WO2017126090A1 - Dispositif d'affichage de graphique, procédé d'affichage de graphique, et programme d'affichage de graphique - Google Patents

Dispositif d'affichage de graphique, procédé d'affichage de graphique, et programme d'affichage de graphique Download PDF

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Publication number
WO2017126090A1
WO2017126090A1 PCT/JP2016/051744 JP2016051744W WO2017126090A1 WO 2017126090 A1 WO2017126090 A1 WO 2017126090A1 JP 2016051744 W JP2016051744 W JP 2016051744W WO 2017126090 A1 WO2017126090 A1 WO 2017126090A1
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Prior art keywords
graph
condition
value
unit
time
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PCT/JP2016/051744
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English (en)
Japanese (ja)
Inventor
橋本　昌典
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三菱電機株式会社
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Priority to PCT/JP2016/051744 priority Critical patent/WO2017126090A1/fr
Publication of WO2017126090A1 publication Critical patent/WO2017126090A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B23/00—Alarms responsive to unspecified undesired or abnormal conditions
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring

Definitions

  • the present invention relates to a graph display device, a graph display method, and a graph display program.
  • the maintenance staff When an equipment failure occurs, an abnormal phenomenon related to the cause of the failure occurs.
  • the maintenance staff Upon receiving the notification of the failure, the maintenance staff analyzes various sensor data of the equipment collected from a remote location or performs on-site analysis to identify the phenomenon that has occurred. Maintenance personnel infer the cause of the failure from the phenomenon that has occurred based on past experience and knowledge. Then, the maintenance staff checks whether the equipment operates normally after performing repairs or exchanging parts on site.
  • Patent Document 1 there is a technique for displaying a graph for detecting an abnormal value of sensor data (see, for example, Patent Document 1).
  • Problem 1 Since there are many types of data to be confirmed, it is difficult to compare data.
  • Problem 2 Since the period of data to be confirmed is long, the confirmation takes a long time.
  • Problem 3 Some data has a correlation with time difference, so it takes time to compare.
  • Problem 4 It is difficult to specify conditions because there are cases where abnormal value conditions are set and cases where normal value conditions are set.
  • Problem 5 Since there are many devices to be compared, it is difficult to determine a device whose data value is different from others.
  • the period when the sensor data is within the upper and lower limit values is the average value, the period exceeding the upper limit value is the maximum value, and the period deviating from the lower limit value
  • the minimum value is displayed on the graph.
  • various abnormal phenomena that occur in equipment.
  • the sensor data is within the range of the upper and lower limit values, it may be an abnormal value. Therefore, in order to make it easy to find an abnormal part, it is necessary to be able to specify a condition for each sensor that is a data source of sensor data. In order to cope with the problem 4, it is desirable that both an abnormal value condition and a normal value condition can be specified.
  • the object of the present invention is to make it easy to find abnormal parts of data.
  • a graph display device For each data source, a generating unit that generates a graph in which the first axis indicates time and the second axis orthogonal to the first axis indicates the value of time-series data obtained from each data source; For each data source, at least an abnormal condition that is a condition for determining the value of the time-series data as an abnormal value and a normal condition that is a condition for determining the value of the time-series data as a normal value A specification unit that accepts an operation for specifying any of the conditions; For each data source, from a condition specified by an operation on the specifying unit, a specifying unit for specifying a period in which the value of the time series data is an abnormal value; Each data source includes a display unit that emphasizes a portion of the graph generated by the generation unit corresponding to the period specified by the specifying unit and displays the graph.
  • an abnormal portion of data is specified from the conditions specified for each data source, and a graph for each data source in which the abnormal portion is emphasized is displayed. For this reason, it becomes easy to find the abnormal part of data.
  • FIG. 2 is a block diagram illustrating a configuration of a graph display device according to the first embodiment.
  • 5 is a flowchart showing the operation of the graph display apparatus according to the first embodiment.
  • FIG. 5 is a diagram illustrating an example of a graph arrangement in the first embodiment.
  • FIG. 5 is a diagram illustrating an example of condition designation in the first embodiment.
  • FIG. 6 is a diagram illustrating an example of a narrowing-down result by specifying conditions in the first embodiment. The figure which shows the example of the correlation of the sensors which generate
  • FIG. 6 shows an example of time shift of designated data in the first embodiment. The figure which shows the example in which normal conditions and abnormal conditions coexist.
  • FIG. 5 is a diagram illustrating an example of a graph arrangement in the first embodiment.
  • FIG. 5 is a diagram illustrating an example of condition designation in the first embodiment.
  • FIG. 6 is a diagram illustrating an example of a narrowing-down result by specifying conditions in the first embodiment
  • FIG. 6 is a diagram showing an example of mixed designation of normal conditions and abnormal conditions in the first embodiment. The figure which shows the example of the sensor characteristic comparison between different apparatuses.
  • FIG. 6 is a diagram illustrating an example of sensor characteristic deviation display between different devices in the first embodiment.
  • FIG. 6 is a block diagram showing a configuration of a graph display device according to a modification of the first embodiment.
  • Embodiment 1 FIG. The configuration of the apparatus according to the present embodiment, the operation of the apparatus according to the present embodiment, and the effects of the present embodiment will be described in order.
  • the graph display device 100 is a computer.
  • the graph display device 100 includes hardware such as a processor 101, a memory 102, a storage device 103, an input interface 104, and a display interface 105.
  • the processor 101 is connected to other hardware via a signal line, and controls these other hardware.
  • the input interface 104 is connected to an input device (not shown).
  • the display interface 105 is connected to a display (not shown).
  • the graph display device 100 includes, as functional elements, an accumulation unit 201, an arrangement designation unit 202, a condition designation unit 203, a threshold designation unit 204, a time difference designation unit 205, a normal / abnormal designation unit 206, a designation unit 210, and a comparison unit. 207, a specifying unit 208, a generation unit 209, and a display unit 211.
  • the function of the storage unit 201 is realized by the storage device 103.
  • the functions of the designation unit 210, the comparison unit 207, the specification unit 208, the generation unit 209, and the display unit 211, that is, the functions of “units” other than the storage unit 201 are realized by software.
  • the processor 101 is an IC (Integrated Circuit) that performs processing. Specifically, the processor 101 is a CPU (Central Processing Unit).
  • IC Integrated Circuit
  • CPU Central Processing Unit
  • the memory 102 is a flash memory or a RAM (Random / Access / Memory).
  • the time series data 301 is stored in the storage device 103.
  • the time series data 301 may be arbitrary data as long as it has data in time series, but in the present embodiment, it is sensor data obtained from various sensors of the device.
  • the storage device 103 is a flash memory or an HDD (Hard / Disk / Drive). Note that the storage device 103 may be integrated into the memory 102. Specifically, the storage device 103 may be implemented as a flash memory that is physically the same as the memory 102.
  • the input interface 104 is a port to which an input device cable (not shown) is connected.
  • the input interface 104 is used for receiving an operation of an input device by a user.
  • the input interface 104 is a USB (Universal / Serial / Bus) terminal.
  • the input device is a mouse, a keyboard, or a touch panel.
  • the display interface 105 is a port to which a display cable (not shown) is connected.
  • the display interface 105 is used to display on the display screen a graph 401 in which the first axis indicates the time and the second axis orthogonal to the first axis indicates the value of the time-series data 301 obtained from various sensors of the device. It is done.
  • the horizontal axis of the graph 401 corresponds to the first axis
  • the vertical axis corresponds to the second axis.
  • the display interface 105 is a USB terminal or an HDMI (registered trademark) (High Definition, Multimedia, Interface) terminal.
  • the display is an LCD (Liquid / Crystal / Display).
  • the graph display device 100 may include a communication device as hardware.
  • the communication device includes a receiver that receives data and a transmitter that transmits data.
  • the communication device is specifically a communication chip or a NIC (Network, Interface, Card).
  • the storage device 103 stores a program that realizes the function of “unit”. This program is loaded into the memory 102 by the processor 101 and executed by the processor 101.
  • the storage device 103 also stores an OS (Operating System).
  • the processor 101 loads the OS into the memory 102 and executes a program that realizes the function of “unit” while executing the OS.
  • the graph display device 100 may include only one processor 101, or may include a plurality of processors 101.
  • a plurality of processors 101 may execute a program for realizing the function of “unit” in cooperation with each other.
  • Information, data, signal values, and variable values indicating the processing results of “unit” are stored in the memory 102, the storage device 103, or a register or cache memory in the processor 101.
  • the program for realizing the function of “unit” may be stored in a portable recording medium such as a magnetic disk or an optical disk.
  • the operation of the graph display apparatus 100 which is an apparatus according to the present embodiment, will be described.
  • the operation of the graph display device 100 corresponds to the graph display method according to the present embodiment.
  • the operation of the graph display device 100 corresponds to the processing procedure of the graph display program according to the present embodiment.
  • the accumulation unit 201 accumulates time-series data 301 in advance.
  • the time series data 301 is sensor data obtained from various sensors of the device. That is, each data source of the time-series data 301 is a sensor installed in the same device or a sensor installed in a separate device.
  • the graph display device 100 functions as a system that supports equipment maintenance or as part of the system. The user of the graph display device 100 is a maintenance person.
  • step S11 the designation unit 210 receives an operation by a user who has been notified that a device has failed.
  • one device and two or more sensors provided in the one device are designated, or two or more devices and each of the two or more devices are provided.
  • One or more sensors are designated.
  • step S12 the generation unit 209 generates a graph 401 for each sensor. Specifically, the generation unit 209 reads the time series data 301 from the storage unit 201 and generates a graph 401 for each sensor specified in step S11. As described above, in the present embodiment, the graph 401 is a two-dimensional graph in which the horizontal axis indicates the time and the vertical axis indicates the value of the time series data 301 obtained from each sensor.
  • the display unit 211 displays the graph 401 generated by the generation unit 209 for each sensor. Specifically, as shown in FIG. 3, the display unit 211 displays graphs 401 of at least two sensors that are correlated with the values of the time-series data 301 among the graphs 401 generated by the generation unit 209. Display side by side. While the graph 401 is displayed, the user can freely determine the arrangement of the graph 401. An operation for designating or changing the arrangement order of the graph 401 displayed by the display unit 211 is accepted by the arrangement designating unit 202. The display unit 211 changes the arrangement order of the graphs 401 on the display screen according to the content of the operation on the arrangement specifying unit 202.
  • the display unit 211 displays, for each sensor, a graphic element 411 for operating the designation unit 210 next to the displayed graph 401.
  • the graphic element 411 is a button in the present embodiment, but may be another type of element such as a pull-down menu.
  • the condition designating unit 203 accepts an operation for designating at least one of an abnormal condition and a normal condition for each sensor.
  • the abnormal condition is a condition for determining the value of the time series data 301 as an abnormal value.
  • the normal condition is a condition for determining the value of the time series data 301 as a normal value.
  • the condition specifying unit 203 accepts an operation of pressing a button that is a graphic element 411.
  • step S14 if it is necessary to specify a threshold for the condition specified in step S13, the flow proceeds to step S15. If not necessary, the flow proceeds to step S16.
  • step S15 the threshold value specifying unit 204 receives an operation for specifying a threshold value for each sensor for which a condition that requires specification of the threshold value is specified.
  • the threshold value specifying unit 204 inputs the specified threshold value to the specifying unit 208. Then, the flow proceeds to step S16.
  • the normal / abnormal designation unit 206 accepts an operation for selecting whether the condition designated in step S13 is a normal condition or an abnormal condition. Specifically, as shown in FIG. 9, the normal / abnormal designation unit 206 accepts an operation of selecting either a normal condition or an abnormal condition depending on the number of times the button that is the graphic element 411 is pressed. In the present embodiment, when the button is pressed once, the button is surrounded by a solid thick frame representing an abnormal condition. When the button is pressed twice, the button is surrounded by a thick dotted line frame indicating a normal condition. When the button is pressed three times, the button returns to the same state as when the button is pressed zero times.
  • the condition designating unit 203 has accepted an operation for designating the normal condition in step S13, and the flow proceeds to step S17.
  • the condition specifying unit 203 receives an operation for specifying the abnormal condition in step S13, and the condition specifying unit 203 notifies the specifying unit 208 of the specified condition. Specifically, the condition specifying unit 203 inputs a character string indicating a condition corresponding to the button pressed in step S13 to the specifying unit 208. Then, the flow proceeds to step S18.
  • the format of the character string which shows conditions is arbitrary formats, a regular expression can be used as a specific example.
  • step S17 the condition specifying unit 203 converts the specified condition into an abnormal condition.
  • the condition specifying unit 203 notifies the specifying unit 208 of the converted condition as the specified condition.
  • the condition designating unit 203 converts the condition corresponding to the button pressed in step S13 from a normal condition to an abnormal condition, and inputs a character string indicating the abnormal condition to the specifying unit 208. Then, the flow proceeds to step S18.
  • step S18 the designation unit 210 records the conditions designated in step S13 to step S17 in the storage unit 201. Thereby, various conditions input by the user are accumulated in the accumulation unit 201.
  • step S19 the specifying unit 208 specifies a period during which the value of the time-series data 301 is an abnormal value from the conditions specified by the operation on the specifying unit 210 for each sensor. Specifically, for each sensor, the specifying unit 208 sets time-series data to a condition defined by the character string input in step S16 or step S17 and the threshold value input in step S15 if there is a threshold value. A period in which the value 301 matches is detected.
  • step S20 the display unit 211 displays the graph 401 by emphasizing a part corresponding to the period specified by the specifying unit 208 of the graph 401 generated by the generating unit 209 for each sensor. Specifically, as shown in FIGS. 4, 5, and 9, the display unit 211 surrounds a portion corresponding to the period detected in step S ⁇ b> 19 of the graph 401 generated in step S ⁇ b> 12 with a thick frame. As in the example of FIGS. 5 and 9, the display unit 211 emphasizes only the portion corresponding to the overlapping period between the graphs 401 of at least two sensors provided in the same device, and thus the device is abnormal. It is possible to notify the user of the period during which the error occurs.
  • the sensor data can be shifted by the user inputting information on the correlation time difference to the time difference designating unit 205. That is, in step S ⁇ b> 11, the time difference specifying unit 205 receives an operation for specifying at least two sensors correlated with values at different times of the time-series data 301 and numerical values indicating the time difference.
  • the generation unit 209 when generating the graph 401 of the at least two sensors, the generation unit 209 generates a graph 401 in which the horizontal axes are shifted by the difference in time as illustrated in FIG.
  • the comparison unit 207 calculates a statistic such as an average value of sensor data, and sends the calculation result to the generation unit 209. It is desirable that the sensors installed in different devices for which the comparison unit 207 calculates statistics are sensors of a common type. Sensor types include pressure sensors, temperature sensors, humidity sensors, human sensors, illuminance sensors, and the like.
  • the generation unit 209 generates another graph 401 in which the horizontal axis indicates time and the vertical axis indicates the calculation result transmitted from the comparison unit 207. That is, the generation unit 209 generates another graph 401 in which the first axis indicates the time and the second axis indicates the statistic of the value of the time series data 301 obtained from two or more sensors. As shown in FIG. 11, the display unit 211 superimposes and displays the graph 401 of the two or more sensors and the other graph 401 among the graphs 401 generated by the generation unit 209.
  • Sensor data is data in which multiple sensor values are recorded in chronological order. Graphing the sensor data can help to identify the abnormality, but it is difficult to identify the cause of the abnormality from a huge amount of data.
  • the arrangement designation unit 202 analyzes the correlated graph 401 by allowing the free graph 401 to be replaced after the time axis is matched. Easy to do.
  • the layout designation method there is a method in which the graph 401 can be moved to a free place by the user dragging and dropping the graph 401.
  • Issue 2 Because the period of data to be confirmed is long, it takes a long time to confirm”.
  • the user can input the characteristics of the graph 401 as a condition. Then, the graph display device 100 automatically extracts a portion that matches the input condition. Thereby, it is possible to extract a period in which there is a possibility of abnormality from long-term data.
  • the specifying unit 208 determines an abnormal condition.
  • the generation unit 209 extracts a period in which there is a possibility of abnormality from the data read from the storage unit 201 and the condition determined by the specifying unit 208, and generates a graph 401.
  • examples of features of the graph 401 include (1) “monotonically increasing”, (2) “monotonically decreasing”, (3) “turning to decrease”, (4) “turning to increase”, (5 Eight features can be selected: “Increase and exceed threshold”, (6) “Decrease and exceed threshold”, (7) “Greater than threshold”, and (8) "Less than threshold”. As shown in FIGS. 4 and 5, by placing a condition designating button next to the graph 401, the condition can be easily input to the graph display device 100.
  • the condition for determining that an abnormality has occurred in the device is defined by a combination of conditions for determining that the data of a plurality of sensors has an abnormal value. Therefore, the corresponding period can be narrowed down by the logical product of the input conditions. As a result, as shown in the example of FIG. 5, a period in which there is a possibility of abnormality is narrowed down, and a thick frame is displayed in the period in the graph 401.
  • Issue 3 is “Some data has a correlation with time difference, so it takes time to compare”.
  • Some sensor data are correlated with each other. If the correlation does not hold, an abnormality has occurred. Correlation may occur with a time difference. In that case, as shown in FIG. 6, it is difficult to visually recognize whether or not an abnormality has occurred by simply displaying the graph 401 in an aligned manner.
  • data comparison is facilitated by shifting the time axis in advance only for designated data. Specifically, as shown in FIG. 7, when there is a knowledge that “the value of data B rises with a delay of 2 seconds when data A becomes a value indicating ON”, the knowledge is obtained from the time difference designation unit 205. Is set, the graph 401 is displayed after the time axis of the data B is shifted.
  • Issue 4 is that it is difficult to specify conditions because there are cases where abnormal value conditions are set and normal value conditions are set.
  • abnormal conditions There are abnormal conditions and normal conditions as conditions. As a specific example, as shown in FIG. 8, it is assumed that there is an abnormal condition that “data A never exceeds a certain value x”. Further, it is assumed that there is a normal condition that “data C increases when data B exceeds a certain threshold”.
  • the condition specifying unit 203 automatically converts normal conditions into abnormal conditions.
  • the storage unit 201 stores the converted conditions. That is, the storage unit 201 stores only abnormal conditions as conditions. As shown in FIG. 9, the abnormal condition and the normal condition are selected by button operation.
  • Problem 5 is that “it is difficult to distinguish a device whose data value is different from other devices because there are many devices to be compared”.
  • the comparison unit 207 calculates an index such as an average value of data obtained from the same sensor of different devices. By displaying the calculation result of the comparison unit 207 as the graph 401, it becomes easy to visually identify the abnormal device.
  • the graph display device 100 inputs a free rearrangement of the graph 401 at the time of analysis of the graph 401, a feature input of the graph 401 for specifying a condition, and a correlation condition regarding time between sensor data. It has functions such as shifting of the time axis by the simultaneous input, simultaneous input of abnormal conditions and normal conditions. As a result, it is possible to support abnormality analysis.
  • the graph can be freely exchanged after matching the time axes of the correlated sensor data in the operation of identifying the cause of the malfunction due to the equipment failure.
  • the feature of the graph 401 related to the abnormal condition can be specified by the user via the interface.
  • the present embodiment it is possible to collate data based on the input abnormal condition, extract the abnormal period, and display the period in which there is a possibility of abnormality.
  • the time axis of designated sensor data can be shifted in advance and displayed side by side with other sensor data.
  • the graph display device 100 it is possible to input the abnormal condition and the normal condition to the graph display device 100 in a mixed manner.
  • an index such as an average value of the same sensors between different devices can be calculated and displayed on the graph 401.
  • the graph display device 100 includes hardware such as a processing circuit 109, a storage device 103, an input interface 104, and a display interface 105.
  • the processing circuit 109 is a dedicated electronic circuit that realizes the function of the “unit” described above.
  • the processing circuit 109 may be a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, a logic IC, a GA (Gate Array), an ASIC (Application Specific Integrated Circuit), or FPGA (Field-Programmable / Gate / Array).
  • unit may be realized by one processing circuit 109 or may be realized by being distributed to a plurality of processing circuits 109.
  • the function of “unit” may be realized by a combination of software and hardware. That is, one or several “unit” functions may be realized by dedicated hardware, and the remaining functions may be realized by software.
  • the processor 101, the memory 102, and the processing circuit 109 are collectively referred to as a “processing circuit”. That is, regardless of the configuration of the graph display device 100 shown in FIGS. 1 and 12, the function of “unit” is realized by the processing circuitry.
  • Part may be read as “Process”, “Procedure” or “Process”.
  • 100 graph display device 101 processor, 102 memory, 103 storage device, 104 input interface, 105 display interface, 109 processing circuit, 201 storage unit, 202 arrangement designation unit, 203 condition designation unit, 204 threshold designation unit, 205 time difference designation unit 206 normal / abnormal designation part, 207 comparison part, 208 identification part, 209 generation part, 210 designation part, 211 display part, 301 time series data, 401 graph, 411 graphic element.

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  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
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  • General Engineering & Computer Science (AREA)
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Abstract

L'invention concerne un dispositif d'affichage de graphique (100), dans lequel une unité génératrice (209) génère un graphique (401) pour chaque capteur qui est une source de données pour des données de série de temps (301). Une unité de désignation (210) accepte, pour chaque capteur, une opération qui désigne une condition anormale et/ou une condition normale. Une unité d'identification (208) identifie, pour chaque capteur, à partir des conditions désignées, un intervalle durant lequel une valeur des données de série de temps (301) a été une valeur anormale. Une unité d'affichage (211) affiche le graphique (401) pour chaque capteur, dans lequel une partie qui correspond à l'intervalle qui a été identifié par l'unité d'identification (208) est mise en valeur.
PCT/JP2016/051744 2016-01-21 2016-01-21 Dispositif d'affichage de graphique, procédé d'affichage de graphique, et programme d'affichage de graphique WO2017126090A1 (fr)

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PCT/JP2016/051744 WO2017126090A1 (fr) 2016-01-21 2016-01-21 Dispositif d'affichage de graphique, procédé d'affichage de graphique, et programme d'affichage de graphique

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PCT/JP2016/051744 WO2017126090A1 (fr) 2016-01-21 2016-01-21 Dispositif d'affichage de graphique, procédé d'affichage de graphique, et programme d'affichage de graphique

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WO2019239461A1 (fr) * 2018-06-11 2019-12-19 株式会社日立製作所 Procédé de détection de fuite d'eau, dispositif de détection de fuite d'eau et terminal capteur de vibrations

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JP2000352528A (ja) * 1999-06-10 2000-12-19 Mitsubishi Electric Corp トレンドグラフの表示方法
JP2007196480A (ja) * 2006-01-25 2007-08-09 Nissei Plastics Ind Co 成形機のデータ処理方法及び装置
JP2008140110A (ja) * 2006-12-01 2008-06-19 Yokogawa Electric Corp プロセス解析支援装置およびプロセス解析支援方法
JP2010026632A (ja) * 2008-07-16 2010-02-04 Chugoku Electric Power Co Inc:The 監視システムおよび監視方法
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JP2000225099A (ja) * 1999-02-08 2000-08-15 Hitachi Ltd 生体磁場計測装置
JP2000352528A (ja) * 1999-06-10 2000-12-19 Mitsubishi Electric Corp トレンドグラフの表示方法
JP2007196480A (ja) * 2006-01-25 2007-08-09 Nissei Plastics Ind Co 成形機のデータ処理方法及び装置
JP2008140110A (ja) * 2006-12-01 2008-06-19 Yokogawa Electric Corp プロセス解析支援装置およびプロセス解析支援方法
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JPWO2019239461A1 (ja) * 2018-06-11 2021-06-10 株式会社日立製作所 漏水検知方法、漏水検知装置及び振動センサ端末
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