WO2022044140A1 - データ分析システム - Google Patents

データ分析システム Download PDF

Info

Publication number
WO2022044140A1
WO2022044140A1 PCT/JP2020/032085 JP2020032085W WO2022044140A1 WO 2022044140 A1 WO2022044140 A1 WO 2022044140A1 JP 2020032085 W JP2020032085 W JP 2020032085W WO 2022044140 A1 WO2022044140 A1 WO 2022044140A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
application
profile
platform
analysis system
Prior art date
Application number
PCT/JP2020/032085
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
英松 林
督 那須
Original Assignee
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to PCT/JP2020/032085 priority Critical patent/WO2022044140A1/ja
Priority to JP2021500762A priority patent/JP6952928B1/ja
Priority to CN202080100469.6A priority patent/CN115516396A/zh
Publication of WO2022044140A1 publication Critical patent/WO2022044140A1/ja

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring

Definitions

  • This disclosure relates to a data analysis system that analyzes data output from equipment installed at a production site.
  • Patent Document 1 describes between machines such as industrial robots, machine tools, and measuring instruments at production sites, work software that creates instruction information for machines based on information output from the machines, and machines and work software. Describes the machine system that includes the base software that exchanges information in.
  • Patent Document 1 has a single work software that analyzes information and creates instruction information, but usually, a plurality of applications that analyze data (information) are installed at a production site. exist.
  • the data to be analyzed differs depending on the application. Therefore, it is necessary to set a data transfer route in advance so that necessary data can be exchanged between a plurality of applications and each device that outputs data. In other words, it is necessary to set in advance which data output by which device is passed to which application by what route.
  • the configuration is changed due to the addition of an application, it is necessary to change the data transfer route setting according to the changed configuration.
  • the data transfer route is set by the worker in charge of system construction, maintenance, etc., and the workload is heavy. Also, as the number of machines and applications that make up a system increases, so does the path that can be set between the machine and the application, resulting in an increase in workload. Under these circumstances, it is desired to realize a system that can reduce the workload required for setting the data transfer path.
  • the present disclosure has been made in view of the above, and an object of the present disclosure is to obtain a data analysis system capable of reducing the work load related to the setting of a data transfer route.
  • the data analysis system is installed at the production site, and the equipment is connected to the equipment that holds the profile that describes the location of the data output by itself. It is provided with an application unit including an application for acquiring and processing data via the platform. The application sets the acquisition route to acquire the data via the platform based on the profile.
  • the data analysis system according to the present disclosure has the effect of reducing the workload related to the setting of the data transfer route.
  • the figure which shows the structural example of the data analysis system which concerns on Embodiment 1. A diagram showing an example of information registered in a profile held by an industrial device. A diagram for explaining a configuration example of a profile held by an industrial device. A flowchart showing an example of the operation of the data analysis system according to the first embodiment. A diagram showing an example of information about the data output by the industrial equipment contained in the profile held by the industrial equipment. The figure which shows the outline of the operation of the data analysis system which concerns on Embodiment 1.
  • the figure which shows the structural example of the data analysis system which concerns on Embodiment 2. A diagram showing a configuration example of a data model managed by the data model management unit.
  • a flowchart showing an example of the operation of the data analysis system according to the second embodiment The figure which shows an example of the screen displayed by the application of the data analysis system which concerns on Embodiment 2. The figure which shows the structural example of the data analysis system which concerns on Embodiment 3. A flowchart showing an example of an operation in which the data analysis system according to the third embodiment orders replacement parts. The figure which shows an example of the hardware which realizes the platform of the data analysis system which concerns on Embodiment 1.
  • FIG. 1 is a diagram showing a configuration example of the data analysis system 100 according to the first embodiment.
  • one or more industrial devices 1 which are devices such as FA (Factory Automation) devices and processing machines used at a production site, and each of the industrial devices 1 are connected to each other. It includes a platform 2 and an application unit 3 that processes data output from an industrial device 1.
  • FA Vectory Automation
  • Platform 2 is a data processing platform consisting of software that collects data output from industrial equipment 1 and passes it to application unit 3 and feeds back the data processing result by application unit 3 to industrial equipment 1.
  • the platform 2 can hold the data collected from the industrial device 1 and pass it when a request is received from the application unit 3, or the application unit immediately after collecting the data from the industrial device 1. It is also possible to hand over to 3.
  • the platform 2 includes a connected device recognition unit 21 that recognizes when the industrial device 1 is connected, and a data collection unit 22 that collects data from the connected industrial device 1.
  • the platform 2 has a storage unit for holding data collected from the industrial device 1.
  • the storage unit classifies and holds the data collected from the industrial device 1 for each industrial device 1. That is, the storage unit has a storage area reserved for each industrial device 1 because the collection source industrial device 1 collectively holds each data in the same device.
  • This storage area is referred to as a folder in the following description.
  • the platform 2 detects that the industrial device 1 is connected, the platform 2 creates a folder in the storage unit for storing the data output from the detected industrial device 1.
  • the folder may be created by the connected device recognition unit 21 or by the data collection unit 22. Other components not shown may create folders.
  • the application unit 3 includes one or more applications 31 that process data collected from the industrial device 1 by the platform 2.
  • the application 31 is, for example, an edge application used in edge computing.
  • the plurality of applications 31 process different data.
  • the application 31 is a data processing application that is added to the platform 2 and uses the data collected by the platform 2, and is, for example, an application that performs data analysis. More specifically, the application 31 is, for example, a preventive maintenance application that analyzes data and performs preventive maintenance of the industrial device 1.
  • the preventive maintenance application analyzes the data collected by the platform 2 and performs preventive maintenance of the industrial device 1 from which the data is output.
  • the preventive maintenance application analyzes the data using multiple regression analysis, MT (Mahalanobis Taguchi) method analysis, etc., and determines the defect status of the industrial equipment 1.
  • the platform 2 and the application unit 3 are each realized by using a computer such as a PC (Personal Computer). That is, the platform 2 is realized by the computer executing a program for operating as the platform 2. Further, the application unit 3 is realized by the computer executing a program for operating as the application unit 3. The platform 2 may be realized by the same computer as the application unit 3.
  • a computer such as a PC (Personal Computer). That is, the platform 2 is realized by the computer executing a program for operating as the platform 2. Further, the application unit 3 is realized by the computer executing a program for operating as the application unit 3. The platform 2 may be realized by the same computer as the application unit 3.
  • the industrial device 1 includes a storage unit 11 that holds the profile 12.
  • each of the industrial devices 1 may be a different type of device. That is, each of the industrial devices 1 may have at least a storage unit 11 for holding the profile 12 and a function for registering and editing the profile 12, even if the other parts are different. good.
  • the industrial device 1 has a unit memory area constituting the storage unit 11, and a memory area for storing signal information for communication is allocated to the unit memory area.
  • the industrial device 1 defines, for example, the head of a memory area for storing signal information for communication as an area for the profile 12, and allocates and uses the information described in the profile 12.
  • Profile 12 is created by a profile creation tool (not shown).
  • the profile creation tool is, for example, a PC on which a program for operating as a profile creation tool is installed.
  • the industrial device 1 may be configured to have a function of directly receiving an operation from a user and creating a profile.
  • the profile 12 includes connection destination information indicating where the industrial device 1 is connected, information on the location of each data collected by the platform 2, that is, information on the location where each data exists. Examples of data collected by the platform 2 are current values, voltage values, and the like measured in the industrial equipment 1.
  • FIG. 2 is a diagram showing an example of information registered in the profile 12 held by the industrial device 1.
  • Profile 12 includes device connection information, data and comments.
  • the device connection information includes "network type”, “network number” and “station code”, which are connection destination information for the CC-Link IE Field network, and CC-Link IE Field network as information corresponding to the above connection destination information. It includes "head I / O (Input / Output) No.” and "station code” which are connection destination information about a heterogeneous network which is another network different from the above.
  • D1000 “D1001”, “D1002”, ...
  • the profile 12 further includes information of another industrial device 1 one level below.
  • the application 31 includes information included in the profile 12, specifically, connection destination information of the industrial device 1, information on the location of each data output by the industrial device 1, and other industries one level below.
  • the application 31 further confirms the profile held by the other industrial device 1.
  • the application 31 can be used for each industrial equipment 1 constituting the system. You can understand the connection relationship.
  • FIG. 3 is a diagram for explaining a configuration example of the profile 12 held by the industrial device 1.
  • FIG. 3 shows an example of information of another industrial device 1 one level below included in the profile 12 when the data analysis system 100 is configured by combining a plurality of networks.
  • the information of the other industrial equipment 1 one level below is "connection device name one level down", “network type”, “network number”, “station code”, “head I / O No.” and "station code”. including.
  • Each piece of information other than "name of connected device one layer below” is the same as each piece of information having the same name shown in FIG. In the two "station codes", the "station code" in each network when the industrial device 1 indicated by the "connected device name one layer below” is connected to the two networks at the same time is set.
  • Name of connected device one level below indicates another industrial device 1 one level below. Therefore, in the example of FIG. 3, it is shown that the other industrial device 1 one level below is an image processing device, a temperature control device, a positioning device, and so on. In addition, another device may exist one layer below these devices. The information other than the "name of the connected device one layer below" is the connection destination information of the other industrial device 1 one layer below.
  • the user When creating the profile 12, the user sets necessary items among the items of "network type”, “network number”, “station number”, “head I / O No.” and “station number”. In addition, the user sets necessary items such as "the name of the connected device one level below” and the corresponding "network type” and "network number” as necessary.
  • the profile 12 is the connection destination information of the industrial device 1 holding the profile 12 and the location information of each data output by the industrial device 1, that is, the place where each data collected by the platform 2 exists. Information and, including. Further, when another industrial device 1 is present one layer below the industrial device 1 holding the profile 12, the profile 12 further includes connection destination information of the other industrial device 1 one layer below. Therefore, the platform 2 can know where the data to be analyzed by the application 31 exists by checking the profile 12 held by the industrial device 1, and can set the data acquisition route. ..
  • Application 31 and industrial equipment 1 may be released as new products. Therefore, in the data analysis system 100 according to the present embodiment, when the later industrial device 1 is newly connected, the application 31 establishes a data acquisition route with the newly connected industrial device 1 and data. In order to register the location information of the data to be analyzed, the address of the later industrial equipment 1 and the location information of the data output by the later industrial equipment 1 are added to the profile 12 of the later industrial equipment 1. It is described.
  • the operation of the data analysis system 100 according to the first embodiment will be described. Specifically, an operation in which the platform 2 acquires the profile 12 from the industrial device 1 and passes it to the application 31 and an operation in which the application 31 sets a data acquisition route based on the profile 12 will be described.
  • FIG. 4 is a flowchart showing an example of the operation of the data analysis system 100 according to the first embodiment.
  • the platform 2 monitors whether or not the industrial device 1 is newly connected, and when the connection of the industrial device 1 is detected (step S11), the profile 12 is acquired from the newly connected industrial device 1. (Step S12). Specifically, the connected device recognition unit 21 makes an output request for the profile 12 to the industrial device 1 that has detected the connection, and receives the profile 12 output from the industrial device 1. In the platform 2, the profile 12 received by the connected device recognition unit 21 is stored and held in a folder for storing the data output by the industrial device 1 from which the profile 12 is acquired.
  • the platform 2 transmits the profile 12 to the application 31 (step S13). That is, the connected device recognition unit 21 transmits the profile 12 received from the industrial device 1 to the application 31. At this time, the connected device recognition unit 21 confirms the profile 12 received from the industrial device 1, and transmits the profile 12 to the application 31 if the information required by the application 31 is included.
  • the information required by the application 31 is the address of the industrial device 1 and the location of each data output by the industrial device 1.
  • the address of the industrial device 1 corresponds to the connection destination information of the industrial device 1 described with reference to FIG.
  • the connected device recognition unit 21 transmits the profile 12 to all the applications 31.
  • the application 31 sets a data acquisition route based on the profile 12 received from the platform 2 (step S14). Specifically, the application 31 confirms the received profile 12, acquires information on the location (location) of the data to be processed for data analysis, and stores it in association with the address of the industrial device 1. Set the data acquisition route with. Normally, as shown in FIG. 5, the profile 12 includes information such as the location of a plurality of data (“data storage area address” in FIG. 5).
  • FIG. 5 is a diagram showing an example of information regarding data output by the industrial equipment 1 included in the profile 12 held by the industrial equipment 1 according to the first embodiment.
  • the application 31 acquires information on the location of the data to be analyzed from the information on the data output by the industrial device 1 as shown in FIG.
  • the selection of the information acquired by the application 31 follows the instruction from the user. For example, as shown in FIG. 6, when the profile 12 is received via the platform 2, the application 31 displays a list 311 of information regarding the data output by the industrial device 1 included in the received profile 12.
  • FIG. 6 is a diagram showing an outline of the operation of the data analysis system according to the first embodiment. After displaying Listing 311 the application 31 waits for the user to select some or all of the information displayed in Listing 311. After that, when the selection operation by the user is completed, the application 31 extracts the information necessary for setting the acquisition route of the data selected by the user from the profile 12. In the case of the example shown in FIG. 6, the user selects data by checking the check box in the "selection" column of the necessary data, that is, the data to be analyzed by the application 31.
  • the application 31 sets a data acquisition route if the received profile 12 includes the address of the industrial device 1 and the location information of each data output by the industrial device 1.
  • the setting may be made only when the industrial device 1 from which the profile 12 is transmitted is a predetermined industrial device 1. For example, information such as an ID (Identification) indicating the manufacturer of the industrial device 1 and a model code indicating the type of the industrial device 1 is registered in the profile 12, and the received profile 12 satisfies the conditions in the application 31. When the condition is satisfied, that is, when the information such as the specified ID and model code is included, the data acquisition route is set.
  • the platform 2 is transmitted to the application 31.
  • the profile 12 may be transmitted to the application 31 when the industrial device 1 from which the profile 12 is transmitted is a predetermined industrial device 1.
  • the connected device recognition unit 21 of the platform 2 may register the information such as the ID indicating the manufacturer of the industrial device 1 and the model code indicating the type of the industrial device 1 in the profile 12.
  • the profile 12 acquired from the above includes the address of the industrial device 1 and the location information of each data output by the industrial device 1, and further satisfies the specified conditions, that is, the specified ID, model code, etc.
  • the information of When the information of is included, it may be configured to be transmitted to the application 31.
  • the condition for the connected device recognition unit 21 to transmit the profile 12 may be set individually for each application 31.
  • the data analysis system 100 also makes it possible to add the industrial equipment 1 while the production system is in operation. That is, the platform 2 acquires the profile 12 when the industrial device 1 is newly connected even when the production system to which the data analysis system 100 is applied is operating. Then, the platform 2 transmits the profile 12 to the application 31 if the profile 12 includes the address of the industrial device 1 and the information of the location of the data. The application 31 sets a data acquisition route based on the received profile 12.
  • the platform 2 constitutes the GUI on the GUI (Graphical User Interface), specifically, regardless of whether the production system is in operation or not.
  • the icon of the newly connected industrial device 1 is displayed on the screen showing the overall configuration of the system (see FIG. 7).
  • FIG. 7 is a diagram showing an example of a screen showing the overall configuration of the production system.
  • the vision sensor which is an image processing device, corresponds to the added industrial device 1.
  • the application 31 When acquiring the data to be analyzed, the application 31 notifies the platform 2 of the industrial equipment 1 that outputs the data and the location of the data, and requests the data. Upon receiving a request from the application 31, the platform 2 acquires data from the notified data location of the industrial device 1 and transmits the acquired data to the application 31.
  • the industrial device 1 holds the profile 12 including the information of the place where the output data exists, and the platform 2 is the industrial device.
  • the profile 12 is acquired and transmitted to the application 31.
  • the application 31 sets the acquisition route of the target data for data analysis based on the profile 12. This eliminates the need for the user to set a route for the application 31 to acquire data from the industrial device 1, and can reduce the workload of the user.
  • the operation when the industrial device 1 is added has been described, but similarly, when the application 31 is added, the data is based on the profile 12 held by the industrial device 1. It is possible to set the acquisition route of. For example, when the platform 2 detects that the application 31 has been added to the application unit 3, it transmits each profile 12 acquired from each of the connected industrial devices 1 to the added application 31. The added application 31 sets a route for acquiring the data to be analyzed based on each profile 12 received from the platform 2.
  • FIG. 8 is a diagram showing a configuration example of the data analysis system 100a according to the second embodiment.
  • the components common to the data analysis system 100 described in the first embodiment are designated by the same reference numerals as those of the data analysis system 100. In this embodiment, the points different from those in the first embodiment will be described.
  • Platform 2a is a configuration in which a data model management unit 23 is added to platform 2.
  • the data model management unit 23 creates a data model that imitates the production system of the factory, and manages the information about the industrial equipment 1 connected to the platform 2a with the data model.
  • the data model managed by the data model management unit 23 is created based on the profile 12 held by each of the industrial devices 1. That is, when the connected device recognition unit 21 acquires the profile 12 from the industrial device 1, the data model management unit 23 creates a data model based on the acquired profile 12.
  • the data model is a collection of information such as connection destination information and data locations included in the profile 12 held by each of all the industrial devices 1 constituting the production system, and represents the entire configuration of the production system.
  • FIG. 9 is a diagram showing a configuration example of the data model 24 managed by the data model management unit 23.
  • the data model 24 includes device information 25, which is information about the industrial device 1 holding the profile 12 used to create the data model 24.
  • the device information 25 includes a device name that is the name of the industrial device 1 that holds the profile 12 used for creating the data model 24, a purpose that is the purpose of the industrial device 1, and the industrial device 1. It is configured to include a management place indicating the location of each of the output data and a management device indicating another industrial device 1 one level below the industrial device 1.
  • the data model 24 may be created by the user after being created based on the profile 12 held by each industrial device 1 of the production system. That is, in the data analysis system 100a, the platform 2a accepts the editing operation of the data model 24 by the user, and the data model management unit 23 can change the data model 24 according to the content of the editing operation by the user.
  • the purpose (purpose of use of the industrial device 1) in the information constituting the device information 25 corresponds to the information added by the editing work by the user.
  • the platform 2a When the platform 2a acquires the profile 12 from the industrial device 1, it creates a folder for storing the data collected from the industrial device 1 and stores the profile 12. Further, the platform 2a creates a folder (subfolder) in the created folder for storing the data collected from the industrial device 1 separately for each type of data. For example, when the data collected from the industrial device 1 from which the profile 12 is acquired is data A, data B, and data C, the platform 2a has a subfolder for storing data A, a subfolder for storing data B, and data C. Create a subfolder to store the data.
  • the data model management unit 23 may create the subfolder, or the data collection unit 22 may create the subfolder.
  • the platform 2a passes the data output by the industrial device 1 to the application 31 via the folder created based on the profile 12. That is, when the data collection unit 22 of the platform 2a acquires data from the industrial device 1, the acquired data is stored in the subfolder corresponding to the acquired data among the subfolders created based on the profile 12.
  • FIG. 10 is a flowchart showing an example of the operation of the data analysis system 100a according to the second embodiment.
  • the flowchart of FIG. 10 replaces step S13 of the flowchart (see FIG. 4) showing the operation of the data analysis system 100 of the first embodiment with step S23. The description is omitted except for step S23.
  • step S23 platform 2a creates a data model and sends it to application 31.
  • This data model is used when the application 31 sets a data acquisition route in step S14.
  • the platform 2a notifies the application 31 when the creation of the data model in the data model management unit 23 is completed, and the notified application 31 accesses the platform 2a.
  • the data model managed by the data model management unit 23 may be confirmed and a data acquisition route may be set.
  • step S14 of the present embodiment when the application 31 receives the data model from the platform 2a, the application 31 displays a screen as shown in FIG. 11 based on the data model and accepts the data designation operation by the user.
  • FIG. 11 is a diagram showing an example of a screen displayed by the application 31 of the data analysis system 100a according to the second embodiment.
  • the connection relationship of the industrial equipment 1 constituting the production system is displayed in a tree format, which corresponds to a data model.
  • a list 312 of information regarding the data output by the industrial equipment 1 is displayed. In this state, the application 31 waits for the user to select some or all of the information displayed in Listing 312.
  • the application 31 extracts the information necessary for setting the acquisition route of the data selected by the user from the data model 24.
  • the application 31 grasps the connection relationship of the industrial equipment 1 constituting the production system from the equipment information 25 included in the data model 24.
  • a display indicating that the data cannot be acquired for example, a mark such as "x" is displayed in FIG. 11. It may be displayed on the tree on the left side of. As a result, the user can know that the application 31 cannot acquire the data due to the occurrence of the trouble.
  • the platform 2a displays the icon of the newly connected industrial device 1 on the screen showing the overall configuration of the production system. indicate.
  • the data analysis system 100a also makes it possible to add the industrial equipment 1 while the production system is in operation.
  • the platform 2a includes the data model management unit 23, the device name, purpose, storage location and management described in the profile 12 of each industrial device 1 even in a production system having a complicated configuration including a plurality of industrial devices 1.
  • the data model management unit 23 can create a data model based on the information of the device. Therefore, the user does not need to make a setting for associating the application 31 with the industrial device 1, and the workload can be reduced.
  • the platform 2a creates and manages a data model 24 based on the profile 12 acquired from the industrial device 1 by the connected device recognition unit 21.
  • a model management unit 23 is provided.
  • the data model management unit 23 creates the data model 24, the data model management unit 23 transmits the created data model 24 to the application 31.
  • the application 31 sets an acquisition route of the target data for data analysis based on the received data model 24.
  • the user of the data analysis system 100a does not need to set a route for the application 31 to acquire data from the industrial device 1, and the workload of the user is reduced. Can be mitigated.
  • FIG. 12 is a diagram showing a configuration example of the data analysis system 100b according to the third embodiment.
  • the components common to the data analysis system 100 described in the first embodiment are designated by the same reference numerals as those of the data analysis system 100.
  • FIG. 12 also describes the ordering system 400 connected to the data analysis system 100b. In this embodiment, the points different from those in the first embodiment will be described.
  • the data analysis system 100b replaces the application unit 3 of the data analysis system 100 with the application unit 3b.
  • the application unit 3b includes a preventive maintenance application 32 and a parts ordering application 33.
  • the preventive maintenance application 32 is an application that analyzes the data output by the industrial device 1 to perform preventive maintenance of the industrial device 1, and performs a process of determining whether or not parts of the industrial device 1 need to be replaced. ..
  • the parts ordering application 33 is an application that requests the ordering system 400 to place an order for parts constituting the industrial equipment 1. When the preventive maintenance application 32 determines that the parts need to be replaced, the parts ordering application 33 performs a process of requesting the ordering system 400 to place an order for the parts that need to be replaced.
  • the data analysis system 100b information on consumable parts such as servomotors used in processing machines and the like is described in the profile 12 held by the industrial equipment 1.
  • Examples of information on consumable parts described in profile 12 are model names and part names of consumable parts.
  • the profile 12 describes the correspondence information indicating the correspondence relationship between the data output by the industrial equipment 1 and the consumable parts of the industrial equipment 1.
  • the parts ordering application 33 orders parts by transmitting a parts replacement list to the ordering system 400 when the preventive maintenance application 32 determines that the consumable parts need to be replaced.
  • the parts replacement list is a list of consumable parts that need to be replaced.
  • the preventive maintenance application 32 creates the parts replacement list.
  • the preventive maintenance application 32 creates a parts replacement list based on the CAD (Computer-Aided Design) data bill of materials (BOM: Bill Of Materials) of the industrial equipment 1 for parts replacement.
  • the CAD data bill of materials is held by the parts ordering application 33 or the platform 2.
  • the parts ordering application 33 can be used by adding in to the preventive maintenance application 32.
  • the ordering system 400 includes a quotation unit 401 that requests a parts maker to estimate parts, an ordering unit 402 that accepts parts orders from the parts ordering application 33, and an ordering unit 403 that orders parts from a parts maker or the like. And a settlement processing unit 404 that performs settlement processing of parts ordering.
  • FIG. 13 is a flowchart showing an example of an operation in which the data analysis system 100b according to the third embodiment orders replacement parts.
  • the data analysis system 100b repeatedly executes the operation shown in the flowchart of FIG. 13 at a predetermined cycle.
  • the operation of setting the route for acquiring data by the preventive maintenance application 32 and the parts ordering application 33 is the same as that of the first embodiment.
  • the preventive maintenance application 32 analyzes the data acquired from the industrial equipment 1 via the platform 2 (step S31), and whether or not the parts need to be replaced. (Step S32). When the component replacement is not necessary (step S32: No), the preventive maintenance application 32 ends the operation.
  • step S32 When parts replacement is required (step S32: Yes), the preventive maintenance application 32 creates a parts replacement list (step S33). When the preventive maintenance application 32 creates a parts replacement list, the created parts replacement list is passed to the parts ordering application 33.
  • the parts ordering application 33 accepts the selection of the parts to be ordered from the user (step S34). Specifically, the parts ordering application 33 displays the parts replacement list created by the preventive maintenance application 32 in step S33, and accepts from the user an operation of selecting all or a part of the parts registered in the parts replacement list.
  • step S35 the parts ordering application 33 orders parts (step S35).
  • step S35 the parts ordering application 33 creates purchase order data for the parts selected in step S34 and transmits the purchase order data to the ordering system 400.
  • the parts replacement list is created in step S33, the parts selected by the user in step S34 are ordered, but the parts registered in the parts replacement list are automatically ordered. You may do it.
  • it is set in advance whether or not to automatically place an order when it is determined that replacement is necessary, and for parts that are set to be automatically ordered, the order is automatically placed and the setting is made to automatically place an order. For parts that have not been completed, the user may be asked whether or not to place an order.
  • the preventive maintenance application 32 immediately passes the parts replacement list to the parts ordering application 33.
  • the preventive maintenance application 32 holds the parts replacement list when the parts replacement list is created in a state where the parts ordering application 33 is not added in, and then holds the parts replacement list when the parts ordering application 33 is added in. The parts replacement list is passed to the parts ordering application 33.
  • the quotation unit 401 receives the purchase order sent from the parts ordering application 33.
  • the quotation unit 401 When the quotation unit 401 receives the purchase order from the parts ordering application 33, it requests each parts manufacturer to create a quotation together with the received parts replacement list. The parts maker who received the request prepares a quotation and sends it to the quotation unit 401 of the ordering system 400. The quotation unit 401 adds an order specification to the quotation received from the parts manufacturer and sends it to the parts ordering application 33. This order specification also includes information on the payment method.
  • the parts ordering application 33 sends the ordering specifications to the ordering system 400.
  • the ordering specification sent here is an ordering specification received together with the quotation from the quotation unit 401 of the ordering system 400.
  • the ordered order specification sent is received by the ordering unit 402 of the ordering system 400, and the ordering unit 402 notifies the parts ordering application 33 that the ordering specification has arrived and passes the ordering specification to the ordering unit 403. ..
  • the ordering unit 403 sends the ordering specifications to each parts manufacturer.
  • the payment processing unit 404 makes a payment based on the payment method information included in the order specification.
  • the data analysis system 100b includes the preventive maintenance application 32 and the parts ordering application 33, and the preventive maintenance application 32 analyzes the data output from the industrial device 1 and consumes it.
  • the preventive maintenance application 32 analyzes the data output from the industrial device 1 and consumes it.
  • a parts replacement list is created, and the parts ordering application 33 requests the ordering system 400 to order consumable parts based on the parts replacement list created by the preventive maintenance application 32.
  • the data analysis system 100b it is possible to reduce the load of the work of ordering consumable parts.
  • the application unit 3 of the data analysis system 100 described in the first embodiment is replaced with the application unit 3b, but the application unit 3 of the data analysis system 100a described in the second embodiment is used. May be replaced with the application unit 3b.
  • FIG. 14 is a diagram showing an example of hardware that realizes the platform 2 of the data analysis system 100 according to the first embodiment.
  • Platform 2 can be realized by a computer, which is a computer equipped with hardware such as a processor 101, a memory 102, an interface 103, a display device 104, and an input device 105 shown in FIG.
  • a processor 101 is a CPU (Central Processing Unit, central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, DSP (Digital Signal Processor)) or system LSI (Large Scale Integration).
  • An example of the memory 102 is RAM (Random Access Memory) or ROM (Read Only Memory).
  • the interface 103 is a network interface card or the like for connecting the industrial device 1.
  • the display device 104 is a liquid crystal monitor, a display, or the like.
  • the input device 105 is a mouse, a keyboard, a touch panel, or the like.
  • Each function of the platform 2 is realized by the processor 101 and the memory 102. That is, each function of the platform 2 is realized by storing a program for realizing each function of the platform 2 in the memory 102 and reading and executing the program stored in the memory 102 by the processor 101. The program.
  • the memory 102 is also used as a temporary memory when the processor 101 executes various processes.
  • the application unit 3 is also realized by the same hardware, that is, a computer. Further, the platform 2a described in the second embodiment and the application unit 3b described in the third embodiment are also realized by the same hardware.
  • the configuration shown in the above embodiments is an example, and can be combined with another known technique, can be combined with each other, and does not deviate from the gist. It is also possible to omit or change a part of the configuration.
PCT/JP2020/032085 2020-08-25 2020-08-25 データ分析システム WO2022044140A1 (ja)

Priority Applications (3)

Application Number Priority Date Filing Date Title
PCT/JP2020/032085 WO2022044140A1 (ja) 2020-08-25 2020-08-25 データ分析システム
JP2021500762A JP6952928B1 (ja) 2020-08-25 2020-08-25 データ分析システム
CN202080100469.6A CN115516396A (zh) 2020-08-25 2020-08-25 数据分析系统

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/032085 WO2022044140A1 (ja) 2020-08-25 2020-08-25 データ分析システム

Publications (1)

Publication Number Publication Date
WO2022044140A1 true WO2022044140A1 (ja) 2022-03-03

Family

ID=78150250

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2020/032085 WO2022044140A1 (ja) 2020-08-25 2020-08-25 データ分析システム

Country Status (3)

Country Link
JP (1) JP6952928B1 (zh)
CN (1) CN115516396A (zh)
WO (1) WO2022044140A1 (zh)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003233416A (ja) * 2002-02-07 2003-08-22 Toshiba Corp 配管データ収集装置および配管データ監視装置並びに配管監視システム
JP2019523425A (ja) * 2016-05-09 2019-08-22 ストロング フォース アイオーティ ポートフォリオ ２０１６，エルエルシー 産業用のモノのインターネットのための方法およびシステム

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102298373B (zh) * 2011-06-30 2013-01-30 北京康拓红外技术股份有限公司 一种可编程逻辑控制器的监控方法及其监控系统
CN103792928B (zh) * 2014-02-24 2016-08-03 东南大学 一种基于Modbus的工业现场数据采集分析系统
CN104065521B (zh) * 2014-07-18 2017-09-29 国家电网公司 一种电力网络设备日志和配置文件的采集、分析和发布系统及其方法

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003233416A (ja) * 2002-02-07 2003-08-22 Toshiba Corp 配管データ収集装置および配管データ監視装置並びに配管監視システム
JP2019523425A (ja) * 2016-05-09 2019-08-22 ストロング フォース アイオーティ ポートフォリオ ２０１６，エルエルシー 産業用のモノのインターネットのための方法およびシステム

Also Published As

Publication number Publication date
CN115516396A (zh) 2022-12-23
JP6952928B1 (ja) 2021-10-27
JPWO2022044140A1 (zh) 2022-03-03

Similar Documents

Publication Publication Date Title
US10319087B2 (en) Control system, control device, image processing device, and control method
JP5097820B2 (ja) 携帯用フィールドメンテナンス機器の機能改善方法
JP2017062656A (ja) 計画管理システム及び計画管理方法
US20050182580A1 (en) Measurement data collection apparatus
JP2021064265A (ja) 作業実績分析サーバ、作業実績分析方法、および作業実績分析プログラム
CN110908878B (zh) 操作数据收集系统、操作数据收集方法和存储介质
TWI469068B (zh) 產品檢驗及其規範與作業管理系統、裝置、應用程式及儲存媒介
WO2019017061A1 (ja) 進捗・稼動監視システムおよび方法
US10222788B2 (en) Plan generating device and plan generating method
KR20090124059A (ko) 통합 블록정도 관리 시스템 및 방법
WO2022044140A1 (ja) データ分析システム
EP4184343A1 (en) Information processing system, information processing method and information processing program
CN108694493B (zh) 作业委托支援系统及其方法
US8521622B2 (en) Computer system for managing part order placement
US10572457B2 (en) Database construction device, database construction method, and database construction program
WO2021100284A1 (ja) 生産シミュレーション装置
JP6210108B2 (ja) フィールド機器管理装置、機器情報表示方法、コンピュータプログラムおよび記録媒体
US20220245872A1 (en) Display control device, control method, and non-transitory computer readable medium
JP2005346280A (ja) トレーサビリティシステム、トレース情報管理方法、トレース情報管理プログラム、及び記録媒体
JP6664564B1 (ja) 情報技術活用評価装置、情報技術活用評価システムおよび情報技術活用評価方法
JP2021125264A (ja) 情報処理装置
US10623266B2 (en) Cross entity association change assessment system
KR102583131B1 (ko) 물류 센터 간 주문 정보를 이관하는 방법 및 이를 이용한 전자 장치
JP6190296B2 (ja) 機器管理システム、装置、および方法
JP7471759B2 (ja) 作業指示通信システム

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2021500762

Country of ref document: JP

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20951394

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20951394

Country of ref document: EP

Kind code of ref document: A1