A bridge maintenance intelligent decision-making method and system

Abstract

The present application provides a method and system for intelligent decision-making on bridge maintenance, which belongs to the technical field of bridge maintenance; wherein, a method for intelligent decision-making on bridge maintenance includes: obtaining historical bridge maintenance record data and historical bridge traffic record data; determining bridge damage impact data according to the analysis of the historical bridge maintenance record data and the historical bridge traffic record data; determining the working interval between the next maintenance work and the previous maintenance work according to the bridge damage impact data based on a preset calculation model; determining bridge maintenance recommendations according to the working interval; in this way, the prediction of bridge maintenance time is achieved, ensuring that the bridge is maintained in time before problems occur, and improving the service life and safety of the bridge.

Description

Technical Field

[0001] The present application relates to the technical field of bridge maintenance, and in particular to an intelligent decision-making method and system for bridge maintenance. Background Art

[0002] Bridge maintenance is a comprehensive process involving bridge inspection, testing, evaluation, repair and reinforcement as well as indirect measures such as data and archive management, system and regulation construction, and emergency plan establishment; its importance lies in ensuring that the bridge is always in normal working condition and ensuring the safe operation of the bridge; bridge maintenance has two meanings. In a narrow sense, bridge maintenance refers to the inspection, testing, evaluation, and repair and reinforcement work carried out to ensure that the bridge is always in normal working condition; in a broad sense, bridge maintenance also includes other indirect measures taken to ensure the safe operation of the bridge, such as data and archive management, relevant system and regulation construction, and the establishment of emergency plans; with the increase in the service life of bridges, the problem of disease is becoming more and more serious, and bridge maintenance management has become particularly important. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides a bridge maintenance intelligent decision-making method and system.

[0004] In a first aspect, the present application provides a bridge maintenance intelligent decision-making method. The method comprises:

[0005] Obtain historical bridge maintenance record data and historical bridge traffic record data;

[0006] Determine bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data;

[0007] Based on a preset calculation model, determining the working interval length between the next maintenance work and the previous maintenance work according to the bridge damage impact data;

[0008] A bridge maintenance recommendation is determined based on the duration of the work interval.

[0009] By adopting the above technical solution, the calculation of the bridge maintenance time interval is realized, so that maintenance can be carried out before the bridge has problems, thereby improving the service life and safety of the bridge.

[0010] Furthermore, the analyzing and determining the bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data includes:

[0011] Determining material impact data and environmental impact data based on the historical bridge maintenance record data;

[0012] Determining traffic impact data according to the historical bridge traffic record data;

[0013] Based on preset weights, bridge damage impact data is determined according to analysis of the material impact data, the environmental impact data and the traffic impact data.

[0014] Furthermore, the determining of the working interval between the next maintenance work and the previous maintenance work based on the preset calculation model and the bridge damage impact data includes:

[0015]

[0016] In the formula, is the working interval duration, is the bridge damage impact data from the previous maintenance work, To preset the bridge damage impact threshold, is the pre-acquired change in the impact of bridge damage per unit time, is the preset interval length, express Pick and The minimum value in .

[0017] Furthermore, the method for calculating the change in the influence degree of bridge damage per unit time includes:

[0018]

[0019] In the formula, is the pre-acquired change in the impact of bridge damage per unit time, is the speed base change that reflects the speed of change of bridge damage impact within the preset time period. is the first impact coefficient calculated from the bridge damage impact data within a preset time period, It is a second impact coefficient calculated based on the most recent preset number of homogeneous bridge damage impact data within a preset historical time period.

[0020] Furthermore, the method for calculating the speed basic variation includes:

[0021] Assume that the number of maintenance times within the preset time period is m, i takes the value of 1-m, and the smaller i is, the closer it is to the current time. The bridge damage impact data obtained based on the working data of the i-th maintenance work is , the detection time corresponding to the i-th maintenance work is ,but, .

[0022] Furthermore, the calculation method of the first influence coefficient includes:

[0023] Assume that n maintenance works have been performed in the preset time period before the current moment, and n maintenance works correspond to n bridge damage impact data. The damage impact data of the i-th bridge is , the timestamp carried by the i-th bridge damage impact is , the smaller i is, the closer it is to the current moment;

[0024] The damage change rate of a bridge is calculated based on the damage impact data of each two adjacent bridges. There are n-1 bridge damage change rates in total. The damage change rate of the i-th bridge is , the latest bridge damage change rate is ,but , -1;

[0025] judge whether the signs of are both positive or negative;

[0026] If so, then ,otherwise , where h is greater than 0 The number of g is not greater than 0 The number of , , All are preset coefficients greater than 0.

[0027] Furthermore, the calculation method of the second influence coefficient includes:

[0028] Obtain all historical bridge damage impact data corresponding to each historical preset time period in a preset number of homogeneous historical preset time periods;

[0029] A historical bridge damage change data is calculated based on the damage impact data of each two adjacent historical bridges, and a historical maintenance interval duration is determined based on the damage data of each two adjacent historical bridges;

[0030] The second impact coefficient is calculated based on historical bridge damage change data and historical maintenance interval duration;

[0031]

[0032] In the formula, Indicates the number of historical bridge damage change data greater than 0, Indicates the number of historical bridge damage change data that is not greater than 0, Indicates the historical maintenance interval duration corresponding to the historical bridge damage change data greater than 0, represents the historical maintenance interval duration corresponding to the historical bridge damage change data not greater than 0. Assuming that there are c historical maintenance interval durations, then , , represents the first preset coefficient, represents the second preset coefficient, , Both are greater than 0.

[0033] Further, .

[0034] Furthermore, determining the traffic impact data according to the historical bridge traffic record data includes:

[0035] Determining historical traffic density data based on the historical bridge traffic record data;

[0036] Determining the historical bridge maintenance time according to the historical bridge maintenance record data;

[0037] Traffic impact data is determined based on the historical traffic density data and the historical bridge maintenance time.

[0038] In a second aspect, the present application provides a bridge maintenance intelligent decision-making system, the system comprising:

[0039] An acquisition module is used to acquire historical bridge maintenance record data and historical bridge traffic record data;

[0040] An analysis module, used to analyze and determine bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data;

[0041] A calculation module, used to determine the working interval between the next maintenance work and the previous maintenance work based on the bridge damage impact data based on a preset calculation model;

[0042] A determination module is used to determine bridge maintenance suggestions based on the working interval duration.

[0043] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0045] Figure 1 A flow chart of a bridge maintenance intelligent decision-making method in an embodiment of the present application is shown;

[0046] Figure 2A block diagram of an intelligent decision-making system for bridge maintenance in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0049] The present application provides a method and system for intelligent decision-making on bridge maintenance, which can analyze historical bridge maintenance data based on historical bridge maintenance data, predict the interval time required for bridge maintenance, and give corresponding maintenance suggestions; in this way, intelligent decision-making on bridge maintenance is achieved and the bridge maintenance effect is improved.

[0050] In a first aspect, the present application provides a bridge maintenance intelligent decision-making method. Figure 1 The specific steps of the method are as follows.

[0051] Step S110: Acquire historical bridge maintenance record data and historical bridge traffic record data.

[0052] In an embodiment of the present application, when maintenance work is carried out on a bridge, the damage condition of the bridge will be analyzed and corresponding maintenance work will be performed; and the corresponding maintenance record data will be stored in a cloud database; the historical bridge traffic record data here refers to the corresponding records of vehicles that have passed through the bridge in the past; they can also be viewed through the cloud database; the above data acquisition process will not be repeated here.

[0053] Step S120: Analyze and determine bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data.

[0054] In an embodiment of the present application, determining the bridge damage impact data based on the analysis of the historical bridge maintenance record data and the historical bridge traffic record data specifically includes: determining material impact data and environmental impact data based on the historical bridge maintenance record data; determining traffic impact data based on the historical bridge traffic record data; and determining the bridge damage impact data based on the analysis of the material impact data, the environmental impact data, and the traffic impact data based on preset weights.

[0055] It can be understood that when analyzing the bridge damage impact data, the damage impact on the bridge is analyzed holistically from three aspects: the degree of material aging, weather impact, and traffic impact; and then based on the preset weights, the final bridge damage impact data can be calculated; specifically, bridge damage impact data = material impact data * preset material impact weight + environmental impact data * preset environmental impact weight + traffic impact data * preset traffic impact weight.

[0056] The material impact data here is determined based on a preset material aging rate table. The material aging rate is determined based on the initial time of bridge construction. In this embodiment, the material aging rate is set to increase at a uniform rate, which is determined based on a preset material aging rate table. The preset material aging table includes a correspondence between the material aging rate and the material usage time. The preset material aging table also includes a correspondence between the material aging rate and the material impact.

[0057] The environmental impact data here refers to the impact of weather on the bridge, such as heavy rain, strong wind and other weather. The impact data caused by the corresponding weather can be obtained based on the preset weather impact comparison table. The preset weather impact comparison table contains the impact data corresponding to different weather.

[0058] Furthermore, determining the traffic impact data based on the historical bridge traffic record data includes: determining historical traffic density data based on the historical bridge traffic record data; determining historical bridge maintenance time based on the historical bridge maintenance record data; and determining the traffic impact data based on the historical traffic density data and the historical bridge maintenance time.

[0059] It can be understood that the corresponding traffic density data can be obtained from the traffic image data obtained by traffic monitoring video and other equipment; then, the traffic density data between two adjacent bridge maintenance can be determined based on the historical traffic density data and the interval time between each two adjacent historical bridge maintenance; and then, the impact of traffic density on the bridge can be determined based on the preset traffic impact comparison table; specifically, the preset traffic impact comparison table contains the corresponding relationship between traffic density and traffic impact.

[0060] In the embodiments of the present application, the above-mentioned preset material aging table, preset weather impact comparison table and preset traffic impact degree can all be obtained through data training experience in this field; the data training experience here is based on the most universal analysis data.

[0061] Step S130: Based on a preset calculation model, the working interval length between the next maintenance work and the previous maintenance work is determined according to the bridge damage impact data.

[0062] In the embodiment of the present application, based on the preset calculation model, determining the working interval between the next maintenance work and the previous maintenance work according to the bridge damage impact data specifically includes:

[0063]

[0064] In the formula, is the working interval duration, is the bridge damage impact data from the previous maintenance work, To preset the bridge damage impact threshold, is the pre-acquired change in the impact of bridge damage per unit time, is the preset interval length, express Pick and The minimum value in .

[0065] Furthermore, the calculation method of the change in the influence degree of bridge damage per unit time specifically includes:

[0066]

[0067] In the formula, is the pre-acquired change in the impact of bridge damage per unit time, is the speed base change that reflects the speed of change of bridge damage impact within the preset time period. is the first impact coefficient calculated from the bridge damage impact data within a preset time period, It is a second impact coefficient calculated based on the most recent preset number of homogeneous bridge damage impact data within a preset historical time period.

[0068] Furthermore, the method for calculating the speed basic variation specifically includes:

[0069] Assume that the number of maintenance times within the preset time period is m, i takes the value of 1-m, and the smaller i is, the closer it is to the current time. The bridge damage impact data obtained based on the working data of the i-th maintenance work is , the detection time corresponding to the i-th maintenance work is ,but, .

[0070] Furthermore, the calculation method of the first influence coefficient specifically includes:

[0071] Assume that n maintenance works have been performed in the preset time period before the current moment, and n maintenance works correspond to n bridge damage impact data. The damage impact data of the i-th bridge is , the timestamp carried by the i-th bridge damage impact is , the smaller i is, the closer it is to the current moment;

[0072] The damage change rate of a bridge is calculated based on the damage impact data of each two adjacent bridges. There are n-1 bridge damage change rates in total. The damage change rate of the i-th bridge is , the latest bridge damage change rate is ,but , -1;

[0073] judge whether the signs of are both positive or negative;

[0074] If so, then ,otherwise , where h is greater than 0 The number of g is not greater than 0 The number of , , All are preset coefficients greater than 0.

[0075] Furthermore, the calculation method of the second influence coefficient specifically includes:

[0076] Obtain all historical bridge damage impact data corresponding to each historical preset time period in a preset number of homogeneous historical preset time periods;

[0077] A historical bridge damage change data is calculated based on the damage impact data of each two adjacent historical bridges, and a historical maintenance interval duration is determined based on the damage data of each two adjacent historical bridges;

[0078] The second impact coefficient is calculated based on historical bridge damage change data and historical maintenance interval duration;

[0079]

[0080] In the formula, Indicates the number of historical bridge damage change data greater than 0, Indicates the number of historical bridge damage change data that is not greater than 0, Indicates the historical maintenance interval duration corresponding to the historical bridge damage change data greater than 0, represents the historical maintenance interval duration corresponding to the historical bridge damage change data not greater than 0. Assuming that there are c historical maintenance interval durations, then , , represents the first preset coefficient, represents the second preset coefficient, , are all greater than 0; among them, .

[0081] Step S140: Determine bridge maintenance recommendations based on the working interval duration.

[0082] After obtaining the working interval, the next bridge maintenance working time can be determined based on the historical record time of the previous historical maintenance work at the current moment, and then the corresponding bridge maintenance suggestions are output based on the working time; the bridge maintenance suggestions here include maintaining the bridge before the next bridge maintenance working time.

[0083] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0084] In the second aspect, the present application provides a bridge maintenance intelligent decision-making system. Figure 2 As shown, the system includes an acquisition module 210 for acquiring historical bridge maintenance record data and historical bridge traffic record data; an analysis module 220 for determining bridge damage impact data based on the analysis of the historical bridge maintenance record data and the historical bridge traffic record data; a calculation module 230 for determining the working interval duration between the next maintenance work and the previous maintenance work based on the bridge damage impact data based on a preset calculation model; and a determination module 240 for determining bridge maintenance recommendations based on the working interval duration.

[0085] Among them, the analysis module 220 is further configured as follows: the analysis and determination of bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data includes: determining material impact data and environmental impact data based on the historical bridge maintenance record data; determining traffic impact data based on the historical bridge traffic record data; based on preset weights, determining bridge damage impact data based on the material impact data, the environmental impact data and the traffic impact data; the determination of traffic impact data based on the historical bridge traffic record data includes: determining historical traffic density data based on the historical bridge traffic record data; determining historical bridge maintenance time based on the historical bridge maintenance record data; determining traffic impact data based on the historical traffic density data and the historical bridge maintenance time.

[0086] The calculation module 230 is further configured to determine the working interval between the next maintenance work and the previous maintenance work based on the preset calculation model and the bridge damage impact data, including:

[0087]

[0088] In the formula, is the working interval duration, is the bridge damage impact data from the previous maintenance work, To preset the bridge damage impact threshold, is the pre-acquired change in the impact of bridge damage per unit time, is the preset interval length, express Pick and The minimum value in .

[0089] The method for calculating the change in the influence degree of bridge damage per unit time includes:

[0090]

[0091] In the formula, is the pre-acquired change in the impact of bridge damage per unit time, is the speed base change that reflects the speed of change of bridge damage impact within the preset time period. is the first impact coefficient calculated from the bridge damage impact data within a preset time period, It is a second impact coefficient calculated based on the most recent preset number of homogeneous bridge damage impact data within a preset historical time period.

[0092] The method for calculating the speed basic variation includes:

[0093] Assume that the number of maintenance times within the preset time period is m, i takes the value of 1-m, and the smaller i is, the closer it is to the current time. The bridge damage impact data obtained based on the working data of the i-th maintenance work is , the detection time corresponding to the i-th maintenance work is ,but, .

[0094] The calculation method of the first influence coefficient includes:

[0095] Assume that n maintenance works have been performed in the preset time period before the current moment, and n maintenance works correspond to n bridge damage impact data. The damage impact data of the i-th bridge is , the timestamp carried by the i-th bridge damage impact is , the smaller i is, the closer it is to the current moment;

[0096] The damage change rate of a bridge is calculated based on the damage impact data of each two adjacent bridges. There are n-1 bridge damage change rates in total. The damage change rate of the i-th bridge is , the latest bridge damage change rate is ,but , -1;

[0097] judge whether the signs of are both positive or negative;

[0098] If so, then ,otherwise , where h is greater than 0 The number of g is not greater than 0 The number of , , All are preset coefficients greater than 0.

[0099] The calculation method of the second influence coefficient includes:

[0100] Obtain all historical bridge damage impact data corresponding to each historical preset time period in a preset number of homogeneous historical preset time periods;

[0101] A historical bridge damage change data is calculated based on the damage impact data of each two adjacent historical bridges, and a historical maintenance interval duration is determined based on the damage data of each two adjacent historical bridges;

[0102] The second impact coefficient is calculated based on historical bridge damage change data and historical maintenance interval duration;

[0103]

[0104] In the formula, Indicates the number of historical bridge damage change data greater than 0, Indicates the number of historical bridge damage change data that is not greater than 0, Indicates the historical maintenance interval duration corresponding to the historical bridge damage change data greater than 0, represents the historical maintenance interval duration corresponding to the historical bridge damage change data not greater than 0. Assuming that there are c historical maintenance interval durations, then , , represents the first preset coefficient, represents the second preset coefficient, , Both are greater than 0.

[0105] Further, .

[0106] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0107] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A bridge maintenance intelligent decision-making method, characterized in that: include: Obtain historical bridge maintenance record data and historical bridge traffic record data; Determine bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data; Based on a preset calculation model, determining the working interval length between the next maintenance work and the previous maintenance work according to the bridge damage impact data; Determining bridge maintenance recommendations based on the length of the work intervals; The analyzing and determining the bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data includes determining material impact data and environmental impact data based on the historical bridge maintenance record data; and determining traffic impact data based on the historical bridge traffic record data; Based on preset weights, analyzing and determining bridge damage impact data according to the material impact data, the environmental impact data, and the traffic impact data; The determining of the working interval between the next maintenance work and the previous maintenance work based on the preset calculation model and the bridge damage impact data includes: Where, T J is the working interval, P is the bridge damage impact data of the previous maintenance work, G Δ is the preset bridge damage impact threshold, v p is the pre-acquired change in the impact of bridge damage per unit time, T Δ is the preset interval length, z=(x,y) min Indicates that z takes the minimum value of x and y.

2. The intelligent decision-making method for bridge maintenance according to claim 1 is characterized in that: The method for calculating the change in the influence degree of bridge damage per unit time includes: Δv p =Δv×(1+K1)×(1+K2) In the formula, v p is the pre-acquired change in bridge damage impact per unit time, Δv is the velocity base change reflecting the speed of change of bridge damage impact within the preset time period, K1 is the first impact coefficient calculated from the bridge damage impact data within the preset time period, and K2 is the second impact coefficient calculated from the most recent preset number of homogeneous historical bridge damage impact data within the preset time period.

3. The intelligent decision-making method for bridge maintenance according to claim 2 is characterized in that: The method for calculating the speed basic variation includes: Assume that the number of maintenance times within the preset time period is m, i takes the value of 1-m, and the smaller i is, the closer it is to the current time. The bridge damage impact data obtained based on the work data of the i-th maintenance work is p i , the inspection time corresponding to the i-th maintenance work is t i ,but, 4. The intelligent decision-making method for bridge maintenance according to claim 3 is characterized in that: The calculation method of the first influence coefficient includes: Assume that n maintenance works have been performed in the preset time period before the current moment, and n maintenance works correspond to n bridge damage impact data. The damage impact data of the i-th bridge is p i , the timestamp carried by the damage impact of the i-th bridge is t i , the smaller i is, the closer it is to the current moment; The damage change rate of a bridge is calculated based on the damage impact data of each two adjacent bridges. There are n-1 bridge damage change rates in total, and the damage change rate of the i-th bridge is v i , the most recent bridge damage change rate is v1, then Judgement i whether the signs of are both positive or negative; If so, then otherwise In the formula, h is v greater than 0 i The number of, g is v not greater than 0 i , i=1,2,...n-1, a and b are both preset coefficients greater than 0.

5. The intelligent decision-making method for bridge maintenance according to claim 3 is characterized in that: The calculation method of the second influence coefficient includes: Obtain all historical bridge damage impact data corresponding to each historical preset time period in a preset number of homogeneous historical preset time periods; A historical bridge damage change data is calculated based on the damage impact data of each two adjacent historical bridges, and a historical maintenance interval duration is determined based on the damage data of each two adjacent historical bridges; The second impact coefficient is calculated based on historical bridge damage change data and historical maintenance interval duration; In the formula, e represents the number of historical bridge damage change data greater than 0, s represents the number of historical bridge damage change data not greater than 0, T e Indicates the historical maintenance interval duration corresponding to the historical bridge damage change data greater than 0, T s Represents the historical maintenance interval duration corresponding to the historical bridge damage change data not greater than 0. Assuming that there are c historical maintenance interval durations, then e∈[1, c], s∈[1, c], k1 represents the first preset coefficient, k2 represents the second preset coefficient, and both k1 and k2 are greater than 0.

6. The intelligent decision-making method for bridge maintenance according to claim 5 is characterized in that: k1+k2=1.

7. The intelligent decision-making method for bridge maintenance according to claim 1 is characterized in that: Determining the traffic impact data according to the historical bridge traffic record data includes: Determining historical traffic density data based on the historical bridge traffic record data; Determining the historical bridge maintenance time according to the historical bridge maintenance record data; Traffic impact data is determined based on the historical traffic density data and the historical bridge maintenance time.

8. A bridge maintenance intelligent decision-making system, characterized in that: include: An acquisition module (210), used to acquire historical bridge maintenance record data and historical bridge traffic record data; An analysis module (220), configured to determine bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data; A calculation module (230) is used to determine the working interval between the next maintenance work and the previous maintenance work based on a preset calculation model and the bridge damage impact data; A determination module (240) is used to determine a bridge maintenance suggestion according to the working interval duration; The system is further configured to: The analyzing and determining the bridge damage impact data based on the historical bridge maintenance record data and the historical bridge traffic record data includes determining material impact data and environmental impact data based on the historical bridge maintenance record data; and determining traffic impact data based on the historical bridge traffic record data; Based on preset weights, analyzing and determining bridge damage impact data according to the material impact data, the environmental impact data, and the traffic impact data; The determining of the working interval between the next maintenance work and the previous maintenance work based on the preset calculation model and the bridge damage impact data includes: Where, T J is the working interval, P is the bridge damage impact data of the previous maintenance work, G Δ is the preset bridge damage impact threshold, v p is the pre-acquired change in the impact of bridge damage per unit time, T Δ is the preset interval length, z=(x,y) min Indicates that z takes the minimum value of x and y.

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