initial maintenance decision intervals to determine a plurality of maintenance decision intervals of the road section.
Optionally, determining a maintenance scheme of each maintenance decision section through a preset decision model according to road surface detection data of each maintenance decision section in the plurality of maintenance decision sections, specifically including: determining a plurality of initial maintenance schemes of each maintenance decision section according to the pavement detection data of each maintenance decision section in the maintenance decision sections; and determining the maintenance scheme of each maintenance decision interval through a preset maintenance optimization model according to the plurality of initial maintenance schemes of each maintenance decision interval.
According to the embodiment of the application, the maintenance scheme is optimized by presetting the maintenance optimization model, the effectiveness and stability of the decision are guaranteed, the maintenance cost can be effectively reduced, and the optimal benefit of resources is brought into play.
Optionally, the determining, by using a preset maintenance optimization model, a maintenance scheme of the maintenance decision interval specifically includes: determining a first matrix among the plurality of initial maintenance schemes of each maintenance decision interval according to the plurality of initial maintenance schemes of each maintenance decision interval; determining a second matrix of the pavement performance evaluation index according to a scale expansion method; performing product calculation on the first matrix and the second matrix, and determining a third matrix among a plurality of initial maintenance schemes in each maintenance decision interval; determining the quality coefficient of each initial maintenance scheme according to the third matrix; and determining the maintenance scheme according to the quality coefficient of each initial maintenance scheme.
The embodiment of the application reasonably screens the road surface condition maintenance by analyzing the quality coefficients corresponding to the maintenance schemes so as to ensure the comprehensiveness and objectivity of the road surface condition maintenance.
Optionally, determining a first matrix among the plurality of initial maintenance schemes of each maintenance decision section according to the plurality of initial maintenance schemes of each maintenance decision section, specifically comprising determining a fourth matrix of each initial maintenance scheme meeting the pavement performance evaluation index according to the degree that each initial maintenance scheme meets the pavement performance evaluation index in the plurality of initial maintenance schemes of each maintenance decision section; and according to the fourth matrix, determining the first matrix according to the feasible degree of the typical road maintenance countermeasures summarized by expert experience on the road performance evaluation indexes and the membership function results of the road performance evaluation indexes on different grades.
Optionally, after determining the maintenance schedule of each maintenance decision interval, the method further includes: and determining the maintenance sequencing of each maintenance decision interval through a preset priority maintenance model so as to maintain each maintenance decision interval in sequence.
According to the embodiment of the application, the maintenance decision intervals are sequenced, so that the highway is maintained, and the social benefit can be considered.
Optionally, the presetting of the preferential maintenance model includes: determining maintenance priority levels of different maintenance decision intervals according to a preset sorting principle; and determining the priority maintenance decision intervals according to the sorting principle for a plurality of maintenance decision intervals in one priority level.
Optionally, the preset ordering principle includes: determining a maintenance decision interval with a high road grade as a first priority maintenance decision interval; determining the maintenance decision interval with high damage condition grade as a second priority maintenance decision interval; determining a maintenance decision interval with high traffic volume grade as a third preferred maintenance decision interval; the priority level of the first priority maintenance decision interval is higher than that of the second priority maintenance decision interval, and the priority level of the second priority maintenance decision interval is higher than that of the third priority maintenance decision interval.
On the other hand, the embodiment of the application provides a pavement maintenance device, which comprises a processor, a memory and execution instructions stored on the memory, wherein the execution instructions are configured to enable the maintenance device to execute the maintenance method of any one of the above technical schemes when being executed by the processor.
In another aspect, an embodiment of the present application provides a storage medium, where the storage medium stores execution instructions configured to, when executed by a processor of an electronic device, enable the electronic device to perform the maintenance method according to any one of the above technical solutions.
According to the maintenance decision-making intervals of the road section, the road sections belonging to different levels and different management units can be divided, the maintenance scheme suitable for the maintenance decision-making intervals of the preset route can be obtained through the preset decision-making model of the road section, and the accuracy of the maintenance decision of the preset road section is improved.
Drawings
In order to more clearly explain the technical solutions of the present application, some embodiments of the present application will be described in detail below with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for maintaining a pavement according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for determining a maintenance schedule of each maintenance decision interval through a preset maintenance optimization model according to an embodiment of the present application;
fig. 3 is a schematic structural view of a pavement maintenance device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following embodiments and accompanying drawings. It should be understood by those skilled in the art that the embodiments described in this detailed description are only a few embodiments of the present application, and not all embodiments of the present application. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments described in the detailed description of the present application, do not depart from the technical principles of the present application and therefore should fall within the scope of the present application.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a road surface maintenance method provided in an embodiment of the present application.
As shown in fig. 1, S101, a road grade and a management unit of a road segment in a preset route are obtained.
The monitoring platform can acquire the road grade and the management unit to which the road section of the preset route belongs through the route number and the route name of the preset route.
The maintenance unit refers to a maintenance unit to which the road section belongs.
S102, determining a plurality of maintenance decision intervals of the road section according to the road grade and the management and maintenance unit.
The road sections of the preset route comprise a plurality of stake numbers.
Specifically, the monitoring platform acquires a plurality of pile numbers in a road section of a preset route, and then sequentially performs interval division on the pile numbers of the road section according to the road grade from a starting point pile number, so as to determine a plurality of initial maintenance decision intervals.
Wherein, a plurality of pile numbers in each initial maintenance decision interval are continuous. That is, the road grade of each initial maintenance decision section may be the same or different.
It should be noted that, in the embodiment of the present application, a plurality of maintenance decision intervals may also be selected from the terminal pile numbers of the road segments of the preset route, and the maintenance decision intervals may be set according to actual needs, which is not specifically limited herein.
Further, the monitoring platform acquires the maintenance unit of each initial maintenance decision interval, and then performs interval division on a plurality of pile numbers in each initial maintenance decision interval again according to the maintenance unit to finally obtain a plurality of maintenance decision intervals of the road section.
In the embodiment of the present application, other factors for dividing the sections may be added to determine a plurality of maintenance decision sections. For example, the area change, the central pile number of the interchange, the road surface type change, the construction year, the number of lanes, the broken link of the pile number, the repeated road section, the bridge, the tunnel, the starting point and the terminal point of the uplink and downlink separation road section, the base layer type change and the current road surface structure.
For example, the stake numbers of the sections of the preset route are 0 to 100.
Wherein, the stake numbers 0-30 are first-level roads, and 30-100 are second-level roads, then according to the road grade, the road section of the preset route is divided into two initial maintenance decision sections, that is, the road section between the stake numbers 0-30 is one initial maintenance decision section, and the road section between the stake numbers 30-100 is another initial maintenance decision section.
Further, according to management units, the stake number of 0-20 is managed by the Jinan division company, the stake number of 20-100 is managed by the Texas division company, the two initial maintenance decision intervals are divided into 3 maintenance decision intervals. That is, the section between stake numbers 0-20 is a maintenance decision section, stake numbers 20-30 is a maintenance decision section, and stake numbers 30-100 is a maintenance decision section.
S103, determining a maintenance scheme of each maintenance decision section through a preset decision model according to the road surface detection data of each maintenance decision section in the maintenance decision sections.
The road surface detection data comprises road surface damage condition data, road surface running quality data, road surface rutting depth data, road surface vehicle jumping data, road surface abrasion data, road surface anti-skid performance data and road surface structural strength data.
Specifically, the monitoring platform determines a plurality of initial maintenance schemes of each maintenance decision section according to road surface detection data of each maintenance decision section in the plurality of maintenance decision sections.
The monitoring platform inputs the road surface detection data of each maintenance decision section in the maintenance decision sections into a preset decision tree to obtain a plurality of initial maintenance schemes of each maintenance decision section.
The preset decision tree is to determine whether to carry out reconstruction or additional maintenance strategies according to a certain principle according to the current situation of the road use performance.
Specifically, the preset decision tree is obtained by an empirical method for the monitoring platform according to the combination of various parameters such as the road surface damage condition, the road surface running quality, the road surface rutting depth, the road surface vehicle jumping, the road surface abrasion, the road surface skid resistance, the road surface structural strength capability, the influence of base material, the traffic volume and the like. That is, by local investigation, a correspondence relationship between different combinations of evaluation results and road surface maintenance countermeasures is established to obtain a decision tree suitable for different road surface structures.
For example, a road surface damage condition includes two parts, one PCI and one major damage type. The size of the PCI is one of the important factors in determining whether mat is currently needed and the thickness of the mat, and the type of major damage to the pavement is the main factor in determining what action to take before the countermeasure. Even if the PCI is the same, the countermeasure may be different if the type on the road surface is different, and when the load bearing of the entire road surface is satisfied and only the surface cracks are large, the thickness of the overlay surface is large to prevent the reflection of the cracks.
The road surface driving quality reflects the flatness of the road surface; when determining the thickness of the mat, whether the original pavement is flat or not is considered, and the worse the flatness, the thicker the mat should be.
The size of pavement structure intensity ability has decided whether pavement structure needs the reinforcement, and the actual measurement deflection value is too big, should reinforce the basic unit, or with thicker reinforcement mat facing.
When the flatness of the pavement is poor, the type of the base layer has great influence on the selection of the countermeasures, and when the base layer of the pavement is semi-rigid, an updating measure can be adopted, namely, the old pavement is removed and then the surface layer is paved again; and the gravel base layer can be directly paved or renovated.
The traffic volume is the most important external load borne by the road surface, the larger the traffic volume is, the road section is generally the main traffic trunk road, and in order to reduce the influence of construction on traffic, a countermeasure with a long service life is adopted as far as possible so as to avoid the influence of more frequent maintenance and repair on traffic.
Wherein the types of the maintenance schemes comprise minor repair maintenance, middle repair, major repair and preventive maintenance.
According to the embodiment of the application, the decision tree is combined with the local conditions, so that the corresponding relation between the combination of different performance evaluation indexes and the road surface maintenance strategy is established, the decision tree suitable for different road surface structures is obtained, the accuracy of maintenance decision on road conditions can be improved, and a plurality of initial maintenance schemes more conforming to road sections can be obtained.
Further, the monitoring platform determines the maintenance scheme of each maintenance decision interval according to a preset maintenance optimization model for the plurality of initial maintenance schemes of each maintenance decision interval.
In the embodiment of the present application, please refer to fig. 2 and the explanation of the related content for how to determine the maintenance scheme of each maintenance decision interval by presetting the maintenance optimization model.
And further, determining the maintenance cost of each maintenance decision interval through a preset maintenance cost model according to the maintenance scheme of each maintenance decision interval.
Specifically, the minor repair maintenance expenditure is calculated according to the average maintenance unit price x the total maintenance area, and the structural repair, functional repair, and preventive maintenance construction cost is calculated according to the local construction budget quota and the local government regulations in terms of yuan/square meter.
Further, the structurally repaired road section should include the cost of disposing the old road in addition to the cost of calculating the maintenance plan, and the cost of disposing the old road is calculated according to the amount of the cracks and the patch in the road surface damage condition.
In addition, after the maintenance scheme of each maintenance decision interval is determined, a road use performance prediction model can be respectively established for each maintenance decision interval through a preset prediction method.
The preset prediction method in the embodiment of the present application may be set according to actual needs, and is not specifically limited herein. For example, the predetermined prediction method may be an empirical method, a mechanical method, or a mechanical empirical method.
Furthermore, various road use performance prediction models can be respectively established for each maintenance decision section, corresponding related analysis decision flows are established for the various road use performance prediction models, and final road use performance prediction is determined, so that the accuracy and stability of the road use performance prediction models for road condition development trend prediction can be effectively improved.
According to the embodiment of the application, the final maintenance scheme is obtained by optimizing the plurality of initial maintenance schemes in each maintenance decision interval, so that the maintenance cost can be effectively reduced while the effectiveness and the maintenance stability of the maintenance decision are ensured, and the optimal benefit of resources is brought into play.
Next, how to determine the maintenance scheme of each maintenance decision interval through the preset maintenance optimization model in the embodiment of the present application is described continuously, as shown in fig. 2.
Fig. 2 is a flowchart of a method for determining a maintenance schedule of each maintenance decision interval through a preset maintenance optimization model according to an embodiment of the present application.
S201, determining a first matrix among the plurality of initial maintenance schemes of each maintenance decision interval according to the plurality of initial maintenance schemes of each maintenance decision interval. Wherein the first matrix is similar to the good and bad coefficient matrix.
Specifically, the monitoring platform determines a fourth matrix, in which each initial maintenance scheme satisfies the pavement performance evaluation index, according to the degree that each initial maintenance scheme satisfies the pavement performance evaluation index among the plurality of initial maintenance schemes in each maintenance decision section. And the fourth matrix for each initial maintenance scheme to meet the pavement performance evaluation index is related to the degree matrix for each initial maintenance scheme to meet the pavement performance evaluation index.
Wherein, the road surface performance evaluation index comprises: the road surface damage condition index, the road surface running quality index, the road surface rutting depth index, the road surface jumping index, the road surface abrasion index, the road surface anti-skid performance index and the road surface structural strength index.
The standard value of the road surface performance evaluation index in the embodiment of the present application may be set appropriately according to local circumstances, and is not limited herein. For example, according to the criteria for evaluating the technical status of roads (JTG 5210-.
Further, assuming that a plurality of initial maintenance schemes in each maintenance decision interval are x, to (a)1、a2、an) And (5) characterizing. And assuming that there are y evaluation indexes reflecting the road surface performance, to (b)1、b2、bn) And (5) characterizing.
In addition, maintenance protocol aiSatisfies the performance evaluation index bjTo an extent of cijAnd (5) characterizing.
From the above assumptions, a fourth matrix can be obtained:
b1 … by
and according to the fourth matrix, determining a first matrix among a plurality of initial maintenance schemes according to the feasible degree of the typical road maintenance countermeasures summarized by expert experience on the road performance evaluation indexes and the membership function results of the road performance evaluation indexes on different grades.
Further, assume a first matrix between x initial curing scenarios with Ex×yAnd (5) characterizing.
Wherein the significance of the good-bad relation among the schemes is that if Eik＞EjkShowing that the maintenance scheme a is used for improving the service performance of the pavementiIs superior to the maintenance proposal aj。
And S202, determining a second matrix of the pavement performance evaluation index according to a scale expansion method. Wherein the second matrix is similar to the membership matrix.
Specifically, assume y performance index (b)1、b2、bn) Second matrix with F1×yAnd (5) characterizing.
Wherein, y performance index (b)1、b2、bn) Matrix F of membership1×yAnd applying a scale expansion method to obtain corresponding membership and a specific weight distribution value.
S203, performing product calculation on a first matrix among the plurality of initial maintenance schemes in each maintenance decision interval and a second matrix of the pavement evaluation performance index, and determining a third matrix among the plurality of initial maintenance schemes in each maintenance decision interval. Wherein the third matrix is related to the comprehensive good and bad coefficient matrix.
Specifically, assume a third matrix E between x initial curing scenariosz(1×y)Characterization, wherein the combined influence coefficient is Ezi。
The third matrix is thus calculated according to the following equation.
Ez(1×y)＝F1×x.Ex×y
S204, determining the quality coefficient of each initial maintenance scheme according to a third matrix among the plurality of initial maintenance schemes in each maintenance decision interval.
In particular, by means of a third matrix Ez(1×y)And comprehensive quality coefficients corresponding to the maintenance schemes can be obtained.
And S205, determining the maintenance schemes according to the quality coefficients of the initial maintenance schemes.
Wherein E iszi(max) corresponding scheme aiNamely, the optimal scheme is obtained.
The embodiment of the application reasonably screens the comprehensive good and bad coefficients corresponding to all maintenance schemes by analyzing the comprehensive good and bad coefficients to ensure the comprehensiveness and objectivity of the maintenance of the road surface condition.
Next, how to determine the maintenance ranking of each maintenance decision interval in the embodiments of the present application after determining the maintenance scheme of each maintenance decision interval is described continuously.
Specifically, the maintenance sequencing of each maintenance decision interval is determined through a preset priority maintenance model, so that the maintenance decision intervals are maintained in sequence.
And the monitoring platform determines maintenance priority levels of different maintenance decision intervals according to a preset sorting principle.
Further, for a plurality of maintenance decision intervals in one priority level, a priority maintenance decision interval is determined according to a sorting principle.
Wherein, the sorting principle comprises: and when the road grade is greater than the preset road grade threshold value, determining the maintenance decision section of the road grade as a first priority maintenance decision section. And when the damage condition grade is greater than the preset damage condition grade threshold value, determining the maintenance decision interval of the damage condition grade as a second priority maintenance decision interval. And when the traffic volume grade is greater than the preset traffic volume grade threshold value, determining the maintenance decision interval of the traffic volume grade as a third preferred maintenance decision interval.
In addition, the priority level of the first priority maintenance decision interval is higher than that of the second priority maintenance decision interval, and the priority level of the second priority maintenance decision interval is higher than that of the third priority maintenance decision interval.
The traffic volume may be considered at different times.
For example, pavement maintenance requires one month, the current traffic volume is low, but the traffic volume may be high in the next half month. For example, near school, when studying and giving cold or hot holidays, or near mall immediately.
It should be noted that the monitoring platform may also determine the maintenance ranking of each maintenance decision interval by using a method combining a vector method and a unique sum method.
In some embodiments of the present application, before performing maintenance on each maintenance decision interval in sequence, the method may further include:
and judging the anti-slip capability of the road section of each maintenance decision-making interval according to the road surface detection data of each maintenance decision-making interval, determining the maintenance sequencing of each maintenance decision-making interval by a preset priority maintenance model under the condition of sufficient anti-slip capability, and carrying out investment maintenance on the maintenance decision-making interval with insufficient anti-slip capability under the condition of insufficient anti-slip capability. That is to say, for a road section in a maintenance decision section with insufficient anti-skid capability, the embodiment of the application does not perform maintenance sequencing any more, but directly performs investment maintenance on the road section.
In addition, for the maintenance decision section in a preset special scene, the maintenance scheme of the maintenance decision section is determined by predicting the pavement performance of the maintenance decision section.
Specifically, determining a possible road surface event in a maintenance decision section in a future period of time for a maintenance decision section in a preset special scene (for example, road surface maintenance is not required currently), where the possible road surface event refers to an event with an occurrence probability greater than a preset threshold;
estimating the damage degree of the road surface in the decision-making maintenance interval based on the event, and determining that maintenance needs to be carried out on the maintenance decision-making interval;
and determining a maintenance scheme of the road surface according to the detection data and the damage degree of the road surface.
For example, for some road segments, it is originally determined that maintenance is not needed (or maintenance level, priority is low), but due to the fact that new construction sites, quarries and the like are nearby, large vehicles frequently pass by in the recent period of time.
Therefore, the damage degree of the road surface in the decision-making maintenance interval in the future can be estimated within a period of time in the future, and the maintenance decision interval is determined to need to be maintained.
And under the condition that maintenance is required, determining a maintenance scheme of the road surface according to the event scale and the like and the damage degree of the road surface in the decision maintenance interval.
Wherein, the higher the destruction degree is, the higher the maintenance requirement on the road surface in the maintenance scheme is, the better materials and processes can be adopted, or the current time period to the start of the event is calculated, and the maintenance scheme is calculated according to the time period.
According to the embodiment of the application, the maintenance decision intervals are sequenced, so that the highway is maintained, and the social benefit can be considered.
As shown in fig. 3, the present application also provides a pavement maintenance apparatus. The maintenance device comprises a processor, optionally a memory and a bus on a hardware level, and furthermore allows the inclusion of hardware required by other services.
The memory is used for storing an execution instruction, and the execution instruction is a computer program capable of being executed. Further, the memory may include a memory and a non-volatile memory (non-volatile memory) and provide execution instructions and data to the processor. Illustratively, the Memory may be a high-speed Random-Access Memory (RAM), and the non-volatile Memory may be at least 1 disk Memory.
Wherein the bus is used to interconnect the processor, the memory, and the network interface. The bus may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus.
In a possible implementation manner of the maintenance equipment, the processor may first read the corresponding execution instruction from the nonvolatile memory to the memory and then operate the corresponding execution instruction, or may first obtain the corresponding execution instruction from another equipment and then operate the corresponding execution instruction. When the processor executes the execution instruction stored in the memory, the maintenance method in any one of the maintenance method embodiments described above in the present application can be implemented.
It will be appreciated by those skilled in the art that the curing method described above may be applied to a processor, or may be implemented by means of a processor. Illustratively, the processor is an integrated circuit chip having the capability to process signals. During the process of executing the maintenance method by the processor, the steps of the maintenance method can be completed by an integrated logic circuit in the form of hardware or instructions in the form of software in the processor. Further, the Processor may be a general-purpose Processor, such as a Central Processing Unit (CPU), a Network Processor (NP), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, a microprocessor, or any other conventional Processor.
Those skilled in the art will also understand that the steps of the above-described maintenance method embodiments of the present application may be performed by a hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, eprom, registers, and other storage media that are well known in the art. The storage medium is located in the memory, and the processor reads the information in the memory and then completes the execution of the steps in the maintenance method embodiment in combination with the hardware of the processor.
Although not shown in the drawings, the present application also proposes a storage medium, which stores execution instructions, and when executed by a processor of an electronic device, the stored execution instructions can cause the electronic device to execute the curing method in any one of the curing method embodiments described above in the present application.
Those skilled in the art will appreciate that the electronic device described in the above embodiments of the present application may be a computer.
So far, the description of the technical solution of the present application has been completed with reference to the drawings and the above embodiments.
As will be appreciated by one skilled in the art, the curing method embodiments described above in the present application can be embodied in the form of a curing method or in the form of a computer program product. Therefore, the technical solution of the present application may be implemented in a form of full hardware, or in a form of full software, or in a form of a combination of software and hardware.
It should be noted that, in order to highlight the differences between the above-mentioned embodiments of the present application, the above-mentioned embodiments of the present application are arranged and described in a parallel manner and/or a progressive manner, and the following embodiments only focus on the differences between the above-mentioned embodiments and other embodiments, and the same or similar parts between the various embodiments may be mutually referred to. For example, as for the device/product embodiment, since the device/product embodiment is basically similar to the curing method embodiment, the description is relatively simple, and the relevant points can be referred to the description of the corresponding parts of the curing method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the technical principle of the present application shall fall within the protection scope of the present application.
Claims (10)
1. A method of maintaining a pavement, comprising:
acquiring road grade and management units of a road section in a preset route;
determining a plurality of maintenance decision intervals of the road section according to the road grade and the management unit;
and determining a maintenance scheme of each maintenance decision section through a preset decision model according to the pavement detection data of each maintenance decision section in the maintenance decision sections.
2. The maintenance method according to claim 1, wherein the determining a plurality of maintenance decision intervals for the road segment according to the road class and the management unit comprises:
according to the road grade, carrying out interval division on a plurality of pile numbers of the road section, and determining a plurality of initial maintenance decision intervals;
and according to the management and maintenance unit, carrying out interval division on the plurality of initial maintenance decision intervals, and determining a plurality of maintenance decision intervals of the road section.
3. The maintenance method according to claim 1, wherein the determining the maintenance schedule of each maintenance decision section through a preset decision model according to the road surface detection data of each maintenance decision section comprises:
determining a plurality of initial maintenance schemes of each maintenance decision interval according to the pavement detection data of each maintenance decision interval in the maintenance decision intervals;
and determining the maintenance scheme of each maintenance decision interval through a preset maintenance optimization model according to the plurality of initial maintenance schemes of each maintenance decision interval.
4. The curing method of claim 3, wherein the determining the curing plan for each curing decision interval through a preset curing optimization model specifically comprises:
determining a first matrix among the plurality of initial maintenance schemes of each maintenance decision interval according to the plurality of initial maintenance schemes of each maintenance decision interval;
determining a second matrix of the pavement performance evaluation index according to a scale expansion method;
performing product calculation on the first matrix and the second matrix to determine a third matrix among a plurality of initial maintenance schemes in each maintenance decision interval;
determining the quality coefficient of each initial maintenance scheme according to the maintenance parameters;
and determining the maintenance scheme of each maintenance interval according to the quality coefficient of each initial maintenance scheme.
5. The curing method of claim 4, wherein the determining a first matrix between the plurality of initial curing solutions for each curing decision interval according to the plurality of initial curing solutions for each curing decision interval comprises:
determining a fourth matrix of the initial maintenance schemes meeting the pavement performance evaluation indexes according to the degree that each initial maintenance scheme in the plurality of initial maintenance schemes in each maintenance decision interval meets the pavement performance evaluation indexes;
and according to the fourth matrix, determining the first matrix according to the feasible degree of the typical road maintenance countermeasures summarized by expert experience on the road surface performance evaluation indexes and the membership function result of the road surface performance evaluation indexes on different grades.
6. The maintenance method according to claim 1, wherein after said determining the maintenance schedule for each maintenance decision interval, the method further comprises:
and determining the maintenance sequencing of each maintenance decision interval through a preset preferential maintenance model so as to maintain each maintenance decision interval in sequence.
7. The curing method of claim 6, wherein the preset preferential curing model comprises:
determining maintenance priority levels of different maintenance decision intervals according to a preset sorting principle;
and for a plurality of maintenance decision intervals in one priority level, determining a priority maintenance decision interval according to the sorting principle.
8. A curing method according to claim 7, wherein the preset ordering rule comprises:
when the road grade is greater than a preset road grade threshold value, determining a maintenance decision interval of the road grade as a first priority maintenance decision interval;
when the damage condition grade is greater than a preset damage condition grade threshold value, determining the maintenance decision interval of the damage condition grade as a second priority maintenance decision interval;
when the traffic volume grade is greater than a preset traffic volume grade threshold value, determining the maintenance decision interval of the traffic volume grade as a third preferred maintenance decision interval;
the priority level of the first priority maintenance decision interval is higher than that of the second priority maintenance decision interval, and the priority level of the second priority maintenance decision interval is higher than that of the third priority maintenance decision interval.
9. A roadway maintenance device, characterized in that the maintenance device comprises a processor, a memory and execution instructions stored on the memory, the execution instructions being arranged to, when executed by the processor, enable the maintenance device to carry out the maintenance method of any one of claims 1 to 8.
10. A storage medium storing executable instructions arranged, when executed by a processor of an electronic device, to cause the electronic device to perform the curing method of any one of claims 1 to 8.
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Application publication date: 20210423 |