Highway integrated maintenance management platform and maintenance management system

Abstract

The invention relates to the technical field of highway maintenance data management, and particularly discloses a highway integrated maintenance management platform and system, and the platform comprises a display end, a data management layer, a server end, and an inspection end. According to the data management layer, a data acquisition module acquires pavement maintenance data and roadbed maintenance data of a target highway section according to a preset inspection grade; the monitoring and early warning module monitors and analyzes the pavement maintenance data and the roadbed maintenance data, judges whether the pavement maintenance data and the roadbed maintenance data meet requirements or not, and generates early warning information when the pavement maintenance data and the roadbed maintenance data do not meet the requirements; the maintenance scheduling module counts the number of times of generating the early warning information, obtains a maintenance coefficient and judges whether a maintenance problem risk exists or not according to the size of the maintenance coefficient; scheduling analysis is carried out on the target road section with the maintenance problem risk, and scheduling signal parameters are generated; and the inspection module obtains the scheduling signal parameters to execute corresponding inspection modes, and feeds back the inspection modes to the data acquisition module.

Description

Technical Field

[0001] The present invention relates to the technical field of highway maintenance data management, and in particular to an integrated highway maintenance management platform and a maintenance management system. Background Art

[0002] With the continuous improvement of my country's road transportation system, the expressway network is becoming increasingly diversified and complex, requiring more timely and accurate maintenance and management of expressways. By combining expressway maintenance and management with advanced computer technology, the goal of systematizing, standardizing and scientificating the expressway maintenance and management process can be achieved.

[0003] At present, by constructing a building information model, a hierarchical construction process of the highway maintenance management platform from the information layer foundation to modeling to management is realized; by using the Internet + highway maintenance technology to build a platform, the maintenance operation process can be standardized to a certain extent, which can improve the level of highway maintenance management, improve the level of scientific analysis of road maintenance technology, and meet the overall daily inspection needs of the project.

[0004] In the process of platform construction, the use of BIM technology to build a diversified platform information framework usually requires scientific combination of various structures such as field terminal perception network, road network monitoring and emergency response center, network transmission, project-level data center, basic support platform and application system; therefore, each inspection work needs to integrate the environmental information sources of each module in advance, resulting in a long time of pre-inspection preparation to conduct advance scheduling and analysis of the maintenance needs of the current highway project, and a large amount of computing power is also needed in the scheduling and analysis process to judge the problem needs of the on-site maintenance status, and thus there is a lack of accurate methods to realize the process of adaptive adjustment of the inspection settings, making it difficult to realize the technology of integrated highway maintenance management. Summary of the invention

[0005] The purpose of the present invention is to provide an integrated highway maintenance management platform and a maintenance management system to solve the following technical problems: How to achieve integrated highway maintenance management through scientific management of maintenance data inspection methods and synchronous analysis of dispatch information.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An integrated highway maintenance management platform includes a display terminal, a data management layer, a server terminal, and an inspection terminal. The data management layer includes: A data acquisition module is used to obtain the pavement maintenance data and roadbed maintenance data of the target section of the expressway according to the preset inspection level; The monitoring and early warning module is used to monitor and analyze the pavement maintenance data and the roadbed maintenance data, determine whether the pavement maintenance data and the roadbed maintenance data meet the requirements, and generate early warning information when they do not meet the requirements; The maintenance scheduling module is used to count the number of times warning information is generated and obtain the maintenance coefficient and determine whether there is a maintenance problem risk based on the size of the maintenance coefficient; and to perform scheduling analysis on target sections with maintenance problem risks and generate scheduling signal parameters; The inspection module is used to obtain the scheduling signal parameters to execute the corresponding inspection mode, and feed back each inspection mode to the data acquisition module.

[0007] Preferably, the monitoring analysis includes: Obtain the time-varying curves of pavement maintenance data and roadbed maintenance data over a period of time ,curve ; Statistical curve ,curve The standard curve ,curve The area difference , size; The area difference , With standard threshold To compare: If the area difference or Greater than the standard threshold , then it is judged that it does not meet the requirements; If the area difference and Both are less than the standard threshold , then it is judged to meet the requirements.

[0008] Preferably, the maintenance coefficient is obtained by: Count the cumulative number of warning messages generated within the preset time period , when the number When the preset threshold is exceeded, the area difference of each warning information is obtained. , Exceeding the standard threshold The excess amount: , ; By formula Calculate the maintenance factor ;in, is the correction factor; is the cumulative number of warning messages, and ∈ , To generate the The area difference of the warning information excess amount; To generate the The area difference of the warning information excess amount.

[0009] Preferably, it also includes: The maintenance factor The preset maintenance factor threshold interval To compare: like < , then it is judged that there is no maintenance problem at present; like ∈ , then it is judged that there is a maintenance problem risk at present; like > , it is judged that there is a maintenance problem and an early warning signal is generated.

[0010] Preferably, the method for performing scheduling analysis on target road sections with maintenance problem risks is: By formula Calculate the first Yearly road performance forecast ;in, is the initial road condition performance prediction value, i.e., the key road condition index performance value; , are the first calibration parameter and the second calibration parameter respectively; , All are greater than 0; is the preset deviation value; is the influence coefficient of pavement maintenance data, is the influence coefficient of roadbed maintenance data; By formula Calculate key road condition performance values ;in, is a preset nonlinear function; For pavement maintenance data; Roadbed maintenance data; , are respectively a first preset weight coefficient and a second preset weight coefficient; , All are greater than 0; The preset initial maintenance level.

[0011] Preferably, the scheduling signal parameters are generated in the following manner: By formula Calculate and obtain the scheduling signal parameters ; in, is the total number of maintenance years, and ∈ ; For the Annual maintenance application factor; For the The weight coefficient corresponding to the maintenance status of the year.

[0012] Preferably, the inspection module includes: The dispatch signal parameters The preset dispatch signal parameter threshold interval To compare: like < , then it is determined to strengthen the dispatch and improve the inspection level; like ∈ , then it is determined to continue to execute the current scheduling and keep the inspection level unchanged; like > , then it is determined to weaken the scheduling and lower the inspection level.

[0013] An integrated highway maintenance management system includes an integrated highway maintenance management platform and at least one device that communicates with the integrated highway maintenance management platform.

[0014] Beneficial effects of the present invention: (1) The present invention realizes the scheduling of the inspection process of maintenance data by setting up a data management layer, improves the precise inspection process of highways, and optimizes the request method of the scheduling work.

[0015] (2) By collecting the pavement maintenance data and roadbed maintenance data of the target section of the expressway and conducting monitoring and analysis, it is determined whether the pavement maintenance data and roadbed maintenance data are in line with the current situation. For situations that do not meet the current requirements, early warning information is generated. By setting up a maintenance scheduling module, maintenance confirmation and scheduling signal confirmation are further performed. By judging the abnormal early warning signals obtained during each inspection and counting the number of times early warning information is generated, the maintenance coefficient is calculated based on the record of the number of times early warning information is generated. Based on the size of the maintenance coefficient, it is determined whether there is a risk of maintenance problems, and timely scheduling analysis of maintenance problems is achieved. According to the scheduling analysis process, scheduling signal parameters are generated, and the specific scheduling process is improved to achieve scientific management of the inspection method of maintenance data and synchronous analysis of scheduling information.

[0016] (3) The inspection module obtains the dispatch signal parameters from the maintenance dispatch module to further confirm the inspection mode, and executes the corresponding inspection mode and feeds back each inspection mode to the data acquisition module to optimize the inspection mode, thereby realizing the integrated maintenance management process of the highway.

[0017] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 This is a data management layer module diagram of an integrated highway maintenance management platform according to the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention is an integrated highway maintenance management platform, which includes a display terminal, a data management layer, a server terminal, and an inspection terminal. The data management layer includes: A data acquisition module is used to obtain the pavement maintenance data and roadbed maintenance data of the target section of the expressway according to the preset inspection level; The monitoring and early warning module is used to monitor and analyze the pavement maintenance data and the roadbed maintenance data, determine whether the pavement maintenance data and the roadbed maintenance data meet the requirements, and generate early warning information when they do not meet the requirements; The maintenance scheduling module is used to count the number of times warning information is generated and obtain the maintenance coefficient and determine whether there is a maintenance problem risk based on the size of the maintenance coefficient; and to perform scheduling analysis on target sections with maintenance problem risks and generate scheduling signal parameters; The inspection module is used to obtain the scheduling signal parameters to execute the corresponding inspection mode, and feed back each inspection mode to the data acquisition module.

[0022] In the above technical scheme, in order to realize the integrated maintenance management process of expressways through the scientific management of the inspection methods of maintenance data and the synchronous analysis of scheduling information; this design designs an integrated maintenance management platform for expressways, wherein the platform is provided with a display terminal for displaying the analysis results, and a data management layer is provided to realize the analysis process of inspection and scheduling of maintenance data; a server side is also provided to ensure that a computer system for providing inspection signal services in the network is provided, and the server side can receive and process requests from the inspection side, and send response data to the inspection side, and the inspection side is used to determine the inspection needs and generate the inspection level, so as to ensure that the inspection level of the inspection side guides the data management layer to collect the target data.

[0023] The data management layer specifically includes four modules: data acquisition module, monitoring and early warning module, maintenance scheduling module, and inspection module. They realize the scheduling of the inspection process of maintenance data, improve the precise highway inspection process, and optimize the request method of scheduling work. Specifically, the data acquisition module is set to collect data according to the preset inspection level of the inspection end. The collected data includes the pavement maintenance data and roadbed maintenance data of the target section of the highway; then, the monitoring and early warning module is set to monitor and analyze the pavement maintenance data and roadbed maintenance data. The monitoring and analysis determines whether the pavement maintenance data and roadbed maintenance data meet the current situation. For situations that do not meet the current requirements, early warning information is generated, and further judgment process is required. Since there are many factors that cause abnormal changes in pavement maintenance data and roadbed maintenance data, it is necessary to conduct inspections and obtain them within the set time interval according to the frequency or cycle of the inspection settings, so as to confirm the number of inspection early warning problem reminders for the same target section in the monitoring time period; then, set the maintenance The maintenance scheduling module further performs maintenance confirmation and scheduling signal confirmation by judging the abnormal warning signals obtained in each inspection and counting the number of times the warning information is generated. The maintenance coefficient is calculated based on the record of the number of times the warning information is generated. Then, according to the size of the maintenance coefficient, it is determined whether there is a maintenance problem risk, so as to realize timely scheduling analysis of maintenance problems, generate scheduling signal parameters according to the scheduling analysis process, and improve the specific scheduling process. Finally, by setting up the inspection module, further inspection method confirmation is realized according to the scheduling signal parameters obtained by the maintenance scheduling module. By executing the corresponding inspection method and feeding back each inspection method to the data acquisition module, the optimization process of the inspection method is realized. The inspection method is generally determined and executed according to different inspection levels.

[0024] As an embodiment of the present invention, the monitoring and analysis includes: Obtain the time-varying curves of pavement maintenance data and roadbed maintenance data over a period of time ,curve ; Statistical curve ,curve The standard curve ,curve The area difference , size; The area difference , With standard threshold To compare: If the area difference or Greater than the standard threshold , then it is judged that it does not meet the requirements; If the area difference and Both are less than the standard threshold , then it is judged to meet the requirements.

[0025] In the above technical solution, the monitoring and analysis process of the pavement maintenance data and the roadbed maintenance data is to first obtain the time variation curve of the pavement maintenance data and the roadbed maintenance data within a period of time. ,curve ; Then it is necessary to determine the change status of the pavement maintenance data and the change status of the roadbed maintenance data. Due to the maintenance cycle of the highway and the settings of different sections, the changes in the maintenance data obtained need to be obtained based on comparison. Specifically, statistical curves are needed ,curve The standard curve ,curve The area difference , The size of the area difference is determined by geometric image analysis. , The size of , The size of the data is used to determine whether the change status of the pavement maintenance data and the change status of the roadbed maintenance data meet the requirements, and generate warning information for situations that do not meet the requirements; the warning information is generated by comparing and analyzing the area difference , With standard threshold Compare the sizes and determine if the area difference or Greater than the standard threshold It does not meet the requirements. It should be noted that as long as there is an abnormality in the maintenance of the road surface or roadbed, an early warning message will be generated. This setting ensures a comprehensive analysis process for the highway.

[0026] As an implementation mode of the present invention, the method for obtaining the maintenance coefficient includes: Count the cumulative number of warning messages generated within the preset time period , when the number When the preset threshold is exceeded, the area difference of each warning information is obtained. , Exceeding the standard threshold The excess amount: , ; By formula Calculate the maintenance factor ;in, is the correction factor; is the cumulative number of warning messages, and ∈ , To generate the The area difference of the warning information excess amount; To generate the The area difference of the warning information excess amount.

[0027] In the above technical solution, the maintenance coefficient is determined according to the cumulative number of times the warning information is generated. The maintenance coefficient reflects the maintenance status of the highway section. As the service time increases, the larger the maintenance coefficient is, the greater the maintenance cost investment is. In addition, if the number of times the warning information is generated exceeds the critical value, the excess value needs to be calculated and analyzed. Here, the critical value is set as a preset threshold value according to the level of historical road condition maintenance. The cumulative number is When the number When the preset threshold is exceeded, the area difference of each warning information is calculated. , Exceeding the standard threshold The excess amount: , According to the formula Calculate the maintenance factor ; Through the maintenance factor Realize the analysis of maintenance problems, specifically based on the area difference of the cumulative number of warning information and area difference The excess amount is judged and combined with the correction coefficient The maintenance coefficient range is adjusted for the accumulation of excess quantities to ensure that the size of the correction coefficient obtained meets the reference value of actual maintenance needs, thereby determining maintenance needs.

[0028] As an embodiment of the present invention, it also includes: The maintenance factor The preset maintenance factor threshold interval To compare: like < , then it is judged that there is no maintenance problem at present; like ∈ , then it is judged that there is a maintenance problem risk at present; like > , it is judged that there is a maintenance problem and an early warning signal is generated.

[0029] In the above technical solution, according to the comparative analysis method, the maintenance coefficient Compare with the preset maintenance factor threshold interval, the preset maintenance factor threshold interval It is obtained by fitting historical experience data and judging the maintenance coefficient Whether it falls within this interval is judged as a maintenance problem. When the maintenance coefficient is not within this interval and is small, it is judged that there is no maintenance problem at present. When the maintenance coefficient is not within this interval and is large, it is judged that there is a maintenance problem at present, and immediate maintenance is required, and an early warning signal is generated to prevent safety problems in vehicle driving; when it is within this interval, it is judged that there is a maintenance problem risk, and relevant scheduling information needs to be further generated to realize timely inspection and deployment of maintenance according to the scheduling signal.

[0030] As an implementation mode of the present invention, a method for performing scheduling analysis on a target road section with maintenance problem risks is as follows: By formula Calculate the first Yearly road performance forecast ;in, is the initial road condition performance prediction value, i.e., the key road condition index performance value; , are the first calibration parameter and the second calibration parameter respectively; , All are greater than 0; is the preset deviation value; is the influence coefficient of pavement maintenance data, is the influence coefficient of roadbed maintenance data; By formula Calculate key road condition performance values ;in, is a preset nonlinear function; For pavement maintenance data; Roadbed maintenance data; , are respectively a first preset weight coefficient and a second preset weight coefficient; , All are greater than 0; The preset initial maintenance level.

[0031] In the above technical solution, the scheduling analysis method is based on the formula The calculated Yearly road performance forecast Determined, through the initial road performance prediction value Make a road condition performance prediction for the current year The calculation of key road condition index performance value is used as Initial road performance prediction value for the year , and then based on Year, The corresponding parameters of the maintenance measures, traffic volume and pavement structure of the highway in subsequent years are obtained, and the road performance prediction value of the corresponding year is obtained according to the preset performance prediction calculation formula. , etc. until the road performance forecast values ​​for each year within the planning period are completed. ~ ; and through the formula Calculate key road condition performance values ;Key road condition indicator performance values Based on pavement maintenance data , roadbed maintenance data Determined by the maintenance conditions; based on the performance values ​​of key road condition indicators That is, the determination of the initial road performance prediction value can achieve the first Yearly road performance forecast accurate acquisition.

[0032] Among them, it needs to be explained that the first calibration parameter , the second calibration parameter These are some key parameters that need to be determined during a certain measurement or calibration process. These parameters are necessary to ensure the accuracy of the measurement results. The calibration parameters in this design are set in advance based on the actual vehicle driving conditions of the road section; pavement maintenance data influence coefficient , Roadbed maintenance data influence coefficient The influence coefficient of this design is a ratio. If the ratio is greater than 0, it is a positive influence, otherwise it is a negative influence. If the influence coefficient is equal to 0, it means there is no influence. The preset deviation value is a constant, which is set in advance according to the formula; the preset nonlinear function It is a polynomial, which is accumulated according to the number of years; the first preset weight coefficient , the second preset weight coefficient All of them are obtained by fitting based on historical experience data, reflecting the pavement maintenance data. , roadbed maintenance data Obtained by weight analysis of the effect of variable results; preset initial maintenance level To set the maintenance management level according to the traffic importance of the current highway section; the number of levels It is usually determined by the initial maintenance cost based on several indicators: pavement damage index PCI, ride quality index RQI, rutting depth index RDI, skid resistance SRI and structural strength PSSI. As the maintenance investment increases in the later stage, the number of maintenance levels will also increase and adjust accordingly.

[0033] As an implementation mode of the present invention, the method of generating the scheduling signal parameters is: By formula Calculate and obtain the scheduling signal parameters ; in, is the total number of maintenance years, and ∈ ; For the Annual maintenance application factor; For the The weight coefficient corresponding to the maintenance status of the year.

[0034] In the above technical solution, the formula Calculate and obtain the scheduling signal parameters , according to the scheduling signal parameters It can further realize the adjustment and judgment of scheduling, specifically, by accumulating the predicted value of road condition performance Adjustment of the cumulative year status of the maintenance factor The scheduling signal size is determined according to the result of the ratio calculation. The scheduling signal parameters reflect the changes in the scheduling signal. When the scheduling signal parameters exceed or are less than the normal range, the scheduling method needs to be adjusted. The scheduling information is set in advance according to the preset inspection level. The higher the inspection level, the greater the scheduling priority. The scheduling priority can be static (fixed priority) or dynamic (adjustable priority). The scheduling of this design is suitable for real-time scheduling processes, and real-time scheduling adjustments are made according to the size of the scheduling signal parameters.

[0035] Among them, the maintenance application coefficient To adjust the actual maintenance factor according to the value that exceeds the standard, ∈ Then scheduling analysis is needed to provide the calculation of the maintenance application coefficient. Under this premise, ; and the maintenance application factor With the maintenance factor of different years Adjusted to changes.

[0036] As an implementation mode of the present invention, the inspection module includes: The dispatch signal parameters The preset dispatch signal parameter threshold interval To compare: like < , then it is determined to strengthen the dispatch and improve the inspection level; like ∈ , then it is determined to continue to execute the current scheduling and keep the inspection level unchanged; like > , then it is determined to weaken the scheduling and lower the inspection level.

[0037] In the above technical solution, the scheduling signal parameters are obtained by analyzing the scheduling signal parameters. The preset dispatch signal parameter threshold interval The corresponding inspection mode is implemented by comparison, and the inspection results of each inspection mode are fed back to the data acquisition module; the specific comparison content is: determine when the dispatch signal parameter Less than threshold When the dispatch signal parameter is If it is in the standard range, the current scheduling arrangement is judged to be reasonable, the current scheduling is continued, and the inspection level is maintained; if it is greater than the scheduling signal parameter If this happens, it is necessary to weaken the dispatch signal setting and reduce the inspection level.

[0038] The present invention also designs an integrated highway maintenance management system, including an integrated highway maintenance management platform; and at least one device that communicates with the integrated highway maintenance management platform.

[0039] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0040] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. An integrated highway maintenance management platform, comprising a display terminal, a data management layer, a server terminal, and an inspection terminal, characterized in that: The data management layer includes: A data acquisition module is used to obtain the pavement maintenance data and roadbed maintenance data of the target section of the expressway according to the preset inspection level; The monitoring and early warning module is used to monitor and analyze the pavement maintenance data and the roadbed maintenance data, determine whether the pavement maintenance data and the roadbed maintenance data meet the requirements, and generate early warning information when they do not meet the requirements; The maintenance scheduling module is used to count the number of times warning information is generated and obtain the maintenance coefficient and determine whether there is a maintenance problem risk based on the size of the maintenance coefficient; and to perform scheduling analysis on target sections with maintenance problem risks and generate scheduling signal parameters; The inspection module is used to obtain the scheduling signal parameters to execute the corresponding inspection mode, and feed back each inspection mode to the data acquisition module.

2. The integrated highway maintenance management platform according to claim 1 is characterized in that: The monitoring and analysis includes: Obtain the time-varying curves of pavement maintenance data and roadbed maintenance data over a period of time ,curve ; Statistical curve ,curve The standard curve ,curve The area difference , size; The area difference , With standard threshold To compare: If the area difference or Greater than the standard threshold , then it is judged that it does not meet the requirements; If the area difference and Both are less than the standard threshold , then it is judged to meet the requirements.

3. The integrated highway maintenance management platform according to claim 1 is characterized in that: The maintenance coefficient is obtained by: Count the cumulative number of warning messages generated within the preset time period , when the number When the preset threshold is exceeded, the area difference of each warning information is obtained. , Exceeding the standard threshold The excess amount: , ; By formula Calculate the maintenance factor ;in, is the correction factor; is the cumulative number of warning messages, and ∈ , To generate the The area difference of the warning information excess amount; To generate the The area difference of the warning information excess amount.

4. The integrated highway maintenance management platform according to claim 3 is characterized in that: Also includes: The maintenance factor The preset maintenance factor threshold interval To compare: like < , then it is judged that there is no maintenance problem at present; like ∈ , then it is judged that there is a maintenance problem risk at present; like > , it is judged that there is a maintenance problem and an early warning signal is generated.

5. The integrated highway maintenance management platform according to claim 4 is characterized in that: The method for performing scheduling analysis on the target road section with maintenance problem risk is: By formula Calculate the first Yearly road performance forecast ;in, is the initial road condition performance prediction value, i.e., the key road condition index performance value; , are the first calibration parameter and the second calibration parameter respectively; , All are greater than 0; is the preset deviation value; is the influence coefficient of pavement maintenance data, is the influence coefficient of roadbed maintenance data; By formula Calculate key road condition performance values ;in, is a preset nonlinear function; For pavement maintenance data; Roadbed maintenance data; , are respectively a first preset weight coefficient and a second preset weight coefficient; , All are greater than 0; The preset initial maintenance level.

6. The integrated highway maintenance management platform according to claim 5 is characterized in that: The method of generating the scheduling signal parameters is: By formula Calculate and obtain the scheduling signal parameters ; in, is the total number of maintenance years, and ∈ ; For the Annual maintenance application factor; For the The weight coefficient corresponding to the maintenance status of the year.

7. The integrated highway maintenance management platform according to claim 6 is characterized in that: The inspection module comprises: The dispatch signal parameters The preset dispatch signal parameter threshold interval To compare: like < , then it is determined to strengthen the dispatch and improve the inspection level; like ∈ , then it is determined to continue to execute the current scheduling and keep the inspection level unchanged; like > , then it is determined to weaken the scheduling and lower the inspection level.

8. An integrated highway maintenance management system, characterized in that: It comprises the integrated highway maintenance management platform as described in any one of claims 1 to 7; and at least one device that communicates with the integrated highway maintenance management platform.

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