JP4873267B2 - Data collection system, analysis device, analysis method, and program - Google Patents

Description

  The present invention relates to a data collection system or the like that collects data related to operation of equipment such as a production apparatus constituting a production line.

  The conventional first data collection system is a system that facilitates the acquisition of the latest information on equipment abnormality (see, for example, Patent Document 1).

  Further, the second conventional data collection system has at least a lamp output, a buzzer output, or a sensor output indicating the operating state of the production facility, which is ON / OFF indicating the start state, standby state, failure state, or stop state of the production facility. An interface for converting to an OFF signal; and at least a start state, a standby state, a failure state, a stop state, a failure factor or a stop factor data connected to the interface, and a start or end time of each state A facility operating state recording device for recording, wherein the facility operating state recording device has a plurality of candidates assigned to a plurality of candidates for failure factors or stop factors of the production facility on the display unit. Factor input key is installed, and the equipment operating state according to the input signal pattern from the interface Among the factor input keys on the display unit of the recording apparatus, a corresponding candidate factor input key can be input and assigned to the factor input key by an input operation of the factor input key selectively performed by an operator. The factor data thus recorded is recorded as data representing the failure factor or stop factor of the production facility, and a new factor input key can be input by the operator's input operation of the end key to end the failure factor or stop factor. The system is characterized in that the time of the end key input operation is recorded as a new factor or the start of a standby state (see Patent Document 2).

  The third conventional data collection system is a production management system for managing a plurality of devices connected to a network in a specific area, and the controller of the equipment belonging to each of the devices is in the specific area. A communication port for connecting to an independent network different from the network is provided, and the controller performs at least one of data collection, statistics, processing, and storage regarding the device, and the independent network from the controller Various kinds of information obtained based on the data are transferred to a maintenance management computer connected to the computer, and the maintenance management computer records and displays the transferred information to control, monitor, manage, and This is a system that performs at least one of maintenance (see Patent Document 3).

  The conventional fourth data collection system includes a first LAN, a second LAN, and a separation unit and a storage unit connected between the first and second LANs, and the separation unit. Is a network system characterized in that the first and second LANs are separated so as not to affect each other, and the storage means is controlled to be accessible from both the first and second LANs. Yes (see, for example, Patent Document 4).

  Further, the fifth conventional data collection system is a system of a production apparatus that can appropriately consider measures for shortening the failure stop time according to factors (for example, see Patent Document 5).

In addition, the conventional sixth data collection system has a dedicated monitoring PLC installed between the sequencer of multiple facilities and the PC. In the PLC of each facility, the operating status, cycle time, number of production, etc. And the factor when the equipment is abnormally stopped are encoded and output to the monitoring dedicated PLC as a BCD (binary decimal system) signal. The monitoring dedicated PLC continuously monitors the PLC of each facility, calculates the collected data to the operating rate, etc., and totals the stop history, the number of stops by factor / equipment, and secures data in the register. In addition, the PC captures these data into a spreadsheet software, and constantly monitors the operating state of the facility, and creates a daily / monthly report and analyzes the data (see Patent Document 6).
Japanese Unexamined Patent Publication No. 2002-269664 (first page, FIG. 1 etc.) Japanese Patent No. 3616200 (first page, FIG. 1 etc.) JP-A-6-301617 (first page, FIG. 1 etc.) International Publication No. 00/28700 pamphlet (first page, Fig. 1 etc.) JP-A-11-184518 (first page, FIG. 1 etc.) JP 2003-50624 A (first page, FIG. 1 etc.)

  However, the conventional first to sixth data collection systems have a problem that the data collection system cannot be easily incorporated into production facilities such as existing production apparatuses. Specifically, in the conventional first to sixth data collection systems, in order to collect the operation information of the existing production equipment, the production equipment is modified or the programmable controller installed in the production equipment is used. The sequence program had to be changed significantly.

  In addition, in the conventional first to sixth data collection systems, it has not been possible to sufficiently analyze the operating state of the production apparatus. Specifically, since it is not possible to acquire information such as worker movement time information and recovery work time information when an abnormality occurs, it was not possible to take necessary measures at the production site. In addition, since it was not possible to acquire the occurrence rate of each state including an abnormal state, duration, frequency, and the like for each production device, it was not possible to take measures such as productivity improvement and quality improvement at the production site.

  The data collection system of the first invention includes a branch device installed between a production device and an output device that outputs contact information that is information relating to the operation of the production device, a network device, a data collection device, A data collection system including an analysis device, wherein the branching device acquires contact information from the production device, a contact information acquisition unit, and transfers the contact information acquired by the contact information acquisition unit to the output device. And an output unit that transmits contact related information that is information related to the contact information to the network device, the network device receiving a first contact related information receiving unit that receives the contact related information from the branch device; A first contact-related information transmitting unit that transmits the contact-related information received by the first contact-related information receiving unit to the data collecting device; Is an operation information log storage unit that can store the contact related information, a second contact related information receiving unit that receives contact related information from the network device, and a contact related information received by the second contact related information receiving unit. Is stored in the operation information log storage unit, and the analysis device acquires a contact related information acquisition unit that acquires one or more contact related information from the operation information log storage unit, and the contact related A data collection system comprising: an analysis unit that processes one or more contact-related information acquired by an information acquisition unit and acquires predetermined information; and an analysis result output unit that outputs the predetermined information acquired by the analysis unit is there.

  With such a configuration, it is possible to easily obtain information on the operation of the production apparatus without modifying the equipment or changing the sequence program such as the programmable controller installed in the equipment, and regarding the operation of the production equipment. Analysis is possible.

  Further, in the data collection system of the second invention, in contrast to the first invention, the analysis unit is worker movement time information which is information relating to a worker movement time based on two or more contact-related information. And a data collection system that acquires recovery work time information that is information related to the recovery work time.

  With this configuration, it is possible to appropriately analyze the collected operation information log. By such analysis, for example, it is possible to take solutions such as the necessity of increasing the number of workers and the necessity of procedural recovery work.

  Moreover, the data collection system of this 3rd invention is related with the time until it turns off after the buzzer turns on based on 2 or more contact related information with respect to 2nd invention. Based on worker movement time information acquisition means for acquiring information and information on the time as worker movement time information, and two or more contact-related information, the production apparatus 3. The data collection system according to claim 2, further comprising recovery work time information acquisition means for acquiring information related to a time until normal operation and using the information related to the time as recovery work time information.

  With this configuration, it is possible to easily acquire information regarding the operation of the production apparatus without changing the work procedure of the conventional field worker. That is, in the conventional normal production apparatus, when a failure occurs, the worker is notified by a buzzer. When the worker hears the buzzer sound, the worker moves to the production apparatus and stops the buzzer sound by pressing a button or the like for stopping the buzzer sound. This is a process that is normally performed to inform other workers that a failure-response worker has arrived. In other words, if the buzzer sound remains, an inefficient situation occurs in which two or more workers move to the production apparatus in order to deal with the failure. With this configuration, it is possible to acquire information related to the operation of the production apparatus without changing such normal processing.

  The data collection system according to the fourth aspect of the present invention is the data collection system according to the third aspect, wherein the analysis result output unit performs the work based on the worker movement time information acquired by the worker movement time information acquisition means. The movement time which forms and outputs a histogram having the movement time of the worker indicated by the worker movement time information and the frequency of the movement of the movement time or / and the total time of one or more movements of the movement time as two axes. Based on the recovery work time information acquired by the histogram output means and the recovery work time information acquisition means, the recovery time indicated by the recovery work time information, the frequency at which the recovery of the recovery time occurred, and / or the recovery time This is a data collection system comprising a recovery work time histogram output means for constructing and outputting a histogram having two or more total times of at least one recovery.

  Such a configuration facilitates measures at the production site. That is, if the travel time is displayed in a histogram, it can be understood whether the travel time is often long or short when the stop occurs, and if it is long, there is a problem in the arrangement of workers. In addition, if the recovery time is displayed as a histogram, it can be determined whether the recovery time is often long or short when a stop occurs. If the recovery time is long, it means that stoppages frequently occur, and it is understood that countermeasures against stoppages are necessary, and if the recovery time is short, it means that stoppages occur frequently, and it is understood that countermeasures for stoppages are necessary. In this way, by performing the histogram display, it is possible to support the determination of the countermeasure method for the equipment. The chocolate stop is a facility stop with a short stop time that can be recovered by a relatively simple countermeasure such as a transport jam. A doka stop is a facility that has a relatively long downtime, such as when there is no clear way to share such as a manual failure that can only be handled by skilled workers due to equipment failure. Say stop.

  In the data collection system according to the fifth aspect of the present invention, the contact-related information includes time information that is information related to time, with respect to any one of the second to fourth aspects of the invention. The data collection system further includes a correction unit that corrects the worker movement time information and the recovery work time information based on the time for acquiring the state information that is information regarding the state of the worker.

  With such a configuration, it is possible to acquire the time of an accurate state change (failure occurrence, recovery, etc.) of the production apparatus, and as a result, it becomes easy to elucidate the cause of the failure occurrence.

  Further, in the data collection system of the sixth invention, in contrast to the first invention, the analysis unit includes an operation information statistical processing means for calculating the total duration of each state indicated by each state information of the production apparatus. The analysis result output unit is a data collection system that outputs a graph of the occurrence rate of each state based on the total duration of each state indicated by each state information calculated by the operation information statistical processing means.

  With this configuration, it is possible to easily grasp the occurrence ratio of each state for each production device, and it is possible to easily take measures such as productivity improvement and quality improvement at the production site.

  Further, in the data collection system of the seventh invention, in contrast to the first invention, the analysis unit calculates an operation information statistical process for calculating a duration or / and a frequency of each state indicated by each state information of the production apparatus. And the analysis result output unit is a data collection system that outputs a histogram indicating the frequency of each state based on the duration or / and frequency calculated by the operation information statistical processing unit.

  With this configuration, the duration or / and frequency of each state can be easily grasped for each production device, and measures such as productivity improvement and quality improvement at the production site can be easily taken.

  Further, in the data collection system of the eighth invention, in contrast to the first invention, the analysis unit calculates the ON duration and frequency of each state indicated by each state information of the production apparatus, and each state It comprises operation information statistical processing means for calculating the duration and frequency of OFF of each state indicated by the information, and the analysis result output unit is the ON duration and frequency of each state calculated by the operation information statistical processing means, The data collection system outputs an ON histogram and an OFF histogram, which are histograms showing the ON and OFF frequencies of each state, using the OFF duration and frequency of each state.

  With this configuration, it is possible to clearly classify the occurrence tendency of the operating state.

  Further, in the data collection system of the ninth aspect of the invention, in contrast to the eighth aspect of the invention, the operation information statistical processing means further includes a state ON duration and frequency and / or a state OFF duration. An occurrence type that is a type of occurrence of a state is determined from the frequency, and the analysis result output unit is a data collection system that further outputs the occurrence type.

  With this configuration, it is possible to more clearly classify the occurrence tendency of the operating state.

  In the data collection system of the tenth aspect of the invention, in contrast to the eighth aspect of the invention, the analysis unit stores state specification information, which is information for specifying the state, and one or more occurrence types in association with each other. Further comprising state identification information storage means, wherein the operation information statistical processing means further determines the state occurrence type from the state ON duration and frequency and / or the state OFF duration and frequency. It is a data collection system that determines a certain occurrence type, searches the state specifying information storage means from the occurrence type, acquires the state specifying information, and the analysis result output unit further outputs the state specifying information .

  With this configuration, it is possible to clearly classify the occurrence tendency of the operation state and easily identify the state.

  In addition, the data collection system of the eleventh aspect of the invention is different from the ninth or tenth aspect in that the occurrence type is “long-time frequent type”, “short-time frequent type”, “long-time sporadic type”, “short One of “time sporadic type”.

  Further, the data collection system of the twelfth aspect of the present invention is the operation information statistic for calculating the OFF duration and frequency of each state indicated by each state information of the production apparatus. The analysis result output unit outputs an OFF histogram, which is a histogram indicating the OFF frequency of each state, using the OFF duration and frequency of each state calculated by the operation information statistical processing unit. It is a data collection system.

  With this configuration, it is possible to clearly classify the occurrence tendency of the operating state.

  According to the data collection system of the present invention, for example, it is possible to collect production facility operation information without greatly affecting existing production facilities.

Hereinafter, embodiments of a data collection system and the like will be described with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again.
(Embodiment 1)

  FIG. 1 is a basic configuration diagram of a production system according to the present embodiment. The production system includes one or more production apparatuses 11, one or more sequencers 12, one or more data collection systems 13, and one or more output apparatuses 14. Usually, the production apparatus 11, the sequencer 12, and the output apparatus 14 are a set. In this production system, one data collection system 13 is incorporated into one or more sets of the production apparatus 11, the sequencer 12, and the output apparatus 14. Each set of the production apparatus 11, the sequencer 12, and the output apparatus 14 is, for example, a production facility that is already in operation.

  The production apparatus 11 is an apparatus that produces electrical equipment, machines, other products, parts, and the like, and the articles to be produced are not limited.

  The sequencer 12 is a dedicated controller (computer) that realizes sequence control by turning ON / OFF the output device in accordance with a command signal (for example, ON / OFF) of the input device. Here, the sequencer 12 receives contact information that is information related to the operation of the production apparatus 11, passes it to the output apparatus 14, and controls the output apparatus 14. The sequencer 12 includes all controllers and computers that perform a series of control monitoring of the production apparatus 11 such as a programmable controller (PC), a sequence controller, and a programmable logic controller (PLC). Contact information includes, for example, information indicating ON / OFF of a buzzer, information indicating lighting, blinking, extinction, etc. of a warning light of a color such as red, yellow, or green (for example, realized by an LED or a fluorescent light), This is information indicating the number of articles produced in the production apparatus 11. The data structure of contact information does not matter.

  The data collection system 13 is a system that acquires contact information that is information related to the operation of the production apparatus 11. The contact information is information acquired from one or more contacts. The information of each contact constituting the contact information is information of ON or OFF pulse. The data collection system 13 is installed between the production apparatus 11 and the output apparatus 14 that outputs contact information that is information related to the operation of the production apparatus 11. This “between” is not a spatial interval, but at least a part of the data collection system 13 (here, a branching device 131 described later) obtains a signal from the production device 11 and sends it to the output device 14. It means to transfer. In this transfer, the obtained signal may be passed as it is or may be processed and passed. Here, the data collection system 13 accepts contact information from the sequencer 12. The data collection system 13 may be configured to receive contact information directly from the production apparatus 11. In such a case, the sequencer 12 is not necessary.

  The output device 14 outputs contact information. For example, the output device 14 outputs contact information to a warning light (for example, realized by an LED) or outputs a buzzer sound. In addition, the output mode of the contact information in the output device 14 does not matter. The output is a concept including transmission to another device (for example, a device having a display unit), storage in a recording medium, and the like.

  The data collection system 13 includes one or more branch devices 131, one or more network devices 132, a data collection device 133, and an analysis device 134. In the data collection system 13, the branch device 131 and the network device 132 are usually one set. The data collection system 13 normally includes two or more sets of branch devices 131 and network devices 132, one data collection device 133, and one analysis device 134.

  The branching device 131 acquires contact information that is information related to operation in the production device 11, transfers the contact information to the output device 14, and transmits the contact information to the network device 132. In the present embodiment, the branching device 131 acquires state information that is information relating to the state of the production device from the contact information, encodes the state information, and stores the contact related information that is encoded information in the network device 132. Send. The branching device 131 normally transfers the contact information to the output device 14 without any processing. However, the branching device 131 may process the contact information to change the data structure or the like and transfer it to the output device 14. Note that the contact-related information preferably includes time information that is information related to time. This time information is the time when the state indicated by the corresponding state information has occurred. Further, it is preferable that the contact-related information has a production apparatus ID that is information for identifying the production apparatus 11 that has generated the contact information.

  The network device 132 receives the contact related information transmitted from the branch device 131 and transmits it to the data collection device 133. The received contact related information and the transmitted contact related information may not have the same data structure.

  The data collection device 133 receives and accumulates contact-related information transmitted from the network device 132.

  The analysis device 134 acquires contact-related information stored in the data collection device 133 and performs analysis processing.

  FIG. 2 is a block diagram of the branch device 131 constituting the data collection system 13. The branch device 131 includes a contact information acquisition unit 1311, a state recognition unit 1312, a state coding unit 1313, an output unit 1314, and a code map setting unit 1315.

  The state encoding unit 1313 includes a code map storage unit 13131 and a contact related information acquisition unit 13132.

  The contact information acquisition unit 1311 acquires contact information from the production apparatus 11 indirectly (for example, via the sequencer 12) or directly. Here, the contact information acquisition unit 1311 acquires contact information of the production apparatus 11 from the sequencer 12. The contact information acquisition unit 1311 may receive contact information from the sequencer 12 or read contact information stored in the sequencer 12. The contact information acquisition method in the contact information acquisition unit 1311 does not matter. The contact information acquisition unit 1311 branches the contact information input from the sequencer 12, one of which is sent to the output unit 1314 for direct output to the output device 14 and the other is sent to the state recognition unit 1312 for state recognition. The contact information acquisition unit 1311 can be realized by an MPU, a memory, or the like. The contact information acquisition unit 1311 may be realized by a wireless or wired receiving unit. The processing procedure of the contact information acquisition unit 1311 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The state recognition unit 1312 acquires state information, which is information related to the state of the production apparatus 11, from the contact information acquired by the contact information acquisition unit 1311. The state includes, for example, a buzzer state that can take one of two states of on or off, and three types of warning lights that can take one of three states of lighting, blinking, or turning off (for example, , The colors are identified by red, yellow and green). The state may be considered as a combination of the states of the plurality of types of media (buzzer, warning light, etc.). There are, for example, 10 types of state patterns that are combinations of all states. A specific example of the state will be described later. The state information is information regarding the state of the production apparatus 11 that can be acquired from the contact information acquired by the contact information acquisition unit 1311. Here, the state information includes asynchronous information that is information that is generated asynchronously with the change in the state of the buzzer and the change in the state of the warning light. The asynchronous information is, for example, production number information that is information related to the production number in the production apparatus 11. Asynchronous information is, for example, information on switching of molds installed in the production apparatus 11, information on switching of resin used in the production apparatus 11, or when correcting a defective product once and re-inserting it. Re-input information, setup change information when setup change is performed, and the like. The state recognition unit 1312 can usually be realized by an MPU, a memory, or the like. The processing procedure of the state recognition unit 1312 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The state encoding unit 1313 converts the state information acquired by the state recognition unit 1312 into contact-related information that is a code. When the state information acquired by the state recognition unit 1312 includes asynchronous information, the state encoding unit 1313 is a code having a predetermined value regardless of other state information other than the asynchronous information acquired by the state recognition unit 1312. Convert to contact related information. The state encoding unit 1313 deletes other state information other than the asynchronous information, and configures contact related information that is a code only from the asynchronous information. In such a case, the state information other than the asynchronous information is handled by the analysis device 134 and the like, assuming that there is no change from the previous state. A method of specifically converting the state information into the contact related information by the state encoding unit 1313 will be described later. The status encoding unit 1313 can usually be realized by an MPU, a memory, or the like. The processing procedure of the status encoding unit 1313 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The code map storage unit 13131 includes state information that is information on the ON / OFF state of n (n is an integer of 2 or more) type information, and contact-related information that is a code with a bit number of (n-1) bits or less. The code map which is the information indicating the correspondence with is stored. The data structure of the code map does not matter. The code map only needs to be able to associate the state information with the contact related information. The status information is an “ON / OFF” pattern of n types of information. The status information includes, for example, information indicating that production of a predetermined number of articles has been completed, ON / OFF of a buzzer, ON / OFF of a red LED, ON / OFF of a yellow LED, ON / OFF of a green LED It is an ON / OFF pattern of five types of information. The contact related information is 4-bit information. The code map storage unit 13131 is preferably a non-volatile recording medium such as a hard disk or ROM, but can also be realized by a volatile recording medium such as a RAM.

  The contact related information acquisition unit 13132 acquires contact related information corresponding to the state information, which is one or more pieces of state information acquired by the state recognition unit 1312, from the code map storage unit 13131. Note that the contact-related information acquisition unit 13132 may search for a code map existing outside and acquire the contact-related information using the state information as a key. In such a case, the branching device 131 does not have the code map storage unit 13131. The contact related information acquisition unit 13132 can be usually realized by an MPU, a memory, or the like. The processing procedure of the contact related information acquisition unit 13132 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The output unit 1314 transfers the contact information acquired by the contact information acquisition unit 1311 to the output device 14 and transmits contact-related information that is information related to the contact information to the network device 132. The output unit 1314 normally transfers the contact information acquired by the contact information acquisition unit 1311 to the output device 14, and transmits the contact related information obtained by the state encoding unit 1313 to the network device 132. The output unit 1314 can be realized by a wireless or wired communication unit or a broadcasting unit.

  The code map setting unit 1315 stores the code map in the code map storage unit 13131. The code map setting unit 1315 accepts input of a code map from an input unit such as a keyboard or a mouse, for example, and accumulates it in the code map storage unit 13131. The code map setting unit 1315 may be considered to include input means such as a keyboard and a mouse.

  The network device 132 includes a first contact point related information receiving unit 1321 and a first contact point related information transmitting unit 1322.

  The first contact related information receiving unit 1321 receives contact related information from the branch device 131. The first contact-related information receiving unit 1321 is preferably a wireless communication unit, but can also be realized by a broadcast receiving unit or a wired communication unit.

  The first contact related information transmitting unit 1322 transmits the contact related information received by the first contact related information receiving unit 1321 to the data collection device 133. The first contact related information transmission unit 1322 is usually realized by a wireless or wired communication unit, but may be realized by a broadcasting unit. Note that the contact related information received by the first contact related information receiving unit 1321 and the contact related information transmitted by the first contact related information transmitting unit 1322 usually have the same data structure, but the network device 132 has a data structure. The conversion may be performed.

  FIG. 3 is a block diagram showing the configuration of the data collection device 133. The data collection device 133 includes an operation information log storage unit 1331, a second contact related information reception unit 1332, and an operation information log storage unit 1333.

  The operation information log storage unit 1331 can store contact related information. The operation information log storage unit 1331 is preferably a non-volatile recording medium such as a hard disk, but can also be realized by a volatile recording medium such as a RAM.

  The second contact related information receiving unit 1332 receives the contact related information from the network device 132. The second contact related information receiving unit 1332 is usually realized by a wireless or wired communication means, but may be realized by a means for receiving a broadcast.

  The operation information log storage unit 1333 stores the contact related information received by the second contact related information reception unit 1332 in the operation information log storage unit 1331. The operation information log accumulating unit 1333 can be usually realized by an MPU, a memory, or the like. The processing procedure of the operation information log storage unit 1333 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  FIG. 4 is a block diagram of the analysis device 134 constituting the data collection system 13. The analysis device 134 includes an instruction receiving unit 1341, a contact-related information acquisition unit 1342, a correction unit 1343, an analysis unit 1344, and an analysis result output unit 1345.

  The analysis unit 1344 includes a code map storage unit 13131, a state decoding unit 13441, a worker movement time information acquisition unit 13442, a recovery work time information acquisition unit 13443, an operation information statistical processing unit 13444, and a segment information storage unit 13445.

  The analysis result output unit 1345 includes a movement time histogram output unit 13451, a recovery work time histogram output unit 13453, and a statistical processing result output unit 13453.

  The instruction receiving unit 1341 receives an instruction to start analysis processing. The instruction input means may be anything such as a numeric keypad, a keyboard, a mouse, or a menu screen. The instruction receiving unit 1341 can be realized by a device driver of input means such as a numeric keypad or a keyboard, menu screen control software, or the like. The analysis device 134 may start the analysis triggered by the instruction reception unit 1341 receiving an instruction to start the analysis process, or automatically perform analysis when a predetermined time comes. You may start.

  The contact related information acquisition unit 1342 acquires one or more contact related information (hereinafter referred to as “operation information log” as appropriate) from the operation information log storage unit 1331. The trigger and timing at which the contact related information acquisition unit 1342 acquires the contact related information does not matter. Normally, when the instruction receiving unit 1341 receives a user instruction, the contact related information acquisition unit 1342 acquires contact related information. The contact-related information acquisition unit 1342 normally receives an operation information log from the data collection device 133 by communication means. The contact-related information acquisition unit 1342 is generally realized by a wireless or wired communication unit, but may be realized by a unit that receives a broadcast.

  The correction unit 1343 corrects the time information included in the contact related information based on the time when the state recognition unit 1312 acquires the state information. Usually, the correction unit 1343 holds the time for the state recognition unit 1312 to acquire the state information. However, the correction unit 1343 may correct the time information based on the time for acquiring the state information transmitted from the branch device 131 and accumulated in the data collection device 133, for example. The correction unit 1343 is shifted by the time when the state recognition unit 1312 acquires the state information, the time when the abnormality of the production apparatus 11 occurs, the time when the worker presses the buzzer stop button, and the recovery work is started. The time and the time when the restoration work is completed are corrected. Since the correction by the correction unit 1343 is time correction, when the worker movement time information and the recovery work time information include time information, an accurate time can be acquired and is effective. The correction unit 1343 can usually be realized by an MPU, a memory, or the like. The processing procedure of the correction unit 1343 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit). Further, the correction performed by the correction unit 1343 may be performed on one or more pieces of state information acquired by the state decoding unit 13441.

  The analysis unit 1344 processes one or more contact-related information acquired by the contact-related information acquisition unit 1342 and acquires predetermined information. Specifically, the analysis unit 1344 is, for example, worker movement time information, which is information related to a worker's movement time, and information related to a recovery work time, based on two or more contact-related information (operation information log). Get recovery work time information. Specifically, for example, in order to clarify the operation status of one or more production apparatuses 11, the analysis unit 1344 statistically processes one or more contact-related information and acquires statistical data. A specific example of the processing procedure of the analysis unit 1344 will be described later. The analysis unit 1344 can be usually realized by an MPU, a memory, or the like. The processing procedure of the analysis unit 1344 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The state decoding unit 13441 acquires, from the code map storage unit 13131, one or more pieces of state information corresponding to the one or more pieces of contact related information acquired by the contact point related information acquisition unit 1342. The state decoding unit 13441 can be normally realized by an MPU, a memory, or the like. The processing procedure of the state decoding unit 13441 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The worker movement time information acquisition unit 13442 acquires information on the time from when the buzzer is turned on until it is turned off, based on the one or more pieces of state information acquired by the state decoding unit 13441. It shall be the worker travel time information. The worker movement time information acquisition unit 13442 can be usually realized by an MPU, a memory, or the like. The processing procedure of the worker movement time information acquisition unit 13442 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  Based on the two or more contact-related information, the recovery work time information acquisition unit 13443 acquires information related to the time until the production apparatus 11 operates normally after the buzzer is turned off from on. Is the recovery work time information. The buzzer is normally turned off by a worker who performs a recovery work. The operation unit (for example, a button or a switch) for turning off the buzzer is usually provided in the production apparatus 11 or installed around the production apparatus 11. Then, the worker usually operates the operation unit for turning off the buzzer to turn off the buzzer. Then, for example, the sequencer 12 detects that the operation unit for turning off the buzzer has been operated, and passes it to the branch device 131. The recovery work time information acquisition unit 13443 can be usually realized by an MPU, a memory, or the like. The processing procedure of the recovery work time information acquisition unit 13443 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The operation information statistical processing unit 13444 performs statistical processing on the two or more pieces of state information acquired by the state decoding unit 13441 to obtain statistical data that is data for clarifying the operation state of the one or more production apparatuses 11. For example, the operation information statistical processing unit 13444 calculates, for each production apparatus 11, the total duration of the state indicated by each state information. The operation information statistical processing means 13444 calculates, for example, the duration and frequency of the state indicated by the status information, and determines the duration and frequency of each state of each production apparatus 11 based on the category information described later. Classify into the categories (groups) indicated by.

  The category information storage unit 13445 stores category information which is information about the category for which the operation information statistical processing unit 13444 performs statistical processing. The classification information is information for classifying a failure according to a duration that is a duration in which a certain state (for example, a state of “no work supply from the previous process”) lasts, for example, “within 1 minute to within 10 minutes, Until 1 minute ".

  The analysis result output unit 1345 outputs predetermined information that is a result obtained by the analysis unit 1344. Here, the output is a concept including display on a display, printing on a printer, transmission to an external device, storage on a recording medium, and the like. Specifically, the analysis result output unit 1345, for example, outputs a graph of the operating state of the production apparatus 11 (a specific example will be described later), and outputs a movement time histogram, a recovery work time histogram, and the like (specific example). Will be described later). Specifically, the analysis result output unit 1345 outputs, for example, the statistical data obtained by the operation information statistical processing unit 13444 as a graph. More specifically, the analysis result output unit 1345, for each facility, for example, from the total duration of each state indicated by each state information, the occurrence rate (time ratio) of the state indicated by each state information, For example, output as a pie chart. Further, the analysis result output unit 1345 specifically outputs, for example, a histogram indicating the frequency for each duration of the state indicated by each state information. With such a histogram, the user can know the operating status of the production apparatus 11. The analysis result output unit 1345 may be considered as including or not including an output device such as a display. The analysis result output unit 1345 can be implemented by output device driver software or output device driver software and an output device.

  Based on the worker movement time information acquired by the worker movement time information acquisition unit 13442, the movement time histogram output unit 13451 generates the movement time of the worker indicated by the worker movement time information and the movement of the movement time. A histogram having two axes of the total frequency of the movement frequency and / or one or more movements of the movement time is constructed and output.

  Based on the recovery work time information acquired by the recovery work time information acquisition unit 13443, the recovery work time histogram output unit 13453, the recovery time indicated by the recovery work time information, the frequency at which the recovery of the recovery time occurred, and / or A histogram having two axes of the total recovery time of one or more of the recovery times is constructed and output.

  The statistical processing result output unit 13453 outputs the statistical data acquired by the operation information statistical processing unit 13444 as a predetermined graph such as a pie chart or a histogram. The output process of the pie chart and the histogram is a process by a known technique. An example of outputting a pie chart or a histogram will be described later.

  Next, the operation of the data collection system will be described. First, the operation of the branch device 131 will be described using the flowchart of FIG.

  (Step S501) The contact information acquisition unit 1311 assigns 1 to a counter i.

  (Step S502) The contact information acquisition unit 1311 determines whether or not the i-th contact exists. The contact point is a medium that outputs a signal about the operating status of the production apparatus 11. In this flowchart, it is assumed that there are n (n is an integer of 2 or more) types of contacts. If the i-th contact exists, the process proceeds to step S503. If the i-th contact does not exist, the process proceeds to step S509.

  (Step S503) The contact information acquisition unit 1311 determines whether contact information of the i-th contact has been acquired. If the contact information of the i-th contact is acquired, the process goes to step S504. If the contact information of the i-th contact is not acquired, the process returns to step S503.

  (Step S504) The contact information acquisition unit 1311 sends the contact information acquired in step S503 to the output unit 1314.

  (Step S505) The contact information acquisition unit 1311 sends the contact information acquired in step S503 to the state recognition unit 1312.

  (Step S506) The state recognition unit 1312 recognizes the state based on the one or more pieces of contact information received in step S505, and acquires the state information. Note that the state recognition unit 1312 acquires state information based on one or more pieces of contact information acquired at a predetermined time. The state recognition process of the state recognition part 1312 is demonstrated using the flowchart of FIG.

  (Step S507) The contact-related information acquisition unit 13132 determines whether or not the state information is output in step S506. If the state information is output in step S506, the process goes to step S508, and if the state information is not output in step S506, the process returns to step S503.

  (Step S508) The contact-related information acquisition unit 13132 increments the counter i by 1.

  (Step S509) The contact-related information acquisition unit 13132 searches the code map storage unit 13131 using one or more state information as a key, and acquires a state code (contact-related information) paired with the one or more state information. Note that the status code acquired by the contact-related information acquiring unit 13132 is a status code that cannot identify other status information other than the asynchronous information when the status information includes asynchronous information. A specific example of such a status code will be described later.

  (Step S510) The output unit 1314 transmits the status code acquired in Step S509 to the network device 132. Note that the status code preferably has a data size of (n-1) bits or less.

  (Step S511) The output unit 1314 outputs the contact information of the n types of contacts acquired by the contact information acquiring unit 1311 to the output device 14. The output device 14 that has received the contact information normally outputs (displays) the contact information as it is. The process returns to step S501.

  In the flowchart of FIG. 5, the contact information acquisition unit 1311 may acquire information on n types of contacts by parallel processing.

  In the flowchart of FIG. 5, the process ends when the power is turned off or the process ends.

  Next, the state recognition processing of the branch device 131 will be described using the flowchart of FIG.

  (Step S601) The state recognition unit 1312 determines whether or not the state indicated by the contact information is ON. If it is ON, the process goes to step S602, and if it is not ON, the process goes to step S606.

  (Step S602) The state recognition unit 1312 determines whether or not the ON state continues for a certain time T or longer. If the ON state continues, the process goes to step S603, and if the ON state does not continue, the process goes to step S605.

  (Step S603) The state recognition unit 1312 recognizes that the state is lighting or buzzer ON, and forms state information corresponding to the state.

  (Step S604) The state recognition unit 1312 outputs the configured state information. Return to upper function.

  (Step S605) The state recognition unit 1312 recognizes the state as blinking, and configures state information corresponding to the state. Go to step S604.

  (Step S606) The state recognition unit 1312 determines whether or not the OFF state continues for a certain time T or longer. If the OFF state continues, the process goes to step S607, and if the OFF state does not continue, the process goes to step S608.

  (Step S607) The state recognition unit 1312 recognizes the state as being extinguished or buzzer OFF, and forms state information corresponding to the state. Go to step S604.

  (Step S608) The state recognition unit 1312 recognizes the state as blinking, and configures state information corresponding to the state. Go to step S604.

  Next, the operation of the network device 132 will be described. The first contact related information receiving unit 1321 of the network device 132 receives the contact related information from the branch device 131, and the first contact related information transmitting unit 1322 transmits the contact related information to the data collection device 133.

  Next, the operation of the data collection device 133 will be described. When the second contact related information receiving unit 1332 of the data collection device 133 receives the contact related information from the network device 132, the operation information log storage unit 1333 stores the contact related information in the operation information log storage unit 1331. The data collection device 133 transmits a mobile operation information log having one or more contact-related information to the analysis device 134 based on a request from the analysis device 134. Note that the analysis device 134 does not need to acquire the operation information log directly from the data collection device 133. The analysis device 134 may read the operation information log from the recording medium in which the operation information log is accumulated, and perform analysis processing.

  Next, the operation of the analysis device 134 will be described using the flowchart of FIG.

  (Step S701) The instruction receiving unit 1341 determines whether an instruction to start analysis processing has been received. If an instruction to start the analysis process is accepted, the process proceeds to step S702. If an instruction to start the analysis process is not accepted, the process returns to step S701. The instruction includes, for example, information on the time zone to be analyzed (may include information such as month and day). However, the instruction may be only an instruction. In such a case, the analysis device 134 sets all contact-related information of the data collection device 133 as an analysis target.

  (Step S702) The contact-related information acquisition unit 1342 acquires the target operation information log instructed in step S701 from the operation information log storage unit 1331 of the data collection device 133.

  (Step S703) The correction unit 1343 acquires the time (t) when the state recognition unit 1312 stored in advance acquires the state information.

  (Step S704) The correction unit 1343 corrects the time information included in all contact-related information included in the operation information log acquired in Step S702 with t acquired in Step S703. That is, the correction unit 1343 returns the time information included in all the contact related information included in the operation information log by t. For example, when the time information included in the contact-related information is T1, the correction unit 1343 sets (T1-t) as accurate time information.

  (Step S705) The analysis unit 1344 processes one or more contact-related information acquired by the contact-related information acquisition unit 1342, and acquires worker movement time information and recovery work time information (referred to as “analysis process 1”). ). Such contact-related information is normally contact-related information after being corrected by the correction unit 1343. Details of the analysis process 1 in the analysis unit 1344 will be described with reference to the flowchart of FIG.

  (Step S706) The travel time histogram output means 13451 is based on the worker travel time information (analysis result in step S705) acquired by the worker travel time information acquisition means 13442, and the worker indicated by the worker travel time information. And a frequency of occurrence of the movement of the movement time and / or a total time of one or more movements of the movement time as two axes.

  (Step S707) The moving time histogram output means 13451 outputs the histogram configured in step S706.

  (Step S708) Based on the recovery work time information (analysis result in step S705) acquired by the recovery work time information acquisition means 13443, the recovery work time histogram output means 13453, the recovery time indicated by the recovery work time information, A histogram is constructed with two axes representing the frequency of occurrence of restoration of the restoration time and / or the total time of restoration of one or more of the restoration times.

  (Step S709) The restoration work time histogram output means 13352 outputs the histogram configured in step S708.

  (Step S710) The operation information statistical processing unit 13444 performs statistical processing on two or more pieces of state information acquired by the state decoding unit 13441, and obtains statistical data which is data for clarifying the operation status of one or more production apparatuses 11. obtain. The statistical data obtained here is statistical data for each production apparatus 11, and is data indicating the total occurrence time of each state information. This process is referred to as “analysis process 2”. Details of the analysis process 2 will be described with reference to the flowchart of FIG.

  (Step S711) The statistical processing result output means 13453 is a graph (for example, a pie chart) showing the time ratio of each state based on the data indicating the total occurrence time of the state indicated by each state information obtained in Step S710. ) Is output.

  (Step S712) The operation information statistical processing unit 13444 performs statistical processing on two or more pieces of state information acquired by the state decoding unit 13441, and obtains statistical data which is data for clarifying the operation status of one or more production apparatuses 11. obtain. The statistical data obtained here is frequency data for each category indicated by the status category information indicated by each status information. This process is referred to as “analysis process 3”. Details of the analysis process 3 will be described with reference to the flowchart of FIG.

  (Step S713) The statistical processing result output means 13453 outputs a histogram based on the frequency data for each category obtained in step S712. The output of the histogram is performed for each production apparatus 11 and for each state. Then, the process ends.

  In the flowchart of FIG. 7, the analysis result output unit 1345 may perform output other than a histogram, a pie chart, and the like. In the flowchart of FIG. 7, it is needless to say that a processing method may be used in which the overlapping processing is performed only once without independently performing the analysis processing 1, the analysis processing 2, and the analysis processing 3.

  Next, the analysis process 1 of step S705 is demonstrated using the flowchart of FIG.

  (Step S801) The analysis unit 1344 substitutes 1 for a counter i.

  (Step S802) The analysis unit 1344 determines whether or not the i-th contact related information exists in the contact related information acquired by the contact related information acquisition unit 1342. If the i-th contact related information exists, the process goes to step S803, and if the i-th contact related information does not exist, the process returns to the upper function.

  (Step S803) The state decoding unit 13441 acquires the state information corresponding to the i-th contact related information from the code map storage unit 13131.

  (Step S804) The worker movement time information acquisition unit 13442 determines whether the state information acquired in Step S803 is information indicating that the abnormality warning lamp is “ON” and the buzzer is “ON”. If the abnormality warning light is “ON” and the buzzer is “ON”, the process goes to step S805. If the abnormality warning light is “ON” and the buzzer is not “ON”, the process goes to step S812.

  (Step S805) The worker travel time information acquisition unit 13442 substitutes 1 for a travel time variable m that is a variable for measuring the travel time.

  (Step S806) The worker movement time information acquisition unit 13442 substitutes “i + 1” for the counter j.

  (Step S807) The analysis unit 1344 determines whether or not the j-th contact related information exists. If the jth contact related information exists, the process goes to step S808, and if the jth contact related information does not exist, the process returns to the upper function.

  (Step S808) The state decoding unit 13441 acquires state information corresponding to the j-th contact related information from the code map storage unit 13131.

  (Step S809) The worker movement time information acquisition unit 13442 determines whether the state information acquired in Step S808 is information indicating that the abnormality warning lamp is “ON” and the buzzer is “ON”. If the abnormality warning light is “ON” and the buzzer is “ON”, the process goes to step S810. If the abnormality warning light is “ON” and the buzzer is not “ON”, the process goes to step S813.

  (Step S810) The worker movement time information acquisition unit 13442 increments the counter m by one.

  (Step S811) The worker movement time information acquisition unit 13442 increments the counter j by 1. The process returns to step S807.

  (Step S812) The analysis unit 1344 increments the counter i by 1. The process returns to step S802.

  (Step S813) The worker movement time information acquisition unit 13442 determines whether or not the acquired state information is information indicating that the abnormality warning lamp is “ON” and the buzzer is “OFF”. If the abnormality warning light is “ON” and the buzzer is “OFF”, the process goes to step S814. If the abnormality warning light is “ON” and the buzzer is not “OFF”, the process goes to step S816.

  (Step S814) The worker travel time information acquisition unit 13442 calculates the travel time based on the travel time variable m. Since m is proportional to the number of contact information output while the worker is moving, the worker movement time information acquisition unit 13442 normally moves “m × (time interval for outputting contact information)”. Time.

  (Step S815) The recovery work time information acquisition unit 13443 assigns 1 to a recovery work time variable r that is a variable for measuring the recovery work time. Go to step S817.

  (Step S816) The analysis unit 1344 sets the counter i to “j + 1”. The process returns to step S802.

  (Step S817) The recovery work time information acquisition unit 13443 increments the counter j by 1.

  (Step S818) The recovery work time information acquisition unit 13443 determines whether or not the j-th contact related information exists. If the j-th contact related information exists, the process goes to step S819. If the j-th contact related information does not exist, the process returns to the upper function.

  (Step S819) The state decoding unit 13441 acquires the state information corresponding to the j-th contact related information from the code map storage unit 13131.

  (Step S820) The recovery work time information acquisition unit 13443 determines whether or not the acquired status information is information indicating that the abnormality warning lamp is “ON” and the buzzer is “OFF”. If the abnormality warning light is “ON” and the buzzer is “OFF”, the process goes to step S820. If the abnormality warning light is “ON” and the buzzer is not “OFF”, the process goes to step S823.

  (Step S821) The recovery work time information acquisition unit 13443 increments the recovery work time variable r by one.

  (Step S822) The recovery work time information acquisition unit 13443 increments the counter j by 1. The process returns to step S818.

  (Step S823) The recovery work time information acquisition unit 13443 determines whether or not the acquired state information is information indicating that the abnormality warning lamp is “OFF”. If the abnormality warning light is “OFF”, the process goes to step S824, and if the abnormality warning light is not “OFF”, the process goes to step S826.

  (Step S824) The recovery work time information acquisition unit 13443 calculates the recovery work time based on the recovery work time variable r. Since r is proportional to the number of contact information output while the worker is performing the recovery work, the recovery work time information acquisition unit 13443 normally sets “r × (time interval for output of contact information)”. Recovery work time.

  (Step S825) The analysis unit 1344 configures analysis result information. The analysis result information includes, for example, information on time when an abnormality occurs, travel time, and recovery work time. The time-related information when the abnormality occurs is held in the contact-related information.

  (Step S826) The analysis unit 1344 substitutes 0 for the variables m and r.

  (Step S827) The analysis unit 1344 substitutes “j + 1” for the counter i. The process returns to step S802.

  Next, the analysis process 2 of step S710 is demonstrated using the flowchart of FIG.

  (Step S901) The operation information statistical processing means 13444 performs an initialization process. The initialization process is a process of substituting 1 into the counter i and a process of substituting 0 into variables corresponding to each state information. The variable corresponding to each state information is a variable for counting the duration of each state indicated by each state information. Such variables are hereinafter referred to as “state time variables” as appropriate.

  (Step S902) The operation information statistical processing means 13444 determines whether or not the i-th state information exists in the state information (data) acquired in Step S808. If the i-th state information exists, the process goes to step S903, and if the i-th state information does not exist, the process returns to the upper function.

  (Step S903) The operation information statistical processing means 13444 increments the state time variable corresponding to the i-th state information by 1.

  (Step S904) The operation information statistical processing means 13444 increments the counter i by 1. The process returns to step S902.

  In the flowchart of FIG. 9, the time corresponding to the value “1” of the state time variable is a time interval at which contact-related information is acquired. Further, the time corresponding to the value “1” of the state time variable is not necessarily “1” seconds.

  Next, the analysis process 3 of step S712 is demonstrated using the flowchart of FIG.

  (Step S1001) The operation information statistical processing means 13444 performs initialization processing. The initialization process is a process of substituting 1 into the counter i and a process of substituting 0 into each state time variable.

  (Step S1002) The operation information statistical processing means 13444 determines whether or not the i-th state information exists. If the i-th state information exists, the process goes to step S1003. If the i-th state information does not exist, the process goes to step S1007.

  (Step S1003) The operation information statistical processing means 13444 determines whether or not the i-th state information is different from the previously acquired state information ((i-1) -th state information) (whether there has been a change). To do. If there is a change, go to step S1004, and if there is no change, go to step S1005.

  (Step S1004) The operation information statistical processing means 13444 pairs the information indicating the classification indicated by the value of the state time variable of the previous state, the information indicating the previous state, and the value (duration) of the state time variable. Store. In addition, the information indicating the classification is, for example, when the classification is “within 1: 1 minute”, “within 2: 2 minutes”, “within 10:10 minutes”, “longer than 11:10 minutes”, for example, ID of the category “2”, etc. “Up to 1: 1 minute” has an ID of “1”, and its meaning indicates that the corresponding state has been maintained within one minute. The information indicating the previous state may be the ID of the state information or the state information itself. For example, the operation information statistical processing unit 13444 registers “2, normal operation, 1870”. In “2, normal operation, 1870”, “2” is a classification ID, “normal operation” is information indicating a previous state, and “1870” is a duration (second).

  (Step S1005) The operation information statistical processing means 13444 increments the state time variable corresponding to the i-th state information by 1.

  (Step S1006) The operation information statistical processing means 13444 increments the counter i by 1. The process returns to step S1002.

  (Step S1007) The operation information statistical processing means 13444 calculates the total time for each state based on the information registered in Step S1004. Return to upper function.

  In the flowchart of FIG. 10, “total time” to be described later may be calculated.

  Hereinafter, specific operations of the production system and the data collection system constituting the production system in the present embodiment will be described. A basic configuration diagram of a production system including a data collection system is shown in FIG.

  Here, it is assumed that the following pattern is output from the programmable computer (sequencer 12) installed in the production apparatus 11 by turning the contacts ON / OFF.

  First, there are three types of warning lights, “red”, “yellow”, and “green”. The three types of warning lights “red”, “yellow”, and “green” each indicate one of three states of lighting, flashing, and extinguishing.

  The buzzer indicates one of ON / OFF states.

  Further, the production number information, which is information relating to the production number, is output from the sequencer 12. Specifically, for example, a pulse signal is input to the sequencer 12 every time one workpiece (for example, a product) passes through the production line (production device 11). Each time 100 pulses are input, the sequencer 12 outputs a pulse once. Such a pulse is asynchronous information which is information generated asynchronously.

  In addition, information about the five states of the three types of warning lights, buzzers, and production number information may be arranged in parallel. Specifically, the side-by-side pattern is “red extinction + yellow blinking + green lighting + buzzer ON” or the like.

  In the data collection system 13 constituting this production system, these patterns are bit-coded by the branching device 131 and stored in the data collecting device 133. Then, the analysis device 134 decodes the status code stored in the data collection device 133 and converts it into, for example, a graph display format so that the generation time and generation time of each pattern can be visually grasped.

  FIG. 11 shows an example of a code map in the code map storage means 13131. The code map has contact-related information and status information. In FIG. 11, the state semantic information is information indicating the meaning indicated by the contact related information and / or the state information. The state meaning information is not essential information in the code map. “Power off” of the attribute value of “state meaning information” indicates that the production apparatus is powered off. Also, “normal operation” of the attribute value of “state meaning information” indicates that the production apparatus is operating normally. In addition, the attribute value of “state meaning information” “normal operation + no previous process work” indicates that there is no work in the previous process when the production apparatus is operating normally and there are multiple processes in the production apparatus. Indicates a state. The attribute value of “state meaning information” “full after process” indicates a state where a work queue is formed in the subsequent process when there are a plurality of processes in the production apparatus. Further, the attribute value “state meaning information” of “no part (being handled)” indicates that there is no part for the process and is being handled. Further, “stop” of the attribute value of “state meaning information” indicates that the production apparatus is stopped. The “abnormal stop (during handling)” attribute value of “state meaning information” indicates that the production apparatus has stopped abnormally and is being dealt with. Also, “no part (before handling)” attribute value of “state meaning information” indicates that there is no part for the process and the state is before handling. The “abnormal stop (before handling)” attribute value of “state meaning information” indicates that the production apparatus has stopped abnormally and is in a state before handling. Furthermore, the attribute value “state semantic information” “passing 100 workpieces” indicates that 100 workpieces have passed.

  Here, the state information is information indicating the states of the five types of contacts. In FIG. 11, the attribute value of the state information can take the following values. The production number “◯” is information indicating that 100 workpieces from the sequencer 12 have passed one production line (production apparatus 11). When the number of production is blank, it indicates that 100 workpieces have not passed through one production line (production device 11). Further, “◯” of the buzzer indicates that the buzzer is ON, and “X” indicates that the buzzer is OFF. Further, “red”, “yellow”, and “green” indicate the color of the warning light, “◯” of each warning light is turned on, “Δ” is blinking, and “×” is turned off. In the branching device 131, for example, “◯” corresponds to “0”, “Δ” corresponds to “1”, and “×” corresponds to “2”. In FIG. 11, the contact related information is a 4-bit code. The contact-related information includes bit values (“0” or “1”) of “state 1”, “state 2”, “state 3”, and “state 4”.

  Hereinafter, a specific operation of the data collection system 13 will be described.

  First, the branch device 131 of the data collection system 13 branches the output signal (contact information) from the sequencer 12, directly outputs the output signal (contact information) to the output device 14, and outputs the output signal (contact information) to the network device 132. Recognize the pattern of contact information) and output a status code (contact related information) that matches the pattern. The process which comprises contact relevant information from the contact information of this process is demonstrated concretely.

  That is, from the contact information acquired by the contact information acquisition unit 1311, the state recognition unit 1312 recognizes the state and acquires the state information. Specifically, the state recognition unit 1312 recognizes patterns of warning lights, buzzers, and production numbers.

  The state recognition unit 1312 performs warning light pattern recognition as follows. For example, if the contact information is information indicating the ON state for 1 second, it is turned on. If the contact information is information indicating the OFF state for 1 second, it is turned off. 1312 judges.

  Further, the state recognition unit 1312 determines that the buzzer contact is on and the buzzer contact is on and off.

  A specific algorithm for such state recognition is as described with reference to FIG.

  Further, in this example, a pulse signal is input to the sequencer 12 every time one workpiece passes through the production line. Then, the state recognition unit 1312 recognizes that the counter has counted the pulse 100 times.

  Next, the contact related information acquisition unit 13132 acquires contact related information corresponding to the state information recognized and acquired by the state recognition unit 1312 from the code map storage unit 13131. Here, the state information is 5ch information. On the other hand, the data is encoded by the contact related information acquisition unit 13132 to become 4-bit data. Therefore, by recognizing the pattern of the status information, it is possible to store information with a smaller capacity than branching the status information as it is and storing it as an operation information log. Also, less network traffic is required.

  The state recognition unit 1312 outputs a pulse for 1 second (hereinafter, referred to as “count-up pulse” as appropriate) as a signal indicating that the production number has been counted up 100 times. The count-up pulse is output very rarely when the pattern of the warning light and the buzzer is changed, and is asynchronous information generated asynchronously with the change of the warning light and the buzzer. In consideration of this property, the count-up pulse code is independent of the warning light and buzzer code. That is, when a count-up pulse is generated, this code (“1111” in FIG. 11) is described in the operation information log by interruption. As shown in FIG. 11, an independent code (“1111” in FIG. 11) is given to the production number count-up pulse, and this code is overwritten and output when turned ON. For example, the analysis device 134 assumes that the preceding and succeeding states have been maintained while outputting the production number count-up pulse. In other words, when the contact-related information is “1111”, the analysis device 134 obtains three types of warning light statuses of “red”, “yellow”, and “green” and the buzzer status from the contact-related information immediately before or after that. To do. With this process, the number of contact channels required for data collection can be reduced. In addition, network traffic can be reduced.

  FIG. 12 is an output example of a count-up pulse code (contact-related information). In FIG. 12, one or more records having “date”, “time”, and “contact-related information” are included. The “contact-related information” is composed of 4-bit information of “state 1”, “state 2”, “state 3”, and “state 4”. Each record in FIG. 12 indicates that the contact related information indicated by the attribute value “contact related information” is output at the time indicated by the attribute values “date” and “time”. In FIG. 12, at “12:52:22”, the warning light and buzzer pattern is (0, 0, 0, 1), that is, green. Since the production counter has counted up at “12:52:23”, a count-up pulse is output for 1 second. During and after the count-up pulse output, the warning light and buzzer pattern did not change from green lighting, so the code returned to (0, 0, 0, 1), that is, green lighting again at “12:52:24” Yes. When the code of the count-up pulse is output, the warning lamp lighting pattern and the buzzer ringing pattern are not known, but the output time of the count-up pulse is as short as 1 second, so as can be seen from the code output example in FIG. If the state is the same as green lighting, there is no problem even if it is considered that the green lighting state has continued during the count-up pulse output.

  The contact information is encoded by the processing of the contact-related information acquisition unit 13132 described above. The merit of bit-coding the above contact information is that if you try to recognize the pattern without bit-coding, 5 channels of contacts (red, yellow, green, buzzer, number of production) are required for recognition. Since the number of patterns is 10, here, all patterns can be expressed by 4 bits, that is, 4ch, and patterns can be expressed by a small number of channels.

  In addition, since an independent code can be assigned to a rare occurrence such as a count-up pulse and an independent log can be described by an interrupt, the number of channels is not increased unnecessarily.

  Next, the output unit 1314 transmits the acquired status code to the network device 132.

  The output unit 1314 normally outputs the contact information of the n types of contacts acquired by the contact information acquisition unit 1311 to the output device 14 as it is. The output device 14 outputs the contact information as it is. Since the processing of the output device 14 is processing according to a known technique, detailed description thereof is omitted here.

  Next, the network device 132 receives the contact-related information (also referred to as “status code” as appropriate) coded from the branch device 131 and transmits it to the data collection device 133.

  The data collection device 133 receives the contact related information from the network device 132 and accumulates the contact related information in the operation information log storage unit 1331. The information accumulated in the operation information log storage unit 1331 is an operation information log that is one or more contact related information. Normally, the contact-related information has time information (“date” and “time” information in FIG. 12).

  As a result of the above processing, the data collection device 133 normally accumulates a large amount of contact-related information as shown in FIG.

  Next, a specific operation of the analysis device 134 will be described.

  It is assumed that the instruction reception unit 1341 of the analysis device 134 has received an analysis start instruction from the user.

  Next, the contact related information acquisition unit 1342 acquires an operation information log having the data structure of FIG. 12 from the operation information log storage unit 1331 of the data collection device 133.

  Next, the correction unit 1343 acquires the time (in this case, “t = 1 second”) when the state recognition unit 1312 stored in advance acquires the state information.

  Next, the correction unit 1343 corrects the time information included in all contact-related information included in the acquired operation information log with the acquired t (1 second).

  The time correction in the correction unit 1343 will be described with reference to FIG. Assume that the state indicated by the contact-related information is the situation as shown in FIG. FIG. 13 shows the state of the warning light. According to FIG. 13, the state of the warning light at time T1 is blinking, but the correction unit 1343 assumes that the state of the warning light is blinking at T0 (“T1-t”). The time information included in the contact related information is changed from T1 to T0. With this process, the analysis device 134 can perform analysis based on a state at an accurate time considering the time (t) when the state recognition unit 1312 acquires the state information.

  Specifically, by the time correction in the correction unit 1343, for example, as shown in FIG. 14, the contact related information before correction (FIG. 14 (a)) is changed to the contact related information after correction (FIG. 14 (b)). Become. By such correction processing, the time when the pattern changes can be accurately grasped.

  Next, the analysis unit 1344 performs an analysis process as follows, and acquires worker movement time information and restoration work time information based on one or more contact-related information.

  The state decoding unit 13441 of the analysis unit 1344 decodes the contact related information into state information. And the analysis part 1344 can obtain the information which can comprise the timing chart shown in FIG.

  And the analysis part 1344 performs the analysis process 1 mentioned above first. That is, the analysis unit 1344 calculates the travel time and the recovery time based on the ON / OFF state of the abnormality warning lamp and the buzzer (worker call buzzer). The worker movement time information acquisition unit 13442 and the recovery work time information acquisition unit 13443 may calculate the movement time and the recovery time without using the buzzer state, triggered by pressing of the buzzer stop button. good.

  Specifically, it is assumed that the table of FIG. 16 is obtained by decoding the operation information log (one or more contact-related information) into a pattern. In FIG. 16, since the blinking red, that is, the lighting start time of the abnormality warning lamp is “12:52:46”, the worker movement time information acquisition unit 13442 has the buzzer stop time “12:53:01”. , “Movement time = buzzer stop time−abnormal warning lamp lighting start time = 15 (s)”. Here, red blinking indicates an abnormal stop and green lighting indicates normal operation (see the state semantic information in FIG. 11).

  Further, the recovery work time information acquisition unit 13443 calculates “recovery time = reoperation time−stop time of buzzer = 12 (m) 4 (s)”. In FIG. 16, the restart time is “13:05:05”.

  Then, it is assumed that the results calculated by the worker movement time information acquisition unit 13442 and the recovery work time information acquisition unit 13443 are stored at least temporarily in a data structure as shown in FIG. FIG. 17 is an analysis result management table. The analysis result management table has one or more records having time information indicating the abnormal start time, travel time, and recovery time.

  Next, the movement time histogram output means 13451 is based on the worker movement time information (analysis result of FIG. 17) acquired by the worker movement time information acquisition means 13442 and the movement of the worker indicated by the worker movement time information. A histogram having two axes of the time and the frequency of occurrence of the movement of the movement time or / and the total time of one or more movements of the movement time is constructed and output.

  Further, the recovery work time histogram output unit 13453 is configured to display the recovery time indicated by the recovery work time information and the recovery time based on the recovery work time information (analysis result of FIG. 17) acquired by the recovery work time information acquisition unit 13443. A histogram having two axes of the frequency of occurrence of restoration and / or the total time of restoration of one or more of the restoration times is constructed and output.

  A specific histogram output example is shown in FIG. 18A and 18B are travel time histograms. In FIG. 18A, it can be determined that there is no problem because the median value of travel time is smaller than the threshold value. In FIG. 18B, it can be determined that the median travel time is larger than the threshold value and that there is a problem. If there is a problem, it can be determined that an increase in the number of workers is necessary. The median is a middle value when values are sorted in ascending or descending order. Further, such a determination may be made by a person or the analysis device 134. The output unit 1314 of the analysis device 134 calculates an average value of the movement time, and outputs information indicating a warning when the average value is larger than a threshold value stored in advance (“the number of workers needs to be increased”). Display, sound output, etc.).

  18C and 18D are restoration work time histograms. In FIG. 18C, since the median recovery time is smaller than the threshold value, it can be determined that a chocolate stop countermeasure is necessary. “Choco stop” refers to a facility stop with a short stop time that can be recovered by a relatively simple countermeasure such as a transport jam. Further, in FIG. 18D, since the median recovery time is larger than the threshold, it can be determined that a countermeasure against stoppage is necessary. “Doka stop” is a facility that has a relatively long downtime, such as when a clear failure cannot be shared due to equipment failure, etc. Say stop. Note that the countermeasure against the stoppage is, for example, a procedure for recovery work. Note that threshold information is held in advance by the analysis unit 1344. Then, the analysis unit 1344 may determine whether the median is larger or smaller than a threshold value, and the analysis result output unit 1345 may perform output according to the determination result.

  Specifically, the moving time histogram output unit 13451 and the recovery work time histogram output unit 13451 perform the following processing to output the histogram of FIG.

  The travel time histogram output means 13451 divides the travel time into an appropriate number of floors based on the actual results and configures the horizontal axis. The travel time histogram output means 13451 arranges the frequency (frequency) for each rank of travel time or the total time on the vertical axis. Thereby, it is possible to recognize at a glance how long the moving time has influenced the stop time. If the frequency of short travel times is high, it can be seen that there is an environment in which workers can cope immediately even if a stoppage occurs, and there is no particular problem. Conversely, when the frequency of long travel times is high, it can be seen that it takes time for the workers to arrive when the equipment stops. Since this is considered to be a problem with the placement of workers, it can be seen that the placement of workers needs to be reviewed.

  The restoration work time histogram output means 13453 divides the restoration time into an appropriate number of floors based on the actual results and configures the horizontal axis. The restoration work time histogram output means 13453 arranges the frequency (frequency) for each floor of the restoration time or the total time on the vertical axis. Thereby, it is possible to recognize at a glance how long the recovery time has influenced the stop time. When the frequency of short recovery times is high, it can be seen that chocolate stops frequently occur. Therefore, it can be understood that the cause of the chocolate stop and the countermeasures are necessary. On the contrary, when the frequency of the long recovery time is high, it can be seen that there are frequent stoppages. Therefore, it can be understood that the cause of the stoppage and countermeasures are necessary.

  As described above, the stop time is divided into the travel time and the recovery time and displayed in a histogram, so that it is possible to assist in determining a countermeasure method for improving the operating rate of the production apparatus.

  The analysis result output unit 1345 may output operation information as shown in FIG. 19 in a graph. In such a case, the state semantic information shown in FIG. Then, the generation of the state semantic information corresponding to the state information (for example, “power off”) is output in a timing chart. Since the timing chart output process is a known technique, a detailed description thereof will be omitted. Note that the timing chart has the same meaning as the time chart.

  Next, the operation information statistical processing means 13444 performs the analysis process 2 described above. That is, the operation information statistical processing means 13444 substitutes 0 for a variable (state time variable) corresponding to each state information. Next, the operation information statistical processing unit 13444 sequentially acquires the state information from the contact related information as illustrated in FIG. 12 with reference to the code map (see FIG. 11). Then, each time the status information is acquired, the operation information statistical processing unit 13444 increments the status time variable corresponding to the status information by 1. With this process, the total time during which the state indicated by the state information has occurred can be obtained.

  Then, the operation information statistical processing means 13444 obtains the state duration management table shown in FIG. The state duration management table stores one or more records having “state information ID”, “state information”, “state time variable (s)”, “ratio (%)”, and “state meaning information”. “Status information ID” is an ID for identifying status information. The “state time variable” is information indicating the total time that the state indicated by each state information has occurred. The “ratio (%)” indicates the ratio at which the state indicated by the state information has occurred. In other words, the operation information statistical processing unit 13444 calculates the attribute value of “ratio (%)” from the “state time variable” corresponding to all the state information. In FIG. 20, “Ratio (%)” is rounded off after the decimal point.

  Next, the statistical processing result output means 13453 outputs the pie chart shown in FIG. 21 using the “ratio (%)” and “state meaning information” in the state duration management table shown in FIG. This pie chart is a graph showing the time ratio of each state. From the graph of FIG. 21, the user at the manufacturing site can grasp the ratio corresponding to the operating rate from the total ON time in the normal operating state. Furthermore, the user at the manufacturing site can grasp whether the stop factor is in the own equipment, in the previous process, in the subsequent process, or the like from other operation information.

Further, the operation information statistical processing means 13444 performs the analysis process 3 described above. The operation information statistical processing means 13444 assigns 0 to a variable (state time variable) corresponding to each state information. Next, the operation information statistical processing unit 13444 sequentially acquires state information. Then, the operation information statistical processing means 13444 compares the previously acquired state information ((i-1) th state information) with the recently acquired state information (ith state information) until there is a change. Then, the state time variable corresponding to the state information is incremented by one. When there is a change, the information indicating the division indicated by the value of the state time variable of the previous state, the information indicating the previous state, and the total time are stored in pairs. By such processing, the frequency at which the state indicated by each piece of state information is continuously generated can be obtained by dividing it into sections. Specifically, the operation information statistical processing unit 13444 obtains, for example, a state information duration frequency management table shown in FIG. The status information duration frequency management table holds one or more records having “classification”, “frequency”, and “total time” as attributes. “Division” is information for grouping time durations when a certain state is sustained. “Frequency” is the number of times a certain state has been maintained for the time indicated by the category. “Total time” is the total of the frequency of the duration of the state corresponding to “category”.
Further, the operation information statistical processing unit 13444 obtains a state information duration frequency management table for each state. FIG. 22 is a state information duration frequency management table of the state “no work from the previous process”, for example.

  Next, the statistical processing result output means 13453 outputs a histogram based on the obtained state information duration frequency management table. The output of the histogram is performed for each production apparatus 11 and for each state.

  FIG. 23 shows an example of a histogram output by the statistical processing result output means 13453. In FIG. 23, the “total time” on the vertical axis is the time obtained by adding the duration corresponding to each section by the frequency. Further, in FIG. 23, the floor is divided into 11 floors (sections) of within 1 minute, within 2 minutes, within 3 minutes,... If the number of occurrences is displayed, the one with a shorter duration is more likely to occur, so it tends to tilt to the lower right, which is not appropriate for analysis. Therefore, it is easier to compare by rank when “total time” is taken on the vertical axis. Also, the “total time” is, for example, for a stop within 1 minute, assuming that 30 seconds occurs once, 10 seconds occurs three times, and 20 seconds occurs three times, the total time is “30 × 1 + 10 × 3 + 20 × 3”. = 120 (seconds) ".

  In addition, when the statistical processing result output unit 13453 outputs the histograms (a) to (d) of FIG. 24, the user makes the following determination. FIG. 24 is a histogram of the results of measuring the duration and frequency of the state “No work supply from previous process”. When the statistical processing result output unit 13453 outputs the histogram of FIG. 24A, the user determines that the tact balance with the previous process is disturbed. In the case of FIG. 24B, the user determines that chocolate stops frequently occur in the previous process. In the case of FIG. 24C, the user determines that there are frequent stoppages in the previous process. Furthermore, in the case of FIG. 24D, the user determines that there are a plurality of factors in the defect of the production line. This can be grasped by the broken-line circles in the histograms shown in FIGS. 24 (a) to 24 (d).

  As described above, according to the present embodiment, information relating to the operation of the production apparatus can be easily performed without modifying the equipment such as the production apparatus or significantly changing the sequence program such as the programmable controller installed in the equipment. Can be obtained. Such a data collection system is particularly effective when introduced into a large-scale production system such as a plant.

  Further, according to the present embodiment, by analyzing the operation information log by the analysis device 134, it is possible to take solutions such as the necessity of increasing the number of workers and the necessity of procedural recovery work. .

  Further, according to the present embodiment, data to be transmitted to the network device is encoded, and network traffic can be reduced. In addition, the operation information log to be accumulated requires a small amount of data.

  Further, according to the present embodiment, when the state information includes asynchronous information that is information that is generated asynchronously with the change in the buzzer state and the change in the warning light state, the state information is included in other state information other than the asynchronous information. Regardless, network traffic can be further reduced by converting to contact-related information that is a code of a predetermined value.

  In addition, according to the present embodiment, the work procedure of a conventional field worker (for example, if an abnormality occurs, work such as going to the vicinity of the production apparatus that caused the abnormality and pressing a button to stop the buzzer) ) Can be easily obtained without changing the information (worker movement time, recovery work time). Therefore, measures at the production site are facilitated.

  Further, according to the present embodiment, it is possible to grasp whether the movement time is often long or short when the stop occurs by displaying a histogram of the movement time. It turns out that there is a problem. In addition, by displaying the recovery time as a histogram, it is possible to grasp whether the recovery time is often long or short when a stop occurs. If the recovery time is long, it means that stoppages frequently occur, and it is understood that countermeasures against stoppages are necessary, and if the recovery time is short, it means that stoppages occur frequently, and it is understood that countermeasures for stoppages are necessary. In this way, by performing the histogram display, it is possible to support the determination of the countermeasure method for the equipment.

  Further, according to the present embodiment, by outputting statistical data of the duration of a certain state and the occurrence frequency of a certain state, the cause of a defect such as a production line can be recognized at a glance.

  In addition, according to the present embodiment, the analysis apparatus includes the correction unit that corrects the time, so that the time of the accurate state change (failure occurrence, recovery, etc.) of the production apparatus can be acquired. Elucidation of the cause of the occurrence becomes easier.

  In the present embodiment, the code map is not limited to the map shown in FIG. 9, but may be the map shown in FIG. 25 or FIG. 25 and 26, “-” indicates “don't care” which may be “0” or “1”.

  When the code map is the code map of FIG. 25, in the case of “no work in the previous process + full after process”, the status information is information indicating that the warning lamp “yellow” is lit and the warning lamp “green” is blinking ( (Refer to the seventh record in FIG. 25). Further, in the case of “full post process”, the state information is information indicating that the warning light “green” blinks (see the third record in FIG. 25). Further, in the case of “no work in the previous process”, the state information is information indicating that the warning light “yellow” is lit and the warning light “green” is lit (see the fifth record in FIG. 25). In FIG. 25, the operation states that occur at the same time, “no work in the previous process + full in the subsequent process” are separated. That is, in the code map of FIG. 25, three types of state information can be indicated by 2-bit contact-related information (“state 2” and “state 3” in FIG. 25). In addition, the code map of FIG. 25 includes contact related information corresponding to state information indicating a combination of two or more states (in this case, two states of “no work in the previous process” and “full of the subsequent process”). The code map is a sum (“−110”) of contact-related information (here, “−100” and “−010”) corresponding to two or more states. Here, the sum of “−100” and “−010” is considered as “−110”. That is, “−” (don't care) does not affect the sum operation. This requires that the number of warning lamps (hardware) be transmitted at the production site to convey many states of the production apparatus. On the other hand, the department that performs production management does not judge the three states of “no work in the previous process”, “full in the subsequent process”, and “no work in the previous process + full in the subsequent process” from the output of the three waveforms or the like. It is preferable that the operating states that occur at the same time can be separated and determined by the output of two waveforms or the like. That is, as shown in FIG. 27, the waveform of “no work in front process + full post process” shown in FIG. 27A is consolidated into “no work in front process” and “full post process”. (FIG. 27 (b)). As a result, it is possible to more intuitively grasp the state of the production apparatus in the department that performs production management. Even when the code maps are different, the processing of the state encoding unit 1313, the code map setting unit 1315, the contact related information acquisition unit 13132, the analysis unit 1344, the state decoding unit 13441, etc. is the same. Such processing is indicated by a broken-line circle or a broken-line ellipse.

  Note that the processing of each device in the present embodiment may be realized by software. Then, this software may be distributed by software download or the like. Further, this software may be recorded and distributed on a recording medium such as a CD-ROM. This also applies to other embodiments in this specification. Note that the software that realizes the branching apparatus in the present embodiment is the following program. In other words, this program is information relating to the contact information, the contact information obtaining step for obtaining contact information from the production device, and the contact information obtained in the contact information obtaining step to the computer. A program for executing an output step of transmitting contact-related information to the network device.

  Further, the program codes a state recognition step for obtaining state information, which is information relating to the state of the production apparatus, from the contact information obtained in the contact information obtaining step, and the state information obtained in the state recognition step. And further executing a state encoding step for converting the contact information into the contact-related information. In the output step, the contact information acquired in the contact information acquisition step is transferred to the output device, and the state encoding unit converts the contact information. It is preferable that the program is a program for transmitting contact-related information obtained in this way to the network device.

  In the above program, the information indicating the correspondence between the state information, which is the information indicating the pattern of the state of the contact of n (n is an integer of 2 or more), and the contact related information, which is the code of (n-1) bit. It is preferable that a certain code map is stored, and the state coding step includes a contact related information acquisition step of acquiring contact related information corresponding to the state information acquired in the state recognition step from the code map. It is.

  In the above program, the contact is a buzzer that can take one of two states of on or off, and a warning lamp that can take one of three states of lighting, flashing, or extinguishing. The state information includes asynchronous information that is information that is generated asynchronously with the change in the state of the buzzer and the change in the state of the warning light, and is acquired in the state recognition step in the state encoding step. When the status information includes asynchronous information, it is preferable to convert it into contact related information that is a code of a predetermined value regardless of status information other than the asynchronous information acquired in the status recognition step.

  Moreover, the software which implement | achieves the analyzer in this Embodiment is the following programs. That is, the program processes a contact related information acquisition step of acquiring one or more contact related information from the data collection device and one or more contact related information acquired in the contact related information acquisition step, A program for executing an analysis step for acquiring information and an analysis result output step for outputting predetermined information acquired in the analysis step.

  In the above program, in the analyzing step, based on two or more contact-related information, worker movement time information that is information related to a worker's movement time and recovery work time information that is information related to a recovery work time are acquired. A program to do.

  In the above program, the analysis step acquires information related to a time from when the buzzer is turned on to when the buzzer is turned off based on two or more contact-related information. Based on the worker movement time information acquisition step and the two or more contact-related information, the information about the time until the production apparatus operates normally after the buzzer is turned off is acquired. It is preferable to provide a recovery work time information acquisition step in which the information regarding the recovery work time information is used.

  In the above program, the analysis result output step includes the movement time of the worker indicated by the worker movement time information and the movement based on the worker movement time information acquired in the worker movement time information acquisition step. A histogram having two axes of the frequency of occurrence of time movement and / or the total time of one or more movements of the movement time is formed and output in the movement time histogram output step to be output and the recovery work time information acquisition step. Based on the recovery work time information, the recovery time indicated by the recovery work time information and the frequency of occurrence of the recovery time or / and a histogram with two axes as the total time of at least one of the recovery times are configured. It is preferable to provide a recovery work time histogram output step for outputting.

  In the program, the contact-related information includes time information that is information related to time, and the program stores, in the computer, the worker travel time information and the recovery based on the time for acquiring the state information. It is preferable to further execute a correction step for correcting the work time information.

  Further, in the program, the analysis step includes an operation information statistical processing step for calculating a total duration of each state indicated by each state information of one or more production apparatuses, and the analysis result output step includes the operation result output step. Based on the total duration of each state indicated by each piece of state information calculated in the information statistics processing step, it is preferable to output the occurrence ratio of each state in a graph.

In the above program, the analysis step includes an operation information statistical processing step for calculating a duration or / and a frequency of each state indicated by each state information of one or more production apparatuses, and the analysis result output step includes It is preferable to output a histogram indicating the frequency of each state based on the duration or / and frequency calculated in the operation information statistical processing step.
(Embodiment 2)

  In the present embodiment, the data collection device has two network interfaces, separates a network that acquires information indicating the operation status of the production device and a network from which the analysis device acquires data from the data collection device, An aspect in which network traffic can be reduced and congestion can be avoided will be described.

  FIG. 28 is a basic configuration diagram of a production system in the present embodiment. The production system includes one or more production apparatuses 11, one or more sequencers 12, one or more data collection systems 183, and one or more output apparatuses 14.

  The data collection system 183 includes one or more branch devices 131, one or more network devices 132, a data collection device 1833, and an analysis device 134.

  The data collection device 1833 differs from the first embodiment only in that the network interface connected to the branch device 131 and the network interface connected to the analysis device 134 are different, and the other device configurations and operations are the same. is there.

  The data collection device 1833 includes an operation information log storage unit 1331, a second contact related information reception unit 1332, an operation information log storage unit 1333, and a second contact related information transmission unit 18331.

  The second contact related information transmission unit 18331 transmits the contact related information in the operation information log storage unit 1331 to the analysis device 134. The second contact related information transmission unit 18331 can be realized by a wireless or wired communication unit or the like.

  In this production system, there are two different networks, network N1 and network N2. The network N1 is, for example, a local network between production facilities. The network N2 is a business office network.

As described above, according to the present embodiment, the network load increases by acquiring the operating state of the production apparatus, but the increase in the load can prevent the data analysis process from being hindered.
(Embodiment 3)

  In the present embodiment, an analysis apparatus that can grasp whether an operation state frequently occurs or rarely occurs by measuring and outputting the frequency for each “occurrence interval” of the operation information will be described. Further, in the present embodiment, an analysis apparatus that can analyze the occurrence tendency of the operating state more clearly by combining the output of the frequency of the duration of the operating state and the output of the frequency of the occurrence interval will be described. In addition, the analysis device according to the present embodiment classifies the duration length into “long-time type” and “short-time type” from the output of the frequency of the duration, and from the output of the frequency of the occurrence interval, From the length, it can be classified into "Frequent type" and "Sporadic type". Thereby, the generation tendency of the operation information can be classified into four types.

  The production system of the present embodiment is different from the production system of the first embodiment only in the analysis device. The production system includes one or more production apparatuses 11, one or more sequencers 12, one or more data collection systems 293, and one or more output apparatuses 14.

  The data collection system 293 includes one or more branch devices 131, one or more network devices 132, a data collection device 133, and an analysis device 2934.

  FIG. 29 is a block diagram of an analysis device 2934 constituting the data collection system 293. The analysis device 2934 includes an instruction reception unit 1341, a contact related information acquisition unit 1342, a correction unit 1343, an analysis unit 29344, and an analysis result output unit 29345.

  The analysis unit 29344 includes a code map storage unit 13131, a state decoding unit 13441, a worker movement time information acquisition unit 13442, a recovery work time information acquisition unit 13443, an operation information statistical processing unit 293444, a segment information storage unit 13445, and a state specification information storage. Means 293446 are provided.

  The analysis result output unit 29345 includes a movement time histogram output unit 13451, a restoration work time histogram output unit 13452, and a statistical processing result output unit 293453.

  The operation information statistical processing unit 293444 performs statistical processing on two or more pieces of state information acquired by the state decoding unit 13441, and obtains statistical data that is data for clarifying the operation state of one or more production apparatuses 11. Specifically, the operation information statistical processing unit 293444, for example, for each production device 11, calculates the total ON duration of the state indicated by each status information and the total OFF duration of the status indicated by each status information. calculate. For example, the operation information statistical processing unit 293444 calculates the ON duration of the state indicated by the state information and the frequency thereof, and calculates the OFF duration of the state indicated by the state information and the frequency thereof. Then, the operation information statistical processing means 293444, based on the division information to be described later, the division (indicated by the division information) indicates the ON duration and the frequency of each state of each production apparatus 11 and the OFF duration and the frequency thereof. Group). Next, the operation information statistical processing means 293444 determines the occurrence type which is the type of occurrence of the state from the ON duration and frequency information of a certain state and / or the OFF duration and frequency information of a certain state. To decide. Next, the operation information statistical processing means 293444 acquires state specifying information which is information for specifying the state from the state occurrence type. In addition, the operation information statistical processing unit 293444 may acquire state specifying information that is information for specifying a state from occurrence types of two or more states in the same time period. The generation types are, for example, four types. The four types are “long-time frequent type”, “short-time frequent type”, “long-time frequent type”, and “short-time frequent type”. For each state, the tendency of the length of the duration is classified into “long-time type” and “short-time type” from the frequency of the duration of a certain state (frequency of the duration of a certain state ON). Further, the tendency of the occurrence frequency is classified into “frequent type” and “sporadic type” from the frequency of the occurrence interval of a certain state (frequency of the duration of a certain state OFF). The four types of occurrence are composed of a combination of a trend of duration and a tendency of occurrence frequency. The operation information statistical processing means 293444 can be usually realized by an MPU, a memory, or the like. The processing procedure of the operation information statistical processing means 293444 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The state specifying information storage means 293446 stores the state specifying information in association with one or more occurrence types. The state specifying information storage means 293446 is preferably a non-volatile recording medium such as a hard disk or ROM, but can also be realized by a volatile recording medium such as a RAM.

  The statistical processing result output means 293453 outputs the statistical data acquired by the operation information statistical processing means 293444 as a predetermined graph such as a pie chart or a histogram. The histogram output by the statistical processing result output means 293453 is a histogram in which the ON duration of each state and the frequency thereof are classified into categories (groups) indicated by the category information. Further, it is a histogram output by the statistical processing result output means 293453, and a histogram in which the OFF duration of each state and its frequency are classified into categories (groups) indicated by the category information is referred to as an OFF histogram. The statistical processing result output means 293453 outputs the generation type determined by the operation information statistical processing means 293444. Further, the statistical processing result output unit 293453 outputs the state specifying information acquired by the operation information statistical processing unit 293444. The output process of the pie chart and the histogram is a process by a known technique. An output example of the statistical processing result output unit 293453 will be described later. Here, the output is a concept including display on a display, printing on a printer, transmission to an external device, storage on a recording medium, and the like. The statistical processing result output means 293453 can be realized by driver software of an output device or driver software of an output device and an output device.

  Next, the operation of the analysis device 2934 will be described using the flowchart of FIG. In the flowchart of FIG. 30, only steps different from the flowchart of FIG. 7 will be described.

  (Step S3001) The operation information statistical processing unit 293444 performs statistical processing on the two or more pieces of state information acquired by the state decoding unit 13441, and generates statistical data that is data for clarifying the operation status of the one or more production apparatuses 11. obtain. Further, the operation information statistical processing means 293444 acquires state specifying information that is information for specifying the state from the occurrence types of two or more states in the same time period. This process is referred to as “analysis process 4”. Details of the analysis process 4 will be described with reference to the flowcharts of FIGS. 31 and 32.

  (Step S3002) The statistical processing result output means 293453 outputs a histogram based on the frequency data for each category obtained in step S3001. The output of the histogram is performed, for example, for each production device 11 and for each state ON / OFF. That is, the statistical processing result output unit 293453 outputs an ON histogram and an OFF histogram for each state.

  (Step S3003) The statistical processing result output means 293453 outputs the state specifying information obtained in step S3001. Then, the process ends.

  Next, the analysis process 4 of step S3001 will be described with reference to the flowcharts of FIGS. In the flowchart of FIG. 31, only steps different from the flowchart of FIG. 10 will be described.

  (Step S3101) The operation information statistical processing means 293444 stores the information indicating that the previous state is ON and the value (duration) of the state time variable as a pair. The information indicating the previous state may be the ID of the state information or the state information itself. For example, the operation information statistical processing unit 293444 registers “normal operation, ON, 1870”. In “normal operation, ON, 1870”, “normal operation, ON” is information indicating that the previous state is ON, and “1870” is a duration (second).

  (Step S3102) The operation information statistical processing means 293444 stores one or more sets of information indicating that one or more other states except the previous state are OFF and the value (duration) of the state time variable. To do. When the information registered in step S3101 is “normal operation, ON, 1870”, in this step, the operation information statistical processing means 293444, for example, “self-stop, OFF, 1870”, “post-process work full, OFF, Three sets of information “1870” and “No work in the previous process, OFF, 1870” are registered. The three sets of information constitute information on the duration of OFF and the frequency of a certain state. Go to step S1005. Needless to say, one or more other states other than the previous state are not limited to the above three. Other states may include, for example, “manual stop, OFF”.

  (Step S3103) The operation information statistical processing means 293444 is a type of occurrence of the state from the ON duration and frequency information of a certain state and / or the OFF duration and frequency information of a certain state. Determine the type. Details of the operation for determining the generation type will be described with reference to the flowchart of FIG.

  (Step S3104) The operation information statistical processing unit 293444 searches the state specifying information storage unit 293446 for state specifying information corresponding to the occurrence type determined in Step S3103, and acquires it. The operation information statistical processing unit 293444 may acquire two or more state specifying information when two or more generation types are acquired in step S3103. Return to upper function.

  Next, the operation of determining the generation type in step S3103 will be described using the flowchart of FIG.

  (Step S3201) The operation information statistical processing means 293444 performs initialization. Initialization is a process of substituting 1 for the counter i. In addition, the initialization is, for example, a continuous state, and includes a process of summing the durations of a certain state in an OFF state.

  (Step S3202) The operation information statistical processing means 293444 determines whether or not the i-th state exists. If the i-th state exists, the process goes to step S3203. If the i-th state does not exist, the process returns to the upper function.

  (Step S3203) The operation information statistical processing unit 293444 acquires the number of occurrences of the i-th ON sub-state for a long time. The number of occurrences for a long time is the total occurrence frequency in a segment that is longer than a predetermined segment time (or longer than a predetermined segment time).

  (Step S3204) The operation information statistical processing means 293444 acquires the number of occurrences of the i-th ON sub-state in a short time. The number of occurrences in a short time is the sum of the occurrence frequencies in a section having a shorter time (or shorter than a predetermined section time) than a predetermined section time.

  (Step S3205) The operation information statistical processing unit 293444 determines whether “the number of long-time occurrences acquired in step S3203> the number of short-time occurrences acquired in step S3204”. If this condition is satisfied, the process goes to step S3206. If the condition is not satisfied, the process goes to step S3207.

  (Step S3206) The operation information statistical processing means 293444 determines the i-th state as the long-time type, and writes the information indicating the i-th state and the information indicating the long-time type as a pair. Go to step S3208.

  (Step S3207) The operation information statistical processing means 293444 determines the short-time type for the i-th state, and writes the information indicating the i-th state and the information indicating the short-time type in pairs.

  (Step S3208) The operation information statistical processing means 293444 acquires the long-time occurrence number of the i-th state OFF sub-state.

  (Step S3209) The operation information statistical processing means 293444 acquires the number of occurrences of the i-th state OFF sub-state in a short time.

  (Step S3210) The operation information statistical processing means 293444 determines whether “the number of long-time occurrences acquired in step S3208> the number of short-time occurrences acquired in step S3209”. If this condition is satisfied, the process goes to step S3211. If the condition is not satisfied, the process goes to step S3212.

  (Step S3211) The operation information statistical processing means 293444 determines the sporadic type for the i-th state, and writes the information indicating the i-th state and the information indicating the sporadic type as a pair. Go to step S3213.

  (Step S3212) The operation information statistical processing means 293444 determines the i-th state as the frequent type, and writes the information indicating the i-th state and the information indicating the frequent type as a pair.

  (Step S3213) The operation information statistical processing means 293444 registers the occurrence type for the i-th state. The occurrence type registration is, for example, writing a pair of information identifying the i-th state and long-time or short-time information and sporadic or frequent-type information.

  (Step S3214) The operation information statistical processing means 293444 increments the counter i by 1. The process returns to step S3202.

  In the flowchart of FIG. 32, the determination method of the long-time type or the short-time type, and the sporadic type or the frequent type is not limited to the above algorithm. For example, the operation information statistical processing means 293444 acquires the time segment with the largest number of occurrences of the ON state, and if the segment is a long segment, it is a long-time type, and if the segment is a short segment. It may be determined as a short-time type. In such a case, the operation information statistical processing means 293444 acquires the time segment with the highest number of occurrences of the state OFF, and if the segment is a long term segment, it is a sporadic type, and if the segment is a short term segment. Determined to be frequent.

  Further, it is not always necessary to determine the long-time type or the short-time type, and the sporadic type or the frequent type for all states. It is preferred to determine the occurrence type described above only for those conditions that show a prominent tendency.

  Hereinafter, a specific operation of the analysis apparatus according to the present embodiment will be described.

  FIG. 33 is a state type management table showing the types of states held by the operation information statistical processing means 293444. The state type management table has attributes of “ID” and “state identifier”. “State identifier” is information for identifying a state.

  FIG. 34 is a state identification information management table stored in the state identification information storage means 293446. The state identification information management table is a table for managing the correspondence between the state occurrence type and the state identification information, and has attributes of “ID”, “state identifier”, “occurrence type”, and “state identification information”. The “occurrence type” is an attribute indicating the occurrence type of the state. “State specifying information” is an attribute indicating the state specifying information.

  In such a situation, it is assumed that the analysis device 2934 has acquired contact-related information as illustrated in FIG. Then, similarly to the processing described in the first embodiment, it is assumed that the contact-related information is corrected as shown in FIG. In FIG. 14, states 1 to 4 are, for example, normal operation and abnormal stop.

  Next, the analysis device 2934 outputs a movement time histogram and a recovery work time histogram in the same manner as the processing described in the first embodiment.

  Next, the operation information generation interval and frequency measurement function, which is a feature of the present embodiment, will be described. This function is a function of the analysis process 4 described above.

  First, the operation information statistical processing means 293444 sequentially acquires state information. Then, the operation information statistical processing unit 293444 compares the previously acquired state information ((i-1) th state information) with the recently acquired state information (ith state information) until there is a change. Then, the state time variable corresponding to the state information is incremented by one. When there is a change, the information indicating the classification indicated by the value of the state time variable of the previous state, the information indicating that the previous state is ON, and the total time are stored in pairs. An example of this information is “normal operation, ON, 60 minutes”.

  Further, the operation information statistical processing means 293444 stores one or more sets of information indicating that one or more other states except the previous state are OFF and the value (duration) of the state time variable. The operation information statistical processing means 293444 acquires other states using the state type management table of FIG. 33, and information on “state identifier, OFF, total time calculated above” for all other states. Configure and register. Specifically, the operation information statistical processing means 293444 stores “abnormal stop, OFF, 60 minutes”, “no previous process work, OFF, 60 minutes”, and “full work for subsequent process, OFF, 60 minutes”.

  The operation information statistical processing means 293444 performs the above processing on all the state information. Then, it is assumed that the operation information statistical processing unit 293444 has acquired the state duration management table shown in FIG. The state duration management table manages one or more records having attributes of “ID”, “state identifier”, “sub-state identifier”, and “duration”. The “sub-state identifier” can take information indicating ON or OFF, and indicates one state by a set of values of “state identifier” and “sub-state identifier”.

  Next, the operation information statistical processing means 293444 is a state that is temporally continuous, and performs a process of totaling the durations of a certain state in an OFF state. Here, “continuous in time” means a record that is continuous in time when attention is paid to the same state identifier. That is, the record of “ID = 3”, the record of “ID = 7”, and the record of “ID = 11” in FIG. 35 are records in a continuous state that should be summed up. The same applies to the record of “ID = 4”, the record of “ID = 8”, and the record of “ID = 12” in FIG. Then, the operation information statistical processing unit 293444 adds up the attribute values of the durations of the record of “ID = 3”, the record of “ID = 7”, and the record of “ID = 11” in FIG. Get. Further, the operation information statistical processing means 293444 adds up the attribute values of the duration of the record of “ID = 4”, the record of “ID = 8”, and the record of “ID = 12” in FIG. Get. Then, the operation information statistical processing means 293444 obtains the new state duration management table of FIG.

  Next, the operation information statistical processing means 293444, for each state (normal operation, abnormal stop, etc.), each category (for example, “within 1 minute”, “within 9 minutes”, “longer than 10 minutes”, etc.) ) Get the occurrence frequency of each. This occurrence frequency is the number of records in the table of FIG. 36 having a duration that falls within the time length of each section.

  Then, the operation information statistical processing means 293444 obtains the state-specific frequency management table of FIG. The state-specific frequency management table manages one or more records having attributes of “ID”, “state identifier”, “sub-state identifier”, “classification”, and “frequency”. FIG. 37 shows that the number of times that the normal operation ON state has continued longer than 10 minutes has occurred 48 times. Also, FIG. 37 shows that the number of times that the normal operation OFF state has continued within one minute has occurred 18 times.

  Next, the operation information statistical processing unit 293444 acquires, for example, the number of occurrences “48” for a long time (for example, “longer than 10 minutes”) in the normal operation ON state. Next, the operation information statistical processing means 293444, for example, the total number of occurrences of “0” (“within 1 minute” to “within 6 minutes”) of a short time (for example, “within 6 minutes”) in the normal operation ON state. ) To get. Next, the operation information statistical processing means 293444 determines that “the number of occurrences for a long time“ 48 ”> the number of occurrences for a short time“ 0 ””. To register information indicating the long-term type.

  Next, the operation information statistical processing unit 293444 acquires the number of occurrences “1” of the normal operation OFF for a long time (for example, “longer than 10 minutes”). The operation information statistical processing means 293444 is the total of the number of occurrences of “25” (from “within 1 minute” to “within 6 minutes”) of the short time (eg, “within 6 minutes”) of normal operation OFF, Frequency within 18 minutes (including “18”). Next, the operation information statistical processing means 293444 registers “information indicating the frequent occurrence type for the normal operation state because“ the number of occurrences for a long time “1” <the number of occurrences for a short time “25” ””. . Through the above processing, the operation information statistical processing means 293444 writes the occurrence type indicating “long-time frequent occurrence type” for the normal operation state.

  Similarly, it is assumed that the operation information statistical processing unit 293444 performs processing corresponding to the abnormal stop state and writes the generation type indicating “short-time sporadic type” in the normal operation state.

  Next, the operation information statistical processing means 293444 searches the state identification information management table of FIG. 34 using the normal operation state, “long-time frequent occurrence type” as a key, and the state identification information “stable operation”. Search for. Further, the operation information statistical processing means 293444 searches the state specifying information management table of FIG. 34 using the abnormal stop state, “short-time sporadic type” as a key, and searches for the state specifying information “stable operation”. To do.

  Next, the statistical processing result output unit 293453 outputs, for example, a histogram shown in FIG. The histogram shown in FIG. 38A is a histogram (ON histogram) of the ON sub-state in the normal operation state. The histogram shown in FIG. 38B is a histogram (OFF histogram) of the OFF sub-state in the normal operation state.

  Next, the statistical processing result output means 293453 outputs the acquired state specifying information “stable operation” as shown in FIG. In the above description, two pieces of state specifying information “stable operation” are searched. However, since the two pieces of state specifying information have the same contents, the output is only one piece of state specifying information. .

  Note that the statistical processing result output means 293453 may output the histogram and the state specifying information on one screen as shown in FIG. FIG. 40 is a histogram focusing on the state of “full work in post-process”. In FIG. 40, the upper part is an ON histogram and the lower part is an OFF histogram. In FIG. 40, the stop tendency appears in the histogram. Specifically, in FIG. 40, it can be seen that tact balance disturbance, chocolate stop, and deca stop are concentrated in a certain time zone.

  As described above, according to the present embodiment, it is possible to clearly classify the occurrence tendency of the operating state by creating and outputting the histogram of the ON state and the OFF state. More specifically, for example, from the histogram of the ON state, it can be classified that it is a “long-time type” if there are many items of 10 minutes or more, and it has been found that a dock stop has occurred. When there are many things less than 5-6 minutes, it can classify | categorize into a "short-time type | mold", and it turns out that chocolate stop or tact balance disturbance has occurred. Further, from the histogram of the OFF state, for example, when there are many things longer than 5 minutes, it can be classified as “sporadic”, and it can be seen that the state rarely occurred. For example, when there are many things shorter than 5 minutes, it can classify | categorize into "frequent type", and it turns out that the state generate | occur | produced frequently. In other words, for example, classification by the histogram of the ON / OFF state, the state occurrence tendency is classified into four types of “long-time frequent type”, “long-time frequent type”, “short-time frequent type”, and “short-time frequent type”. Is possible.

  Also, when the collected and accumulated operation information has been for a long time, simply displaying them in the time chart indicates whether each operation state has been ON for a long time, or whether ON / OFF was frequently repeated. Becomes difficult to understand. By displaying this as an ON / OFF histogram and dividing it into four types of generation, it becomes possible to easily grasp the occurrence tendency of the operating state.

  In the present embodiment, the operation information statistical processing means 293444 may perform processing for configuring only the ON histogram and the OFF histogram. That is, the operation information statistical processing means 293444 does not have to perform the generation type determination or the process of acquiring the state specifying information. In such a case, the user checks the ON histogram and the OFF histogram output from the statistical processing result output unit 293453, and the generation type is determined and the state specifying information is manually specified.

  Moreover, in this Embodiment, the example of the state specific information management table was shown as FIG. The state identification information management table of FIG. 34 searches for one state identification information from one state identifier and occurrence type. However, the state specifying information management table may be as shown in FIG. In the state specifying information management table of FIG. 41, one state specifying information is specified from two or more state identifiers and occurrence types. In the record of “ID = 1” in the state identification information management table of FIG. 41, the state identifier “normal operation” is the short-time frequent type, and the state identifier “no previous process work” is the short-time frequent type. , “Tact balance is disturbed in the previous process”. In such a case, the operation information statistical processing unit 293444 performs a process of acquiring the state specifying information using a plurality of state occurrence types.

  41 is stored, the state identifier “normal operation”, the occurrence type “short-time frequent occurrence type”, the state identifier “post-process work full”, the occurrence type “ In the case of “short-time frequent occurrence type”, the operation information statistical processing means 293444 searches the state identification information management table of FIG. 41 and acquires the state identification information “Tact balance is disturbed in the subsequent process.”

  Next, the statistical processing result output means 293453 outputs a histogram (a histogram display example is shown in FIG. 38).

  Next, the statistical processing result output means 293453 outputs the acquired state specifying information “Tact balance is disturbed in the subsequent process” as shown in FIG.

  Further, for example, when the state identification information management table of FIG. 34 is used and the state identifier “abnormal stop” is sporadic type for a long time, the operation information statistical processing means 293444 receives the state identification information “ The statistical processing result output means 293453 outputs the acquired state specifying information “A rare occurrence of a stoppage”. That is, the state specifying information to be output can include various information.

  In this embodiment, the ON histogram and the OFF histogram are output at the same time, but one of the ON histogram and the OFF histogram may be output. From the output ON histogram, it can be determined whether the state occurrence type is “short-time type” or “long-time type”. Further, from the output OFF histogram, it can be determined whether the occurrence type of the state is “frequent type” or “spread type”.

  Moreover, the software which implement | achieves the analyzer in this Embodiment is the following programs. That is, the program processes a contact related information acquisition step of acquiring one or more contact related information from the data collection device and one or more contact related information acquired in the contact related information acquisition step, A program for executing an analysis step for acquiring information and an analysis result output step for outputting predetermined information acquired in the analysis step.

  Further, in the analysis step of the program, the operation information for calculating the ON duration and frequency of each state indicated by each state information of the production apparatus and calculating the OFF duration and frequency of each state indicated by each state information A statistical processing step, and in the analysis result output step, using the ON duration and frequency of each state and the OFF duration and frequency of each state calculated in the operation information statistical processing step, It is preferable to output an ON histogram and an OFF histogram, which are histograms indicating the ON and OFF frequencies.

  Further, in the operation information statistical processing step of the program, an occurrence type that is a type of occurrence of the state is further determined from the duration and frequency of the ON state and / or the duration and frequency of the OFF state, In the analysis result output step, it is further preferable to output the generation type.

  Further, in the operation information statistical processing step of the program, an occurrence type that is a state occurrence type is further determined from the duration and frequency of ON of the state and / or the duration and frequency of OFF of the state, It is preferable that the state specifying information is acquired from the generation type, and the state specifying information is further output in the analysis result output step.

  In each of the above embodiments, each process (each function) may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. May be.

  In the above program, in a transmission step for transmitting information, a reception step for receiving information, etc., processing performed by hardware, for example, processing performed by a modem or an interface card in the transmission step (only performed by hardware). Not included) is not included.

  Further, the computer that executes the program may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.

  Further, in each of the above embodiments, it goes without saying that two or more communication means (such as an output unit) existing in one apparatus may be physically realized by one medium.

  The present invention is not limited to the above-described embodiments, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the data collection system according to the present invention has an effect that, for example, the operation information of the production facility can be collected without greatly affecting the existing production facility. Useful as such.

Basic configuration diagram of production system according to Embodiment 1 Block diagram of the branching device Block diagram of the data collection device Block diagram of the analyzer Flow chart for explaining the operation of the branching device A flowchart for explaining the operation of the state recognition process Flow chart for explaining the operation of the analyzer Flow chart explaining the operation of the analysis process Flow chart explaining the operation of the analysis process Flow chart explaining the operation of the analysis process Diagram showing an example of the same code map The figure which shows the output example of the contact related information Diagram for explaining the same time correction The figure which shows the example of the contact related information before and after the same time correction The figure explaining the calculation processing of the travel time and recovery time Figure of the operation information log decoded into a pattern Figure showing the analysis result management table The figure which shows the output example of the histogram Figure showing an example of output of the same analysis result Figure showing the same state duration management table The figure which shows the graph output example which displays the ratio of the duration of the same state The figure which shows the same state information duration frequency management table The figure which shows the output example of the histogram of the statistical processing result output means The figure which shows the output example of the histogram of the statistical processing result output means Diagram showing an example of the same code map Diagram showing an example of the same code map Diagram explaining the effect of the same code map Basic configuration diagram of the production system in the second embodiment Block diagram of analyzer in embodiment 3 Flow chart for explaining the operation of the analyzer Flow chart for explaining the operation of the analyzer Flow chart for explaining the operation of the analyzer Figure showing the status type management table Figure showing the same state identification information management table Figure showing the same state duration management table Figure showing the same state duration management table Figure showing the frequency management table by state The figure which shows the output example of the histogram The figure which shows the example of output of the same state specific information The figure which shows the output example of the histogram and state specific information Figure showing the same state identification information management table The figure which shows the example of output of the same state specific information

Explanation of symbols

DESCRIPTION OF SYMBOLS 11 Production apparatus 12 Sequencer 13,183,293 Data collection system 14 Output apparatus 131 Branch apparatus 132 Network apparatus 133,1833 Data collection apparatus 134,2934 Analysis apparatus 1311 Contact information acquisition part 1312 State recognition part 1313 Status encoding part 1314 Output part 1315 Code Map Setting Unit 1321 First Contact Related Information Receiving Unit 1322 First Contact Related Information Transmitting Unit 1331 Operating Information Log Storage Unit 1332 Second Contact Related Information Receiving Unit 1333 Operating Information Log Accumulating Unit 1341 Instruction Accepting Unit 1342 Contact Related Information Acquisition Unit 1343 correction unit 1344, 29344 analysis unit 1345, 29345 analysis result output unit 13131 code map storage unit 13132 contact-related information acquisition unit 13441 state decoding unit 13442 worker Movement time information acquisition means 13443 Recovery work time information acquisition means 13444, 293444 Operation information statistical processing means 13445 Division information storage means 13451 Movement time histogram output means 13451 Recovery work time histogram output means 13453 Statistical processing result output means 18331 Second contact related information Transmitter 293446 State specifying information storage means

Claims (12)

A data collection system comprising a branch device, a network device, a data collection device, and an analysis device installed between a production device and an output device that outputs contact information that is information relating to the operation of the production device. ,
The branching device is:
A contact information acquisition unit for acquiring contact information from the production apparatus;
An output unit that transfers the contact information acquired by the contact information acquisition unit to the output device, and transmits contact related information that is information related to the contact information to the network device;
The network device is:
A first contact-related information receiving unit that receives the contact-related information from the branch device;
A first contact-related information transmitting unit that transmits the contact-related information received by the first contact-related information receiving unit to the data collection device;
The data collection device includes:
An operation information log storage unit in which the contact-related information can be stored;
A second contact related information receiving unit for receiving contact related information from the network device;
An operation information log storage unit for storing the contact related information received by the second contact related information receiving unit in the operation information log storage unit;
The analysis device includes:
A contact-related information acquisition unit that acquires one or more contact-related information from the operation information log storage unit;
Processing one or more contact-related information acquired by the contact-related information acquisition unit, and acquiring predetermined information;
An analysis result output unit for outputting predetermined information acquired by the analysis unit;
The analysis unit
State specifying information storage means for storing state specifying information, which is information for specifying a state, and one or more occurrence types in association with each other;
Calculate the ON duration and frequency of the state indicated by the state information of the production device, or calculate the OFF duration and frequency of the state indicated by the state information of the production device, and From the duration and frequency of the state OFF, determine the type of occurrence of the state, search the state identification information storage means from the occurrence type, and comprises an operation information statistical processing means for acquiring the state identification information,
The analysis result output unit
A data collection system for outputting the state specifying information acquired by the operation information statistical processing means. The analysis result output unit
The data collection system according to claim 1, wherein the generation type is further output. 3. The data collection system according to claim 1 , wherein the occurrence type is any one of “long-time frequent type”, “short-time frequent type”, “long-time frequent type”, and “short-time frequent type”. A contact-related information acquisition unit that acquires one or more contact-related information from the data collection device that constitutes the data collection system according to claim 1 ;
Processing one or more contact-related information acquired by the contact-related information acquisition unit, and acquiring predetermined information;
Comprising an analysis result output unit for outputting a predetermined information which the analysis unit has acquired,
The analysis unit
State specifying information storage means for storing state specifying information, which is information for specifying a state, and one or more occurrence types in association with each other;
Calculate the ON duration and frequency of the state indicated by the state information of the production device, or calculate the OFF duration and frequency of the state indicated by the state information of the production device, and From the duration and frequency of the state OFF, determine the type of occurrence of the state, search the state identification information storage means from the occurrence type, and comprises an operation information statistical processing means for acquiring the state identification information,
The analysis result output unit
An analysis device for outputting the state specifying information acquired by the operation information statistical processing means. The analysis result output unit
The analysis apparatus according to claim 4, further outputting the generation type. 6. The analysis apparatus according to claim 4, wherein the occurrence type is any one of “long-time frequent type”, “short-time frequent type”, “long-time sporadic type”, and “short-time sporadic type”. On the storage medium,
The state specifying information, which is information for specifying the state, is stored in association with one or more occurrence types,
A contact-related information acquisition step of acquiring one or more contact-related information from the data collection device that constitutes the data collection system according to claim 1 ;
An analysis step of processing one or more contact related information acquired in the contact related information acquiring step and acquiring predetermined information;
An analysis result output step for outputting the predetermined information acquired in the analysis step;
The analysis step includes
Calculate the ON duration and frequency of the state indicated by the state information of the production device, or calculate the OFF duration and frequency of the state indicated by the state information of the production device, and From the duration and frequency of the OFF state, determine the type of occurrence of the state, search for the recording medium from the occurrence type, and includes an operation information statistical processing step of acquiring the state specifying information,
The analysis result output step includes:
An analysis method for outputting the state specifying information acquired in the operation information statistical processing step. The analysis result output step includes:
The analysis method according to claim 7, further outputting the generation type. The analysis method according to claim 7 or 8, wherein the occurrence type is any one of "long-time frequent type", "short-time frequent type", "long-time frequent type", and "short-time frequent type". On the storage medium,
The state specifying information, which is information for specifying the state, is stored in association with one or more occurrence types,
The computer,
A contact-related information acquisition unit that acquires one or more contact-related information from the data collection device that constitutes the data collection system according to claim 1 ;
An analysis unit that processes one or more contact-related information acquired by the contact-related information acquisition unit and acquires predetermined information;
A program for functioning as an analysis result output unit that outputs predetermined information acquired by the analysis unit ,
The analysis unit
Calculate the ON duration and frequency of the state indicated by the state information of the production device, or calculate the OFF duration and frequency of the state indicated by the state information of the production device, and From the duration and frequency of the state OFF, determine the type of occurrence of the state, search the state identification information storage means from the occurrence type, comprises an operation information statistical processing means to obtain the state identification information,
The analysis result output unit
A program for causing a computer to function as outputting the state specifying information acquired by the operation information statistical processing means . The analysis result output unit
The program according to claim 10, further outputting the generation type. The program according to claim 10 or 11, wherein the occurrence type is any one of "long-time frequent type", "short-time frequent type", "long-time frequent type", and "short-time frequent type".