WO2024034058A1 - Work management system and work management method - Google Patents

Abstract

A work management system (1) comprises a control unit (111) that generates a process schedule for construction, and a display unit (221) that displays the process schedule. The control unit (111) determines a load state indicating a task load of a plurality of managers on the basis of information including schedule information for the plurality of managers. The display unit (221) displays schedule information and the load state in association with the processes that each of the plurality of managers is responsible for.

Description

Construction management system and construction management method

The present disclosure relates to a construction management system and a construction management method.

During construction work at construction sites such as buildings, multiple workers (persons in charge) often perform multiple tasks in parallel. A construction manager (on-site agent) who manages construction needs to understand the work load status of each worker and the progress status of multiple jobs being performed simultaneously. On top of that, the construction manager needs to take measures to ensure that all work is completed safely and by the deadline while maintaining the quality of the work.

The construction manager grasps the workload of the workers by holding morning meetings, interviewing the person in charge of work, checking daily work reports, etc., and also monitors the progress of the work by visiting the work site and checking visually and checking site photos. I understand the situation. Based on the situation ascertained in this way, the construction manager increases or replaces workers, reviews the work process, etc.

Japanese Patent Application Publication No. 2020-135098

In order for construction managers to be able to appropriately judge whether it is necessary to increase or replace workers, review work processes, etc. based on the situation ascertained, a certain level of track record and experience in the field is required. becomes. In the current situation where the working population in the construction industry is decreasing, there is a need to develop construction managers who can make such appropriate decisions. There is a need for a construction management system that can perform management.

The present disclosure has been made to solve such problems, and the purpose of the present disclosure is to provide a construction management system and a construction management method that allow even inexperienced construction managers to efficiently manage construction. The goal is to provide the following.

The construction management system of the present disclosure is a system that manages the construction of a construction project consisting of multiple steps handled by multiple personnel. The construction management system includes a control unit that generates a construction schedule, and a display unit that displays the schedule. The control unit determines a load state indicating the workload of the plurality of persons in charge based on information including schedule information of the plurality of persons in charge. The display unit displays schedule information and load status in association with the processes each of the plurality of persons in charge is in charge of.

Furthermore, the construction management method of the present disclosure is a method for managing the construction of construction work consisting of multiple steps handled by multiple personnel. The construction management method includes a step of generating a construction schedule and a step of displaying the schedule. The generating step includes determining a load state indicating the workload of the plurality of persons in charge based on information including schedule information of the plurality of persons in charge. The step of displaying includes a step of displaying schedule information and load status in association with the processes each of the plurality of persons in charge is in charge of.

According to the present disclosure, even a construction manager with little experience can efficiently manage construction.

FIG. 1 is a diagram showing a hardware configuration of a construction management system according to a first embodiment. It is a figure showing a functional block diagram in a construction management system. It is a flowchart of main processing. It is a flowchart of display information generation processing. It is a figure showing an example of a process chart. It is a figure showing an example of a process chart. It is a figure showing a functional block diagram in a construction management system concerning a 2nd embodiment. It is a flowchart of main processing. It is a figure showing an example of a process chart. FIG. 3 is a diagram for explaining a learning data set. FIG. 3 is a diagram for explaining a learning data set. It is a flowchart of learning processing. It is a flowchart of route display processing concerning a modification. It is a figure showing an example of a process chart concerning a modification.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. Although a plurality of embodiments will be described below, it has been planned from the beginning of the application to appropriately combine the configurations described in each embodiment. In addition, the same reference numerals are attached to the same or corresponding parts in the drawings, and the description thereof will not be repeated.

<First embodiment>
FIG. 1 is a diagram showing the hardware configuration of a construction management system 1 according to the first embodiment. The construction management system 1 is a system that manages the construction of a construction project consisting of a plurality of steps. A plurality of persons in charge (also referred to as "workers") are in charge of these plurality of steps.

For example, the example of FIG. 5, which will be described later, shows a process chart showing a plurality of steps in new air conditioning equipment construction work to install new air conditioning equipment in Building X. In this example, companies A to F (persons in charge of companies A to F) are in charge of each process.

Here, from April 1st to April 2nd, the person in charge (worker) from Company A is in charge of the work (process) of bringing in equipment to the second floor. Finally, from April 23rd to 24th, personnel from Company F were in charge of trial runs on the 2nd and 3rd floors, and once these tasks are completed, the main construction work will be completed. .

Here, "person in charge" may refer to each person in charge of the companies (Companies A to F) that undertake each process as described above, or may refer to each person in charge of the companies that undertake each process (Companies A to F). It may also indicate the company itself. The number of persons in charge (workers) in charge of one process may be one or more.

Returning to FIG. 1, the construction management system 1 includes a server 100 and a plurality of terminals 200. The server 100 performs processes such as generating a process chart. The plurality of terminals 200 are composed of a terminal used by a construction manager (also simply referred to as a "manager") who manages construction, and a plurality of terminals used by a plurality of persons in charge of a plurality of construction steps. Ru.

The construction manager manages the site so that the construction work is completed by the deadline, while keeping track of the workload of each person in charge of each step of the construction work and the progress of each work. In the example of FIG. 1, a terminal 200 used by a construction manager, a terminal 200 used by worker K1, and a terminal 200 used by worker K2 are shown.

The construction management system 1 is configured to be connectable to the schedule management system 400. The schedule management system 400 is a system that manages the schedules of a plurality of people in charge.

Each person in charge accesses the schedule management system 400 from the terminal 200 that he/she uses, and manages his/her own schedule using the schedule management software provided by the schedule management system 400. The schedule management software may be used by starting software installed on the terminal 200 in advance, or may be used via a browser started on the terminal 200.

Each person in charge specifies the date and time and registers their own schedule in the schedule management system 400 using schedule management software. Users who are permitted to view (for example, users within the company) can access the schedule management system 400 and view the registered schedules.

In this embodiment, the server 100 is configured to be able to access the schedule management system 400 and obtain registered schedules. The schedule information includes schedules unrelated to the construction work managed by the construction manager.

In the example of FIG. 5, it is assumed that the companies (Companies A to F) that are constructing new air conditioning equipment in building X manage their schedules using the schedule management system 400. The server 100 can access the schedule management system 400 and obtain the schedules registered by the workers (persons in charge) of companies A to F.

This schedule includes schedules unrelated to the construction of new air conditioning equipment in Building X. For example, it may be construction schedule information for Building Y, which is different from Building X, or it may be a schedule for an internal meeting, or it may be any schedule.

Further, companies A to F are not limited to using the same schedule management system (schedule management system 400), but each company may use a different schedule management system. In this case, it is assumed that the server 100 can access these multiple schedule management systems and acquire schedule information.

Returning to FIG. 1, the server 100 includes a control section 111, a storage section 112, and a communication section 113. These are communicably connected to each other via a bus.

The control unit 111 is, for example, a CPU (Central Processing Unit). The storage unit 112 includes a ROM (Read Only Memory), a RAM (Random Access Memory), and a nonvolatile storage device (for example, a HDD (Hard Disk Drive) or an SSD (Solid State Drive)). The storage unit 112 stores a learning data set 160, a learned model 163, a learning data set 170, and a learned model 173, which will be described later.

The control unit 111 loads programs stored in the ROM into the RAM and executes them to realize various functions of the server 100. The control unit 111 performs processing such as generating a work schedule. The ROM stores a program in which processing procedures of the server 100 are written. The RAM serves as a work area when the control unit 111 executes a program, and temporarily stores programs and data used when executing the program. The server 100 can be connected to the terminal 200 and the schedule management system 400 wirelessly or by wire via the communication unit 113.

The terminal 200 may be, for example, a mobile terminal such as a smartphone or a tablet, or a personal computer such as a notebook computer or a desktop computer.

The terminal 200 includes a control unit (CPU) 211, a storage unit 212, a communication unit 213, an input unit 220, and a display unit 221. These are communicably connected to each other via a bus. Similarly, the storage unit 212 may be configured to include a ROM, a RAM, and a nonvolatile storage device such as an HDD or an SSD.

The control unit 211 loads programs stored in the ROM into the RAM and executes them to realize various functions of the terminal 200. The ROM stores a program in which processing procedures for the terminal 200 are written. The terminal 200 is connectable to the server 100 and the schedule management system 400 via the communication unit 213.

The input unit 220 receives input from the user. The input unit 220 is, for example, a touch panel, but may also be a keyboard or a mouse. The display unit 221 displays various information. The display unit 221 is, for example, a liquid crystal display or a display. The display unit 221 can display the process chart generated by the control unit 111. Note that the process chart may be configured to be viewable only on the terminal 200 used by the administrator, or may be configured to be viewable on the terminal 200 used by each worker.

Note that the construction management system 1 may be a device that integrates a server 100 and a terminal 200 used by an administrator. In this case, the display unit (display) included in the apparatus is configured to display the process chart generated by the control unit (CPU) included in the apparatus. Moreover, the construction management system 1 may be configured to include the schedule management system 400, or may be configured to include only the server 100 and the terminal 200 used by the administrator.

FIG. 2 is a diagram showing a functional block diagram of the construction management system 1. The control unit 111 of the server 100 can execute the processing executed by the second estimation unit 121 and the generation unit 123.

The second estimation unit 121 acquires schedule information of a plurality of people in charge of construction from the schedule management system 400. The second estimation unit 121 acquires second input information, which will be described later, from the storage unit 112.

The second estimation unit 121 determines the load state indicating the workload of the plurality of persons in charge based on the schedule information of the plurality of persons in charge and the second input information. The load state includes a high load state. A "high load state" is a state in which work delays are expected in the target process. The second input information is information necessary to determine the load state. The second input information and the process of determining the load state will be explained in detail using FIGS. 10 and 12.

The generation unit 123 acquires process information, which will be described later, from the storage unit 112. The generation unit 123 generates display information including a process chart based on process information, load status, and the like. The display unit 221 of the terminal 200 displays display information including the generated process chart.

A detailed explanation will be given below using a flowchart. FIG. 3 is a flowchart of main processing. The processing shown in this flowchart may be activated based on a display request from the terminal 200, for example.

When the main process starts, the server 100 acquires schedule information from the schedule management system 400 in S101. The server 100 acquires the second input information from the storage unit 112 in S102. In S103, the server 100 inputs the schedule information and the second input information to the learned model 163 (FIG. 10), and acquires the load state output from the learned model 163.

The server 100 acquires process information from the storage unit 112 in S104. The process information is various information set regarding multiple processes in the target construction. For example, in the example shown in Figure 5, the construction name (new construction of air conditioning equipment in building This is the information necessary to generate a process chart, such as 1 day to 2 days).

In S105, the server 100 executes display information generation processing (FIG. 4) to generate display information (work schedule, etc.). In S106, the server 100 outputs display information (work schedule, etc.) to the display unit 221, and ends the main processing.

Specifically, main processing is executed in response to a display request from the terminal 200, and display information generated as a result is acquired by the terminal 200 via the communication unit 213 and displayed on the display unit 221. Examples of the process chart displayed on the display unit 221 are shown in FIGS. 5 and 6. Hereinafter, the flowchart of the display information generation process will be explained using FIG. 4, and the process charts shown in FIGS. 5 and 6 will be explained.

FIG. 4 is a flowchart of display information generation processing. When the display information generation process starts, the server 100 acquires schedule information, load information, process information, etc. in S201. A process chart is generated based on this information.

FIG. 5 is a diagram showing an example of a process chart. As shown in FIG. 5, the construction name is displayed at the top of the process chart 91 (hereinafter also simply referred to as "process chart"). In this example, it is shown that construction is being carried out to install new air conditioning equipment in building X. In this embodiment, the process chart is a bar chart process chart that displays a plurality of bar charts corresponding to a plurality of processes.

In this example, the process chart for the period from April 1st to April 24th, 2022 is shown as a bar chart. In the process chart, a vertical line indicating that today is April 9, 2022 is displayed.

The process chart shows the item name, company name, progress rate, and bar chart for each process. The item name column shows the work name (work type) of each process. The company name column shows the name of the company in charge of the work. The progress rate column shows the progress rate of the work as a percentage.

In the construction of new air conditioning equipment in Building X, there are multiple steps: Company A is in charge of equipment delivery work on the second floor, Company B is in charge of equipment installation work on the second floor, Company C is in charge of piping work on the second floor, Displayed are wiring work on the second floor handled by Company D, insulation work on the second floor handled by Company E, and test run on the second floor handled by Company F.

Furthermore, in the construction of new air conditioning equipment in Building X, there are multiple steps: Company A is in charge of equipment delivery work on the 3rd floor, Company B is in charge of equipment installation work on the 3rd floor, and Company C is in charge of piping on the 3rd floor. Displayed are construction work, wiring work on the third floor handled by Company D, insulation work on the third floor handled by Company E, and test run on the third floor handled by Company F.

According to this schedule, equipment on the second floor (Company A), installation on the second floor (Company B), and equipment on the third floor (Company A) are scheduled to be brought in from April 1st to April 2nd. There is. Next, from April 3rd to April 8th (in this embodiment, work will not be carried out on Saturdays and Sundays), the plumbing work on the second floor (Company C) will be carried out, and from April 3rd to April 4th, the plumbing work will be carried out on the third floor. Equipment installation (Company B) is planned. Today is April 9th, and all of the above steps have been completed as planned, so the bar chart is displayed in "blue" to indicate completed work. Further, the progress rate of these tasks is displayed as "100%".

Returning to FIG. 4, in S202, the server 100 extracts the first step and the second step from the step information. In this embodiment, the plurality of steps include a first step and a second step that is a step after the first step. The second process is a process that is affected by the delay if the work in the first process is delayed. These relationships are set in advance as process information.

In S203, the server 100 generates an image that connects the bar chart corresponding to the first step and the bar chart corresponding to the second step. As a result, when displaying the process chart on the display unit 221, an image connecting the first bar chart corresponding to the first process and the second bar chart corresponding to the second process is displayed. By doing so, when a delay occurs in a certain process (first process), it is possible to intuitively understand which process (second process) is affected by the delay.

In the example in Figure 5, Company B is in charge of equipment installation on the second floor from April 1st to April 2nd, and equipment installation on the third floor from April 3rd to April 4th. , it is necessary to install the equipment on the third floor the day after the equipment installation on the second floor is completed.

If the second floor equipment installation (first process) is delayed, the third floor equipment installation (second process) may not be able to begin, and the third floor equipment installation may also be delayed. In this way, if a certain process (first process) is delayed and there is a possibility that the next process (second process) will be affected, a line is drawn between these two processes as "related work". (here, an image of an arrow pointing from the first step to the second step) is displayed.

Furthermore, after completing the piping work on the second floor from April 3rd to April 8th, Company C is scheduled to carry out piping work on the third floor from April 9th to April 12th. In this case as well, if the piping work on the second floor is delayed, there is a possibility that the piping work on the third floor cannot be started. In this case, these two steps are also shown to be "related operations."

On the other hand, even if the equipment installation work on the second floor (Company B) is delayed, the plumbing work on the second floor (Company C) can be started on April 3rd as scheduled. Therefore, these two processes are not set as "related works".

Next, from April 9th to April 10th, wiring work on the second floor (Company D), insulation work on the second floor (Company E) from April 11th to April 16th, and from April 17th to April 10th. Thermal insulation work (Company E) is scheduled for the 3rd floor on the 22nd. During this construction work, insulation work on the second floor cannot begin until the wiring work on the second floor is completed. For this reason, these steps are also shown to be "related work." Furthermore, since Company E needs to start insulation work on the third floor the day after the insulation work on the second floor is completed, these processes are also shown to be "related work."

In addition, Company D will conduct wiring work on the third floor from April 15th to April 16th after wiring work on the second floor from April 9th to April 10th. In this example, it is determined that there is a two-day margin between the two processes, which may affect the next process, so these processes are also shown to be "related work." Finally, a trial run by Company F is scheduled for April 23rd to April 24th on the second and third floors.

Returning to FIG. 4, in S204, the server 100 sets the bar chart image corresponding to the process in the high load state to red. At this time, the entire bar chart image may be displayed in red, or only the period (day) in a high load state may be displayed in red. In S205, the server 100 sets the bar chart corresponding to the second process to pink when the load state of the first process is a high load state.

The display unit 221 displays the first bar chart in a first mode (red) when the load state of the first process is a high load state, which is different from when the load state of the first process is not a high load state. is displayed. By doing so, the construction manager can intuitively grasp the load status of the person in charge.

Then, when the load state of the first step is a high load state, the display unit 221 displays the first bar chart in the first mode (red) and displays the second bar chart in the second mode. It is displayed in pink color. By doing so, the construction manager can intuitively grasp which processes are likely to be delayed due to high load conditions and which processes are likely to be delayed due to the influence of these processes. This makes it possible to quickly review the schedules of these processes and consider load adjustments.

In the example of FIG. 5, it is assumed that the load state is determined to be a high load state during the wiring work on the second floor (first step) on April 10th. In this case, the bar chart for the second floor wiring work (first process) on April 10th is displayed in red. Note that the entire bar chart of this step may be displayed in red. Then, the bar chart for the insulation work on the second floor (second process) and the bar chart for the wiring work on the third floor (second process), which are set to be "related work" to this process, are highlighted in pink. Display in color.

Also, assume that the load state is determined to be high during the insulation work on the second floor on April 15th. In this case, the bar chart for the insulation work on the second floor on April 15th is displayed in red. Note that the entire bar chart for the insulation work on the second floor may be displayed in red. Then, a bar chart of the third floor insulation work, which is set as "work related" to this process, is displayed in pink.

As a general rule, processes that are being performed or scheduled to be performed today (April 9th) are displayed as "scheduled work" on the bar chart in light blue. The wiring work on the second floor is currently being carried out (progress rate is 50%), so it is displayed in light blue. However, when displayed in red or pink as described above, display in these colors takes priority. Additionally, the plumbing work on the third floor is currently being carried out (progress rate is 25%), so it is displayed in light blue. Processes scheduled after April 10th have not yet been started, so that fact is displayed in the progress rate column. The bar chart for the second and third floor test runs scheduled for April 23rd to April 24th is displayed in light blue.

Returning to FIG. 4, in S206, the server 100 associates schedule information of the person in charge with each bar chart. The server 100 generates display information (work schedule, etc.) in S207, and ends the display information generation process. In the example of FIG. 5, a process chart 91 is displayed on the display section 221 as display information.

Next, an example of displaying schedule information (see S206) of the person in charge associated with each bar chart will be described using FIG. 6. The schedule information can be switched between display and non-display according to the user's specifications, and FIG. 5 shows an example in which the schedule information is set to be hidden, and FIG. 6 shows an example in which the schedule information is set to be displayed. .

FIG. 6 is a diagram showing an example of a process chart. As mentioned above, Company D will carry out wiring work on the second floor from April 9th to April 10th. For example, the schedule for April 10th of the person in charge of Company D doing the wiring work on the second floor (in this example, one person is working alone) is ``8:00-17:00 X building wiring "Construction", "18:00-20:00 Y Building Estimate Creation", and "20:00-22:00 Z Building Drawing Creation" are registered.

The display unit 221 displays schedule information in association with bar charts corresponding to the processes each of the plurality of persons in charge is responsible for. In this example, the above schedule information is displayed in association with a bar chart corresponding to the wiring work on the second floor. At this time, the schedule information is displayed in correspondence with the area of April 10th on the bar chart so that it can be seen that the schedule is for April 10th. Note that at this time, the name of the person in charge may also be displayed.

This allows the construction manager to understand the load status of the person in charge at a glance. After completing the wiring work on the second floor of the main building (Building It is necessary to prepare estimates and drawings for Building Y and Building Z.

In this way, in addition to working on Building X, the person in charge at Company D needs to work until 10pm on April 10th. If the work at Building X is delayed, work on Buildings Y and Z is scheduled to start from 6:00 pm, so the end time of the work at Building X cannot be extended, and the work will be carried over to the next day. There is a possibility that the work will be delayed (work will be delayed).

In such a case, on April 10th, it was determined that the load state of the wiring work on the second floor would be a high load state, and the bar chart was displayed in red. Furthermore, as explained in FIG. 5, the bar chart of processes that may be affected is displayed in pink. Although not shown in the example of FIG. 6, schedule information is displayed in association with other processes as well. Details of the determination of whether or not a high load state will occur will be described later using FIGS. 10 to 12.

In this way, the display unit 221 displays the load status in association with the process that each of the plurality of persons in charge is in charge of. In addition, the display unit 221 can also display schedule information in association with the processes each of the plurality of persons in charge is in charge of.

By doing this, the construction manager can check the load status of the person in charge without having to interview the person in charge, check the daily work report that records the daily work contents, or check the site situation. Can be grasped accurately and intuitively. Furthermore, the schedule information includes schedules that are unrelated to the target construction work. In this example, it is possible to grasp the load situation including schedules for Building Y and Building Z other than Building X managed by the construction manager. Information about other construction projects may come up in small talk, but it is usually difficult to grasp. In this embodiment, even such information is displayed on the process chart and can also be used for determining the load state. The construction manager can store such load status and schedule information in one place without having to create separate materials or reconstruct the information in his or her head, or without having to switch screens or systems. It can be easily understood on the screen. Furthermore, based on this information, it will be possible to estimate the impact on the entire process from information that was previously impossible to grasp, such as whether or not work time can be extended, and the impact of a high-load process on subsequent processes. . As a result, the construction manager can take measures to ensure that all work is completed safely and by the deadline while maintaining the quality of the work. This allows even an inexperienced construction manager to efficiently manage construction.

<Second embodiment>
FIG. 7 is a diagram showing the hardware configuration of the construction management system 1 according to the second embodiment. In the first embodiment, the control unit 111 is configured to be able to execute the processes executed by the second estimation unit 121 and the generation unit 123. In the second embodiment, the control unit 111 is further capable of executing the processing executed by the first estimation unit 122 and the notification unit 124. Hereinafter, descriptions of parts common to the first embodiment may be omitted.

The second estimation unit 121 acquires schedule information from the schedule management system 400. The second estimation unit 121 acquires second input information from the storage unit 112. The second estimation unit 121 determines the load state based on the second input information and schedule information.

When the load state of the first process is high, the notification unit 124 notifies the manager who manages the construction, the person in charge of the first process, and the person in charge of the second process to Notify information including status. Such notification may be performed, for example, by sending an email to the email address of the administrator and the person in charge who have been registered in advance. By doing so, it is possible to quickly grasp the status of construction delays, and it is also possible to smoothly prepare for coordination between the parties involved to eliminate the delay.

The first estimation unit 122 acquires first input information, which will be described later, from the storage unit 112. The first estimation unit 122 determines countermeasure information, which will be described later, based on the load state and the first input information. The countermeasure information is information on a plurality of countermeasure plans indicating what countermeasures should be taken (extension of work period, increase in personnel, etc.) when a high load state occurs.

The generation unit 123 acquires process information, which will be described later, from the storage unit 112. The generation unit 123 generates a process chart based on process information, countermeasure information, and load status. The display unit 221 of the terminal 200 displays the generated process chart.

A detailed explanation will be given below using a flowchart. FIG. 8 is a flowchart of the main processing. The processing shown in this flowchart may be activated based on a request from the terminal 200.

When the main process starts, the server 100 acquires schedule information from the schedule management system 400 in S301. The server 100 acquires the second input information from the storage unit 112 in S302. In S303, the server 100 inputs the schedule information and the second input information to the learned model 163, and acquires the load state output from the learned model 163.

The server 100 acquires the first input information from the storage unit 112 in S304. In S305, the server 100 inputs the load state and the first input information to the learned model 173, and acquires countermeasure information output from the learned model 173.

The server 100 acquires process information from the storage unit 112 in S306. In S307, the server 100 executes display information generation processing and generates display information (work schedule, etc.).

In S308, the server 100 associates countermeasure information with display information. FIG. 9 is a diagram showing an example of a process chart. The process chart 93 in FIG. 9 displays associated countermeasure information.

In the example of FIG. 9, the load state is high during the wiring work on the second floor (first step). In addition, heat insulation work on the second floor and heat insulation work on the third floor are set as the second process.

As mentioned above, the schedule for April 10th of the person in charge of Company D, who will be conducting wiring work on the second floor, is "8:00-17:00 Wiring work in Building X" and "18:00-20:00 Building Y" ``Create quotation'' and ``20:00-22:00 Z building drawing creation'' are displayed.

In this example, countermeasure information is displayed that is associated with the wiring work on the second floor that is under high load. Specifically, as the countermeasure information, "Countermeasure Plan 1" is "Extend the schedule of Company D" and "Increase in the number of personnel at Company E," and "Countermeasure Plan 2" is "Increase in the number of personnel at Company D."

In plan 1, it is estimated that due to the tight schedule of the person in charge at Company D, it will not be possible to complete the wiring work on the second floor by April 10 as planned. Also, during this period, Company D does not have enough personnel. For this reason, we are recommending that Company D's schedule be extended beyond April 11th, which will delay Company E's start of insulation work on the second floor. Also, during this period, Company E has plenty of personnel. Therefore, in Countermeasure Plan 1, the number of people working on the second floor insulation work at Company E is increased in order to complete the second floor insulation work as scheduled.

Measure plan 2 assumes a case where it is not possible to increase the number of workers working on the insulation work on the second floor of Company E. In this case, Company D must complete the wiring work on the second floor by April 10 as scheduled. For this reason, the second plan for countermeasures is to recommend an increase in the number of employees at Company D.

The construction manager will coordinate the work with Company D and Company E based on the above countermeasure information. Then, as a result of the adjustment, it is determined which of countermeasure plan 1 and countermeasure plan 2 to adopt.

Returning to FIG. 8, the server 100 outputs display information (process chart, etc.) to the display unit 221 in S309. As a result, a process chart 93 as shown in FIG. 9 is displayed on the display section 221.

In S310, the notification unit 124 of the server 100 notifies the administrator, the process in the high load state (the first process), and the related process (the second process) when the load state of the first process is the high load state. The person in charge of the process) is notified of the load status, and the main process ends.

In the above example, the administrator, the person in charge of the wiring work on the second floor (Company D), which is under high load, the person in charge of the insulation work on the second floor (Company E), which is a related process, and the person in charge of the wiring work on the third floor. The person in charge of construction (Company D) will be notified of this. This makes it possible to quickly grasp the status of construction delays and smoothly prepare for coordination between the parties involved to eliminate delays.

In this embodiment, a learned model that has been subjected to machine learning is used to determine whether or not the load is high and to determine countermeasure information (multiple countermeasure plans) when the load is high. It will be done. Note that these are not limited to those that are determined or judged using a trained model, but may be determined or judged using other estimation models, or determined or judged based on some kind of rules. Good too. The learning process performed in this embodiment will be described below with reference to FIGS. 10 to 12.

FIG. 10 is a diagram for explaining the learning data set 160. There is a certain correlation between the above schedule information and second input information (input data) and the load state (output data).

Therefore, in this embodiment, the "load state" is determined using AI (Artificial Intelligence). For example, a learned model that infers output Y from input X is generated based on learning data consisting of a combination of input data and output data. For example, learning can be performed using supervised learning using a neural network. As a learning algorithm used for model generation, deep learning, which learns how to extract the feature amount itself, can also be used.

In this embodiment, the storage unit 112 stores a learning data set 160 and a learned model 163. The control unit 111 inputs the schedule information and the second input information to the second learned model (learned model 163), and outputs the load state and the like as an estimation result from the learned model 163.

The learned model 163 is a model that has been subjected to machine learning processing using teacher data so that when the schedule information and the second input information are input, the load state and the like are output as estimation results. The second input information includes information indicating the schedule priority of each of the plurality of persons in charge, information on the company to which each of the plurality of persons in charge belongs, and information on each of the plurality of processes.

Specifically, the learning process is performed using the above-mentioned input/output data set (learning data set 160). Then, using the obtained trained model, an estimation process is performed in which the schedule information and the second input information are input data, and the load state and the like are output data (estimated results). A set of input/output data is accumulated on a daily basis in the storage unit 112 of the server 100 as historical information on past construction work.

The above "input data" and "output data" are as shown in FIG. As shown in FIG. 10, input data 161 includes schedule information and second input information. Output data 162 includes the load status and adjustment results.

As the learning data set 160, a combination of input data 161 and output data 162 is prepared. Here, the output data 162 becomes the correct data. Examples of combinations of input data 161 and output data 162 will be described below.

For example, the input data includes schedule priority, company information (company in charge, etc.), process information (work content, implementation period, schedule information of the person in charge during the implementation period, implementation timing, etc.), and the output data includes adjustments. Results (additional personnel, extended work days), load status, etc. The schedule priority is the priority of each schedule registered by the person in charge (high, medium, or low can be set), and this priority can be set in advance in the schedule management system 400.

For example, the schedule priority is "Work A: High Priority", the company in charge is "Company D", the work content is "Wiring work", the implementation period is "March 1st", and the schedule information of the person in charge during the implementation period is "March 1st". Sunday: 8:00 to 17:00 Wiring work, 18:00 to 22:00 Work A", implementation time "March", output data is "0 additional personnel", number of work extension days "1 day", load status "High load "state". Note that if there are multiple people in charge of the construction work, schedule information for the multiple people is acquired.

In the above, during the wiring work implementation period, the person in charge of company D is scheduled to perform high priority work A after wiring work from 8:00 to 17:00. In this case, even if the wiring work is unexpectedly delayed, the scheduled work A cannot be completed on the same day because the scheduled priority work A must be performed afterwards. As a result, it is assumed that the wiring work is prolonged until the next day, and the number of extended work days is "1 day". Also, suppose that March is a busy season for Company D, so it is not possible to hire additional personnel.

Here, in this embodiment, the data administrator shall set the load state to "high load state" or "normal state" after confirming the above input/output data. For example, the load state may be set to "high load state" when work with a high priority other than the target construction work is registered in the schedule for a predetermined time (predetermined ratio) or more. Furthermore, information other than the schedule may also be taken into consideration. For example, if there is one or more additional personnel, or if there is one or more days of work extension, the load state may be set to "high load state" regardless of the schedule registration status. Further, the load state may be automatically set using the above rules.

As another example, the schedule priority "Work B: Low priority", the work content "thermal insulation work", the implementation period "February 3rd", the company in charge "Company E", the schedule information of the person in charge during the implementation period " February 3rd: 8:00 to 17:00 Heat insulation work, 18:00 to 22:00 Work B", implementation time is "February", output data is "0 additional personnel", number of work extension days "0 days", load status Assume that it is in a "normal state".

In the above, during the period for carrying out the insulation work, the person in charge of Company E is scheduled to perform work B, which has a low priority, after the insulation work from 8:00 to 17:00. In this case, even if the heat insulation work is unexpectedly delayed, the heat insulation work can be completed on the same day by moving work B, which has a lower priority, to the next day. Furthermore, since February is not a busy season for Company E, additional personnel can be added if the work is likely to be delayed.

As explained above, if many high-priority tasks are registered in the schedule of the person in charge, the workload will be high, and there is a high possibility that work will be delayed or additional personnel will be added. In this way, there is a certain correlation between the schedule of the person in charge and the load status. Furthermore, depending on the specific company (for example, a small company), the specific type of process (process where equipment troubles are likely to occur), or the implementation period (for example, during a busy season), work delays may occur (high load conditions). likely to occur). Therefore, it can be said that there is a certain correlation between this information and the load state.

From the above, when learning processing is performed using the above-mentioned input/output data set, the load state can be estimated with high accuracy by using the obtained learned model. The construction manager can make adjustments such as adjusting schedules and adding personnel for processes that are under high load, so that the construction can be completed by the deadline. In this way, even a construction manager with little experience can manage construction efficiently.

FIG. 11 is a diagram for explaining the learning data set. There is a certain correlation between the above-mentioned load state and first input information (input data) and countermeasure information (output data).

In this embodiment, the storage unit 112 stores a learning data set 170 and a learned model 173. The control unit 111 outputs countermeasure information from the learned model 173 as an estimation result by inputting the load state and the first input information to the first learned model (learned model 173). The learned model 173 is a model that has been subjected to machine learning processing using teacher data so that countermeasure information is output as an estimation result when the load state and first input information are input.

The first input information includes information on the company to which each of the plurality of persons in charge belongs, and information on each of the plurality of processes. The countermeasure information is information indicating a countermeasure method for the first process and the second process when a high load state occurs.

Countermeasures include a method of extending the working period of either or both of the first process and the second process, and a method of increasing the number of workers in either or both of the first process and the second process. including.

Specifically, learning processing is performed using the above-mentioned input/output data set. Then, using the obtained trained model, an estimation process is performed in which the load state and the first input information are input data, and the countermeasure information is output data (estimation result).

In the example shown in Figure 9 above, "Measure plan 1" is a countermeasure for wiring work on the second floor (first process), which is under high load. ``extension'' and ``increase in personnel at Company E (second process),'' and ``Countermeasure 2'' is ``increase in personnel at Company D (first process).''

The above "input data" and "output data" are as shown in FIG. 11. As shown in FIG. 11, the input data 171 includes the load state and first input information. The output data 172 includes countermeasure information.

A combination of input data 171 and output data 172 is prepared as a learning data set 170. Here, the output data 172 becomes the correct data. Examples of combinations of input data 171 and output data 172 will be described below.

For example, the input data is the company in charge of the first process, the load condition, the work content, the implementation time, the company in charge of the second process, the work content, and the implementation time, and the output data is countermeasure information.

For example, in the first process, the company in charge is "Company D", the load state is "high load state", the work content is "wiring work", the implementation period is "March", in the second process, the company in charge is "Company E", The work content is "thermal insulation work" and the implementation period is "March", and the output data includes countermeasure information such as an extension of the first process "1 day", an increase in the number of people for the first process "0 people", and the second process Assume that the extension of the process was ``0 days'' and the number of people added to the second process was ``1 person.''

In the above, assume that Company D is unable to increase its staff because March is a busy season, and Company E was able to increase its staff because March is not a busy season. As a result, Company D, which has a heavy workload, has to extend its work by one day, and Company E, which has extra personnel, increases its staff and completes the insulation work in one day shorter than planned. Alternatively, if Company D has a small number of employees, it will be difficult to increase the number of employees, whereas if Company E has a large number of employees, it will be easier to increase the number of employees. In this way, there is a certain correlation between the company in charge, the implementation period, and the countermeasure method. In addition, there are some processes where only one person can work on the process and therefore it is not possible to increase the number of workers, so it can be said that there is a certain correlation between the type of process and the countermeasure method.

In such a situation where the load is high and adjustments are required, input data and output data can be used to determine whether to increase the number of people in the first process or the second process, or to extend or shorten the period. There is a certain correlation. When outputting countermeasures using the trained model 173, one countermeasure may be output, or multiple countermeasures may be output in descending order of probability, such as countermeasure 1, countermeasure 2, etc. You may also do so.

From the above, when learning processing is performed using the input/output data set described above, the optimal countermeasure can be determined by using the obtained learned model. The construction manager can make adjustments such as adjusting schedules and adding personnel for processes that are under high load, so that the construction can be completed by the deadline. In this way, even a construction manager with little experience can manage construction efficiently.

In particular, the more input/output data sets are accumulated, the more the AI learns, the more appropriate countermeasures can be presented, and work delays can be more accurately predicted. In addition, in view of the continuing decline in the working population in the construction industry, there is a need to quickly train construction managers who can make decisions such as increasing or replacing workers and reviewing processes. By utilizing the method according to this embodiment, it is also possible to quickly train construction managers at a certain level.

FIG. 12 is a flowchart of the learning process. Hereinafter, the "step" will also be simply referred to as "S". Here, processing for learning the trained model 163 will be described. As shown in FIG. 12, when the learning process starts, the server 100 selects learning data from the learning data set 160 in S401, and advances the process to S402.

In S402, the server 100 inputs the selected learning data to the estimation model, and advances the process to S403. In S403, the server 100 executes the estimation process, outputs the estimation result, and advances the process to S404. In S404, the server 100 updates the parameters of the estimation model based on the error between the estimation result and the correct data corresponding to the learning data, and advances the process to S405.

In S405, the server 100 determines whether learning has been performed based on all learning data. If the server 100 determines that learning has been performed based on all the learning data (YES in S405), the process proceeds to S406. If the server 100 does not determine that learning has been performed based on all the learning data (NO in S405), the process returns to S401. In S406, the server 100 stores the learned estimation model as the learned model 163, and ends the learning process.

The learning process for the learned model 173 is also performed using the learning data set 170 in the same manner as above.

[Modified example]
In the first embodiment, the process chart shown in FIGS. 5 and 6 is displayed, and in the second embodiment, the process chart shown in FIG. 9 is displayed. However, the present invention is not limited to this, and a process chart as described below may be displayed.

FIG. 13 is a flowchart of route display processing according to a modification. FIG. 14 is a diagram showing an example of a process chart according to a modification. The process chart in FIG. 14 is illustrated more simply than the process chart described using FIGS. 5 and 6.

As shown in FIG. 13, when the route display process starts, the server 100 classifies the route from the start of the construction work to the end of the work into a plurality of routes in S501.

In the example of FIG. 14, a bar chart of multiple companies (multiple people in charge) in charge of construction work and the processes each person in charge is in charge of is shown. In FIG. 14, when there is a process that can be started on the condition that a certain process is completed, the former process and the latter process are connected by a line and displayed.

In this example, after Company A's process is completed, Company C's process can start. After Company B's process is completed, Company C's process can begin. After Company C's process is completed, Company F's process can begin. After Company F's process is completed, Company G's process can begin.

Furthermore, after Company D's process is completed, Company E's process can start. After Company E's process is completed, Company F's process can begin.

In this way, the order of the processes is as follows: a route that follows Company A, Company C, Company F, and Company G (referred to as "route 1"), and a route that follows Company B, Company C, Company F, and Company G in that order (referred to as "route 1"). (referred to as "Route 2"), followed by a route (referred to as "Route 3") in which Company D, Company E, Company F, and Company G proceed in this order.

Returning to FIG. 13, in S502, the server 100 selects the route with the maximum number of required days from the number of required days for each route.

Route 1 is the route that takes the maximum number of days from the start to the end of the construction work. For example, if Company A's process on Route 1 is delayed, Company C's process that starts immediately thereafter will be delayed. On the other hand, in the case of route 2, even if there is a delay in Company B's process, there is plenty of time before Company C's process starts next, so the delay is less likely to occur.

Furthermore, if Company C's process on route 1 is delayed, Company F's process that starts immediately thereafter will be delayed. On the other hand, in the case of route 3, even if there is a delay in Company E's process, there is plenty of time before Company F's process starts next, so the delay is less likely to occur.

In this way, it can be said that delays are likely to occur on route 1, where the number of days required from the start to the end of construction is the largest.

Returning to FIG. 13, in S503, the server 100 changes the color and size of the bar chart included in the route with the maximum number of required days, and ends the route display process. In this modification, among a plurality of routes in a plurality of processes, the route that takes the maximum number of days from the start to the end of the construction work is displayed in a different manner from the other routes.

Specifically, the bar chart for each process in route 1, which takes the maximum number of days from the start to the end of construction, is displayed as a red image with a large vertical width, and the line connecting these processes is displayed. Displayed as a solid line. A bar chart for each process of routes 2 and 3 is displayed as a white image with a vertical width smaller than that of route 1, and a line connecting these processes is displayed as a broken line. However, even in the bar charts for routes 2 and 3, those included in route 1 are displayed using the display method according to route 1 (a red image with a large vertical width). By doing this, it is easy to intuitively understand routes that are likely to be affected by delays, and it is possible to draw attention to such routes.

This modification is applicable to the first embodiment or the second embodiment. In the example shown in FIG. 14, the process of company A in the first route corresponds to the first process, and the process of company C corresponds to the second process. The process of Company C in the first route corresponds to the first process, and the process of Company F corresponds to the second process. The process of Company F in the first route corresponds to the first process, and the process of Company G corresponds to the second process.

In the present embodiment and the modified examples, an example in which a bar chart process chart is applied as the process chart has been exemplified and explained, but the present invention is not limited to this, and any process chart may be applied. For example, the schedule may be a network schedule. In this case, schedule information may be displayed in association with each process. Additionally, if a process is under high load, the process (first process) will be displayed in red, and the process that may be affected by this process (second process) will be displayed in pink. It can be displayed in color. Further, the path 1 in the modified example corresponds to a critical path.

It is also planned that the embodiments disclosed herein will be implemented in appropriate combinations within a technically consistent range. The embodiments disclosed this time should be considered to be illustrative in all respects and not restrictive. The technical scope indicated by the present disclosure is indicated by the claims rather than the description of the embodiments described above, and it is intended that all changes within the scope and meanings equivalent to the claims are included. .

1 Construction management system, 91-94 Schedule, 100 Server, 111, 211 Control unit, 112, 212 Storage unit, 113, 213 Communication unit, 121 Second estimation unit, 122 First estimation unit, 123 Generation unit, 124 Notification Section, 161, 171 Input data, 162, 172 Output data, 163, 173 Learned model, 200 Terminal, 220 Input section, 221 Display section, 400 Schedule management system.

Claims (10)

1. A construction management system that manages construction work consisting of multiple processes handled by multiple personnel,
   a control unit that generates a work schedule for the construction;
   and a display section that displays the process chart,
   The control unit determines a load state indicating the workload of the plurality of persons in charge based on information including schedule information of the plurality of persons in charge,
   The display unit is a construction management system that displays the schedule information and the load state in association with a process that each of the plurality of persons in charge is in charge of.
2. The construction management system is configured to be connectable to a schedule management system that manages schedules of the plurality of personnel,
   The control unit acquires the schedule information from the schedule management system,
   The construction management system according to claim 1, wherein the schedule information includes a schedule unrelated to the construction.
3. The process chart is a bar chart process chart that displays a plurality of bar charts corresponding to the plurality of processes,
   The plurality of steps include a first step and a second step that is a step after the first step,
   The second step is a step that is affected by the delay if the work in the first step is delayed,
   3. The display unit displays an image connecting a first bar chart corresponding to the first step and a second bar chart corresponding to the second step. construction management system.
4. The load state includes a high load state in which a delay in work in the first step is expected,
   The display section is
   displaying the schedule information in association with a bar chart corresponding to a process each of the plurality of persons in charge is in charge of;
   When the load state of the first step is the high load state, the first bar chart is displayed in a first manner different from when the load state of the first step is not the high load state. The construction management system according to claim 3, which displays the construction management system.
5. The display section displays the first bar chart in the first mode and displays the second bar chart in the second mode when the load state of the first step is the high load state. 5. The construction management system according to claim 4, wherein the construction management system is displayed in the following manner.
6. When the load state of the first step is the high load state, the control unit includes a manager who manages the construction, a person in charge of the first step, and a person in charge of the second step. The construction management system according to claim 5, wherein the construction management system notifies the person in charge of the load state.
7. Claims 4 to 6, wherein among the plurality of routes in the plurality of steps, the route that takes the maximum number of days from the start to the end of the construction work is displayed in a different manner from the other routes. The construction management system according to any one of the items.
8. The control unit outputs countermeasure information as an estimation result from the first learned model by inputting the load state and the first input information to the first learned model,
   The first trained model is a model that has been subjected to machine learning processing using teacher data so that when the load state and the first input information are input, the countermeasure information is output as the estimation result. and
   The first input information includes information on a company to which each of the plurality of persons in charge belongs, and information on each of the plurality of processes,
   The countermeasure information is information indicating a countermeasure method for the first step and the second step when the high load state occurs,
   The countermeasure methods include a method of extending the work period of either or both of the first step and the second step, and a method of extending the work period of either or both of the first step and the second step. The construction management system according to any one of claims 4 to 7, comprising a method of increasing the number of people.
9. The control unit outputs the load state as an estimation result from the second learned model by inputting the schedule information and second input information to the second learned model,
   The second learned model is a model that has been subjected to machine learning processing using teacher data so that the load state is output as the estimation result when the schedule information and the second input information are input. and
   The second input information includes information indicating the schedule priority of each of the plurality of persons in charge, information on the company to which each of the plurality of persons in charge belongs, and information on each of the plurality of processes. , the construction management system according to any one of claims 1 to 8.
10. A construction management method for managing construction work consisting of multiple processes handled by multiple personnel,
    a step of generating a work schedule for the construction;
    and a step of displaying the process chart,
    The generating step includes determining a load state indicating the workload of the plurality of persons in charge based on information including schedule information of the plurality of persons in charge,
    The construction management method, wherein the displaying step includes displaying the schedule information and the load state in association with a process that each of the plurality of personnel is in charge of.

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