WO2017013787A1 - Dispositif, procédé et programme d'analyse - Google Patents

Dispositif, procédé et programme d'analyse Download PDF

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Publication number
WO2017013787A1
WO2017013787A1 PCT/JP2015/070968 JP2015070968W WO2017013787A1 WO 2017013787 A1 WO2017013787 A1 WO 2017013787A1 JP 2015070968 W JP2015070968 W JP 2015070968W WO 2017013787 A1 WO2017013787 A1 WO 2017013787A1
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Prior art keywords
data
processing
actual data
transition
model
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PCT/JP2015/070968
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English (en)
Japanese (ja)
Inventor
将 吉田
としこ 菊田
美香 早川
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株式会社日立製作所
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Priority to PCT/JP2015/070968 priority Critical patent/WO2017013787A1/fr
Publication of WO2017013787A1 publication Critical patent/WO2017013787A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • the present invention relates to an analysis apparatus, an analysis method, and an analysis program.
  • Patent Document 1 A system for collecting and integrating data existing in a plurality of information sources managed separately has been proposed (see, for example, Patent Document 1).
  • Patent Literature 1 In the data integration process of Patent Literature 1, in order to perform the conversion process of the data collected as it is the data model (physical model) on each information source side collected toward the data model (logical model) defined for each application on the use side, It is necessary to define a logical data model in advance, and in order to define a logical data model, it is necessary to grasp the physical model of each information source to be input.
  • the present invention provides a mechanism for performing data integration processing without defining a logical model in advance.
  • the present invention is an analysis apparatus, which collects the plurality of actual data from a storage unit and a plurality of information systems holding a plurality of actual data, and stores the actual data in the storage unit
  • a processing model generating unit that generates, for each of the information systems from which the plurality of actual data is collected, a plurality of the plurality of real data according to the processing model.
  • Real data conversion unit that generates processing data using the plurality of real data for each of the collection source information systems and stores the processing data in the storage unit, and the storage unit Is generated based on the order of transition of the processing models between the plurality of processing models and the plurality of processing models.
  • Processing data includes a transition structure specifying unit configured to specify a condition for transition.
  • data can be integrated without defining a logical model in advance in the present invention.
  • FIG. 1 is a block diagram showing the configuration of the computer system of this embodiment.
  • the computer system shown in FIG. 1 includes a plurality of information systems 107 and a data analysis apparatus 101.
  • the plurality of information systems 107 and the data analysis apparatus 101 are connected by a network 106.
  • the network 106 may be a general-purpose network such as the Internet, or may be a network for a specific purpose such as an in-house LAN.
  • the plurality of information systems 107 are used in a business having one purpose.
  • the work of the present embodiment is performed by continuously performing a plurality of processes.
  • one information system 107 executes one process in one task.
  • One information system 107 executes a plurality of procedures in order to execute one process.
  • the plurality of information systems 107 when a plurality of information systems 107 provide product production operations, the plurality of information systems 107 includes an information system 107 that performs processing for receiving a product order, an information system 107 that performs processing for producing and managing products, and An information system 107 that performs processing for shipping products is included.
  • the processes provided by each of the plurality of information systems 107 are executed in cooperation with each other and executed in the order of a predetermined business flow.
  • the information system 107 that performs processing for receiving a product receives, for example, a procedure for receiving an order header indicating the name of a customer who has ordered and an order date, and a procedure for receiving an order specification indicating the name and price of the ordered product. Etc.
  • the information system 107 of the present embodiment may be applied to any system as long as a single purpose is achieved by continuous processing.
  • this embodiment may be applied by using a plurality of sensor systems installed in a power plant as a plurality of information systems 107.
  • the data analysis apparatus 101 identifies a related data group from data generated in a plurality of information systems 107, generates a processing model that abstracts the related data group, the order in which the processing model transitions, and It is a device that identifies transition conditions.
  • the data analysis device 101 includes a collection device 102, an analysis device 103, a storage device 104, and a display device 105. These devices included in the data analysis device 101 may be implemented by a plurality of physical computers or a plurality of integrated devices, or may be implemented by a plurality of virtual machines. Further, the data analysis apparatus 101 may be implemented by a single computer, and the data analysis apparatus 101 may execute a plurality of programs corresponding to the functions of each apparatus.
  • the collection device 102 has a function of collecting data from each information system 107.
  • the analysis device 103 has a function of analyzing data collected by the collection device 102.
  • the storage device 104 stores data collected by the collection device 102 and results analyzed by the analysis device 103.
  • the display device 105 displays the content stored in the storage device 104 on an output device included in the data analysis device 101.
  • the collection device 102 includes connection information 108, an information system identification unit 109, and a data collection unit 110.
  • the connection information 108 holds information (for example, IP address) that identifies the information system 107.
  • the connection information 108 may be stored in a memory included in the collection device 102 or the data analysis device 101.
  • the information system specifying unit 109 and the data collecting unit 110 may be implemented by at least one program, or may be implemented by at least one integrated device.
  • the information system identification unit 109 refers to the connection information 108 to identify and connect to the information system 107.
  • the data collection unit 110 collects actual data generated and held by the connected information system 107.
  • the data collection unit 110 may continue monitoring whether actual data is generated in the connected information system 107 and may collect the actual data generated as needed. Further, the data collection unit 110 may collect actual data generated in the information system 107 at a predetermined cycle or a predetermined timing.
  • the analysis apparatus 103 includes a processing model generation unit 111, an actual data conversion unit 112, an order specification unit 113, and a condition specification unit 114.
  • the processing model generation unit 111 identifies the relationship between the actual data in the set based on the set of actual data collected from one information system 107, and is determined to be related based on the identified relationship.
  • a processing model for combining real data is generated.
  • the actual data conversion unit 112 generates processing data by combining the actual data collected according to the processing model generated by the processing model generation unit 111.
  • the order specifying unit 113 is processing data generated by the actual data conversion unit 112, and acquires processing data generated based on the actual data collected from all the information systems 107. Then, the order specifying unit 113 specifies the generation order of the processing data generated in accordance with the execution of a series of tasks by specifying whether all the acquired processing data are related. The order specifying unit 113 specifies the transition order of the processing model by specifying the generation order of the processing data.
  • condition specifying unit 114 specifies the content of change in the processing data generated according to the execution of a series of operations based on the difference between the processing data among the plurality of related processing data.
  • the condition specifying unit 114 specifies the transition condition of the processing model by specifying the changing contents.
  • the storage device 104 includes actual data 115, a processing model 116, processing data 121, a transition order 117, and a transition condition 118.
  • the actual data 115 stores actual data collected from the information system 107 by the collection device 102.
  • the processing model 116 stores the processing model generated by the processing model generation unit 111.
  • the processing data 121 stores processing data that is a result of combining according to the processing model.
  • the transition order 117 stores information indicating the transition order specified by the order specifying unit 113 for each processing model.
  • the transition condition 118 stores information indicating the condition for each processing model on the back specified by the condition specifying unit 114.
  • the display device 105 includes a transition structure display unit 119 that displays the transition condition 118 of the storage device 104 and a processing data display unit 120 that displays a result of converting the actual data 115 toward the processing model 116.
  • FIG. 2 is a block diagram showing a physical configuration of a computer on which the data analysis apparatus 101 of this embodiment is mounted.
  • the computer 140 includes a processor 141, a memory 142, an auxiliary storage device 143, an input / output interface 144, and a communication interface 145.
  • the computer 140 implements the function of the computer 140 by the processor executing the program stored in the memory 142.
  • the memory 142 includes a ROM that is a nonvolatile storage element and a RAM that is a volatile storage element.
  • ROM stores immutable programs (for example, BIOS).
  • the RAM is a high-speed and volatile storage element such as a DRAM (Dynamic Random Access Memory), and temporarily stores a program stored in the auxiliary storage device and data used when the program is executed.
  • DRAM Dynamic Random Access Memory
  • the memory 142 of the data analysis apparatus 101 stores a collection program, an analysis program, and a display program.
  • an information system identification program, a data collection program, a processing model generation program, an actual data conversion program, an order identification program, a condition identification program, a transition condition display program, and a processing data display program are stored as subprograms of each program. The functions of each device shown in FIG. 1 are implemented by these programs.
  • the auxiliary storage device 143 is a large-capacity non-volatile storage device such as a magnetic storage device (HDD) or a flash memory (SSD).
  • the auxiliary storage device 143 stores a program executed by the processor 141 and data used when the program is executed. That is, the program is read from the auxiliary storage device 143, loaded into the memory 142, and executed by the processor 141.
  • the input / output interface 144 is an interface for connecting to an input device and an output device.
  • the input device is a device that receives an instruction from an operator who manages or operates the data analysis device 101 or a user who provides a service by the data analysis device 101.
  • the output device is a device that presents a processing result to an operator or a user (hereinafter referred to as an operator or the like).
  • the input / output interface 144 is particularly installed in the display device 105.
  • the communication interface 145 is a network interface for communicating with the information system 107 via the network 106.
  • the communication interface 145 is installed in the collection device 102.
  • the program executed by the processor 141 is provided to the computer 140 via a removable medium (CD-ROM, flash memory, etc.) or a network, and is stored in the auxiliary storage device 143 that is a non-temporary storage medium. For this reason, the computer 140 may have an interface for reading data from a removable medium.
  • the computer 140 is a computer system that is physically configured on one computer, or logically or physically on a plurality of computers, and the above-described program operates in separate threads on the same computer. It may be possible to operate on a virtual machine constructed on a plurality of physical computer resources.
  • FIG. 3 is a flowchart showing an outline of processing by the data analysis apparatus 101 of this embodiment.
  • the data collection unit 110 collects actual data from a plurality of information systems 107, and stores the collected actual data in the storage device 104 (S130).
  • the processing model generation unit 111 of the analysis apparatus 103 generates a processing model for combining related real data (S131).
  • the actual data conversion unit 112 combines related actual data based on the generated processing model, and generates processing data that is a result of the combination (S132).
  • the order identifying unit 113 and the condition identifying unit 114 identify the transition order and transition condition of the processing model by comparing a plurality of processing data (S133).
  • the transition order of the processing models of the present embodiment is the order in which the processing models based on the actual data of the plurality of information systems 107 transition between the plurality of processing models according to the flow of the plurality of processes executed by the plurality of information systems 107. This is the order in which processing models occur. Further, the transition condition of the processing model of the present embodiment is the content that the processing data generated based on the processing model transitions (changes).
  • the transition structure display unit 119 of the display device 105 After step S133, the transition structure display unit 119 of the display device 105 generates screen data for displaying the transition order and the transition condition on the output device using the transition order 117 and the transition condition 118 and the like stored in the storage device 104. And output. Further, the processing data display unit 120 uses the processing data 121 to generate and output data for displaying the processing data on the output device (S134).
  • FIG. 4 is a flowchart showing processing by the processing model generation unit 111 of the present embodiment.
  • FIG. 4 shows processing for generating a processing model from the collected set of actual data, and corresponds to step S131 shown in FIG.
  • the processing model generation unit 111 acquires the actual data collected from one information system 107 from the storage device 104 as one set. Thereby, the process model generation unit 111 acquires a plurality of sets of actual data from the storage device 104 (S201).
  • the processing model generation unit 111 executes the processing of the following steps S202 to S214 for each set of actual data.
  • FIG. 5 is an explanatory diagram showing a process in which the processing model of this embodiment is generated.
  • a set 300 shown in FIG. 5 shows a set of actual data collected from one information system 107.
  • the set 300 includes at least one actual data.
  • the actual data included in the set 300 indicates a group of data generated when the information system 107 provides one function to the worker.
  • the information system 107 may generate a plurality of actual data when providing one function.
  • the actual data includes a set number 301, an in-set order 308, a data type 302, an operation type 309, a data generation date and time 310, and at least one column 311.
  • the set number 301 is a number for identifying the set 300.
  • the collection number 301 is unique by the collected information system 107, and may be unique for each data collected in a predetermined time interval.
  • the set number 301 may be an identifier such as a character other than a number as long as the set 300 can be identified.
  • the in-set order 308 indicates the order in which actual data is generated.
  • the in-set order 308 shown in FIG. 5 indicates that the older the actual data, the smaller the number.
  • the data type 302 indicates the type of actual data.
  • the content of the column 311 included in the actual data is different for each data type 302.
  • the data type 302 shown in FIG. 5 indicates the role of actual data in the function provided by the information system 107.
  • the data type 302 may store any value as long as it indicates the type of actual data.
  • the operation type 309 indicates the type of operation performed at the storage destination using actual data.
  • the number of NULL values stored in the column 311 differs according to the operation type 309.
  • the operation type 309 is “INSERT”, NULL values are not stored in all the columns 311, and when the operation type 309 is “UPDATE”, NULL values are stored in some columns 311.
  • the data generation date and time 310 indicates the time when the actual data is generated in the information system 107.
  • the data generation date and time 310 shown in FIG. 5 indicates the date and time, but may indicate any time as long as the synchronized timing in the plurality of information systems 107 is shown, for example, may indicate a relative time.
  • Column 311 includes cells.
  • the cell includes a cell value.
  • the column 311 includes cell values having different contents according to the data type 302.
  • step S201 the processing model generation unit 111 acquires one set 300 by acquiring real data having the same set number 301. Then, the processing model generation unit 111 points to the top data of the acquired set 300 (S202). Hereinafter, the actual data pointed in step S202 is referred to as Point1.
  • step S202 the process model generation unit 111 determines whether the set 300 includes a plurality of actual data (S203).
  • the processing model generation unit 111 determines whether the operation type 309 of Point 1 is “INSERT” (S206). In the case of “INSERT”, Point 1 includes all cell values (other than NULL values) that can be included in the plurality of columns 311, and has a sufficient amount of cell values to identify the flow of the procedure in the process. Including.
  • the processing model generation unit 111 points to the actual data next to Point 1 (specifically, the actual data immediately after the data generation date and time 310 is Point 1) (S207).
  • the actual data pointed in step S207 will be referred to as “Point2” below.
  • the process model generation unit 111 determines whether the operation type 309 of Point2 is “INSERT” (S208). If it is “INSERT”, Point2 has a column 311 that can be compared to Point1. For this reason, the processing model generation unit 111 extracts cell values that match between the column 111 of Point 1 and the column 311 of Point 2 (S209).
  • the processing model generation unit 111 specifies a plurality of actual data having strong relevance, and generates a processing model 312 based on the specified plurality of actual data.
  • the processing model generation unit 111 may extract a completely matching cell value as a matching cell value, or may extract a cell value including a common value as a matching cell value. Further, when the matching cell value condition is designated in advance, the processing model generation unit 111 may extract the matching cell value according to the designated condition.
  • the processing model generation unit 111 executes Step S 211 without executing Steps S 209 and S 210.
  • the processing model generation unit 111 extracts a plurality of actual data (Point1 and Point2) including the extracted cell value as a plurality of related actual data. Then, a processing model 312 is generated using a plurality of related actual data (S210).
  • the processing model 312 indicates a combination of data types 302 of a plurality of related actual data and cell values that are related grounds. By generating the processing model 312, the processing model generation unit 111 can associate the types of actual data generated in a plurality of procedures of one process in one information system 107 for each process. In addition, since the processing model 312 indicates the type of actual data, other actual data generated at another timing can be associated as long as the actual data is the same type.
  • the processing model 312 includes a processing model name 313, a parent model 304, a child model 305, a parent cell name 306, and a child cell name 307.
  • the processing model name 313 is an identifier that is uniquely assigned to each combination of cell values of the parent model 304, the child model 305, the parent cell name 306, and the child cell name 307.
  • the processing model name 313 is assigned a value that can identify a plurality of processing models generated based on actual data of all the information systems 107.
  • the parent model 304 indicates the data type 302 of actual data (Point 1) whose data generation date and time 310 is early.
  • the child model 305 indicates the data type 302 of actual data (Point 2) whose data generation date 310 is later than the parent model 304.
  • the parent cell name 306 indicates the contents in the actual data (Point 1) indicated by the parent model 304 in the column 311 including the matching cell value extracted in step 209.
  • the child cell name 307 indicates the contents in the actual data (Point2) indicated by the child model 305 in the column 311 including the cell value that matches in step 209.
  • the parent cell name 306 and child cell name 307 indicate cell values that are the basis for extracting a plurality of related actual data. Further, the processing model generation unit 111 stores information indicating a plurality of related actual data in the parent model 304, the child model 305, the parent cell name 306, and the child cell name 307 based on the order based on the data generation date 310. By doing so, the processing model 312 can indicate the order in which a plurality of related actual data is generated.
  • the processing model generation unit 111 selects a cell 303 that is one column 311 of Point 1 in step S209. Then, the cell in the column 211 of Point 2 that matches the value in the cell 303 is specified.
  • the process model generation unit 111 stores the contents of the cell 303 of the point 1 in the parent cell name 306 in step S210 and uses the contents of the column 311 of the point 2 having a value matching the cell 303 as the child cell.
  • the name 307 is stored.
  • the processing model generation unit 111 stores the value of the data type 302 of Point 1 in the parent model 304 and stores the value of the data type 302 of Point 2 in the child model 305. Then, the process model generation unit 111 assigns a unique identifier to the process model name 313 and stores it.
  • the processing model generation unit 111 generates a processing model 312 shown in FIG.
  • the processing model generation unit 111 repeatedly executes such processing by selecting all the columns 311 of Point 1 to generate a processing model 312. If there is no cell having a matching cell value, the processing model generation unit 111 generates a processing data structure including the data generation date / time 310 of Point 1 and the column 311 as in S205.
  • the processing model generation unit 111 points the actual data whose data generation date and time is immediately after Point2 as new Point2 (S211).
  • the processing model generation unit 111 determines whether the actual data pointed to as Point2 exists in the set 300 (S212). If it exists, the processing model generation unit 111 repeats steps S208 to S210.
  • the processing model generation unit 111 specifies the relationship between Point1 and all the actual data of the data generation date and time 310 after Point1, and sets the processing model 312 based on the specified relationship. Generate.
  • the processing model generation unit 111 points the actual data whose data generation date and time is immediately after Point1 as a new Point1 (S213).
  • the process model generation unit 111 determines whether the actual data pointed to as Point 2 exists in the set 300 (S214). If it exists, steps S206 to S212 are repeated. Thereby, the processing model generation unit 111 can specify whether all the actual data of the set 300 are related to each other. When the pointed actual data does not exist, the process model generation unit 111 ends the process illustrated in FIG.
  • step S203 determines whether the operation type 309 of one real data is “INSERT” (S204).
  • the processing model generation unit 111 stores the data type 302 of one actual data in the parent model 304, and stores an arbitrary cell value of one actual data in the parent cell name 306, thereby obtaining the processing model 312.
  • Generate (S205) The processing model 312 generated in step S205 does not include cell values in the child model 305 and the child cell name 307 and does not indicate the relevance of a plurality of actual data, but one actual data is generated in one process. The actual data is shown.
  • step S204 If it is determined in step S204 that the operation type 309 is not “INSERT”, the information included in the actual data included in the set 300 is insufficient to extract the transition order and transition conditions of the processing model. Therefore, the process model generation unit 111 ends the process of step S131 illustrated in FIG. Further, after step S205, the process model generating unit 111 ends the process of step S131.
  • the processing model generation unit 111 stores the generated processing model 312 in the processing model 116 of the storage device 104 when the processing illustrated in FIG.
  • FIG. 6 is a flowchart showing a process of converting the actual data collected in this embodiment into process data.
  • FIG. 6 corresponds to step S132 shown in FIG.
  • FIG. 7 is an explanatory diagram showing processing data generated through the actual data conversion unit 112 of the present embodiment.
  • the actual data conversion unit 112 acquires all the processing models 312 generated in step S131 from the processing model 116 of the storage device 104 (S401).
  • the actual data conversion unit 112 aligns the acquired processing models 312 and points to the first processing model 312 (S402).
  • the actual data conversion unit 112 acquires, from the set 300, actual data including any one of the values of the parent model 304 and the child model 305 of the pointed processing model 312 in the data type 302 (S403). As a result, the actual data conversion unit 112 acquires the actual data of the type indicated by the processing model 312 from the storage device 104 for each collected information system 107.
  • the actual data conversion unit 112 determines whether or not actual data has been acquired in step S403 (S404). When the data can be acquired, the actual data conversion unit 112 has the same data type 302, the same key cell value, and a plurality of different operation types 309 (a plurality of aggregated actual data). It is determined whether or not each collected information system 107 can be specified (S405). There is a high possibility that the plurality of aggregated actual data is a plurality of different actual data generated by one procedure in one process in the information system 107.
  • the key cell value is the cell value of one of the cells indicated by the parent cell name 306 and the child cell name 307 (that is, the cell value that is the basis for the relevance of the actual data). More specifically, in actual data including the parent model 304 in the data type 302, the cell value of the parent cell name 306 is a key cell value. In the actual data including the child model 305 in the data type 302, the cell value of the child cell name 307 is a key cell value.
  • the real data 508 and the real data 509 shown in FIG. 7 are real data having the same data type 302 and including the same key cell value (“note number” of the parent cell name 306). Since the operation type 309 of the actual data 508 is different from the operation type 309 of the actual data 509, the actual data conversion unit 112 can specify the aggregated actual data.
  • step S405 If it is determined in step S405 that the aggregated real data can be specified, the actual data conversion unit 112 aggregates a plurality of such aggregated actual data columns 311 and converts them into one aggregated record 510 (S406).
  • the actual data conversion unit 112 can include final information in each process in the process data generated by the process described later.
  • the actual data conversion unit 112 may aggregate the columns 311 by any method. For example, when one column 311 of a plurality of aggregated actual data includes a cell value other than a NULL value in one cell and includes a NULL value in all other cells, the actual data conversion unit 112 may include a value other than the NULL value.
  • the cell value may be determined as the cell value in the column 311 of the aggregation record 510.
  • the actual data conversion unit 112 causes the cell value of the aggregated actual data with the youngest data generation date and time 310 ( (Other than NULL value) may be determined as the cell value in the column 311 of the aggregation record 510.
  • the aggregated record 510 illustrated in FIG. 7 is a result of the actual data 508 and the actual data 509 being aggregated.
  • the aggregate record 510 includes a data type 302 of aggregated actual data and a data generation date 310 (not shown).
  • the data occurrence date 310 of the aggregated record 510 includes the youngest data occurrence date 310 of the plurality of aggregated actual data.
  • the actual data conversion unit 112 determines that the parent model 304 and the child model 305 of the processing model 312 are The column 311 of the actual data acquired in step S403 and the column 311 of the aggregated record 510 are combined so as to map in the order of the data type 302 shown. Thereby, the actual data conversion unit 112 generates a plurality of columns 502 of the processing data 511, and generates processing data using the plurality of actual data (S407).
  • the processing data 511 includes a processing model name 500, a system 503, a data generation date / time 501, and a plurality of columns 502.
  • the process model name 500 is an identifier that uniquely identifies the process model, and corresponds to the process model name 313.
  • the system 503 indicates the identifier of the information system 107 from which the actual data used to generate the processing data 511 is collected.
  • Data generation date and time 501 indicates the oldest date and time when actual data used to generate the processing data 511 is generated.
  • the column 502 includes a column 311 of actual data.
  • step S407 the actual data conversion unit 112 acquires one actual data including the parent model 304 in the data type 302 and one actual data including the child model 305 in the data type 302.
  • the actual data conversion unit 112 acquires the aggregated record 510 as actual data.
  • each column 311 of the acquired actual data is joined in order from the parent to the child.
  • the actual data conversion unit 112 generates a plurality of columns 502 of the processing data 511.
  • the actual data conversion unit 112 identifies the value of the youngest data occurrence date 310 in the acquired actual data, and stores the identified data occurrence date 310 in the data occurrence date 501. Then, the actual data conversion unit 112 stores, in the process model name 500, an identifier unique to the process model pointed to immediately before (step S402 or step S408).
  • the actual data conversion unit 112 stores the identifier of the information system 107 that is the collection source of the acquired actual data in the system 503. As described above, the actual data conversion unit 112 generates the processing data 511.
  • the actual data conversion unit 112 when the child model 305 of the processing model 312 does not include a cell value other than the NULL value, the actual data conversion unit 112 generates processing data only with the actual data indicated by the parent model 304.
  • the actual data conversion unit 112 After generating the processing data 511, the actual data conversion unit 112 points to the next processing model 312 (S408), and determines whether there is a processing model 312 that can be pointed in step S408 (S409). When the processing model 312 exists, the actual data conversion unit 112 repeats steps S403 to S407. When the processing model 312 does not exist, the actual data conversion unit 112 ends the processing illustrated in FIG.
  • the actual data conversion unit 112 stores the generated processing data 511 in the processing data 121 of the storage device 104 when the processing illustrated in FIG.
  • the actual data conversion unit 112 can generate the processing data 511 obtained by integrating the actual data generated in one process in the order of generation. For this reason, in the processing described later, the analysis apparatus 103 extracts a plurality of related processing data 511, and specifies the order in which the extracted processing data 511 is generated, thereby providing one of the information systems 107 provided. It is possible to specify the order in which a plurality of processes are executed in a business.
  • FIG. 8 is a flowchart showing the process of specifying the transition order between the process models of this embodiment. The process shown in FIG. 8 is included in step S133 shown in FIG.
  • FIG. 9 is an explanatory diagram showing the transition order specified by the order specifying unit 113 of this embodiment.
  • the order specifying unit 113 acquires all the processing data 511 from the storage device 104 (S601).
  • the processing data 511 acquired here is based on a plurality of processing models 312 (a plurality of processing models 312 generated based on the plurality of actual data) collected from all the information systems 107. This is processed data as a result of conversion.
  • the order specifying unit 113 sorts all the acquired processing data 511 using the data generation date and time 501 as a key (S602).
  • the order specifying unit 113 points to the first data (hereinafter, processing data A) of the sorted processing data 511 (S603), and acquires the key cell value 702 of the processing data A (S604).
  • the key cell value 702 is a cell value of one column 502, and the order specifying unit 113 acquires the value of an arbitrary column 502 as the key cell value 702.
  • the order specifying unit 113 may acquire the cell value of any column 502 as the key cell value 702, but the column 502 to be acquired as the key cell value 702 may be designated in advance by an operator or the like. For example, the order specifying unit 113 may acquire the key cell value 702 from the column 502 corresponding to the column 311 indicated by the parent cell name 306 and the child cell name 307 of the processing model 312. Accordingly, the order specifying unit 113 can reduce useless processing and improve processing speed.
  • the order specifying unit 113 starts processing data 511 including the column 502 in which the cell value matches the key cell value 702 of the processing data A from the processing data 511 whose data generation date and time 501 is later than the processing data A (hereinafter, processing data B). Specify (S605).
  • the order specifying unit 113 may determine a completely matching cell value as a matching cell value, or may determine a cell value including a common value as a matching cell value. In addition, when the matching cell value condition is designated in advance, the order specifying unit 113 may determine that the cell value matches according to the designated condition.
  • the order specifying unit 113 determines whether the processing data B has been specified (S606).
  • the process data A and the process data B are related process data including actual data generated by a plurality of related processes.
  • the order specifying unit 113 determines the anteroposterior relationship between the processing data A and the processing data B in ascending order of the data generation date / time 501 between the processing data A and the processing data B. Further, the order specifying unit 113, based on the context of the processing data A and the processing data B, the processing model 312 indicated by the processing model name 500 of the processing data A and the processing model 312 indicated by the processing model name 500 of the processing data B. The order of the transition is specified (S607).
  • the order of transitions determined here indicates that the process model 312 indicated by the process model name 500 of the process data A transitions to the process model 312 indicated by the process model name 500 of the process data B.
  • the order specifying unit 113 can specify the order of the actual data generated in each of the processes performed in cooperation by specifying the processing data B with respect to the processing data A, and the work provided by the plurality of information systems 107 , It is possible to specify the order of processing performed in cooperation. Moreover, since the order specifying unit 113 can specify the order of transition of the processing model 312 indicating the data type of the actual data, the data type is different from the cell value in the column 502 of the processing data A and the processing data B. The same transition order can be applied to process data including cell values of the same actual data.
  • the order specifying unit 113 generates the processing model transition order 704 based on the processing data A and the processing data B determined in step S607.
  • the processing model transition order 704 indicates the order in which the processing model 312 transitions, and abstractly represents the processing flow of actual data (processing data). For this reason, the processing model transition order 704 can be applied to actual data (or processing data) of the same type.
  • the process model transition order 704 includes a transition structure name 705, a process model From 706, a system 710, a process model To 707, a system 711, a cell name From 708, and a cell name To 709.
  • the transition structure name 705 includes an identifier for identifying the transition structure of the processing model 312.
  • a processing model From 706 indicates a processing model 312 for processing data generated earlier.
  • a system 710 indicates an information system 107 that is a collection source of actual data used to generate the processing model 312 indicated by the processing model From 706.
  • the processing model To 707 indicates a processing model 312 for processing data to be generated later.
  • a system 711 indicates the information system 107 that is a collection source of actual data used to generate the processing model 312 indicated by the processing model To707.
  • the cell name From 708 indicates the name (or identifier) of the column 502 in the processing data A including the key cell value 702 when the processing data B is specified.
  • the cell name To 709 indicates the name (or identifier) of the column 502 in the processing data B including the key cell value 702 when the processing data B is specified.
  • the cell name From 708 and the cell name To 709 indicate the basis for determining that the processing is related.
  • the order specifying unit 113 stores the processing model name 500 of the processing data A in the processing model From 706 and stores the processing model name 500 of the processing data B in the processing model To 707. Further, the name of the key cell value 702 of the processing data A is stored in the cell name From 708, and the name of the column of the processing data B including the same cell value as the key cell value 702 is stored in the cell name To709. In addition, a unique identifier is stored in the transition structure name 705.
  • the order specifying unit 113 stores the system 503 of the processing data A in the system 710 and stores the system 503 of the processing data B in the system 711.
  • the order specifying unit 113 When a plurality of process data B can be specified in step S606, the order specifying unit 113 includes information indicating the process model of the process data A and information indicating the process model of the plurality of process data B in the process model transition order 704. Are stored in the order of data generation date and time 501. In this case, the order specifying unit 113 stores the order so that the order can be identified, such as processing models A, B, and C.
  • step S606 When it is determined in step S606 that the processing data B cannot be specified, or after step S607, the order specifying unit 113 moves the pointer pointed to the processing data A to the next processing data, and a new process is performed. Data A is pointed (S608).
  • the order identifying unit 113 determines whether there is next processing data that can be pointed (S609), and if present, repeats steps S604 to S607, and if not, ends the processing shown in FIG.
  • the order specifying unit 113 stores the generated process model transition order 704 in the transition order 117 of the storage device 104 when the process illustrated in FIG.
  • FIG. 10 is a flowchart showing a process for specifying a condition for transition of the process model of this embodiment. The process shown in FIG. 10 is included in step S133 shown in FIG. 3, and is executed after the process shown in FIG.
  • FIG. 11 is an explanatory diagram showing the transition conditions of the processing model specified by the condition specifying unit 114 of the present embodiment.
  • condition specifying unit 114 acquires the processing model transition order 704 from the storage device 104 (S801).
  • the condition specifying unit 114 points to the first data in the acquired processing model transition order 704 (S802).
  • the condition specifying unit 114 acquires the processing data 511 corresponding to the pointed processing model transition order 704 (S803). Specifically, the condition specifying unit 114 acquires the processing data 511 in which the processing model From 706 corresponds to the processing model name 500 and the processing data 511 in which the processing model To 707 corresponds to the processing model name 500 from the storage device 104. .
  • the process data 901 and 902 shown in FIG. 11 are process data acquired when the process model From 706 is “process model 1”.
  • the processing data 907 is processing data acquired when the processing model To 707 is “processing model 2”.
  • the condition specifying unit 114 arranges the processing data 511 according to the data generation date 501 for each processing model name 500. Then, the condition specifying unit 114 acquires a plurality of process data 511 having the same process model name 500 as a plurality of condition determination data. Then, the column 502 in which the cell value transitions between the plurality of condition determination data is specified from the plurality of columns 502 included in the plurality of condition determination data (S804).
  • the condition specifying unit 114 may use any condition and method for specifying the column 502 in which the cell value transitions in step 804.
  • the condition specifying unit 114 when a value is stored in one column 502 between a plurality of condition determination data in the format of year, month, and date, the condition specifying unit 114 includes a cell storing a null value and a value indicating the date It is determined whether or not a cell in which is stored is included. When both the Null value and the value indicating the date are included in one column 502 of the plurality of processing data 511, the condition specifying unit 114 determines that the cell value transitions and specifies this one column 502. Also good.
  • the processing data 901 and 902 shown in FIG. 11 include a cell indicating a value indicating the date and a cell 903 indicating a Null value in the column 502 of “order received date”. Therefore, the condition specifying unit 114 specifies the “order date” column 502 as the column 502 in which the cell value transitions.
  • condition specifying unit 114 when one cell 502 between a plurality of processing data 511 does not include a null value but the cell value changes, this one column 502 is changed to a column 502 in which the cell value transitions. You may specify.
  • the processing data 901 and 902 shown in FIG. 11 include different cell values of “None” and “Yes” in the “Existence presence / absence” column 502. Therefore, the condition specifying unit 114 specifies the column 502 “existence / non-extended” as the column 502 in which the cell value transitions.
  • the column 502 specified here indicates the content of actual data whose value changes in the process, and indicates a condition for the process to transition for the user or the like.
  • the condition specifying unit 114 determines whether the column 502 in which the cell value transitions can be specified (S805). If it can be specified, the condition specifying unit 114 determines the content of the specified column 502 as the transition condition corresponding to the processing model transition order 704 pointed to in step S802. Then, the condition specifying unit 114 generates a transition condition 904 using the information of the processing data 511 of the specified column 502 (S806).
  • the condition specifying unit 114 specifies the contents of cell values that change in a plurality of procedures executed in cooperation in one process.
  • the cell value of actual data changes, for example, when the user newly sets a cell value in each procedure by the information system 107. Therefore, the condition specifying unit 114 can generate information indicating the contents of the procedure performed in the processing by the information system 107 as the transition condition 904 by specifying the contents of the changing cell value.
  • the transition condition 904 includes a transition structure name 905 and a transition condition 906.
  • the transition structure name 905 corresponds to the transition structure name 705.
  • a transition condition 906 indicates a column 502 whose value changes as the process changes.
  • step S806 the condition specifying unit 114 stores the processing model name 500 of the specified processing data 511 of the column 502 and the extracted name (or identifier) of the column 502 in the transition condition 906.
  • the condition specifying unit 114 stores the transition structure name 705 of the processing model transition order 704 pointed at in step 802 in the transition structure name 905. As a result, a transition condition 904 is generated.
  • condition specifying unit 114 sets “processing model 1. order date” as the transition condition 906.
  • the condition specifying unit 114 stores a value indicating that there is no transition condition in the transition condition 906. In the process illustrated in FIG. 10, the condition specifying unit 114 indicates that there is no transition condition by storing the data generation date 501 of the process data 511 in the transition condition 906.
  • the condition specifying unit 114 sets the processing model name 500 and the data generation date 501 to the transition condition 906. And a transition condition 904 is generated (S807).
  • condition specifying unit 114 After generating the transition condition 904, the condition specifying unit 114 points to the next processing model transition order 704 (S808), and determines whether the pointed processing model exists (S809). If it exists, steps S803 to S808 are repeated. If it does not exist, the processing in FIG. 10 is terminated.
  • condition specifying unit 114 stores the generated transition condition 904 in the transition condition 118 of the storage device 104.
  • the transition structure display unit 119 After the processing shown in FIG. 10, the transition structure display unit 119 generates and outputs data on the transition condition display screen 1001 that displays the order of transition of the processing model and the transition conditions in step S134, and outputs the data.
  • a condition display screen 1001 is displayed.
  • FIG. 12 is an explanatory diagram showing a transition condition display screen 1001 generated by the transition structure display unit 119 of the present embodiment.
  • the transition condition display screen 1001 is a screen that displays the transition structure and transition conditions specified from the collected actual data in accordance with instructions from the operator or the like.
  • the transition condition display screen 1001 includes a transition structure 1002, a transition condition 1003, and a display area 1007.
  • the transition structure 1002 is an area for allowing an operator or the like to select the transition structure of the processing model to be displayed.
  • the transition condition 1003 is an area for allowing an operator or the like to select the transition condition of the processing model to be displayed.
  • the transition structure 1002 and the transition condition 1003 are combo boxes in which ranks can be selected.
  • the display area 1007 is an area for displaying the transition structure and the transition condition according to the selection in the transition structure 1002 and the transition condition 1003.
  • the display area 1007 displays the transition order corresponding to the transition structure 1002 by arranging information indicating the processing model horizontally.
  • the display area 1007 displays a header area 1004, a header area 1005, a header area 1006, and a cell value 1008 as information indicating a processing model.
  • the header area 1004 indicates the information system 107 from which the processing model has been acquired.
  • the header area 1006 includes the name of the column 502 indicated by the transition condition 906 and indicates the transition condition.
  • a header area 1005 indicates a key cell value of processing data including the column 502 indicated by the transition condition 906.
  • the transition structure display unit 119 performs the following processing to generate the transition condition display screen 1001.
  • the transition structure display unit 119 refers to the transition order 117 of the storage device 104, and the processing model transition order 704 has the same combination of processing model From 706, processing model To 707, cell name From 708, and cell name To 709 (that is, transition structure). Calculate the number of records.
  • the transition structure display unit 119 assigns ranks to the transition structures in descending order of the calculated number of records. In the example shown in FIG. 12, the transition structure display unit 119 assigns a lower number ranking to the transition structure as the number of records increases.
  • the transition structure display unit 119 refers to the transition condition 118 of the storage device 104 and calculates the number of records with the same transition condition 906 for each transition structure (transition structure name 905). Then, the transition structure display unit 119 assigns ranks to the cell values of the transition conditions 906 (hereinafter referred to as transition conditions) in the descending order of the number of calculated records. In the example illustrated in FIG. 12, the transition structure display unit 119 assigns a lower number ranking to the transition condition as the number of records increases.
  • the transition structure display unit 119 displays the rank on the transition structure 1002 and the transition condition 1003, and accepts designation of the rank from the operator or the like.
  • the transition structure display unit 119 acquires the processing model transition order 704 indicating the transition structure of the received order from the transition order 117, and displays the system 710 and the system 711 of the acquired processing model transition order 704 as a header area 1004. 1007 is displayed.
  • the transition structure display unit 119 acquires the transition condition 904 based on the acquired transition structure name 705 of the processing model transition order 704, and displays the name of the column 502 indicated by the transition condition 906 of the acquired transition condition 904 as a header. An area 1006 is displayed in the display area 1007. In addition, the transition structure display unit 119 displays the key cell value of the processing data 511 including the column 502 indicated by the transition condition 906 in the display area 1007 as the header area 1005.
  • the transition structure display unit 119 acquires the key cell value and the cell value of the column 502 corresponding to the transition condition 906 from the processing data 511 and stores them in the cell value 1008.
  • the transition structure display unit 119 may display information indicating three or more process models in the display area 1007. .
  • the transition structure display unit 119 repeatedly displays From and To of the transition structure from the left side as the display order of the transition structure shown in FIG.
  • transition condition display screen 1001 displays the transition order
  • the operator or the like can grasp the order of processing performed in cooperation with the business.
  • the operator or the like can grasp the contents of the cell value that changes while the procedure in the process is executed, and can display the contents of the procedure to be executed. I can grasp.
  • transition structure display unit 119 displays the transition structure and the transition condition according to the assigned order, the operator or the like can grasp the transition structure and the transition condition specified with higher accuracy.
  • the processing data display unit 120 displays the data on the processing data display screen 1101 that displays the actual data included in the processing data as a screen for displaying the actual data and the processing data in step S134. Generate and output. As a result, the processing data display unit 120 displays the processing data display screen 1101.
  • FIG. 13 is an explanatory diagram showing a processing data display screen 1101 generated by the processing data display unit 120 of this embodiment.
  • the processing data display screen 1101 is a screen for displaying the processing data 511 generated based on the collected actual data.
  • the processing data display screen 1101 includes a processing model 1102, a display area 1103, and a display area 1105.
  • the processing model 1102 shown in FIG. 13 is a combo box for selecting the order assigned to the processing model 312.
  • the processing data display unit 120 switches the contents of the display areas 1103 and 1105 according to the order selected in the processing model 1102. Display areas 1103 and 1105 indicate the contents of actual data included in the processing data.
  • the processing data display unit 120 acquires the processing data 511 from the storage device 104, and calculates the number of processing data 511 for each processing model name 500. Then, the processing data display unit 120 assigns ranks to the processing models 312 according to the calculated number of processing data 511. In the example illustrated in FIG. 13, the processing data display unit 120 assigns a lower number ranking to the processing model 312 as the calculated processing data 511 increases.
  • the processing data display unit 120 accepts the order selected in the processing model 1102 and extracts the actual data included in the processing data 411 of the processing model 312 of the accepted order from the actual data 115 of the storage device 104. Then, the processing data display unit 120 displays the data type 302 and the column 311 of the acquired actual data in the display areas 1103 and 1105.
  • the display area 1103 shown in FIG. 13 shows actual data whose data type 302 is “order header”. Further, the display area 1105 shown in FIG. 13 shows actual data whose data type 302 is “order details”.
  • the operator or the like can grasp the actual data generated in one process in the order of the procedures.
  • an operator or the like can grasp the processing model specified based on a lot of actual data, and the processing model specified with high accuracy can be obtained. I can grasp it.
  • the analysis apparatus 103 summarizes a plurality of actual data as processing data for each processing unit of the information system 107 based on the processing model indicating the relevance of the plurality of actual data. Based on the context of the plurality of processing data, the transition order and transition conditions of the processing model are specified. As a result, when viewing the transition order and transition conditions, the operator or the like can grasp the actual data acquired from a plurality of information systems 107 by integrating them in accordance with the flow of processing linked in one business. is there.
  • the analysis apparatus 103 in the present embodiment has a definition for collecting data held by the plurality of information systems 107, and a conversion definition for converting the collected actual data into data that can be compared with other data.
  • Real data can be integrated without setting. Further, by specifying the context between the processing data, it is possible to specify the processing data generated by the linked processing.
  • this invention is not limited to the above-mentioned Example, Various modifications are included.
  • the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described.
  • a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment.
  • each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit.
  • each of the above-described configurations, functions, etc. includes information on programs, tables, files, etc. that the processor realizes the respective functions, such as memory, hard disk, SSD (Solid State Drive) recording device, IC card, SD It can be placed on a recording medium such as a card or DVD.
  • SSD Solid State Drive
  • control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

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Abstract

La présente invention permet de collecter une pluralité de données réelles à partir d'une pluralité de systèmes d'informations conservant la pluralité de données réelles ; de générer un modèle de traitement, qui indique les relations entre la pluralité de données réelles, pour chaque système d'informations qui constitue la source de collecte de la pluralité de données réelles ; de générer des données traitées au moyens de la pluralité de données réelles pour chaque système parmi les systèmes d'informations de source de collecte par liaison entre elles des données de la pluralité de données réelles conformément au modèle de traitement ; et de spécifier les relations entre la pluralité de données traitées mémorisées dans une unité de mémorisation pour spécifier ainsi une séquence dans laquelle un modèle de traitement fait l'objet d'une transition entre une pluralité de modèles de traitement et une condition selon laquelle les données traitées générées sur la base de la pluralité de modèles de traitement font l'objet d'une transition.
PCT/JP2015/070968 2015-07-23 2015-07-23 Dispositif, procédé et programme d'analyse WO2017013787A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006338274A (ja) * 2005-06-01 2006-12-14 Nippon Telegr & Teleph Corp <Ntt> 業務プロセスモデルの構造推定方法及びその装置
JP2009245117A (ja) * 2008-03-31 2009-10-22 Nippon Telegr & Teleph Corp <Ntt> 業務プロセスモデル比較方法、その装置およびプログラム
JP2010271806A (ja) * 2009-05-20 2010-12-02 Fujitsu Ltd 業務フロー処理プログラム、方法及び装置
JP2011100238A (ja) * 2009-11-05 2011-05-19 Fujitsu Ltd 業務プロセス構造推定方法、プログラム及び装置
WO2013153629A1 (fr) * 2012-04-11 2013-10-17 株式会社日立製作所 Dispositif de traitement d'informations, procédé de traitement d'informations et programme

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006338274A (ja) * 2005-06-01 2006-12-14 Nippon Telegr & Teleph Corp <Ntt> 業務プロセスモデルの構造推定方法及びその装置
JP2009245117A (ja) * 2008-03-31 2009-10-22 Nippon Telegr & Teleph Corp <Ntt> 業務プロセスモデル比較方法、その装置およびプログラム
JP2010271806A (ja) * 2009-05-20 2010-12-02 Fujitsu Ltd 業務フロー処理プログラム、方法及び装置
JP2011100238A (ja) * 2009-11-05 2011-05-19 Fujitsu Ltd 業務プロセス構造推定方法、プログラム及び装置
WO2013153629A1 (fr) * 2012-04-11 2013-10-17 株式会社日立製作所 Dispositif de traitement d'informations, procédé de traitement d'informations et programme

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