Construction plan support device

Abstract

To provide a construction plan support device estimating a removed sludge amount during a sludge removal work accompanied by water injection.SOLUTION: A construction plan support device 100 used in a sludge removal work accompanied by water injection comprises: data input means 110 for inputting predetermined scheduled construction data of unconstructed works; data storage means 120 for storing construction result data including scheduled construction data and water injection rate data of a plurality of already constructed works; data reading means 130 for reading construction result data of a predetermined plurality of already constructed works from the data storage means 120; water injection rate prediction means 130 for predicting water injection rate of the unconstructed works based on the read construction result data of the plurality of already constructed works from the input scheduled construction data of unconstructed works; and removed sludge amount estimation means 130 for estimating a removed sludge amount in the unconstructed works from the predicted water injection rate.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a construction planning support device, a construction planning support method, a computer program, and a recording medium on which the same is recorded. [Background technology]

[0002] In the pre-boring pile method, an auger is first used to excavate the ground and create a borehole for inserting the pile. At this time, drilling water is injected into the borehole through piping provided on the auger, thereby reducing drilling resistance and turning the excavated soil into mud. The muddy soil is then discharged from the borehole by a transport mechanism on the auger (for example, Patent Document 1). [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2021-85196 [Overview of the project] [Problems that the invention aims to solve]

[0004] In construction methods that involve water injection and mud removal, such as pre-boring pile construction, the amount of mud removed significantly impacts construction costs. Therefore, being able to estimate the amount of mud removed in advance is valuable information.

[0005] The object of the present invention is to provide a construction planning support device for estimating the amount of mud to be removed in construction work that involves mud removal accompanied by water injection. [Means for solving the problem]

[0006] The present invention relates to a construction planning support device used in construction work involving water injection and mud removal, comprising: a data input means for inputting predetermined construction plan data for unconstructed construction work; a data storage means for storing construction performance data including construction plan data and water injection rate data for a plurality of previously constructed construction works; a data reading means for reading predetermined construction performance data for a plurality of previously constructed construction works from the data storage means; a water injection rate prediction means for predicting the water injection rate of the unconstructed construction work based on the construction plan data of the unconstructed construction work input by the data input means and the construction performance data of a plurality of previously constructed construction works read from the data storage means by the data reading means; and a mud removal amount estimation means for estimating the mud removal amount of the unconstructed construction work from the water injection rate predicted by the water injection rate prediction means.

[0007] The present invention relates to a construction planning support method for construction work involving sludge removal with water injection, which predicts the water injection rate of an unconstructed construction project based on predetermined construction plan data of an unconstructed construction project, and construction performance data including construction plan data and water injection rate data of a predetermined number of already constructed construction projects, and estimates the amount of sludge to be removed from the unconstructed construction project based on the predicted water injection rate.

[0008] The present invention is used to support construction planning for construction work involving water injection and sludge removal, and comprises a computer equipped with data input means for inputting predetermined construction plan data for unconstructed construction work, and data storage means for storing construction performance data including construction plan data and water injection rate data for multiple completed construction works. A procedure for requesting the input of planned construction data for unconstructed construction work from the aforementioned data input means, A procedure for reading construction performance data for a predetermined number of completed construction projects from the data storage means, A procedure for predicting the water injection rate of the unconstructed construction based on the construction schedule data of the unconstructed construction that has been entered and the construction performance data of the multiple completed constructions that have been read, A procedure for estimating the amount of sludge to be removed from the unconstructed work based on the predicted water injection rate, It is a computer program that executes [something].

[0009] The present invention is a computer-readable recording medium on which a computer program of the present invention is recorded.

Advantages of the Invention

[0010] According to the present invention, from predetermined construction schedule data of unconstructed works, based on construction performance data of a plurality of constructed works, the water injection rate of unconstructed works can be predicted, and the sludge discharge amount of unconstructed works can be estimated from the predicted water injection rate.

Brief Description of the Drawings

[0011] [Figure 1A] It is a first explanatory drawing of the pre-boring pile method. [Figure 1B] It is a second explanatory drawing of the pre-boring pile method. [Figure 1C] It is a third explanatory drawing of the pre-boring pile method. [Figure 1D] It is a fourth explanatory drawing of the pre-boring pile method. [Figure 1E] It is a fifth explanatory drawing of the pre-boring pile method. [Figure 2] It is a block diagram showing a construction plan support device according to an embodiment. [Figure 3] It is a flowchart of a construction plan support method using a construction plan support device according to an embodiment.

Modes for Carrying Out the Invention

[0012] Embodiments will be described in detail.

[0013] The construction plan support method according to the embodiment is applied to excavation works that involve sludge discharge with water injection of excavation water such as the precast concrete pile method. Hereinafter, the pre-boring pile method, which is a type of the precast concrete pile method, will be described as an example.

[0014] In the pre-boring pile method, as shown in Figures 1A to E, cement slurry 22 is injected into a borehole 21 formed by excavating the ground 20 while injecting drilling water, and then a tubular pile 23 is inserted and anchored.

[0015] Specifically, as shown in Figure 1A, first, the auger 10 is used to excavate the ground 20 and form a borehole 21. At this time, excavation water is injected through piping provided in the auger 10. This injection of excavation water reduces the excavation resistance and turns the soil excavated in the borehole 21 into mud. The muddy soil is then discharged out of the borehole by the transport mechanism of the auger 10.

[0016] Next, as shown in Figure 1B, when the borehole 21 reaches the planned depth, the auger 10 stops drilling and the injection of drilling water is stopped.

[0017] Next, as shown in Figure 1C, while the auger 10 is being pulled up, cement slurry 22 is injected into the excavation hole 21 through the piping provided on the auger 10.

[0018] Next, as shown in Figure 1D, a cylindrical pile 23, lifted by a crane (not shown), is erected and inserted into the excavated hole 21 into which cement slurry 22 has been injected. The pile 23 may be divided into multiple sections along its length, in which case the joint construction can be performed while inserting the divided piles 23.

[0019] Then, as shown in Figure 1E, after the pile 23 is sunk into the borehole 21, the pile 23 becomes fixed to the ground 20 once the cement slurry 22 hardens.

[0020] Figure 2 shows a construction planning support device 100 according to an embodiment. This construction planning support device 100 outputs optimal conditions for the composition of drilling water in the drilling process, particularly as shown in Figures 1A to B, for construction work that has not yet been carried out.

[0021] The construction planning support device 100 according to this embodiment consists of a computer on which a computer program for construction planning support is installed, and includes an input unit 110 such as a keyboard, a database 120, an information processing unit 130 including a CPU and memory, and a display unit 140 such as a display.

[0022] The input unit 110 is a data input means for inputting predetermined construction plan data for uncompleted construction work. The construction plan data includes at least one of the following: physical information relating to the excavation shape of the excavation work, such as data relating to the excavation length, excavation diameter, drill width and height used for excavation; physical information relating to the shape of the piles to be injected, such as data relating to the pile length, pile diameter (inner diameter, outer diameter), pile joint structure, pile strength, pile density and number of joints; information relating to the materials used for injection, such as data relating to the cement slurry volume, cement weight, excavation water volume and excavation water injection rate; and information relating to the machinery used for excavation, such as data relating to the total weight of the machinery, maximum output torque, maximum output voltage value and the length of the support column that supports the drilling drill. Furthermore, the planned construction data may include at least one of the following data relating to the geological formation of the construction site: for example, the hardness of the formation (N-value), depth, type of ground, groundwater infiltration, water content, grain size of the soil, uniformity coefficient, weight ratio of rock, weight ratio of gravel, weight ratio of sand, weight ratio of silt, weight ratio of clay, composition limit, latitude and longitude of the construction site, and distance to the nearest water source (river, pond, sea, etc.).

[0023] Database 120 is a data storage means that stores construction performance data, including construction plan data and water injection rate data, for multiple completed construction projects. For example, multiple pieces of information related to pile construction entered in the input unit 110 are distributed to their respective databases 120. Database 120 includes a construction method database 121, a construction / design database 122, a geological database 123, a drilling water database 124, an analysis database 125, and an evaluation information database 126, and stores construction performance data for multiple completed construction projects and basic data for calculations performed by the information processing unit 130. For example, database 120 predicts the values ​​in the drilling water database 124 based on the data in the construction method database 121, the construction / design database 122, and the geological database 123, and the predicted water injection rate is stored in the analysis database 125. Similarly, information about the prediction formula, the type of algorithm, and the values ​​used in the calculation process are also stored in database 120. The evaluation information database 125 may store, for example, data on prediction accuracy calculated from the error between the predicted water injection rate and the actual water injection rate, data on the correlation between the water injection rate and the actual amount of sludge discharged, and data on prediction accuracy calculated from the error between the predicted amount of sludge discharged using the predicted water injection rate and the actual amount of sludge discharged.

[0024] The construction method database 121 stores data such as the type of precast concrete pile construction method, the manufacturer, the type of construction machinery, and the client for each of several previously completed construction projects, as construction plan data from the construction performance data.

[0025] The construction and design database 122 stores data for each of several previously completed construction projects, including the shape, inner diameter, and depth of the excavated hole 21; the composition, type of cement, and cement content of the cement slurry 22; and the shape, inner and outer diameters, length, and number of joints of the piles 23, as planned construction data from the construction performance data.

[0026] The geological database 123 stores data for each of the multiple completed construction projects, including planned construction data from the construction performance data, such as the type of geological layer at each depth of the excavated hole 21 at the construction site, the fine-grained content and particle size (JIS A1223:2020) of each layer, and the type of acidic or alkaline soil that makes up each layer.

[0027] The drilling water database 124 stores construction performance data for each of several completed construction projects, including whether or not drilling water was used, whether or not a dispersant was added to the drilling water, the type of dispersant, the amount of dispersant added, the material cost of the dispersant, the temperature at which the dispersant was used, the predicted water injection rate, and the actual water injection rate. Here, "water injection rate" is the volume percentage of the amount of drilling water used based on the volume of the completed borehole 21. The predicted water injection rate data is the water injection rate predicted by this construction planning support device 100 at the pre-construction stage of each completed construction project, based on the data from the construction method database 121, the construction / design database 122, the geological formation database 123, and the drilling water database 124. The actual water injection rate data is the actual water injection rate during construction for each completed construction project.

[0028] The analysis database 125 stores data for each of several completed construction projects, including the accuracy of the predicted water injection rate and the calculation method used by the information processing unit 130 for predicting the water injection rate, as construction performance data. Here, the accuracy of the predicted water injection rate is, for example, the deviation of the predicted water injection rate from the actual water injection rate, expressed as a percentage.

[0029] The evaluation information database 126 stores basic data such as the proportionality constant between the water injection rate and the amount of excavated sludge for each construction site or region, the transport restriction rate for each construction site or region, and the unit price for sludge treatment. The transport restriction rate is the ratio of the actual load to the maximum load capacity of the sludge transport vehicle. The unit price for sludge treatment is the treatment cost per unit of excavated sludge when the sludge transport vehicle is transporting the sludge at its maximum load capacity.

[0030] The computer program for supporting construction planning is, broadly speaking, installed on the computer that constitutes the construction planning support device 100 according to the embodiment. A procedure for requesting input of predetermined construction schedule data for unconstructed work from the input unit 110, and For each of a plurality of construction patterns P for a specific construction element in unconstructed work N (N = 1, 2, 3, ···, N L ) respectively, a procedure for reading construction performance data of a plurality of predetermined constructed works from the database 120, and For each of the plurality of construction patterns P N A procedure for predicting the water injection rate of the unconstructed work based on the input construction schedule data of the unconstructed work and the read construction performance data of the plurality of constructed works, and For each of the plurality of construction patterns P N A procedure for estimating the sludge discharge amount of the unconstructed work from the predicted water injection rate, and [[ID=1B]] For each of the plurality of construction patterns P N A procedure for estimating the sludge treatment cost of the unconstructed work from the estimated sludge discharge amount of the unconstructed work, and Based on the estimated sludge treatment costs of the estimated plurality of construction patterns P N A procedure for causing the display unit 140 to display the one with the lowest total cost among the plurality of construction patterns P N is to be executed. This computer program can be an independent transaction object as a computer-readable recording medium such as a CD-ROM.

[0031]

[0032] Next, a construction plan support method using the construction plan support device 100 according to the embodiment will be specifically described according to the flowchart of FIG. 3.

[0033] <00001B3>Here, in this embodiment, the plurality of construction patterns P N are such that the addition amount m of the dispersant to the excavated water to be injected with water N (N = 1, 2, 3, ···, N L ) is a variable. At this time, m N-1 < m N (N = 1, 2, 3, ···, N L) and setting m1=0, multiple construction patterns P N This includes the amount of dispersant added, including cases where no dispersant is added to the drilling water used for injection. N It will be composed of the following variables. In addition, N L If we set =2, then there are multiple construction patterns P N This consists of two construction patterns: P1, in which no dispersant is added to the drilling water used for injection, and P2, in which a predetermined amount of dispersant is added to the drilling water used for injection (m2).

[0034] First, in step S1 after the start, the display unit 140 prompts the user to input predetermined construction schedule data for the uncompleted construction project, and if appropriate input is received from the input unit 110, the system proceeds to step S2. Therefore, the input unit 110 constitutes the data input means. Here, the construction schedule data for the uncompleted construction project to be input corresponds to the construction schedule data for completed projects stored in the construction method database 121, the construction / design database 122, and the geological database 123.

[0035] In step S2, construction pattern P N Write P1 to it, and the amount of dispersant to add m N Write m1 to it and proceed to the next step S3.

[0036] In step S3, construction pattern P N Amount of dispersant added m N In this case, the system reads construction performance data for a predetermined number of previously completed construction projects to be used for analysis from the construction method database 121, etc., of the database 120, and proceeds to the following step S4. Therefore, the database 120 constitutes the data storage means, and the information processing unit 130 that executes this step S3 constitutes the data reading means. If, for example, the number of construction performance data for previously completed construction projects used for analysis is less than 100, and a highly accurate analysis cannot be performed, an error is displayed on the display unit 140.

[0037] In step S4, the water inundation rate of the uncompleted construction is predicted based on the construction schedule data of the uncompleted construction entered in step S1 and the construction performance data of multiple completed constructions read in step S3, and the process proceeds to the following step S5. Therefore, the information processing unit 130 that performs this step S4 constitutes the water inundation rate prediction means.

[0038] Preferably, the information processing in steps S3 and S4 by the information processing unit 130 is performed using AI (artificial intelligence), that is, it involves forming a predictive model by machine learning using construction performance data from multiple completed construction projects as training data, and then inputting planned construction data for uncompleted construction projects into the predictive model to simulate the uncompleted projects and predict the water inundation rate.

[0039] In construction projects involving water injection and mud removal, it is desirable to predict the appropriate water injection rate in advance from the perspective of reducing the amount of mud removed and thereby reducing the environmental burden. However, the water injection rate is affected by many factors. For example, if the fine particle content is high, the water injection rate can differ by more than twice even for soils with the same fine particle content, due to the influence of other factors. Therefore, predicting the water injection rate is difficult, and in reality, we have no choice but to rely on human experience. On the other hand, AI-based prediction of the water injection rate takes into account many factors that affect the water injection rate, so it is possible to make highly accurate predictions of the water injection rate.

[0040] Examples of algorithms that can be used in this AI-based information processing include decision trees, random forests, support vector machines, neural networks, deep learning, logistic regression, nearest neighbor classification (K-NN), and discriminant analysis. From the viewpoint of obtaining high accuracy in predicting water levels, it is preferable that this AI-based information processing uses ensemble learning with two or more of these algorithms.

[0041] Furthermore, in this AI-based information processing, it is preferable that in step S3, data on the prediction accuracy and calculation method of the predicted water inundation rate is read from the analysis database 125, and based on this, only the construction performance data of multiple completed construction projects whose prediction accuracy of the predicted water inundation rate is above a certain level is selected and read, and in step S4, the water inundation rate of the uncompleted construction project is predicted using the optimal calculation method based on the construction performance data of multiple completed construction projects with superior prediction accuracy of the predicted water inundation rate.

[0042] In step S5, data on the proportionality constant between the water injection rate and the amount of mud removed for the unconstructed construction project is read from the evaluation information database 126 of the database 120. The amount of mud removed for the unconstructed construction project is then estimated by multiplying the water injection rate predicted in step S4 by this proportionality constant, and the process proceeds to the following step S6. Therefore, the information processing unit 130 that executes step S5 constitutes the mud removal amount estimation means. It has been found that the water injection rate and the amount of mud removed are proportional at the level of each construction site and at the level of each region.

[0043] In step S6, the system reads data on the removal restriction rate and the unit price for sludge treatment for the unconstructed construction project from the evaluation information database 126. It then divides the amount of sludge estimated in step S5 by the removal restriction rate and multiplies it by the unit price for sludge treatment to estimate the sludge treatment cost for the unconstructed project, and proceeds to the following step S7. Therefore, the information processing unit 130 that performs step S6 constitutes the sludge treatment cost estimation means.

[0044] In step S7, N <N L Determine whether or not, and if YES proceed to step S8, while if NO, i.e., N=N L In that case, proceed to step S9.

[0045] In step S8, construction pattern P N P with pattern number N+1 N+1 Rewrite it as follows, and the amount of dispersant added m N The m of pattern number N+1 N+1 Rewrite it and return to step S3.

[0046] In step S9, multiple construction patterns P were estimated in the loop from step S3 to step S8. N Based on the sludge treatment costs, the total cost for each method is calculated, reflecting the cost reduction due to the reduction in sludge volume caused by the addition of a dispersant and the cost increase due to the increase in material costs caused by the addition of a dispersant. By comparing these, the construction pattern P with the lowest total cost is determined. N The process ends after selecting and displaying the selected option on the display unit 140. Therefore, the information processing unit 130 that executes this step S9 constitutes the construction pattern selection means.

[0047] Using the construction planning support device 100 according to the above embodiment, it is possible to predict the water injection rate of an unconstructed construction project based on predetermined construction plan data of an unconstructed construction project and construction performance data of a predetermined number of completed construction projects, and to estimate the amount of sludge to be removed from the unconstructed construction project based on the predicted water injection rate. Furthermore, it is possible to estimate the sludge treatment cost from the amount of sludge to be removed. In addition, multiple construction patterns P N Based on the estimated sludge disposal costs, the construction pattern P with the lowest total cost is selected. N You can select and output it.

[0048] In the above embodiment, the pre-boring pile method of the precast concrete pile method was used as an example of a construction method that involves removing sludge while injecting excavation water, but it is not limited to this, and other methods such as the jet grout method, steel pipe pile method, mid-layer mixing method, deep-layer mixing method, and continuous wall method may also be used. Furthermore, other construction methods that involve removing sludge while injecting water may include, for example, shallow-layer mixing improvement work using powder mixing, building construction, embankment construction, and other civil engineering works.

[0049] In the above embodiment, the amount of dispersant added to the drilling water to be injected is m N Multiple construction patterns P that vary NWhile the comparison focuses on total costs, it is not limited to this. It may also involve comparing total costs for multiple construction patterns that vary the combination and mixing ratio of dispersants when multiple types of dispersants are mixed and added to the drilling water used for injection, as well as multiple construction patterns that vary the amount of dispersant added.

[0050] In the above embodiment, there are multiple construction patterns P N The amount of dispersant to add to the drilling water being injected is m N While this was described as a variable, it is not limited to this, and for example, the amount of dispersant added to the cement slurry may also be varied.

[0051] In the above embodiment, construction pattern P N The system is designed to select and output the option with the lowest total cost, but it is not limited to this; for example, it could also select and output the option with the highest construction quality. [Industrial applicability]

[0052] The present invention is useful in the field of construction planning support devices, construction planning support methods, and computer programs and recording media on which they are recorded. [Explanation of symbols]

[0053] 10 Ogre 20 Ground 21 Boreholes 22 Cement slurry 23 stake 100 Construction planning support device 110 Input Section 120 databases 121 Construction Method Database 122 Construction and Design Database 123 Geological Database 124 Drilling Water Database 125 Analysis Databases 126 Evaluation Information Database 130 Information Processing Section 140 Display section

Claims

1. A construction planning support device used in construction work involving the injection of water and the removal of mud, A data input means for inputting predetermined construction schedule data for construction work not yet completed; A data storage means for storing construction record data including construction schedule data and water injection rate data for a plurality of already-constructed construction works; A data reading means for reading construction performance data of a plurality of predetermined construction works already completed from the data storage means; a water injection rate prediction means for predicting a water injection rate of the uncompleted construction work based on the construction plan data of the uncompleted construction work input by the data input means and on the construction performance data of a plurality of already-completed construction works read from the data storage means by the data reading means; a sludge amount estimation means for estimating a sludge amount of the unexecuted construction work from the water injection rate predicted by the water injection rate prediction means; A construction planning support device equipped with the above.

2. 2. The construction planning support device according to claim 1, The construction planning support device further comprises a sludge disposal cost estimating means for estimating a sludge disposal cost for the uncompleted construction work from the sludge volume of the uncompleted construction work estimated by the sludge volume estimating means.

3. 3. The construction planning support device according to claim 2, For each of a plurality of construction patterns of a specific construction element in the uncompleted construction work, the water injection rate prediction means predicts a water injection rate of the uncompleted construction work, the sludge discharge amount estimation means estimates a sludge discharge amount of the uncompleted construction work, and the sludge discharge treatment cost estimation means estimates a sludge discharge treatment cost of the uncompleted construction work; The construction planning support device further comprises a construction pattern selection means for selecting one of the plurality of construction patterns based on the sludge disposal costs of the plurality of construction patterns estimated by the sludge disposal cost estimation means.

4. 4. The construction planning support device according to claim 3, The construction planning support device, wherein the plurality of application patterns are a plurality of application patterns in which the amount of dispersant added to the water to be poured is varied.

5. 5. The construction planning support device according to claim 1, The water injection rate prediction means forms a prediction model through machine learning using the construction performance data of the multiple already-constructed construction projects as training data, and predicts the water injection rate by inputting the planned construction data of the unconstructed construction projects into the prediction model and simulating the unconstructed construction projects.

6. 5. The construction planning support device according to claim 1, The construction planning support device wherein the construction work in which sludge is removed while injecting water is excavation work.

7. A construction planning support method for construction work in which sludge is drained while water is injected, comprising the steps of: A construction planning support method for predicting a water injection rate for an unconstructed construction project based on construction plan data and construction performance data including water injection rate data for a plurality of previously constructed construction projects from predetermined construction plan data for the unconstructed construction project, and estimating the amount of sludge discharged from the unconstructed construction project from the predicted water injection rate.

8. A computer is used to support a construction plan for a construction project in which sludge is removed while water is injected, the computer comprising: a data input means for inputting predetermined construction schedule data for a construction project that has not yet been completed; and a data storage means for storing construction record data including construction schedule data and water injection rate data for a plurality of construction projects that have already been completed. A step of requesting input of construction schedule data for construction work not yet carried out from the data input means; A procedure for reading construction performance data of a plurality of predetermined construction works already completed from the data storage means; A step of predicting a water injection rate of the uncompleted construction work based on the construction performance data of the plurality of already-completed construction works read from the construction schedule data of the uncompleted construction work inputted; A step of estimating the amount of sludge discharged from the unconstructed construction work from the predicted water injection rate; A computer program that executes the following:

9. A computer-readable recording medium having the computer program according to claim 8 recorded thereon.

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