JP2008097128A - Management apparatus, analysis apparatus and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To easily and accurately manage the operation status of a plurality of pieces of production equipment installed in a plant or the like. <P>SOLUTION: A management apparatus for managing the operation status of a plurality of pieces of production equipment comprises a power consumption measurement part for measuring the power consumption of each piece of production equipment, a status identification part for identifying the operation status of each piece of production equipment by the power consumption of the production equipment and the power consumption of other production equipment related to the production equipment, both measured by the power consumption measurement part, and a status storage part for storing the operation status of each piece of production equipment identified by the status identification part. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a management device, an analysis device, and a program. In particular, the present invention relates to a management device or a management device that manages or analyzes an operating state of a production facility installed in a factory or the like.

  In a factory or the like in which a plurality of production facilities are installed, information obtained by analyzing and managing the operation state of the production facility in time series can be used for production management of the factory or the like. For example, by analyzing and managing the operating state of the production facility in time series, it is possible to examine whether each production facility consumes excess power. In addition, information such as the time-series operation state of the production facility and the time-series power consumption of the production facility can also be used for studying improvement of production efficiency and replacement of the production facility.

  Generally, the operating state of production equipment in a factory or the like is managed by the manual operation of the operator of each production equipment. For example, the operator records the operating state of the production facility at a predetermined time. The following patent documents are known as prior art documents relating to means for measuring production facility information or means for managing production facility operation information.

JP 2004-30061 A JP 2004-70424 A Japanese Patent Laid-Open No. 2005-69766 JP 2005-114479 A

  However, it is difficult to manage the operating state accurately in the management of the operating state by an operator's manual work. Further, when analyzing information related to the operating state, it is necessary to input the management state recorded by the operator to the analyzing apparatus.

  On the other hand, it is also conceivable to automatically manage the operating state of the production facility by detecting the power consumption of the production facility. However, in such management, it is only possible to manage a state in which the production facility is operating and consuming a certain amount of power, or a state in which the production facility is stopped or standing by and hardly consumes power.

  For example, a normal production state, a production preparation state, a stop state, etc. can be considered as the operation state of the production equipment in the manufacturing factory. In the production state, the power consumption is high because the production facility is operating, and in the preparation state and the stop state, the power consumption of the production facility is low. For this reason, it is difficult to determine whether the production facility is in a ready state or in a stopped state only with the power consumption of the production facility.

  Thus, it is difficult to accurately manage the various operating states of the production equipment. For this reason, it has been difficult to provide information on the operating state so that it is possible to accurately determine items such as a method for reducing power consumption in a factory and a time for replacing a production facility.

  Therefore, an object of one aspect of the present invention is to provide a management device, an analysis device, and a program that solve the above-described problems. This object is achieved by a combination of features described in the independent claims. The dependent claims define further advantageous specific examples of the present invention.

  In order to solve the above-described problem, in the first embodiment of the present invention, a management device that manages the operating state of a plurality of production facilities, and measures the power consumption of the production facility for each production facility. And a state determination unit that determines the operating state of each production facility based on the power consumption of the production facility measured by the power consumption measurement unit and the power consumption of other production facilities corresponding to the production facility And a state storage unit that stores the operation state of the production facility determined by the state determination unit for each production facility.

  In the second embodiment of the present invention, a management apparatus for managing the operating state of the production facility, the power consumption measuring unit for measuring the power consumption of the production facility, and the operating state of the production facility are represented by the power consumption of the production facility. And determining the skill of the operator of the production facility based on at least one of the number of times the production facility has entered a predetermined operating state or the accumulated time during a predetermined period. A management device including a skill determination unit is provided.

  In the third aspect of the present invention, an analysis device that analyzes the operating state of a plurality of production facilities based on the power consumption of each production facility, wherein the operating state of each production facility is A state discriminating unit that discriminates based on power consumption and the power consumption of other production facilities corresponding to the production facility, and a state in which the operation state of the production facility that is discriminated by the state discriminating unit is stored for each production facility An analysis apparatus including a storage unit is provided.

  A program that causes a computer to function as a management device that manages the operating state of a plurality of production facilities, and that corresponds to the operating state of each production facility, the power consumption of the production facility, and the production facility. There is provided a program for functioning as a state storage unit that stores a state determination unit that is determined based on power consumption of each production facility, and an operation state of the production facility that is determined by the state determination unit for each production facility.

  A program that causes a computer to function as a management device that manages the operating state of a production facility, the computer being configured with a state determining unit that determines the operating state of the production facility based on the power consumption of the production facility Provided is a program that functions as a skill determination unit that determines the skill of an operator of a production facility based on at least one of the number of times that the production facility is in a predetermined operating state or the accumulated time during the period.

  The above summary of the invention does not enumerate all the necessary features of the present invention, and sub-combinations of these feature groups can also be the invention.

  Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the scope of claims, and all combinations of features described in the embodiments are included. It is not necessarily essential for the solution of the invention.

  FIG. 1 is a diagram illustrating an example of a configuration of a management apparatus 100 according to an embodiment of the present invention. The management device 100 is a device that manages the operating state of a plurality of production facilities (200-1, 200-2,..., 200-n, hereinafter collectively referred to as 200) installed in a factory or the like. A power measurement unit 10 and an analysis device 70 are provided. The management device 100 may be provided for each factory, for example, and connected to the head office server 220 via the network 210. The head office server 220 may receive information on the operating state of the production equipment 200 in each factory from each management device 100 provided for each factory.

  The production facility 200 may be a machine tool that performs processes such as pressing, drilling, cutting, and polishing. The production facility 200 may be a facility such as a compressor. Moreover, the production facility 200 may indicate a part of the facility. The production facility 200 may be a machine that performs a part of the process. In this case, the production facility 200 is linked with another production facility 200 that performs the remainder of the process. Interlocking may refer to the operation of another production facility 200 when the state of a predetermined production facility 200 satisfies a predetermined condition, for example.

  For example, the first production facility 200-1 controls the position of the workpiece by driving a stage on which the workpiece is placed, and the second production facility 200-2 performs processing for processing the workpiece. In this case, the second production facility 200-2 starts processing on the condition that the stage of the first production facility 200-1 has reached a predetermined position. In this case, the first production facility 200-1 and the second production facility 200-2 are linked. Moreover, the management apparatus 100 may manage each power unit as the production facility 200 in a facility including a plurality of power units. For example, in a facility including a main power unit and a subordinate power unit that operates depending on the main power unit, the main power unit and the subordinate power unit may be managed as the production equipment 200 to be interlocked.

  The production facility 200 has a plurality of operating states. For example, the production facility 200 operates to process the process and consumes operating power, “production state”, and the production facility 200 consumes standby power to perform preparation for processing the process. It has an operation state such as a “stop state” in which power consumption is low without processing or preparation. The management device 100 measures the power consumption of the production facility in time series, and detects which operating state of each production facility 200 is in time series.

  The power consumption measuring unit 10 measures the power consumption of the production facility 200 for each production facility 200. The power consumption measuring unit 10 in this example includes a sensor 12 provided for each production facility 200. Each sensor 12 may be provided, for example, in a distribution board that supplies power to each production facility 200, and may measure power supplied to the production facility 200 in time series. For example, the sensor 12 may convert the measured power consumption into digital data, and output each digital data with a time stamp.

  The analysis device 70 analyzes the operating state of each production facility 200 based on the power consumption of the production facility 200 measured by the power consumption measurement unit 10. The analysis device 70 may receive the measurement result of the power consumption measurement unit 10 in the factory or via a network. That is, the analysis device 70 may be provided in the factory or may be provided outside the factory.

  Moreover, the analysis apparatus 70 may analyze the operation state per minute based on the power consumption per minute of each production facility 200. In this case, the average value of the power consumption in each minute may be used as the power consumption per minute of the production facility 200. The analysis device 70 in this example includes a data server 20, a state determination unit 30, a state storage unit 40, an accumulation unit 50, a display unit 60, a correspondence storage unit 90, and a skill determination unit 80.

  The data server 20 stores time-series power consumption measured by each sensor 12 of the power consumption measurement unit 10. The data server 20 may store the power consumption digital data and time stamp received from each sensor 12 for each production facility 200.

  The state determination unit 30 determines the operating state of each production facility 200 based on the power consumption of the production facility 200 measured by the power consumption measurement unit 10 and the power consumption of the production facility 200 corresponding to the production facility 200. Determine. For example, when the first production facility 200-1 and the second production facility 200-2 are linked, the state determination unit 30 determines the operating state of the first production facility 200-1 in each time zone. You may discriminate | determine based on the power consumption of the 1st production facility 200-1 and the power consumption in the said time slot | zone of the 2nd production facility 200-2. Similarly, the operating state of the second production facility 200-2 may be determined based on the power consumption of the first production facility 200-1 and the power consumption of the second production facility 200-2. A configuration example and an operation example of the state determination unit 30 will be described later with reference to FIGS.

  The correspondence storage unit 90 stores the correspondence relationship of each production facility 200 in advance. In this example, the correspondence storage unit 90 stores in advance the correspondence relationship of the production equipment 200 that is interlocked. For example, the correspondence storage unit 90 stores the identification information of each production facility 200 in association with the identification information of the production facility 200 linked to the production facility 200. Here, the identification information may be a number assigned to each production facility 200 and another production facility 200 so as to be distinguishable. When there are a plurality of production facilities 200 linked to one production facility 200, the correspondence storage unit 90 associates the identification information of the plurality of production facilities 200 with the identification information of the one production facility 200. May be stored. When determining the operating state of each production facility 200, the state determination unit 30 detects the production facility 200 associated with the production facility 200 with reference to the correspondence storage unit 90.

  The state storage unit 40 stores the operating state of the production facility 200 determined by the state determination unit 30 for each production facility 200. Further, the state storage unit 40 stores the operating state of each production facility 200 in time series. For example, the state storage unit 40 may store the operating state of each production facility 200 every minute.

  The accumulating unit 50 calculates the accumulated time of each operating state for each production facility 200. The accumulating unit 50 may calculate, for each production facility 200, the total of the length of time in which each operation state has been achieved during, for example, 24 hours. Further, the accumulating unit 50 may calculate the accumulated time length of each operation state in units of weeks and months. An accumulation example of the accumulation unit 50 will be described later with reference to FIG.

  The display unit 60 displays the operating state for each production facility 200 stored by the state storage unit 40. For example, the display unit 60 may display the operation state of each production facility 200 every minute in time series. Further, the display unit 60 may display the total time calculated by the total unit 50 together. A display example on the display unit 60 will be described later with reference to FIG.

  The skill determination unit 80 determines the skill of the operator who operates each production facility 200 based on the operating state of the production facility 200. The operator's skill may indicate, for example, the production efficiency in the production facility 200, and is determined based on, for example, whether the production facility 200 is not operating wastefully or consuming wasteful power. can do. An operation example of the skill determination unit 80 will be described later with reference to FIG.

  FIG. 2 is a diagram illustrating an example of the configuration of the state determination unit 30. The state determination unit 30 includes a comparison unit 32, a comparison result storage unit 34, a determination unit 36, and a time range storage unit 38. The comparison unit 32 generates a comparison result in which time series power consumption data of each production facility 200 stored in the data server 20 is compared with a predetermined threshold value in time series. For example, the comparison unit 32 may generate a binary comparison result indicating which of the power consumption data value and the threshold value is greater. Further, the comparison unit 32 may compare a plurality of threshold values with power consumption data values and generate a multi-value comparison result.

  Further, when the power consumption data value is equal to the threshold value, the comparison unit 32 outputs one comparison result arbitrarily selected in advance among the binary comparison results. That is, the comparison unit 32 may generate a binary comparison result indicating whether or not the power consumption data value is greater than the threshold, and the binary comparison result indicating whether or not the power consumption data value is greater than or equal to the threshold. May be generated. Further, the comparison unit 32 may use a different threshold value for each production facility 200. Further, the comparison unit 32 may use the same threshold value for a plurality of production facilities 200 that perform the same or the same type of processing.

Each sensor 12 may have means for measuring the temperature of the corresponding production facility 200. In this case, time series measurement results of power consumption and temperature of each production facility 200 are stored in the data server 20.

  The comparison result storage unit 34 stores the comparison results generated by the comparison unit 32 in time series for each production facility 200. For example, the comparison result storage unit 34 may store a comparison result every minute for each production facility 200.

  The determination unit 36 compares the comparison result generated by the comparison unit 32 with respect to the power consumption of the production facility 200 whose operation state should be determined, and the comparison result generated with the comparison unit 32 with respect to the power consumption of the production facility 200. Based on this, the operating state of the production facility 200 is determined.

  FIG. 3 is a diagram for explaining an example of the operation of the comparison unit 32. FIG. 3A shows an example of the power consumption waveform of the first production facility 200-1 in a predetermined period, and FIG. 3B shows the power consumption waveform of the second production facility 200-2 in the period. An example is shown. As shown in FIGS. 3A and 3B, the comparison unit 32 outputs a comparison result obtained by comparing the power consumption of each production facility 200 with a predetermined threshold value. At this time, the comparison unit 32 may use different first threshold values A and second threshold values B in the respective production facilities 200.

  FIG. 4 is a diagram illustrating an example of the operation of the state determination unit 30. First, the determination unit 36 selects the first production facility based on the comparison result obtained by comparing the power consumption of the first production facility 200-1 and the first threshold A among the comparison results output from the comparison unit 32. It is determined whether 200-1 is in a production state. In this example, when the section indicating the logical value 0 (power consumption is smaller than the first threshold A) in the comparison result is longer than a predetermined value, the operating state of the first production facility 200-1 in the section is the production. It is determined as a standby / stop state that is not a state. Further, the operating state of the first production facility 200-1 in the section other than the section is determined as the production state. In this example, the operation state in the section 1 and the section 2 is determined as a standby / stop state that is not a production state, and the operation state in another section is determined as a production state. In FIG. 4, a time zone in which no stop state exists is shown as an example.

  Moreover, the comparison part 32 may distinguish and determine a standby state and a stop state using another threshold value. For example, the comparison unit 32 compares the third threshold C, which is smaller than the first threshold A, with the power consumption of the first production facility 200-1, and the first production facility 200-1 is in a standby state. It may be determined whether there is a stop state. Specifically, when the power consumption of the first production facility 200-1 is larger than the third threshold C and smaller than the first threshold A, the standby state is determined, and the power consumption is the third threshold C. You may determine with a stop state when smaller than it.

  Next, based on the comparison result comparing the power consumption of the second production facility 200-2 and the second threshold value B, the determination unit 36 determines the first production facility 200-1 in the sections 1 and 2. It is determined whether the standby state is a preparation state or a chocolate stop state. The preparation state is a state where preparation for processing a process is performed, and is also referred to as a “setup state”. Moreover, a chocolate stop state is a state which is not a preparation state among standby states, for example. For example, the preparation state is a standby state planned in advance as a preparation for processing a process in the operation schedule of the production facility 200, and the choke stop state is a standby state that is not planned in advance in the operation schedule. is there.

  In this example, when the logical value 1 exists in the comparison result of the second production facility 200-2 in the section 1 and the section 2, the operation state of the first production facility 200-1 in the section is set as the preparation state. When the logical value 1 does not exist in the comparison result of the second production facility 200-2 in the section, the operating state of the first production facility 200-1 in the section is determined as the chocolate stop state. In this example, since there is no comparison result (logical value 1) that the power consumption of the second production facility 200-2 is greater than the second threshold B in the section 1, the first production facility 200 in the section 1 is present. -1 is determined to be a choke stop state, and in section 2, there is a comparison result that the power consumption of the second production facility 200-2 is greater than the second threshold value B, so the first in section 2 The operation state of the production facility 200-1 is determined as the preparation state.

  For example, when a plurality of production facilities 200 work in conjunction with each other, other production facilities 200 may be in a ready state until a predetermined production facility 200 performs a predetermined operation. In such a case, the power consumption of the production facility 200 in the ready state is reduced. For this reason, it cannot be distinguished from the power consumption of the said production equipment 200 whether the said production equipment 200 is a preparation state or a chocolate stop state. On the other hand, the determination unit 36 in this example determines the operating state of the production facility 200 further based on the power consumption of the other production facility 200 to be interlocked. It is possible to accurately determine whether the vehicle is stopped. For this reason, the operating state of the production facility 200 can be managed with high accuracy.

  In this way, by accurately managing the operating state of the production facility 200, information used for analysis such as whether the production facility 200 is operating efficiently or whether the production facility 200 is consuming wasteful power can be accurately obtained. Can be provided well. For example, when the production facility 200 is in a choke-stopped state, it is possible to analyze that standby power consumed by the production facility 200 is power that does not contribute to factory production. On the other hand, when the production facility 200 is in the production state and the preparation state, it can be analyzed that the power consumed by the production facility 200 is the power contributing to the production of the factory. Therefore, it is possible to provide an index as to how much power consumption of the factory can be reduced.

  Further, as shown in FIG. 4, the determination unit 36 determines whether each section determined as a production state, a standby state (a preparation state or a chocolate stop state), or a stop state belongs to a predetermined time range. Based on this, the operating state of each section may be determined in more detail.

  FIG. 5 shows an example in which the operating state of the production facility 200 is determined in more detail. In this example, the determination unit 36 determines in detail the operating state of the production facility 200 based on the time range stored by the time range storage unit 38. In addition, the determination part 36 in this example determines the operating state of the production facility 200 in a 24-hour period.

  First, the determination unit 36 determines whether the operation state of the production facility 200 in each section is a production state, a preparation state, a chocolate stop state, or a stop state by the method described with reference to FIG. An example of the determination result is shown in the middle part of FIG.

  Next, the determination unit 36 classifies the operation state in each section into two based on the time range stored by the time range storage unit 38. The time range may be determined in advance based on, for example, a factory operation schedule, a work shift table of an operator of the production facility 200, or the like. In this example, the time range storage unit 38 stores the time range from 21:00 to 5:30 and the time range from 7:30 to 16:15 as the time range A, and sets the other time ranges to the time range. Store as B. For example, the time range A from 21:00 to 5:30 corresponds to the shift of the operator who works at night, and the time range A from 7:30 to 19:29 corresponds to the shift of the operator who works during the daytime. The other time range B corresponds to the time for replacement, takeover, and the like. The determination unit 36 classifies each operation state into two depending on whether each section belongs to the time range A or the time range B.

  For example, since the production state from 19:30 to 21:00 belongs to the time range B, it is determined as an overtime production state (OT), and the other production states belong to the time range A and are therefore determined as normal production states. The In addition, since the preparation state located approximately in the middle of 21:00 to 5:30 belongs to the time range A, it is determined as a normal preparation state. For example, the preparation state from 16:15 to 19:29 belongs to the time range B. Therefore, it is determined as an overtime preparation state (OT). Moreover, since the stop state which belongs to the time range B is considered to be the planned stop state, it is determined as the planned stop state. Moreover, when there exists the stop state which belongs to the time range A, the said stop state may be determined as an unplanned stop state (or chocolate stop state). Further, the chocolate stop state may be further discriminated into two states depending on which of the time ranges A and B belongs.

  In this way, more detailed management information of the production facility 200 can be provided by determining in more detail the operating state of the production facility 200 in each section based on a predetermined time range.

  FIG. 6 is a diagram for explaining an operation example of the accumulating unit 50. For each production facility 200, the accumulating unit 50 accumulates the time length of the section in which the determining unit 36 determines the operating state for each operating state. The accumulating unit 50 may accumulate the time length in units of night, daytime, daily, weekly, and monthly. Further, the accumulating unit 50 may calculate the average load time, the actual working rate, the setup time per operation, the operating rate, the stop rate, and the OT time total value as shown in FIG. 6 based on the accumulated time length. .

  For example, the average load time is obtained by dividing the total time during which the production facility 200 is not in an operation state of planned stop in a predetermined period by the length of the period. The actual operation rate is obtained by dividing the total time during which the production facility 200 is in the production state (normal and OT) or the preparation state (normal and OT) by the length of the period. The setup time per time is obtained by dividing the total time during which the production facility 200 is in the ready state (normal and OT) by the number of times the production facility 200 is in the ready state (normal and OT).

  Further, the operation rate is obtained by dividing the total time that the production facility 200 is in the production state (normal and OT) by the length of the period. Further, the stop rate is obtained by dividing the total time during which the production facility 200 is in the stop state or the choke stop state by the length of the period. Further, the OT time aggregation is obtained from the total time that the production facility 200 is in the production state (OT) or the preparation state (OT) during the period.

  FIG. 7 is a diagram illustrating a display example of the display unit 60. The display unit 60 displays a time series chart 62, an accumulated time graph 64, an accumulated time 66, and a power waveform 68. The display unit 60 may display the value of the production facility 200 selected by the user, or may display the average value of the plurality of production facilities 200.

  The display unit 60 displays, as the time series chart 62, the transition of the operation state for each predetermined time with respect to the time series operation state of the at least one production facility 200 determined by the state determination unit 40 so as to be identifiable. For example, the power consumption per minute of the production facility 200 may be displayed with the vertical axis representing hours and the horizontal axis representing minutes. In addition, the vertical axis and the horizontal axis of the time series chart 62 may be displayed by combining predetermined reference units such as second, minute, hour, day, week, month, and year. For example, the combination of the vertical / horizontal axis reference units of the time series chart 62 may be displayed using hour / minute, week / day, month / day, year / month, year / day, minute / second, or the like. Further, the vertical axis and the horizontal axis in the above example may be exchanged for display.

  Moreover, the display part 60 may change the display state of the power consumption in each reference | standard unit time according to the operation state of the production equipment 200 in each hour and minute. For example, the power consumption may be displayed in a different color depending on each operating state, and the frame of each reference unit time may be displayed in a different color. With such a display, it is possible to visually recognize the transition of the operating state of the production facility 200.

  The display unit 60 may display the time series charts 62 of the two production facilities 200 that are linked in parallel. Further, the display unit 60 may display the operating states of the two production facilities 200 that are linked in parallel in each reference unit time of the time series chart 62. For example, the frame of each reference unit time of the time series chart 62 may be divided into two vertically, and the operating state of each production facility 200 in the reference unit time may be displayed in each divided field.

  In addition, the display unit 60 displays the average load time, the actual work rate, and the like calculated by the accumulation unit 50 as a cumulative time graph 64 in a pie chart. The display unit 60 may display the accumulated time in each state such as the production state and the preparation state of the production facility 200 as the accumulated time graph 64. The display unit 60 may display the value of each item shown in the cumulative time graph 64 as the cumulative time 66. In addition, the display unit 60 displays a waveform with the horizontal axis representing time and the vertical axis representing power consumption as the power waveform 68. In addition, the display unit 60 in this example displays information in units of one day, but may display information in units of weeks or months.

  FIG. 8 is a diagram illustrating another example of the operation of the determination unit 36. The determination unit 36 in this example determines the operating state of each production facility 200 based on the power consumption of the production facility 200 and the power consumption of the production facility 200 of the same type as the production facility 200. The same kind of production equipment 200 is a production equipment 200 for processing the same kind of process. For example, when a plurality of production lines are provided, the production equipment 200 that performs the same processing in each line is defined as the same kind of production equipment 200. More specifically, in each line, for example, each production facility 200 that performs press processing is defined as the same type of production facility 200. The correspondence storage unit 90 in this example stores the correspondence relationship of the same type of production equipment 200 in advance.

  FIG. 8A shows an example of a time waveform of power consumption of the same type of production equipment 200. The determination unit 36 may compare time waveforms of power consumption of the same type of production equipment 200 to determine whether or not the operating state of the production equipment 200 is in an abnormal state. For example, the determination unit 36 may compare power consumption time waveforms when the same type of production equipment 200 is performing the same type of processing. At this time, the determination unit 36 may compare the feature quantity of the time waveform of power consumption. For example, average value of power consumption in time waveform, standard deviation of power consumption, maximum value of power consumption, minimum value of power consumption, dispersion of power consumption, kurtosis of peak of power consumption, period of power consumption waveform, power consumption You may compare the waveform distortion etc. of these.

  FIG. 8B is a diagram illustrating a transition example of the operating state of the same type of production facility 200 obtained from the power consumption of the same type of production facility 200. The determination unit 36 may compare the transition of the operation state of the same type of production equipment 200 to determine whether or not the operation state of the production equipment 200 is an abnormal state. For example, the determination unit 36 may compare the transition of the operation state when the same kind of production equipment 200 is performing the same kind of processing. At this time, the determination unit 36 may compare the period of transition from the first operating state to the second operating state.

  For example, the period (T1, T2) in which the production facility 200 is in a preparation state during a period during which a predetermined process is performed may be compared. The determination unit 36 may determine that the production facility 200 is in an abnormal state when the cycle is shorter than the cycle of the same type of production facility 200 by a predetermined value or more. Moreover, the determination part 36 may determine with the said production equipment 200 being in an abnormal state, when the period when it is continuously the same operating state is longer than a predetermined period. For the predetermined period, a different value may be used for each operating state. Moreover, you may use a different value for every said production equipment 200 for the said predetermined period.

  In addition, the determination unit 36 may determine that the corresponding production facility 200 is in an abnormal state when the interlocking production facility 200 is continuously in a preparation state for a longer period than the predetermined period. The predetermined period may use a different value for each production facility.

  Such processing can provide information about whether the production facility 200 is in an abnormal state. Note that the processing described with reference to FIG. 8 may be performed together with the operation state determination processing described with reference to FIGS.

  FIG. 9 is a diagram illustrating an operation example of the skill determination unit 80. The skill determination unit 80 determines the skill of the operator of the production facility 200 based on at least one of the number of times that the production facility 200 is in a predetermined operating state or the accumulated time in a predetermined period. The operator's skill is a skill such as whether the production facility 200 is operated efficiently, for example. In this example, the skill determination unit 80 determines the skill of the operator based on the number of times or the accumulated time that the production facility 200 is in the chocolate stop state in a predetermined period. In addition, the skill determination unit 80 may use a stopped state instead of the chocolate stopped state as a criterion for skill determination, or may use another state. Further, the skill determination unit 80 may use a plurality of states as a criterion for skill determination. For example, the skill determination unit 80 may use the number of times or the cumulative time when the skill determination unit 80 enters the stop state and the chocolate stop state instead of the number of times or the cumulative time when the chocolate stops state.

  FIG. 9A shows, for example, the number of times that the first production facility 200-1 is in the chocolate stop state for each stop time in each chocolate stop state between 19:30 and 7:29. It is an example. FIG.9 (b) showed the frequency | count that the 1st production equipment 200-1 became a chocolate stop state for every stop time in each chocolate stop state between 7:30 and 19:29, for example. It is an example. Here, the first production facility 200-1 processes between 19:30 and 7:29, and the first production facility 200-1 processes between 7:30 and 19:29. The process is the same. Further, the operator of the first production facility 200-1 between 19:30 and 7:29 is different from the operator of the first production facility 200-1 between 7:30 and 19:29. To do.

  The skill determination unit 80 may relatively highly evaluate the skill of the operator having a smaller number of times that the production facility 200 is in the chocolate stop state in a predetermined period. In addition, the skill determination unit 80 may relatively highly evaluate the skill of the operator who has a shorter total time during which the production facility 200 is in the chocolate stop state in a predetermined period. In the example of FIG. 9, the skill of the operator corresponding to FIG. Moreover, the skill determination part 80 may evaluate an operator's skill based on the average time until the production equipment 200 recovers from a chocolate stop state in a predetermined period. At this time, as the time until the production facility 200 recovers from the chocolate stopped state, the duration of the chocolate stopped state may be used. Further, the skill determination unit 80 may determine the skill of the operator by combining the above-described criteria.

  Further, since the planned stop state is not related to the operation of the operator and is a planned stop state, the skill determination unit 80 determines the skill of the operator by excluding the planned stop state from the stop state of the production facility 200. It's okay. In this case, in addition to the method for determining the planned stop state described with reference to FIG. 5, the skill determination unit 80 may determine a stop state whose duration is a predetermined time or more as the planned stop state. For example, a stop state having a duration of 10 minutes or more may be determined as a planned stop state.

  Moreover, the skill determination part 80 may calculate | require the average value of the frequency | count and cumulative time which became the chocolate stop state in the same period about the production equipment 200 of the same kind. And the skill determination part 80 compares at least one of the said frequency | count and accumulation time which were calculated | required about each production equipment 200, and at least one of the average value of the frequency | count which became a chocolate stop state, and the average value of accumulation time. Thus, the skill of the operator of each production facility 200 may be evaluated. Moreover, the skill determination part 80 may obtain | require the average value of the frequency | count and cumulative time which became the chocolate stop state for every period about the same production equipment 200. FIG. For example, an average value of the number of times and the accumulated time at night and the number of times and the accumulated time in the daytime may be obtained.

  By such processing, the skill of the operator can be objectively evaluated. Moreover, since the management apparatus 100 in this example can distinguish a chocolate stop state and a preparation state with high precision, it can evaluate an operator's skill with high precision.

  FIG. 10 is a diagram illustrating an example of a change with time of power consumption in the production facility 200. The state determination unit 30 may integrate the power consumption of each production facility 200 stored in the data server 20 every predetermined period, and calculate a change in power consumption based on a change in the integrated value. For example, the state determination unit 30 may calculate the power consumption per day for each production facility 200. In addition, the state determination unit 30 may calculate a change in power consumption when the production facility 200 is in a predetermined operating state. For example, the state determination unit 30 may calculate a change in power consumption when the production facility 200 is in a production state. By such processing, deterioration of each production facility 200 can be analyzed. Moreover, the state determination part 30 may obtain | require the deterioration rate of each production equipment 200 based on the differential value of the time-dependent change of power consumption. Moreover, you may extract the production equipment 200 whose deterioration speed of each production equipment 200 is more than predetermined value. The state determination unit 30 may determine whether or not the production facility 200 is operating abnormally based on the deterioration rate of the production facility 200.

  FIG. 11 is a diagram illustrating an example of the configuration of a computer 1900 that operates based on a program according to an embodiment of the present invention. The computer 1900 may function as the management apparatus 100 described with reference to FIGS. 1 to 10 or may function as the analysis apparatus 70 based on a given program. For example, the program includes the computer 1900, the data server 20, the state determination unit 30, the state storage unit 40, the accumulation unit 50, the display unit 60, the correspondence storage unit 90, and the skill determination unit 80 described with reference to FIG. May function as

  A computer 1900 according to this embodiment includes a CPU peripheral unit, an input / output unit, and a legacy input / output unit. The CPU peripheral unit includes a CPU 2000, a RAM 2020, a graphic controller 2075, and a display device 2080 that are connected to each other by a host controller 2082. The input / output unit includes a communication interface 2030, a hard disk drive 2040, and a CD-ROM drive 2060 that are connected to the host controller 2082 by the input / output controller 2084. The legacy input / output unit includes a ROM 2010, a flexible disk drive 2050, and an input / output chip 2070 connected to the input / output controller 2084.

  The host controller 2082 connects the RAM 2020 to the CPU 2000 and the graphic controller 2075 that access the RAM 2020 at a high transfer rate. The CPU 2000 operates based on programs stored in the ROM 2010 and the RAM 2020 and controls each unit. The graphic controller 2075 acquires image data generated by the CPU 2000 or the like on a frame buffer provided in the RAM 2020 and displays it on the display device 2080. Instead of this, the graphic controller 2075 may include a frame buffer for storing image data generated by the CPU 2000 or the like.

  The input / output controller 2084 connects the host controller 2082 to the communication interface 2030, the hard disk drive 2040, and the CD-ROM drive 2060, which are relatively high-speed input / output devices. The communication interface 2030 communicates with other devices via a network. The hard disk drive 2040 stores programs and data used by the CPU 2000 in the computer 1900. The CD-ROM drive 2060 reads a program or data from the CD-ROM 2095 and provides it to the hard disk drive 2040 via the RAM 2020.

  The input / output controller 2084 is connected to the ROM 2010, the flexible disk drive 2050, and the relatively low-speed input / output device of the input / output chip 2070. The ROM 2010 stores a boot program that the computer 1900 executes at startup, a program that depends on the hardware of the computer 1900, and the like. The flexible disk drive 2050 reads a program or data from the flexible disk 2090 and provides it to the hard disk drive 2040 via the RAM 2020. The input / output chip 2070 connects various input / output devices via a flexible disk drive 2050 and, for example, a parallel port, a serial port, a keyboard port, a mouse port, and the like.

  A program provided to the hard disk drive 2040 via the RAM 2020 is stored in a recording medium such as the flexible disk 2090, the CD-ROM 2095, or an IC card and provided by the user. The program is read from the recording medium, installed in the hard disk drive 2040 in the computer 1900 via the RAM 2020, and executed by the CPU 2000.

  The program is installed in the computer 1900. The program works on the CPU 2000 or the like to cause the computer 1900 to function as the management device 100 or the analysis device 70 described above.

  The program shown above may be stored in an external recording medium. As the recording medium, in addition to the flexible disk 2090 and the CD-ROM 2095, an optical recording medium such as DVD and CD, a magneto-optical recording medium such as MO, a tape medium, a semiconductor memory such as an IC card, and the like can be used. Further, a storage device such as a hard disk or a RAM provided in a server system connected to a dedicated communication network or the Internet may be used as a recording medium, and the program may be provided to the computer 1900 via the network.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

  As is clear from the above, the operating state of the production facility can be managed easily and accurately. Also, various information such as operator skills can be provided based on the management information of the operating state.

It is a figure which shows an example of a structure of the management apparatus 100 which concerns on one Embodiment of this invention. 3 is a diagram illustrating an example of a configuration of a state determination unit 30. FIG. 6 is a diagram illustrating an example of the operation of a comparison unit 32. FIG. FIG. 3A shows an example of the power consumption waveform of the first production facility 200-1 in a predetermined period, and FIG. 3B shows the power consumption waveform of the second production facility 200-2 in the period. An example is shown. FIG. 6 is a diagram illustrating an example of the operation of a state determination unit 30. An example in which the operating state of the production facility 200 is determined in more detail is shown. FIG. 6 is a diagram for explaining an operation example of an accumulating unit 50. 6 is a diagram illustrating a display example of the display unit 60. FIG. 6 is a diagram illustrating another example of the operation of the determination unit 36. FIG. FIG. 8A shows an example of a time waveform of power consumption of the same type of production facility 200, and FIG. 8B shows an operating state of the same type of production facility 200 obtained from the power consumption of the same type of production facility 200. An example of transition is shown. 5 is a diagram illustrating an operation example of a skill determination unit 80. FIG. FIG. 9A is an example in which, for example, the number of times that the first production facility 200-1 is in a stopped state between 19:30 and 7:29 is shown for each stop time in each stopped state. is there. FIG.9 (b) is the example which showed the frequency | count that the 1st production equipment 200-1 became a stop state for every stop time in each stop state, for example from 7:30 to 19:29. is there. It is a figure which shows an example of the time-dependent change of the power consumption in the production facility. It is a figure which shows an example of a structure of the computer 1900 which operate | moves based on the program which concerns on embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 ... Power consumption measurement part, 12 ... Sensor, 20 ... Data server, 30 ... State discrimination | determination part, 32 ... Comparison part, 34 ... Comparison result storage part, 36 ... Determination unit, 38 ... time range storage unit, 40 ... state storage unit, 50 ... cumulative unit, 60 ... display unit, 62 ... time series chart, 64 ... cumulative time graph, 66 ... Cumulative time, 68 ... Power waveform, 70 ... Analysis device, 80 ... Skill determination unit, 100 ... Management device, 200 ... Production equipment, 210 ... Network, 220 ... Head office server, 1900 ... Computer

Claims (16)

A management device that manages the operational status of multiple production facilities,
A power consumption measuring unit for measuring the power consumption of the production facility for each of the production facilities;
A state determination unit that determines the operating state of each production facility based on the power consumption of the production facility measured by the power consumption measurement unit and the power consumption of the other production facility corresponding to the production facility. When,
A management apparatus comprising: a state storage unit that stores the operation state of the production facility determined by the state determination unit for each of the production facilities. For each of the production facilities, further comprising a correspondence storage unit that prestores the correspondence relationship of the production equipment to be linked,
The said state discrimination | determination part discriminate | determines the operation state of each said production equipment based on the power consumption of the said production equipment, and the power consumption of the other said production equipment linked with the said production equipment. Management device. The state determination unit
A comparison unit that generates a comparison result of time-series comparison of power consumption of the production facility and a threshold value predetermined for each production facility;
In a section where the power consumption of the production facility whose operating state is to be determined is smaller than the first threshold corresponding to the production facility, the power consumption of the other production facility linked to the production facility is related to the production facility. When the comparison result larger than the second threshold value corresponding to is present, the operation state of the production facility in the section is determined as a preparation state, and the other production facility linked to the production facility in the section The management apparatus according to claim 2, further comprising: a determination unit that determines that the operation state of the production facility in the section is a chocolate stop state when there is no comparison result in which the power consumption is greater than or equal to the second threshold value. .   The management device according to claim 3, wherein the determination unit determines that a section in which power consumption of the production facility whose operation state should be determined is greater than the first threshold is a production state. The determination unit further details the operation state of each section based on whether or not each section determined as the preparation state, the chocolate stop state, and the production state belongs to a predetermined time range. To
The management apparatus according to claim 4, further comprising an accumulation unit that accumulates the time length of the section in which the determination unit determines the operation state for each production facility, for each operation state. For each of the production facilities, further comprising a correspondence storage unit that prestores the correspondence relationship of the same type of production equipment,
The management apparatus according to claim 1, wherein the state determination unit determines an operation state of each of the production facilities based on power consumption of the production facility and power consumption of the production facility of the same type as the production facility. . The power consumption measuring unit measures power consumption of the production equipment in time series,
The state determination unit compares the time waveform of the power consumption of the production facility whose operation state is to be determined with the time waveform of the power consumption of the other production facility corresponding to the production facility, and operates the production facility. The management device according to claim 5, wherein the state is determined.   The management apparatus according to claim 3, further comprising: a display unit configured to display an identifiable transition of the operation state for each predetermined time with respect to the time-series operation state of the at least one production facility determined by the state determination unit. . A management device that manages the operational status of production equipment,
A power consumption measuring unit for measuring the power consumption of the production facility;
A state determination unit that determines an operating state of the production facility based on power consumption of the production facility;
A management apparatus comprising: a skill determination unit that determines the skill of an operator of the production facility based on at least one of the number of times or the accumulated time that the production facility is in a predetermined operation state in a predetermined period. The state determination unit determines whether the production facility is in a chocolate stop state,
The management device according to claim 9, wherein the skill determination unit determines the skill of an operator of the production facility based on at least one of the number of times the production facility is in a chocolate stop state or the accumulated time. The management device manages operating states of a plurality of the production facilities,
For each of the production facilities, further comprising a correspondence storage unit that prestores the correspondence relationship of the same type of production equipment,
The power consumption measuring unit measures the power consumption of the plurality of production facilities for each of the production facilities,
The skill determination unit calculates an average value of at least one of the number of times that the chocolate facility is stopped in the period or the accumulated time for the same type of production equipment, and the number of times that each of the production facilities is in the chocolate stop state or The management apparatus according to claim 10, wherein at least one of the accumulated time is compared with an average value of at least one of the number of times or the accumulated time, and the skill of the operator of the production facility is determined. The state discriminating unit measures whether or not each of the production facilities is in a choke-stopped state by the power consumption measuring unit, the power consumption of the production facility, and the other production facilities linked to the production facility The management device according to claim 11, wherein the determination is made based on the power consumption. The state determination unit
A comparison unit that generates a comparison result of time-series comparison of power consumption of the production facility and a threshold value predetermined for each production facility;
In a section where the power consumption of the production facility whose operating state should be determined is smaller than the first threshold corresponding to the production facility, the power consumption of the production facility linked to the production facility corresponds to the linked production facility. When the comparison result is greater than the second threshold value, the operation state of the production facility in the section is determined as the preparation state, and the consumption of the other production equipment linked to the production facility in the section is determined. The management apparatus according to claim 11, further comprising: a determination unit that determines that the operation state of the production facility in the section is a chocolate stop state when there is no comparison result in which power is equal to or greater than the second threshold. An analysis device that analyzes an operating state of a plurality of production facilities based on power consumption of each of the production facilities,
A state determination unit that determines the operating state of each of the production facilities based on the power consumption of the production facility and the power consumption of the other production facility corresponding to the production facility;
An analysis apparatus comprising: a state storage unit that stores the operating state of the production facility determined by the state determination unit for each of the production facilities. A program that causes a computer to function as a management device that manages the operating state of a plurality of production facilities,
The computer,
A state determination unit that determines the operating state of each of the production facilities based on the power consumption of the production facility and the power consumption of the other production facility corresponding to the production facility;
The program which functions as a state storage part which stores the operation state of the said production equipment which the said state determination part discriminate | determined for every said production equipment. A program that causes a computer to function as a management device that manages the operating state of a production facility,
The computer,
A state determination unit that determines an operating state of the production facility based on power consumption of the production facility;
A program that functions as a skill determination unit that determines the skill of an operator of a production facility based on at least one of the number of times or the accumulated time that the production facility is in a predetermined operating state in a predetermined period.

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