Determination system and determination method

Abstract

To easily determine whether a task has been performed correctly with a correctly calibrated tool.SOLUTION: A determination system includes: a tool determination unit that determines suitability of a tool based on identification information for identifying the tool, a first inspection result when a heavy inspection is made, and a second inspection result when a pre-work inspection is made; a construction result acquisition unit that acquires a construction result performed using the tool; a construction result determination unit that determines suitability of the construction result based on construction standards and the construction result; and a presentation unit that presents the tool determination result and the construction determination result.SELECTED DRAWING: Figure 12

Description

[Technical Field]

[0001] The present invention relates to a determination system and a determination method. [Background technology]

[0002] Conventionally, in the construction of high-voltage transmission lines, construction workers perform work at height. The construction workers themselves determine when the work is complete, and managers cannot check the work status. For this reason, a technology has been disclosed in which the work location is photographed with a camera and the work status is recorded as image information (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-113508 Summary of the Invention [Problem to be solved by the invention]

[0004] However, even if the image information of the work area captured using the above-mentioned technology is wirelessly transmitted to the manager, it is difficult for the manager to judge the appropriateness of the work based on the image information. Furthermore, even if the work area appears to have no problems based on the image information, if the work was performed using an improperly calibrated tool, it cannot be deemed to be acceptable.

[0005] SUMMARY OF THE INVENTION It is therefore an object of the present invention to provide a determination system and a determination method that can easily determine whether work has been performed correctly with a correctly calibrated tool. [Means for solving the problem]

[0006] [1] In order to solve the above problems, one aspect of the present invention is a judgment system including: a tool judgment unit that judges the suitability of a tool based on identification information that identifies the tool, the results of a first inspection during a heavy inspection, and the results of a second inspection during a pre-work inspection; a construction result acquisition unit that acquires the results of construction using the tool; a construction result judgment unit that judges the suitability of the construction results based on construction standards and the construction results; and a presentation unit that presents the tool judgment results and the construction judgment results.

[0007] [2] Furthermore, one aspect of the present invention is that in the judgment system described in [1] above, the frequency with which the second inspection result is obtained is higher than the frequency with which the first inspection result is obtained, and the amount of information contained in the second inspection result is less than the amount of information contained in the first inspection result.

[0008] [3] Furthermore, one aspect of the present invention is that in the judgment system described in [1] or [2] above, the tool has a detection unit that detects an output value, and the first inspection result and the second inspection result are based on the output value detected by the detection unit.

[0009] [4] Furthermore, one aspect of the present invention is a judgment system according to any one of [1] to [3] above, wherein the construction result judgment unit judges the appropriateness of the construction results using a machine learning model that has been trained in advance using images of the state of the construction target after construction and the construction results as training data.

[0010] [5] Furthermore, one aspect of the present invention is that the judgment system described in [1] to [4] above further includes a site supervisor confirmation result acquisition unit that acquires the results of the judgment made by the construction site manager on the suitability of the construction results based on the results presented by the presentation unit.

[0011] [6] Furthermore, one aspect of the present invention is that in the judgment system described in [4] or [5] above, the construction result judgment unit prioritizes the judgment result by the manager of the construction site over the judgment result by the machine learning model.

[0012] [7] Furthermore, one aspect of the present invention is that in the judgment system described in any of [1] to [6] above, the second inspection result is updated when the work plan is updated to a new site.

[0013] [8] Furthermore, one aspect of the present invention is a judgment method having a tool judgment unit that judges the suitability of a tool based on identification information that identifies the tool, the first inspection result during a heavy inspection, and the second inspection result during a pre-work inspection; a construction result acquisition unit that acquires the construction results using the tool; a construction result judgment unit that judges the suitability of the construction results based on construction standards and the construction results; and a presentation unit that presents the tool judgment result and the construction judgment result. [Effects of the Invention]

[0014] According to the present invention, it is possible to provide a determination system and a determination method that can easily determine whether a task has been performed correctly with a correctly calibrated tool. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a block diagram for explaining an overview of a system according to a first embodiment. [Figure 2] FIG. 1 is a diagram for explaining an overview of a construction management system according to a first embodiment. [Figure 3] 3 is a flowchart for explaining a series of processes performed by the construction management system according to the first embodiment. [Figure 4] FIG. 4 is a diagram showing an example of a screen configuration of a display screen of an administrator terminal according to the first embodiment. [Figure 5] 3 is a diagram for explaining an example of information associated with tool information stored in the tool management system according to the first embodiment. FIG. [Figure 6] FIG. 2 is a diagram for explaining a double inspection according to the first embodiment. [Figure 7] FIG. 2 is a diagram for explaining a pre-work inspection according to the first embodiment. [Figure 8]FIG. 3 is a diagram showing an example of a screen configuration of a display screen of a worker terminal according to the first embodiment. [Figure 9] FIG. 2 is a diagram showing an example of training data used in AI learning according to the first embodiment. [Figure 10] FIG. 10 is a diagram showing an example of a case where the determination result according to the first embodiment is negative. [Figure 11] FIG. 2 is a diagram showing an example of an AI analysis result according to the first embodiment. [Figure 12] FIG. 2 is a functional configuration diagram showing an example of the functional configuration of the determination system according to the first embodiment. [Figure 13] 1 is a block diagram showing an example of the internal configuration of a determination system according to a first embodiment. [Figure 14] FIG. 10 is a functional configuration diagram showing a modified example of the functional configuration of the determination system according to the first embodiment. [Figure 15] FIG. 10 is a first diagram showing an example of construction according to the second embodiment. [Figure 16] FIG. 2 is a second diagram showing an example of construction according to the second embodiment. [Figure 17] 10A and 10B are diagrams illustrating an example of a tool inspection method according to a second embodiment. [Figure 18] FIG. 10 is a diagram showing an example of a determination result according to the second embodiment. [Figure 19] FIG. 1 is a diagram showing an example of a tool inspection method according to the prior art. DETAILED DESCRIPTION OF THE INVENTION

[0016] [Embodiment] A preferred embodiment of a determination system and a determination method according to the present invention will be described in detail below with reference to the accompanying drawings. Note that the present invention is not limited to these embodiments and includes various modifications and improvements. In other words, the components described below include those that would be easily conceivable to a person skilled in the art or that are substantially identical, and the components described below can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the present invention. Furthermore, in the drawings, the scale and number of components may differ from the scale and number of the actual structures to make each configuration easier to understand.

[0017] First, the prerequisites for this embodiment will be described. The construction work targeted by the determination system and determination method according to this embodiment includes various construction work performed by workers. Workers perform construction work by using tools. In the first embodiment described below, an example of construction work on a high-voltage power transmission line will be described. In construction work on a high-voltage power transmission line, construction workers work at heights. Note that this embodiment is not limited to this example of construction work on a high-voltage power transmission line, and can be applied to various work using tools.

[0018] FIG. 1 is a block diagram for explaining an overview of a system according to a first embodiment. First, an overview of system 1 according to this embodiment will be explained with reference to the same figure. System 1 includes a construction management system 2 and a tool management system 3. System 1 manages the status of construction work performed at a construction site and the tools used at the construction site in association with each other, thereby managing which tools were used to perform the work. System 1 also manages the status of construction work by managing the construction results and the status of the tools in association with each other.

[0019] The construction management system 2 establishes a local network at the construction site and shares the construction status within the site. The local network may be, for example, a LAN (local area network). The construction management system 2 stores the results of construction carried out at the construction site as work result information 21 in a cloud server (not shown). The work result information 21 includes at least work tool information, which is information about the tools that performed the work. The work tool information includes information that identifies the tools that performed the work, such as the tool model and serial number. In addition to the work tool information, the work result information 21 may also include images of the site where the construction was carried out and photographs of the construction results.

[0020] The tool management system 3 manages the status (maintenance information) of tools used in the construction management system 2. The tool management system 3 collectively manages the status of tools used at multiple construction sites. The tool management system 3 stores the status of tools used in the construction management system 2 as tool information 31 in a cloud server (not shown). The tool management system 3 also provides a tool inspection function. Inspection results obtained by this inspection function are stored in the cloud server as tool information 31 and shared with the construction management system 2. The tool information 31 includes, for example, the last inspection date, inspection items, inspection results, etc.

[0021] According to this embodiment, by storing information about the tools used in construction in the construction management system 2 in association with information about the tool inspection results in the tool management system 3, it becomes possible to associate the tool inspection results with the results of construction using the tools.

[0022] FIG. 2 is a diagram illustrating an overview of the construction management system according to the first embodiment. An overview of the construction management system 2 will be described with reference to the same figure. The construction management system 2 is configured to include a construction management system server 22, a manager vehicle 23, multiple worker vehicles 24, and one or more worker terminals 25 corresponding to the worker vehicles 24. The manager vehicle 23, worker vehicles 24, and worker terminals 25 are used at a construction site. At the construction site, workers perform work at heights. A specific work content may be the work of connecting electric wires using compression sleeves.

[0023] According to conventional technology, information is shared between work sites using wireless communication (voice communication). Voice communication at work sites can lack accuracy, resulting in missed confirmations and unrelated communication. Furthermore, some work sites are located in offline environments, such as mountainous areas, where terrestrial lines are not available, making it impossible to connect to the Internet. For example, even in areas other than mountainous areas, offline environments can exist in tunnel construction, building construction, or underground work sites.

[0024] On the other hand, at a construction site according to this embodiment, a site network is constructed. The site network is a network in which a Wi-Fi mesh network is constructed using network devices, enabling a local network to be handled over a wide area. According to this embodiment, since a site network is constructed, it becomes possible to share information within the site even at a site where public radio waves cannot reach. Each device can freely communicate information within the network. The content of the information communication may be video information or device information.

[0025] The construction management system server 22 acquires information from the manager vehicle 23 and stores the acquired information. The information stored in the construction management system server 22 includes work result information 21. Note that the same figure shows a case where the construction management system 2 manages one construction site. However, this embodiment is not limited to this example, and the construction management system 2 may manage multiple construction sites. In that case, the construction management system server 22 acquires information from the manager vehicle 23 located at each of the multiple construction sites and stores the acquired information.

[0026] The manager vehicle 23 is a vehicle used by the manager of the construction site (e.g., the site foreman) to carry out his / her duties. The manager checks the results of the construction work carried out by each worker. Specifically, the check of the construction results carried out by the manager of the construction site may be a final check of the validity of the construction work. The manager of the construction site transmits the check results to the construction management system server 22. Note that the manager of the construction site does not necessarily need to carry out his / her duties in a vehicle; for example, a manager tablet (not shown) may be used instead of the manager vehicle 23.

[0027] The worker vehicle 24 is a vehicle in which a worker performs work. The worker vehicle 24 may be, for example, a high-altitude work vehicle. One or more workers get into the bucket (or basket) of the worker vehicle 24 while each holding a worker terminal 25, and perform work at a high altitude. After completing work, the workers use the worker terminal 25 to capture an image of the work location (for example, the compression section).

[0028] The worker terminal 25 includes at least an image acquisition means such as a camera, an analysis means for analyzing the acquired images, a presentation means for presenting the analysis results, and a transmission means for transmitting at least one of the images and the analysis results. The analysis means performs analysis using, for example, a pre-trained machine learning model to determine, for example, the number of compressions, overlap compression, bent compression, incorrect die size, and missed compression. The worker terminal 25 may be, for example, a mobile terminal device such as a smartphone or tablet terminal, or a wearable device such as smart glasses or a smart watch. The worker terminal 25 may also be a dedicated terminal designed for the construction management system 2.

[0029] The worker uses the worker terminal 25 to check the analysis results presented based on the results of imaging the work area, and if necessary, performs the work again. When the work is completed, the worker notifies the manager. The notification may include at least one of the images of the work results and the results of analyzing the images.

[0030] 3 is a flowchart for explaining a series of processes performed by the construction management system according to the first embodiment. The series of processes performed by the construction management system 2 will be explained with reference to the same figure.

[0031] (Step S11) First, a pre-work output check is performed by the worker. In the pre-work output check, for example, the worker uses worker terminal 25 to read a two-dimensional code displayed on a tool (pressure gauge), identify the individual tool, and acquire information stored in a memory unit of the tool by short-range wireless communication using a standard such as Bluetooth (registered trademark). Note that the method for acquiring the pre-work output result is not limited to this example, and the pre-work output result may be acquired by physically connecting the tool and worker terminal 25.

[0032] (Step S12) Next, the worker performs work using the tool about which information was acquired in step S11. The tool in question is a tool that has passed the pre-work output check. In other words, the tool in question is a tool that has been certified as having been properly calibrated. The worker, for example, gets into the bucket (or basket) of the worker vehicle 24 and performs work at a height. Specifically, the worker may perform sleeve compression work.

[0033] (Step S13) When the work is completed, the worker takes an image of the work site using worker terminal 25. Worker terminal 25 performs image analysis based on the captured image information and evaluates the appropriateness of the work. Here, worker terminal 25 may evaluate the appropriateness of the work based on the pre-work output check result of the tool acquired in step S11 in addition to the image analysis result.

[0034] (Step S14) After the appropriateness of the construction work has been evaluated, the worker terminal 25 transmits the evaluation result to the manager's terminal device.

[0035] (Step S15) The administrator checks the received evaluation results and makes a final pass / fail decision based on the evaluation results obtained by analysis using the machine learning model and the actual evaluation result images.

[0036] (Step S16) When all work at the work site is completed, the manager transmits the work data to the construction management system server 22. Examples of the transmitted work data include tool information, worker information, work result information, image data, etc. The construction management system server 22 updates the database based on the received data.

[0037] (Step S17) The construction management system server 22 transmits information about the updated database to the tool management system 3, whereby the construction management system 2 and the tool management system 3 cooperate with each other.

[0038] 4 is a diagram showing an example of the screen configuration of the display screen of the administrator terminal according to the first embodiment. With reference to the same figure, an example of the screen configuration of the display screen IM1 displayed on the administrator terminal will be described. The display screen IM1 has the following symbols D11 to D19 as screen components.

[0039] Reference numeral D11 denotes an information display section. Reference numeral D11 describes information related to the work. Specifically, the figure shows an example in which the work number is "1," the sub-number is "1," the work date and time is "2023 / 1 / 110:30:45," the scheduled worker is "Tanaka," the worker is "Tanaka," the tool is "0001," the sleeve type is "straight line 50," the number of compressions is "6," and the image analysis result is "OK." By checking this information, the manager can obtain information about the work content.

[0040] Reference symbol D12 is a warning message display area. If there is any warning regarding the results of the work, etc., it is displayed in reference symbol D12. If there is any warning, for example, if the work was performed with a tool for which reading has not been performed. In this case, a warning message such as "The work was performed with a tool for which information acquisition has not been performed" is displayed. Furthermore, if the work was performed with a tool whose output pressure value is less than the threshold value (90 kN (kilonewtons)), a warning message such as "The work was performed with a tool with an output problem" is displayed. Furthermore, if the work was performed with a tool for which output pressure value acquisition (i.e., pre-work inspection) has not been performed, a warning message such as "The work was performed with a tool for which an output check has not been performed" is displayed.

[0041] Reference symbol D13 is an image switching button. By pressing this image switching button, information about the analysis results that is drawn (overlaid) on the image displayed by reference symbol D19 (described later) can be turned on or off. The same figure shows an example of the case where information about the analysis results is drawn (i.e., the drawing is on state).

[0042] Reference symbol D14 is a task switching button. Reference symbol D14 includes, as its components, a back button D14-1 and a forward button D14-2. The manager can switch tasks by pressing the buttons.

[0043] Symbols D15 and D16 are approval result input buttons. The administrator checks the information display section of symbol D11 and the image of symbol D19 and gives approval. The administrator presses symbol D15 if the approval result is OK, and presses symbol D16 if the approval result is NG.

[0044] Reference symbol D17 is a back button. Pressing this button switches to a display screen at a higher level than the display screen IM1. The display screen at a higher level than the display screen IM1 may be, for example, a work management screen.

[0045] Code D18 displays the approval result from the administrator. In the example shown, the approval result is "OK." The display of code D18 changes each time either code D15 or code D16 is pressed.

[0046] Reference symbol D19 indicates the results of an image captured and analyzed by the operator terminal 25. Pressing any location on the image allows the user to enlarge that location. Additionally, dragging any location on the image allows the user to move the display position, and pressing the screen again allows the user to end the enlarged display. The magnification factor may be fixed at, for example, 3x.

[0047] FIG. 5 is a diagram illustrating an example of information associated with tool information stored in the tool management system according to the first embodiment. The information shown in FIG. 5 is an example of tool information 31 in the tool management system 3. As shown in the figure, tool identification information, heavy inspection results, and pre-work inspection results are associated with each other. Specifically, the heavy inspection result of a tool whose tool identification information is "Tool1" is "Result 11," and the pre-work inspection result is "Result 21." Furthermore, the heavy inspection result of a tool whose tool identification information is "Tool2" is "Result 12," and the pre-work inspection result is "Result 22." Furthermore, the heavy inspection result of a tool whose tool identification information is "Tool3" is "Result 13," and the pre-work inspection result is "Result 23."

[0048] Next, the difference between a heavy inspection and a pre-work inspection will be explained with reference to FIGS. 6 and 7. A heavy inspection is a periodic inspection, for example, an inspection that is performed approximately once a year. More specifically, heavy inspections include a three-month inspection that is performed every three months, a periodic inspection that is performed every six months, and a manufacturer inspection that is performed annually. On the other hand, a pre-work inspection is, in principle, an inspection of the minimum operation of a tool (for example, checking operation and output) that is performed before the start of work each day. Here, a pre-work inspection is not limited to being performed immediately before the start of work, but may be performed at any time before the start of work. For example, a pre-work inspection may include an inspection that is performed daily.

[0049] To give a specific example, a tool's pressure regulation device may adjust the specified pressure range (tool output) by opening a valve held down by a compression coil spring. In such cases, the working environment and number of uses can affect the viscosity of the hydraulic oil, the deterioration of the sealing material, the degree of wear on parts, and the condition of the power battery, resulting in variations in hydraulic pressure. Furthermore, it is impossible to determine whether the workpiece (e.g., a compression sleeve) is being compressed at the appropriate output by visual inspection or image analysis using AI.

[0050] To refer to the results of a heavy inspection on-site, it is necessary to rely on information obtained from a memory unit connected via a specified communication network. On the other hand, the information from the pre-work inspection is information within the on-site network (offline). Therefore, operationally, the only method available for determining whether work has passed or failed on-site is to measure tool output on-site. In order to match the work results with the tool output for that day, a pre-work inspection is the appropriate method.

[0051] FIG. 6 is a diagram for explaining the heavy inspection according to the first embodiment. The heavy inspection checks for the presence or absence of abnormalities that may affect actual use. Specifically, the heavy inspection checks for the presence or absence of oil leaks and internal leaks, checks operation, etc. The heavy inspection also checks for the replenishment of hydraulic oil, whether there are any problems with the attachment and detachment of the die, and checks for the specified output. In the heavy inspection, the tool output is inspected using a check meter. In the specified output check, a dedicated output measuring jig is used to check whether the tool piston output is at a specified threshold value (for example, within 100 to 105 kN).

[0052] Further, the re-inspection may include, for example, checking for play between the head and handle, misalignment of the alignment marks, and electric / manual hydraulic pressure [kN]. If there are any special notes during the re-inspection, comments can be left. The re-inspection is performed using a customer's terminal device (typically a laptop PC). The terminal device performs the re-inspection by running a web application over the Internet. The terminal device first captures an image of the two-dimensional code affixed to the tool and reads the tool name, tool model, serial number, and other information stored in the captured two-dimensional code. This reading operation identifies the tool. The two-dimensional code may contain information such as "S7G ​​(tool name) 120RT (model number) 21927201239001 (serial number)." If the two-dimensional code cannot be read or the terminal device does not have a camera, the tool's identification information may be entered manually. The worker then checks the tool. The output check process may be performed by manually inputting values ​​using a pressure gauge alone. Instead of manually inputting values, short-range wireless communication using standards such as Bluetooth (registered trademark) may be used. The worker terminal 25 associates information such as the model and serial number, tool output, inspection date and results, number of operations, delivery date, and number of tools owned by each sales office, and transmits the information to the tool management system 3 via a predetermined communication network NW. The results transmitted to the tool management system 3 are stored in a cloud server (not shown) and then transmitted to the worker terminal 25, etc.

[0053] FIG. 7 is a diagram for explaining a pre-work inspection according to the first embodiment. In the pre-work inspection, a check meter is used to inspect the tool output, as in the heavy inspection. The tool output check meter outputs the inspection results to the worker terminal 25 via short-range wireless communication according to a standard such as Bluetooth (registered trademark). The pre-work inspection is a simpler inspection than the heavy inspection. Also, unlike the heavy inspection, the pre-work inspection is an inspection that can be completed at the work site.

[0054] In the above example, the two-dimensional code is read to read the tool model, serial number, etc., both during the heavy inspection and the pre-work inspection. However, this embodiment is not limited to this example, and the tool model and serial number may be obtained by other methods. Examples of other methods include a method in which information is output directly from the tool to the operator terminal 25.

[0055] Fig. 8 is a diagram showing an example of the screen configuration of the display screen of the worker terminal according to the first embodiment. Next, with reference to the same figure, an example of the screen configuration of display screen IM2 displayed on worker terminal 25 will be described. This figure can also be said to be a diagram showing the screen configuration of the display screen displayed on worker terminal 25 in step S13 described with reference to Fig. 3. Display screen IM2 has the following symbols D21 to D29 as screen components.

[0056] Reference symbol D21 denotes a slide bar for adjusting the exposure of the image and the threshold for judgment. The worker can adjust the slide bar according to the brightness of the captured image. The worker terminal 25 performs AI analysis based on the captured image and the exposure and threshold determined by the slide bar. In the AI ​​analysis, the worker terminal 25 first performs object detection. As a result of object detection, the position of the compression sleeve is identified as a bounding box BB. The bounding box BB may display the likelihood of being a straight line. Specifically, "straight 0.67" is displayed in the same figure.

[0057] In addition, the AI ​​analysis evaluates the appropriate number of compressions, compression locations, and compression shape for each sleeve. Note that in addition to image information, the AI ​​analysis may also use tool information (such as when it was used and what the output was at that time) as input information.

[0058] Reference symbol D22 indicates the connection status to the site network. In the example shown, it is "not connected," that is, the state is not connected to the site network.

[0059] Reference symbol D23 is a send button. The worker can send the evaluation results to the administrator by operating this button. The send button may be set to be active when the connection status of reference symbol D22 is "connected."

[0060] Reference symbol D24 is a display section that indicates the identification information of the tool. The identification information of the tool may be a model, a serial number, or the like. In the illustrated example, the identification information of the tool is "S7G-120RT22X001."

[0061] Reference symbol D25 is a selection section for selecting the type of sleeve. In the example shown, "Straight Line 90" is selected. Reference symbol D25 may also be a display section that automatically determines the type of sleeve based on the results of AI analysis and displays the result.

[0062] Symbols D26 to D29 are setting buttons for changing the imaging conditions. The operator can change the imaging conditions such as the focal length by operating these buttons. Note that the display screen IM2 may also include a plurality of other imaging condition setting buttons as image components.

[0063] The evaluation results obtained by the worker and the worker terminal 25 are sent to the manager in real time, and the manager ultimately decides whether or not the work is to be completed. In the conventional method, the worker decides whether or not the work is to be completed, which can result in the work being completed in a defective state. In this embodiment, the work is checked based on the results of the AI ​​analysis, and the manager can directly check the work results using images, thereby reducing the number of work mistakes.

[0064] FIG. 9 is a diagram showing an example of training data used for AI learning according to the first embodiment. The images shown in FIGS. 9(A) to 9(P) are images of a compression sleeve after an operator has actually performed the work. The images may have been image-processed after capture to emphasize distinctive features. It is preferable that there are three types of images used as training data: not performed, OK, and NG. It is also preferable that there is as much training data as possible, and that there are various types of images (for example, images taken under backlit conditions or with low brightness). The training data associates image files with judgment results and the type of defect when the judgment result is NG.

[0065] FIG. 10 is a diagram showing an example of a case where the judgment result according to the first embodiment is negative. The figure shows a photograph of a compressed sleeve, with items, details, and notations associated with each other. The item "Bent" is a defect that occurs when the compressed sleeve is compressed in a direction that is not perpendicular to the compressed sleeve. In this case, it is marked as "NG_C." The item "Multiple overlaps" is a defect that occurs when multiple compressed areas are adjacent to each other. In this case, it is marked as "NG_D." The item "Wrong die size (smaller than normal)" is a defect that occurs when the compressed sleeve is compressed using dies of a smaller size than normal. In this case, it is marked as "NG_U." The item "Wrong die size (larger than normal)" is a defect that occurs when the compressed sleeve is compressed using dies of a larger size than normal. In this case, it is marked as "NG_S."

[0066] 11A to 11D are diagrams showing an example of an AI analysis result according to the first embodiment. The images shown in FIGS. 11A to 11D are images of compressed sleeves after actual work by workers, which were then evaluated by AI (AI analysis). As shown in the figures, the positions of the sleeve and compression marks, and whether the compression was good or bad are determined. The number shown in the upper left of the bounding box in the figure indicates the likelihood that the judgment result is good; the closer to 1, the higher the probability of good, and the closer to 0, the higher the probability of poor.

[0067] 12 is a functional configuration diagram showing an example of the functional configuration of the determination system according to the first embodiment. With reference to the diagram, an example of a specific functional configuration for realizing the system 1 as described above will be described. The system 1 includes a tool information acquisition unit 41, a tool determination unit 42, a construction result acquisition unit 43, a construction standard storage unit 44, a construction result determination unit 45, and a presentation unit 46. The system 1 may also be referred to as a determination system.

[0068] The tool information acquisition unit 41 acquires information about tools used in work. The information about the tools includes inspection results from heavy inspections and inspection results from pre-work inspections. The information about the tools may also be based on output values ​​detected by a tool output check meter. Because the tool output check meter detects the output value of the tool, the tool output check meter may also be referred to as a detection unit. The tool information acquisition unit 41 outputs the acquired tool information to the tool determination unit 42.

[0069] The tool determination unit 42 determines whether a tool is suitable based on identification information for identifying the tool, the results of the first inspection during the heavy inspection, and the results of the second inspection during the pre-work inspection. The suitability of a tool may refer to whether the tool at the time of the pre-work inspection is an appropriate tool that meets standards. The identification information for identifying a tool may include information such as whether the tool is hand-held, electric, or hydraulic.

[0070] The frequency with which the second inspection results are obtained is preferably every time before work starts, and may be daily. Therefore, the frequency with which the second inspection results are obtained can be said to be higher than the frequency with which the first inspection results, which are the results of periodic inspections such as once a year, are obtained. Furthermore, the amount of information contained in the second inspection results may be easily obtained, such as tool output values, and is less than the amount of information contained in the first inspection results during heavy inspections. The first inspection results may include many inspection results other than tool output values, such as tool output values, degree of wear, degree of deterioration, level of operating oil, number of operations, etc. Furthermore, the second inspection results may be updated when the work plan is updated to a new site.

[0071] The construction result acquisition unit 43 acquires information about the construction results of the tool. The information about the construction results may be, for example, an image captured by the worker terminal 25. The construction result acquisition unit 43 may acquire the construction results for each location where work was performed (for example, for each compression sleeve). Note that one image may include multiple work results (work locations).

[0072] The construction standard storage unit 44 stores information related to construction standards. The information related to construction standards may include information related to thresholds for determining whether construction results are appropriate.

[0073] The construction result determination unit 45 determines whether the construction results are appropriate based on the construction standards stored in the construction standard storage unit 44 and the construction results acquired by the construction result acquisition unit 43. The construction result acquisition unit 43 may determine whether the construction results are appropriate by performing AI analysis using, for example, a pre-trained machine learning model. The model used for the AI ​​analysis may be trained by supervised learning using images of the state of the construction target after construction and the construction results (for example, three patterns: not performed, OK, and NG) as training data. Note that the analysis performed by the construction result acquisition unit 43 is not limited to AI analysis, and other determination methods, such as program-based pattern determination, may also be used.

[0074] The presentation unit 46 presents the tool determination result determined by the tool determination unit 42 and the work determination result determined by the work result determination unit 45.

[0075] FIG. 13 is a block diagram showing an example of the internal configuration of the determination system according to the first embodiment. At least some of the functions of the determination system can be implemented using a computer. As shown in the figure, the computer includes a central processing unit 901, a RAM 902, an input / output port 903, input / output devices 904 and 905, and a bus 906. The computer itself can be implemented using existing technology. The central processing unit 901 executes instructions contained in a program read from the RAM 902 or the like. In accordance with each instruction, the central processing unit 901 writes data to the RAM 902, reads data from the RAM 902, and performs arithmetic and logical operations. The RAM 902 stores data and programs. Each element included in the RAM 902 has an address and can be accessed using the address. RAM is an abbreviation for "random access memory." The input / output port 903 is a port through which the central processing unit 901 exchanges data with external input / output devices. The input / output devices 904 and 905 are input / output devices. Input / output devices 904 and 905 exchange data with the central processing unit 901 via an input / output port 903. A bus 906 is a common communication path used within the computer. For example, the central processing unit 901 reads and writes data from and to RAM 902 via the bus 906. Also, for example, the central processing unit 901 accesses the input / output port via the bus 906. All or part of the functional units of the determination system may be realized using hardware such as an ASIC, a PLD, or an FPGA. All or part of the functional units may be realized by a combination of software and hardware.

[0076] FIG. 14 is a functional configuration diagram showing a modified example of the functional configuration of the determination system according to the first embodiment. With reference to the same figure, a description will be given of system 1A, which is a modified example of system 1. System 1A differs from system 1 in that it further includes a site supervisor confirmation result acquisition unit 47. In the description of system 1A, components similar to those of system 1 are given the same reference numerals, and their description may be omitted.

[0077] The site supervisor confirmation result acquisition unit 47 acquires the result of the judgment made by the manager of the construction site (e.g., the site supervisor) on the suitability of the construction results. The manager judges the suitability of the final construction results based on the result presented by the presentation unit 46 (i.e., the judgment result by the worker). In this case, the construction result judgment unit 45 may prioritize the judgment result by the manager over the judgment result by the machine learning model.

[0078] Next, a second embodiment will be described with reference to Fig. 15 to Fig. 19. In the first embodiment, an example of construction work on a high-voltage power transmission line has been described. However, this embodiment is not limited to this example. The second embodiment is an example of construction work on piping arranged inside a building.

[0079] Fig. 15 is a first diagram showing an example of construction according to the second embodiment. The figure shows an example of air conditioning equipment installed inside (and partly outside) a building. Pipes T11 and T12 are cold and hot water pipes, and pipe T2 is a drainage pipe. Joints F11 and F12 are compression joints. In the second embodiment, they are used for compression work of such compression joints.

[0080] FIG. 16 is a second diagram showing an example of construction according to the second embodiment. This diagram shows an example of a water distribution pipe installed inside (and partly outside) a building. Pipes T3 and T4 are examples of water distribution pipes. For example, pipe T3 may be a water supply pipe and pipe T4 may be a hot water supply pipe. The diagram shows a water heater, kitchen, toilet, washing machine, bathroom, and washbasin as facilities that use the water distribution pipe. The diagram shows fittings F31, F32, F41, F42, F43, F44, F45, F46, F51, F61, F71, F72, F81, and F82. In the second embodiment, these compression fittings may be used for compression work.

[0081] FIG. 17 is a diagram showing an example of a tool inspection method according to the second embodiment. With reference to the diagram, a compression method and an operation method using the tool according to this embodiment will be described. FIG. 17(A) is a diagram showing an example during operation. Reference numeral 81 shown in the diagram is an example of a tool, which compresses a compression joint portion of a pipe T81. FIG. 17(B) is a diagram showing an example during inspection. Reference numeral 82 shown in the diagram is a tool output check meter, which checks the output of the tool.

[0082] FIG. 18 is a diagram illustrating an example of a determination result according to the second embodiment. An example of a determination result according to this embodiment will be described with reference to the same figure. FIG. 18(A) illustrates a diagram before the pipes are connected. The pipes T51 and T52 are not connected to each other. A scribed line L is drawn on the pipe T52. FIG. 18(B) illustrates a case where the insertion result is good. Looking at FIG. 18(B), the scribed line L is hidden, and there is no gap. That is, the state shown in FIG. 18(B) is a state where the connection is appropriate. FIG. 18(C) illustrates a case where the insertion result is poor. Looking at FIG. 18(C), the scribed line L is visible, and there is a gap. That is, the state shown in FIG. 18(C) is a state where the connection is not appropriate. In this embodiment, by performing image determination based on the presence or absence of the scribed line L or the extent of the scribed line L, a determination by an operator and a determination by a manager may be made.

[0083] FIG. 19 is a diagram showing an example of a tool inspection method according to the prior art. A pipe 91 and a joint 92 are shown in the diagram. As shown in the diagram, conventionally, inspections have been performed using an inspection jig 93. Inspections using the inspection jig 93 have a high degree of uncertainty. According to this embodiment, a primary judgment can be made by an operator and a secondary judgment can be made by a manager, thereby preventing the conventional inspections with a high degree of uncertainty.

[0084] [Summary of the embodiment] According to the embodiment described above, the judgment system includes the tool judgment unit 42, which judges the suitability of a tool based on identification information for identifying the tool, the results of the first inspection during the heavy inspection, and the results of the second inspection during the pre-work inspection. The judgment system includes the work result acquisition unit 43, which acquires the results of work performed by the tool. The work result judgment unit 45 judges the suitability of the work results based on the work standards and the work results. The judgment system includes the presentation unit 46, which presents the tool judgment results and the work judgment results. That is, according to this embodiment, the judgment system can present the tool inspection results and the judgment results of the work performed by the tool. The manager makes a final judgment based on the tool inspection results and the judgment results of the work performed by the tool. Therefore, according to this embodiment, it can be determined that the correct work was performed using a correctly calibrated tool.

[0085] Note that all or part of the functions of each unit of system 1 in the above-described embodiment may be realized by recording a program for realizing these functions on a computer-readable recording medium, and reading and executing the program recorded on the recording medium into a computer system. Note that the term "computer system" here includes hardware such as an OS and peripheral devices.

[0086] Furthermore, "computer-readable recording media" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage units such as hard disks built into computer systems. Furthermore, "computer-readable recording media" may also include devices that dynamically store programs for a short period of time, such as communication lines when transmitting programs over networks like the Internet or communication lines like telephone lines, or devices that store programs for a fixed period of time, such as volatile memory within computer systems that serve as servers or clients in such cases. Furthermore, the above-mentioned programs may be programs that realize some of the aforementioned functions, or may be programs that can realize the aforementioned functions in combination with programs already stored in the computer system. [Explanation of symbols]

[0087] 1...system, 2...construction management system, 3...tool management system, 21...work result information, 31...tool information, 22...construction management system server, 23...manager vehicle, 24...worker vehicle, 25...worker terminal, 41...tool information acquisition unit, 42...tool determination unit, 43...construction result acquisition unit, 44...construction standard storage unit, 45...construction result determination unit, 46...presentation unit, 47...site supervisor confirmation result acquisition unit

Claims

1. a tool determination unit that determines whether the tool is suitable based on identification information that identifies the tool, a first inspection result at the time of the heavy inspection, and a second inspection result at the time of the pre-work inspection; a construction result acquisition unit that acquires construction results using the tool; a construction result determination unit that determines whether the construction result is appropriate based on the construction standard and the construction result; a presentation unit that presents the tool determination result and the construction determination result; A determination system comprising:

2. The frequency at which the second inspection result is obtained is higher than the frequency at which the first inspection result is obtained; The amount of information included in the second inspection result is less than the amount of information included in the first inspection result. The determination system according to claim 1 .

3. the tool has a detection unit that detects an output value, The first inspection result and the second inspection result are based on the output value detected by the detection unit. The determination system according to claim 1 or 2.

4. The construction result determination unit determines whether the construction result is appropriate using a machine learning model that has been trained in advance using an image of the state of the construction target after construction and the construction result as training data. The determination system according to claim 1 or 2.

5. The system further includes a site supervisor confirmation result acquisition unit that acquires the result of a construction site manager's judgment on the suitability of the construction results based on the results presented by the presentation unit. The determination system according to claim 4 .

6. The construction result determination unit prioritizes the determination result by the manager of the construction site over the determination result by the machine learning model. The determination system according to claim 5 .

7. The second inspection result is updated when the work plan is updated to a new site. The determination system according to claim 1 or 2.

8. a tool determination unit that determines whether the tool is suitable based on identification information that identifies the tool, a first inspection result at the time of the heavy inspection, and a second inspection result at the time of the pre-work inspection; a construction result acquisition unit that acquires construction results using the tool; a construction result determination unit that determines whether the construction result is appropriate based on the construction standard and the construction result; a presentation unit that presents the tool determination result and the construction determination result; A determination method having the following.

Images