JP6190461B2 - Repair planning system, repair planning method, and repair planning program - Google Patents

Description

  The present invention relates to a repair planning system, a repair plan planning method, and a repair method planning program.

  For public works such as bridges and roads, the degree of deterioration is analyzed through inspection. In addition, based on inspection data (inspection data indicates the degree of deterioration of public objects), a deterioration curve (the deterioration curve indicates the degree of deterioration in time series) is generated. In addition, a repair plan is made based on the generated degradation curve. Furthermore, the planned repair plan is optimized from the viewpoint of budget and the like.

  Japanese Patent Laid-Open No. 2006-177080 (Patent Document 1) states that “the bridge maintenance management plan support system (BMS) is used to perform bridge maintenance management, thereby quantifying the soundness of members constituting the bridge. Evaluate objectively and objectively, predict long-term deterioration, and BMS database creates evaluation conditions, automatically calculates, corrects and confirms deterioration prediction for each deterioration mechanism, and automatically calculates life cycle cost, By correcting, confirming, and counting and displaying, it is possible to select the optimal countermeasure construction method and timing, to plan and efficiently maintain the bridge, and to formulate future maintenance plans based on the soundness of the bridge. Supporting work ”is described.

  Also, Japanese Patent Laid-Open No. 2006-323741 (Patent Document 2) states that “if there is a leveling restriction that makes the budget for each year constant, if the cost exceeds the annual budget in order from the first year, the excess Is carried forward to the next year, and if the cost is lower than the annual budget, the next fiscal year will be carried forward. "

  Non-Patent Document 1 describes a method of creating a deterioration prediction model from past inspection data using regression analysis or Markov transition probability.

  Further, Non-Patent Document 1 describes that a plurality of repair scenarios for starting repair of public objects when the degree of deterioration exceeds a predetermined level is described.

  Furthermore, Non-Patent Document 1 describes that a scenario that minimizes the life cycle cost is selected from a plurality of planned repair scenarios.

JP 2006-177080 A JP 2006-323741 A

Bridge longevity repair plan 11466. pdf [searched August 14, 2013], <URL: http://www.pref.hiroshima.lg.jp/uploaded/attachment/11466.pdf>

  The inspection data indicating the degree of deterioration of the public property may have errors and variations. And when a repair plan is made based on the degradation curve generated based on the inspection data, a repair plan with uneven repair intervals may be made. And, there is a problem that a repair plan with uneven repair intervals is not easy to operate.

  In addition, a repair plan with little change in the total amount of each year could not be formulated.

  An object of the present invention is to provide a technique that makes it possible to make a repair plan with a fixed interval between repairs.

  Of the inventions disclosed in the present application, the outline of typical ones will be briefly described as follows.

  An embodiment of the present invention is a repair plan planning system for planning a repair plan to be repaired based on a result of checking a public object, and a soundness level indicating a degree of deterioration of the public object is equal to or less than a predetermined value. The time determination unit that determines the time to be determined as the first repair time to start repair for the first time. Moreover, it has the repair plan formulation part which formulates the repair plan which repairs the said repair object for every fixed range of intervals from the said initial repair time determined by the said time determination part.

  Further, in another embodiment, a repair plan planning method using a repair plan planning system for planning a repair plan to be repaired based on a result of inspecting a public object, and indicating a degree of deterioration of the public object There is an initial repair time determination step for determining a time when the degree is equal to or less than a predetermined value as an initial repair time for starting repairs for the first time. Moreover, it has the repair plan formulation step which formulates the repair plan which repairs the said repair object for every fixed interval from the said initial repair time determined in the said initial repair time determination step.

  Further, in another embodiment, there is provided a repair plan planning program for causing a computer to function as a repair plan planning system for planning a repair plan to be repaired based on a result of inspecting a public object. The computer causes the computer to execute an initial repair time determination step of determining a time when the soundness level indicating the degree is equal to or less than a predetermined value as an initial repair time for starting repairs for the first time. Further, the computer is caused to execute a repair plan formulation step of formulating a repair plan for repairing the repair target at intervals of a certain range from the initial repair time determined in the initial repair time determination step.

  Among the inventions disclosed in the present application, effects obtained by typical ones will be briefly described as follows.

  According to a typical embodiment of the present invention, a repair plan in which a repair interval is in a certain range can be made.

It is a figure which shows the outline | summary of the structural example of the repair plan planning system in Embodiment 1. FIG. It is a figure which shows the structural example of the inspection data table which the inspection data storage part in Embodiment 1 memorize | stores. 6 is a diagram illustrating a configuration example of a soundness correspondence data table stored in a setting data storage unit according to Embodiment 1. FIG. 6 is a diagram illustrating a configuration example of a deterioration curve abnormal value data table stored in a setting data storage unit according to Embodiment 1. FIG. 6 is a diagram illustrating an example of a deterioration curve according to Embodiment 1. FIG. It is a figure which shows the structural example of the repair strategy data table which the setting data storage part in Embodiment 1 memorize | stores. 6 is a diagram for explaining data items of repair strategy data in the first embodiment. FIG. It is a figure which shows the structural example of the deterioration curve data table which the deterioration curve memory | storage part in Embodiment 1 memorize | stores. It is a figure which shows the structural example of the determined repair plan data table which the repair plan memory | storage part in Embodiment 1 memorize | stores. FIG. 6 is a diagram showing a processing flow of overall processing in the first embodiment. FIG. 5 is a diagram showing a processing flow of data input processing in the first embodiment. FIG. 10 is a diagram showing a processing flow of a deterioration curve identification process in the first embodiment. FIG. 10 is a diagram for describing processing for generating a deterioration curve in the first embodiment. (A) And (b) is a figure which shows the example of the deterioration curve display screen which the output part in Embodiment 1 displays. (A) is a figure which shows the example when a deterioration curve is not in an area | region, (b) is a figure which shows the example when a deterioration curve exists in an area | region. FIG. 6 is a diagram showing a processing flow of a repair plan formulation process in the first embodiment. It is a figure which shows the example of the repair plan data in Embodiment 1. FIG. FIG. 10 is a diagram for explaining a process for determining an initial repair time in the first embodiment. (A)-(c) is a figure which shows the outline of the leveling process in Embodiment 1. FIG. (A) And (b) shows the state before a leveling process, (c) is a figure which shows the state after a leveling process. 6 is a diagram showing a processing flow of leveling processing in Embodiment 1. FIG. It is a figure which shows the structural example of the repair plan data table after adjustment which the repair plan memory | storage part in Embodiment 1 memorize | stores. It is a figure which shows the structural example of the total cost data table after adjustment which the repair plan memory | storage part in Embodiment 1 memorize | stores. FIG. 10 is a diagram showing a processing flow of correction processing in the first embodiment. 6 is a diagram illustrating an example of a correction screen displayed by the output unit according to Embodiment 1. FIG. 6 is a diagram illustrating an example of a correction screen displayed by the output unit according to Embodiment 1. FIG. 6 is a diagram illustrating an example of a correction screen displayed by the output unit according to Embodiment 1. FIG. 6 is a diagram illustrating a processing flow of output processing in Embodiment 1. FIG. 6 is a diagram illustrating an example of output data in the first embodiment. FIG. 6 is a diagram illustrating an example of output data in the first embodiment. FIG. (A) And (b) is a figure which shows the outline of the degradation curve identification process in Embodiment 2. FIG. (A) is a figure which shows the example of the deterioration curve before a deterioration curve identification process, (b) is a figure which shows the example of the deterioration curve after a deterioration curve identification process. FIG. 10 is a diagram showing a process flow of a deterioration curve identification process in the second embodiment. It is a figure which shows the structural example of the condition additional data table which a deterioration curve memory | storage part memorize | stores in Embodiment 2. FIG. It is a figure which shows the structural example of the variable condition addition data table which the deterioration curve memory | storage part in Embodiment 2 memorize | stores. It is a figure which shows the structural example of the deterioration curve data table which a deterioration curve memory | storage part memorize | stores in Embodiment 2. FIG.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiment, and the repetitive description thereof will be omitted.

  The repair planning system according to Embodiment 1 of the present invention determines, for each repair target, the time when each inspected public thing deteriorates beyond a predetermined degree as the time when repair is started for the first time. And the repair plan which repairs a repair object for every fixed interval is formulated for every repair object from the determined initial repair time. As a result, it is possible to make a repair plan with a fixed interval between repairs.

  Here, the fixed range that is the interval at which the repair target is repaired is, for example, a range of 11 months before and after the reference time. Specifically, when the reference period is 5 years, the range corresponds to a period from 4 years 1 month to 5 years 11 months.

[Embodiment 1]
A first embodiment of the present invention will be described with reference to FIGS.

<System configuration>
FIG. 1 is a diagram showing an outline of a configuration example of a repair plan planning system 100 according to the first embodiment.

  The repair planning system 100 includes a setting data storage unit 101, an inspection data storage unit 102, a deterioration curve storage unit 103, a repair plan storage unit 104, an input unit 200, which are connected to each other via a bus 111. It has a deterioration curve identification unit 300, a repair plan formulation unit 400, a leveling unit 500, a correction unit 600, and an output unit 700.

  The repair planning system 100 is implemented with predetermined hardware and software. For example, the repair planning system 100 includes a processor, a memory, and the like, and a program on the memory executed by the processor causes the computer of the repair planning system 100 to function.

  The input unit 200 (for example, corresponding to a mouse, a keyboard, etc.) accepts input of inspection data. The repair planning system 100 stores the inspection data received by the input unit 200 in the inspection data storage unit 102.

  The deterioration curve identification unit 300 includes a deterioration coefficient correction unit 301, an abnormality check unit 302, and a fitting unit 303.

  The fitting unit 303 acquires the inspection data corresponding to the repair object (the repair object is specified from the part, material, type, etc. of the public object) from the inspection data storage unit 102. The fitting unit 303 calculates a deterioration coefficient of a deterioration curve (the deterioration curve indicates the degree of deterioration of the public object in time series) based on the acquired inspection data.

  The abnormality check unit 302 determines whether or not the deterioration coefficient value calculated by the fitting unit 303 is abnormal.

  The deterioration coefficient correction unit 301 corrects the deterioration coefficient when the input unit 200 receives an input for correcting the deterioration coefficient.

  The repair plan formulation unit 400 includes a time determination unit 401, a repair plan determination unit 402, a repair plan listing unit 403, and an interval average cost calculation unit 404.

  The repair plan listing unit 403 generates a plurality of repair plan data corresponding to the inspection data acquired from the inspection data storage unit 102.

  The repair plan determination unit 402 determines a repair plan corresponding to the inspection data by extracting one repair plan data from the plurality of repair plan data generated by the repair plan listing unit 403.

  The time determination unit 401 determines the initial repair time, which is the time when repair corresponding to the inspection data is started for the first time.

  The leveling unit 500 adjusts each initial repair time so that the repair cost is not concentrated in a specific year.

  The correction unit 600 corrects the post-adjustment repair plan data (described later, FIG. 20) including the combination of the initial repair time after the adjustment in accordance with the input received by the input unit 200.

  The output part 700 (for example, a display corresponds) outputs the output data produced | generated based on the repair plan data after adjustment.

<Table configuration>
FIG. 2 is a diagram illustrating a configuration example of an inspection data table stored in the inspection data storage unit 102 according to the first embodiment. As shown in FIG. 2, the inspection data table includes inspection data for each [serial number]. The inspection data includes [Inspection date], [Bridge name], [Inspector], [Parts], [Area name], [Material], [Type], [Elapsed years], [ It consists of data items of [Level] and [Health].

  [Serial number] indicates a serial number assigned to each inspection data. [Inspection date] indicates the date when the bridge was inspected. [Inspector] indicates the name of the person who inspected the bridge. [Part] indicates the part of the bridge that has been inspected. [Area name] indicates the name of the area name where the bridge exists. [Material] indicates the name of the bridge material. [Type] indicates the content of the defect found as a result of inspection of the bridge. [Elapsed years] indicates the number of years from when the bridge was constructed to the present time. If the bridge has been repaired, the number of years from when the bridge was last repaired to the present time is shown. [Level] indicates the degree of damage to the bridge. The degree of damage is expressed by symbols A to E (A indicates that the degree of damage is the highest, and E indicates that the degree of damage is the lowest). [Health] expresses the degree of deterioration of the bridge as a numerical value. The degree of damage is represented by a numerical value of 0 to 100 (100 indicates the highest degree of damage, and 0 indicates the lowest degree of damage). The soundness correspondence data may be composed of data items such as a bridge name and [soundness].

  FIG. 3 is a diagram illustrating a configuration example of a soundness correspondence data table stored in the setting data storage unit 101 according to the first embodiment. As shown in FIG. 3, the soundness correspondence data table includes soundness correspondence data for each [serial number]. The soundness correspondence data includes data items of [part], [material], [kind], [level], and [health].

  FIG. 4 is a diagram illustrating a configuration example of a deterioration curve abnormal value data table stored in the setting data storage unit 101 according to the first embodiment. As shown in FIG. 4, the deterioration curve abnormal value data table includes deterioration curve abnormal value data for each [serial number]. The deterioration curve abnormal value data is composed of data items of [part], [material], [kind], [minimum deterioration coefficient], and [maximum deterioration coefficient]. [Minimum deterioration coefficient] indicates the minimum allowable deterioration coefficient. [Maximum degradation coefficient] indicates the maximum allowable degradation coefficient. The deterioration curve abnormal value data may be composed of data items of a bridge name, [minimum deterioration coefficient], and [maximum deterioration coefficient].

Hereinafter, the deterioration coefficient will be described with reference to FIG. As shown in FIG. 5, the soundness of the bridge monotonously decreases with the passage of years. When the soundness level is y, the elapsed years is x, and the deterioration coefficient is a, the following expression is satisfied.
y = 100-ax ²

  FIG. 6 is a diagram illustrating a configuration example of a repair strategy data table stored in the setting data storage unit 101 according to the first embodiment. As shown in FIG. 6, the repair strategy data table includes repair strategy data for each [serial number]. The repair strategy data includes [Part], [Material], [Type], [Condition], [Repair proposal], [Cost], [Interval], [Lower limit], [Upper limit], And [Average cost]. [Condition] indicates a soundness value as a condition for repair. The repair is started when the soundness is equal to or less than the soundness indicated in [Condition]. [Repair plan] indicates the soundness level after repair. The bridge is repaired until it reaches the soundness level shown in [Repair proposal]. [Cost] indicates the cost required to repair the bridge.

  Hereinafter, among the data items included in the repair strategy data, [Interval], [Lower limit], [Upper limit], and [Average cost] will be described with reference to FIG. FIG. 7 is a graph in which the horizontal axis (x-axis) is the number of years elapsed and the vertical axis (y-axis) is the soundness level. As shown in FIG. 7, the soundness level in the current year 1201 is α. The soundness α decreases monotonously with the passage of time until the initial repair period 1202. The bridge is repaired at the first repair period 1202. And the soundness increases from β to γ by being repaired at the initial repair time 1202. Thereafter, the soundness γ decreases monotonously with the passage of time until the second repair period 1203. The bridge is repaired again at the second repair period 1203. Then, at the second repair period 1203, the soundness level increases from β to γ.

[Interval] indicates a period from the last repair to the next repair. In the example of FIG. 7, [Interval] corresponds to a period from the first repair time 1202 to the second repair time 1203. [Average cost] indicates the cost required for one year. [Average cost] is calculated by dividing [Cost] by [Interval]. In addition, [interval] is obtained from the square root of ((100−β) / a), where y = 100−ax ² for a quadratic curve, y for soundness, x for elapsed years, and a for degradation coefficient. It is calculated by dividing the square root of ((100−γ) / a).

  Here, for example, even when [Interval] is 5 years, repair may be performed before 5 years have passed. In some cases, repairs may be made after 5 years. Therefore, it is necessary to provide [lower limit] and [upper limit] which are time margins before and after [interval]. [Lower limit] is a period from the last repair to the next repair, and indicates an allowable lower limit. [Upper limit] is a period from the last repair to the next repair, and indicates an allowable upper limit.

  FIG. 8 is a diagram illustrating a configuration example of a deterioration curve data table stored in the deterioration curve storage unit 103 according to the first embodiment. As shown in FIG. 8, the deterioration curve data table includes deterioration curve data for each [serial number]. The deterioration curve data includes data items of [part], [material], [kind], and [deterioration coefficient]. [Deterioration coefficient] indicates the value of the deterioration coefficient.

  FIG. 9 is a diagram illustrating a configuration example of a determined repair plan data table stored in the repair plan storage unit 104 according to the first embodiment. As shown in FIG. 9, the determined repair plan data table includes one or more determined repair plan data. The determined repair plan data includes [Repair Number], [Bridge Name], [Area Name], [Parts], [Material], [Type], [Deterioration Factor], [Condition], It consists of data items of [Repair proposal], [Cost], [Interval], [Average cost], [First repair period], [First lower limit], and [First upper limit].

  [First repair time] indicates the time when repair is first started. [First lower limit] is a period from the present time to the first repair, and indicates an allowable lower limit. [First upper limit] is a period from the present time until the first repair is performed, and indicates an allowable upper limit.

<Overall processing>
FIG. 10 is a diagram showing a processing flow of the entire processing in the first embodiment.

  First, in S1001, a data input process (described later, FIG. 11) is executed. In the data input process, the inspection data is stored in the inspection data table (described above, FIG. 2) of the inspection data storage unit 102. In addition, soundness correspondence data is stored in the setting data storage unit 101. Further, the deterioration curve abnormal value data is stored in the deterioration curve storage unit 103, and the repair strategy data is stored in the setting data storage unit 101.

  The repair planning system 100 may acquire inspection data via the network 10 and store the acquired inspection data in the inspection data storage unit 102. In this case, the repair planning system 100 acquires soundness correspondence data via the network 10 and stores the acquired soundness correspondence data in the setting data storage unit 101.

  Next, in S1002, the deterioration curve identification unit 300 executes a deterioration curve identification process (described later, FIG. 12). By executing the deterioration curve identification process, the deterioration coefficient of the deterioration curve is calculated based on the inspection data.

  Next, in S1003, the repair plan formulation unit 400 executes a repair plan formulation process (described later, FIG. 15). By executing the repair plan formulation process, a repair plan corresponding to the inspection data and an initial repair time, which is a time when repair is started for the first time, are determined.

  Next, in S1004, the leveling unit 500 executes leveling processing (described later, FIG. 19). By performing the leveling process, each initial repair time is adjusted so that repair costs are not concentrated in a specific year.

  Next, in S1005, the input unit 200 receives an input for starting correction to the post-adjustment repair plan data leveled in S1004. In S1005, when the input unit 200 receives an input for starting correction to the post-adjustment repair plan data (S1005-Yes), the process proceeds to S1006. On the other hand, in S1005, when the input unit 200 does not accept an input for starting correction to the post-adjustment repair plan data (S1005-No), the entire process ends.

  Next, in S1006, the correction unit 600 executes a correction process (described later, FIG. 22). By executing the correction process, the post-adjustment repair plan data including the combination of the initial repair time after adjustment is corrected.

  Finally, in S1007, the output unit 700 executes output processing (described later, FIG. 26).

<Data input processing>
FIG. 11 is a diagram showing a processing flow of data input processing in the first embodiment.

  First, in S1101, the input unit 200 receives input of soundness degree correspondence data. Then, the repair planning system 100 stores the soundness correspondence data that the input unit 200 has received the input in the setting data storage unit 101.

  Next, in S1102, input unit 200 accepts input of inspection data. Then, the repair planning system 100 stores the inspection data received by the input unit 200 in the inspection data storage unit 102. Further, the repair planning system 100 searches the soundness correspondence data table (described above, FIG. 3) using the part, material, type, and level included in the inspection data as keys, and obtains and acquires the corresponding soundness. Add soundness to inspection data.

  Next, in S1103, input unit 200 accepts input of deterioration curve abnormal value data. Then, the repair planning system 100 stores the deterioration curve abnormal value data that the input unit 200 has received the input in the deterioration curve storage unit 103.

  Next, in S1104, input unit 200 accepts input of parts, materials, types, conditions, repair plans, costs, lower limits, and upper limits, which are data items of repair strategy data. Then, the repair planning system 100 stores the data received by the input unit 200 in the setting data storage unit 101.

  Next, in S1105, the average interval cost calculation unit 404 of the repair plan formulation unit 400 calculates the interval and the average cost based on the input received in S1104. The repair planning system 100 stores the interval and average cost calculated by the interval average cost calculation unit 404 in the setting data storage unit 101. The repair strategy data is stored in the setting data storage unit 101 by the processing of S1104 and S1105.

<Deterioration curve identification process>
FIG. 12 is a diagram showing a processing flow of the deterioration curve identification processing in the first embodiment. In the deterioration curve identification process, a deterioration coefficient is calculated for each repair object in which the part, material, and type are combined with each other. Here, the repair target is generated by combining the data items included in the inspection data. Then, the repair target may be generated by combining the part, the material, the type, and another data item included in the inspection data. Furthermore, the repair target may be generated by appropriately combining one or more data items included in the inspection data.

  First, in S <b> 1201, the fitting unit 303 included in the deterioration curve identification unit 300 generates a plurality of repair targets by combining parts, materials, and types. For example, if “main girder” corresponds to the part, “concrete” and “steel” correspond to the material, and “crack” and “corrosion” correspond to the “kind”, the three repair objects (“main girder, “Concrete, crack”, “main girder, concrete, corrosion”, “main girder, steel, crack”, “main girder, steel, corrosion” are generated.

  Next, in S1202, the fitting unit 303 selects one repair target from the repair targets generated in S1201.

  Next, in S1203, the fitting unit 303 searches the inspection data table (described above, FIG. 2) stored in the inspection data storage unit 102 using the part, material, and type included in the repair target selected in S1202 as keys. To do. And fitting part 303 acquires all the inspection data corresponding to a key.

  Next, in S1204, the fitting unit 303 calculates the deterioration coefficient of the deterioration curve based on the elapsed years and the soundness level included in each inspection data acquired in S1203. Hereinafter, a process of calculating a deterioration coefficient for generating a deterioration curve will be described with reference to FIG.

As shown in FIG. 13, each inspection data 1301 is associated with a graph having the elapsed year as the horizontal axis (x-axis) and the soundness level as the vertical axis (y-axis) based on its own age and soundness. It is done. Here, the deterioration curve 1302 satisfies the formula y = 100−ax ² . Then, the deterioration coefficient of the deterioration curve 1302 is calculated based on the elapsed years and soundness included in each inspection data 1301. The deterioration curve 1302 is approximated to a quadratic curve by using the least square method. Note that the deterioration curve 1302 may be approximated to a quadratic curve using another method.

  Refer to FIG. 12 again. Next, in S1205, the abnormality check unit 302 included in the deterioration curve identification unit 300 stores the deterioration curve abnormality stored in the setting data storage unit 101 using the part, material, and type included in the repair target selected in S1202 as keys. The value data table (described above, FIG. 4) is searched. Then, the abnormality check unit 302 acquires a minimum deterioration coefficient and a maximum deterioration coefficient corresponding to the key.

  Next, in S1206, the abnormality check unit 302 determines whether or not the deterioration coefficient calculated in S1204 is included in the range from the minimum deterioration coefficient to the maximum deterioration coefficient acquired in S1205. When the abnormality check unit 302 determines that the degradation coefficient is included in the range from the minimum degradation coefficient to the maximum degradation coefficient (S1206-Yes), the process proceeds to S1210, and the fitting unit 303 uses the degradation curve 1302 calculated in S1204. The deterioration coefficient is stored in the deterioration curve storage unit 103 in association with the part, material, and type included in the repair target selected in S1202, and the process proceeds to S1211.

  On the other hand, when the abnormality check unit 302 determines that the deterioration coefficient is not included in the range from the minimum deterioration coefficient to the maximum deterioration coefficient (No in S1206), the process proceeds to S1207.

  In step S <b> 1207, the abnormality check unit 302 requests the output unit 700 to display an error message. Thereafter, the output unit 700 displays an error message and proceeds to S1208.

  Here, as shown in FIG. 14A, the output unit 700 includes the inspection data 1401, a deterioration curve 1402 generated based on the deterioration coefficient, a deterioration curve generated based on the minimum deterioration coefficient, and the maximum deterioration coefficient. A region 1403 determined from the deterioration curve generated based on the above is displayed. When the deterioration curve 1402 is not in the area 1403, the output unit 700 displays an error message 1404. Further, as illustrated in FIG. 14B, when the deterioration curve 1402 is in the region 1403, the output unit 700 does not display the error message 1404.

  Refer to FIG. 12 again. Next, in S1208, the input unit 200 determines whether an input for selecting whether or not to correct the deterioration coefficient calculated in S1204 has been received. In S1208, when the input unit 200 receives an input for correcting the deterioration coefficient (S1208-Yes), the process proceeds to S1209. On the other hand, when the input unit 200 has not received an input for correcting the deterioration coefficient (No in S1208), the process proceeds to S1211.

  Next, in S1209, the deterioration coefficient correction unit 301 corrects the deterioration coefficient, and proceeds to S1210. In step S1210, the deterioration coefficient correction unit 301 stores the corrected deterioration coefficient in the deterioration curve storage unit 103 in association with the portion, material, and type included in the repair target selected in step S1202, and the process proceeds to step S1211. .

  Hereinafter, the means for correcting the deterioration coefficient will be described with reference to FIG.

  As illustrated in FIG. 14B, the output unit 700 displays a mouse pointer 1405. And the input which corrects a degradation curve is received by receiving the input of a coordinate via the input part 200. FIG. As a result, the deterioration curve 1402 is corrected so that it passes through the coordinates where the input is accepted, and the deterioration curve a is corrected to the deterioration coefficient of the corrected deterioration curve. The deterioration coefficient correction unit 301 stores the corrected deterioration coefficient in the deterioration curve storage unit 103 in association with the part, material, and type included in the repair target selected in S1202.

  Next, in S1211, the fitting unit 303 determines whether all repair targets have been selected in S1202. In S1211, when it is determined that the fitting unit 303 has not selected all repair targets (S1211-No), the process proceeds to S1202. On the other hand, when it determines with the fitting part 303 having selected all the repair object (S1211-Yes), a deterioration curve identification process is complete | finished.

<Repair plan development process>
FIG. 15 is a diagram illustrating a processing flow of a repair plan formulation process in the first embodiment.

  First, in S <b> 1501, the repair plan listing unit 403 included in the repair plan formulation unit 400 acquires all bridge names included in the inspection data (described above, FIG. 2) from the inspection data storage unit 102.

  Next, in S1502, the repair plan listing unit 403 selects one bridge name from the bridge names acquired in S1501.

  Next, in S1503, the repair plan listing unit 403 searches the inspection data storage unit 102 using the bridge name selected in S1502 as a key. Then, the repair plan listing unit 403 acquires all inspection data corresponding to the key.

  Next, in S1504, the repair plan listing unit 403 selects one inspection data from the inspection data acquired in S1503.

  Next, in S1505, the repair plan listing unit 403 repairs the strategy data table (described above, FIG. 5) stored in the setting data storage unit 101 by using the part, material, and type included in the inspection data selected in S1504 as keys. ) Then, the repair plan listing unit 403 acquires all repair strategy data corresponding to the key.

  Next, in S1506, the repair plan listing unit 403 includes a repair number, a bridge name (this bridge name is the same as the bridge name selected in S1503), an area name (this area name is Repair plan data (described later, FIG. 16) is generated by adding the same as the area name included in the inspection data selected in S1504.

  FIG. 16 is a diagram illustrating an example of repair plan data. As shown in FIG. 16, each repair plan data includes [repair number], [bridge name], [area name], [part], [material], [type], and [condition]. And [Repair proposal], [Cost], [Interval], [Lower limit], [Upper limit], and [Average cost].

  Refer to FIG. 15 again. Next, in S1507, the repair plan determination unit 402 extracts repair plan data having the minimum average cost (included in the repair plan data) from the repair plan data generated in S1506. Thereby, the repair plan determination unit 402 extracts the repair plan data corresponding to the bridge name selected in S1502 and the inspection data selected in S1504. The repair plan determination unit 402 may extract repair plan data based on other conditions.

  Next, in S1508, the repair plan determination unit 402 transmits the extracted repair plan data to the time determination unit 401.

  Next, in S1509, the timing determination unit 401 stores a deterioration curve data table stored in the deterioration curve storage unit 103 using the part, material, and type included in the inspection data selected in S1504 as keys (described above, FIG. 8). Search for. And the time determination part 401 acquires the degradation coefficient corresponding to a key.

  Next, in S1510, the time determination unit 401 determines whether the soundness level included in the inspection data selected in S1504 exceeds the condition included in the repair plan data transmitted in S1508. In S1510, when the time determination unit 401 determines that the soundness level included in the inspection data is equal to or less than the condition included in the repair plan data (S1510-No), the current date is determined as the initial repair time, and S1512. Proceed to On the other hand, in S1510, when the time determination unit 401 determines that the soundness level included in the inspection data exceeds the condition included in the repair plan data (S1510-Yes), the process proceeds to S1511.

  In S1511, the time determination unit 401 determines the elapsed years that are the condition (soundness level) included in the repair plan data transmitted in S1508 as the initial repair time.

  Hereinafter, the process of determining the initial repair time will be described in detail with reference to FIG. FIG. 17 shows a graph in which the horizontal axis (x-axis) is the number of years elapsed and the vertical axis (y-axis) is the soundness level.

In order to determine the initial determination time, the time determination unit 401 first generates a quadratic curve 1703 that passes through the coordinates (p, α) 1701. Here, p corresponds to the elapsed years included in the inspection data selected in S1504. Further, α corresponds to the soundness level included in the inspection data selected in S1504. Here, the quadratic curve 1703 is generated by moving the quadratic curve 1702 (the quadratic curve 1702 is expressed by the equation y = 100−ax ² ) by b in the x-axis direction. The quadratic curve 1703 is expressed by (Expression 1). The condition for the quadratic curve 1703 to pass the coordinates (p, α) is expressed by (Expression 2), and b satisfies (Expression 3). A quadratic curve 1703 passing through the coordinates (p, α) 1701 is expressed by (Expression 4).

  Next, the time determination unit 401 substitutes the condition (health level) included in the repair plan data (transmitted in S1508) for y (health level) of the generated (expression 4), and a (deterioration coefficient) Is substituted for the deterioration coefficient acquired in S1509, p is substituted for the elapsed years included in the inspection data, and α is substituted for the soundness level included in the inspection data. Thereby, the time determination part 401 calculates x (elapsed years) used as a condition (health degree). Then, the time determination unit 401 determines the calculated x (elapsed years) as the initial repair time.

  Refer to FIG. 15 again. Next, in S1512, the time determination unit 401 calculates an initial lower limit and an initial upper limit. Here, the time determination unit 401 calculates the initial lower limit by subtracting the period from the lower limit to the interval included in the repair plan data from the initial repair time determined in S1511. The time determination unit 401 calculates the initial upper limit by adding the period from the interval included in the repair plan data to the upper limit to the initial repair time determined in S1511.

  Next, in S1513, the time determination unit 401 adds the deterioration coefficient acquired in S1509 to the repair plan data. In addition, the time determination unit 401 adds the initial repair time determined in S1511 and the initial upper limit and initial lower limit calculated in S1512 to the repair plan data transmitted in S1508. Thereby, the time determination part 401 produces | generates decision repair plan data (above-mentioned, FIG. 9).

  Next, in S1514, the time determination unit 401 stores the generated determined repair plan data in the repair plan storage unit 104.

  Next, in S1515, the repair plan listing unit 403 determines whether all inspection data has been selected in S1504. When the repair plan listing unit 403 determines that all the inspection data has been selected (S1515-Yes), the process proceeds to S1516. On the other hand, if the repair plan listing unit 403 determines that not all the inspection data has been selected (S1515-No), the process proceeds to S1504.

  Next, in S1516, the repair plan listing unit 403 determines whether or not all bridge names have been selected in S1502. When it is determined that the repair plan listing unit 403 has selected all the bridge names (Yes in S1516), the repair plan formulation process ends. On the other hand, if the repair plan listing unit 403 determines that not all bridge names have been selected (No in S1516), the process proceeds to S1502.

<Leveling process>
FIGS. 18A and 18B are diagrams showing an outline of the leveling process in the first embodiment.

  As shown in FIGS. 18A and 18B, the intervals and costs included in the determined repair plan data (described above, FIG. 9) are different for each repair target. And when repair of the repair object is started at each initial repair time determined in the repair plan formulation process, the repair cost may be concentrated in a specific year. In this case, the expenses for each year required for repairs vary. Therefore, as shown in FIG. 18C, the repair cost is adjusted so as not to be concentrated in a specific year by shifting the year in which the repair is started.

  FIG. 19 is a diagram illustrating a processing flow of leveling processing in the first embodiment.

  First, in S1901, the leveling unit 500 acquires all determined repair plan data from the repair plan storage unit 104.

  Next, in S1902, the leveling unit 500 adjusts each initial repair time so that repair costs included in each determined repair plan data are not concentrated in a specific year. Then, a plurality of post-adjustment repair plan data (to be described later, FIG. 20) composed of combinations of initial repair times after adjustment for each repair number are generated. The leveling unit 500 may generate a plurality of adjusted repair plan data by covering the repair start time for each repair number.

  Here, the cost of repairing from the initial repair time after adjustment (hereinafter referred to as initial cost) differs from the cost of repairing from the initial repair time before adjustment. Therefore, it is necessary to acquire the initial cost for each initial repair period included in the adjusted repair plan data.

  FIG. 20 is a diagram illustrating a configuration example of the post-adjustment repair plan data table stored in the repair plan storage unit 104. As shown in FIG. 20, the post-adjustment repair plan data constituting the post-adjustment repair plan data table includes [repair number], [bridge name], [initial lower limit], [initial upper limit], and [interval]. And [cost], [initial repair time], and [initial cost] data items. The leveling unit 500 adjusts the initial repair time for each repair number. Each initial repair time is adjusted within a period from the initial lower limit to the initial upper limit included in the determined repair plan data.

Reference is again made to FIG. Next, in S1903, the leveling unit 500 acquires the initial cost. As a process for acquiring the initial cost, the leveling unit 500 first calculates the soundness level at the adjusted initial repair time. The leveling unit 500 substitutes the deterioration coefficient included in the repair plan data determined in a (deterioration coefficient) of the formula (y (soundness level) = 100−ax ² ) for the initial repair time after adjustment to x. , Calculate the soundness at the first repair period after adjustment.

  Next, the leveling unit 500 searches the repair strategy data table (described above, FIG. 5) stored in the setting data storage unit 101 using the calculated soundness level at the first repair time after adjustment as a key, and the condition below the key The cost corresponding to is acquired as the initial cost. The leveling unit 500 repeats the process of calculating the initial cost until all the initial costs for each repair number are calculated for all the adjusted repair plan data generated.

  Reference is again made to FIG. Next, in S1904, the leveling unit 500 calculates a bias value for each generated repair plan data after adjustment. As a process of calculating the bias value, first, the leveling unit 500 calculates the total amount for each year. The total amount for the year is calculated for each year by totaling the expenses required for each repair performed in each year (specified from the initial repair time included in the adjusted repair plan data). Then, the degree of bias of the total amount for each year is calculated as a bias value. The bias value corresponds to the standard deviation of each total amount and the variance obtained by squaring the standard deviation.

  Next, in S1905, the leveling unit 500 extracts post-adjustment repair plan data having the lowest bias value. Thereby, the leveling unit 500 extracts the adjusted repair plan data in which the total amount of each year is leveled from the generated adjusted repair plan data.

  It should be noted that the leveling unit 500 may extract the adjusted repair plan data that minimizes the total sum totaled for each year. Further, the leveling unit 500 may generate an objective function that combines the bias value and the total amount, and extract the adjusted repair plan data that minimizes or maximizes the objective function. Further, the leveling unit 500 may extract the repair plan data after adjustment using various planning methods for obtaining a suboptimal value. Further, the leveling unit 500 may use a genetic algorithm to extract optimal adjusted repair plan data.

  Next, in S1906, the leveling unit 500 calculates the total sum by summing up the total amounts for each year of the extracted adjusted repair plan data.

  Finally, in S1907, the leveling unit 500 stores the adjusted repair plan data extracted in S1905 in the repair plan storage unit 104. Further, the leveling unit 500 stores the adjusted total cost data shown in FIG. 21 in which the year, the total amount of the year, the repair number list, the total amount, and the bias value are associated with each other in the repair plan storage unit 104. Remember.

<Correction process>
FIG. 22 is a diagram showing a processing flow of correction processing in the first embodiment.

  First, in S2201, the output unit 700 acquires adjusted repair plan data (described above, FIG. 20) and adjusted total cost data (described above, FIG. 21) from the repair plan storage unit 104.

  Next, in S2202, the output unit 700 determines the bridge name, the initial repair time, the initial cost, the interval, the cost, and the total cost data included in the adjusted total cost data included in the acquired adjusted repair plan data. A correction screen is displayed based on the total amount and the bias value.

  FIG. 23 is a diagram illustrating an example of a correction screen displayed by the output unit 700 according to the first embodiment.

  As shown in FIG. 23, the correction screen displays a bar graph in which the horizontal axis (x-axis) is the year and the vertical axis (y-axis) is the cost, and the amount of cost required for repairing according to the length is displayed. A bar 2001, a reference line 2002 indicating the amount of the budget, a legend 2003, and supplementary information 2004 are displayed.

  Each rectangular bar 2001 is displayed in a different manner for each bridge name. The legend 2003 displays a list of correspondences between the display modes of the rectangular bars 2001 and the bridge names. The rectangular bar 2001 may be displayed with a different pattern for each bridge name. Moreover, you may make it display with a different color for every bridge name.

  Further, the supplementary information 2004 displays the total amount, the cost amount corresponding to the length of the bar 2001 exceeding the reference line 2002, and the bias value.

  Refer to FIG. 22 again. Next, in S2203, input unit 200 receives an input. The correction unit 600 corrects the post-adjustment repair plan data acquired in S2201 according to the input received by the input unit 200.

  Hereinafter, the process which corrects the repair plan data after adjustment is demonstrated using FIG. 24 and FIG. First, the input unit 200 receives an input for moving the cursor 2005 to the bar 2001 (or 2007). Next, the input unit 200 receives an input for selecting the bar 2001 (or 2007). Thereby, the input part 200 receives selection of the bridge name (bridge W) which corrects repair plan data after correction. Thereafter, as illustrated in FIG. 24, the output unit 700 displays the annotation 2006. In the annotation 2006, the bridge name that is the selected bridge name, the site, the material, the type, the year 2016 and 2018 that is the year before the movement, the upper limit or the initial upper limit, and the lower limit or the initial lower limit are displayed. The

  Next, the input unit 200 receives an input for moving the bars 2001 and 2007 corresponding to the selected bridge name to the year in which the bars are to be moved. FIG. 24 shows the course of the selected bridge rod 2001 being moved from 2016 to 2015 and the rod 2007 being moved from 2019 to 2018. The correction unit 600 invalidates the input for moving the selected bar 2001 in the year exceeding the upper limit or the initial upper limit. In addition, the correction unit 600 invalidates an input for moving the selected bar 2001 to a year less than the lower limit or the initial lower limit.

  Thereafter, when the movement is completed, as shown in FIG. 25, the bar 2001 is moved to the 2016 position, and the bar 2007 is moved to the 2018 position.

  Refer to FIG. 22 again. Finally, in S2204, input unit 200 stores the corrected post-adjustment repair plan data in repair plan storage unit 104.

  Further, the input unit 200 calculates the total amount for the year based on the corrected repair plan data after correction. And the input part 200 updates a repair number list | wrist based on the repair plan data after adjustment after correction. The input unit 200 stores the adjusted total cost data (described above, FIG. 21) in which the year, the calculated total amount, the updated repair number list, the total amount, and the bias value are associated with each other in the repair plan memory. Store in the unit 104.

<Output processing>
FIG. 26 is a diagram showing a processing flow of output processing in the first embodiment.

  First, in S2601, the repair plan planning system 100 acquires adjusted repair plan data (described above, FIG. 20) from the repair plan storage unit 104.

  Next, in S2602, the repair plan planning system 100 selects one repair number from the repair numbers included in the adjusted repair plan data.

  Next, in S2603, the repair plan planning system 100 searches the repair plan storage unit 104 using the repair number selected in S2602 as a key, and the corresponding bridge name, area name, part, material, Get the type and.

  Next, in S2604, the repair planning system 100 searches the inspection data storage unit 102 using the bridge name, area name, part, material, and type acquired in S2603 as keys, and corresponds to the keys. Get the inspection date and level. And the repair plan planning system 100 includes the repair number, the initial repair time, the initial cost, the interval, the cost, the bridge name acquired in S2603, the area name, and the part included in the adjusted repair plan data. The output data is generated by associating the material, the type, and the inspection date and level acquired in S2604. The repair planning system 100 may acquire data other than the inspection date and level from the inspection data storage unit 102.

  Next, in S2605, the repair plan planning system 100 determines in S2602 that the repair plan planning system 100 that determines whether all repair numbers have been selected has selected all repair numbers ( (S2605-Yes), the process proceeds to S2606. On the other hand, when it determines with the repair plan planning system 100 not selecting all the repair numbers (S2605-No), it progresses to S2602.

  Finally, in S2606, the output unit 700 outputs each output data generated in S2605 in a list as shown in FIG. Note that this output may be displayed on the output unit 700. Further, the output unit 700 may output each output data to a printer (not shown). In this case, the printer prints a sheet of paper on which each output data is listed based on each output data that has been output.

  In S2601, the output unit 700 acquires adjusted total cost data (described above, FIG. 21) from the repair plan storage unit 104, and in S2606, the output unit 700 shows each output data as shown in FIG. It is also possible to output a list for each year together with the total amount for the year.

<Effect of Embodiment 1>
According to the first embodiment described above, the repair plan formulation unit 400 is repaired by formulating a repair plan for each repair target that repairs the repair target at regular intervals from the initial repair time. A repair plan with a certain interval can be made. And when paying attention to one public thing, the repair interval does not become uneven, and it becomes possible to make a repair plan that is easier to explain for citizens.

  In addition, the leveling unit 500 adjusts the initial repair time so that the total amount for each year is leveled, so that a repair plan overlooking the whole with little fluctuation in the total amount for each year can be made. become.

  In addition, the leveling unit 500 can make a more appropriate repair plan by adjusting the initial repair time within a predetermined period.

  In addition, when the output unit 700 does not have the calculated deterioration coefficient within the predetermined range, it is possible to calculate a more appropriate deterioration coefficient by displaying an error message.

[Embodiment 2]
A second embodiment of the present invention will be described with reference to FIGS.

  A difference from the first embodiment is that the fitting unit 303 acquires inspection data for each of a plurality of inspection data groups, and calculates a deterioration coefficient of a deterioration curve for each inspection data group based on the acquired inspection data. It is. In the second embodiment, different points will be mainly described.

<Deterioration curve identification process>
FIGS. 29A and 29B are diagrams showing an outline of the deterioration curve identification process in the second embodiment.

  As shown in FIG. 29A, an error between each inspection data 2903 and the deterioration curve 2902 (the error is a straight line extended from the inspection data 2903 (the straight line is parallel to the y-axis) intersects the deterioration curve 2902) If the distance to the inspection data 2903 is large), an appropriate deterioration coefficient may not be calculated. In such a case, the original inspection data group 2901 is divided into an inspection data group 2904 and an inspection data group 2906 as shown in FIG. Then, the deterioration curve 2905 and the deterioration curve 2907 are approximated to a quadratic curve by using the least square method.

  Note that inspection data is not shared between the inspection data group 2904 and the inspection data group 2906. Further, when the inspection data included in the inspection data group 2904 and the inspection data included in the inspection data group 2906 are combined, the inspection data included in the original inspection data group 2901 is obtained. It may be divided into three or more inspection data groups.

  FIG. 30 is a diagram showing a process flow of the deterioration curve identification process in the second embodiment. The degradation curve identification process in the second embodiment is executed every time the degradation coefficient of the degradation curve is calculated based on the elapsed years and soundness included in the inspection data in the above-described S1204.

  First, in S3001, the fitting unit 303 included in the deterioration curve identifying unit 300 calculates the variance A. The variance A corresponds to an average value of values obtained by squaring the error between each inspection data and the deterioration curve (this deterioration curve is based on the deterioration coefficient calculated in S1204).

  Next, in S3002, the fitting unit 303 determines whether the variance A calculated in S3001 exceeds a predetermined threshold. Thereby, the fitting part 303 determines whether an error is large. When the fitting unit 303 determines that the variance A does not exceed the predetermined threshold (S3002-No), the deterioration curve identification process ends. On the other hand, when the fitting unit 303 determines that the variance A exceeds a predetermined threshold (S3002-Yes), the process proceeds to S3003.

  Next, in S3003, the fitting unit 303 substitutes the variance A for the variance A_min that is a variable. In addition, the fitting unit 303 substitutes NULL for a variable_min that is a variable.

  Next, in S3004, the fitting unit 303 is a data item included in the inspection data and is a data item other than [part], [material], and [type] (that is, other than the data item used for the search in S1203) 1 data item (for example, bridge name). Note that the fitting unit 303 may select data items from data items other than the data items included in the inspection data (for example, [construction method], [construction year], [constructor name]).

  Next, in S3005, the fitting unit 303 selects one value from all the values that can be input to the data item for the data item selected in S3004. This value corresponds to “A”, “B”, or the like when a bridge type, which is a data item for identifying a bridge type, is selected in S3004. Further, when a bridge name is selected in S3004, the bridge A, the bridge B, and the like are applicable.

  Next, in S3006, an inspection data table (described above) stored in the inspection data storage unit 102 using the value selected in S3005 and the [part], [material], and [type] used in the search in S1203 as keys. Search Fig. 2). And fitting part 303 acquires all the inspection data corresponding to a key.

  Next, in S3007, the fitting unit 303 calculates the deterioration coefficient of the deterioration curve based on the elapsed years and soundness included in each inspection data acquired in S3006.

  Next, in S3008, the fitting unit 303 calculates the variance B. The variance B corresponds to an average value of values obtained by squaring the error between each inspection data acquired in S3006 and the deterioration curve (this deterioration curve is based on the deterioration coefficient calculated in S3007).

  Next, in S3009, the fitting unit 303 sets condition additional data in which the data item selected in S3004, each data item used for the search in S3006, and the variance B calculated in S3008 are associated with each other. Store in the deterioration curve storage unit 103.

  FIG. 31 is a diagram illustrating a configuration example of a condition addition data table stored in the deterioration curve storage unit 103 according to the second embodiment. As shown in FIG. 31, the condition addition data table is composed of condition addition data for each [serial number]. The condition additional data includes data items of [part], [material], [kind], [variable], [value], [deterioration coefficient], and [variance B]. [Variable] corresponds to the data item selected in S3004. [Value] corresponds to the value selected in S3005. Note that a bridge type may be applied as the [variable]. In this case, “A” and “B” correspond to the corresponding [value].

  Refer to FIG. 30 again. In step S3010, the fitting unit 303 determines whether all values have been selected in step S3005. In S3010, when it is determined that the fitting unit 303 has not selected all the values (S3010-No), the process proceeds to S3005. On the other hand, when it determines with the fitting part 303 having selected all the values (S3010-Yes), it progresses to S3011.

  Next, in S3011, the fitting unit 303 calculates an average value of each variance B calculated in S3008. Then, the average value of the calculated variance B is defined as variance A. The fitting unit 303 stores the variable condition additional data in which the data item selected in S3004, each data item used for the search in S1203, and the variance A are associated with each other in the deterioration curve storage unit 103.

  FIG. 32 is a diagram illustrating a configuration example of a variable condition addition data table stored in the deterioration curve storage unit 103 according to the second embodiment. As shown in FIG. 32, the variable condition additional data table includes variable condition additional data for each [serial number]. The variable condition additional data includes data items of [part], [material], [kind], [variable], and [dispersion A]. [Dispersion A] indicates the value of the dispersion A.

  Refer to FIG. 30 again. Next, in S3012, the fitting unit 303 determines whether the variance A_min exceeds the variance A. When the fitting unit 303 determines that the variance A_min does not exceed the variance A (S3012-No), the process proceeds to S3014. On the other hand, when the fitting unit 303 determines that the variance A_min exceeds the variance A (S3012-Yes), the process proceeds to S3013.

  Next, in S3013, the fitting unit 303 substitutes the variance A for the variance A_min. In addition, the fitting unit 303 substitutes the data item selected in S3004 for the variable_min.

  In step S3014, the fitting unit 303 determines whether all data items have been selected in step S3004. If it is determined in S3014 that the fitting unit 303 has not selected all the data items (S3014-No), the process proceeds to S3004. On the other hand, when it determines with fitting part 303 having selected all the data items in S3014 (S3014-Yes), it progresses to S3015.

  Next, in S3015, the fitting unit 303 determines whether the variance A_min exceeds the threshold A. When the fitting unit 303 determines that the variance A_min exceeds the threshold A (S3015-Yes), the deterioration curve identification process is terminated. On the other hand, when the fitting unit 303 determines that the variance A_min does not exceed the threshold A (S3015-No), the process proceeds to S3016.

  Next, in S3016, the fitting unit 303 searches the deterioration curve storage unit 103 using the data item assigned to the variable_min as a key, and acquires the corresponding additional condition data. The fitting unit 303 then stores the acquired additional condition data as deterioration curve data in the deterioration curve storage unit 103.

  FIG. 33 is a diagram illustrating a configuration example of a deterioration curve data table stored in the deterioration curve storage unit 103 according to the second embodiment. As shown in FIG. 33, the deterioration curve data table is composed of deterioration curve data for each [serial number]. Deterioration curve data includes [part], [material], [kind], [construction method], [bridge name], [construction year], [constructor name], and [deterioration coefficient]. Consists of data items. “ALL” is stored for data items that are not selected.

<Effect of Embodiment 2>
As described above, according to the second embodiment, as an effect different from the first embodiment, a more appropriate deterioration coefficient can be calculated by calculating the deterioration coefficient of the deterioration curve for each inspection data group. Become.

  As mentioned above, the invention made by the present inventor has been specifically described based on the embodiment. However, the present invention is not limited to the embodiment, and various modifications can be made without departing from the scope of the invention. Needless to say.

  For example, public objects include all various public objects in addition to roads and facilities. Moreover, you may make it provide the repair plan planning method of this invention by an on-demand service. Furthermore, the repair planning program of the present invention may be stored in a storage medium such as a USB memory or a hard disk.

DESCRIPTION OF SYMBOLS 10 Network 100 Repair plan planning system 101 Setting data storage part 102 Inspection data storage part 103 Deterioration curve storage part 104 Repair plan storage part 111 Bus 200 Input part 300 Deterioration curve identification part 301 Deterioration coefficient correction part 302 Abnormality check part 303 Fitting part 400 Repair plan formulation unit 401 Timing determination unit 402 Repair plan determination unit 403 Repair plan enumeration unit 404 Interval average cost calculation unit 500 Leveling unit 600 Correction unit 700 Output unit 1201 Current year 1202 First repair period 1203 Second repair period 1301 Inspection data 1302 Degradation curve 1401 Inspection data 1402 Degradation curve 1403 Area 1701 Coordinates 1703 and 1703 Quadratic curves 2001 and 2007 Bar 2002 Reference line 2003 Legend 2004 Supplementary information 2005 Cursor 2006 Annotation 2901, 904,2906 inspection data group 2902 degradation curve 2903 inspection data 2905,2907 deterioration curve

Claims (17)

A repair plan planning system for planning a repair plan to be repaired based on the result of checking each public object,
A time determination unit for determining a time when the soundness level indicating the degree of deterioration of the public property is equal to or less than a predetermined value as an initial repair time to start repairing for the first time;
A repair plan formulation unit that formulates a repair plan for repairing the repair target at intervals of a certain range from the initial repair time determined by the time determination unit;
Calculate the total amount for each fiscal year by summing up the expenses required for each repair carried out every fiscal year for all the public features of multiple public properties so that the total amount for each fiscal year is leveled. The repair plan planning system further comprising a leveling unit that adjusts the initial repair time. In the repair planning system according to claim 1 ,
The leveling unit is a repair planning system in which the initial repair time is adjusted within a predetermined period. In the repair planning system according to claim 2 ,
The leveling unit calculates a degree of bias of the total amount of the year within the predetermined period, and extracts a plan with the lowest degree of bias . In the repair planning system according to claim 1 ,
The repair plan planning system which further has an output part which outputs the said repair object repaired for every year and the said total amount for every year in a list. In the repair planning system according to claim 1,
A fitting unit that generates a deterioration coefficient for determining a deterioration curve that is a relational expression between the elapsed years of the public works and the soundness level;
A deterioration curve storage unit for storing data including the deterioration coefficient,
The repair plan formulation unit formulates the repair plan based on the degradation curve determined with reference to the degradation coefficient stored in the degradation curve storage unit,
The fitting unit obtains inspection data corresponding items for specifying the repair target key, based on the inspection data obtained, it calculates the deterioration coefficient of the degradation curve for each of the repair target, Repair planning system. In the repair planning system according to claim 5 ,
A deterioration curve identifying unit for determining whether the deterioration coefficient calculated for each repair target is within a predetermined range;
An output unit that outputs an error message when the degradation curve identification unit determines that the degradation coefficient is not within a predetermined range;
In addition, a repair planning system. In the repair planning system according to claim 6 ,
The said output part is a repair planning system which receives the input which corrects the said deterioration curve. In the repair planning system according to claim 5 ,
When the fitting unit determines that an average value of squared errors between the inspection data and the deterioration curve generated based on the deterioration coefficient is larger than a predetermined threshold value, for each of a plurality of inspection data groups A repair plan planning system that acquires the inspection data and calculates a deterioration coefficient of the deterioration curve for each inspection data group based on the acquired inspection data. A repair plan drafting method using a repair plan drafting system for drafting a repair plan to be repaired based on a result of checking a public object,
An initial repair time determination step for determining a time when the soundness level indicating the degree of deterioration of the public property is equal to or less than a predetermined value as an initial repair time for starting repairs for the first time;
A repair plan formulation step for formulating a repair plan for repairing the repair target at intervals of a certain range from the initial repair time determined in the initial repair time determination step;
The annual total amount calculating step for calculating the total amount for each year by totaling all the expenses required for each repair performed for each fiscal year with all the public objects of the plurality of public objects ,
A leveling step for adjusting the initial repair time so that the total amount for each year is leveled;
A repair plan planning method further comprising: In the repair planning method according to claim 9 ,
The leveling step is a repair plan planning method in which the initial repair time is adjusted within a predetermined period. In the repair planning method according to claim 9 ,
The leveling step calculates a degree of bias of the yearly total amount within the predetermined period, and extracts a repair plan data after adjustment having the lowest degree of bias . In the repair planning method according to claim 9 ,
A repair planning method, further comprising an output step of outputting the repair target to be repaired every year and the total amount for each year in a list. In the repair planning method according to claim 9 ,
A fitting step for generating a deterioration coefficient for determining a deterioration curve which is a relational expression between the elapsed years of the public works and the soundness;
A degradation curve step for accumulating data including the degradation coefficient,
The repair plan formulation step formulates the repair plan based on the degradation curve determined with reference to the degradation coefficient accumulated in the degradation curve step,
The fitting step obtains inspection data corresponding items for specifying the repair target key, based on the inspection data obtained, it calculates the deterioration coefficient of the degradation curve for each of the repair target, Repair planning method. In the repair plan planning method according to claim 13 ,
A deterioration coefficient determination step for determining whether the deterioration coefficient calculated for each repair object is within a predetermined range;
An error message output step of outputting an error message when determining that the degradation coefficient is not within a predetermined range;
A repair plan planning method further comprising: In the repair plan planning method according to claim 14 ,
A repair planning method, further comprising a deterioration curve correction step for receiving an input for correcting the deterioration curve. In the repair plan planning method according to claim 13 ,
When the fitting step determines that an average value of squared errors between the inspection data and the deterioration curve generated based on the deterioration coefficient is larger than a predetermined threshold, a plurality of inspection data groups A repair plan drafting method for acquiring the inspection data and calculating a deterioration coefficient of the deterioration curve for each inspection data group based on the acquired inspection data. A repair plan planning program for causing a computer to function as a repair plan planning system for planning a repair plan to be repaired based on a result of checking a public object,
An initial repair time determination step for determining a time when the soundness level indicating the degree of deterioration of the public property is equal to or less than a predetermined value as an initial repair time for starting repairs for the first time;
A repair plan formulation step for formulating a repair plan for repairing the repair target at intervals of a certain range from the initial repair time determined in the initial repair time determination step;
The annual total amount calculating step for calculating the total amount for each year by totaling all the expenses required for each repair performed for each fiscal year with all the public objects of the plurality of public objects,
A repair planning program for causing the computer to execute a leveling step of adjusting the initial repair time so that the total amount for each year is leveled.