An integrated highway maintenance management platform and maintenance management system

Abstract

The invention relates to the technical field of highway maintenance data management, and specifically discloses an integrated highway maintenance management platform and a maintenance management system. The platform comprises a display terminal, a data management layer, a server terminal and an inspection terminal. The data management layer comprises: a data acquisition module acquires pavement maintenance data and roadbed maintenance data of a target section of the highway according to a preset inspection level; a monitoring and early warning module monitors and analyzes the pavement maintenance data and roadbed maintenance data, determines whether the pavement maintenance data and roadbed maintenance data meet requirements, and generates early warning information when they do not meet the requirements; a maintenance scheduling module counts the number of times early warning information is generated, acquires a maintenance coefficient, and determines whether there is a maintenance problem risk according to the size of the maintenance coefficient; and performs scheduling analysis on a target section with a maintenance problem risk, and generates a scheduling signal parameter; an inspection module acquires the scheduling signal parameter and executes a corresponding inspection mode, and feeds back each inspection mode to the data acquisition module.

Description

Technical Field

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

[0002] With the continuous improvement of China's highway transportation system, the expressway network has become increasingly diversified and complex, and the requirements for the maintenance management of expressways need to be more timely and accurate; by combining the maintenance management of expressways with advanced computer technology, the goals of systematizing, standardizing, and scientificizing the expressway maintenance management process are achieved.

[0003] Existing methods involve hierarchically building an expressway maintenance management platform from the information layer to modeling and management by constructing a building information model; by using Internet + expressway maintenance technical means to build a platform, the maintenance operation process can be standardized to a certain extent, the expressway maintenance management level can be improved, the scientific analysis level of road maintenance technology can be enhanced, and the daily inspection needs of the entire project can be realized.

[0004] During the platform construction process, the use of BIM technology to build a diversified platform information framework usually requires scientific matching of various structures such as an outfield terminal perception network, a road network monitoring and emergency response center, network transmission, a project-level data center, a basic support platform, and application systems; therefore, in each inspection work, it is also necessary to integrate the environmental information sources of each module in advance, resulting in the need to spend more time preparing before inspection to schedule and analyze the maintenance needs of the current highway project in advance, and a large amount of computing power is also consumed during the scheduling and analysis process to judge the problem requirements of the on-site maintenance status. Furthermore, there is a lack of an accurate method to realize the process of adaptively adjusting the inspection settings, and it is difficult to achieve the technology of integrated expressway maintenance management. Summary of the Invention

[0005] The purpose of the present invention is to provide an integrated maintenance management platform and a maintenance management system for expressways, and solve the following technical problems:

[0006] How to achieve the integrated expressway maintenance management process through scientific management of the inspection method of maintenance data and synchronous analysis of scheduling information.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] An integrated maintenance management platform for expressways, the platform includes a display end, a data management layer, a server end, and an inspection end. The data management layer includes:

[0009] A data acquisition module, configured to obtain pavement maintenance data and subgrade maintenance data of a target section of an expressway according to a preset inspection level;

[0010] A monitoring and warning module, configured to monitor and analyze the pavement maintenance data and subgrade maintenance data, determine whether the pavement maintenance data and subgrade maintenance data meet the requirements, and generate a warning message when they do not meet the requirements;

[0011] A maintenance scheduling module, configured to count the number of times of generating warning messages and obtain a maintenance coefficient, and determine whether there is a risk of maintenance problems according to the size of the maintenance coefficient; and configured to perform scheduling analysis on the target section with a risk of maintenance problems and generate scheduling signal parameters;

[0012] An inspection module, configured to obtain scheduling signal parameters, execute corresponding inspection methods, and feedback each inspection method to the data acquisition module.

[0013] Preferably, the monitoring and analysis includes:

[0014] Obtaining curves of the time variation of pavement maintenance data and subgrade maintenance data over a period of time and curves ;

[0015] Statistical curves and curves are respectively compared with standard curves and curves to obtain the area differences and ;

[0016] Comparing the area differences and with a standard threshold :

[0017] If the area difference or is greater than the standard threshold , it is determined that the requirements are not met;

[0018] If the area differences and are both less than the standard threshold , it is determined that the requirements are met.

[0019] Preferably, the method for obtaining the maintenance coefficient includes:

[0020] Counting the cumulative number of times of generating warning messages within a preset time period , and when the number exceeds the preset threshold, obtaining the area differences and of each warning message that exceed the standard threshold Excess amount: , ;

[0021] The maintenance coefficient is calculated through the formula to obtain ; where is the correction coefficient; is the total number of accumulated warning messages, and ∈ , is the excess amount of the area difference for generating the th warning message; is the excess amount of the area difference for generating the th warning message.

[0022] Preferably, it further includes:

[0023] Compare the maintenance coefficient with the preset maintenance coefficient threshold range :

[0024] If < , it is determined that there is no current maintenance problem;

[0025] If ∈ , it is determined that there is a risk of current maintenance problems;

[0026] If > , it is determined that there is a current maintenance problem and a warning signal is generated.

[0027] Preferably, the method for scheduling and analyzing the target section with a risk of maintenance problems is:

[0028] The predicted value of the road condition performance for the th year is calculated through the formula to obtain ; where is the initial predicted value of the road condition performance, that is, the performance value of the key road condition indicators; , are the first calibration parameter and the second calibration parameter respectively; , are both greater than 0; is the preset deviation value; is the influence coefficient of the road surface maintenance data, is the influence coefficient of the roadbed maintenance data;

[0029] The performance value of the key road condition indicators is calculated through the formula to obtain ; wherein, is a preset non - linear function; is pavement maintenance data; is subgrade maintenance data; 、 are the first preset weight coefficient and the second preset weight coefficient respectively; 、 are both greater than 0; is the preset initial maintenance level.

[0030] Preferably, the way to generate the scheduling signal parameter is:

[0031] Obtain the scheduling signal parameter through the formula ; ;

[0032] wherein, is the total number of maintenance years, and ∈ ; is the maintenance application coefficient for the th year; is the weight coefficient corresponding to the maintenance status in the th year.

[0033] Preferably, the inspection module includes:

[0034] Compare the scheduling signal parameter with the preset scheduling signal parameter threshold range :

[0035] If < , then determine to strengthen the scheduling and improve the inspection level;

[0036] If ∈ , then determine to continue the current scheduling and keep the inspection level unchanged;

[0037] If > , then determine to weaken the scheduling and lower the inspection level.

[0038] An integrated highway maintenance management system includes an integrated highway maintenance management platform; and at least one device communicating with the integrated highway maintenance management platform.

[0039] Advantages of the present invention:

[0040] (1) By setting up the data management layer, the present invention realizes the scheduling work in the inspection process of maintenance data, improves the precise highway inspection process, and optimizes the request mode of the scheduling work.

[0041] (2) By collecting pavement maintenance data and subgrade maintenance data of the target section of the highway and conducting monitoring and analysis, it is determined whether the pavement maintenance data and subgrade maintenance data conform to the current situation. For situations that do not meet the current requirements, warning information is generated. Through the setting of the maintenance scheduling module, further maintenance confirmation and dispatching signal confirmation are carried out. By judging the abnormal warning signals obtained from each inspection and counting the number of times of generating warning information, the maintenance coefficient is calculated according to the record of the number of times of generating warning information. Whether there is a risk of maintenance problems is judged according to the size of the maintenance coefficient, so as to realize the timely dispatching and analysis of maintenance problems, and generate dispatching signal parameters according to the dispatching and analysis process, improve the specific dispatching process, and realize the scientific management of the inspection method of maintenance data and the synchronous analysis of dispatching information.

[0042] (3) Through the inspection module, it is realized to further confirm the inspection method according to the dispatching signal parameters obtained from the maintenance scheduling module, and by executing the corresponding inspection methods and feeding back each inspection method to the data collection module, the optimization process of the inspection method is realized, and then the integrated maintenance management process of the highway is realized.

[0043] Of course, it is not necessary for any product implementing the present invention to achieve all the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] 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 in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is a module diagram of the data management layer of an integrated highway maintenance management platform of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0047] Please refer to Figure 1 As shown, the present invention is an integrated highway maintenance management platform, which includes a display end, a data management layer, a server end, and an inspection end. The data management layer includes:

[0048] A data acquisition module, configured to obtain pavement maintenance data and subgrade maintenance data of a target section of an expressway according to a preset inspection level;

[0049] A monitoring and warning module, configured to monitor and analyze the pavement maintenance data and subgrade maintenance data, determine whether the pavement maintenance data and subgrade maintenance data meet the requirements, and generate a warning message when they do not meet the requirements;

[0050] A maintenance scheduling module, configured to count the number of generated warning messages, obtain a maintenance coefficient, and determine whether there is a risk of maintenance problems according to the size of the maintenance coefficient; and configured to perform scheduling analysis on the target section with a risk of maintenance problems and generate scheduling signal parameters;

[0051] An inspection module, configured to obtain the scheduling signal parameters, execute corresponding inspection methods, and feedback each inspection method to the data acquisition module.

[0052] In the above technical solution, in order to realize the integrated maintenance management process of the expressway through the scientific management of the inspection methods of the maintenance data and the synchronous analysis of the scheduling information; this design designs an integrated maintenance management platform for expressways, in which the platform is provided with a display terminal for displaying analysis results, and a data management layer is also provided to realize the analysis process of inspecting and scheduling the maintenance data; a server side is also provided to ensure a computer system that provides inspection signal services in the network. The server side can receive and process requests from the inspection side and send response data to the inspection side. The inspection side is used to determine the inspection requirements and generate an inspection level, ensuring that the inspection level of the inspection side guides the data management layer to collect target data.

[0053] The data management layer specifically includes four modules: a data acquisition module, a monitoring and warning module, a maintenance scheduling module, and an inspection module, which realize the scheduling work of the inspection process for maintenance data, improve the precise highway inspection process, and optimize the request method of the scheduling work. Specifically, the data acquisition module is set to collect data according to the preset inspection level of the inspection terminal, and the collected data includes pavement maintenance data and subgrade maintenance data of the target section of the highway; then, the monitoring and warning module is set to monitor and analyze the pavement maintenance data and subgrade maintenance data, and judge whether the pavement maintenance data and subgrade maintenance data conform to the current situation through monitoring and analysis. For situations that do not meet the current requirements, warning information is generated, and a further judgment process is required. Since there are many factors for abnormal changes in pavement maintenance data and subgrade maintenance data, it is necessary to perform inspections within a set time interval according to the inspection frequency or cycle set in the inspection to confirm the number of reminder times for the inspection warning problem of the same target section during the monitoring period; then, the maintenance scheduling module is set to further perform maintenance confirmation and scheduling signal confirmation. By judging the abnormal warning signals obtained from each inspection and counting the number of times of generating warning information, the maintenance coefficient is calculated according to the record of the number of times of generating warning information, and then whether there is a risk of maintenance problems is judged according to the size of the maintenance coefficient, so as to realize the timely scheduling and analysis of maintenance problems, and generate scheduling signal parameters according to the scheduling analysis process to improve the specific scheduling process; finally, by setting the inspection module, the inspection method is further confirmed according to the scheduling signal parameters obtained from 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.

[0054] As an implementation manner of the present invention, the monitoring and analysis includes:

[0055] Obtain the curve of the time change of pavement maintenance data and subgrade maintenance data within a period of time 、curve ;

[0056] Statistical curve 、curve Respectively with the standard curve 、curve The area difference 、 Size;

[0057] The area difference 、 Compared with the standard threshold For comparison:

[0058] If the area difference Or Greater than the standard threshold , it is determined that it does not meet the requirements;

[0059] If the area difference and are both less than the standard threshold , it is determined that it meets the requirements.

[0060] In the above technical solution, the process of monitoring and analyzing the pavement maintenance data and the subgrade maintenance data is as follows: First, obtain the curves of the time changes of the pavement maintenance data and the subgrade maintenance data within a period of time , curve ; Then, it is necessary to determine the change states of the pavement maintenance data and the subgrade maintenance data. Due to the maintenance cycle of the highway and the settings of different sections, the changes in the obtained maintenance data need to be obtained through comparison. Specifically, it is necessary to count the curves , curve respectively with the standard curve , curve area differences , sizes, and judge the sizes of the area differences , according to the geometric image analysis method. According to , sizes to respectively judge whether the change states of the pavement maintenance data and the subgrade maintenance data meet the requirements, and generate warning information for the non-conforming situations; generating warning information is to compare the area differences , with the standard threshold by comparison, and judge that if the area difference or is 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 pavement or the subgrade, warning information is generated. Such a setting ensures a comprehensive analysis process of the highway.

[0061] As an implementation manner of the present invention, the method for obtaining the maintenance coefficient includes:

[0062] Statistically count the cumulative number of times of generating warning information within a preset time period , when the number exceeds the preset threshold, then obtain the area differences , in each warning information that exceed the standard threshold excess amount: , ;

[0063] Obtain the maintenance coefficient by calculating through the formula ; where is a correction coefficient; is the total cumulative number of warning messages, and ∈ , is the area difference for generating the th warning message surplus; is the area difference for generating the th warning message surplus.

[0064] In the above technical solution, the maintenance coefficient is determined according to the cumulative number of generated warning messages. The maintenance coefficient reflects the status maintenance of the highway section. As the usage time extends, the larger the maintenance coefficient, the greater the investment in maintenance costs. And when the number of generated warning messages exceeds the critical value, the calculation and analysis of the exceeded value are required. Here, the critical value is set as a preset threshold according to the historical road condition maintenance level; the cumulative number is ; when the number exceeds the preset threshold, calculate the area difference , in each warning message that exceeds the standard threshold surplus: , ; calculate the maintenance coefficient obtained according to the formula ; through the maintenance coefficient realize the analysis of maintenance problems. Specifically, judge according to the area difference of the cumulative warning message times and the surplus of the area difference . Combine the correction coefficient to adjust the range of the maintenance coefficient for the accumulation of the surplus, ensure that the magnitude of the obtained correction coefficient meets the actual maintenance requirement reference value, and then determine the maintenance need.

[0065] As an implementation manner of the present invention, it further includes:

[0066] Compare the maintenance coefficient with the preset maintenance coefficient threshold interval :

[0067] If < , it is determined that there is no current maintenance problem;

[0068] If ∈ , it is determined that there is a current risk of maintenance problems;

[0069] If > , it is determined that there is a maintenance problem currently, and a warning signal is generated.

[0070] In the above technical solution, according to the comparison and analysis method, the maintenance coefficient is compared with the preset maintenance coefficient threshold range, and the preset maintenance coefficient threshold range is obtained by fitting historical experience data, and by judging whether the maintenance coefficient falls into this range to judge the maintenance problem. When the maintenance coefficient is not in this range and is small, it is determined that there is no maintenance problem currently. When the maintenance coefficient is not in this range and is large, it is determined that there is a maintenance problem currently, and immediate maintenance treatment is required, and a warning signal is generated to prevent safety problems during vehicle driving; when it is within this range, it is determined that there is a risk of maintenance problems, and relevant dispatching information needs to be further generated to realize timely inspection and dispatching maintenance according to the dispatching signal.

[0071] As an implementation manner of the present invention, the method for dispatching and analyzing the target road section with the risk of maintenance problems is:

[0072] The predicted value of the road condition performance in the th year is calculated through the formula ; where is the initial predicted value of road condition performance, that is, the performance value of the key road condition index; , are the first calibration parameter and the second calibration parameter respectively; , are both greater than 0; is the preset deviation value; is the influence coefficient of road surface maintenance data, is the influence coefficient of subgrade maintenance data;

[0073] The performance value of the key road condition index is calculated through the formula ; where is the preset non-linear function; is the road surface maintenance data; is the subgrade maintenance data; , are the first preset weight coefficient and the second preset weight coefficient respectively; , are both greater than 0; is the preset initial maintenance level.

[0074] In the above technical solution, the method of dispatching and analyzing is the predicted value of the road condition performance in the th year calculated according to the formula Determined by the initial road condition performance prediction value Calculate the road condition performance prediction value for the current year using the performance value of key road condition indicators as the initial road condition performance prediction value at year , and then based on year, subsequent years such as , obtain the corresponding parameters for the highway maintenance treatment measures, traffic volume, and pavement structure in subsequent years, and use the preset performance prediction calculation formula to obtain the road condition performance prediction values for the corresponding years ~ ; and calculate the performance value of key road condition indicators through formula ; the performance value of key road condition indicators is determined based on the maintenance conditions of pavement maintenance data and subgrade maintenance data ; according to the performance value of key road condition indicators , that is, the determination of the initial road condition performance prediction value can achieve the accurate acquisition of the road condition performance prediction value in year .

[0075] Among them, it should be explained that the first calibration parameter , the second calibration parameter both refer to some key parameters that need to be determined during a certain measurement or calibration process. These parameters are for ensuring the accuracy of the measurement results. The calibration parameters in this design are set in advance according to the actual vehicle driving conditions on this section of the road; the pavement maintenance data influence coefficient , the subgrade maintenance data influence coefficient are both determined according to the actual influence status of pavement and subgrade maintenance treatments on road condition performance. The influence coefficient in this design is a ratio. If this ratio is greater than 0, it is a positive influence, otherwise it is a negative influence, and an influence coefficient equal to 0 means no influence; the preset deviation value is a constant and is set in advance according to formula calculation; the preset non-linear function is polynomial and is obtained by cumulative calculation according to the number of years; the first preset weight coefficient , the second preset weight coefficient are both obtained by fitting according to historical experience data, reflecting the proportion analysis of the influence of pavement maintenance data and subgrade maintenance data on the variable results; the 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 based on several indicators: the initial cost of maintenance input for the pavement damage index PCI, ride quality index RQI, rut depth index RDI, skid resistance performance SRI, and structural strength PSSI. As the later maintenance input increases, the number of maintenance levels is also increased and adjusted accordingly.

[0076] As an implementation manner of the present invention, the method for generating the scheduling signal parameters is as follows:

[0077] Through the formula Calculate to obtain the scheduling signal parameters ;

[0078] Among them, is the total number of maintenance years, and ∈ ; is the maintenance application coefficient in the th year; is the weight coefficient corresponding to the maintenance status in the th year.

[0079] In the above technical solution, the scheduling signal parameters are calculated through the formula Calculate to obtain the scheduling signal parameters , and according to the scheduling signal parameters It is possible to further realize the adjustment judgment of the scheduling. Specifically, by accumulating the predicted value of the road condition performance and the adjustment of the cumulative year status of the maintenance coefficient , determine the size of the scheduling signal according to the result of the ratio calculation. The scheduling signal parameters reflect the change of 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 preset 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 (priority adjustable). The scheduling of this design is applicable to the real-time scheduling process and is adjusted in real time according to the size of the scheduling signal parameters.

[0080] Among them, the maintenance application coefficient is adjusted according to the value exceeding the standard in the actual maintenance coefficient. Since ∈ then scheduling analysis is required to provide the calculation of the maintenance application coefficient. On this premise, ; and the maintenance application coefficient Changes with the maintenance coefficient in different years.

[0081] As an implementation manner of the present invention, the patrol inspection module includes:

[0082] Compare the scheduling signal parameters with the preset scheduling signal parameter threshold range as follows:

[0083] If < , it is determined to strengthen the scheduling and improve the patrol inspection level;

[0084] If ∈ , it is determined to continue to execute the current scheduling and keep the patrol inspection level unchanged;

[0085] If > , it is determined to weaken the scheduling and lower the patrol inspection level.

[0086] In the above technical solution, by analyzing the obtained scheduling signal parameters, according to the scheduling signal parameters and the preset scheduling signal parameter threshold range to compare, the corresponding patrol inspection method is implemented, and the patrol inspection results of each patrol inspection method are fed back to the data acquisition module; the specific comparison content is: when it is determined that the scheduling signal parameter is less than the threshold , it is necessary to strengthen the scheduling process, and the feedback to the data acquisition module is to improve the original patrol inspection level; if when the scheduling signal parameter belongs to the standard range, it is determined that the current scheduling arrangement is reasonable, continue to execute the current scheduling, and keep the patrol inspection level; for the case where it is greater than the scheduling signal parameter , it is necessary to weaken the scheduling signal setting and lower the patrol inspection level.

[0087] The present invention also designs an integrated highway maintenance management system, including an integrated highway maintenance management platform; and at least one device communicating with the integrated highway maintenance management platform.

[0088] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other, and the key points of each embodiment are 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 refer to the partial description of the method embodiments.

[0089] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art to which the present technology pertains may make various modifications or supplements to the described specific embodiments, or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by this application, and shall 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 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; To preset the initial maintenance level; 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; 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 1 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.

6. 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 5; and at least one device that communicates with the integrated highway maintenance management platform.

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