JP2023058265A - Compaction method - Google Patents

Abstract

To compact the compaction area to proper compaction using multiple types of heavy equipment.SOLUTION: A first linear approximation between the number of times of compaction and the degree of compaction of first heavy equipment is obtained in a test area with the same soil quality as a given compaction area. A second linear approximation between the number of times of compaction and the degree of compaction of a second heavy equipment of a different type than the first heavy equipment is obtained in the test area. A first compaction level of the first heavy equipment is determined according to the correlation coefficient of the first linear approximation. A second compaction level of the second heavy equipment is determined according to the correlation coefficient of the second linear approximation.SELECTED DRAWING: Figure 7

Description

The present invention relates to a compaction method.

Conventionally, when compacting embankment materials, in order to ensure the number of times of compaction determined by test construction over the entire area of embankment construction, the number of times of compaction is managed using the GNSS (Global Navigation Satellite System). There is known a management method for managing the

In this management method, a compaction frequency distribution map is displayed on the monitor of a PC (Personal Computer) mounted on the machine (heavy equipment) used in the test construction. Then, the worker operates the heavy machinery while checking the displayed number of times of compaction distribution map, and performs compaction until all of the control blocks in the construction range become a color indicating that they have been compacted by the specified number of times.

"Compaction management guidelines for embankments using TS/GNSS" Ministry of Land, Infrastructure, Transport and Tourism, March 2020

However, the technique of Non-Patent Document 1 does not assume the use of multiple types of machines (heavy machines) when compacting one embankment construction range.

SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to provide a compaction method capable of compacting so that the compaction area is in an appropriate state using a plurality of types of heavy machinery.

A first compaction method according to the present invention obtains a first linear approximation between the number of compactions of a first heavy machine and the degree of compaction in a test area having the same soil quality as a predetermined compaction area, and in the test area A second linear approximation of the number of times of compaction and the degree of compaction of a second heavy machine different from the first heavy machine is obtained, and the first compaction of the first heavy machine according to the correlation coefficient of the first linear approximation A method for determining a level and determining a second compaction level for said second heavy equipment according to said second linear approximation correlation coefficient.

A second compaction method according to the present invention obtains a first linear approximation between the number of compactions of the first heavy machine and the amount of surface settlement due to compaction in a test area having the same soil quality as a predetermined compaction area, and A second linear approximation is obtained between the number of times of compaction and the amount of surface settlement due to compaction of a second heavy machine of a type different from the first heavy machine in the area, and the first A method for determining a first compaction level for heavy equipment and determining a second compaction level for said second heavy equipment according to the correlation coefficient of said second linear approximation.

According to the present invention, a plurality of types of heavy equipment can be used to compact the compacted area so that it is in an appropriate state.

It is a figure which shows the structure of a compaction management system. It is a figure which shows the hardware constitutions of a management apparatus and the vehicle-mounted equipment for heavy machinery. It is a functional block diagram of a management apparatus and vehicle-mounted equipment for heavy machinery. It is a figure which shows a compaction position table. FIGS. 5(a) and 5(b) are diagrams showing the bulldozer A, FIGS. 5(c) and 5(d) are diagrams showing the vibration roller A, and FIGS. 5(f) shows scraper A. FIG. FIG. 11 shows a compaction level table; 7(a) to 7(c) are graphs showing an example of the results of test construction. It is a flow chart which shows processing of a management device. FIG. 11 is a diagram (part 1) showing an example of a screen; FIG. 10 is a diagram (part 2) showing an example of a screen; 4 is a graph showing an example of the results of test construction of a rock mass material;

Hereinafter, a compaction management system according to one embodiment will be described in detail.

FIG. 1 schematically shows the configuration of a compaction management system 100 according to one embodiment. As shown in FIG. 1, the compaction management system 100 includes a management device 10, a plurality of on-board equipment for heavy machinery (in FIG. 1, on-board equipment 70 for a bulldozer, on-board equipment for vibrating rollers 72, and on-board equipment for scrapers 74). , provided. A network 80 such as the Internet connects the management device 10 and the on-board equipment for heavy machinery 70 , 72 , 74 . The management device 10 is, for example, an information processing device such as a PC (Personal Computer) that is used at a site for embankment construction. The on-vehicle devices 70, 72, and 74 for heavy machinery are devices mounted on heavy machinery (bulldozers, vibrating rollers, scrapers, etc.). A bulldozer is a construction machine that is mainly used for raking earth and sand, embankment, and leveling. A vibrating roller is a construction machine that is used for compaction of embankment, and a scraper is a construction machine that is used for scraping and transporting soil. .

FIG. 2 shows the hardware configuration of the management device 10 and the on-vehicle device for heavy machinery. As shown in FIG. 2, the management device 10 includes a CPU (Central Processing Unit) 90, a ROM (Read Only Memory) 92, a RAM (Random Access Memory) 94, a storage unit (HDD (Hard Disk Drive) or SSD (Solid State etc.) 96, a communication unit 97, a display unit 93, an input unit 95, a portable storage medium drive 99, and the like. A display unit 93 is a liquid crystal display or the like, and an input unit 95 is a keyboard, a mouse, a touch panel, or the like. Each component of the management device 10 is connected to the bus 98 . In the management device 10, the CPU 90 executes a program stored in the ROM 92 or the storage unit 96, or a program read from the portable storage medium 91 by the portable storage medium drive 99, so that the functions of each unit shown in FIG. is realized. Note that the function of each unit in FIG. 3 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). Details of each part in FIG. 3 will be described later.

The bulldozer vehicle-mounted device 70 includes a CPU 190, a ROM 192, a RAM 194, a storage unit (HDD, SSD, etc.) 196, a communication unit 197, a GNSS device 189, a display unit 193, an input unit 195, and the like. The GNSS device 189 is a device that detects position information (three-dimensional coordinates) of the bulldozer. Each component of the vehicle-mounted bulldozer 70 is connected to a bus 198 . In the vehicle-mounted bulldozer device 70, the CPU 190 executes programs stored in the ROM 192 or the storage unit 196, thereby realizing the functions of the respective units shown in FIG. The hardware configuration of the vibrating roller vehicle-mounted device 72 and the scraper vehicle-mounted device 74 is the same as that of the bulldozer vehicle-mounted device 70 .

FIG. 3 shows a functional block diagram of the management device 10, the bulldozer on-board unit 70, the vibrating roller on-board unit 72, and the scraper on-board unit 74. As shown in FIG.

The management device 10 functions as an input information acquisition unit 20, a travel locus acquisition unit 22, a compaction level update unit 24, and a screen generation/output unit 26 by the CPU 90 executing programs.

The input information acquisition unit 20 acquires information input by the operator through the input unit 195 of one of the on-board equipments 70 , 72 , and 74 for heavy machinery.

The travel locus acquisition unit 22 acquires the position information (three-dimensional coordinates) of each of the onboard equipments 70, 72, and 74 for heavy machinery, and acquires the travel locus of each heavy machinery based on the position information. The travel locus acquisition unit 22 uses the compaction position table 30 when acquiring the travel locus. Here, the compaction position table 30 is a table that stores information necessary for specifying the location (range) where each heavy machine has compacted from the position information of each heavy machine. Specifically, in the compaction position table 30, as shown in FIG. 4, information on the offset (front-rear direction, left-right direction, height direction) and rolling width is managed in association with the type of heavy equipment. there is

FIG. 5(a) shows the bulldozer A viewed from behind, and FIG. 5(b) shows the bulldozer A viewed from above. A GNSS device 189 is provided in the driver's seat of the bulldozer A. Here, the position of the GNSS device 189 and the position of the endless track of the bulldozer A do not match. Therefore, in the compaction position table 30, the position error (offset) between the center position of the GNSS device 189 and the compaction point (the rear end of the endless track) is managed, and the compaction range (width of the endless track) is managed. Information is managed. In the case of the bulldozer A shown in FIGS. 5(a) and 5(b), since there are two compaction locations, information on two compaction ranges (width H1a) is stored in the compaction position table 30. there is

Further, FIG. 5(c) shows a state of vibrating roller A viewed from the side, and FIG. 5(d) shows a state of vibrating roller A viewed from above. A GNSS device 189 is provided in the driver's seat of the vibrating roller A. Also in this case, the position of the GNSS device 189 and the compaction point of the vibrating roller A (roller contact position) do not match. Therefore, the compaction position table 30 manages the position error (offset) of the center position of the contact position between the GNSS device 189 and the roller, and also manages the information of the width of the roller (compaction range). Note that the GNSS device 189 may be provided in a place other than the driver's seat of the bulldozer A or the vibrating roller A. For example, in the case of the bulldozer A, the GNSS device 189 may be provided on a blade or the like.

FIG. 5(e) shows the scraper A viewed from the side, and FIG. 5(f) schematically shows the rear wheels and the GNSS device 189 viewed from behind. there is A part of the scraper A is provided with a GNSS device 189 . In this case as well, the position of the GNSS device 189 and the compaction position of the scraper A (the ground contact position of the rear wheel) do not match. Therefore, the compaction position table 30 manages the positional error (offset) between the GNSS device 189 and the center of the contact position of each rear wheel, and also manages information on the width (compaction range) of each rear wheel. ing. 5(e) and 5(f), since there are four compaction areas, the compaction position table 30 stores information on the four compaction areas (width H3a). Note that the installation position of the GNSS device 189 on the scraper A may be changed as appropriate.

Returning to FIG. 3, the compaction level updating unit 24 divides the embankment work area into a large number of blocks (square divided areas) (see FIGS. 9 and 10), and among the blocks, heavy machinery runs and compacts. The compaction level of the block that has been added is updated based on the compaction level table 32 . Here, the compaction level table 32 is a table that stores data obtained by preliminary test construction, and manages data as shown in FIG. Although the details of the compaction level table 32 will be described later, the compaction level update unit 24 updates the compaction levels stored in the compaction level table 32 to the compaction levels of the blocks corresponding to the positions compacted by the heavy machinery. Update the compaction level of each block by adding the compaction level of the heavy equipment that performed In this embodiment, the compaction level of each block refers to the ratio of the current compaction degree to the target compaction degree of each block. In addition, the degree of compaction is a value that indicates the degree of compaction at the time of embankment, assuming that the soil (or roadbed material) is the same as the sample used in the test. It indicates what percentage of the maximum dry density obtained by the indoor compaction test (JIS A 1210A/B method or JIS A 1210C/D/E method) corresponds to the value.

The screen generation/output unit 26 generates a screen that displays the compaction level of each block updated by the compaction level update unit 24, and transmits the screen to the display processing unit 42 of each vehicle-mounted equipment 70, 72, 74 for heavy machinery. (Output. That is, the screen generation/output unit 26 transmits the generated screen to the on-board equipment for heavy equipment 70, 72, 74, thereby causing the display unit 193 of the on-board equipment for heavy equipment 70, 72, 74 to display the generated screen.

The bulldozer vehicle-mounted device 70, the vibrating roller vehicle-mounted device 72, and the scraper vehicle-mounted device 74 function as a position information acquisition unit 40, a display processing unit 42, and an input processing unit 44 by the CPU 190 executing programs.

The position information acquisition unit 40 acquires position information (three-dimensional coordinates) from the GNSS device 189 and transmits it to the travel locus acquisition unit 22 of the management device 10 .

The display processing unit 42 acquires the screen generated by the screen generation/output unit 26 of the management device 10 and displays it on the display unit 193 .

The input processing unit 44 acquires information input by the operator via the input unit 195 and transmits the information to the input information acquisition unit 20 of the management device 10 .

(Regarding the processing of the management device 10)
Next, the processing of the management device 10 will be described in detail along the flowchart of FIG. 8 and with appropriate reference to other drawings. In addition, as a premise for starting the processing in FIG. Carry out test construction (rolling compaction test) related to embankment compaction using each heavy machine that runs on. This test construction is performed under the same conditions (soil quality and leveling thickness) as the actual compaction. At this time, regarding the setting of the yard (test area) where the test construction will be carried out, the appropriate width and length should be set in consideration of the test method, the soil quality of the embankment material, the size of the machine used for compaction, etc. It should be noted that, depending on the conditions of the site, such as soil quality and weather, excessive rolling compaction does not occur, so it is not necessary to determine the level of excessive rolling compaction.

In the test construction, the worker operates each heavy machine, repeatedly travels on the set yard, and acquires the relationship between the number of times of compaction and the degree of compaction (see Figure 7 (a) to Figure 7 (c) ).

Here, the number of times of compaction at which a predetermined (target) degree of compaction is stably obtained is defined as the specified number of times of compaction n. For example, if the predetermined degree of compaction is the control standard value (for example, 92%), the degree of compaction exceeds the control standard value, and even if compaction is performed further, the degree of compaction will hardly change. The number of times is defined as the specified number of times of compaction n.

In addition, when there is an approximately linear relationship between the number of times of compaction and the degree of compaction from 0 times of compaction to the specified number of times of compaction n, the degree of compaction at the specified number of times of compaction n Compaction level = 1.0. In addition, when an approximate linear relationship is recognized between the number of times of compaction and the degree of compaction, for example, the correlation coefficient when linearly approximated is within the reference range (0.85 or more and 1.0 or less, preferably 0.9 or more and 1.0 or less). At this time, the compaction level by one compaction of each heavy machine can be obtained using the following equation (1).
Compaction level by one compaction = 1.0/n (1)

7(a) to 7(c) show, as an example of the results of the test construction, the results of the test construction performed at the Kitaibaraki MS (mega solar) workshop of Japan Land Development Co., Ltd. FIG.

Fig. 7(a) shows the test construction using a vibrating roller (10t class vibrating roller (non-vibrating)) after spreading an embankment material whose soil quality is cohesive soil (clay) in the test area. It is a graph which shows the relationship between the number of compactions and the degree of compaction. From the graph of FIG. 7(a), the prescribed number of times of compaction n, at which the degree of compaction is stabilized exceeding the control standard value, is 4 times. In addition, the approximate straight line (y = 2.21x + 86.4) between the number of times of compaction and the degree of compaction from 0 times of compaction to the specified number of times of compaction has a correlation coefficient R of 0.9261. , an approximately linear relationship is recognized. Therefore, the compaction level for one compaction is calculated as 1.0/4=0.25.

Fig. 7(b) shows compaction when test construction is performed using a vibrating roller (10t class vibrating roller (strong vibration)) after spreading the embankment material whose soil is gravel soil in the test area. It is a graph which shows the relationship between the number of times and compaction degree. From the graph of FIG. 7(b), the prescribed number of times of compaction n, at which the degree of compaction is stabilized exceeding the control standard value, is 4 times. In addition, the approximate straight line (y = 3.12x + 87.7) between the number of times of compaction and the degree of compaction from 0 times of compaction to the specified number of times of compaction has a correlation coefficient R of 0.9712. , an approximately linear relationship is recognized. Therefore, the compaction level for one compaction is calculated as 1.0/4=0.25.

FIG. 7(c) is a graph showing the relationship between the number of times of compaction and the degree of compaction when test construction was performed using a scraper after spreading the embankment material whose soil was gravelly soil in the test area. is. From the graph of FIG. 7(c), the prescribed number of times of compaction n for which the degree of compaction is stabilized exceeding the control standard value is 4 times. In addition, the approximate straight line (y = 4.29x + 86.0) between the number of times of compaction and the degree of compaction from 0 times of compaction to the specified number of times of compaction has a correlation coefficient R of 0.9554. , an approximately linear relationship is recognized. Therefore, the compaction level for one compaction is calculated as 1.0/4=0.25.

The specified number of times of compaction n, at which the degree of compaction is stabilized exceeding the control standard value, may be determined by the operator, or may be determined using machine learning. In the latter case, a graph showing the relationship between the past number of times of compaction and the degree of compaction, and the prescribed number of times of compaction n determined by the operator from the graph are input to the information processing device as learning data, By machine learning, it becomes possible to automatically determine the prescribed number of times of compaction n from the newly obtained graph.

As described above, in this embodiment, the number of times of compaction and the number of times of compaction are determined for each type of heavy machinery (for each of the first heavy machinery, second heavy machinery, and so on) in the test area set to the same conditions as the actual compaction. A linear approximation (first linear approximation, second linear approximation, . . . ) with the degree of compaction is obtained, and the compaction level of each heavy machine is determined according to the correlation coefficient of the linear approximation. As a result, the compaction level of each heavy machine can be obtained with high accuracy. It should be noted that the heavy machinery whose correlation coefficient of linear approximation is not included in the reference range is judged to be unsuitable for the processing of Fig. 8 (compaction using multiple types of heavy machinery) and should not be used for compaction. good too. In this embodiment, the range for obtaining linear approximation is the range where the degree of compaction increases approximately linearly as the number of times of compaction increases from the start of compaction of the test area by heavy equipment (the degree of compaction stabilizes range). As a result, linear approximation can be performed within a range in which the correlation coefficient is likely to be included in the reference range, and the compaction level of each heavy machine can be obtained with high accuracy.

In addition, in the test construction, the number of times of compaction of each heavy machine required until excessive rolling compaction occurs (number of times of excessive rolling compaction m) is acquired. Then, the excessive rolling pressure level is calculated from the number of times m of excessive rolling pressure using the following equation (2).
Over-rolling level = compaction level by one compaction x m (2)

For example, in the case of the bulldozer A shown in FIG. 6, since the number of compactions n was 10, the compaction level for one compaction is 1.0/10=0.10. In addition, since the number of over-pressurization m of the bulldozer A is 14, the over-pressurization level is 0.10×14=1.4.

When the process of FIG. 8 is started, first, in step S12, the input information acquisition unit 20 allows the operator to and waits until the embankment work area, etc. are input. For example, with the map displayed on the display unit 93 of the management device 10, the operator inputs the outer circumference line of the compaction area (compaction area) as the embankment construction area. Also, the worker inputs the type of heavy machinery currently used at the site (the type of heavy machinery that may run in the embankment work area). It should be noted that the heavy machinery input by the operator becomes a monitoring target by the management device 10 in subsequent processing. Also, at this stage, the compaction level updating unit 24 refers to the compaction level table 32 (FIG. 6), and sets the smallest value among the over-rolling levels of the heavy machinery input by the operator to the embankment construction range. Set to overcompact level. For example, when bulldozer A, vibrating roller A, and scraper A are input, the smallest value (1.3) among the overpressure levels of these heavy machines becomes the overpressure level of the embankment construction range. If the information on the heavy machinery input by the user is not included in the compaction level table 32, it may be notified that test construction is required for the heavy machinery.

In step S12, when there is an input from the worker, the process proceeds to step S14, and the input information acquisition unit 20 waits until the leveling thickness of the embankment construction range reaches a predetermined value. Here, the predetermined value is about the same as the spread thickness when the test construction is performed. In step S14, the input information acquisition unit 20 receives information from the operator via the input unit 95 of the management device 10 or the input unit 195 of the bulldozer vehicle-mounted device 70 that the leveling thickness has reached a predetermined value. You may wait until the input is made, or after step S12, monitor the position and operation of the scraper and bulldozer, and use machine learning, etc., to confirm that the leveling thickness of the embankment construction range has reached a predetermined value. can be estimated.

If the determination in step S14 is affirmative, the process proceeds to step S16, and the travel locus acquisition unit 22 starts compaction management of the embankment construction range. That is, when the heavy machinery travels in the embankment construction area after this, the compaction level within the embankment construction area is updated. At this stage, the screen generation/output section 26 generates a screen as shown in FIG. As a result, the screen shown in FIG. 9 is displayed on the display unit 193 of each of the onboard units 70, 72, and 74 for heavy machinery. The screen of FIG. 9 divides the embankment work area into a number of blocks and displays the compaction level of each block by color. At this stage, the compaction level of all blocks is zero.

Next, in step S18, the travel locus acquisition unit 22 acquires the travel locus of each heavy machine. Specifically, the travel locus acquisition unit 22 acquires information such as position information (three-dimensional coordinates) and time transmitted from the position information acquisition unit 40 of each vehicle-mounted equipment 70 , 72 , 74 for heavy machinery.

Next, in step S19, the travel locus acquisition unit 22 identifies the compacted location. Specifically, based on the information stored in the compaction position table 30, the travel locus acquisition unit 22 identifies the compacted location (block) from the acquired position information of the heavy machinery (GNSS device 189). do.

Next, in step S20, the compaction level updating unit 24 determines whether or not the embankment work area has been compacted. When the determination in step S20 is negative, the process returns to step S18, but when the determination is positive, the process proceeds to step S22.

When the process proceeds to step S22, the compaction level update unit 24 updates the compaction level of the location (block) compacted by each heavy machine with the compaction level of one compaction corresponding to the heavy machine that compacted. do. For example, when a block with a compaction level of 0 is compacted by bulldozer A (compaction level of 1 compaction = 0.1), the compaction level of that block is 0 + 0.1 = 0.1. and update. Also, for example, when a block with a compaction level of 0.5 is compacted by vibrating roller A (compaction level of one compaction = 0.17), the compaction level of that block is set to 0.5. Update 5+0.17=0.67. In this embodiment, not only heavy machinery (e.g., vibrating rollers) that travels in the embankment construction area for compaction, but also heavy machinery that passes through the embankment construction area (e.g., through the embankment construction area, to another location) Compaction by transport scrapers, dump trucks, etc.) can also be reflected in the compaction level. Thereby, the compaction level of each block can be accurately managed. In addition, in this embodiment, whether the compaction is progressing or not is expressed by the integrated value of the compaction level in one compaction of each heavy machine that compacted each block. Unlike the case of expressing with , it is possible to manage compaction using multiple types of heavy machinery. In addition, even if multiple types of heavy machinery are run simultaneously in one embankment construction range, management is possible. Therefore, the time required for compaction can be shortened by parallel work using multiple heavy machines. In addition, since heavy machinery that is not planned to be used at the site can be diverted to compaction, heavy machinery can be used efficiently.

Next, in step S23, the screen generation/output unit 26 updates the screen with the updated compaction level, and outputs the updated screen to the display processing unit 42 of each vehicle-mounted equipment 70, 72, 74 for heavy machinery. As a result, the screen displayed on the display unit 193 of each of the on-board units 70, 72, and 74 for heavy machinery is updated. FIG. 10 shows an example of a screen during compaction. Since the position of the heavy machinery is also displayed on the screen in FIG. 10, the worker can easily determine where the heavy machinery he or she is operating is located in the embankment work area and which area should be compacted next. can be confirmed. In addition, since it is possible to easily check locations where excessive rolling pressure is likely to occur, the operator can avoid traveling in such locations. It should be noted that the screen generation/output unit 26 may output a warning on the screen or by voice when the heavy machinery is approaching a location where excessive rolling compaction is likely to occur.

Next, in step S24, the compaction level updating unit 24 determines whether or not the compaction level of the entire embankment construction range has reached a predetermined value (for example, 1.0) or higher. If the determination in step S24 is negative, the process returns to step S18, and the processes from step S18 to step S24 are repeated. On the other hand, if the determination in step S24 is affirmative, the process proceeds to step S26.

After proceeding to step S26, the screen generation/output unit 26 generates a screen for notifying the completion of compaction, and outputs the generated screen to the display processing unit 42 of each of the on-board units 70, 72, and 74 for heavy machinery. As a result, a screen for notifying the end of compaction is displayed on the display unit 193 of each of the on-board units 70, 72, and 74 for heavy machinery. By checking the screen that notifies the completion of compaction, the worker can proceed to the compaction work for the next embankment work area.

All the processing of FIG. 8 is completed by the above.

As described above in detail, according to the present embodiment, the travel locus acquisition unit 22 acquires the travel locus for each heavy machine and specifies the compaction location. Then, when the heavy machinery travels through the embankment construction range (S20: Yes), the compaction level update unit 24 updates the compaction level based on the compaction level table 32 that manages the compaction level of each heavy machinery for one compaction. Update firmness level. As a result, even when multiple types of heavy machinery run in the embankment construction area, it is possible to appropriately determine whether compaction has been completed for each part (block by block) of the embankment construction area. . Therefore, using multiple types of heavy machinery, it is possible to compact the embankment work area to an appropriate compaction level. In addition, since a plurality of types of heavy machinery can be used, it is possible to effectively utilize heavy machinery existing on site (for example, heavy machinery that is not originally used for compaction). Furthermore, since a plurality of heavy machines (regardless of the same type or different types) can be run simultaneously in one embankment construction range, the time required for compaction can be shortened.

In addition, in this embodiment, the screen generation/output unit 26 displays the compaction level for each of a large number of blocks obtained by dividing the embankment work area. You can see in detail where you should or shouldn't travel.

In addition, in the present embodiment, on the screen shown in FIG. 10 or the like, blocks that are likely to be subjected to excessive rolling compaction are displayed in an identifiable manner. You can run around.

In addition, in this embodiment, since the compaction level by one compaction of each heavy machine is determined in the test construction, by performing the test construction under the same conditions as the actual compaction conditions, one compaction The compaction level can be set to an appropriate value. In this test construction, linear approximation was obtained between the number of times of compaction and the degree of compaction for each type of heavy machinery in the test area under the same conditions as the actual compaction. Determine the compaction level for heavy equipment. As a result, the compaction level of each heavy machine can be obtained with high accuracy.

In the above embodiment, the compaction level of the embankment work area is updated according to the travel trajectory of the heavy equipment, and the case of displaying it on the screen has been described. ) may also be updated and displayed on the screen. For example, if the area adjacent to the embankment construction area is an area where compaction has been completed, there is a risk of over-rolling due to the further movement of the heavy machinery, so the compaction level of the adjacent area where compaction has been completed can be managed even after compaction and displayed on the screen, so that the operator can avoid places where excessive rolling compaction is likely to occur.

In addition, in the said embodiment, not only the vehicle-mounted equipment 70, 72, 74 for heavy machinery but the management apparatus 10 may have a GNSS apparatus. In this case, based on the positional information obtained from the GNSS device of the management device 10, the positional information of the vehicle-mounted equipment 70, 72, 74 for heavy machinery may be corrected. In addition, the device which acquires the positional information of the vehicle-mounted equipment 70, 72, 74 for heavy machinery does not need to be the GNSS device 189. FIG. For example, using Wi-Fi or the like, grasp the positional relationship between the on-board equipment for heavy machinery 70, 72, 74 and the management device 10, position information obtained from the positional relationship and the GNSS device of the management device 10 (three-dimensional coordinates) The positions of the on-board equipments 70, 72, 74 for heavy machinery may be detected from the above.

In the above embodiment, the case where the operator operates the heavy machinery while checking the display unit 193 has been described. You may make it carry out automatic driving|running control of a part. Further, depending on the soil properties of the embankment material, the compaction level may be controlled by physical properties such as the saturation of the embankment material and the air porosity of the embankment material, in addition to the degree of compaction.

(Modification)
In the above embodiment, an example in which the embankment material has a soil quality that can be controlled by the degree of compaction has been described. However, as embankment materials, there are cases in which soil properties that cannot be controlled by the degree of compaction, such as rock mass materials, are used.

A method of compaction when rock mass material is used as the embankment material will be described below.

In the case of rock mass materials that cannot be controlled by the degree of compaction, the relationship between the number of times of compaction and the amount of surface settlement due to compaction is evaluated by conducting test construction for each type of heavy machinery in the test area with the same soil quality as the actual compaction site. obtain. For example, a graph showing the relationship between the number of times of compaction and the amount of surface settlement as shown in FIG. 11 is obtained. Here, as described in the above Non-Patent Document 1 (“Guidelines for compaction management of embankments using TS/GNSS”, Ministry of Land, Infrastructure, Transport and Tourism, March 2020, P25), in the case of a rock mass material, the prescribed compaction The number of times of compaction n is generally set to the number of times of compaction corresponding to the inflection point of the amount of surface settlement (near the point where the amount of settlement converges).

Therefore, in this modification, the relationship between the number of times of compaction and the amount of surface settlement is linearly approximated from the start of compaction to the number of times of compaction corresponding to the inflection point of the amount of surface settlement (specified number of times of compaction n). . Then, when an approximately linear relationship is recognized between the number of times of compaction from 0 times of compaction to the specified number of times of compaction n and the amount of surface settlement, that is, the correlation coefficient of the linear approximation is within the reference range (0. 85 or more and 1.0 or less, preferably 0.9 or more and 1.0 or less), the compaction level is set to 1.0 with respect to the degree of compaction at the specified number of times of compaction n. At this time, the compaction level by one compaction of each heavy machine can be obtained using the above equation (1) (compaction level by one compaction=1.0/n).

For example, in the case of the graph of FIG. 11, the number of times of compaction (prescribed number of times of compaction n) corresponding to the inflection point is 8 times. In addition, the approximate straight line (y = 0.535x) between the number of times of compaction and the amount of surface settlement from 0 times of compaction to 8 times of specified compaction has a correlation coefficient R of 0.9973, and the approximation A linear relationship is generally recognized. Therefore, the compaction level for one compaction is calculated as 1.0/8=0.125.

Thus, in this modified example, the number of times of compaction and the surface by compaction are determined for each type of heavy machinery (first heavy machinery, second heavy machinery, etc.) in the test area set to the same conditions as the actual compaction. A linear approximation (first linear approximation, second linear approximation, etc.) with the amount of settlement is obtained, and the compaction level of each heavy machine by one compaction is obtained according to the correlation coefficient of the linear approximation. As a result, even if the embankment material has a soil quality (rock mass material, etc.) that cannot be controlled by the degree of compaction, the compaction level by one compaction of each heavy machine can be obtained with high accuracy. Therefore, even in the case of a rock mass material, the same process as in FIG. 8 (compaction using a plurality of types of heavy machinery) can be performed using the compaction level for one compaction of each heavy machinery. In the case of boulder material, since excessive rolling compaction does not occur, the excessive rolling compaction level is not managed.

Where the inflection point of the graph of FIG. 11 is located may be determined by the operator, or may be determined using machine learning. In the latter case, a past graph and an inflection point determined by the operator from the graph are input to the information processing device as learning data, and machine learning is performed to determine the inflection point from the newly obtained graph. It becomes possible to automatically determine the inflection points.

In addition, in the present embodiment and the present modification, the predetermined value (thickness of spreading in the main construction) in step S14 of FIG. 8 is set as follows.
(a) Preliminarily measure the spread thickness in test construction.
(b) Measure the finished thickness obtained from the amount of surface subsidence at the specified number of times of compaction n.
(c) Set the leveling thickness (predetermined value) in this construction from the following equation (3).
Laying thickness of main construction = Predetermined finished thickness x (Laying thickness of test construction/finished thickness of test construction)
…(3)
The predetermined finished thickness is, for example, 30 cm or less for embankment embankment work and road body embankment work, and 20 cm or less for subgrade embankment work.

The embodiments described above are examples of preferred implementations of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the spirit of the present invention.

REFERENCE SIGNS LIST 10 management device 22 travel locus acquisition unit 24 compaction level update unit 26 screen generation/output unit

Claims (9)

Obtaining a first linear approximation between the number of times of compaction and the degree of compaction of the first heavy machine in the test area with the same soil quality as the predetermined compaction area,
Obtaining a second linear approximation between the number of times of compaction and the degree of compaction of a second heavy machine of a type different from the first heavy machine in the test area,
A first compaction level of the first heavy machine is determined according to the correlation coefficient of the first linear approximation, and a second compaction level of the second heavy machine is determined according to the correlation coefficient of the second linear approximation. Compaction method to decide. When the first heavy machine and the second heavy machine run through the predetermined compaction area, the first compaction level and the second compaction level are added to determine the compaction of the predetermined compaction area. 2. The compaction method of claim 1, wherein the compaction level is updated. The range for obtaining the first linear approximation is a range in which the degree of compaction increases approximately linearly as the number of times of compaction increases from the start of compaction of the test area by the first heavy equipment,
The range for obtaining the second linear approximation is a range in which the degree of compaction increases substantially linearly as the number of times of compaction increases from the start of compaction of the test area by the second heavy equipment. Compaction method according to claim 1 or claim 2. The first compaction level is the reciprocal of the number of compactions in the range for which the first linear approximation was obtained,
4. The compaction method of claim 3, wherein the second compaction level is the reciprocal of the number of compactions within the range for which the second linear approximation is obtained. A compaction method according to any one of claims 1 to 4, wherein the test area is leveled. The compaction method according to any one of claims 1 to 5, wherein the correlation coefficient of the first linear approximation and the correlation coefficient of the second linear approximation are 0.85 or more and 1.0 or less. Obtain the first linear approximation between the number of times of compaction of the first heavy machine and the amount of surface settlement due to compaction in the test area with the same soil quality as the predetermined compaction area,
Obtaining a second linear approximation between the number of times of compaction and the amount of surface settlement due to compaction of a second heavy machine of a type different from the first heavy machine in the test area,
A first compaction level of the first heavy machine is determined according to the correlation coefficient of the first linear approximation, and a second compaction level of the second heavy machine is determined according to the correlation coefficient of the second linear approximation. Compaction method to decide. The first linear approximation is obtained based on the number of compactions of the first heavy equipment and the inflection point of the amount of surface settlement due to compaction,
8. The compaction method according to claim 7, wherein the second linear approximation is obtained based on the number of compactions of the second heavy machine and the inflection point of the amount of surface settlement due to the compaction. The first compaction level is the reciprocal of the number of times of compaction corresponding to the inflection point for which the first linear approximation was obtained,
9. The compaction method of claim 8, wherein the second compaction level is the reciprocal of the number of compactions corresponding to the inflection point for which the second linear approximation was obtained.

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