A method and system for improving the processing of skid resistance data for asphalt concrete pavements

Abstract

The application discloses a kind of processing method and system for improving asphalt concrete pavement skid resistance data, wherein the processing method for improving asphalt concrete pavement skid resistance data includes the following steps: obtaining the skid resistance data of improving asphalt concrete pavement;According to the skid resistance data of improving asphalt concrete pavement obtained, determine a plurality of storage chains;Judge the security of a plurality of storage chains;If the security of a plurality of storage chains is passed, the skid resistance data of improving asphalt concrete pavement is stored in a plurality of storage chains.The application forms a targeted storage chain in the process of improving the skid resistance data of asphalt concrete pavement, which can be used for skid resistance data storage processing, and can accurately retrieve in subsequent skid resistance data retrieval, providing reliability guarantee for subsequent pavement maintenance or pavement analysis.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing, in particular, to a method and system for processing asphalt concrete pavement anti-skid data. BACKGROUND

[0002] With the rapid development of the transportation industry, asphalt concrete pavement is widely used in highway and urban road construction due to its good comfort, durability and convenient construction. Pavement anti-skid performance is one of the key factors to ensure driving safety. In the prior art, various schemes for improving the anti-skid performance of asphalt concrete pavement have been proposed, and the anti-skid analysis and optimization can provide key ideas based on the anti-skid improvement scheme of asphalt concrete pavement. The anti-skid data of asphalt concrete pavement is of great significance to the quality control, maintenance management, pavement analysis and traffic safety protection of pavement engineering. However, the current processing method for anti-skid data lacks pertinence, which may result in the loss of the data during processing and the inability to retrieve it, thereby preventing further anti-skid optimization.

[0003] Therefore, how to provide a method for processing asphalt concrete pavement anti-skid data with pertinence has become a problem to be solved in the field. SUMMARY

[0004] To solve the above problems, the present application provides a method for processing asphalt concrete pavement anti-skid data, comprising the following steps: obtaining anti-skid data of asphalt concrete pavement; determining a plurality of storage chains according to the obtained anti-skid data of asphalt concrete pavement; judging the security of the plurality of storage chains; if the security of the plurality of storage chains is passed, storing the anti-skid data of asphalt concrete pavement in the plurality of storage chains.

[0005] The method for processing asphalt concrete pavement anti-skid data as described above, wherein if the security of one or more storage chains is not passed, the one or more storage chains are re-determined until the security of the one or more storage chains is passed.

[0006] The method for processing asphalt concrete pavement anti-skid data as described above, wherein the anti-skid data of asphalt concrete pavement includes the type of high anti-skid performance asphalt used in each pavement construction process, the type of anti-skid agent added, and the controlled construction temperature parameter.

[0007] The method for processing asphalt concrete pavement anti-skid data as described above, wherein determining a plurality of storage chains comprises the following sub-steps: determining a plurality of virtual nodes; and fragmenting the plurality of virtual nodes to form a plurality of storage chains.

[0008] The method for processing anti-skid data of asphalt concrete pavement as described above, wherein each piece contains one or more virtual nodes, and the one or more virtual nodes contained in each piece store the anti-skid data of one asphalt concrete pavement.

[0009] The processing system for processing anti-skid data of asphalt concrete pavement comprises an anti-skid data acquisition unit, a storage chain determination unit, a security judgment unit and a storage unit.

[0010] The method for processing anti-skid data of asphalt concrete pavement as described above, wherein the security judgment unit re-determines the one or more storage chains until the security of the one or more storage chains is passed if the security of the one or more storage chains is not passed.

[0011] The method for processing anti-skid data of asphalt concrete pavement as described above, wherein the anti-skid data of asphalt concrete pavement acquired by the anti-skid data acquisition unit comprises the type of high anti-skid performance asphalt, the type of anti-skid agent added and the construction temperature parameter controlled in the construction process of each pavement.

[0012] The method for processing anti-skid data of asphalt concrete pavement as described above, wherein the storage chain determination unit determines the plurality of storage chains by the following sub-steps: determining a plurality of virtual nodes; and dividing the plurality of virtual nodes to form the plurality of storage chains.

[0013] The method for processing anti-skid data of asphalt concrete pavement as described above, wherein each piece contains one or more virtual nodes in the storage chain determination unit, and the one or more virtual nodes contained in each piece store the anti-skid data of one asphalt concrete pavement.

[0014] The present application has the following beneficial effects:

[0015] In the processing of the anti-skid data of asphalt concrete pavement, the present application forms a storage chain for targeted processing, which can be used for storage and processing of anti-skid data, and each asphalt concrete pavement is distinguished, and each storage chain stores the anti-skid data of different asphalt concrete pavements, so that the anti-skid data can be accurately retrieved in subsequent retrieval, providing reliable guarantee for subsequent pavement maintenance or pavement analysis. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only represent some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0017] Figure 1 is a flowchart of a processing method for improving the skid resistance data of asphalt concrete pavement provided by the embodiments of the present application;

[0018] Figure 2 is a schematic diagram of the internal structure of a processing system for improving the skid resistance data of asphalt concrete pavement according to the embodiments of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0020] Embodiment one

[0021] As shown in Figure 1 , the present embodiment provides a processing method for improving the skid resistance data of asphalt concrete pavement, which specifically includes the following steps:

[0022] Step S1: Obtain the skid resistance data of the asphalt concrete pavement.

[0023] The skid resistance performance of the asphalt concrete pavement is crucial to ensure driving safety. With the increase of traffic flow and the increase of vehicle speed, improving the skid resistance performance of the pavement becomes a key task of road construction and maintenance. At present, the ways to improve the asphalt concrete pavement include selecting more optimized materials such as high skid resistance asphalt, adding skid resistance agents, controlling construction temperature, etc. For different pavements, the types of high skid resistance asphalt selected, the types of skid resistance agents added, and the construction temperatures adopted are different. The present embodiment mainly stores and processes the above parameters, which facilitates the retrieval of the above parameters in the later maintenance, so as to obtain a better maintenance method according to the above parameters, or obtain the experience of how to better improve the skid resistance of the asphalt concrete pavement next time according to the above parameters. For example, different types of high skid resistance asphalt and different construction temperatures are selected in the next construction, so as to achieve better skid resistance effect of the pavement.

[0024] The anti-skid data of the asphalt concrete pavement is improved, which includes the type of high anti-skid performance asphalt used in each pavement construction process, the type of anti-skid agent added, and the controlled construction temperature and other parameters.

[0025] Step S2: According to the obtained anti-skid data of the asphalt concrete pavement, a plurality of storage chains are determined.

[0026] The determination of the plurality of storage chains includes the following sub-steps:

[0027] Step S21: A plurality of virtual nodes are determined.

[0028] The plurality of virtual nodes are selected as media for storing the anti-skid data of the asphalt concrete pavement.

[0029] Step S22: The plurality of virtual nodes are fragmented to form a plurality of storage chains.

[0030] The plurality of virtual nodes are fragmented to form a plurality of fragments. Each fragment contains one or more virtual nodes, and each fragment contains one or more virtual nodes for storing the anti-skid data of the corresponding asphalt concrete pavement.

[0031] During the fragmentation of the plurality of virtual nodes, the virtual nodes with a communication delay lower than a specified threshold are divided into nodes within a fragment. Specifically, in order to improve the efficiency of fragmentation, a plurality of virtual nodes are first selected as master nodes within each fragment. After the master nodes are determined, virtual nodes with a communication delay lower than a specified threshold are selected as nodes within the same fragment as the master nodes.

[0032] As an example, virtual node 1 is selected as the master node of fragment A, virtual node 2 is selected as the master node of fragment B, and virtual node 3 is selected as the master node of fragment C. After the master nodes are determined, virtual nodes with a communication delay lower than a specified threshold are selected and connected as virtual nodes within fragments A-C, respectively.

[0033] The specified threshold is set by the staff in advance according to actual needs, and the specific value is not limited here.

[0034] The one or more virtual nodes in each fragment are connected as a storage chain, thereby forming a plurality of storage chains according to the number of fragments, and each storage chain stores the anti-skid data of the corresponding asphalt concrete pavement.

[0035] Further, the present embodiment also includes judging whether the storage chain needs to be expanded. Specifically, it is judged whether the number of virtual nodes within each fragment needs to be reduced.

[0036] If the total capacity of the virtual nodes in each slice is less than the anti-skid data of the asphalt concrete pavement that needs to be stored, the virtual nodes are increased.

[0037] Further, for the storage chain including only one virtual node, the multiple virtual nodes are increased to ensure the reliability of subsequent data storage.

[0038] Step S3: judging the security of the multiple storage chains.

[0039] The judging of the security of the multiple storage chains includes the following sub-steps:

[0040] Step S31: determining the security index of each storage chain and the security index value.

[0041] The security index includes the storage space of each slice (i.e. each storage chain), the computing capacity of each slice and the internal communication latency of each slice.

[0042] The security index value includes the average value of the storage space of each slice, the average value of the computing capacity of each slice and the average value of the internal communication latency of each slice, which are respectively represented as:

[0043]

[0044] wherein represents the average value of the storage space of the rth slice, represents the average value of the computing capacity of the rth slice, represents the average value of the internal communication latency of the rth slice, n represents the number of virtual nodes in the rth slice, e represents the total amount of edges between any two virtual nodes in the rth slice, C i represents the computing capacity of the ith virtual node, M i represents the storage space of the ith virtual node, D j represents the communication time between two virtual nodes, i and j represent natural numbers.

[0045] Step S32: normalizing the security index value of each storage chain.

[0046] The normalization of the security index value is represented as:

[0047] X′ rm = [X rm -min{X 1m ,...,X sm}] / [max{X 1m ,...,X sm}-min{X 1m ,...,X sm}]

[0048] X' rm denotes X rm normalized result, X rm denotes the value of the mth safety index of the rth slice, S denotes the number of slices.

[0049] Step S33: determining the safety index weight value.

[0050] determining the weight value ω rm of the mth safety index of the rth slice.

[0051]

[0052] Step S34: determining the comprehensive score of each slice according to the safety index weight value.

[0053] wherein the comprehensive score Q r is specifically denoted as:

[0054]

[0055] If the comprehensive score is greater than the specified threshold value, it is considered that the security of the storage chain passes, and the security of all storage chains passes by performing step S4. Otherwise, the storage chain whose security does not pass is re-determined, that is, the virtual nodes in the storage chain are re-selected until the security of the storage chain passes.

[0056] Step S4: storing the anti-skid data of the asphalt concrete pavement in multiple storage chains.

[0057] Wherein the anti-skid data corresponding to one asphalt concrete pavement can be stored in one storage chain, and the anti-skid data in the storage chain can be called to provide maintenance and repair ideas when subsequent pavement maintenance or repair is needed.

[0058] Embodiment two

[0059] As Figure 2 shown, a processing system for anti-skid data of an asphalt concrete pavement provided by the embodiment of the application, specifically comprising: an anti-skid data acquisition unit 210, a storage chain determination unit 220, a security judgment unit 230, and a storage unit 240.

[0060] The anti-skid data acquisition unit 210 is configured to acquire the anti-skid data of the asphalt concrete pavement.

[0061] The anti-skid performance of the asphalt concrete pavement is crucial for ensuring driving safety. With the increase of traffic flow and the increase of vehicle speed, improving the anti-skid performance of the pavement becomes a key task for road construction and maintenance. At present, the ways to improve the asphalt concrete pavement include selecting more optimized materials such as high anti-skid performance asphalt, adding anti-skid agents, controlling construction temperature, etc. For different pavements, the types of high anti-skid performance asphalt selected, the types of anti-skid agents added, and the construction temperatures adopted are different. The embodiment mainly stores and processes the above parameters, which facilitates the retrieval of the above parameters in the later maintenance, so that a better maintenance method can be obtained according to the above parameters, or the experience of how to better improve the anti-skid performance of the asphalt concrete pavement next time can be obtained according to the above parameters. For example, different types of high anti-skid performance asphalt and different construction temperatures are selected in the next construction, so that a better anti-skid effect of the pavement can be achieved.

[0062] The anti-skid data of the asphalt concrete pavement includes the types of high anti-skid performance asphalt used in the construction process of each pavement, the types of anti-skid agents added, and the construction temperature controlled, etc.

[0063] The storage chain determination unit 220 is configured to determine a plurality of storage chains according to the anti-skid data of the asphalt concrete pavement obtained.

[0064] The determination of the plurality of storage chains includes the following sub-steps:

[0065] Step T1: determining a plurality of virtual nodes.

[0066] The plurality of virtual nodes are selected as the media for storing the anti-skid data of the asphalt concrete pavement.

[0067] Step T2: fragmenting the plurality of virtual nodes to form a plurality of storage chains.

[0068] The plurality of virtual nodes are fragmented to form a plurality of fragments. Each fragment contains one or more virtual nodes, and the one or more virtual nodes contained in each fragment are used to store the anti-skid data of the corresponding asphalt concrete pavement.

[0069] In the process of fragmenting the plurality of virtual nodes, the virtual nodes with a communication delay lower than a specified threshold are divided into nodes within one fragment. Specifically, in order to improve the efficiency of fragmentation, a plurality of virtual nodes are first selected as the master nodes within each fragment. After the master nodes are determined, the virtual nodes with a communication delay lower than a specified threshold from the master nodes are selected as the nodes within the same fragment as the master nodes.

[0070] As an example, the virtual node 1 is selected as the master node of the slice A, the virtual node 2 is selected as the master node of the slice B, and the virtual node 3 is selected as the master node of the slice C. After determining the master nodes, the virtual nodes with the communication latency lower than a specified threshold value are selected as the virtual nodes in the slices A-C, respectively.

[0071] The specified threshold value is set by the staff in advance according to the actual demand, and the specific value is not limited here.

[0072] One or more virtual nodes in each slice are connected to form a storage chain, thereby forming multiple storage chains according to the number of slices, and each storage chain stores a piece of anti-skid data for improving the asphalt concrete pavement corresponding to the road surface.

[0073] Further, the embodiment also includes judging whether the storage chain needs to be expanded. Specifically, whether the number of virtual nodes in each slice needs to be reduced is judged.

[0074] The total capacity of the virtual nodes in each slice is compared with the anti-skid data for improving the asphalt concrete pavement that needs to be stored. If the total capacity of the virtual nodes is less than the anti-skid data for improving the asphalt concrete pavement that needs to be stored, the virtual nodes are increased.

[0075] Further, for the storage chain including only one virtual node, multiple virtual nodes are increased, thereby ensuring the reliability of subsequent data storage.

[0076] The security judging unit 230 is configured to judge the security of the multiple storage chains.

[0077] The security judging unit 230 performs the following sub-steps:

[0078] Step U1: determining the security index of each storage chain and the security index value.

[0079] The security index includes the storage space of each slice (i.e. each storage chain), the computing capability of each slice, and the internal communication latency of each slice.

[0080] The security index value includes the average value of the storage space of each slice, the average value of the computing capability of each slice, and the average value of the internal communication latency of each slice, which are respectively represented as:

[0081]

[0082] wherein represents the average value of the storage space of the rth slice, represents the average value of the computing capability of the rth slice, denotes the average value of the intra-chip communication delay of the rth chip, n denotes the number of virtual nodes in the rth chip, e denotes the total number of edges between any two virtual nodes in the rth chip, C i denotes the computing capacity of the ith virtual node, M i denotes the storage space of the ith virtual node, D j denotes the communication time between two virtual nodes, i and j represent natural numbers.

[0083] Step U2: Normalizing the security indicator value of each storage chain.

[0084] where the normalization of the security indicator value is represented as:

[0085] X′ rm = [X rm -min{X 1m ,...,X sm}] / [max{X 1m ,...,X sm}-min{X 1m ,...,X sm}]

[0086] X′ rm denotes the normalized result of X rm , X rm denotes the value of the mth security indicator of the rth chip, S denotes the number of chips.

[0087] Step U3: Determine the security indicator weight value.

[0088] The weight value ω rm of the mth security indicator of the rth chip is determined as:

[0089]

[0090] Step U4: Determine the comprehensive score of each chip according to the security indicator weight value.

[0091] where the comprehensive score Q r is specifically represented as:

[0092]

[0093] If the comprehensive score is greater than a specified threshold value, it is considered that the security of the storage chain passes, and the security of all storage chains is passed by executing the storage unit 240. Otherwise, the storage chain whose security fails is re-determined, that is, the virtual nodes in the storage chain are re-selected, until the security of the storage chain passes, and the storage unit 240 is executed.

[0094] The storage unit 240 is configured to store the anti-skid data for improving the asphalt concrete pavement in a plurality of storage chains.

[0095] The anti-skid data corresponding to one asphalt concrete pavement can be stored in a storage chain, and the anti-skid data in the storage chain can be called to provide maintenance and repair ideas when subsequent pavement maintenance or repair is needed.

[0096] The application further provides a computer storage medium storing computer instructions, which are called to execute the processing method for improving the anti-skid data of the asphalt concrete pavement.

[0097] The disclosed embodiment provides a computer readable storage medium storing computer program instructions, which, when running on a computer, enable the computer to execute the processing method for improving the anti-skid data of the asphalt concrete pavement.

[0098] The embodiment of the application provides a processor for processing the processing method for improving the anti-skid data of the asphalt concrete pavement.

[0099] In the embodiment of the application, the processor can be an integrated circuit chip with signal processing capability. The processor can be a general processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0100] The disclosed methods, steps and logic block diagrams in the embodiments of the application can be implemented or executed. The general processor can be a microprocessor or the processor can be any conventional processor. The steps of the method disclosed in combination with the embodiments of the application can be directly embodied as hardware code processor execution or executed by a combination of hardware and software modules in the code processor. The software module can be located in a random memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register or other mature storage medium in the art. The processor reads the information in the storage medium and combines the hardware to complete the steps of the above method.

[0101] The storage medium can be a memory, for example, a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0102] The non-volatile memory can be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically EPROM (EEPROM), or a flash memory. The volatile memory can be a Random Access Memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM can be used, such as a Static RAM (SRAM), a Dynamic RAM (DRAM), a Synchronous DRAM (SDRAM), a Double Data Rate SDRAM (DDR SDRAM), an Enhanced SDRAM (ESDRAM), a Synchlink DRAM (SLDRAM), and a Direct Rambus RAM (DRRAM).

[0103] The present application has the following beneficial effects:

[0104] In the process of improving the anti-skid data of the asphalt concrete pavement, the present application forms a targeted storage chain for the storage and processing of the anti-skid data, and each asphalt concrete pavement is distinguished and targeted, and each storage chain stores the anti-skid data of different asphalt concrete pavements, so that the anti-skid data can be accurately retrieved in subsequent retrieval, and the reliability of subsequent pavement maintenance or pavement analysis is ensured.

[0105] Although the examples described with reference to the present application are only for the purpose of explanation and not limitation of the present application, changes, additions and / or deletions to the embodiments can be made without departing from the scope of the present application.

[0106] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any skilled person in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for improving skid resistance data of asphalt concrete pavement, characterized in that, Includes the following steps: Obtain data to improve the skid resistance of asphalt concrete pavements; Based on the acquired data on improving the skid resistance of asphalt concrete pavement, multiple storage chains are determined; multiple storage chains correspond to multiple slices, and each slice includes one or more virtual nodes with communication latency below a specified threshold; each storage chain stores the skid resistance improvement data corresponding to one asphalt concrete pavement. Determine the security of multiple storage chains; If multiple storage chains pass security checks, it will improve the storage of anti-skid data for asphalt concrete pavements across multiple storage chains; Determining the security of multiple storage chains includes the following sub-steps: Determine the security metrics for each storage chain, and the values ​​for those metrics; The security metric values ​​for each storage chain are normalized. Determine the weight values ​​for safety indicators; The overall score of each piece is determined based on the weight value of the security index. If the overall score is greater than the specified threshold, the security of the storage chain corresponding to that piece is considered to be passed. The security metrics include the storage space of each chip, the computing power of each chip, and the average internal communication latency of each chip, which are expressed as follows: ， ， ； in This represents the average storage space of the r-th slice. This represents the average computing power of the r-th slice. Let represent the average communication latency within the r-th slice, n represent the number of virtual nodes within the r-th slice, and e represent the total number of edges between any two virtual nodes within the r-th slice. This represents the computing power of the i-th virtual node. This represents the storage space of the i-th virtual node. This represents the communication time between two virtual nodes, where i and j represent natural numbers.

2. The method for improving skid resistance data of asphalt concrete pavement as described in claim 1, characterized in that, If the security of one or more storage chains fails, the one or more storage chains are re-identified until the security of one or more storage chains passes.

3. The method for improving skid resistance data of asphalt concrete pavement as described in claim 1, characterized in that, Data on improving the skid resistance of asphalt concrete pavements include the type of high-skid-resistance asphalt used in the construction of each pavement, the type of anti-skid agent added, and the controlled construction temperature parameters.

4. The method for improving skid resistance data of asphalt concrete pavement as described in claim 1, characterized in that, Determining multiple storage chains involves the following sub-steps: Identify multiple virtual nodes; Multiple virtual nodes are sharded to form multiple storage chains.

5. The method for improving skid resistance data of asphalt concrete pavement as described in claim 4, characterized in that, Each slice contains one or more virtual nodes, and each virtual node stores skid resistance data corresponding to an asphalt concrete pavement.

6. A processing system for improving skid resistance data of asphalt concrete pavement, characterized in that, include: Anti-slip data acquisition unit, storage chain determination unit, security judgment unit, and storage unit; The skid resistance data acquisition unit is used to acquire skid resistance data to improve asphalt concrete pavement. The storage chain determination unit is used to determine multiple storage chains based on the acquired data on improving the skid resistance of asphalt concrete pavement; the multiple storage chains correspond to multiple slices, and each slice includes one or more virtual nodes with communication latency below a specified threshold; each storage chain stores the skid resistance data corresponding to one asphalt concrete pavement; A security assessment unit is used to assess the security of multiple storage chains. Storage unit, used to store data that improves the skid resistance of asphalt concrete pavement in multiple storage chains if multiple storage chains pass through securely; The security determination unit determines the security of multiple storage chains through the following sub-steps: Determine the security metrics for each storage chain, and the values ​​for those metrics; The security metric values ​​for each storage chain are normalized. Determine the weight values ​​for safety indicators; The overall score of each piece is determined based on the weight value of the security index. If the overall score is greater than the specified threshold, the security of the storage chain corresponding to that piece is considered to be passed. The security metrics include the storage space of each chip, the computing power of each chip, and the average internal communication latency of each chip, which are expressed as follows: ， ， ； in This represents the average storage space of the r-th slice. This represents the average computing power of the r-th slice. Let represent the average communication latency within the r-th slice, n represent the number of virtual nodes within the r-th slice, and e represent the total number of edges between any two virtual nodes within the r-th slice. This represents the computing power of the i-th virtual node. This represents the storage space of the i-th virtual node. This represents the communication time between two virtual nodes, where i and j represent natural numbers.

7. The processing system for improving skid resistance data of asphalt concrete pavement as described in claim 6, characterized in that, If the security determination unit determines that one or more storage chains have failed the security test, it will re-determine the one or more storage chains until the security of one or more storage chains passes the security test.

8. The processing system for improving skid resistance data of asphalt concrete pavement as described in claim 6, characterized in that, The skid resistance data acquired by the skid resistance data acquisition unit includes the type of high skid resistance asphalt used in the construction of each pavement, the type of antiskid agent added, and the controlled construction temperature parameters.

9. The processing system for improving skid resistance data of asphalt concrete pavement as described in claim 6, characterized in that, The memory chain determination unit determines multiple memory chains by including the following sub-steps: Identify multiple virtual nodes; Multiple virtual nodes are sharded to form multiple storage chains.

10. The processing system for improving skid resistance data of asphalt concrete pavement as described in claim 9, characterized in that, Each slice in the storage chain determination unit contains one or more virtual nodes, and the one or more virtual nodes in each slice store the skid resistance data corresponding to an asphalt concrete pavement.

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