Intelligent high-speed full-life-cycle operation management evaluation method and system, electronic equipment and storage medium

Abstract

The invention discloses an intelligent expressway full-life-cycle operation management evaluation method and system, electronic equipment and a storage medium, and the method comprises the steps: S1, carrying out the modeling of an intelligent expressway evaluation system for the score distribution of all indexes of a target intelligent expressway through employing an analytic hierarchy process, decomposing the index system into a target layer, an index layer and a data layer from top to bottom; s2, further decomposing the index layer and the data layer into sub-layers according to specific evaluation contents, and classifying target layers of the evaluation system; and S3, forming an intelligent high-speed evaluation calculation model, grading intelligent high-speed comprehensive conditions, and realizing a technology implementation state quantitative evaluation model. The technical condition, the service condition and the maintenance condition of the intelligent expressway can be evaluated, quantitative evaluation of the intelligent expressway is achieved, the current intelligence level and weakness of the intelligent expressway are truly reflected, and the future construction development direction is defined.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent traffic control management, and relates to a life cycle operation management evaluation method, and in particular to a full life cycle operation management evaluation method, system, electronic equipment and storage medium for intelligent highways. Background Art

[0002] In recent years, smart highways have developed rapidly, and the volume of existing highways is also very large. How to carry out targeted and forward-looking maintenance and management of highway facilities is crucial. Smart highways are a new form of highways in the big data era, and are an extension and innovation of the traditional highway system.

[0003] At present, traditional highways are mainly guided by the correct function of each component in the system, while smart highways are oriented towards management and service, focusing on the use and release of data, and more on the functional integration within the system. Since smart highways have completely different characteristics from traditional highways, the goals and priorities of their operation and management should be changed. Their service objects are wider and their facilities are richer. The traditional maintenance concept centered on facility asset management is no longer in line with the development trend. It is necessary to improve and update the existing highway evaluation system in combination with the facility characteristics and operation goals of smart highways, so that it is more in line with the management needs of the entire life cycle of facilities under the background of smart highway construction.

[0004] In view of this, there is an urgent need to design a new life cycle operation management evaluation method to overcome at least some of the above-mentioned defects of the existing life cycle operation management evaluation method. Summary of the invention

[0005] The present invention provides a method, system, electronic device and storage medium for evaluating the operation and management of a smart highway throughout its entire life cycle, which can evaluate the technical status, service status and maintenance status of the smart highway, thereby realizing a quantitative evaluation of the smart highway, truly reflecting the current intelligence level and shortcomings of the smart highway, and clarifying the future construction and development direction.

[0006] To solve the above technical problem, according to one aspect of the present invention, the following technical solution is adopted:

[0007] A method for evaluating the operation and management of a smart highway throughout its life cycle, the method comprising:

[0008] Step S1: The score distribution of each indicator of the target smart highway is used to model the smart highway evaluation system by using the hierarchical analysis method, and the indicator system is decomposed from top to bottom into the target layer, the indicator layer and the data layer;

[0009] Step S2, the indicator layer and the data layer are further decomposed into sub-layers according to the specific evaluation content, and the target layer of the evaluation system is classified;

[0010] Step S3: Form a smart highway evaluation calculation model, classify the comprehensive conditions of smart highways, and realize a quantitative evaluation model for the technical implementation status.

[0011] As an implementation mode of the present invention, in step S3, the smart highway evaluation calculation model divides the comprehensive condition of the smart highway into five levels, including: intact, good, qualified, unqualified, and dangerous; the smart highway evaluation calculation model adopts the smart highway comprehensive condition index CI calculation; the specific steps are as follows:

[0012] Step S31, smart highway comprehensive condition index CI:

[0013] CI=CFI·ω c1 +EFI·ω c2 +OPI·ω c3

[0014] Among them, CFI is the technical condition index of civil facilities, EFI is the technical condition index of electromechanical facilities, OPI is the operation service level index, ω c1 is the weight value of civil construction facilities status, ω c2 is the weight value of the electromechanical facilities condition, ω c3 is the weight value of the operation service level;

[0015] Step S32: The classification of the comprehensive index of the smart highway is as follows:

[0016]

[0017] Step S33: The civil construction facility technical condition index CFI is calculated as follows:

[0018] CFI=SCI·ω s1 +PQI·ω s2 +BCI·ω s3 +TCI·ω s4

[0019] Among them, SCI is the subgrade technical condition index, PQI is the pavement performance index, BCI is the bridge and tunnel structure technical condition index, TCI is the ancillary facilities (facilities along the line) technical condition index, ω s1 is the weight value of the subgrade technical condition index, ω s2 is the weight value of the pavement performance index, ω s3 is the weight value of the technical condition index of the bridge and tunnel structure, ω s4 is the weight value of the technical condition index of the ancillary facilities (facilities along the line);

[0020] Step S34: The calculation method of the electromechanical facility technical condition index EFI is as follows:

[0021] EFI=MSI·ω f1 +CSI·ω f2 +CFSI·ω f3 +PSI·ω f4 +ISI·ω f5

[0022] Among them, MSI is the technical status index of the monitoring system, CSI is the technical status index of the charging system, CFSI is the technical status index of the communication system, PSI is the technical status index of the power supply and lighting system, ISI is the technical status index of the information release system, ω f1 is the weight value of the technical status index of the monitoring system, ω f2 is the weight value of the charging system technical status index, ω f3 is the weight value of the communication system technical status index, ω f4 is the weight value of the technical status index of power supply and lighting system, ω f5 is the weight value of the technical status index of the information release system;

[0023] Step S35: The calculation method of the operation service level index OPI is as follows:

[0024] OPI=TOI·ω m1 +MAI·ω m2

[0025] Among them, TOI is the traffic operation level index, MAI is the maintenance management level index, ω m1 is the weight value of the traffic operation level index, ω m2 is the weight value of the maintenance management level index.

[0026] The traffic operation level index TOI in step S36 and step S65 is calculated as follows:

[0027] TOI=TEI·ω to1 +TSI·ω to2 +TII·ω to3 +TGI·ω to4

[0028] Among them, TEI is the traffic efficiency index, TSI is the traffic safety index, TII is the traffic intelligence index, TGI is the traffic green index, ω to1 is the weight value of the traffic efficiency level index, ω to2 is the weight value of traffic safety level index, ω to3 is the weight value of the traffic intelligence level index, ω to4 is the weight value of the traffic green level index;

[0029] The calculation method of the maintenance management level index MMI in step S37 and step S35 is as follows:

[0030] MMI=MEI·ω g1 +MSI·ω g2 +MII·ω g3 +MGI·ω g4

[0031] Among them, MEI is the maintenance efficiency index, MSI is the maintenance safety index, MII is the maintenance wisdom index, MGI is the maintenance green index, ω to1 is the weight value of the maintenance efficiency level index, ω to2 is the weight value of the maintenance safety level index, ω to3 is the weight value of the maintenance wisdom level index, ω g4 It is the weight value of the maintenance green level index.

[0032] As an implementation mode of the present invention, in step S2, the target layer of the evaluation system is divided into three categories: civil construction facilities, electromechanical facilities, and operation services;

[0033] The evaluation of civil facilities includes the main structures of roads, bridges and tunnels and their ancillary facilities;

[0034] The evaluation of electromechanical facilities is based on the current specifications and the electromechanical configuration of the smart highway, and the functional classification, naming method and facility details of the electromechanical facilities are evaluated;

[0035] The operation service evaluation content is divided into four aspects: efficiency, safety, intelligence and green.

[0036] As an implementation mode of the present invention, in step S1, the target layer is oriented to the purpose of the evaluation and the problem to be solved, as a logical system of intelligent high-speed evaluation;

[0037] In step S2, the indicator layer needs to consider the factors involved and the evaluation criteria, and is constructed in multiple layers according to current specifications and forward-looking needs. The data layer needs to consider the parameters for decision-making analysis, comprehensively consider the content and source of the data, and is constructed in multiple layers.

[0038] The civil construction facility evaluation is mainly based on the current national specifications, industry specifications, and enterprise standards, and plays a role in linking with the existing highway evaluation system; the civil construction facility index layer includes roadbed, pavement, bridge and tunnel structures, and ancillary facilities;

[0039] The electromechanical facilities evaluation divides electromechanical facilities into five subsystems, including: monitoring system, charging system, communication system, power supply and distribution system and accompanying information release system;

[0040] The operation service evaluation content mainly focuses on the construction highlights of smart highways, highlighting its characteristics in terms of efficiency, safety, intelligence and greenness.

[0041] According to another aspect of the present invention, the following technical solution is adopted: a smart highway full life cycle operation management evaluation system, the smart highway full life cycle operation management evaluation system comprises:

[0042] The evaluation system modeling module is used to distribute the scores of various indicators of the target smart highway, use the hierarchical analysis method to model the smart highway evaluation system, and decompose the indicator system from top to bottom into the target layer, indicator layer and data layer;

[0043] Evaluation content decomposition module, which is used to further decompose the indicator layer and data layer into sub-layers according to the specific evaluation content and classify the target layer of the evaluation system;

[0044] The evaluation calculation model generation module is used to form an evaluation calculation model for smart highways, classify the comprehensive conditions of smart highways, and realize a quantitative evaluation model for the technical implementation status.

[0045] As an implementation mode of the present invention, the evaluation calculation model generation module divides the comprehensive condition of the smart highway into five levels, including: intact, good, qualified, unqualified, and dangerous; the smart highway evaluation calculation model adopts the smart highway comprehensive condition index CI calculation; the generation method of the evaluation calculation model generation module includes the following steps:

[0046] Step S31, smart highway comprehensive condition index CI:

[0047] CI=CFI·ω c1 +EFI·ω c2 +OPI·ω c3

[0048] Among them, CFI is the technical condition index of civil facilities, EFI is the technical condition index of electromechanical facilities, OPI is the operation service level index, ω c1 is the weight value of civil construction facilities status, ω c2 is the weight value of the electromechanical facilities condition, ω c3 is the weight value of the operation service level;

[0049] Step S32: The classification of the comprehensive index of the smart highway is as follows:

[0050]

[0051] Step S33: The civil construction facility technical condition index CFI is calculated as follows:

[0052] CFI=SCI·ω s1 +PQI·ωs2 +BCI·ω s3 +TCI·ω s4

[0053] Among them, SCI is the subgrade technical condition index, PQI is the pavement performance index, BCI is the bridge and tunnel structure technical condition index, TCI is the ancillary facilities (facilities along the line) technical condition index, ω s1 is the weight value of the subgrade technical condition index, ω s2 is the weight value of the pavement performance index, ω s3 is the weight value of the technical condition index of the bridge and tunnel structure, ω s4 is the weight value of the technical condition index of the ancillary facilities (facilities along the line);

[0054] Step S34: The calculation method of the electromechanical facility technical condition index EFI is as follows:

[0055] EFI=MSI·ω f1 +CSI·ω f2 +CFSI·ω f3 +PSI·ω f4 +ISI·ω f5

[0056] Among them, MSI is the technical status index of the monitoring system, CSI is the technical status index of the charging system, CFSI is the technical status index of the communication system, PSI is the technical status index of the power supply and lighting system, ISI is the technical status index of the information release system, ω f1 is the weight value of the technical status index of the monitoring system, ω f2 is the weight value of the charging system technical status index, ω f3 is the weight value of the communication system technical status index, ω f4 is the weight value of the technical status index of power supply and lighting system, ω f5 is the weight value of the technical status index of the information release system;

[0057] Step S35: The calculation method of the operation service level index OPI is as follows:

[0058] OPI=TOI·ω m1 +MAI·ω m2

[0059] Among them, TOI is the traffic operation level index, MAI is the maintenance management level index, ω m1 is the weight value of the traffic operation level index, ω m2 is the weight value of the maintenance management level index.

[0060] The traffic operation level index TOI in step S36 and step S35 is calculated as follows:

[0061] TOI=TEI·ω to1 +TSI·ω to2 +TII·ω to3 +TGI·ω to4

[0062] Among them, TEI is the traffic efficiency index, TSI is the traffic safety index, TII is the traffic intelligence index, TGI is the traffic green index, ω to1 is the weight value of the traffic efficiency level index, ω to2 is the weight value of traffic safety level index, ω to3 is the weight value of the traffic intelligence level index, ω to4 is the weight value of the traffic green level index;

[0063] The calculation method of the maintenance management level index MMI in step S37 and step S35 is as follows:

[0064] MMI=MEI·ω g1 +MSI·ω g2 +MII·ω g3 +MGI·ω g4

[0065] Among them, MEI is the maintenance efficiency index, MSI is the maintenance safety index, MII is the maintenance wisdom index, MGI is the maintenance green index, ω to1 is the weight value of the maintenance efficiency level index, ω to2 is the weight value of the maintenance safety level index, ω to3 is the weight value of the maintenance wisdom level index, ω g4 It is the weight value of the maintenance green level index.

[0066] As an implementation mode of the present invention, the evaluation content decomposition module divides the target layer of the evaluation system into three categories: civil construction facilities, electromechanical facilities, and operation services;

[0067] The evaluation of civil facilities includes the main structures of roads, bridges and tunnels and their ancillary facilities;

[0068] The evaluation of electromechanical facilities is based on the current specifications and the electromechanical configuration of the smart highway, and the functional classification, naming method and facility details of the electromechanical facilities are evaluated;

[0069] The operation service evaluation content is divided into four aspects: efficiency, safety, intelligence and green.

[0070] As an implementation of the present invention, the target level is oriented to consider the purpose of evaluation and the problem to be solved, as a logical system of intelligent high-speed evaluation;

[0071] The indicator layer needs to consider the factors involved and the evaluation criteria, and be constructed in multiple layers according to the current norms and forward-looking needs. The data layer needs to consider the parameters for decision-making analysis, and comprehensively consider the content and source of the data, and be constructed in multiple layers.

[0072] The evaluation of civil construction facilities is mainly based on the current national standards, industry standards, and enterprise standards, and plays a role in linking with the existing highway evaluation system. The civil construction facility index layer includes roadbed, pavement, bridge and tunnel structures, and ancillary facilities;

[0073] The electromechanical facilities evaluation divides electromechanical facilities into five subsystems, including: monitoring system, charging system, communication system, power supply and distribution system and accompanying information release system;

[0074] The operation service evaluation content mainly focuses on the construction highlights of smart highways, highlighting its characteristics in terms of efficiency, safety, intelligence and greenness.

[0075] According to another aspect of the present invention, the following technical solution is adopted: an electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0076] According to another aspect of the present invention, the following technical solution is adopted: a storage medium stores computer program instructions, and the computer program instructions implement the steps of the above method when executed by a processor.

[0077] The beneficial effects of the present invention are as follows: the method, system, electronic device and storage medium for evaluating the operation and management of a smart highway throughout its life cycle proposed in the present invention are based on the level of maintenance and management units, clarify the development goals of the smart highway, and rationally classify the development goals according to the theory of hierarchical analysis. The data accumulated over the years in the construction of highway informatization are fully utilized to design a support system, and the technical status, service status and maintenance status of the smart highway can be evaluated, thereby realizing a quantitative evaluation of the smart highway, truly reflecting the current level of intelligence and shortcomings of the smart highway, and clarifying the future direction of construction and development.

[0078] The present invention uses expert scoring method, analytic hierarchy process and other analysis methods to establish weight models between various levels and elements, forming a relatively complete smart highway evaluation system, solving the problems that the current smart highway evaluation system is incomplete, unable to quantitatively evaluate its intelligence level, and unable to scientifically discover its operational shortcomings. At the same time, it solves the problem that smart highways are difficult to truly serve actual projects due to the large number of indicators involved and the complex sources and composition of supporting data. It has the characteristics of being replicable and robust. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 The flowchart of the operation management evaluation method in one embodiment of the present invention.

[0080] Figure 2 Schematic diagram of the composition of an operation management evaluation system in one embodiment of the present invention.

[0081] Figure 3 Schematic diagram of the composition of the smart highway evaluation standard system in one embodiment of the present invention.

[0082] Figure 4 It is a schematic diagram of the indicator layer composition of the civil construction facilities of the operation management evaluation method in one embodiment of the present invention.

[0083] Figure 5 Schematic diagram of the index layer composition of electromechanical facilities in the operation management evaluation method in one embodiment of the present invention.

[0084] Figure 6 This is a schematic diagram of the composition of the indicator layer of the operation service of the operation management evaluation method in one embodiment of the present invention.

[0085] Figure 7 FIG. 4 is a schematic diagram of the composition of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0086] The preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0087] In order to further understand the present invention, preferred embodiments of the present invention are described below in conjunction with examples. However, it should be understood that these descriptions are only for further illustrating the features and advantages of the present invention, rather than limiting the claims of the present invention.

[0088] The description in this section is only for several typical embodiments, and the present invention is not limited to the scope of the embodiments. The same or similar prior art means and some technical features in the embodiments are mutually replaced within the scope of the present invention.

[0089] The description of the steps in each embodiment in the specification is only for the convenience of explanation, and the implementation method of the present application is not limited by the order of implementation of the steps.

[0090] The term “connection” in the specification includes both direct connection and indirect connection.

[0091] The present invention discloses a method for evaluating the operation and management of a smart highway throughout its life cycle. Figure 1 This is a flow chart of an operation management evaluation method in one embodiment of the present invention; please refer to Figure 1 The evaluation method for the operation and management of the entire life cycle of the smart highway includes:

[0092] [Step S1] The score distribution of each indicator of the target smart highway is used to model the smart highway evaluation system using the hierarchical analysis method, and the indicator system is decomposed from top to bottom into the target layer, indicator layer and data layer (see Figure 3 shown).

[0093] In one embodiment of the present invention, in step S1, the target layer is oriented toward the purpose of the evaluation and the problem to be solved, as a logical system of intelligent and high-speed evaluation.

[0094] [Step S2] The indicator layer and the data layer are further decomposed into sub-layers according to the specific evaluation content, and the target layer of the evaluation system is classified.

[0095] In one embodiment of the present invention, the target layer of the evaluation system is divided into three categories: civil construction facilities, electromechanical facilities, and operation services. The evaluation of civil construction facilities includes roads, bridge and tunnel main structures and ancillary facilities; the evaluation of electromechanical facilities combines the current specifications and the electromechanical configuration of smart highways to evaluate the functional classification, naming method and facility details of electromechanical facilities; the evaluation of operation services is divided into four aspects: high efficiency, safety, intelligence, and green.

[0096] The indicator layer needs to consider the factors involved and the evaluation criteria, and be constructed in multiple layers based on current specifications and forward-looking needs. The data layer needs to consider the parameters for decision-making analysis, and comprehensively consider the content and source of the data, and be constructed in multiple layers.

[0097] The civil construction facility evaluation is mainly based on the current national standards, industry standards, and enterprise standards, and plays a role in linking with the existing highway evaluation system. The civil construction facility index layer includes roadbed, pavement, bridge and tunnel structures, and ancillary facilities, such as Figure 4 shown.

[0098] The electromechanical facilities evaluation combines the current specifications and the electromechanical configuration of smart highways, further optimizes and expands the functional classification, naming method and facility details of electromechanical facilities, and reflects the electromechanical configuration characteristics of smart highways. The electromechanical facilities are divided into five subsystems, including: monitoring system, toll collection system, communication system, power supply and distribution system and accompanying information release system, such as Figure 5 shown.

[0099] The evaluation of the operation services mentioned above mainly focuses on the construction highlights of smart highways, highlighting their characteristics in terms of efficiency, safety, intelligence and greenness, such as Figure 6 shown.

[0100] [Step S3] A smart highway evaluation calculation model is formed, the comprehensive status of the smart highway is divided into five levels, and a quantitative evaluation model of the technical implementation status is realized.

[0101] In one embodiment of the present invention, in step S3, the smart highway evaluation calculation model divides the comprehensive status of the smart highway into five levels, including: intact, good, qualified, unqualified, and dangerous; the smart highway evaluation calculation model adopts the smart highway comprehensive status index CI calculation; the specific steps are as follows:

[0102] Step S31, smart highway comprehensive condition index CI:

[0103] CI=CFI·ω c1 +EFI·ω c2 +OPI·ω c3

[0104] Among them, CFI is the technical condition index of civil facilities, EFI is the technical condition index of electromechanical facilities, OPI is the operation service level index, ω c1 is the weight value of civil construction facilities status, ω c2 is the weight value of the electromechanical facilities condition, ω c3 is the weight value of the operation service level;

[0105] Step S32: The classification of the comprehensive index of the smart highway is as follows:

[0106]

[0107] Step S33: The civil construction facility technical condition index CFI is calculated as follows:

[0108] CFI=SCI·ω s1 +PQI·ω s2 +BCI·ω s3 +TCI·ω s4

[0109] Among them, SCI is the subgrade technical condition index, PQI is the pavement performance index, BCI is the bridge and tunnel structure technical condition index, TCI is the ancillary facilities (facilities along the line) technical condition index, ω s1 is the weight value of the subgrade technical condition index, ω s2 is the weight value of the pavement performance index, ω s3 is the weight value of the technical condition index of the bridge and tunnel structure, ω s4 is the weight value of the technical condition index of the ancillary facilities (facilities along the line);

[0110] Step S34: The calculation method of the electromechanical facility technical condition index EFI is as follows:

[0111] EFI=MSI·ω f1 +CSI·ω f2 +CFSI·ω f3 +PSI·ω f4 +ISI·ωf5

[0112] Among them, MSI is the technical status index of the monitoring system, CSI is the technical status index of the charging system, CFSI is the technical status index of the communication system, PSI is the technical status index of the power supply and lighting system, ISI is the technical status index of the information release system, ω f1 is the weight value of the technical status index of the monitoring system, ω f2 is the weight value of the charging system technical status index, ω f3 is the weight value of the communication system technical status index, ω f4 is the weight value of the technical status index of power supply and lighting system, ω f5 is the weight value of the technical status index of the information release system;

[0113] Step S35: The calculation method of the operation service level index OPI is as follows:

[0114] OPI=TOI·ω m1 +MAI·ω m2

[0115] Among them, TOI is the traffic operation level index, MAI is the maintenance management level index, ω m1 is the weight value of the traffic operation level index, ω m2 is the weight value of the maintenance management level index.

[0116] The traffic operation level index TOI in step S36 and step S35 is calculated as follows:

[0117] TOI=TEI·ω to1 +TSI·ω to2 +TII·ω to3 +TGI·ω to4

[0118] Among them, TEI is the traffic efficiency index, TSI is the traffic safety index, TII is the traffic intelligence index, TGI is the traffic green index, ω to1 is the weight value of the traffic efficiency level index, ω to2 is the weight value of traffic safety level index, ω to3 is the weight value of the traffic intelligence level index, ω to4 is the weight value of the traffic green level index;

[0119] The calculation method of the maintenance management level index MMI in step S37 and step S35 is as follows:

[0120] MMI=MEI·ω g1 +MSI·ω g2 +MII·ω g3 +MGI·ωg4

[0121] Among them, MEI is the maintenance efficiency index, MSI is the maintenance safety index, MII is the maintenance wisdom index, MGI is the maintenance green index, ω to1 is the weight value of the maintenance efficiency level index, ω to2 is the weight value of the maintenance safety level index, ω to3 is the weight value of the maintenance wisdom level index, ω g4 It is the weight value of the maintenance green level index.

[0122] Tables 1 to 4 are respectively a smart highway hierarchical management suggestion table, a civil facility technical condition evaluation weight scheme table, an electromechanical facility technical condition evaluation weight scheme table, and an operation service level evaluation weight scheme table in one embodiment of the present invention. Those skilled in the art may make adjustments as needed.

[0123] Table 1 Recommendations for hierarchical management of smart highways

[0124]

[0125]

[0126] Table 2 Weight scheme for evaluation of technical status of civil construction facilities

[0127]

[0128]

[0129]

[0130] Table 3 Weight scheme for evaluation of technical status of electromechanical facilities

[0131]

[0132] Table 4 Operation service level evaluation weight scheme

[0133]

[0134]

[0135]

[0136] The present invention further discloses a smart highway full life cycle operation management evaluation system. Figure 2 This is a schematic diagram of the composition of the operation management evaluation system in one embodiment of the present invention; please refer to Figure 2 The smart highway full life cycle operation management evaluation system includes: an evaluation system modeling module 1, an evaluation content decomposition module 2 and an evaluation calculation model generation module 3.

[0137] The evaluation system modeling module 1 is used to distribute the scores of various indicators of the target smart highway, use the hierarchical analysis method to model the smart highway evaluation system, and decompose the indicator system from top to bottom into a target layer, an indicator layer and a data layer;

[0138] The evaluation content decomposition module 2 is used to further decompose the indicator layer and the data layer into sub-layers according to the specific evaluation content, and classify the target layer of the evaluation system;

[0139] The evaluation calculation model generation module 3 is used to form a smart highway evaluation calculation model, classify the comprehensive conditions of the smart highway, and realize a quantitative evaluation model of the technical implementation status.

[0140] In one embodiment of the present invention, the evaluation content decomposition module 2 divides the target layer of the evaluation system into three major categories: civil facilities, electromechanical facilities, and operation services; the civil facilities evaluation includes roads, bridge and tunnel main structures and ancillary facilities; the electromechanical facilities evaluation combines the current specifications and the electromechanical configuration of smart highways to evaluate the functional classification, naming method and facility details of electromechanical facilities; the operation service evaluation content is divided into four aspects: efficiency, safety, intelligence, and green for evaluation.

[0141] The target layer is oriented towards the purpose of the evaluation and the problems to be solved, as a logical system for the evaluation of smart highways. The indicator layer needs to consider the factors involved and the evaluation criteria, and is constructed in multiple layers based on the current specifications and forward-looking needs. The data layer needs to consider the parameters for decision-making analysis, and is constructed in multiple layers by comprehensively considering the content and source of the data. The evaluation of civil facilities is mainly based on the current national specifications, industry specifications, and enterprise standards, and plays a role in connecting with the existing highway evaluation system. The civil facilities indicator layer includes roadbed, pavement, bridge and tunnel structures, and ancillary facilities. The electromechanical facility evaluation divides electromechanical facilities into five subsystems, including: monitoring system, toll collection system, communication system, power supply and distribution system, and accompanying information release system. The content of the operation service evaluation is mainly oriented towards the construction highlights of smart highways, highlighting their characteristics in terms of efficiency, safety, intelligence, and greenness.

[0142] In one embodiment of the present invention, the evaluation calculation model generation module 3 divides the comprehensive status of the smart highway into five levels, including: intact, good, qualified, unqualified, and dangerous; the smart highway evaluation calculation model adopts the smart highway comprehensive status index CI calculation; the generation method of the evaluation calculation model generation module includes the following steps:

[0143] Step S31, smart highway comprehensive condition index CI:

[0144] CI=CFI·ω c1 +EFI·ωc2 +OPI·ω c3

[0145] Among them, CFI is the technical condition index of civil facilities, EFI is the technical condition index of electromechanical facilities, OPI is the operation service level index, ω c1 is the weight value of civil construction facilities status, ω c2 is the weight value of the electromechanical facilities condition, ω c3 is the weight value of the operation service level;

[0146] Step S32: The classification of the comprehensive index of the smart highway is as follows:

[0147]

[0148] Step S33: The civil construction facility technical condition index CFI is calculated as follows:

[0149] CFI=SCI·ω s1 +PQI·ω s2 +BCI·ω s3 +TCI·ω s4

[0150] Among them, SCI is the subgrade technical condition index, PQI is the pavement performance index, BCI is the bridge and tunnel structure technical condition index, TCI is the ancillary facilities (facilities along the line) technical condition index, ω s1 is the weight value of the subgrade technical condition index, ω s2 is the weight value of the pavement performance index, ω s3 is the weight value of the technical condition index of the bridge and tunnel structure, ω s4 is the weight value of the technical condition index of the ancillary facilities (facilities along the line);

[0151] Step S34: The calculation method of the electromechanical facility technical condition index EFI is as follows:

[0152] EFI=MSI·ω f1 +CSI·ω f2 +CFSI·ω f3 +PSI·ω f4 +ISI·ω f5

[0153] Among them, MSI is the technical status index of the monitoring system, CSI is the technical status index of the charging system, CFSI is the technical status index of the communication system, PSI is the technical status index of the power supply and lighting system, ISI is the technical status index of the information release system, ω f1 is the weight value of the technical status index of the monitoring system, ω f2 is the weight value of the charging system technical status index, ω f3is the weight value of the communication system technical status index, ω f4 is the weight value of the technical status index of power supply and lighting system, ω f5 is the weight value of the technical status index of the information release system;

[0154] Step S35: The calculation method of the operation service level index OPI is as follows:

[0155] OPI=TOI·ω m1 +MAI·ω m2

[0156] Among them, TOI is the traffic operation level index, MAI is the maintenance management level index, ω m1 is the weight value of the traffic operation level index, ω m2 is the weight value of the maintenance management level index.

[0157] The traffic operation level index TOI in step S36 and step S35 is calculated as follows:

[0158] TOI=TEI·ω to1 +TSI·ω to2 +TII·ω to3 +TGI·ω to4

[0159] Among them, TEI is the traffic efficiency index, TSI is the traffic safety index, TII is the traffic intelligence index, TGI is the traffic green index, ω to1 is the weight value of the traffic efficiency level index, ω to2 is the weight value of traffic safety level index, ω to3 is the weight value of the traffic intelligence level index, ω to4 is the weight value of the traffic green level index;

[0160] The calculation method of the maintenance management level index MMI in step S37 and step S35 is as follows:

[0161] MMI=MEI·ω g1 +MSI·ω g2 +MII·ω g3 +MGI·ω g4

[0162] Among them, MEI is the maintenance efficiency index, MSI is the maintenance safety index, MII is the maintenance wisdom index, MGI is the maintenance green index, ω to1 is the weight value of the maintenance efficiency level index, ω to2 is the weight value of the maintenance safety level index, ω to3 is the weight value of the maintenance wisdom level index, ω g4It is the weight value of the maintenance green level index.

[0163] The present invention also discloses an electronic device, Figure 7 FIG. 1 is a schematic diagram of the composition of an electronic device in an embodiment of the present invention; please refer to FIG. Figure 7 At the hardware level, the electronic device includes a memory, a processor and at least one network interface; the processor may be a microprocessor, and the memory may include a memory, such as a random access memory (RAM), or a non-volatile memory, etc. Of course, the electronic device may also be provided with other hardware as required.

[0164] The processor, network interface and memory may be interconnected via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus may include an address bus, a data bus, a control bus, etc. The memory is used to store programs (which may include operating system programs and application programs); the program may include program code, which may include computer operation instructions. The memory may include internal memory and non-volatile memory, and provides instructions and data to the processor.

[0165] In one embodiment, the processor can read the corresponding program from the non-volatile memory into the memory and then run it; the processor can execute the program stored in the memory and is specifically used to perform the following operations (such as Figure 2 shown):

[0166] [Step S1] The score distribution of each indicator of the target smart highway is used to model the smart highway evaluation system using the hierarchical analysis method, and the indicator system is decomposed from top to bottom into the target layer, indicator layer and data layer.

[0167] [Step S2] The indicator layer and the data layer are further decomposed into sub-layers according to the specific evaluation content, and the target layer of the evaluation system is classified.

[0168] [Step S3] A smart highway evaluation calculation model is formed, the comprehensive status of the smart highway is divided into five levels, and a quantitative evaluation model of the technical implementation status is realized.

[0169] The present invention further discloses a storage medium having computer program instructions stored thereon, which, when executed by a processor, implements the following steps of the method of the present invention (eg Figure 2 shown):

[0170] [Step S1] The score distribution of each indicator of the target smart highway is used to model the smart highway evaluation system using the hierarchical analysis method, and the indicator system is decomposed from top to bottom into the target layer, indicator layer and data layer.

[0171] [Step S2] The indicator layer and the data layer are further decomposed into sub-layers according to the specific evaluation content, and the target layer of the evaluation system is classified.

[0172] [Step S3] A smart highway evaluation calculation model is formed, the comprehensive status of the smart highway is divided into five levels, and a quantitative evaluation model of the technical implementation status is realized.

[0173] In summary, the method, system, electronic device and storage medium for evaluating the operation and management of the entire life cycle of a smart highway proposed in the present invention are based on the level of maintenance and management units, clarify the development goals of smart highways, and rationally classify the development goals according to the theory of hierarchical analysis. It makes full use of the data accumulated over the years in the construction of highway informatization to design a support system, and can evaluate the technical status, service status and maintenance status of smart highways, thus realizing a quantitative evaluation of smart highways, truly reflecting the current level of intelligence and shortcomings of smart highways, and clarifying the future direction of construction and development.

[0174] The present invention uses expert scoring method, analytic hierarchy process and other analysis methods to establish weight models between various levels and elements, forming a relatively complete smart highway evaluation system, solving the problems that the current smart highway evaluation system is incomplete, unable to quantitatively evaluate its intelligence level, and unable to scientifically discover its operational shortcomings. At the same time, it solves the problem that smart highways are difficult to truly serve actual projects due to the large number of indicators involved and the complex sources and composition of supporting data. It has the characteristics of being replicable and robust.

[0175] It should be noted that the present application can be implemented in software and / or a combination of software and hardware; for example, it can be implemented using an application-specific integrated circuit (ASIC), a general-purpose computer, or any other similar hardware device. In some embodiments, the software program of the present application can be executed by a processor to implement the above steps or functions. Similarly, the software program of the present application (including related data structures) can be stored in a computer-readable recording medium; for example, a RAM memory, a magnetic or optical drive or a floppy disk and the like. In addition, some steps or functions of the present application can be implemented in hardware; for example, as a circuit that cooperates with a processor to perform various steps or functions.

[0176] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0177] The description and application of the present invention here are illustrative, and it is not intended to limit the scope of the present invention to the above-mentioned embodiments. The effects or advantages involved in the embodiments may not be embodied in the embodiments due to interference from various factors, and the description of the effects or advantages is not used to limit the embodiments. The deformation and change of the embodiments disclosed here are possible, and the replacement of the embodiments and the various equivalent parts are well known to those of ordinary skill in the art. It should be clear to those skilled in the art that the present invention can be implemented in other forms, structures, arrangements, proportions, and with other components, materials and parts without departing from the spirit or essential features of the present invention. Other deformations and changes can be made to the embodiments disclosed here without departing from the scope and spirit of the present invention.

Claims

1. A method for evaluating the operation and management of a smart highway throughout its life cycle, characterized in that: The smart highway full life cycle operation management evaluation method includes: Step S1: The score distribution of each indicator of the target smart highway is used to model the smart highway evaluation system by using the hierarchical analysis method, and the indicator system is decomposed from top to bottom into the target layer, the indicator layer and the data layer; Step S2, the indicator layer and the data layer are further decomposed into sub-layers according to the specific evaluation content, and the target layer of the evaluation system is classified; Step S3: Form a smart highway evaluation calculation model, classify the comprehensive conditions of smart highways, and realize a quantitative evaluation model for the technical implementation status.

2. The method for evaluating the operation and management of a smart highway throughout its life cycle according to claim 1 is characterized by: In step S3, the smart highway evaluation calculation model divides the comprehensive status of the smart highway into five levels, including: intact, good, qualified, unqualified, and dangerous; the smart highway evaluation calculation model uses the smart highway comprehensive status index CI for calculation; the specific steps are as follows: Step S31, smart highway comprehensive condition index CI: CI=CFI·ω c1 +EFI·oh c2 +OPI·oh c3 Among them, CFI is the technical condition index of civil facilities, EFI is the technical condition index of electromechanical facilities, OPI is the operation service level index, ω c1 is the weight value of civil construction facilities status, ω c2 is the weight value of the electromechanical facilities condition, ω c3 is the weight value of the operation service level; Step S32: The classification of the comprehensive index of the smart highway is as follows: Step S33: The civil construction facility technical condition index CFI is calculated as follows: CFI=SCI·ω s1 +PQI·h s2 +BCI·ω s3 +TCI·oh s4 Among them, SCI is the subgrade technical condition index, PQI is the pavement performance index, BCI is the bridge and tunnel structure technical condition index, TCI is the ancillary facilities (facilities along the line) technical condition index, ω s1 is the weight value of the subgrade technical condition index, ω s2 is the weight value of the pavement performance index, ω s3 is the weight value of the technical condition index of the bridge and tunnel structure, ω s4 is the weight value of the technical condition index of the ancillary facilities (facilities along the line); Step S34: The calculation method of the electromechanical facility technical condition index EFI is as follows: EFI=MSI·ω f1 +CSI·ω f2 +CFSI·ω f3 +PSI·h f4 +ISI·oh f5 Among them, MSI is the technical status index of the monitoring system, CSI is the technical status index of the charging system, CFSI is the technical status index of the communication system, PSI is the technical status index of the power supply and lighting system, ISI is the technical status index of the information release system, ω f1 is the weight value of the technical status index of the monitoring system, ω f2 is the weight value of the charging system technical status index, ω f3 is the weight value of the communication system technical status index, ω f4 is the weight value of the technical status index of power supply and lighting system, ω f5 is the weight value of the technical status index of the information release system; Step S35: The calculation method of the operation service level index OPI is as follows: OPI=TOI·ω m1 +NEVER ω m2 Among them, TOI is the traffic operation level index, MAI is the maintenance management level index, ω m1 is the weight value of the traffic operation level index, ω m2 is the weight value of the maintenance and management level index; The traffic operation level index TOI in step S36 and step S65 is calculated as follows: TOI=TEI·o to1 +TSI·h to2 +TII·oh to3 +TGI·oh to4 Among them, TEI is the traffic efficiency index, TSI is the traffic safety index, TII is the traffic intelligence index, TGI is the traffic green index, ω to1 is the weight value of the traffic efficiency level index, ω to2 is the weight value of traffic safety level index, ω to3 is the weight value of the traffic intelligence level index, ω to4 is the weight value of the traffic green level index; The calculation method of the maintenance management level index MMI in step S37 and step S35 is as follows: MMI=MEI·h g1 +MSI·h g2 +MII·oh g3 +MGI·oh g4 Among them, MEI is the maintenance efficiency index, MSI is the maintenance safety index, MII is the maintenance wisdom index, MGI is the maintenance green index, ω to1 is the weight value of the maintenance efficiency level index, ω to2 is the weight value of the maintenance safety level index, ω to3 is the weight value of the maintenance wisdom level index, ω g4 It is the weight value of the maintenance green level index.

3. The method for evaluating the operation and management of a smart highway throughout its life cycle according to claim 1 is characterized by: In step S2, the target layer of the evaluation system is divided into three categories: civil facilities, electromechanical facilities, and operation services; The evaluation of civil facilities includes the main structures of roads, bridges and tunnels and their ancillary facilities; The evaluation of electromechanical facilities is based on the current specifications and the electromechanical configuration of the smart highway, and the functional classification, naming method and facility details of the electromechanical facilities are evaluated; The operation service evaluation content is divided into four aspects: efficiency, safety, intelligence and green.

4. The method for evaluating the operation and management of the entire life cycle of a smart highway according to claim 3 is characterized by: In step S1, the target level is oriented to the purpose of the evaluation and the problem to be solved, as a logical system of intelligent high-speed evaluation; In step S2, the indicator layer needs to consider the factors involved and the evaluation criteria, and is constructed in multiple layers according to the current specifications and forward-looking requirements. The data layer needs to consider the parameters for decision-making analysis, and is constructed in multiple layers by comprehensively considering the content and source of the data; The civil construction facilities evaluation is mainly based on the current national standards, industry standards, and enterprise standards, and plays a role in linking with the existing highway evaluation system; The civil construction facilities index layer includes roadbed, pavement, bridge and tunnel structures, and ancillary facilities; The electromechanical facilities evaluation divides electromechanical facilities into five subsystems, including: monitoring system, charging system, communication system, power supply and distribution system and accompanying information release system; The operation service evaluation content mainly focuses on the construction highlights of smart highways, highlighting its characteristics in terms of efficiency, safety, intelligence and greenness.

5. A smart highway full life cycle operation management evaluation system, characterized in that: The smart highway full life cycle operation management evaluation system includes: The evaluation system modeling module is used to distribute the scores of various indicators of the target smart highway, use the hierarchical analysis method to model the smart highway evaluation system, and decompose the indicator system from top to bottom into the target layer, indicator layer and data layer; Evaluation content decomposition module, which is used to further decompose the indicator layer and data layer into sub-layers according to the specific evaluation content and classify the target layer of the evaluation system; The evaluation calculation model generation module is used to form an evaluation calculation model for smart highways, classify the comprehensive conditions of smart highways, and realize a quantitative evaluation model for the technical implementation status.

6. The intelligent highway full life cycle operation management evaluation system according to claim 5 is characterized by: The evaluation calculation model generation module divides the comprehensive status of the smart highway into five levels, including: intact, good, qualified, unqualified, and dangerous; the smart highway evaluation calculation model adopts the smart highway comprehensive status index CI calculation; the generation method of the evaluation calculation model generation module includes the following steps: Step S31, smart highway comprehensive condition index CI: CI=CFI·ω c1 +EFI·oh c2 +OPI·oh c3 Among them, CFI is the technical condition index of civil facilities, EFI is the technical condition index of electromechanical facilities, OPI is the operation service level index, ω c1 is the weight value of civil construction facilities status, ω c2 is the weight value of the electromechanical facilities condition, ω c3 is the weight value of the operation service level; Step S32: The classification of the comprehensive index of the smart highway is as follows: Step S33: The civil construction facility technical condition index CFI is calculated as follows: CFI=SCI·ω s1 +PQI·h s2 +BCI·ω s3 +TCI·oh s4 Among them, SCI is the subgrade technical condition index, PQI is the pavement performance index, BCI is the bridge and tunnel structure technical condition index, TCI is the ancillary facilities (facilities along the line) technical condition index, ω s1 is the weight value of the subgrade technical condition index, ω s2 is the weight value of the pavement performance index, ω s3 is the weight value of the technical condition index of the bridge and tunnel structure, ω s4 is the weight value of the technical condition index of the ancillary facilities (facilities along the line); Step S34: The calculation method of the electromechanical facility technical condition index EFI is as follows: EFI=MSI·ω f1 +CSI·ω f2 +CFSI·ω f3 +PSI·h f4 +ISI·oh f5 Among them, MSI is the technical status index of the monitoring system, CSI is the technical status index of the charging system, CFSI is the technical status index of the communication system, PSI is the technical status index of the power supply and lighting system, ISI is the technical status index of the information release system, ω f1 is the weight value of the technical status index of the monitoring system, ω f2 is the weight value of the charging system technical status index, ω f3 is the weight value of the communication system technical status index, ω f4 is the weight value of the technical status index of power supply and lighting system, ω f5 is the weight value of the technical status index of the information release system; Step S35: The calculation method of the operation service level index OPI is as follows: OPI=TOI·ω m1 +NEVER ω m2 Among them, TOI is the traffic operation level index, MAI is the maintenance management level index, ω m1 is the weight value of the traffic operation level index, ω m2 is the weight value of the maintenance and management level index; The traffic operation level index TOI in step S36 and step S35 is calculated as follows: TOI=TEI·o to1 +TSI·h to2 +TII·oh to3 +TGI·oh to4 Among them, TEI is the traffic efficiency index, TSI is the traffic safety index, TII is the traffic intelligence index, TGI is the traffic green index, ω to1 is the weight value of the traffic efficiency level index, ω to2 is the weight value of traffic safety level index, ω to3 is the weight value of the traffic intelligence level index, ω to4 is the weight value of the traffic green level index; The calculation method of the maintenance management level index MMI in step S37 and step S35 is as follows: MMI=MEI·h g1 +MSI·h g2 +MII·oh g3 +MGI·oh g4 Among them, MEI is the maintenance efficiency index, MSI is the maintenance safety index, MII is the maintenance wisdom index, MGI is the maintenance green index, ω to1 is the weight value of the maintenance efficiency level index, ω to2 is the weight value of the maintenance safety level index, ω to3 is the weight value of the maintenance wisdom level index, ω g4 It is the weight value of the maintenance green level index.

7. The intelligent highway full life cycle operation management evaluation system according to claim 5 is characterized by: The evaluation content decomposition module divides the target layer of the evaluation system into three categories: civil construction facilities, electromechanical facilities, and operation services; The evaluation of civil facilities includes the main structures of roads, bridges and tunnels and their ancillary facilities; The evaluation of electromechanical facilities is based on the current specifications and the electromechanical configuration of the smart highway, and the functional classification, naming method and facility details of the electromechanical facilities are evaluated; The operation service evaluation content is divided into four aspects: efficiency, safety, intelligence and green.

8. The intelligent highway full life cycle operation management evaluation system according to claim 7 is characterized by: The target level is oriented to the purpose of the evaluation and the problems to be solved, as a logical system of intelligent high-speed evaluation; The indicator layer needs to consider the factors involved and the evaluation criteria, and be constructed in multiple layers according to the current norms and forward-looking needs. The data layer needs to consider the parameters for decision-making analysis, and comprehensively consider the content and source of the data, and be constructed in multiple layers. The civil construction facility evaluation is mainly based on the current national specifications, industry specifications, and enterprise standards, and plays a role in linking with the existing highway evaluation system; among them, the civil construction facility index layer includes roadbed, pavement, bridge and tunnel structures, and ancillary facilities; The electromechanical facilities evaluation divides electromechanical facilities into five subsystems, including: monitoring system, charging system, communication system, power supply and distribution system and accompanying information release system; The operation service evaluation content mainly focuses on the construction highlights of smart highways, highlighting its characteristics in terms of efficiency, safety, intelligence and greenness.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

10. A storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

Images