CN109740774B - Correction method of pavement maintenance measure library and electronic equipment - Google Patents
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Abstract
The embodiment of the invention provides a method for correcting a pavement maintenance measure library and electronic equipment, wherein the method comprises the following steps: determining maintenance measures corresponding to any surface layer type and any maintenance type of the pavement and an initial pavement condition matrix applicable to the maintenance measures according to any surface layer type and any maintenance type of the pavement, and initial information of the maintenance measures, and constructing a maintenance measure library according to the initial information of the maintenance measures and the applicable initial pavement condition matrix; constructing a maintenance engineering implementation matrix according to the engineering implementation data of each historical maintenance of each combined pavement sample and the pavement condition information before each historical maintenance, and acquiring the actual pavement condition using each maintenance measure and the actual information of each maintenance measure according to all the maintenance engineering implementation matrices; and correcting the maintenance measure library by using the actual road surface condition of each maintenance measure and the actual information of each maintenance measure. The road maintenance measure library is more accurate after correction in the embodiment of the invention.
Description
Technical Field
The embodiment of the invention belongs to the technical field of pavement maintenance, and particularly relates to a correction method of a pavement maintenance measure library and electronic equipment.
Background
China has entered the highway maintenance peak period comprehensively, and from the aspect of profession, highway maintenance work relates to projects such as roadbeds, pavements, bridges, tunnels, facilities along the highway, electromechanics and the like; and in the maintenance stage, the highway maintenance work comprises maintenance detection, road condition assessment, maintenance decision, maintenance design and maintenance construction. For a certain highway maintenance project, the maintenance four factors comprise maintenance time, maintenance road sections, maintenance measures and maintenance cost.
The highway maintenance measures are the key attributes in highway maintenance, and directly determine the investment of highway maintenance cost and the treatment effect on highway diseases. The traditional highway maintenance measures are mainly determined by a historical experience method, so that the relevant information of the highway maintenance measures in the measure library is inaccurate. And selecting improper maintenance measures for treating the road diseases according to the inaccurate road maintenance measure information, so that the road condition cannot be improved better, the use effect cannot be ensured, and further the serious waste of road maintenance funds is caused.
In summary, the related information of the maintenance measures in the highway maintenance measure library established in the prior art is inaccurate, and a correction method of the highway maintenance measure library is urgently needed to correct the maintenance measures in the highway maintenance measure library.
Disclosure of Invention
In order to overcome the problem that the information related to the maintenance measures in the conventional road maintenance measure library is inaccurate or at least partially solve the problem, embodiments of the present invention provide a method for correcting a road maintenance measure library and an electronic device.
According to a first aspect of an embodiment of the present invention, there is provided a method for correcting a road surface maintenance measure library, including:
determining maintenance measures corresponding to any surface layer type and any maintenance type of the pavement, an initial pavement condition matrix applicable to the maintenance measures and the initial information of the maintenance measures, and constructing a maintenance measure library according to the initial information of the maintenance measures and the applicable initial pavement condition matrix;
constructing a maintenance engineering implementation matrix according to the engineering implementation data of each time of historical maintenance of each pavement sample under the combination and the pavement condition information before each time of historical maintenance, and acquiring the actual pavement condition of each maintenance measure and the actual information of each maintenance measure according to all the maintenance engineering implementation matrices;
and correcting the initial road condition matrix applicable to each maintenance measure in the maintenance measure library by using the actual road condition of each maintenance measure, and correcting the initial information of each maintenance measure in the maintenance measure library by using the actual information of each maintenance measure.
According to a second aspect of the embodiments of the present invention, there is also provided an electronic apparatus, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, and the processor calls a method for correcting the road maintenance measure library provided by any one of the various possible implementations of the first aspect.
The embodiment of the invention provides a method for correcting a pavement maintenance measure library and electronic equipment, wherein the method comprises the steps of constructing the pavement maintenance measure library according to different pavement types, initial information of maintenance measures under different maintenance types and an initial pavement condition matrix suitable for the maintenance measures, constructing a maintenance engineering implementation matrix according to engineering implementation data of each historical maintenance of a pavement sample and pavement condition information before maintenance, acquiring actual pavement conditions and actual information of the maintenance measures by using the maintenance engineering implementation matrix, correcting the maintenance measure library by using the actual pavement conditions and the actual information of the maintenance measures, and enabling the corrected pavement maintenance measures to be more scientific and more scientific by linking the maintenance measure library established by depending on the traditional experience with the actual maintenance engineering and based on the real maintenance engineering data reverse auxiliary correction measure library, The method is reasonable and targeted, simple and feasible, and can provide a basis for optimizing the road maintenance decision precision.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic overall flow chart of a correction method for a road surface maintenance measure library according to an embodiment of the present invention;
fig. 2 is a schematic view of an overall structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In an embodiment of the present invention, a method for correcting a road surface maintenance measure library is provided, and fig. 1 is a schematic overall flow chart of the method for correcting a road surface maintenance measure library provided in the embodiment of the present invention, where the method includes: s101, determining maintenance measures corresponding to any surface layer type and any maintenance type corresponding to any surface layer type of a road surface, an initial road surface condition matrix applicable to each maintenance measure and initial information of each maintenance measure according to any surface layer type of the road surface and any maintenance type corresponding to any surface layer type, and constructing a maintenance measure library according to the initial information of the maintenance measures and the applicable initial road surface condition matrix;
the pavement surface layer type refers to type division of pavement surface layers due to different pavement surface materials, and comprises an asphalt pavement, a cement pavement and a gravel pavement. The maintenance type refers to maintenance projects of different scales, including daily maintenance, preventive maintenance and repair maintenance, which are implemented to improve the service level or service performance of the highway. Wherein, the repair and maintenance are divided into medium repair and maintenance and major repair and maintenance. And determining each maintenance type corresponding to any surface layer type of the road surface and each maintenance measure corresponding to each maintenance type according to a historical experience method, and determining the road surface condition suitable for each maintenance measure. And taking a matrix constructed by the road surface conditions to which all the maintenance measures are respectively applicable, which are determined according to historical experience, as an initial road surface condition matrix. Any one of the maintenance types for the face layer corresponds to one or more maintenance measures and an initial road condition matrix. The initial information of the maintenance measures may be determined based on historical experience, including the unit price information of each maintenance measure used and the service life information of the road surface after each maintenance measure is implemented. Any maintenance type of the surface layer type corresponds to a maintenance measure library, and the content in the maintenance measure library comprises initial information of the maintenance measures used by the maintenance type and an initial pavement condition matrix suitable for the maintenance measures. And the maintenance measure library is used for guiding the formulation of measures in the maintenance decision and is used for determining different maintenance types and the applicability of different maintenance measures.
S102, constructing a maintenance project implementation matrix according to project implementation data of each time of historical maintenance of each combined road surface sample and road surface condition information before each time of historical maintenance, and acquiring actual road surface conditions of each maintenance measure and actual information of each maintenance measure according to all maintenance project implementation matrices;
for example, when the combination is the asphalt pavement and the preventive maintenance type corresponding to the asphalt pavement, the historical engineering implementation data of each maintenance of each pavement sample is collected, wherein the surface layer type is the asphalt pavement, and the maintenance type is the preventive maintenance. And collecting engineering implementation data of any type of maintenance type of road surfaces and road surface condition information before each maintenance, which are carried out by all routes of traffic vehicles in all road surface sample maintenance ranges until now. The project implementation data comprises maintenance types, maintenance measures, implementation time, implementation road sections and maintenance unit prices. The implementation road section comprises a driving direction, a starting pile number and an end pile number. The pavement condition information is determined according to the maintenance type, for example, when the maintenance type is preventive maintenance, the pavement condition information comprises the original pavement diseases; when the maintenance type is repair maintenance, the road surface condition information includes the original road surface traffic volume. And constructing maintenance engineering implementation data according to the engineering implementation data of each historical maintenance of each road sample and the road condition information before each historical maintenance. And each maintenance of the pavement sample corresponds to one maintenance engineering implementation data. And acquiring the actual road surface condition of each maintenance measure and the actual information of each maintenance measure according to maintenance engineering implementation data and the maintenance measures used in each historical maintenance.
S103, correcting the initial road condition matrix applicable to each maintenance measure in the maintenance measure library by using the actual road condition of each maintenance measure, and correcting the initial information of each maintenance measure in the maintenance measure library by using the actual information of each maintenance measure.
The initial road condition matrix suitable for each maintenance measure in the maintenance measure library and the initial information of each maintenance measure are obtained according to historical experience, and are inaccurate. And correcting the initial road condition matrix applicable to each maintenance measure according to the actual road condition using each maintenance measure, and correcting the initial information of each maintenance measure according to the actual information of each maintenance measure, so that the corrected road maintenance measure library is more accurate. And the corrected maintenance measure library is used for carrying out auxiliary maintenance decision, so that the highway maintenance scheme and the maintenance budget are closer to the reality and tend to be accurate. Continuously collecting data and dynamically updating the road surface maintenance measure library. And continuously collecting and updating the engineering implementation matrix every year, and continuously updating and establishing various pavement maintenance measure libraries with different regional characteristics according to the engineering implementation matrix.
In this embodiment, a maintenance measure library is constructed according to the initial information of each maintenance measure in different surface layer types and different maintenance types and the initial road surface condition matrix suitable for each maintenance measure, constructing a maintenance engineering implementation matrix according to the engineering implementation data of each historical maintenance of the pavement sample and the pavement condition information before maintenance, obtaining the actual road surface condition of each maintenance measure and the actual information of each maintenance measure according to the maintenance engineering implementation matrix, correcting the maintenance measure library by using the actual road surface condition of each maintenance measure and the actual information of each maintenance measure, the maintenance measure library established by relying on the traditional experience is linked with the actual maintenance project, and the real maintenance project data is based on the reverse auxiliary correction measure library, so that the corrected maintenance measure is more scientific, reasonable and targeted, the method is simple and feasible, and a basis can be provided for optimizing the road maintenance decision precision.
On the basis of the foregoing embodiment, in this embodiment, the step of determining the initial road surface condition matrix to which each of the maintenance measures is applied specifically includes: when the maintenance type of the road surface is preventive maintenance, determining an initial road surface condition matrix applicable to each maintenance measure according to one or more of PQI upper limit value and lower limit value, PCI upper limit value and PCI lower limit value of the original road surface applicable to each maintenance measure and main diseases of the original road surface with preset number; and when the maintenance type of the road surface is repair maintenance, determining an initial road surface condition matrix applicable to each maintenance measure according to one or more of the PQI upper limit value and the lower limit value, the PCI upper limit value and the PCI lower limit value and the annual cumulative equivalent axle load upper limit value and the lower limit value of the original road surface applicable to each maintenance measure.
Specifically, when the road surface is subjected to preventive maintenance, the initial road surface condition matrix CO is constructedpinExpressed as:
wherein, PQIuppiIndicating applicable maintenance measures PREiThe upper limit value of original road surface PQI (road surface Quality Index), i is 1,2, …, n, n indicates the number of maintenance measures that can be used in preventive maintenance, PQIlopiIndicating applicable maintenance measures PREiPQI lower limit value, PCI of original road surfaceuppiIndicating applicable maintenance measures PREiPCI (Pavement Condition Index) upper limit value of original Pavement, PCIlopiIndicating applicable maintenance measures PREiOriginal road surface PCI lower limit value, ki1、ki2、ki3Indicating protective measures PREiThe number of the main defects of the original road surface is three, but the embodiment is not limited to three. The primary pavement diseases are only included in the initial pavement condition matrix when the type of curing is preventive curing.
When the pavement is repaired and maintained, the constructed initial pavement condition matrix COreinExpressed as:
wherein, PQIupriIndicating applicable maintenance measures REiThe upper limit of PQI on the original road surface, i is 1,2, …, n, n represents the number of maintenance measures that can be used in repair and maintenance, PQIloriIndicating applicable maintenance measures REiPQI lower limit value, PCI of original road surfaceupriIndicating applicable maintenance measures REiPCI upper limit value of original pavement, PCIloriIndicating applicable maintenance measures REiOriginal road surface PCI lower limit value of (NE)upriIndicating applicable maintenance measures REiUpper limit value of annual cumulative equivalent axle load, NEloriIndicate applicable nourishmentSafeguard measure REiThe lower limit value of the annual cumulative equivalent axle load of the original road surface.
On the basis of the above embodiments, the initial information of each maintenance measure in this embodiment includes one or more of an upper limit value and a lower limit value of the service life of the road surface after maintenance is performed using each maintenance measure, and an upper limit value and a lower limit value of the maintenance unit price using each maintenance measure.
Specifically, an initial information matrix of maintenance measures under each maintenance type is constructed on the basis of constructing an original pavement condition matrix. Under the condition of preventive maintenance, constructing an initial information matrix ME of maintenance measurespinComprises the following steps:
wherein, PuppiIndicating applicable maintenance measures PREiUpper limit of service life, PlopiIndicating applicable maintenance measures PREiLower limit of service life, VuppiIndicating applicable maintenance measures PREiLower limit value of maintenance unit price of (V)lopiIndicating applicable maintenance measures PREiLower limit of maintenance unit price of (1).
Under the condition of repairing maintenance, constructing an initial information matrix ME of maintenance measuresreinExpressed as:
wherein, PupriIndicating applicable maintenance measures REiUpper limit of service life of (1), in units of years, PloriIndicating applicable maintenance measures REiLower limit of service life, VupriIndicating applicable maintenance measures REiThe lower limit value of the maintenance unit price is unit per square meter and VloriIndicating applicable maintenance measures REiThe lower limit value of the maintenance unit price is unit per square meter.
On the basis of the foregoing embodiment, in this embodiment, the step of constructing a maintenance engineering implementation matrix according to the engineering implementation data of each time of historical maintenance of each road surface sample under the combination and the road surface condition information before each time of historical maintenance specifically includes: and when the maintenance type of the road surface is preventive maintenance, constructing a maintenance engineering implementation matrix according to one or more of time for implementing each maintenance measure in each historical maintenance of each road surface sample under the combination, a driving direction under the time, a maintenance unit price under the time, a road surface starting point pile number and a road surface finishing point pile number, and one or more of original road surface PQI, PCI and a preset number of main road surface diseases immediately before the time.
Specifically, under the condition of preventive maintenance, a maintenance engineering implementation matrix ENG is constructedPRE1Is shown as
Wherein, tpiIndicating maintenance measures PREiTo the nearest year, i is 1,2, …, m, m represents the total number of preventive maintenance, dirpiIndicating the implementation of maintenance measures PREiCorresponds to tpiRunning direction of down, xpi1Indicating the implementation of maintenance measures PREiCorresponds to tpiStarting point pile number of lower road surface, xpi2Indicating implementation of measures PREiCorresponds to tpiLower road surface end point pile number, PQIpiIndicating the implementation of maintenance measures PREiCorresponds to tpiFormer original road PQI, PCIpiIndicating the implementation of maintenance measures PREiCorresponds to tpiPrevious original road surface PCI, VpiIndicating implementation of measures PREiCorresponds to tpiMaintenance unit price of (k)pi1、kpi、kpi3Indicating maintenance measures PREiThree corresponding original pavement disease forms.
Under the condition of repairing and maintaining, constructing a maintenance engineering implementation matrix
Is shown as
Wherein w represents the total number of preventive maintenance, triIndicating maintenance measures REiThe implementation time of (1) is accurate to the year, month, dirriShowing implementation of maintenance measures REiCorresponds to triDirection of travel, xri1Showing implementation of maintenance measures REiCorresponds to triStarting point pile number of road surface, xriShowing implementation of maintenance measures REiCorresponds to triRoad surface end point pile number, PQIriShowing implementation of maintenance measures REiCorresponds to triFormer original road PQI, PCIriShowing implementation of maintenance measures REiCorresponds to triPrevious original road PCI, NEriShowing implementation of maintenance measures REiCorresponds to triAnnual cumulative equivalent axle load, V, of the original road surfaceriShowing implementation of maintenance measures REiCorresponds to triThe maintenance unit price of (1).
On the basis of the foregoing embodiment, in this embodiment, the step of constructing the maintenance engineering implementation matrix according to the engineering implementation data of each time of historical maintenance of each road surface sample under the combination and the road surface condition information before each time of historical maintenance further includes: acquiring various original road diseases in the road condition information before the historical maintenance for each time; if the area of each original pavement disease is taken as a calculation unit, calculating the disease area of each original pavement disease in a unit kilometer before each historical maintenance according to the preset weight of each original pavement disease, the area of each original pavement disease in each historical maintenance range and the length of each disease maintenance road section; if the length of each original pavement disease is taken as a calculation unit, calculating the disease area per kilometer of each original pavement disease before each historical maintenance according to the preset weight, length, influence width and road section length of each original pavement disease; and selecting a preset number of original pavement diseases with the largest disease area per kilometer from the disease areas per kilometer of the original pavement diseases before the historical maintenance for each time as main diseases of the original pavement before the historical maintenance for each time.
Specifically, table 1 shows preset weights of various original road defects, and the preset weights are determined according to the surface layer type, the damage type, and the damage degree of the original road. For the diseases with the calculation unit of area, the area of each disease in unit kilometer is calculated according to the following formula:
wherein: sunxiThe disease area of the ith original pavement disease before any historical curing is a unit kilometer, the unit is square meter and wiTaking values according to table 1 for preset weights of the original pavement diseases; siShowing the area of the ith disease in the range of the road section where any maintenance engineering is carried out; lseciThe length of the road section for implementing any maintenance project is shown.
For the diseases with the calculation unit of length, the area of each disease in unit kilometer is calculated according to the following formula:
wherein, WiShowing the influence width corresponding to the ith original pavement disease, wherein the unit is m; lkRepresents the length of the original pavement disease in the i < th > place, and the unit is meter m.
TABLE 1 weight table for different surface layer types of diseases and damages
On the basis of the foregoing embodiment, in this embodiment, the step of obtaining the actual road surface condition using each maintenance measure and the actual information of each maintenance measure according to all the maintenance engineering implementation matrices specifically includes: acquiring PQI maximum value and minimum value, PCI maximum value and minimum value of the original road surface and main diseases of the original road surface with preset number with highest occurrence frequency before all maintenance measures are implemented in all historical maintenance of all the road surface samples; acquiring the maximum maintenance unit price and the minimum maintenance unit price of all maintenance measures implemented by all the pavement samples in all the historical maintenance; calculating the time interval from the implementation of each maintenance measure to the next implementation of the maintenance measure according to the maintenance engineering implementation matrix; wherein each time of implementing each maintenance measure is overlapped with the road surface maintained by next implementing the maintenance measure; and taking the time interval as the service life of the road surface after the maintenance is carried out by using each maintenance measure, and acquiring the maximum value and the minimum value of the service life corresponding to each maintenance measure.
Specifically, a post-engineering evaluation library of various maintenance types of the pavement is established, and maintenance cycles and maintenance frequencies of different types of different maintenance measures are obtained. And collecting the post-engineering evaluation data of the measures corresponding to the maintenance types implemented on the road surface, wherein the post-engineering evaluation data comprises maintenance implementation frequency and road surface condition information, and constructing a post-engineering evaluation library of different measures of different maintenance types of the road surface. Suppose a road segment is at tp1Year and month dirp1Oriented to perform PRE in preventive maintenance1Measure that the starting point and the end point of the implementation are x respectivelyp11And xp12. And continuously tracking and collecting road surface condition information of the road section after maintenance until next maintenance engineering is implemented. Assuming that the time for next maintenance of the road section or the road section with the overlap is tpn1Direction of execution dirp1The starting point and the ending point are respectively xpn11And xpn12. The road surface condition information of the two times of maintenance forms a road surface condition evaluation matrix which is expressed as
Frequency of maintenance of the road section
One of the samples of the tracking service life taken as the measure is recorded as Npre1. The tracking service life refers to the service life of a measure which is reversely deduced based on the real maintenance engineering observation data.
And repeatedly acquiring post-maintenance evaluation data of various maintenance measures of different maintenance types, summarizing the pre-maintenance and post-maintenance data of the same measure, and constructing a measure sample analysis library. For preventive maintenance, measure PREiFor example, a sample analysis library ANA was constructedpiIs shown as
From ANApiSelecting extreme value PQI in original road surface condition informationmaxi、PQImini、PCImaxi、PCIminiComparing the information with the upper and lower limit values of the original road surface condition information of the maintenance measure in the maintenance measure library, and comparing the information with the { PQI }maxi，PQIuppiChoose the larger value as the measure PREiCorrected original road surface PQI upper limit PQI'uppiFrom { PQImini，PQIlopiSelect a smaller value as the measure PREiCorrected original road surface PQI lower limit PQI'lopiFrom { PCImaxi，PCIuppiChoose the larger value as the measure PREiCorrected original road surface PCI upper limit PCI'uppiFrom { PCImini，PCIlopiSelect a smaller value as the measure PREiCorrected original road surface PCI lower limit PCI'lopi。
Disease matrix from original pavement
Sorting according to disease forms and disease areas, and selecting three disease forms with high occurrence frequency and large disease areas as measures PREiCorrected measure PREiCorresponding primary road surface main disease k'i1、k′i2And k'i3。
From implementation of ith maintenanceOriginal pavement service life vector after measure
In the formula (I), the maximum value is selected as the service life upper limit P 'of the ith maintenance measure after correction'uppiFrom which the minimum value is selected as the measure PREiCorrected lower limit of service life P'lopiWherein n represents the total number of times the ith maintenance measure is implemented.
Maintenance unit price vector from implementation of ith maintenance measure
The maximum value is selected as the maintenance unit price upper limit V 'of the measure after correction'uppiFrom which the minimum value is selected as the measure PREiMaintenance unit price lower limit V 'by means of measures after correction'lopi。
Thereby constituting a measure PREiCorrected maintenance action vector AAPREiIs composed of
For repairing and maintenance, measure REiFor example, constructing a sample analysis library is represented as
From ANAriSelecting original road surface technical condition extreme value PQImaxi、PQImini、PCImaxi、PQIminiComparing the initial maintenance measures with the upper and lower limit values of the original road surface condition to which the maintenance measures are applied in the initial measure library, and calculating the PQImaxi，PQIupriChoose the larger value as the measure REiCorrected original road surface PQI upper limit PQI'upr1From { PQImini，PQIloriSelect the smaller value as the measure REiCorrected original road surface PQI lower limit PQI'loriFrom { PCImaxi，PCIupriChoose the larger value as the measureREiCorrected original road surface PCI upper limit PCI'upr1From { PCImini，PCIloriThe smaller value is selected as the maintenance measure REiCorrected original road surface PCI lower limit PCI'lori。
From the ith maintenance measure, the annual accumulated equivalent axle load vector of the original road surface
The maximum value is selected as the maintenance measure REiCorrected annual cumulative equivalent on-axis upper limit NE'upriAnnual cumulative equivalent axle load vector from the original road surface
The minimum value is selected as the maintenance measure REiAnnual equivalent on-board lower limit NE 'of corrected measure'lori。
From the implementation of maintenance measures REiService life vector of back original pavement
The maximum value is selected as the service life upper limit P 'of the measure after correction'upriService life vector from original road surface
In the selection of the minimum value as measure REiLower limit of service life of measures P 'after correction'lori。
From the implementation of maintenance measures REiOriginal pavement maintenance unit price vector
The maximum value is selected as the maintenance unit price upper limit V 'of the measure after correction'uppiService life vector from original road surface
In the selection of the minimum value as measure REiMaintenance unit price lower limit V 'by means of measures after correction'lori。
Thereby constituting a measure REiCorrected maintenance action vector AAREiIs composed of
For example, a maintenance unit manages an expressway with a route number of G1, a start-point stake number of K20+000, and an end-point stake number of K55+000, and starts to drive in 2013 for 5 months, taking preventive maintenance as an example, a road surface preventive maintenance measure library correction example is performed based on maintenance engineering data.
1. Establishing a pavement maintenance initial measure library
The whole route is an asphalt pavement, and the local common preventive maintenance measures are micro-surfacing and synchronous thin-layer overlay.
Constructing a road surface condition matrix CO for preventing and maintaining road surfacepinIs shown as
On the basis of constructing the condition matrix of the original pavement, two measure libraries for preventing maintenance measures are constructed. Constructing a matrix representation of a road surface preventive maintenance measure library
2. Building a pavement preventive maintenance engineering implementation library
Collecting the data of preventive maintenance engineering from G1 self-passing vehicle to the end of 2018, accumulating and implementing the preventive maintenance for 4 times, wherein the data of the maintenance engineering is shown in Table 2, the data of the diseases of the original road surface is shown in Table 3, the data of the road conditions before maintenance is shown in Table 4,
TABLE 2 maintenance engineering data
TABLE 3 original pavement disease data
Table 4 road condition data before maintenance
As can be seen from table 3, the calculated unit of cracking is area, the area of mild cracking in the first preventive maintenance is 35, the weight is 0.6, and the length of the road surface in the first preventive maintenance is (750 + 500)/1000 ═ 0.25 km, as can be seen from the start point pile number and the end point pile number in table 2 in the first preventive maintenance. According to the calculation formula, the unit kilometer area of the mild cracking in the first prevention and maintenance is 35 × 0.6/0.25-84. The calculation unit of the longitudinal cracks is length, the length of the slight longitudinal cracks in the first preventive maintenance is 474, the influence width is 0.2, the weight is 0.6, the length of the road surface to be maintained is 0.25 kilometer, and the unit kilometer area of the slight longitudinal cracks in the first preventive maintenance is 474 × 0.6 × 0.2/0.25 ═ 227.5 according to the formula. And calculating by the same method to obtain the unit kilometer area of each disease in each prevention and maintenance. And taking the disease with the largest unit kilometer area in each prevention and maintenance as the main disease of the original pavement corresponding to the prevention and maintenance. The main disease pattern of the original road surface corresponding to four times of preventive maintenance is shown in table 5.
TABLE 5 Primary road surface diseases
| Serial number | Three main diseases of original pavement | Maintenance measures |
| 1 | Slight longitudinal seam, slight transverse seam and slight pit slot | Micro-surfacing |
| 2 | Minor longitudinal seam, minor transverse seam, repair | Micro-surfacing |
| 3 | Slight longitudinal seam, severe longitudinal seam and slight transverse seam | Synchronous thin layer cover |
| 4 | Slight transverse seam, severe transverse seam and slight pit | Synchronous thin layer cover |
3. Post-evaluation library for pavement preventive maintenance engineering
After the maintenance projects are implemented, road condition data of each preventive maintenance project are continuously collected every year, and the road condition data of each year of the four maintenance projects are shown in tables 6 to 7.
TABLE 6 evaluation data after micro-surfacing
TABLE 7 evaluation data after synchronous thin-layer overlay measures
As shown in table 2, the pile number of No. 1 overlaps with the pile number of No. 4, indicating that maintenance is performed again after the operation of the link has elapsed. Service life N at the micro-meterMicro-surfacing2.25 years old.
4. Constructing a measure sample analysis library and correcting an initial measure library
For micro-surfacing, construct the sample analysis library ANAp1Is shown as
Mixing ANAp1And road surface condition matrix ME for preventing and maintaining original road surfacepinThe parameters of each measure library are compared, because 87.8E [85,90 ]]84.2 do not belong to [85,90 ]]Therefore, the upper and lower limits of PQI and the upper PCI limit of the original road surface condition measured at the micro-meter are not corrected, and the lower PCI limit is corrected.
Mixing ANAp1And road surface preventive maintenance measure library matrix MEpinThe three main road surface diseases are compared, the main disease forms of 'slight longitudinal joint and slight transverse joint' are consistent, and as shown in table 3, the disease area per kilometer of the slight pit slot is larger than the disease area per kilometer for repairing, so that the slight pit slot is selected as the third main disease form, and the three main disease forms of the original road surface suitable for the micro-surfacing are corrected into the slight longitudinal joint, the slight transverse joint and the slight pit slot.
Mixing ANAp1And road surface preventive maintenance measure library matrix MEpinThe upper and lower service life limits of (2) are compared, and the tracking service life of the micro-meter is 2.25 epsilon [2,4 ]]The life span interval at the micro-meter is not corrected.
Mixing ANAp1And road surface preventive maintenance measure library matrix MEpinThe curing unit price of (2) is compared to determine that the curing unit price at the micro-surface is 23E [18,23 ]]、22∈[18,23]The maintenance unit price interval at the micro-scale is not corrected.
From this, a corrected maintenance measure vector AA at the micro-meter is formedPRE1I.e., {85,90,85,90, slight longitudinal seams, slight transverse seams, slight potholes, 2,4,18,23 }.
5. Continuously collecting data and dynamically updating road maintenance measure library
No new maintenance engineering exists in the four preventive maintenance engineering implementation, and a maintenance measure library does not need to be updated.
The embodiment provides an electronic device, and fig. 2 is a schematic view of an overall structure of the electronic device according to the embodiment of the present invention, where the electronic device includes: at least one processor 201, at least one memory 202, and a bus 203; wherein,
the processor 201 and the memory 202 communicate with each other through the bus 203;
the memory 202 stores program instructions executable by the processor 201, and the processor calls the program instructions to perform the methods provided by the above method embodiments, for example, the method includes: determining maintenance measures corresponding to any surface layer type and any maintenance type of the pavement, an initial pavement condition matrix applicable to the maintenance measures and the initial information of the maintenance measures, and constructing a maintenance measure library according to the initial information of the maintenance measures and the applicable initial pavement condition matrix; constructing a maintenance engineering implementation matrix according to the engineering implementation data of each time of historical maintenance of each pavement sample under the combination and the pavement condition information before each time of historical maintenance, and acquiring the actual pavement condition of each maintenance measure and the actual information of each maintenance measure according to all the maintenance engineering implementation matrices; and correcting the maintenance measure library by using the actual road surface condition of each maintenance measure and the actual information of each maintenance measure.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above method embodiments, for example, including: determining maintenance measures corresponding to any surface layer type and any maintenance type of the pavement, an initial pavement condition matrix applicable to the maintenance measures and the initial information of the maintenance measures, and constructing a maintenance measure library according to the initial information of the maintenance measures and the applicable initial pavement condition matrix; constructing a maintenance engineering implementation matrix according to the engineering implementation data of each time of historical maintenance of each pavement sample under the combination and the pavement condition information before each time of historical maintenance, and acquiring the actual pavement condition of each maintenance measure and the actual information of each maintenance measure according to all the maintenance engineering implementation matrices; and correcting the maintenance measure library by using the actual road surface condition of each maintenance measure and the actual information of each maintenance measure.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A method for correcting a pavement maintenance measure library, comprising:
determining maintenance measures corresponding to any surface layer type and any maintenance type of the pavement, an initial pavement condition matrix applicable to the maintenance measures and the initial information of the maintenance measures, and constructing a maintenance measure library according to the initial information of the maintenance measures and the applicable initial pavement condition matrix;
constructing a maintenance engineering implementation matrix according to the engineering implementation data of each time of historical maintenance of each pavement sample under the combination and the pavement condition information before each time of historical maintenance, and acquiring the actual pavement condition of each maintenance measure and the actual information of each maintenance measure according to all the maintenance engineering implementation matrices;
correcting an initial road condition matrix applicable to each maintenance measure in the maintenance measure library by using the actual road condition of each maintenance measure, and correcting initial information of each maintenance measure in the maintenance measure library by using actual information of each maintenance measure;
the step of determining the initial road condition matrix applicable to each maintenance measure specifically includes:
when the maintenance type of the road surface is preventive maintenance, determining an initial road surface condition matrix applicable to each maintenance measure according to one or more of PQI upper limit value and lower limit value, PCI upper limit value and PCI lower limit value of the original road surface applicable to each maintenance measure and main diseases of the original road surface with preset number;
and when the maintenance type of the road surface is repair maintenance, determining an initial road surface condition matrix applicable to each maintenance measure according to one or more of the PQI upper limit value and the lower limit value, the PCI upper limit value and the PCI lower limit value and the annual cumulative equivalent axle load upper limit value and the lower limit value of the original road surface applicable to each maintenance measure.
2. The method of claim 1, wherein the face layer type is asphalt, cement, or gravel;
the curing type comprises one or more of daily curing, preventive curing and repair curing.
3. The method of claim 1, wherein the initial information for each of the maintenance measures includes one or more of an upper limit value and a lower limit value of a service life of the road surface after maintenance using each of the maintenance measures, and an upper limit value and a lower limit value of a maintenance unit price using each of the maintenance measures.
4. The method according to claim 1, wherein the step of constructing a maintenance engineering implementation matrix according to the engineering implementation data of each historical maintenance of each pavement sample and the pavement condition information before each historical maintenance under the combination specifically comprises the following steps:
and when the maintenance type of the road surface is preventive maintenance, constructing a maintenance engineering implementation matrix according to one or more of time for implementing each maintenance measure in each historical maintenance of each road surface sample under the combination, a driving direction under the time, a maintenance unit price under the time, a road surface starting point pile number and a road surface finishing point pile number, and one or more of original road surface PQI, PCI and a preset number of main road surface diseases immediately before the time.
5. The method according to claim 4, wherein the step of constructing a maintenance engineering implementation matrix according to the engineering implementation data of each historical maintenance and the road surface condition information before each historical maintenance of each combined road surface sample further comprises the following steps:
acquiring various original road diseases in the road condition information before the historical maintenance for each time;
if the area of each original pavement disease is taken as a calculation unit, calculating the disease area of each original pavement disease in a unit kilometer before each historical maintenance according to the preset weight of each original pavement disease, the area of each original pavement disease in each historical maintenance range and the length of each disease maintenance road section;
if the length of each original pavement disease is taken as a calculation unit, calculating the disease area per kilometer of each original pavement disease before each historical maintenance according to the preset weight, length, influence width and road section length of each original pavement disease;
and selecting a preset number of original pavement diseases with the largest disease area per kilometer from the disease areas per kilometer of the original pavement diseases before the historical maintenance for each time as main diseases of the original pavement before the historical maintenance for each time.
6. The method according to claim 5, wherein if each original road surface defect is calculated by taking the area as a unit, calculating the area of each original road surface defect per kilometer before each historical maintenance according to the preset weight of each original road surface defect, the area of each original road surface defect in each historical maintenance range and the length of a road section for each original road surface defect maintenance by the following formula:
wherein S isunxiThe disease area per kilometer of the ith original pavement disease before any historical maintenance, wiIs the preset weight, s, of the ith original pavement diseaseiIs the area of the ith original pavement disease in any historical maintenance range, iseciRoad segment length for any historical maintenance；
If the length of each original pavement disease is taken as a calculation unit, calculating the disease area per kilometer of each original pavement disease before each historical maintenance according to the preset weight, length, influence width and road section length of each original pavement disease by the following formula:
wherein, WiThe influence width of the ith original pavement disease,/iThe length of the ith original pavement disease.
7. The method of claim 4, wherein the step of obtaining actual road surface conditions using each of the maintenance measures and actual information of each of the maintenance measures from all of the maintenance project implementation matrices specifically comprises:
acquiring PQI maximum value and minimum value, PCI maximum value and minimum value of the original road surface and main diseases of the original road surface with preset number with highest occurrence frequency before all maintenance measures are implemented in all historical maintenance of all the road surface samples;
acquiring the maximum maintenance unit price and the minimum maintenance unit price of all maintenance measures implemented by all the pavement samples in all the historical maintenance;
calculating the time interval from the implementation of each maintenance measure to the next implementation of the maintenance measure according to the maintenance engineering implementation matrix; wherein each time of implementing each maintenance measure is overlapped with the road surface maintained by next implementing the maintenance measure;
and taking the time interval as the service life of the road surface after the maintenance is carried out by using each maintenance measure, and acquiring the maximum value and the minimum value of the service life corresponding to each maintenance measure.
8. The method of claim 7, wherein the step of correcting the initial road condition matrix applicable to each maintenance measure in the maintenance measure library using the actual road condition of each maintenance measure comprises the steps of:
taking the maximum value of the original road surface PQI before each maintenance measure is implemented and the maximum value of the original road surface PQI upper limit value which is applicable to each maintenance measure in the initial road surface condition matrix as the original road surface PQI upper limit value which is corrected by applying each maintenance measure;
taking the minimum value of the original road surface PQI before each maintenance measure is implemented and the minimum value of the original road surface PQI lower limit value which is applicable to each maintenance measure in the initial road surface condition matrix as the corrected original road surface PQI lower limit value which is applicable to each maintenance measure;
taking the maximum value of the original road surface PCI maximum value before each maintenance measure is implemented and the original road surface PCI upper limit value applicable to each maintenance measure in the initial road surface condition matrix as the original road surface PCI upper limit value after each maintenance measure is applied;
taking the minimum value of the original road surface PCI minimum value before each maintenance measure is implemented and the original road surface PCI lower limit value which is applicable to each maintenance measure in the initial road surface condition matrix as the original road surface PCI lower limit value which is corrected by applying each maintenance measure;
taking the preset number of main diseases of the original pavement with the highest frequency before each maintenance measure is implemented as the main diseases of the original pavement corrected by each maintenance measure;
taking the maximum value of the maximum maintenance unit price for implementing each maintenance measure and the maximum value of the maintenance unit price upper limit value of each maintenance measure used in the initial road surface condition matrix as the maintenance unit price upper limit value after each maintenance measure is corrected;
taking the minimum value of the minimum maintenance unit price for implementing each maintenance measure and the minimum value of the maintenance unit price for using each maintenance measure in the initial road surface condition matrix as the corrected maintenance unit price lower limit value of each maintenance measure;
taking the maximum value of the service life of the road surface after the maintenance measures are used and the maximum value of the service life upper limit value of the road surface after the maintenance measures are used in the initial road surface condition matrix as the service life upper limit value after the maintenance measures are corrected;
and taking the minimum value of the service life of the road surface after each maintenance measure is used and the minimum value of the service life lower limit value of the road surface after each maintenance measure is used in the initial road surface condition matrix as the service life lower limit value after each maintenance measure is corrected.
9. An electronic device, comprising:
at least one processor, at least one memory, and a bus; wherein,
the processor and the memory complete mutual communication through the bus;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 8.
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