Maintenance work assistance device, maintenance work assistance method, and program

Abstract

To provide a maintenance work assistance device, a maintenance work assistance method, and a program, which enable even workers with little work experience to accurately determine the necessity to disassemble and inspect an industrial machine and assist with maintenance work.SOLUTION: A maintenance work assistance system comprises a maintenance work assistance device, a database, and a terminal device. The maintenance work assistance device and the terminal device are connected to a communication network such as the internet (wide area network), and are capable of data communication with each other. The maintenance work assistance device 100 includes: a reception section 101 that receives inspection result information indicating a result of inspection of an industrial machine executed without disassembling the industrial machine at an installation location of the industrial machine; and a state estimation section 102 that estimates, on the basis of the inspection result information received by the reception section, a state of the industrial machine related to the necessity of disassembling and inspecting the industrial machine.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a maintenance work support device, a maintenance work support method, and a program for supporting maintenance work of production machinery in a plant including a plurality of production machinery. [Background technology]

[0002] Patent Document 1 describes a sales support system for construction machinery that provides support information based on customer information of sales targets to information recipients, in which a server outputs an extraction display signal to the sales computer, based on search conditions related to customers input via the sales computer, which extracts and displays customer information that matches the search conditions from customer information pre-stored in a database, and outputs an evaluation display signal that analyzes and evaluates the extracted customer information based on a combination of at least two evaluation items used for visual display input via the sales computer, and displays it on the information terminal of the information recipient. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2005-10868 A Summary of the Invention [Problem to be solved by the invention]

[0004] It is difficult for workers with little work experience to accurately judge the need to disassemble and inspect industrial machinery.

[0005] An object of the present invention is to enable even workers with little work experience to accurately determine the need to disassemble and inspect industrial machinery. [Means for solving the problem]

[0006] With this objective in mind, the present invention provides a maintenance work support device comprising: a reception unit that receives inspection result information indicating the results of an inspection of an industrial machine performed at the installation site of the industrial machine without disassembling the industrial machine; and an estimation unit that estimates the state of the industrial machine regarding the need to disassemble and inspect the industrial machine based on the inspection result information received by the reception unit.

[0007] The maintenance work support device may further include an output unit that outputs input support information that supports input of the inspection result information received by the reception unit.

[0008] The reception unit may receive quantitative information and qualitative information as the inspection result information. In this case, the reception unit may receive image data of the inspection location as the qualitative information, and the estimation unit may acquire image values ​​obtained by digitizing the image data received by the reception unit, and estimate the state of the industrial machine based on the image values.

[0009] The estimation unit may estimate, when the inspection result information is equal to or greater than a predetermined standard, that the state of the industrial machinery is a state in which the level of necessity is at a first level. In this case, when the inspection result information is not equal to or greater than the predetermined standard, if it is predicted that the inspection result information will exceed the predetermined standard during continuous operation of the industrial machinery, the estimation unit may estimate, when the inspection result information is not equal to or greater than the predetermined standard, that the state of the industrial machinery is a state in which the level of necessity is at a second level equal to or lower than the first level. Also, when the inspection result information is not equal to or greater than the predetermined standard, the estimation unit may estimate, when the inspection result information is not equal to or greater than the predetermined standard, that the state of the industrial machinery is a state in which the level of necessity is at a level corresponding to the degree of approach of the inspection result information to the predetermined standard.

[0010] The industrial machine may further include a determination unit that determines work content to be performed when disassembling and inspecting the industrial machine based on the state of the industrial machine estimated by the estimation unit. In this case, the determination unit may determine work content such that the state of the industrial machine estimated by the estimation unit satisfies a predetermined condition. The determination unit may also determine work content such that the effect on performance improvement of the industrial machine satisfies a predetermined condition. The determination unit may also determine work content such that a required work skill satisfies a predetermined condition. The determination unit may also determine work content such that a required work cost satisfies a predetermined condition.

[0011] The present invention also provides a maintenance work support method including a step in which a reception unit of a computer receives inspection result information indicating the results of an inspection of an industrial machine performed at the installation site of the industrial machine without disassembling the industrial machine, and a step in which an estimation unit of the computer estimates the state of the industrial machine regarding the need to disassemble and inspect the industrial machine based on the received inspection result information.

[0012] Furthermore, the present invention also provides a program for enabling a computer to realize a function of receiving inspection result information indicating the results of an inspection of an industrial machine performed at the installation site of the industrial machine without disassembling the industrial machine, and a function of estimating the state of the industrial machine regarding the need to disassemble and inspect the industrial machine based on the received inspection result information. Effect of the Invention

[0013] According to the present invention, even workers with little work experience can accurately determine the need to disassemble and inspect industrial machinery. [Brief description of the drawings]

[0014] [Figure 1] 1 is a diagram showing an example of the overall configuration of a maintenance work support system according to an embodiment of the present invention; [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of a maintenance operation support device according to the present embodiment. [Diagram 3] 1 is a block diagram showing an example of a functional configuration of a maintenance operation support device according to an embodiment of the present invention; [Figure 4] FIG. 2 is a block diagram showing an example of a database configuration according to the present embodiment. [Diagram 5] FIG. 13 is a diagram showing an example of the configuration of a unit DB. [Figure 6] FIG. 2 is a diagram showing an example of the configuration of a main part DB. [Figure 7] FIG. 13 is a diagram showing an example of the configuration of an inspection location DB. [Figure 8] FIG. 13 is a diagram showing an example of the configuration of a determination content DB. [Figure 9] FIG. 13 is a diagram showing an example of the configuration of a continuous operation days DB. [Figure 10] FIG. 13 is a diagram showing an example of the configuration of a past inspection DB. [Figure 11] FIG. 13 is a diagram showing an example of the configuration of a recommended unit DB. [Figure 12] FIG. 13 illustrates an example of the configuration of a measurement value normalization DB. [Figure 13] FIG. 13 is a diagram showing an example of the configuration of an evaluation value normalization DB. [Figure 14] FIG. 13 illustrates an example of the configuration of an image value normalization DB. [Figure 15] FIG. 13 is a diagram showing an example of the configuration of inspection point status work data. [Figure 16] FIG. 13 is a diagram showing an example of the configuration of an inspection point status value DB. [Figure 17] FIG. 13 is a diagram showing an example of the configuration of main part state work data. [Figure 18] FIG. 13 is a diagram showing an example of the configuration of a main part state value DB. [Figure 19] FIG. 13 is a diagram showing an example of the configuration of unit state work data. [Figure 20] FIG. 13 illustrates an example of the configuration of a unit status value DB. [Figure 21] FIG. 13 is a diagram showing an example of the configuration of a unit work DB. [Figure 22] FIG. 13 is a diagram showing an example of the configuration of a main part work DB. [Figure 23]FIG. 13 is a diagram showing an example of the configuration of an inspection location work DB. [Figure 24] FIG. 13 is a diagram showing an example of the configuration of a work content DB. [Diagram 25] FIG. 13 is a diagram showing an example of the configuration of a past examination DB; [Figure 26] FIG. 4 shows a unit screen displayed in the present embodiment. [Figure 27] FIG. 13 is a diagram showing a main part screen displayed in the present embodiment. [Figure 28] FIG. 13 is a diagram showing a main part screen displayed in the present embodiment. [Figure 29] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a main part screen. [Diagram 30] FIG. 13 shows a diagnosis result screen displayed in the present embodiment. [Diagram 31] FIG. 13 shows a diagnosis result screen displayed in the present embodiment. [Diagram 32] FIG. 13 shows a diagnosis result screen displayed in the present embodiment. [Diagram 33] FIG. 13 shows a diagnosis result screen displayed in the present embodiment. [Figure 34A] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Figure 34B] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Diagram 35] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Diagram 36] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Figure 37] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Figure 38] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Figure 39] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Figure 40A] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Figure 40B] 10 is a flowchart showing an example of an operation performed by a state estimation unit in the present embodiment when creating a diagnosis result screen. [Diagram 41] FIG. 13 is a diagram showing a task list screen displayed in the embodiment of the present invention. [Diagram 42] 11 is a flowchart showing an example of an operation performed when a work content determination unit according to the present embodiment creates a work list screen. [Diagram 43] 11 is a flowchart showing an example of an operation performed when a work content determination unit according to the present embodiment creates a work list screen. [Diagram 44] 11 is a flowchart showing an example of an operation performed when a work content determination unit according to the present embodiment creates a work list screen. [Diagram 45] FIG. 13 shows a task search screen displayed in the embodiment of the present invention. [Diagram 46] FIG. 13 shows a task search screen displayed in the embodiment of the present invention. [Figure 47] FIG. 13 shows a task search screen displayed in the embodiment of the present invention. [Figure 48] 10 is a flowchart showing an example of an operation performed by a work content determination unit in the present embodiment when searching for a work. [Figure 49] 10 is a flowchart showing an example of an operation performed by a work content determination unit in the present embodiment when searching for a work. [Figure 50A] 10 is a flowchart showing an example of an operation performed by a work content determination unit in the present embodiment when searching for a work. [Figure 50B] 10 is a flowchart showing an example of an operation performed by a work content determination unit in the present embodiment when searching for a work. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0016] [Background of this embodiment] In general, in the maintenance of industrial machinery, it is desirable to bring it to the manufacturer's factory and disassemble it for inspection at regular intervals, but owners of industrial machinery often request that the manufacturer's technicians be dispatched as inspection workers to inspect the machinery at the customer's site (where the machinery is installed). Inspection at the customer's site does not allow disassembly for inspection. The inspection worker inspects the machinery at the customer's site, without disassembly, to the extent possible, by component (unit, main part, etc.). The inspection worker then judges the condition of the machinery from the results of the inspection and determines whether the machinery can be operated continuously for the operation period (number of days) required by the customer. If the machinery cannot be operated continuously for the operation period (number of days) required by the customer, the inspection worker will consider and propose the contents of an overhaul inspection, which is a detailed inspection, at the next inspection or immediately after. The necessity of an overhaul inspection and the contents of the overhaul inspection are considered based on the inspection worker's past experience, so the judgment often varies depending on the inspection worker's ability. As a result, when inspection workers are unsure of what to do, they tend to suggest redundant overhaul inspections or recommend overhauls with redundant content, resulting in unnecessary maintenance costs for the industrial machinery owners and production losses due to unnecessary shutdowns.

[0017] This type of work requires knowledge of the functional specifications of the industrial machinery that makes up the plant, as well as empirical know-how regarding maintenance plans, maintenance work, and work execution knowledge, and there was an issue that only veteran workers with a certain number of years of practical experience could carry out the work.In addition, there was also the issue that it was difficult to achieve a return on IT investment by simply building a system to streamline and standardize maintenance work based on a global standard cloud-based business platform system.

[0018] [Maintenance work support system configuration] 1 is a diagram showing an example of the overall configuration of a maintenance work support system 1 in this embodiment. As shown in the figure, the maintenance work support system 1 includes a maintenance work support device 100, a database 200, and a terminal device 300. The maintenance work support device 100 and the terminal device 300 are connected to a communication network such as the Internet (wide area network), and are capable of data communication with each other.

[0019] The maintenance work support device 100 is, for example, a computer such as a server computer. The terminal device 300 is, for example, a computer such as a laptop computer or a desktop computer. The terminal device 300 is used by an inspection worker who inspects industrial machinery and considers the necessity and contents of an overhaul inspection. The number of terminal devices 300 is not limited to one, and may be two or more.

[0020] The maintenance work support device 100 is capable of accessing a database 200. The database 200 may be provided inside the maintenance work support device 100, or may be provided outside the maintenance work support device 100 and accessed via a communication network.

[0021] The maintenance operation support device 100 runs, for example, an HTTP daemon, and upon receiving a processing request (HTTP request) transmitted from the terminal device 300 via a browser, returns to the terminal device 300 a processing result (HTTP response) corresponding to the processing request.

[0022] For example, the maintenance work support device 100 transmits page data described in a web page description language to the terminal device 300 as a processing result, and the terminal device 300 outputs a page image representing the page data received from the maintenance work support device 100 to a display unit of the terminal device.

[0023] [Hardware configuration of maintenance support device] FIG. 2 is a diagram showing an example of a hardware configuration of the maintenance operation support device 100 according to this embodiment.

[0024] As shown in the figure, the maintenance work support device 100 is realized by, for example, a general-purpose PC (Personal Computer) or the like, and includes a CPU 11 as a calculation means, a main memory 12 as a storage means, and a magnetic disk device (HDD: Hard Disk Drive) 13. Here, the CPU 11 executes various programs such as an OS (Operating System) and application software, and realizes each function of the maintenance work support device 100. The main memory 12 is a storage area that stores various programs and data used for executing the programs. The HDD 13 is a storage area that stores input data for the various programs, output data from the various programs, and the like.

[0025] The maintenance work support device 100 also includes a communication I / F 14 for communicating with the outside, a display mechanism 15 consisting of a video memory, a display, etc., an input device 16 such as a keyboard, a mouse, etc., and a driver 17 for reading and writing data from and to a storage medium. Note that Fig. 2 merely illustrates an example of a hardware configuration in which the maintenance work support device 100 is realized by a computer system, and the maintenance work support device 100 is not limited to the illustrated configuration.

[0026] [Configuration of the maintenance work support device] 3 is a block diagram showing an example of a functional configuration of the maintenance work support device 100 according to the present embodiment. As shown in the figure, the maintenance work support device 100 includes a receiving unit 101, a state estimating unit 102, a work content determining unit 103, and a transmitting unit 104.

[0027] The receiving unit 101 receives information that is input on a screen displayed on the terminal device 300 . Specifically, when an instruction to display a main part screen is input on a unit screen (described later) displayed on the terminal device 300, the receiving unit 101 receives this display instruction from the terminal device 300. Furthermore, when inspection result information indicating the results of an inspection performed at a customer's site without disassembling the industrial machinery is input on a main part screen (described later) displayed on the terminal device 300, the receiving unit 101 receives this inspection result information from the terminal device 300. Here, the inspection result information includes quantitative information and qualitative information. In this embodiment, the receiving unit 101 is provided as an example of a reception unit that receives inspection result information indicating the results of an inspection of the industrial machinery performed at the installation site of the industrial machinery without disassembling the industrial machinery. Then, when a diagnosis instruction to diagnose the state of the industrial machinery is input on a unit screen displayed on the terminal device 300, the receiving unit 101 receives this diagnosis instruction from the terminal device 300. Furthermore, when a work determination instruction is input on a diagnosis result screen (described later) displayed on the terminal device 300 to determine the work to be performed based on the diagnosis result of the condition of the production machinery, the receiving unit 101 receives this work determination instruction from the terminal device 300. Furthermore, when a work search instruction to search for work matching a condition is input on a work search screen (described later) called up from a work list screen (described later) displayed on the terminal device 300, the receiving unit 101 receives this work search instruction from the terminal device 300.

[0028] The state estimation unit 102 creates a unit screen, and when the receiving unit 101 receives an instruction to display a main part screen, creates a main part screen into which inspection result information is input. Furthermore, when the state estimation unit 102 receives a diagnosis instruction after the receiving unit 101 receives the inspection result information, the state estimation unit 102 estimates the state of the production machinery related to the necessity of an overhaul inspection based on the information stored in the database 200. Then, the state estimation unit 102 stores the state of the production machinery in the database 200, and creates a diagnosis result screen including the state of the production machinery. In this embodiment, the state estimation unit 102 is provided as an example of an estimation unit that estimates the state of the industrial machinery related to the necessity of disassembling and inspecting the industrial machinery based on the inspection result information received by the receiving unit.

[0029] When the receiving unit 101 receives a work determination instruction, the work content determination unit 103 determines the work content to be performed in the overhaul inspection of the production machinery based on the state of the production machinery estimated by the state estimation unit 102 and the information stored in the database 200. Then, the work content determination unit 103 creates a work list screen including the determined work content. In this embodiment, the work content determination unit 103 is provided as an example of a determination unit that determines the work content when disassembling and inspecting the industrial machinery based on the state of the industrial machinery estimated by the estimation unit. Furthermore, when the receiving unit 101 receives a task search instruction, the task content determination unit 103 creates a task search screen including task content that matches the conditions.

[0030] The transmission unit 104 transmits the screens created by the state estimation unit 102 and the work content determination unit 103 to the terminal device 300. Specifically, the transmission unit 104 transmits the unit screen created by the state estimation unit 102 and the main part screen for supporting the input of the inspection result information created by the state estimation unit 102 to the terminal device 300. In the present embodiment, the main part screen is used as an example of input support information for supporting the input of the inspection result information received by the reception unit, and the transmission unit 104 is provided as an example of an output unit that outputs the input support information. In addition, the transmission unit 104 transmits the diagnosis result screen created by the state estimation unit 102 to the terminal device 300. Furthermore, the transmission unit 104 transmits the work list screen and the work search screen created by the work content determination unit 103 to the terminal device 300.

[0031] [Database configuration] FIG. 4 is a diagram showing an example of the configuration of the database 200 in this embodiment. As shown in the figure, the database 200 includes a unit DB 201, a main part DB 202, an inspection location DB 203, a judgment content DB 204, and a number of continuous operation days DB 205. The database 200 also includes a past inspection DB 206, a recommended unit DB 207, a measurement value normalization DB 208, an evaluation value normalization DB 209, and an image value normalization DB 210. The database 200 also includes inspection location state work data 211, an inspection location state value DB 212, a main part state work data 213, a main part state value DB 214, a unit state work data 215, and a unit state value DB 216. The database 200 also includes a unit work DB 217, a main part work DB 218, an inspection location work DB 219, a work content DB 220, and a past inspection DB 221.

[0032] The unit DB 201 is a database for managing a plurality of functional units (hereinafter simply referred to as "units") that constitute production machinery. Fig. 5 is a diagram showing an example of the configuration of the unit DB 201. As shown in the figure, the unit DB 201 includes a customer ID, a customer name, a plant ID, a plant name, a machine ID, a machine name, a unit ID, a unit name, and the number of required main parts.

[0033] The customer ID is an ID that identifies the customer, and the customer name is the name of the customer. The plant ID is an ID that identifies the customer's plant (factory), and the plant name is the name of that plant. The machine ID is an ID that identifies the capital machinery that makes up the customer's plant, and the machine name is the name of that capital machinery. The unit ID is an ID that identifies a unit that makes up the capital machinery, and the unit name is the name of that unit. The required number of major parts is the minimum number of major parts required to estimate the state of the unit.

[0034] The main part DB 202 is a database for managing a plurality of main parts that constitute a unit. Fig. 6 is a diagram showing an example of the configuration of the main part DB 202. As shown in the figure, the main part DB 202 includes a unit ID, a main part ID, a main part name, and the number of required inspection points.

[0035] The unit ID is an ID that identifies the unit. The main part ID is an ID that identifies the main part of the unit identified by the unit ID, and the main part name is the name of the main part of the unit identified by the unit ID. The required number of inspection points is the minimum number of inspection points required to estimate the condition of the main parts.

[0036] The inspection location DB 203 is a database that manages a plurality of inspection locations that constitute the main parts. Fig. 7 is a diagram showing an example of the configuration of the inspection location DB 203. As shown in the figure, the inspection location DB 203 includes a main part ID, an inspection location ID, an inspection location name, a measurement reference value, and whether or not a status image is required.

[0037] The main part ID is an ID that identifies a main part. The inspection point ID is an ID that identifies an inspection point of the main part identified by the main part ID, and the inspection point name is the name of the inspection point of the main part identified by the main part ID. The measurement standard value is the minimum value for which the performance of the measurement value of the corresponding inspection point is guaranteed. The larger the measurement value, the worse the condition, and the performance is guaranteed when the measurement value is smaller than this measurement standard value. The status image necessity is a parameter that indicates whether a status image of the corresponding inspection location is necessary. A status image necessity "1" indicates that a status image is necessary, and a status image necessity "0" indicates that a status image is not necessary.

[0038] The judgment content DB 204 is a database that manages multiple judgment contents of the qualitative state of the inspection location. Fig. 8 is a diagram showing an example of the configuration of the judgment content DB 204. As shown in the figure, the judgment content DB 204 includes an inspection location ID, a judgment content ID, a judgment content name, an evaluation value, and an evaluation content.

[0039] The inspection location ID is an ID that identifies the inspection location. The judgment content ID is an ID that identifies the judgment content of the qualitative state of the inspection location, and the judgment content name is the name of the judgment content of the qualitative state of the inspection location. The evaluation value is an evaluation value of the judgment content specified by the judgment content ID, and the evaluation content is the evaluation content of the judgment content specified by the judgment content ID. Here, for example, integer values ​​from "1" to "5" may be set as the evaluation value. The evaluation contents of the evaluation values ​​"1" to "5" may be defined as follows. That is, the evaluation content of the evaluation value "1" may be "good". The evaluation content of the evaluation value "2" may be "minor abnormality (repair, replacement, etc. are not required)". The evaluation content of the evaluation value "3" may be "an abnormality of a level that allows continued operation without taking measures such as operation adjustment, although repair, replacement, etc. are desirable in the future". The evaluation content of the evaluation value "4" may be "an abnormality of a level that allows continued operation without taking measures such as operation adjustment, although repair, replacement, etc. are desirable at the next inspection". The evaluation content of the evaluation value "5" may be "an abnormality of a level that requires urgent repair, replacement, etc."

[0040] The continuous operation days DB 205 is a database for managing the number of continuous operation days of a unit. Fig. 9 is a diagram showing an example of the configuration of the continuous operation days DB 205. As shown in the figure, the continuous operation days DB 205 includes a machine ID, a unit ID, and the number of continuous operation days.

[0041] The machine ID is an ID for identifying a production machine that constitutes a customer plant. The unit ID is an ID for identifying a unit. The number of continuous operation days is the number of continuous operation days of the corresponding unit that the customer expects. Note that the number of continuous operation days represents the continuous operation period in days, but a unit other than days may be used to represent the continuous operation period.

[0042] The past inspection DB 206 is a database for managing past on-site inspection results. Fig. 10 is a diagram showing an example of the configuration of the past inspection DB 206. As shown in the figure, the past inspection DB 206 includes a main part ID, an inspection location ID, a past inspection date, a past measurement value, a past image value, a past measurement normalization value, a past evaluation normalization value, and a past image normalization value.

[0043] The main part ID is an ID that identifies the main part, and if no value is set for the main part ID, it indicates all main parts. The inspection location ID is an ID that identifies the inspection location of the main part identified by the main part ID. The past inspection date is the date when an inspection was conducted on-site in the past. The past measurement value is the past measurement value of the inspection location identified by the inspection location ID. The past image value is the past image value of the inspection location identified by the inspection location ID. The past measurement normalized value is the past measurement normalized value of the inspection location identified by the inspection location ID. The past evaluation normalized value is the past evaluation normalized value of the inspection location identified by the inspection location ID. The past image normalized value is the past image normalized value of the inspection location identified by the inspection location ID.

[0044] The recommended unit DB 207 is a database that manages units that are recommended to be simultaneously overhauled (hereinafter, simply referred to as "recommended units"). Fig. 11 is a diagram showing an example of the configuration of the recommended unit DB 207. As shown in the figure, the recommended unit DB 207 includes a machine ID, a unit ID, and a recommended unit ID.

[0045] The machine ID is an ID for identifying a production machine that constitutes a customer plant. The unit ID is an ID for identifying a unit. The recommended unit ID is an ID for identifying a recommended unit that is a unit that should be subjected to a detailed overhaul inspection together.

[0046] The measurement value normalization DB 208 is a database that manages the normalization of measurement values. Fig. 12 is a diagram showing an example of the configuration of the measurement value normalization DB 208. As shown in the figure, the measurement value normalization DB 208 includes a main part ID, an inspection location ID, a normalization ID, a normalization value, an upper limit value for the measurement value, and a lower limit value for the measurement value.

[0047] The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point of the main part identified by the main part ID. The normalization ID is an ID that identifies the normalization. The normalization value is a normalization value corresponding to the normalization ID, and takes a value from 0 to 1, for example. The upper limit value for the measurement value is an upper limit value for the measurement value corresponding to the normalization ID, and the lower limit value for the measurement value is a lower limit value for the measurement value corresponding to the normalization ID.

[0048] The evaluation value normalization DB 209 is a database that manages the normalization of evaluation values. Fig. 13 is a diagram showing an example of the configuration of the evaluation value normalization DB 209. As shown in the figure, the evaluation value normalization DB 209 includes a main part ID, an inspection location ID, a judgment content ID, a normalization ID, a normalization value, an upper limit value for the evaluation value, and a lower limit value for the evaluation value.

[0049] The main part ID is an ID that identifies the main part. The inspection location ID is an ID that identifies the inspection location of the main part identified by the main part ID. The judgment content ID is an ID that identifies the judgment content of the qualitative state of the inspection location. The normalization ID is an ID that identifies the normalization. The normalization value is a normalization value corresponding to the normalization ID, and takes a value from 0 to 1, for example. The upper limit value for the evaluation value is an upper limit value for the evaluation value corresponding to the normalization ID, and the lower limit value for the evaluation value is a lower limit value for the evaluation value corresponding to the normalization ID.

[0050] The image value normalization DB 210 is a database that manages the normalization of image values. Fig. 14 is a diagram showing an example of the configuration of the image value normalization DB 210. As shown in the figure, the image value normalization DB 210 includes a main part ID, an inspection location ID, a normalization ID, a normalization value, an upper limit value for image values, and a lower limit value for image values.

[0051] The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point of the main part identified by the main part ID. The normalization ID is an ID that identifies the normalization. The normalization value is a normalization value corresponding to the normalization ID, and takes a value from 0 to 1, for example. The upper limit value for image values ​​is an upper limit value for image values ​​corresponding to the normalization ID, and the lower limit value for image values ​​is a lower limit value for image values ​​corresponding to the normalization ID.

[0052] The inspection point status work data 211 is work data for managing the status of the inspection point. Fig. 15 is a diagram showing an example of the configuration of the inspection point status work data 211. As shown in the figure, the inspection point status work data 211 includes a main part ID, an inspection point ID, an inspection point status value, a measurement normalization value, an evaluation normalization value, an image normalization value, and an inspection point integrated value.

[0053] The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point of the main part identified by the main part ID. The inspection point status value is a value that indicates the estimated status of the inspection point, and for example, takes an integer value greater than or equal to 0. The measurement normalization value is a value after normalization of the measurement value, and for example, takes a value between 0 and 1. The evaluation normalization value is a value after normalization of the evaluation value, and for example, takes a value between 0 and 1. The image normalization value is a value after normalization of the image value, and for example, takes a value between 0 and 1. The inspection point accumulated value is a value obtained by accumulating the measurement normalization value, the evaluation normalization value, and the image normalization value.

[0054] The inspection point status value DB 212 is a database for managing the status values ​​of the inspection points. Fig. 16 is a diagram showing an example of the configuration of the inspection point status value DB 212. As shown in the figure, the inspection point status value DB 212 includes a main part ID, an inspection point ID, an inspection point status value, an inspection point status name, an inspection point upper limit value, and an inspection point lower limit value.

[0055] The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point of the main part identified by the main part ID. The inspection point status value is a value that indicates the estimated status of the inspection point, and is, for example, an integer value greater than or equal to 0. The inspection point status name is the name of the estimated status of the inspection point. The inspection point upper limit value is the upper limit of the inspection point integrated value corresponding to the inspection point status value, and the inspection point lower limit value is the lower limit of the inspection point integrated value corresponding to the inspection point status value.

[0056] Here, for example, "0", "1", "2", and "11" may be set as the inspection point status values ​​in Figs. 15 and 16. The inspection point status names for the inspection point status values ​​"0", "1", "2", and "11" may be defined as follows. That is, the inspection point status name for the inspection point status value "0" may be "normal". The inspection point status name for the inspection point status value "1" may be "observation required". The inspection point status name for the inspection point status value "2" may be "disassembly and inspection required". The inspection point status name for the inspection point status value "11" may be "urgent disassembly and inspection".

[0057] The main part status work data 213 is work data for managing the status of the main parts. Fig. 17 is a diagram showing an example of the configuration of the main part status work data 213. As shown in the figure, the main part status work data 213 includes a main part ID, a main part status value, and a main part integrated value.

[0058] The main part ID is an ID that identifies the main part. The main part status value is a value that indicates the estimated status of the main part, and is, for example, an integer value equal to or greater than 0. The main part integrated value is a value obtained by integrating the inspection point integrated values ​​of all inspection points of the main part.

[0059] The main part status value DB 214 is a database for managing the status values ​​of the main parts. Fig. 18 is a diagram showing an example of the configuration of the main part status value DB 214. As shown in the figure, the main part status value DB 214 includes a main part ID, a main part status value, a main part status name, an upper limit value for a main part, and a lower limit value for a main part.

[0060] The main part ID is an ID that identifies the main part. The main part status value is a value that indicates the estimated status of the main part, and is, for example, an integer value greater than or equal to 0. The main part status name is the name of the estimated status of the main part. The main part upper limit value is the upper limit of the main part integrated value that corresponds to the main part status value, and the main part lower limit value is the lower limit of the main part integrated value that corresponds to the main part status value.

[0061] Here, for example, "0", "1", and "2" may be set as the main part status values ​​in Figs. 17 and 18. The main part status names for the main part status values ​​"0", "1", and "2" may be defined as follows. That is, the main part status name for the main part status value "0" may be "normal". The main part status name for the main part status value "1" may be "observation required". The main part status name for the main part status value "2" may be "disassembly and inspection required".

[0062] The unit status work data 215 is work data that manages the status of the unit. Fig. 19 is a diagram showing an example of the configuration of the unit status work data 215. As shown in the figure, the unit status work data 215 includes a unit ID, a unit status value, and a unit integrated value.

[0063] The unit ID is an ID that identifies the unit. The unit status value is a value that indicates the estimated status of the unit, and is, for example, an integer value equal to or greater than 0. The unit integrated value is a value obtained by integrating the integrated values ​​of the main parts of all the main parts of the unit.

[0064] The unit status value DB 216 is a database for managing the status values ​​of units. Fig. 20 is a diagram showing an example of the configuration of the unit status value DB 216. As shown in the figure, the unit status value DB 216 includes a unit ID, a unit status value, a unit status name, an upper limit value for a unit, and a lower limit value for a unit.

[0065] The unit ID is an ID that identifies the unit. The unit state value is a value that indicates the estimated state of the unit, and is, for example, an integer value equal to or greater than 0. The unit state name is the name of the estimated state of the unit. The unit upper limit value is the upper limit of the unit accumulated value corresponding to the unit state value, and the unit lower limit value is the lower limit of the unit accumulated value corresponding to the unit state value.

[0066] Here, for example, "0", "1", and "2" may be set as the unit status values ​​in Figures 19 and 20. The unit status names for the unit status values ​​"0", "1", and "2" may be defined as follows. That is, the unit status name for the unit status value "0" may be "normal". The unit status name for the unit status value "1" may be "observation required". The unit status name for the unit status value "2" may be "disassembly and inspection required".

[0067] The unit work DB 217 is a database for managing standard overhaul inspection work of units. Fig. 21 is a diagram showing an example of the configuration of the unit work DB 217. As shown in the figure, the unit work DB 217 includes a unit status value, a unit ID, a main part ID, an inspection location ID, and a work content ID.

[0068] The unit status value is a value indicating the estimated status of the unit, and is, for example, an integer value equal to or greater than 0. The unit ID is an ID that identifies the unit. The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point. The work content ID is an ID that identifies the work content of the overhaul inspection to be performed on the unit with the corresponding unit status value.

[0069] The main part work DB 218 is a database for managing standard overhaul inspection work of main parts. Fig. 22 is a diagram showing an example of the configuration of the main part work DB 218. As shown in the figure, the main part work DB 218 includes main part status values, unit IDs, main part IDs, inspection location IDs, and work content IDs.

[0070] The main part status value is a value indicating the estimated status of the main part, and is, for example, an integer value equal to or greater than 0. The unit ID is an ID that identifies the unit. The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point. The work content ID is an ID that identifies the work content of the overhaul inspection to be performed on the main part with the corresponding main part status value.

[0071] The inspection location work DB 219 is a database for managing standard overhaul inspection work at inspection locations. Fig. 23 is a diagram showing an example of the configuration of the inspection location work DB 219. As shown in the figure, the inspection location work DB 219 includes an inspection location status value, a unit ID, a main part ID, an inspection location ID, and a work content ID.

[0072] The inspection point status value is a value indicating the estimated status of the inspection point, and is, for example, an integer value equal to or greater than 0. The unit ID is an ID that identifies the unit. The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point. The work content ID is an ID that identifies the work content of the overhaul inspection to be performed on the inspection point of the corresponding inspection point status value.

[0073] The work content DB 220 is a database for managing the work content of an overhaul inspection. Fig. 24 is a diagram showing an example of the configuration of the work content DB 220. As shown in the figure, the work content DB 220 includes a work content ID, a work content, a unit ID, a main part ID, an inspection location ID, a performance impact degree, a recommended inspection period, a required skill level, and a required cost.

[0074] The work content ID is an ID that identifies the work content, and the work content is the work content identified by the work content ID. The unit ID is an ID that identifies the unit. The main part ID is an ID that identifies the main part. The inspection point ID is an ID that identifies the inspection point. The performance impact degree is the degree of impact that the execution of the corresponding work content has on performance improvement. The performance impact degree may take an integer value of 0 or more, for example, and the larger the value, the greater the impact degree. The recommended inspection interval is a recommended interval for performing the corresponding work content, and may be set, for example, in days. The required skill level is the skill level of a worker required to perform the corresponding work content. The required skill level may take an integer value of 0 or more, for example, and the larger the value, the higher the skill level. The required cost is an estimated cost required to perform the corresponding work content, and may be set in units of yen, for example.

[0075] The past inspection DB 221 is a database for managing the implementation of past overhaul inspections. Fig. 25 is a diagram showing an example of the configuration of the past inspection DB 221. As shown in the figure, the past inspection DB 221 includes a work content ID, a past inspection date, a unit ID, a main part ID, and an inspection location ID.

[0076] The work content ID is an ID that identifies the work content. The past inspection date is the date on which an overhaul inspection was previously performed. The unit ID is an ID that identifies the unit. The main part ID is an ID that identifies the main part. The inspection location ID is an ID that identifies the inspection location.

[0077] [Operation of the maintenance support device] 26 is a diagram showing a unit screen 310. The unit screen 310 is a top screen of the maintenance work support system 1 displayed on the terminal device 300 in the simplest embodiment. In the maintenance work support device 100, the state estimation unit 102 creates the unit screen 310. Immediately after the unit screen 310 is started, plant information for each customer is displayed in a "customer" column 311 and the like based on the unit DB 201 of the database 200. In addition, when a unit is selected in a unit selection area 312, a list of main parts constituting the selected unit is displayed in a main part display area 313 for each unit.

[0078] 26 shows the unit screen 310 when unit #1 is selected in the unit selection area 312. When unit #2 is selected in the unit selection area 312, a list of main parts that make up unit #2 is displayed in the main part display area 313.

[0079] In this state, when the "VIEW" button 314 corresponding to a selected main part of the main parts that make up the selected unit is pressed, main part screens 320, 330 including a list of inspection points for the selected main part are displayed on the terminal device 300.

[0080] FIG. 27 is a diagram showing a main part screen 320. In the maintenance operation support device 100, the state estimation unit 102 creates the main part screen 320. The main part screen 320 is a screen when the main part #1 of the unit #1 is selected. The main part screen 320 includes a judgment content selection area 321 and an image input area 322 for each inspection point of the main part. The judgment content selection area 321 is an area for selecting judgment content related to the qualitative state of the inspection point. The image input area 322 is an area for inputting a construction record photo as a state image. Alternatively, immediately after the "VIEW" button 314 is pressed on the unit screen 310 of FIG. 26, only a list of inspection points in the main part #1 of the unit #1 may be displayed. Then, when an input start button (not shown) is pressed, the judgment content selection area 321 and the image input area 322 may be displayed.

[0081] FIG. 28 is a diagram showing a main part screen 330. In the maintenance operation support device 100, the state estimation unit 102 creates the main part screen 330. The main part screen 330 is a screen when the main part #2 of the unit #1 is selected. The main part screen 330 includes a drawing display area 331 and a measurement value input area 332. The drawing display area 331 is an area for illustrating the measurement position for each inspection point in the selected main part of the selected unit. The measurement value input area 332 is an area for inputting the measurement value of the quantitative state of each inspection point. In FIG. 28, the measurement value input area 332 is provided as an area for inputting one measurement value or a range of measurement values ​​for each inspection point, but this is not limited to this. The measurement value input area 332 may be provided as an area for inputting multiple measurement values ​​for each inspection point. In this case, it is preferable that the average of the multiple measurement values ​​is input.

[0082] In this manner, at least one of the main part screen 320 in FIG. 27 and the main part screen 330 in FIG. 28 is displayed, so that the terminal device 300 can register the inspection results at the customer's site.

[0083] 29 is a flowchart showing an example of the operation of the state estimation unit 102 when creating the main part screens 320, 330. This example of the operation starts when the "VIEW" button 314 on the unit screen 310 of FIG.

[0084] 29, the state estimation unit 102 extracts a group of main part information (step 401). Specifically, the state estimation unit 102 searches the main part DB 202 using the unit ID of the unit to be inspected as a key, and extracts a group of main part information including the main part ID, the main part name, and the like.

[0085] Next, the state estimation unit 102 extracts an inspection location information group (step 402). Specifically, the state estimation unit 102 searches the inspection location DB 203 using the unit ID of the unit to be inspected and the main part information group as keys, and extracts an inspection location information group including the inspection location ID, the inspection location name, and the like.

[0086] Next, the state estimation unit 102 extracts a judgment content information group (step 403). Specifically, the state estimation unit 102 searches the judgment content DB 204 using the unit ID of the unit to be inspected, the main part information group, and the inspection location and method group as keys, and extracts a judgment content information group including a judgment content ID, a judgment content name, and the like.

[0087] Thereafter, the state estimation unit 102 creates the main part screens 320, 330 for inputting the inspection results (step 404). Specifically, the state estimation unit 102 creates the main part screens 320, 330 for each unit, each main part, and each inspection location based on the information extracted in steps 401 to 403, using the first to third processing logics described below.

[0088] That is, the first processing logic is processing logic for displaying the measurement value input area 332 for an inspection point where a value exists (is not blank) in the measurement reference value in the inspection point DB 203. The second processing logic is processing logic for displaying a judgment content selection area 321 for an inspection point for which judgment content information exists in the judgment content DB 204. The third processing logic is processing logic for displaying the image input area 322 for an inspection spot for which the status image necessity is "1" in the inspection spot DB 203.

[0089] Moreover, when the “display diagnosis result” button 315 is pressed on the unit screen 310 of FIG.

[0090] 30 and 32 are diagrams showing a diagnosis result screen 340. In the maintenance operation support device 100, the state estimation unit 102 creates the diagnosis result screen 340. The diagnosis result screen 340 includes a unit name display area 341 and a unit state display area 342. The unit name display area 341 is an area for displaying the unit name, and a link 343 is embedded in each unit name. The unit state display area 342 is an area for displaying the state of the unit. A circle mark 344 indicates that the corresponding unit (any of units #1 to #5) is in the corresponding state (either normal, observation required, or disassembly required). A ◎ mark 345 additionally indicates that the corresponding state of the corresponding unit is highly urgent. It is also possible to display the name of an inspection point that requires disassembly and inspection by hovering the mouse over the ◎ mark 345.

[0091] When the unit name link 343 is clicked on the diagnosis result screen 340 of FIG. 30, the screen transitions to the diagnosis result screen 350 of FIG. 31, and when the unit name link 343 is clicked on the diagnosis result screen 340 of FIG. 32, the screen transitions to the diagnosis result screen 350 of FIG. 33.

[0092] 31 and 33 show a diagnosis result screen 350 that is displayed when the link 343 of unit #1 is clicked. In the maintenance operation support device 100, the state estimation unit 102 creates the diagnosis result screen 350. The diagnosis result screen 350 includes a main part name display area 351 and a main part state display area 352. The main part name display area 351 is an area for displaying the main part name. The main part state display area 352 is an area for displaying the state of the main part. The circle mark 354 indicates that the corresponding main part (any of the main parts #1 to #3) is in the corresponding state (either normal, observation required, or disassembly required). The ◎ mark 355 additionally indicates that the corresponding state of the corresponding main part is highly urgent. It is also possible to display the name of the inspection point that requires disassembly and inspection by hovering the mouse over the ◎ mark 355.

[0093] 34A to 40B are flowcharts showing an example of the operation of the state estimation unit 102 when creating diagnosis result screens 340, 350. This example of the operation starts when the "display diagnosis result" button 315 is pressed on the unit screen 310 of FIG.

[0094] 34A, the state estimation unit 102 focuses on one inspection point (step 501). Specifically, the state estimation unit 102 focuses on one inspection point among the inspection points displayed in the measurement value input area 332 on the main part screen 330.

[0095] Next, the state estimation unit 102 calculates the value A by calculating "measurement reference value - measured value" (step 502). Here, the state estimation unit 102 uses, as the measurement reference value, the value extracted by searching the inspection point DB 203 using the inspection point ID of the inspection point focused on in step 501 as a key. The state estimation unit 102 uses, as the measured value, the value input from the measurement value input area 332.

[0096] Next, the state estimation unit 102 determines whether the value A is equal to or less than "0" (step 503).

[0097] If it is determined in step 503 that the value A is equal to or less than "0", the state estimation unit 102 sets the inspection point status value to "11" as shown in FIG. 34B (step 508). Specifically, the state estimation unit 102 sets the inspection point status value corresponding to the inspection point ID of the inspection point focused on in step 501 to "11" in the inspection point status work data 211, and proceeds to the process in step 513. Here, the value A being equal to or less than "0" is an example of the inspection result information being equal to or greater than a predetermined standard. The inspection point status value being "11" is an example of the level of necessity to disassemble and inspect the industrial machine being the first level.

[0098] On the other hand, if it is determined in step 503 that value A is not equal to or less than "0", the state estimation unit 102 extracts the previous inspection date, which is the date of the previous inspection, and the previous measured value, which is the measurement value in the previous inspection, as shown in Fig. 34A (step 504). Specifically, the state estimation unit 102 searches the past inspection DB 206 using the inspection point ID of the inspection point focused on in step 501 as a key, and extracts the previous inspection date and the previous measured value. Then, the state estimation unit 102 sets the most recent inspection date and measurement value from among these past inspection dates and past measured values ​​as the previous inspection date and previous measured value.

[0099] Next, the state estimation unit 102 determines whether or not there is data relating to the previous inspection in step 504 (step 505).

[0100] If it is determined in step 505 that there is data related to the previous inspection, the state estimation unit 102 calculates the value B by calculating "measurement reference value - ((current measurement value - previous measurement value) ÷ (current date - previous inspection date) x number of continuous operation days)" (step 506). Here, the state estimation unit 102 uses, as the measurement reference value, the value extracted by searching the inspection point DB 203 using the inspection point ID of the inspection point focused on in step 501 as a key. The state estimation unit 102 uses, as the current measurement value, the value input from the measurement value input area 332. The state estimation unit 102 uses, as the previous measurement value and the previous inspection date, the values ​​extracted in step 504. The state estimation unit 102 uses, as the number of continuous operation days, the value extracted by searching the number of continuous operation days DB 205 using the machine ID of the target production machine and the unit ID of the target unit as keys. Thereby, the value B becomes the difference obtained by subtracting the measurement value predicted after the number of continuous operation days has elapsed from the measurement reference value.

[0101] Next, as shown in FIG. 34B, the state estimation unit 102 determines whether the value B is equal to or less than "0" (step 507).

[0102] If it is determined in step 507 that the value B is equal to or less than "0", the state estimation unit 102 sets the inspection point state value to "11" (step 508). Specifically, the state estimation unit 102 sets the inspection point state value corresponding to the inspection point ID of the inspection point focused on in step 501 in the inspection point state work data 211 to "11", and proceeds to the process in step 513. Here, the value B being equal to or less than "0" is an example of the inspection result information not being equal to or greater than a predetermined standard, but the inspection result information is predicted to exceed the predetermined standard during continuous operation of the industrial machine. The inspection point state value being "11" is an example of the level of necessity to disassemble and inspect the industrial machine being the second level. In this flowchart, the second level is set to a level equal to the first level, but may be set to a level lower than the first level.

[0103] On the other hand, if it is determined in step 507 that the value B is not equal to or less than "0", the state estimation unit 102 advances the process to step 509. Alternatively, if it is not determined in step 505 that there is data related to the previous inspection, the state estimation unit 102 advances the process to step 509. That is, the state estimation unit 102 calculates the value C by calculating "(measurement reference value - current measurement value) ÷ ((current measurement value - previous measurement value) ÷ (current date - previous inspection date))" (step 509). Here, the state estimation unit 102 uses, as the measurement reference value, the value extracted by searching the inspection point DB 203 using the inspection point ID of the inspection point focused on in step 501 as a key. The state estimation unit 102 uses, as the current measurement value, the value input from the measurement value input area 332. The state estimation unit 102 uses, as the previous measurement value and the previous inspection date, the values ​​extracted in step 504. Thus, the value C indicates how many days remain until the measurement value reaches the measurement reference value.

[0104] Next, the state estimation unit 102 calculates the value D by calculating "C / number of continuous operation days" (step 510). Here, the state estimation unit 102 uses, as the number of continuous operation days, the value extracted by searching the number of continuous operation days DB 205 using the machine ID of the target production machine and the unit ID of the target unit as keys. As a result, the value D indicates how many times the number of continuous operation days it takes for the measurement value to reach the measurement reference value.

[0105] Next, the state estimation unit 102 sets the normalized value corresponding to the value D as X1(i) (step 511). Specifically, the state estimation unit 102 searches the measurement value normalization DB 208 using the inspection point ID of the inspection point focused on in step 501 as a key, and identifies the upper limit value for measurement value and the lower limit value for measurement value that satisfy "lower limit value for measurement value≦D≦upper limit value for measurement value". Then, the state estimation unit 102 sets the normalized value corresponding to the upper limit value for measurement value and the lower limit value for measurement value in the measurement value normalization DB 208 as X1(i). Note that in this flowchart, the variable i represents the index of the inspection point focused on in step 501. In other words, the variable i takes any value from 0 to the number of inspection points for which the measurement value input area 332 is displayed.

[0106] Next, the state estimation unit 102 sets X1(i) to the measurement normalized value (step 512). Specifically, the state estimation unit 102 sets X1(i) to the measurement normalized value corresponding to the inspection point ID of the inspection point focused on in step 501 in the inspection point state work data 211, and proceeds to the process in step 513.

[0107] After that, the state estimation unit 102 determines whether or not there are other inspection points (step 513). Specifically, the state estimation unit 102 determines whether or not there are other inspection points at which the measurement value input area 332 is displayed.

[0108] If it is determined in step 513 that there are other inspection points, the state estimation unit 102 returns the process to step 501 . On the other hand, if it is not determined in step 513 that there are other inspection points, the state estimation unit 102 advances the process to FIG.

[0109] 35, the state estimation unit 102 focuses on one inspection point (step 521). Specifically, the state estimation unit 102 focuses on one inspection point among the inspection points displayed in the judgment content selection area 321 on the main part screen 320.

[0110] Next, the state estimation unit 102 judges whether the evaluation value of the judgment content is "5" (step 522). Here, the state estimation unit 102 uses the value input from the judgment content selection area 321 as the evaluation value.

[0111] If it is determined in step 522 that the evaluation value is "5", the state estimation unit 102 sets the inspection point status value to "11" (step 523). Specifically, the state estimation unit 102 sets the inspection point status value corresponding to the inspection point ID of the inspection point focused on in step 521 to "11" in the inspection point status work data 211, and proceeds to the process in step 526. Here, the evaluation value being "5" is an example of the inspection result information being equal to or greater than a predetermined standard. The inspection point status value being "11" is an example of the level of necessity to disassemble and inspect the industrial machine being the first level.

[0112] On the other hand, if it is determined in step 522 that the evaluation value is not "5", the state estimation unit 102 sets the normalized value corresponding to the evaluation value as X2(i) (step 524). Specifically, the state estimation unit 102 searches the evaluation value normalization DB 209 using the inspection point ID of the inspection point focused on in step 521 as a key, and identifies the upper limit value for evaluation value and the lower limit value for evaluation value that satisfy "lower limit value for evaluation value≦evaluation value≦upper limit value for evaluation value". Then, the state estimation unit 102 sets the normalized value corresponding to the upper limit value for evaluation value and the lower limit value for evaluation value as X2(i) in the evaluation value normalization DB 209. In this flowchart, the variable i represents the index of the inspection point focused on in step 521. In other words, the variable i takes any value from 0 to the number of inspection points where the judgment content selection area 321 is displayed.

[0113] Next, the state estimation unit 102 sets X2(i) to the evaluation normalization value (step 525). Specifically, the state estimation unit 102 sets X2(i) to the evaluation normalization value corresponding to the inspection point ID of the inspection point focused on in step 521 in the inspection point state work data 211, and proceeds to step 526.

[0114] After that, the state estimation unit 102 determines whether or not there are other inspection points (step 526). Specifically, the state estimation unit 102 determines whether or not there are other inspection points at which the judgment content selection area 321 is displayed.

[0115] If it is determined in step 526 that there are other inspection points, the state estimation unit 102 returns the process to step 521 . On the other hand, if it is determined in step 526 that there are no other inspection points, the state estimation unit 102 advances the process to FIG.

[0116] 36, the state estimation unit 102 focuses on one inspection point (step 541). Specifically, the state estimation unit 102 focuses on one inspection point among the inspection points displayed in the image input area 322 on the main part screen 320.

[0117] Next, the state estimation unit 102 calculates an image value from the image input to the image input area 322 (step 542). Specifically, the state estimation unit 102 calculates the image value by converting the image input to the image input area 322 into numerical data using a general image processing technique.

[0118] Next, the state estimation unit 102 extracts a previous image value, which is an image value in the previous inspection (step 543). Specifically, the state estimation unit 102 searches the past inspection DB 206 using the inspection point ID of the inspection point focused on in step 541 as a key, and extracts a previous image value. Then, the state estimation unit 102 sets the most recent image value among these past image values ​​as the previous image value.

[0119] Next, the state estimation unit 102 determines in step 543 whether or not there is data relating to the previous inspection (step 544).

[0120] If it is determined in step 544 that data relating to the previous inspection is available, the state estimation unit 102 calculates "current image value-previous image value" to calculate value E (step 545). Here, the state estimation unit 102 uses the value calculated in step 542 as the current image value. The state estimation unit 102 uses the value extracted in step 543 as the previous image value.

[0121] Next, the state estimation unit 102 determines whether the value E is equal to or greater than a threshold value (step 546).

[0122] If it is determined in step 546 that the value E is equal to or greater than the threshold, the state estimation unit 102 sets the inspection point status value to "11" (step 547). Specifically, the state estimation unit 102 sets the inspection point status value corresponding to the inspection point ID of the inspection point focused on in step 541 in the inspection point status work data 211 to "11", and proceeds to the process at step 550. Here, the value E being equal to or greater than the threshold is an example of the inspection result information being equal to or greater than a predetermined standard. The inspection point status value being "11" is an example of the level of necessity to disassemble and inspect the industrial machine being at a first level.

[0123] On the other hand, if it is determined in step 546 that the value E is not equal to or greater than the threshold, the state estimation unit 102 sets the normalized value corresponding to the value E as X3(i) (step 548). Specifically, the state estimation unit 102 searches the image value normalization DB 210 using the inspection point ID of the inspection point focused on in step 541 as a key, and identifies the upper limit value for image values ​​and the lower limit value for image values ​​that satisfy "lower limit value for image values≦E≦upper limit value for image values". Then, the state estimation unit 102 sets the normalized value corresponding to the upper limit value for image values ​​and the lower limit value for image values ​​as X3(i) in the image value normalization DB 210. In this flowchart, the variable i represents the index of the inspection point focused on in step 541. In other words, the variable i takes any value from 0 to the number of inspection points where the image input area 322 is displayed.

[0124] Next, the state estimation unit 102 sets X3(i) to the image normalization value (step 549). Specifically, the state estimation unit 102 sets X3(i) to the image normalization value corresponding to the inspection point ID of the inspection point focused on in step 541 in the inspection point state work data 211, and proceeds to the process in step 550.

[0125] After that, the state estimation unit 102 determines whether or not there are other inspection points (step 550). Specifically, the state estimation unit 102 determines whether or not there are other inspection points where the image input area 322 is displayed.

[0126] If it is determined in step 550 that there are other inspection points, the state estimation unit 102 returns the process to step 541. Alternatively, if it is not determined in step 544 that there is data related to the previous inspection, the state estimation unit 102 also returns the process to step 541. On the other hand, if it is not determined in step 550 that there are other inspection points, the state estimation unit 102 advances the process to FIG.

[0127] Next, as shown in Fig. 37, the state estimation unit 102 focuses on one inspection point (step 601). Specifically, the state estimation unit 102 focuses on one inspection point among the inspection points for which one or more values ​​of X1(i), X2(i), and X3(i) have been calculated in Figs. 34A to 36.

[0128] Next, the state estimation unit 102 calculates X(i) by calculating "X1(i) + X2(i) + X3(i)" (step 602). In this flowchart, the variable i represents the index of the inspection point focused on in step 601. In other words, the variable i takes any value from 0 to the number of inspection points for which one or more values ​​of X1(i), X2(i), and X3(i) have been calculated.

[0129] Next, the state estimation unit 102 acquires the inspection point state value (step 603). Specifically, the state estimation unit 102 searches the inspection point state work data 211 using the inspection point ID of the inspection point focused on in step 601 as a key, and acquires the inspection point state value.

[0130] Next, the state estimation unit 102 determines whether the inspection point state value is "11" (step 604).

[0131] If it is determined in step 604 that the inspection point status value is not "11", the state estimation unit 102 sets the inspection point status value corresponding to X(i) as XX(i) (step 605). Specifically, the state estimation unit 102 searches the inspection point status value DB 212 using the inspection point ID of the inspection point focused on in step 601 as a key, and identifies the inspection point upper limit value and the inspection point lower limit value that satisfy "inspection point lower limit value≦X(i)≦inspection point upper limit value". Then, the state estimation unit 102 sets the inspection point status value corresponding to the inspection point upper limit value and the inspection point lower limit value in the inspection point status value DB 212 as XX(i). Here, it is preferable to set the inspection point status value XX(i) so that it becomes larger as the measurement value, evaluation value, and image value of the inspection point approach a predetermined standard. In that sense, the inspection point status value being XX(i) is an example of the level of necessity for disassembling and inspecting the industrial machine being at a level corresponding to the degree of approach of the inspection result information to the predetermined standard.

[0132] Next, the state estimation unit 102 sets the inspection point state value to XX(i) (step 606). Specifically, the state estimation unit 102 sets XX(i) to the inspection point state value corresponding to the inspection point ID of the inspection point focused on in step 601 in the inspection point state work data 211.

[0133] Next, the state estimation unit 102 sets X(i) to the inspection point integrated value (step 607). Specifically, the state estimation unit 102 sets X(i) to the inspection point integrated value corresponding to the inspection point ID of the inspection point focused on in step 601 in the inspection point state work data 211, and proceeds to the process of step 608. Alternatively, if the state estimation unit 102 determines in step 604 that the inspection point state value is "11", it also proceeds to the process of step 608.

[0134] After that, the state estimation unit 102 determines whether or not there are other inspection points (step 608). Specifically, the state estimation unit 102 determines whether or not there are other inspection points for which one or more values ​​of X1(i), X2(i), and X3(i) have been calculated in Figs. 34A to 36.

[0135] If it is determined in step 608 that there are other points to be inspected, the state estimation unit 102 returns the process to step 601 . On the other hand, if it is not determined in step 608 that there are other inspection points, the state estimation unit 102 advances the process to FIG.

[0136] 38, the state estimation unit 102 focuses on one main part (step 621). Specifically, the state estimation unit 102 focuses on one main part among the main parts for which the inspection results have been input.

[0137] Next, the state estimation unit 102 calculates the number N of inspection points where one or more values ​​of X1(i), X2(i), and X3(i) are set (step 622). Specifically, the state estimation unit 102 searches the inspection point state work data 211 using the inspection point ID group of the inspection point group constituting the main part focused on in step 621 as a key, and calculates the number N of inspection points where one or more values ​​of X1(i), X2(i), and X3(i) are set.

[0138] Next, the state estimation unit 102 extracts the number of required inspection points (step 623). Specifically, the state estimation unit 102 searches the main part DB 202 using the main part ID of the main part focused on in step 621 as a key, and acquires the number of required inspection points.

[0139] Next, the state estimation unit 102 determines whether the number N of inspection points is equal to or greater than the required number of inspection points (step 624).

[0140] If it is determined in step 624 that the number of inspection points N is equal to or greater than the required number of inspection points, then a value X is calculated by summing X(i) for variable i (step 625).

[0141] Next, the state estimation unit 102 sets the main part status value corresponding to the value X as Y(j) (step 626). Specifically, the state estimation unit 102 searches the main part status value DB 214 using the main part ID of the main part focused on in step 621 as a key, and identifies the main part upper limit value and the main part lower limit value that satisfy "main part lower limit value≦Y(j)≦main part upper limit value". Then, the state estimation unit 102 sets the main part status value corresponding to this main part upper limit value and main part lower limit value in the main part status value DB 214 as Y(j). In this flowchart, the variable j represents the index of the main part focused on in step 621. In other words, the variable j takes any value from 0 to the number of main parts for which the inspection results have been input.

[0142] Next, the state estimation unit 102 sets the main part state value to Y(j) (step 627). Specifically, the state estimation unit 102 sets Y(j) to the main part state value corresponding to the main part ID of the main part focused on in step 621 in the main part state work data 213.

[0143] Next, the state estimation unit 102 sets the main part integrated value to X (step 628). Specifically, the state estimation unit 102 sets X to the main part integrated value corresponding to the main part ID of the main part focused on in step 621 in the main part state work data 213, and proceeds to step 629.

[0144] Thereafter, the state estimation unit 102 determines whether or not there are other main parts (step 629). Specifically, the state estimation unit 102 determines whether or not there are other main parts for which inspection results have been input.

[0145] If it is determined in step 629 that there are other main parts, the state estimation unit 102 returns the process to step 621. Alternatively, if it is determined in step 624 that the number N of inspection points is not equal to or greater than the required number of inspection points, the state estimation unit 102 also returns the process to step 621. On the other hand, if it is not determined in step 629 that there are other main parts, the state estimation unit 102 advances the process to FIG.

[0146] Next, as shown in Fig. 39, the state estimation unit 102 focuses on one unit (step 641). Specifically, the state estimation unit 102 focuses on one unit among the units for which the inspection result has been input.

[0147] Next, the state estimation unit 102 calculates the number M of main parts for which the value of Y(j) is set (step 642). Specifically, the state estimation unit 102 searches the main part state work data 213 using the main part ID group of the main parts constituting the unit focused on in step 641 as a key, and calculates the number M of main parts for which the value of Y(j) is set.

[0148] Next, the state estimation unit 102 extracts the number of necessary main parts (step 643). Specifically, the state estimation unit 102 searches the unit DB 202 using the unit ID of the unit focused on in step 641 as a key, and acquires the number of necessary main parts.

[0149] Next, the state estimation unit 102 determines whether the number M of main parts is equal to or greater than the required number of main parts (step 644).

[0150] If it is determined in step 644 that the number of major parts M is equal to or greater than the required number of major parts, then a value Y is calculated by summing Y(j) for the variable j (step 645).

[0151] Next, the state estimation unit 102 sets the unit state value corresponding to the value Y as Z(k) (step 646). Specifically, the state estimation unit 102 searches the unit state value DB 216 using the unit ID of the unit focused on in step 641 as a key, and identifies the unit upper limit value and the unit lower limit value that satisfy "unit lower limit value≦Y(j)≦unit upper limit value". Then, the state estimation unit 102 sets the unit state value corresponding to this unit upper limit value and unit lower limit value in the unit state value DB 216 as Z(k). In this flowchart, the variable k represents the index of the unit focused on in step 641. In other words, the variable k takes any value from 0 to the number of units for which the inspection result has been input.

[0152] Next, the state estimation unit 102 sets Z(k) to the unit state value (step 647). Specifically, the state estimation unit 102 sets Z(k) to the unit state value corresponding to the unit ID of the unit focused on in step 641 in the unit state work data 215.

[0153] Next, the state estimation unit 102 sets the unit integrated value to Y (step 648). Specifically, the state estimation unit 102 sets the unit integrated value corresponding to the unit ID of the unit focused on in step 641 to Y in the unit state work data 215, and proceeds to step 649.

[0154] After that, the state estimation unit 102 judges whether or not there are other units (step 649). Specifically, the state estimation unit 102 judges whether or not there are other units to which the inspection results have been input.

[0155] If it is determined in step 649 that there is another unit, the state estimation unit 102 returns the process to step 641. Alternatively, if it is determined in step 644 that the number M of main parts is not equal to or greater than the required number of main parts, the state estimation unit 102 also returns the process to step 641. On the other hand, if it is determined in step 649 that there is no other unit, the state estimation unit 102 stores the current inspection result in the past inspection DB 206 (step 650), and the process proceeds to FIG. 40A.

[0156] 40A, the state estimation unit 102 extracts unit information (step 661). Specifically, the state estimation unit 102 searches the unit DB 201 using the machine ID of the target production machine as a key, and extracts unit information related to the units that constitute the production machine.

[0157] Next, the state estimation unit 102 focuses on one unit (step 662). Specifically, the state estimation unit 102 focuses on one unit among the units related to the unit information extracted in step 661.

[0158] Next, the state estimation unit 102 extracts state information of the unit (step 663). Specifically, the state estimation unit 102 searches the unit state work data 215 using the unit ID of the unit focused on in step 662 as a key, and extracts the state information of the unit.

[0159] Next, the state estimation unit 102 determines whether or not there is a record of the state information of the unit in step 663 (step 664).

[0160] If it is determined in step 664 that there is a record of unit state information, the state estimation unit 102 acquires the unit state value (step 665). Specifically, the state estimation unit 102 searches the unit state work data 215 using the unit ID of the unit focused on in step 662 as a key, and acquires the unit state value.

[0161] Next, the state estimation unit 102 acquires the unit state name, and arranges the unit state information on the diagnosis result screen 340 based on this unit state name (step 666). Specifically, the state estimation unit 102 searches the unit state value DB 216 using the unit ID of the unit focused on in step 662 and the unit state value acquired in step 665 as keys, and acquires the unit state name. Then, the state estimation unit 102 arranges a circle 344 in the field corresponding to the focused unit and the acquired unit state name on the diagnosis result screen 340.

[0162] Next, the state estimation unit 102 arranges information on the recommended unit on the diagnosis result screen 340 (step 667). Specifically, the state estimation unit 102 searches the recommended unit DB 207 using the machine ID of the target production machine and the unit ID of the unit focused on in step 662 as keys, and acquires the recommended unit ID. Then, the state estimation unit 102 arranges information on the recommended unit identified by the acquired recommended unit ID on the diagnosis result screen 340. Then, the state estimation unit 102 advances the process to step 668. Note that information on the recommended unit is not displayed on the diagnosis result screens 340 and 350 in Figs. 30 to 33.

[0163] On the other hand, if it is determined in step 664 that there is no record of unit status information, the status estimation unit 102 advances the process to step 668 without arranging unit status information and recommended unit information on the diagnosis result screen 340 .

[0164] Next, the state estimation unit 102 extracts main part information (step 668). Specifically, the state estimation unit 102 searches the main part DB 202 using the unit ID of the unit focused on in step 662 as a key, and extracts main part information related to the main parts that constitute the unit.

[0165] Next, the state estimation unit 102 focuses on one main part (step 669). Specifically, the state estimation unit 102 focuses on one main part among the main parts related to the main part information extracted in step 668.

[0166] Next, the state estimation unit 102 extracts state information of the main part (step 670). Specifically, the state estimation unit 102 searches the main part state work data 213 using the main part ID of the main part focused on in step 669 as a key, and extracts the state information of the main part.

[0167] Next, as shown in FIG. 40B, the condition estimation unit 102 determines whether or not there is a record of condition information of the main body part in step 670 (step 671).

[0168] If it is determined in step 671 that there is a record of the main part status information, the state estimation unit 102 acquires the main part status value (step 672). Specifically, the state estimation unit 102 searches the main part status work data 213 using the main part ID of the main part focused on in step 669 as a key, and acquires the main part status value.

[0169] Next, the condition estimation unit 102 acquires the main part condition name, and arranges the main part condition information on the diagnosis result screen 350 based on this main part condition name (step 673). Specifically, the condition estimation unit 102 searches the main part condition value DB 214 using the main part ID of the main part focused on in step 669 and the main part condition value acquired in step 672 as keys, and acquires the main part condition name. Then, the condition estimation unit 102 arranges a circle 354 in the field corresponding to the focused main part and the acquired main part condition name on the diagnosis result screen 350. Then, the condition estimation unit 102 advances the process to step 680.

[0170] On the other hand, if it is determined in step 671 that there is no record of the condition information of the main part, the state estimation unit 102 extracts inspection point information (step 674). Specifically, the state estimation unit 102 searches the inspection point DB 203 using the main part ID of the main part focused on in step 669 as a key, and extracts inspection point information related to the inspection points that constitute the main part.

[0171] Next, the state estimation unit 102 focuses on one inspection point (step 675). Specifically, the state estimation unit 102 focuses on one main part among the inspection points related to the inspection point information extracted in step 674.

[0172] Next, the state estimation unit 102 extracts state information of the inspection point (step 676). Specifically, the state estimation unit 102 searches the inspection point state work data 211 using the main part ID of the main part focused on in step 669 and the inspection point ID of the inspection point focused on in step 675 as keys, and extracts the state information of the inspection point.

[0173] Next, the state estimation unit 102 determines whether or not there is a record of the state information of the inspection point in step 676, and whether or not there is a record with the inspection point state value being "11" among those records (step 677).

[0174] If it is determined in step 677 that there is a record with the inspection point status value of "11", the state estimation unit 102 acquires the inspection point status name and places emergency information on the diagnosis result screens 340 and 350 based on this inspection point status name (step 678). Specifically, the state estimation unit 102 searches the inspection point status value DB 212 using the main part ID of the main part focused on in step 669, the inspection point ID of the inspection point focused on in step 675, and the inspection point status value "11" extracted in step 677 as keys, and acquires the inspection point status name. Then, the state estimation unit 102 places a circle mark 344 in the field corresponding to the focused unit and the acquired inspection point status name on the diagnosis result screen 340. Furthermore, the state estimation unit 102 places a double circle mark 355 in place of the circle mark 354 in the field corresponding to the focused main part and the acquired inspection point status name on the diagnosis result screen 350. Then, the state estimation unit 102 advances the process to step 679. On the other hand, if it is determined in step 677 that there is no record with the inspection point status value “11”, the status estimation unit 102 advances the process to step 679 .

[0175] Thereafter, the state estimation unit 102 determines whether or not there are other inspection points (step 679). Specifically, the state estimation unit 102 determines whether or not there are other inspection points among the inspection points related to the inspection point information extracted in step 674.

[0176] If it is determined in step 679 that there are other inspection points, the state estimation unit 102 returns the process to step 675 . On the other hand, if it is determined in step 679 that there are no other inspection points, the state estimation unit 102 advances the process to step 680.

[0177] Thereafter, the state estimation unit 102 determines whether or not there are other main parts (step 680). Specifically, the state estimation unit 102 determines whether or not there are other main parts among the main parts related to the main part information extracted in step 668.

[0178] If it is determined in step 680 that there are other main parts, the state estimation unit 102 returns the process to step 669 . On the other hand, if it is determined in step 680 that there are no other main parts, the state estimation unit 102 advances the process to step 681 .

[0179] After that, the state estimation unit 102 judges whether or not there are other units (step 681). Specifically, the state estimation unit 102 judges whether or not there are other units among the units related to the unit information extracted in step 662.

[0180] If it is determined in step 681 that there is another unit, the state estimation unit 102 returns the process to step 662 . On the other hand, if it is not determined in step 681 that there is another unit, the state estimation unit 102 ends the process.

[0181] Moreover, when the “display work list” button 346 is pressed on the diagnosis result screen 340 of FIG. 30 or FIG.

[0182] FIG. 41 is a diagram showing a work list screen 360. In the maintenance work support device 100, the work content determination unit 103 creates the work list screen 360. The work list screen 360 includes a unit display area 361, a main part display area 362, an inspection point display area 363, and a work content display area 364. The unit display area 361 is an area for displaying the unit name of a unit constituting a target production goods machine. The main part display area 362 is an area for displaying the main part name of a main part constituting a corresponding unit. The inspection point display area 363 is an area for displaying the inspection point name of an inspection point constituting a corresponding main part. The work content display area 364 is an area for displaying the work content of an overhaul inspection to be performed for the corresponding inspection point.

[0183] 42 to 44 are flowcharts showing an example of the operation of the work content determination unit 103 when creating a work list screen 360. This example of the operation starts when the "display work list" button 346 is pressed on the diagnosis result screen 340 of FIG.

[0184] 42, the work content determination unit 103 reads one record from the inspection point status work data 211 (step 701). Specifically, the work content determination unit 103 searches the inspection point status work data 211 and reads one record therein.

[0185] Next, the work content determination unit 103 extracts the inspection point status value (step 702). Specifically, the work content determination unit 103 extracts the inspection point status value from the record read in step 701.

[0186] Next, the work content determination unit 103 extracts a work content ID (step 703). Specifically, the work content determination unit 103 searches the inspection location work DB 219 using the inspection location status value extracted in step 702 and the main part ID and inspection location ID included in the record read in step 701 as keys, and extracts a work content ID.

[0187] Next, the work content determination unit 103 judges whether or not there are other records (step 704). Specifically, the work content determination unit 103 judges whether or not there are unprocessed records in the inspection point status work data 211.

[0188] If it is determined in step 704 that there is another record, the work content determination section 103 returns the process to step 701 . On the other hand, if it is determined in step 704 that there are no other records, the work content determination unit 103 extracts a first work content information group (step 705). Specifically, the work content determination unit 103 searches the work content DB 220 using the work content ID group extracted in step 703 as a key, and extracts a work content information group including the work content, etc. as the first work content information group. Then, the work content determination unit 103 advances the process to Fig. 43.

[0189] 43, the work content determination unit 103 reads one record from the main part status work data 213 (step 721). Specifically, the work content determination unit 103 searches the main part status work data 213 and reads one record therein.

[0190] Next, the work content determination unit 103 extracts the main part status values ​​(step 722). Specifically, the work content determination unit 103 extracts the main part status values ​​from the record read in step 721.

[0191] Next, the work content determination unit 103 extracts a work content ID (step 723). Specifically, the work content determination unit 103 searches the main part work DB 218 using the main part status value extracted in step 722 and the main part ID included in the record read in step 721 as keys, and extracts the work content ID.

[0192] Next, the work content determination unit 103 judges whether or not there are other records (step 724). Specifically, the work content determination unit 103 judges whether or not there are any unprocessed records in the main part state work data 213.

[0193] If it is determined in step 724 that there is another record, the work content determination section 103 returns the process to step 721 . On the other hand, if it is determined in step 724 that there are no other records, the work content determination unit 103 extracts a second work content information group (step 725). Specifically, the work content determination unit 103 searches the work content DB 220 using the work content ID group extracted in step 723 as a key, and extracts a work content information group including the work content, etc. as the second work content information group. Then, the work content determination unit 103 advances the process to Fig. 44.

[0194] 44, the work content determination unit 103 reads one record from the unit status work data 215 (step 741). Specifically, the work content determination unit 103 searches the unit status work data 215 and reads one record therefrom.

[0195] Next, the work content determination unit 103 extracts the unit status value (step 742). Specifically, the work content determination unit 103 extracts the unit status value from the record read in step 741.

[0196] Next, the work content determination unit 103 extracts a work content ID (step 743). Specifically, the work content determination unit 103 searches the unit task DB 217 using the unit status value extracted in step 742 and the unit ID included in the record read in step 741 as keys, and extracts the work content ID.

[0197] Next, the work content determination unit 103 judges whether or not there are other records (step 744). Specifically, the work content determination unit 103 judges whether or not there are any unprocessed records in the unit status work data 215.

[0198] If it is determined in step 744 that there is another record, the work content determination section 103 returns the process to step 741 . On the other hand, if it is determined in step 744 that there are no other records, the work content determination unit 103 extracts a third work content information group (step 745). Specifically, the work content determination unit 103 searches the work content DB 220 using the work content ID group extracted in step 743 as a key, and extracts a work content information group including the work content, etc. as the third work content information group.

[0199] Thereafter, the work content determination unit 103 arranges the first work content information group, the second work content information group, and the third work content information group on the work list screen 360 (step 746). Specifically, the work content determination unit 103 performs OR processing on the first work content information group extracted in step 705, the second work content information group extracted in step 725, and the third work content information group extracted in step 745. Then, the work content determination unit 103 determines the result of this OR processing as the work content information group and arranges this on the work list screen 360. Then, the work content determination unit 103 ends the processing.

[0200] Moreover, when the “Refine Search 1” button 365 is pressed on the task list screen 360 of FIG.

[0201] 45 is a diagram showing a task search screen 370. In the maintenance work support device 100, the task content determination unit 103 creates the task search screen 370. The task search screen 370 includes refinement condition input areas 371, 372, an "Execute search" button 375, a unit display area 376, a main part display area 377, an inspection location display area 378, and a task content display area 379. Here, information is displayed in the unit display area 376, the main part display area 377, the inspection location display area 378, and the task content display area 379 of the task search screen 370, but no information is displayed immediately after startup.

[0202] 45, a narrowing down condition based on a status value is input in narrowing down condition input area 371, and a narrowing down condition based on the degree of performance impact is input in narrowing down condition input area 372. When a "Search execution" button 375 is pressed in this state, tasks that satisfy the narrowing down conditions are displayed as search results in unit display area 376, main part display area 377, inspection location display area 378, and task content display area 379 on task search screen 370.

[0203] In FIG. 45, the narrowing conditions are input by checking several consecutive checkboxes from the top in the narrowing condition input areas 371 and 372. This is because it is difficult to imagine checking the second or subsequent checkboxes from the top without checking the topmost checkbox or two or more consecutive checkboxes from the top. In the narrowing condition input area 371, for example, it is difficult to imagine checking only the "overhaul inspection required" checkbox or only the "observation required" checkbox. In the narrowing condition input area 372, for example, it is difficult to imagine checking only the "medium" checkbox or only the "small" checkbox. However, when the second or subsequent checkboxes from the top are checked without checking the topmost checkbox or two or more consecutive checkboxes from the top, it may be processed as if all checkboxes above them are checked.

[0204] When the “Refine Search 2” button 366 is pressed on the task list screen 360 of FIG.

[0205] 46 is a diagram showing a task search screen 380. In the maintenance work support device 100, the task content determination unit 103 creates the task search screen 380. The task search screen 380 includes a refinement condition input area 381, an "Execute search" button 385, a unit display area 386, a main part display area 387, an inspection location display area 388, and a task content display area 389. Here, information is displayed in the unit display area 386, the main part display area 387, the inspection location display area 388, and the task content display area 389 of the task search screen 380, but no information is displayed immediately after startup.

[0206] 46, a narrowing down condition based on worker skills is input in narrowing down condition input area 381. When a "Search" button 385 is pressed in this state, tasks that satisfy the narrowing down condition are displayed as search results in unit display area 386, main part display area 387, inspection location display area 388, and task content display area 389 on task search screen 380.

[0207] When the “Refine Search 3” button 367 is pressed on the task list screen 360 in FIG.

[0208] 47 is a diagram showing a task search screen 390. In the maintenance work support device 100, the task content determination unit 103 creates the task search screen 390. The task search screen 390 includes refinement condition input areas 391, 392, 393, a budget input field 394, an "Execute search" button 395, a unit display area 396, a main part display area 397, an inspection location display area 398, and a task content display area 399. Here, information is displayed in the unit display area 396, the main part display area 397, the inspection location display area 398, and the task content display area 399 of the task search screen 390, but no information is displayed immediately after startup.

[0209] 47, a narrowing down condition based on a status value is input in narrowing down condition input area 391, a narrowing down condition based on the degree of impact on performance is input in narrowing down condition input area 392, and a narrowing down condition based on worker skill is input in narrowing down condition input area 393. Also, assume that a budget that can be invested in an overhaul inspection is input in budget input field 394. When a "Search" button 395 is pressed in this state, works that satisfy the narrowing down conditions and can be performed within the budget are displayed as search results in unit display area 396, main part display area 397, inspection location display area 398, and work content display area 399 on work search screen 390.

[0210] In FIG. 47, the narrowing conditions are input by checking several consecutive checkboxes from the top in the narrowing condition input areas 391 and 392. This is because it is difficult to imagine checking the second checkbox from the top without checking the topmost checkbox or two or more consecutive checkboxes from the top. In the narrowing condition input area 391, for example, it is difficult to imagine checking only the "overhaul inspection required" checkbox or only the "observation required" checkbox. In the narrowing condition input area 392, for example, it is difficult to imagine checking only the "medium" checkbox or only the "small" checkbox. However, if the second checkbox from the top is checked without checking the topmost checkbox or two or more consecutive checkboxes from the top, it may be processed as if all checkboxes above it are checked.

[0211] Fig. 48 is a flowchart showing an example of the operation of the work content determination unit 103 when searching for a work on the work search screen 370 of Fig. 45. This example of operation starts when the "Execute search" button 375 on the work search screen 370 of Fig. 45 is pressed.

[0212] 48, the work content determination unit 103 acquires a work content information group (step 801). Specifically, the work content determination unit 103 acquires a work content information group that is a result of OR processing the first work content information group, the second work content information group, and the third work content information group in step 746.

[0213] Next, the work content determination unit 103 reads out one piece of work content information from the work content information group (step 802). Specifically, the work content determination unit 103 searches the work content information group acquired in step 801, and reads out one piece of work content information therefrom.

[0214] Next, the work content determination unit 103 extracts the inspection location status value (step 803). Specifically, the work content determination unit 103 searches the inspection location status work data 211 using the inspection location ID in the work content information read in step 802 as a key, and if a hit is found, extracts the inspection location status value from the hit record.

[0215] Next, the work content determination unit 103 judges whether the inspection location status value is greater than a first threshold value (step 804). Specifically, the work content determination unit 103 judges whether the inspection location status value extracted in step 803 is greater than a first threshold value input as a narrowing-down condition by a status value in the narrowing-down condition input area 371 of the work search screen 370. In FIG. 45, the first threshold value corresponds to a status value of "disassembly inspection required". However, the judgment of whether the inspection location status value is greater than the first threshold value may be a judgment of whether the inspection location status value satisfies a predetermined condition. In that sense, the judgment that the inspection location status value is greater than the first threshold value is an example of the judgment that the state of the industrial machine satisfies a predetermined condition.

[0216] If it is determined in step 804 that the inspection point status value is greater than the first threshold, the work content determination unit 103 extracts the degree of performance impact (step 805). Specifically, the work content determination unit 103 extracts the degree of performance impact in the work content information read in step 802.

[0217] Next, the work content determination unit 103 judges whether the performance impact degree is greater than a second threshold value (step 806). Specifically, the work content determination unit 103 judges whether the performance impact degree extracted in step 805 is greater than a second threshold value input as a filtering condition by the performance impact degree in the filtering condition input area 372 of the work search screen 370. In FIG. 45, the second threshold value corresponds to a "medium" performance impact degree. However, the judgment of whether the performance impact degree is greater than the second threshold value may be a judgment of whether the performance impact degree satisfies a predetermined condition. In that sense, the judgment that the performance impact degree is greater than the second threshold value is an example of the judgment that the influence on the performance improvement of the industrial machine satisfies a predetermined condition.

[0218] If it is determined in step 806 that the degree of performance impact is greater than the second threshold, the work content determination unit 103 extracts a recommended inspection period (step 807). Specifically, the work content determination unit 103 extracts the recommended inspection period in the work content information read in step 802.

[0219] Next, the work content determination unit 103 calculates the number of elapsed days P by calculating "current date - previous inspection date" (step 808). Specifically, the work content determination unit 103 searches the past inspection DB 221 using the work content ID in the work content information read in step 802 as a key, and extracts the past inspection date. Then, the work content determination unit 103 sets the most recent inspection date among these past inspection dates as the previous inspection date. Then, the work content determination unit 103 calculates the number of elapsed days P by subtracting this previous inspection date from the current date.

[0220] Next, the work content determination unit 103 determines whether the number of elapsed days P is greater than the recommended inspection cycle (step 809). Specifically, the work content determination unit 103 determines whether the number of elapsed days P calculated in step 808 is greater than the recommended inspection cycle extracted in step 807.

[0221] If it is determined in step 809 that the number of elapsed days P is greater than the recommended inspection cycle, the work content determination unit 103 internally holds the work content information being processed (step 810). Specifically, the work content determination unit 103 internally holds the work content information read in step 802 as valid work content information, and proceeds to step 811.

[0222] On the other hand, if it is not determined in step 804 that the inspection location status value is greater than the first threshold, the work content determination unit 103 advances the process to step 811 without internally storing the work content information being processed. Also, if it is not determined in step 806 that the degree of performance impact is greater than the second threshold, the work content determination unit 103 also advances the process to step 811 without internally storing the work content information being processed. Furthermore, if it is not determined in step 809 that the number of elapsed days P is greater than the recommended inspection period, the work content determination unit 103 also advances the process to step 811 without internally storing the work content information being processed.

[0223] After that, the work content determination unit 103 determines whether there is other work content information (step 811). Specifically, the work content determination unit 103 determines whether there is other unprocessed work content information in the work content information group extracted in step 801.

[0224] If it is determined in step 811 that there is other work content information, the work content determination unit 103 returns the process to step 802 . On the other hand, if it is determined in step 811 that there is no other work content information, the internally held work content information group is arranged on the work search screen 370 (step 812). Specifically, the work content determination unit 103 determines the work content information internally held in step 810 as the work content information group of the search result, and arranges this on the work search screen 370. Then, the work content determination unit 103 ends the processing.

[0225] Fig. 49 is a flowchart showing an example of the operation of the work content determination unit 103 when searching for a work on the work search screen 380 of Fig. 46. This example of operation starts when the "Execute search" button 385 on the work search screen 380 of Fig. 46 is pressed.

[0226] 49, the work content determination unit 103 acquires a work content information group (step 821). Specifically, the work content determination unit 103 acquires a work content information group that is a result of OR processing the first work content information group, the second work content information group, and the third work content information group in step 746.

[0227] Next, the work content determination unit 103 reads out one piece of work content information from the work content information group (step 822). Specifically, the work content determination unit 103 searches the work content information group acquired in step 821, and reads out one piece of work content information therefrom.

[0228] Next, the work content determining unit 103 extracts a required skill level (step 823). Specifically, the work content determining unit 103 extracts the required skill level in the work content information read out in step 822.

[0229] Next, the work content determination unit 103 determines whether the required skill level satisfies a first condition (step 824). Specifically, the work content determination unit 103 determines whether the required skill level extracted in step 823 satisfies a first condition input as a narrowing-down condition by worker skill in the narrowing-down condition input area 381 of the work search screen 380. In FIG. 46, the first condition corresponds to a condition that the required skill level is "no level specified" or "beginner level." Determining that the required skill level satisfies the first condition is an example of determining that the required work skill satisfies a predetermined condition.

[0230] If it is determined in step 824 that the required skill level satisfies the first condition, the work content determination unit 103 internally holds the work content information being processed (step 825). Specifically, the work content determination unit 103 internally holds the work content information read in step 822 as valid work content information, and proceeds to step 826.

[0231] On the other hand, if it is determined in step 824 that the required skill level does not satisfy the first condition, the work content determining section 103 advances the process to step 826 without internally holding the work content information being processed.

[0232] After that, the work content determination unit 103 determines whether there is other work content information (step 826). Specifically, the work content determination unit 103 determines whether there is other unprocessed work content information in the work content information group extracted in step 821.

[0233] If it is determined in step 826 that there is other work content information, the work content determination section 103 returns the process to step 822 . On the other hand, if it is determined in step 826 that there is no other work content information, the internally held work content information group is arranged on the work search screen 380 (step 827). Specifically, the work content determination unit 103 determines the work content information internally held in step 825 as the work content information group of the search result, and arranges this on the work search screen 380. Then, the work content determination unit 103 ends the processing.

[0234] 50A and 50B are flowcharts showing an example of the operation of the work content determination unit 103 when searching for a work on the work search screen 390 of Fig. 47. This example of operation starts when the "Execute search" button 395 on the work search screen 390 of Fig. 47 is pressed.

[0235] 50A, the work content determination unit 103 acquires a work content information group (step 841). Specifically, the work content determination unit 103 acquires a work content information group that is a result of OR processing the first work content information group, the second work content information group, and the third work content information group in step 746.

[0236] Next, the work content determination unit 103 reads out one piece of work content information from the work content information group (step 842). Specifically, the work content determination unit 103 searches the work content information group acquired in step 841, and reads out one piece of work content information from the group.

[0237] Next, the work content determination unit 103 extracts the inspection point status value (step 843). Specifically, the work content determination unit 103 searches the inspection point status work data 211 using the inspection point ID in the work content information read in step 842 as a key, and if a hit is found, extracts the inspection point status value from the hit record.

[0238] Next, the work content determination unit 103 judges whether the inspection location status value is greater than the first threshold value (step 844). Specifically, the work content determination unit 103 judges whether the inspection location status value extracted in step 843 is greater than the first threshold value input as a narrowing-down condition by status value in the narrowing-down condition input area 391 of the work search screen 390. In FIG. 47, the first threshold value corresponds to the status value of "disassembly inspection required". However, the judgment of whether the inspection location status value is greater than the first threshold value may be a judgment of whether the inspection location status value satisfies a predetermined condition. In that sense, the judgment that the inspection location status value is greater than the first threshold value is an example of the judgment that the state of the industrial machine satisfies a predetermined condition.

[0239] If it is determined in step 844 that the inspection point status value is greater than the first threshold, the work content determination unit 103 extracts the degree of performance impact (step 845). Specifically, the work content determination unit 103 extracts the degree of performance impact in the work content information read in step 842.

[0240] Next, the work content determination unit 103 judges whether the performance impact degree is greater than a second threshold value (step 846). Specifically, the work content determination unit 103 judges whether the performance impact degree extracted in step 845 is greater than a second threshold value input as a narrowing condition by the performance impact degree in the narrowing condition input area 392 of the work search screen 390. In FIG. 47, the second threshold value corresponds to a "medium" performance impact degree. However, the judgment of whether the performance impact degree is greater than the second threshold value may be a judgment of whether the performance impact degree satisfies a predetermined condition. In that sense, the judgment that the performance impact degree is greater than the second threshold value is an example of the judgment that the influence on the performance improvement of the industrial machine satisfies a predetermined condition.

[0241] If it is determined in step 846 that the degree of performance impact is greater than the second threshold, the work content determination unit 103 extracts a recommended inspection period (step 847). Specifically, the work content determination unit 103 extracts the recommended inspection period in the work content information read in step 842.

[0242] Next, the work content determination unit 103 calculates the number of elapsed days P by calculating "current date - previous inspection date" (step 848). Specifically, the work content determination unit 103 searches the past inspection DB 221 using the work content ID in the work content information read in step 842 as a key, and extracts the past inspection date. Then, the work content determination unit 103 sets the most recent inspection date among these past inspection dates as the previous inspection date. Then, the work content determination unit 103 calculates the number of elapsed days P by subtracting this previous inspection date from the current date.

[0243] Next, the work content determination unit 103 determines whether the number of elapsed days P is greater than the recommended inspection cycle (step 849). Specifically, the work content determination unit 103 determines whether the number of elapsed days P calculated in step 848 is greater than the recommended inspection cycle extracted in step 847.

[0244] If it is determined in step 849 that the number of elapsed days P is greater than the recommended examination period, the work content determining unit 103 extracts a required skill level (step 850). Specifically, the work content determining unit 103 extracts the required skill level in the work content information read in step 842.

[0245] Next, as shown in FIG. 50B, the work content determination unit 103 determines whether the required skill level satisfies a first condition (step 851). Specifically, the work content determination unit 103 determines whether the required skill level extracted in step 850 satisfies a first condition input as a narrowing-down condition by worker skill in the narrowing-down condition input area 393 of the work search screen 390. In FIG. 47, the first condition corresponds to a condition that the required skill level is "no level specified" or "beginner level." Determining that the required skill level satisfies the first condition is an example of determining that the required work skill satisfies a predetermined condition.

[0246] If it is determined in step 851 that the required skill level satisfies the first condition, the work content determination unit 103 internally holds the work content information being processed (step 852). Specifically, the work content determination unit 103 internally holds the work content information read in step 842 as valid work content information, and proceeds to step 853.

[0247] On the other hand, if it is not determined in step 844 that the inspection location status value is greater than the first threshold, the work content determination unit 103 advances the process to step 853 without internally storing the work content information being processed. Also, if it is not determined in step 846 that the performance impact degree is greater than the second threshold, the work content determination unit 103 also advances the process to step 853 without internally storing the work content information being processed. Furthermore, if it is not determined in step 849 that the number of elapsed days P is greater than the recommended inspection period, the work content determination unit 103 also advances the process to step 853 without internally storing the work content information being processed. Furthermore, if it is not determined in step 851 that the required skill level satisfies the first condition, the work content determination unit 103 also advances the process to step 853 without internally storing the work content information being processed.

[0248] After that, the work content determination unit 103 determines whether there is other work content information (step 853). Specifically, the work content determination unit 103 determines whether there is other unprocessed work content information in the work content information group extracted in step 841.

[0249] If it is determined in step 853 that there is other work content information, the work content determination unit 103 returns the process to step 842 . On the other hand, if it is not determined in step 853 that there is other work content information, a necessary cost group corresponding to the internally held work content information group is extracted (step 854). Specifically, the work content determination unit 103 searches the work content DB 220 using the work content ID in the work content information as a key for each piece of work content information in the work content information group internally held in step 852, and extracts the necessary cost. Then, the work content determination unit 103 extracts a necessary cost group consisting of the necessary costs for each piece of work content information.

[0250] Next, the work content determination unit 103 adds up the necessary costs to obtain the total cost Q (step 855). Specifically, the work content determination unit 103 calculates the total cost Q by adding up the necessary costs extracted in step 854.

[0251] Next, the work content determination unit 103 determines whether or not the total cost Q satisfies a second condition (step 856). Specifically, the work content determination unit 103 determines whether or not the total cost Q calculated in step 855 satisfies a second condition related to the budget that can be invested in the overhaul inspection input in the budget input field 394 of the work search screen 390. In FIG. 47, the second condition corresponds to the condition that the necessary cost is equal to or less than the budget input in the budget input field 394. Determining that the necessary cost satisfies the second condition is an example of determining that the necessary work cost satisfies a predetermined condition.

[0252] If it is determined in step 856 that the total cost Q satisfies the second condition, the work content determination unit 103 arranges the internally held work content information on the work search screen 390 (step 863). Specifically, the work content determination unit 103 determines the work content information group internally held in step 852 as the work content information group of the search result, and arranges this on the work search screen 390.

[0253] On the other hand, if it is determined in step 856 that the total cost Q does not satisfy the second condition, the work content determining unit 103 determines whether the previous first threshold has not been set (step 857). Here, the previous first threshold is the first threshold used in step 844 in the previous loop of steps 841 to 862.

[0254] If it is determined in step 857 that the previous first threshold has not been set, the work content determining unit 103 sets the first threshold as the previous first threshold (step 858). Here, the first threshold is the first threshold used in step 844 in the current loop of steps 841 to 862. Next, the work content determination unit 103 adds "1" to the first threshold (step 859). Specifically, the work content determination unit 103 increases the first threshold used in step 844 in the next loop of steps 841 to 862 by "1". However, if the first threshold before adding "1" is greater than "2" and less than "11", the work content determination unit 103 sets the first threshold to "11". Then, the work content determination unit 103 advances the process to step 862.

[0255] On the other hand, if it is not determined in step 857 that the first threshold was not set previously, the work content determining unit 103 adds "1" to the second threshold (step 860). Here, the second threshold is the second threshold used in step 846 in the current loop of steps 841 to 862. Specifically, the work content determining unit 103 increases the second threshold used in step 846 in the next loop of steps 841 to 862 by "1". Next, the work content determination unit 103 sets the previous first threshold to "unset" (step 861). Then, the work content determination unit 103 advances the process to step 862.

[0256] Thereafter, the work content determination unit 103 determines whether or not the first threshold is greater than "11" (step 862). Specifically, the work content determination unit 103 determines whether or not the first threshold has become greater than "11" by adding "1" to the first threshold in step 859.

[0257] If it is not determined in step 862 that the first threshold value is greater than “11”, the work content determining unit 103 returns the process to step 841 . On the other hand, if it is determined in step 862 that the first threshold is greater than "11", the work content determination unit 103 arranges the internally held work content information group on the work search screen 390 (step 863). Specifically, the work content determination unit 103 determines the work content information internally held in step 852 as the work content information group of the search result, and arranges this on the work search screen 390. However, when the work content information group arranged here is carried out, the total cost Q does not satisfy the second condition, so the work content determination unit 103 may arrange a message to that effect on the work search screen 370.

[0258] [Variations] In the above description, the maintenance work support device 100 receives information inputted at the terminal device 300 via a communication network, and transmits information to be displayed at the terminal device 300 via the communication network, but this is not limited thereto. The maintenance work support device 100 may accept information inputted at an input device connected to the device itself, and output the information to an output device connected to the device itself.

[0259] [Advantages of this embodiment] By using the system of this embodiment, even workers with little work experience can propose the necessity and contents of detailed overhaul inspection of industrial machinery according to the customer's request. As a result, it is expected that the maintenance cost and operational production loss of the owner of the industrial machinery will be minimized. [Explanation of symbols]

[0260] 1... maintenance work support system, 100... maintenance work support device, 101... receiving unit, 102... state estimation unit, 103... work content determination unit, 104... transmitting unit, 200... database, 300... terminal device

Claims

1. a reception unit that receives inspection result information indicating a result of an inspection of the industrial machine that was carried out at an installation site of the industrial machine without disassembling the industrial machine; an estimation unit that estimates a state of the industrial machine regarding the necessity of disassembling and inspecting the industrial machine based on the inspection result information received by the reception unit; A maintenance work support device comprising:

2. The maintenance work support device according to claim 1 , further comprising an output unit that outputs input support information that supports input of the inspection result information received by the reception unit.

3. The maintenance work support device according to claim 1 , wherein the reception unit receives quantitative information and qualitative information as the inspection result information.

4. The reception unit receives image data of an inspection point as the qualitative information, The maintenance work support device according to claim 3 , wherein the estimation unit acquires an image value obtained by digitizing the image data received by the reception unit, and estimates the state of the industrial machine based on the image value.

5. 2. The maintenance work support device according to claim 1, wherein the estimation unit estimates, when the inspection result information is equal to or greater than a predetermined standard, that the state of the industrial machine is a state in which the level of necessity is a first level.

6. 6. The maintenance work support device according to claim 5, wherein when the inspection result information is not equal to or greater than the predetermined standard, if the inspection result information is predicted to exceed the predetermined standard during continuous operation of the industrial machine, the estimation unit estimates, as the state of the industrial machine, a state in which the level of necessity is equal to the first level or a second level lower than the first level.

7. 6. The maintenance work support device according to claim 5, wherein, when the inspection result information is not equal to or greater than the predetermined standard, the estimation unit estimates, as the state of the industrial machine, a state in which the level of necessity is at a level corresponding to the degree of approach of the inspection result information to the predetermined standard.

8. 2. The maintenance work support device according to claim 1, further comprising a determination unit that determines work details to be performed when disassembling and inspecting the industrial machine based on the state of the industrial machine estimated by the estimation unit.

9. The maintenance work support device according to claim 8 , wherein the determination unit determines the work content such that the state of the industrial machine estimated by the estimation unit satisfies a predetermined condition.

10. The maintenance work support device according to claim 8 , wherein the determination unit determines the work content such that an effect on performance improvement of the industrial machine satisfies a predetermined condition.

11. The maintenance work support device according to claim 8 , wherein the determination unit determines the work content in which a required work skill satisfies a predetermined condition.

12. The maintenance work support device according to claim 8 , wherein the determination unit determines the work content such that a required work cost satisfies a predetermined condition.

13. A step in which a reception unit of a computer receives inspection result information indicating a result of an inspection of the industrial machine that was performed at an installation site of the industrial machine without disassembling the industrial machine; an estimation unit of a computer estimating a state of the industrial machine related to the necessity of disassembling and inspecting the industrial machine based on the received inspection result information; A method for supporting maintenance operations, comprising:

14. On the computer, A function of receiving inspection result information indicating a result of an inspection of the industrial machine performed at an installation location of the industrial machine without disassembling the industrial machine; a function of estimating a state of the industrial machine regarding the necessity of disassembling and inspecting the industrial machine based on the received inspection result information; A program to achieve this.

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