JP7334490B2 - Abnormality detection device, abnormality detection method, and abnormality detection program - Google Patents

Description

TECHNICAL FIELD The present invention relates to an abnormality detection device, an abnormality detection method, and an abnormality detection program. The present invention relates to a detection method and an anomaly detection program.

The pressure booster, which increases the pressure of the fluid supplied from the upstream and supplies it to the downstream, is only introduced upstream of the high-pressure equipment on the air line, and the high-pressure equipment is used while the other parts of the air line are kept at low pressure. Therefore, it is widely used in production lines and the like.

FIG. 12 is a diagram conceptually showing this. In the example of FIG. 12, in the air line 102 in which gas is sent out at a pressure of 0.3 MPa from the compressor 101, one of the branched air lines requires a pressure higher than 0.3 MPa (in the example of FIG. 12, A device 103 that requires 0.6 MPa is installed. In this case, a pressure booster 100 is installed upstream of the equipment 103 as shown in FIG. As a result, the 0.3 MPa gas supplied from the upstream of the pressure booster 100 can be boosted to 0.6 MPa and supplied to the device 103 .

FIG. 13 is a schematic cross-sectional view of this pressure booster 100. As shown in FIG. The pressure increasing device 100 includes a pressure increasing valve 111 having a packing 110 , and the gas supplied from the upstream of the pressure increasing device 100 can be pressurized (increased) by the pressure increasing valve 111 .

Patent Literature 1 discloses a pressure regulating device including a pressure increasing valve or the like that pressurizes air by driving a sliding piston.

By the way, the packing of the sliding piston wears as it slides. As wear progresses, air leaks occur and the output pressure value decreases. A decrease in the output pressure value causes malfunction of equipment using air, and causes stoppage of operation of equipment installed downstream of the pressure booster. If the device installed downstream is a cylinder, its speed will decrease, and if the device is an air chuck, it will cause poor gripping.

Therefore, Patent Literature 1 discloses a mechanism for detecting such a decrease in the output pressure value (hereinafter referred to as an abnormality). Specifically, a pressure sensor is disclosed that detects the secondary pressure of the pressure regulator.

Further, Patent Literature 2 also discloses a technique for determining whether a pressure regulating device is operating normally. Specifically, whether or not a pressure adjustment device for adjusting the tire air pressure is operating normally is determined by comparing the tire air pressure with a predetermined abnormality determination pressure value.

FIG. 14 schematically shows these conventional abnormality determination mechanisms. In short, the conventional judging mechanism judges that the pressure value after pressure increase is normal if it is equal to or higher than a predetermined threshold value, and judges that it is abnormal if it is less than the threshold value.

Japanese Patent Application Laid-Open No. 2018-178298 (published on November 15, 2018) Japanese Patent Application Laid-Open No. 2006-209675 (published on August 10, 2006)

The conventional abnormality determination mechanism described above may not be able to appropriately detect an abnormality in the pressure booster. Specifically, there is a case where a normal one is erroneously detected as abnormal. This will be described with reference to FIG.

FIG. 15 is a graph showing time series fluctuations in pressure, with the horizontal axis representing time and the vertical axis representing pressure downstream of the pressure booster (pressure value after pressure increase). In this time-series variation, along the time axis, a period during which the equipment provided downstream of the pressure intensifier is using air and a period during which the use is stopped are provided. According to FIG. 15, when the equipment installed downstream of the pressure intensifier starts to use the pressurized air (period of air use on the horizontal axis of the graph), the pressure value of the air after pressurization decreases. Depending on the case, this may fall below the determination threshold as indicated by the arrow M in the graph of FIG. This is the same state as the air leakage shown in FIG. In short, when the amount of air used after pressure increase fluctuates, if the conventional judging mechanism based solely on the pressure value after pressure increase is used as a criterion for judgment, it will be erroneously judged as abnormal pressure increase.

An object of one aspect of the present invention is to provide an abnormality detection device for a pressure intensifier, an abnormality detection method, and an abnormality detection program capable of correctly detecting an abnormality in the pressure intensifier.

In order to solve the above problems, an abnormality detection device according to an aspect of the present invention obtains at least one of the pressure and the flow rate downstream of a pressure booster that increases the pressure of fluid supplied from upstream and supplies it downstream. and the index value of the magnitude of the pressure, the index value of the pressure fluctuation, the index value of the magnitude of the flow rate, and the index value of the fluctuation of the flow rate, which are obtained by the obtaining section. and an abnormality detection unit that detects an abnormality of the pressure booster based on the relationship between the two index values.

According to the above configuration, an abnormality in the pressure booster can be correctly detected regardless of whether fluid (air) is used downstream of the pressure booster.

Conventionally, the pressure downstream of the intensifier is measured and anomalies are determined by comparing the measurement to a threshold value. However, since the downstream pressure fluctuates according to the usage status of the fluid-using device installed downstream, the usage status of the fluid-using device affects the detection (determination) in the conventional mechanism. In contrast, according to one aspect of the present invention, an abnormality is detected based on the relationship between two index values as described above. As will be described later, according to the relationship between the two index values, even when fluid (air) is used downstream of the pressure booster, the pressure booster is normal or abnormal. can be clearly distinguished. As a result, it is possible to reduce the influence of the usage conditions of the fluid-using equipment installed downstream, and to correctly detect an abnormality in the pressure booster.

In addition, according to the above configuration, since it is possible to reduce the influence of the usage status of fluid-using equipment installed downstream and correctly detect abnormalities, it is possible to partially stop the pneumatic system used in factories and the like, Abnormalities in a pressure booster incorporated in an airline can be accurately detected without manufacturing defective products.

Further, in the abnormality detection device according to an aspect of the present invention, in the above configuration, the abnormality detection unit detects the relationship between the index value of the magnitude of the pressure and the index value of the pressure fluctuation, or the flow rate. An abnormality in the pressure booster is detected based on the relationship between the magnitude index value and the flow rate fluctuation index value.

According to the above configuration, it is possible to accurately detect an abnormality in the pressure intensifying device with a simple configuration in which the pressure sensor or the flow rate sensor is provided downstream of the pressure intensifying device.

Further, in the abnormality detection device according to an aspect of the present invention, in the above configuration, the index value of the pressure fluctuation is the frequency of the pressure fluctuation, the amplitude of the pressure fluctuation, and the dispersion of the pressure in a predetermined time. , or the standard deviation of the pressure.

Further, in the abnormality detection device according to an aspect of the present invention, in the above configuration, the index value of the flow rate fluctuation is the frequency of the flow rate fluctuation, the amplitude of the flow rate fluctuation, and the variance of the flow rate in a predetermined time. , or the standard deviation of the flow rate.

Further, in the abnormality detection device according to an aspect of the present invention, in the above configuration, the index value of the magnitude of the pressure is the average value of the pressure, the median value of the pressure, and the minimum value of the pressure for a predetermined time. , or the maximum value of said pressure.

Further, in the abnormality detection device according to one aspect of the present invention, in the above configuration, the index value of the magnitude of the flow rate is the average value of the flow rate, the median value of the flow rate, and the minimum value of the flow rate for a predetermined time. , or the maximum value of the flow rate.

Further, in order to solve the above-described problems, an abnormality detection method according to an aspect of the present invention provides at least one of the pressure and flow rate downstream of a pressure booster that increases the pressure of fluid supplied from upstream and supplies it downstream. and the index value of the magnitude of the pressure, the index value of the pressure fluctuation, the index value of the magnitude of the flow rate, and the index value of the fluctuation of the flow rate obtained by the obtaining step. and an abnormality detection step of detecting an abnormality of the pressure booster based on the relationship between the two selected index values.

According to the above configuration, an abnormality in the pressure intensifier can be correctly detected regardless of whether fluid (air) is used downstream of the pressure intensifier and regardless of the amount of fluid (air) used.

Conventionally, the pressure downstream of the intensifier is measured and anomalies are determined by comparing the measurement to a threshold value. However, since the downstream pressure fluctuates according to the usage status of the fluid-using device installed downstream, the usage status of the fluid-using device affects the detection (determination) in the conventional mechanism. In contrast, according to one aspect of the present invention, an abnormality is detected based on the relationship between two index values as described above. As a result, it is possible to reduce the influence of the usage conditions of the fluid-using equipment installed downstream, and to correctly detect an abnormality in the pressure booster.

In addition, according to the above configuration, it is possible to reduce the influence of the usage conditions of the equipment using fluid installed downstream and correctly detect an abnormality in the pressure intensifier. Abnormalities in the pressure booster incorporated in the airline can be accurately detected without stopping production or manufacturing defective products.

Further, in order to solve the above-described problems, an abnormality detection program according to an aspect of the present invention is an abnormality detection program for causing a computer to function as the abnormality detection device, wherein the acquisition unit and the abnormality detection unit It is an anomaly detection program for making a computer work.

As a result, the effects obtained by the above-described abnormality detection device can be enjoyed.

According to one aspect of the present invention, it is possible to correctly detect an abnormality in a pressure booster.

1 is a block diagram showing the configuration of an anomaly detection system having an anomaly detection device according to an embodiment of the present invention; FIG. 2 is a diagram illustrating a part of the process of abnormality detection performed by the abnormality detection system shown in FIG. 1; FIG. 2 is a diagram illustrating abnormality detection performed by the abnormality detection system shown in FIG. 1; FIG. FIG. 3 is a block diagram showing the configuration of an anomaly detection system having an anomaly detection device according to another embodiment of the present invention; 5 is a diagram illustrating a part of the process of abnormality detection performed by the abnormality detection system shown in FIG. 4; FIG. FIG. 5 is a diagram illustrating abnormality detection performed by the abnormality detection system shown in FIG. 4; FIG. 3 is a block diagram showing the configuration of an anomaly detection system having an anomaly detection device according to another embodiment of the present invention; FIG. 8 is a diagram illustrating abnormality detection performed by the abnormality detection system shown in FIG. 7; FIG. 8 is a diagram illustrating abnormality detection performed by the abnormality detection system shown in FIG. 7; FIG. 8 is a diagram illustrating abnormality detection performed by the abnormality detection system shown in FIG. 7; FIG. 8 is a diagram illustrating abnormality detection performed by the abnormality detection system shown in FIG. 7; It is a figure explaining a reference example. It is a figure explaining a reference example. It is a figure explaining a reference example. It is a figure explaining a reference example.

Hereinafter, an embodiment (hereinafter also referred to as "this embodiment") according to one aspect of the present invention will be described based on the drawings.

[Embodiment 1]
§1 Application Example An embodiment of the present invention will be described below with reference to FIGS. 1 to 3. FIG.

FIG. 1 is a block diagram showing the configuration of an abnormality detection system 10 that is an embodiment of the present invention.

The abnormality detection system 10 according to the first embodiment is a system that detects a situation in which a pressure intensifying device that increases the pressure of gas supplied from upstream and supplies it downstream does not normally increase the pressure, and detects it as an abnormality. is.

Here, in this specification, the term "abnormality" refers to a state in which the pressure of the gas supplied to the pressure booster cannot be increased to a predetermined value by the pressure booster. In short, it is an abnormality in the pressure booster. The abnormality is caused by a gas leak, a so-called air leak, and the cause is a defect in the pressure booster valve provided in the pressure booster, mainly deterioration of the packing of the sliding piston provided in the pressure booster valve ). The inventors of the present invention have focused on the problem of erroneously detecting an abnormality in spite of being normal in the conventional abnormality detection mechanism as described above. I have come to find a form. One aspect thereof will be described below.

In the abnormality detection system 10 according to the first embodiment, a data acquisition unit 31 (acquisition unit) that acquires the pressure downstream of the pressure intensifier 1 (pressure intensifier) that increases the pressure of the fluid supplied from the upstream and supplies it to the downstream and an abnormality detection unit 32 for detecting an abnormality in the pressure intensifier 1 based on the relationship between the pressure magnitude index value and the pressure fluctuation index value acquired by the data acquisition unit 31. and a control device 3 (abnormality detection device). As a result, an abnormality in the pressure intensifier 1 can be detected regardless of whether or not air is being used in equipment that uses air disposed downstream of the pressure intensifier 1 and regardless of the amount of air used.

§2 Configuration Example (1) Configuration of Abnormality Detection System As shown in FIG. detector), a monitor 4 and a downstream arrangement 5.

In the first embodiment, the side of the pressure intensifier 1 that supplies gas to the pressure intensifier 1 is referred to as the upstream side of the pressure intensifier 1 (sometimes simply referred to as upstream). The side to which the gas is supplied from the pressure intensifier 1 is referred to as the downstream side of the pressure intensifier 1 (sometimes simply referred to as downstream).

The pressure intensifier 1 can employ a conventionally well-known configuration of a pressure intensifier capable of increasing the pressure of gas (fluid) supplied from upstream and supplying it downstream. In general, upstream of the pressure intensifier 1 is connected a branch pipe connected to the most upstream compressor, and downstream of the pressure intensifier 1 is a gas pressurized by the pressure intensifier 1. (hereinafter sometimes referred to as air) is connected via piping.

In Embodiment 1, a downstream configuration 5 is provided as equipment connected downstream of the pressure intensifier 1 .

The downstream configuration 5 has an air tank 51 , a regulator 52 , an electromagnetic valve 53 , and an air using device 54 from the pressure booster 1 side. The air-using device 54 is a device that uses pressurized air, such as a cylinder or an air chuck. Incidentally, the air tank 51, the regulator 52, and the solenoid valve 53 can employ conventionally known configurations. Note that the downstream configuration 5 is not limited to these configurations, and may include at least the air using device 54 .

In the first embodiment, a pressure sensor 2 and a control device 3 are provided downstream of the pressure intensifier 1 in order to monitor whether the pressure intensifier 1 is operating properly.

The pressure sensor 2 measures the pressure of the pressurized gas supplied from the pressure intensifier 1 . The pressure sensor 2 constantly measures the pressure value while the gas is being supplied from the pressure intensifier 1 . A well-known pressure sensor can be adopted as the pressure sensor 2 . The measured pressure value (measured value) is output to the control device 3 connected to the pressure sensor 2 .

The control device 3 can be realized by a PLC (Programmable Logic Controller), for example, and has a data acquisition section 31 (acquisition section), an abnormality detection section 32 and a control section 33 .

The data acquisition unit 31 acquires pressure values output by the pressure sensor 2 .

The abnormality detection unit 32 detects an abnormality of the pressure intensifier 1 based on the pressure value acquired by the data acquisition unit 31 . A specific detection mechanism will be described later.

The abnormality detection unit 32 also outputs a signal indicating the detection result. The output signal is input to the control section 33 and the monitor 4 .

The controller 33 may control the solenoid valve 53 of the downstream structure 5 based on the output signal of the abnormality detector 32 . Specifically, for example, when an abnormality is detected, control can be performed to open or close the electromagnetic valve 53 . In addition, you may continue control as usual.

The monitor 4 displays whether or not an abnormality has been detected in the intensifier 1 based on the output signal of the abnormality detection section 32 . The user can confirm the results displayed on the monitor 4 . A conventionally well-known method can be adopted as a display method.

(2) Abnormality Detection Method An abnormality detection method performed by the abnormality detection system 10 having the above configuration will be described below. The specific operations of the pressure intensifier 1, the pressure sensor 2, the monitor 4, and the downstream structure 5 are conventionally well known, and therefore descriptions thereof will be omitted. The following description will focus on the operation of the control device 3 .

In the control device 3, the abnormality detection unit 32 obtains the relationship between the index value of the magnitude of the pressure and the index value of the pressure fluctuation based on the pressure value acquired by the data acquisition unit 31 (acquisition step). The pressure here means the pressure of the gas supplied from the pressure booster 1 , that is, the pressure downstream of the pressure booster 1 . In the following, simply referred to as pressure.

As a specific example of the index value of the magnitude of the pressure, in the first embodiment, the average value of the pressure over a predetermined period of time will be described. Further, as a specific example of the index value of the pressure fluctuation, in the first embodiment, the standard deviation of the pressure over a predetermined period of time will be described.

FIG. 2 shows the time-series variation and distribution of pressure values output from the pressure sensor 2 .

The graphs shown in (a-1) and (a-2) in FIG. 2 are data when there is no abnormality (that is, normal), and the graphs shown in (b-1) and (b-2) are , are the data when there is an abnormality. (a-1) and (b-1) in FIG. 2 respectively show time-series fluctuations, and (a-2) and (b-2) respectively show distributions. The time-series variation and distribution shown in FIG. 2 are for a period after a predetermined time has passed since the start of the pressure increasing operation of the pressure booster 1 and until the pressure increasing operation is stabilized. All of these data are obtained when no gas is used downstream. It should be noted that stabilizing the pressure increasing operation means that the pressure increasing ratio reaches the maximum pressure increasing ratio.

Comparing the time series fluctuations of pressure in the graphs (a-1) and (b-1) in FIG. 2, where the horizontal axis is time (milliseconds) and the vertical axis is pressure (kPa), the average pressure It can be seen that there is a difference in

Also, when comparing the pressure distribution (standard deviation) in the graphs (a-2) and (b-2) in FIG. It can be seen that the width of the distribution is wider when there is an abnormality than when there is no abnormality, that is, the distribution is more dispersed when there is an abnormality.

Using these data, the abnormality detection unit 32 obtains the relationship between the average value of the pressure and the standard deviation of the pressure. The results are shown in FIG.

In FIG. 3, the horizontal axis is the average value (kPa) of the pressure, and the vertical axis is the standard deviation of the pressure. are plotted with black circles, and those with abnormalities are plotted with crosses).

From FIG. 3, it can be seen that the relationship between the average value of pressure and the standard deviation of pressure in the determination interval differs between the normal case and the abnormal case. In FIG. 3, as an example, the data is taken from the time when the operation of the pressure intensifier 1 is started under the condition that the pressure upstream of the pressure intensifier 1 is 450 kPa (at this time, the pressure increase itself has not started). In the section where (average value) is low, there is no difference between the presence or absence of abnormality. Therefore, this section is excluded from the determination section, and determination is made in the determination section shown in FIG. 3, which is a period from the start of the pressure increasing operation until the pressure increasing operation stabilizes after a predetermined time has elapsed. Within this determination interval, the difference is clearly visible depending on the presence or absence of an abnormality, so determination is possible.

Here, in the normal data indicated by the black circles in FIG. 3, it can be seen that the higher the pressure average value, the smaller the pressure standard deviation. This indicates that the pressure is increased to a predetermined high pressure value due to the normal operation of the pressure booster 1 . On the other hand, in the case of abnormal data indicated by a cross, the pressure intensifier 1 does not operate normally due to an air leak, and pressure variations occur after the pressure increase, resulting in a large pressure standard deviation. ing.

In FIG. 3, normal data and an area surrounding it are specified. This range indicates a threshold value, and data within this range can be determined to be normal. In short, the normal data in FIG. 3 is an example, and can be called best mode data. Therefore, some errors can be allowed around this normal data. The allowable range is the threshold. The threshold range can be set as appropriate.

Based on the pressure values constantly acquired by the data acquisition unit 31, the abnormality detection unit 32 obtains the relationship between the average pressure value and the standard deviation of the pressure over a predetermined period of time. Determine whether or not it is included in If it is within the threshold range, it is determined to be normal, and if it is not within the threshold range, it is determined to be abnormal (abnormality detection step).

Judgment does not have to be a binary choice of whether or not there is an abnormality, and even if it is normal, it is possible to rank it as excellent or good.

A signal indicating the determination result by the abnormality detection unit 32 is output to the control unit 33 and the monitor 4 .

The control unit 33 receives a signal indicating the result of determination by the abnormality detection unit 32 and controls the electromagnetic valve 53 of the downstream configuration 5 shown in FIG.

The above is the operation of the control device 3 . Note that even when fluid (air) is used in the downstream configuration 5, it is possible to perform the aforementioned determination and correctly detect an abnormality. Moreover, it can be detected regardless of the amount of air used in the downstream structure 5 .

As described above, according to the abnormality detection system 10 (FIG. 1) of the first embodiment, based on the relationship between the two index values as described above, the influence of the usage status of the downstream equipment is reduced to correctly detect an abnormality. be able to.

Therefore, if the abnormality detection system 10 of the first embodiment is adopted, the pressure booster (increased pressure device) can be detected with high accuracy.

Further, according to the abnormality detection system 10 of the first embodiment, it is sufficient to provide one pressure sensor 2 downstream of the pressure intensifier 1, which does not require a complicated configuration, and enables accurate abnormality detection with a simple configuration. can be realized.

[Modification 1-1]
Although the average pressure value is described above as a specific example of the index value of the magnitude of the pressure, one embodiment of the present invention is not limited to this. As a specific example of the index value of the magnitude of pressure, the median value of pressure over a predetermined period of time may be employed.

Alternatively, as a specific example of the index value of the magnitude of pressure, the minimum value or maximum value of pressure in a predetermined time period may be employed. The minimum value or maximum value of pressure means the minimum value or maximum value of the waveforms shown in graphs (a-1) and (b-1) in FIG.

According to these modified examples as well, it is possible to perform highly accurate abnormality detection as in the first embodiment.

[Modification 1-2]
Further, in the above description, the standard deviation of the pressure over a predetermined period of time is described as a specific example of the index value of the pressure fluctuation, but one aspect of the present invention is not limited to this. Specific examples of the index value of pressure fluctuations may be the frequency of pressure fluctuations over a predetermined period of time, the amplitude of pressure fluctuations over a predetermined period of time, or the dispersion of pressure over a predetermined period of time.

Here, the frequency of pressure fluctuations in a predetermined time indicates the number of times pressure fluctuation waves are repeated in a predetermined time, and the waveforms shown in graphs (a-1) and (b-1) in FIG. can be obtained from the data. Also, the amplitude of the pressure fluctuation in a predetermined time indicates the difference between the minimum value and the maximum value of the pressure fluctuation wave, and can be obtained from the data (a-1) and (b-1) in FIG. can be done. Variance may also be used instead of the standard deviation of pressure over time.

According to these modified examples as well, it is possible to perform highly accurate abnormality detection as in the first embodiment.

[Embodiment 2]
Other embodiments of the invention are described below. For convenience of description, members having the same functions as those of the members described in the above embodiments are denoted by the same reference numerals, and description thereof will not be repeated.

(1) Configuration of anomaly detection system FIG. 4 is a block diagram showing the configuration of an anomaly detection system 10a according to the second embodiment.

The abnormality detection system 10a of the second embodiment differs in that it includes a flow rate sensor 6 instead of the pressure sensor 2 included in the abnormality detection system 10 of the first embodiment. Accordingly, the control device 3 provided in the abnormality detection system 10a of the second embodiment also differs in that it operates differently from the control device 3 of the first embodiment. Specific operation contents will be described later.

A flow rate sensor 6 shown in FIG. 4 measures the flow rate of the pressurized gas supplied from the pressure intensifier 1 . The flow rate sensor 6 constantly measures the flow rate while the gas is being supplied from the pressure intensifier 1 . A well-known flow sensor can be adopted as the flow sensor 6 . The measured flow rate (measurement value) is output to the control device 3 connected to the flow rate sensor 6 .

The control device 3 has a data acquisition section 31 , an abnormality detection section 32 and a control section 33 .

The data acquisition unit 31 acquires the flow rate output by the flow rate sensor 6 .

The abnormality detection section 32 detects abnormality of the pressure intensifier 1 based on the flow rate acquired by the data acquisition section 31 .

(2) Abnormality Detection Method An abnormality detection method performed by the abnormality detection system 10a having the above configuration will be described below.

In the second embodiment, the abnormality detection unit 32 of the control device 3, based on the flow rate acquired by the data acquisition unit 31 (acquisition step), compares the index value of the magnitude of the flow rate and the index value of the fluctuation of the flow rate. Seek relationships. The flow rate here means the flow rate of gas supplied from the pressure intensifier 1 , that is, the flow rate downstream of the pressure intensifier 1 . Below, it is simply referred to as flow rate.

As a specific example of the index value of the magnitude of the flow rate, in the second embodiment, the average value of the flow rate for a predetermined period of time will be described. Further, as a specific example of the index value of the fluctuation of the flow rate, in the second embodiment, the standard deviation of the flow rate at a predetermined time will be described.

FIG. 5 shows the time-series variation of the flow rate output from the flow rate sensor 6 and its distribution.

The graphs shown in (a-1) and (a-2) in FIG. 5 are data when there is no abnormality (that is, normal), and the graphs shown in (b-1) and (b-2) are , are the data when there is an abnormality. (a-1) and (b-1) in FIG. 5 respectively show time-series fluctuations, and (a-2) and (b-2) respectively show distributions. The time-series fluctuation and distribution shown in FIG. 5 are for a period after a predetermined time has passed since the start of the pressure increasing operation of the pressure intensifier 1 and until the pressure increasing operation is stabilized. All of these data are obtained when no gas is used downstream.

Comparing the time series fluctuations of the flow rate in the graphs (a-1) and (b-1) in FIG. 5, where the horizontal axis is time (ms) and the vertical axis is the flow rate (L/min) It can be seen that there is a difference in the average values.

Also, compare the flow rate distribution (standard deviation) with the graphs (a-2) and (b-2) in FIG. Then, it can be seen that the width of the distribution is wider when there is an abnormality than when there is no abnormality, that is, the distribution is more dispersed when there is an abnormality.

Using these data, the abnormality detection unit 32 obtains the relationship between the average value of the flow rate and the standard deviation of the flow rate. The results are shown in FIG.

In FIG. 6, the horizontal axis represents the average flow rate (L/min) and the vertical axis represents the standard deviation of the flow rate. Plotted with black circles when there is none, and with crosses when there is an abnormality).

From FIG. 6, it can be seen that the relationship between the average value of the flow rate and the standard deviation of the flow rate differs between the normal case and the abnormal case in the judgment interval. In FIG. 6, since data is collected from the time the pressure increase is started, there is no difference due to the presence or absence of an abnormality in the section where the average flow rate is lower than a certain section (judgment section), and similarly, the flow rate is higher than the certain section. There is no difference in the presence or absence of abnormality in the interval. This is because the input pressure is higher than the output pressure in areas where the average flow rate is high (70 L/min or more), so air does not flow back from the output side to the input side. Therefore, these sections are excluded from the judgment sections, and the judgment is performed in the judgment sections shown in FIG. Within this determination interval, the difference is clearly visible depending on the presence or absence of an abnormality, so determination is possible. This determination period corresponds to a period after a predetermined time has passed since the start of the pressure increasing operation and until the pressure increasing operation is stabilized.

In FIG. 6, normal data and an area surrounding it are specified. This range indicates a threshold value, and data within this range can be determined to be normal. In short, the normal data in FIG. 6 is an example, and can be called best mode data. Therefore, some errors can be allowed around this normal data. The allowable range is the threshold. The threshold range can be set as appropriate.

Based on the flow rate constantly acquired by the data acquisition section 31, the abnormality detection unit 32 obtains the relationship between the average value of the flow rate and the standard deviation of the flow rate for a predetermined period of time. Determine whether or not it is included. If it is within the threshold range, it is determined to be normal, and if it is not within the threshold range, it is determined to be abnormal (abnormality detection step).

Judgment does not have to be a binary choice of whether or not there is an abnormality, and even if it is normal, it is possible to rank it as excellent or good.

A signal indicating the determination result by the abnormality detection unit 32 is output to the control unit 33 and the monitor 4 .

The above is the operation of the control device 3 . As in Embodiment 1, even in the mode of Embodiment 2, regardless of whether or not fluid (air) is used in the downstream structure 5, and the amount of air used in the downstream structure 5 does not matter. Therefore, it is possible to correctly detect an abnormality by performing the determination described above.

As described above, according to the abnormality detection system 10a (FIG. 4) of the second embodiment, based on the relationship between the two index values as described above, the influence of the usage status of the downstream equipment is reduced and the abnormality is correctly detected. be able to.

Therefore, if the abnormality detection system 10a of the second embodiment is adopted, there is no need to partially stop the pneumatic system used in the factory or the like, or to manufacture defective products. pressure device) can be detected with high accuracy.

Further, according to the abnormality detection system 10a of the second embodiment, it is sufficient to provide one flow rate sensor 6 downstream of the pressure intensifier 1, which does not require a complicated configuration and enables accurate abnormality detection with a simple configuration. can be realized.

[Modification 2-1]
Although the average value of the flow rate is described above as a specific example of the index value of the magnitude of the flow rate, one aspect of the present invention is not limited to this. As a specific example of the index value of the magnitude of the flow rate, the median value of the flow rate (at a given time) may be employed.

Alternatively, as a specific example of the index value of the magnitude of the flow rate, the minimum value or maximum value of the flow rate (at a predetermined time) may be employed. The minimum or maximum value of the flow rate is the minimum or maximum value of the waveforms shown in graphs (a-1) and (b-1) in FIG.

With these modified examples, it is possible to perform highly accurate abnormality detection as in the second embodiment described above.

[Modification 2-2]
Further, in the above description, the standard deviation of the flow rate (in a predetermined period of time) is described as a specific example of the index value of the fluctuation of the flow rate, but one aspect of the present invention is not limited to this. Specific examples of the index value of flow rate fluctuations may be the frequency of flow rate fluctuations (in a given period of time), the amplitude of flow rate fluctuations (in a given period of time), or the variance of flow rate (in a given period of time).

Here, it is also possible to use the number of times the flow rate fluctuation wave is repeated in a predetermined time instead of the frequency of the flow rate fluctuation in the predetermined time. can be obtained from the waveform data shown in the graph of In addition, the amplitude of the flow rate fluctuation in a predetermined time indicates the difference between the minimum value and the maximum value of the flow rate fluctuation wave, and can be obtained from the data (a-1) and (b-1) in FIG. can be done. Also, the variance may be used instead of the standard deviation of the flow rate over a given period of time.

With these modified examples, it is possible to perform highly accurate abnormality detection as in the second embodiment described above.

[Embodiment 3]
Other embodiments of the invention are described below. For convenience of description, members having the same functions as those of the members described in the above embodiments are denoted by the same reference numerals, and description thereof will not be repeated.

(1) Configuration of anomaly detection system FIG. 7 is a block diagram showing the configuration of an anomaly detection system 10b according to the third embodiment.

The abnormality detection system 10b of the third embodiment differs in that it includes a flow rate sensor 6 in addition to the pressure sensor 2 included in the abnormality detection system 10 of the first embodiment. Further, along with this, the control device 3 provided in the abnormality detection system 10b of the third embodiment also differs in that it operates differently from the control device 3 of the first embodiment. Specific operation contents will be described later.

The flow sensor 6 is the same as the flow sensor 6 provided in the second embodiment.

The control device 3 has a data acquisition section 31 , an abnormality detection section 32 and a control section 33 .

The data acquisition unit 31 acquires the pressure value output by the pressure sensor 2 and the flow rate output by the flow sensor 6 .

The abnormality detection unit 32 detects an abnormality of the pressure intensifier 1 based on the pressure value and the flow rate acquired by the data acquisition unit 31 (acquisition step).

(2) Abnormality detection method An abnormality detection method performed by the abnormality detection system 10b having the above-described configuration will be described below. and the index value of the magnitude of the flow rate described in the second embodiment to detect an abnormality. Therefore, since the details are described in each embodiment, the description in the third embodiment is omitted.

In the third embodiment, a specific example of the index value of the magnitude of the pressure is the average value of the pressure over a predetermined period of time, and a specific example of the index value of the magnitude of the flow rate is the average value of the flow rate over a predetermined period of time. , to detect anomalies based on these relationships.

FIG. 8 shows the results obtained by the abnormality detection unit 32. FIG.

In FIG. 8, the horizontal axis is the average value of pressure (kPa), and the vertical axis is the average value of flow rate (L/min). (Plotted with black circles when there is no abnormality, and with crosses when there is an abnormality).

From FIG. 8, it can be seen that there is a difference in the relationship between the average pressure value and the average flow rate in the judgment interval between the normal case and the abnormal case. In FIG. 8, as an example, the data is taken from the time when the operation of the pressure intensifier 1 is started under the condition that the pressure upstream of the pressure intensifier 1 is 450 kPa (at this time, the pressure increase itself has not started). In the section where (average value) is low, there is no difference between the presence or absence of abnormality. Therefore, this section is excluded from the determination section, and the determination is performed in the determination section shown in FIG. 8, which is a period from the start of the pressure increasing operation until the pressure increasing operation stabilizes after a predetermined time has elapsed. Within this determination interval, the difference is clearly visible depending on the presence or absence of an abnormality, so determination is possible.

In FIG. 8, normal data and an area surrounding it are specified. This range indicates a threshold value, and data within this range can be determined to be normal. In short, the normal data in FIG. 8 is an example, and can be called best mode data. Therefore, some errors can be allowed around this normal data. The allowable range is the threshold. The threshold range can be set as appropriate.

The abnormality detection unit 32 obtains the relationship between the average value of the pressure and the average value of the flow rate in a predetermined time period based on the pressure value and the flow rate that are constantly acquired by the data acquisition unit 31, and the data is used as the threshold value. It is determined whether or not it is included in the range of If it is within the threshold range, it is determined to be normal, and if it is not within the threshold range, it is determined to be abnormal (abnormality detection step).

A signal indicating the determination result by the abnormality detection unit 32 is output to the control unit 33 and the monitor 4 .

The above is the operation of the control device 3 . As in Embodiments 1 and 2, even in the aspect of Embodiment 3, regardless of whether or not fluid (air) is used in the downstream configuration 5, The above determination can be made regardless of the usage amount.

As described above, according to the abnormality detection system 10b (FIG. 7) of the third embodiment, based on the relationship between the two index values as described above, the influence of the usage status of the downstream equipment is reduced to correctly detect an abnormality. be able to.

Therefore, if the abnormality detection system 10b of the third embodiment is adopted, there is no need to partially stop the pneumatic system used in the factory or the like, or to manufacture defective products. pressure device) can be detected with high accuracy.

Note that the average value of the pressure is an example of the index value of the magnitude of the pressure, and other index values of the magnitude of the pressure (the median value, the minimum value, or the maximum value of the pressure) described in the first embodiment. ) may be substituted. Similarly, the average value of the flow rate is an example of the index value of the magnitude of the flow rate. ) may be substituted.

[Modification 3-1]
In the above description, a mode of detecting an abnormality based on the relationship between the index value of the magnitude of the pressure and the index value of the magnitude of the flow rate has been described. However, one aspect of the present invention is not limited to this.

That is, one aspect of the present invention may be configured to detect an abnormality based on the relationship between the index value of the magnitude of the pressure and the index value of the fluctuation of the flow rate.

FIG. 9 shows the relationship between the average pressure value (kPa), which is an example of the index value of the magnitude of the pressure, and the standard deviation of the flow, which is an example of the index value of the fluctuation of the flow rate. In FIG. 9, the horizontal axis represents the average pressure value (kPa), and the vertical axis represents the standard deviation of the flow rate. plotted with cross marks when there is an abnormality).

From FIG. 9, it can be seen that the relationship between the average pressure value and the standard deviation of the flow rate differs between the normal case and the abnormal case in the determination interval.

In FIG. 9, normal data and an area surrounding it are specified. This range indicates a threshold value, and data within this range can be determined to be normal. In short, the normal data in FIG. 9 is an example, and can be called best mode data. Therefore, some errors can be allowed around this normal data. The allowable range is the threshold. The threshold range can be set as appropriate.

The abnormality detection unit 32 obtains the relationship between the average pressure value and the standard deviation of the flow rate for a predetermined time based on the pressure value and the flow rate constantly acquired by the data acquisition unit 31, and the data is within the above-described allowable range. Determine whether or not it is included in

According to this modified example as well, it is possible to perform highly accurate abnormality detection as in the above-described third embodiment.

Note that the average value of the pressure is an example of the index value of the magnitude of the pressure, and other index values of the magnitude of the pressure (the median value, the minimum value, or the maximum value of the pressure) described in the first embodiment. ) may be substituted. Similarly, the standard deviation of the flow rate is an example of the index value of the flow rate fluctuation, and the other index values of the flow rate fluctuation described in the second embodiment (the frequency of the flow rate fluctuation, the amplitude of the flow rate fluctuation, Alternatively, it goes without saying that the distribution of the flow rate) may be substituted.

[Modification 3-2]
In the third embodiment described above, a mode of detecting an abnormality based on the relationship between the index value of the magnitude of the pressure and the index value of the magnitude of the flow rate has been described. However, one aspect of the present invention is not limited to this.

That is, one aspect of the present invention may be configured to detect an abnormality based on a relationship between an index value of pressure fluctuation and an index value of flow rate.

FIG. 10 shows the relationship between the standard deviation of pressure, which is an example of the index value of pressure fluctuation, and the average flow value (L/min), which is an example of the index value of the magnitude of the flow rate. In FIG. 10, the horizontal axis represents the standard deviation of the pressure, and the vertical axis represents the average value of the flow rate (L/min). Plotted with black circles when there is a case, and with crosses when there is an abnormality).

From FIG. 10, it can be seen that the relationship between the standard deviation of the pressure and the average value of the flow rate differs between the normal case and the abnormal case in the judgment interval.

In FIG. 10, normal data and an area surrounding it are specified. This range indicates a threshold value, and data within this range can be determined to be normal. In short, the normal data in FIG. 10 is an example, and can be called best mode data. Therefore, some errors can be allowed around this normal data. The allowable range is the threshold. The threshold range can be set as appropriate.

Based on the pressure values and flow rates constantly acquired by the data acquisition section 31, the abnormality detection section 32 obtains the relationship between the standard deviation of the pressure in a predetermined time period and the average flow rate. Determine whether it is included in the range.

According to this modified example as well, it is possible to perform highly accurate abnormality detection as in the above-described third embodiment.

Note that the standard deviation of the pressure is an example of the index value of the pressure fluctuation, and other index values of the pressure fluctuation (the frequency of the pressure fluctuation, the amplitude of the pressure fluctuation, Alternatively, pressure dispersion) may be substituted. Similarly, the average value of the flow rate is an example of the index value of the magnitude of the flow rate. ) may be substituted.

[Modification 3-3]
In the third embodiment described above, a mode of detecting an abnormality based on the relationship between the index value of the magnitude of the pressure and the index value of the magnitude of the flow rate has been described. However, one aspect of the present invention is not limited to this.

That is, one aspect of the present invention may be configured to detect an abnormality based on a relationship between an index value of pressure fluctuation and an index value of flow rate fluctuation.

FIG. 11 shows the relationship between the standard deviation of pressure, which is an example of an index value of pressure fluctuation, and the standard deviation of flow, which is an example of an index value of fluctuation of flow rate. In FIG. 11, the horizontal axis represents the standard deviation of the pressure, and the vertical axis represents the standard deviation of the flow rate. Plot with a cross when there is an abnormality).

From FIG. 11, it can be seen that the relationship between the standard deviation of the pressure and the standard deviation of the flow rate differs between the normal case and the abnormal case in the judgment interval.

In FIG. 11, normal data and an area surrounding it are specified. This range indicates a threshold value, and data within this range can be determined to be normal. In short, the normal data in FIG. 11 is an example, and can be called best mode data. Therefore, there is an allowable range for some errors centering on this normal data. The allowable range is the threshold. The threshold range can be set as appropriate.

The abnormality detection unit 32 obtains the relationship between the standard deviation of the pressure and the standard deviation of the flow rate at a predetermined time based on the pressure value and the flow rate constantly acquired by the data acquisition unit 31, Determine whether it is included in the range.

According to this modified example as well, it is possible to perform highly accurate abnormality detection as in the above-described third embodiment.

Note that the standard deviation of the pressure is an example of the index value of the pressure fluctuation, and other index values of the pressure fluctuation (the frequency of the pressure fluctuation, the amplitude of the pressure fluctuation, Alternatively, pressure dispersion) may be substituted. Similarly, the standard deviation of the flow rate is an example of the index value of the flow rate fluctuation, and the other index values of the flow rate fluctuation described in the second embodiment (the frequency of the flow rate fluctuation, the amplitude of the flow rate fluctuation, Alternatively, it goes without saying that the distribution of the flow rate) may be substituted.

[Example of realization by software]
The data acquisition unit 31, the abnormality detection unit 32, and the control unit 33 of the control device 3 may be implemented by a logic circuit (hardware) formed in an integrated circuit (IC chip) or the like, or may be implemented by software. good.

In the latter case, the control device 3 has a computer that executes instructions of a program (abnormality detection program) that is software that implements each function. This computer includes, for example, one or more processors, and a computer-readable recording medium storing the program. In the computer, the processor reads the program from the recording medium and executes it, thereby achieving the object of the present invention. As the processor, for example, a CPU (Central Processing Unit) can be used. As the recording medium, a "non-temporary tangible medium" such as a ROM (Read Only Memory), a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. In addition, a RAM (Random Access Memory) for developing the above program may be further provided. Also, the program may be supplied to the computer via any transmission medium (communication network, broadcast wave, etc.) capable of transmitting the program. Note that one aspect of the present invention can also be implemented in the form of a data signal embedded in a carrier wave in which the program is embodied by electronic transmission.

One aspect of the present invention is not limited to each embodiment and each modification described above, and various modifications are possible within the scope indicated in the claims, and techniques disclosed in different embodiments and modifications Embodiments obtained by appropriately combining technical means are also included in the technical scope of the present invention.

1 pressure booster (pressure booster)
2 pressure sensor 3 control device (abnormality detection device)
4 monitor 5 downstream configuration 6 flow rate sensors 10, 10a, 10b abnormality detection system 31 data acquisition unit (acquisition unit)
32 Abnormality detection unit 33 Control unit 51 Air tank 52 Regulator 53 Solenoid valve 54 Equipment using air

Claims (8)

an obtaining unit that obtains at least one of the pressure and flow rate downstream of the pressure booster that increases the pressure of the fluid supplied from upstream and supplies it downstream;
Two index values selected from the index value of the magnitude of the pressure, the index value of the pressure fluctuation, the index value of the magnitude of the flow rate, and the index value of the fluctuation of the flow rate, which are obtained by the obtaining unit. and an abnormality detection unit that detects an abnormality of the fluid leakage in the pressure booster based on the relationship of . Based on the relationship between the index value of the magnitude of the pressure and the index value of the fluctuation of the pressure, or the relationship between the index value of the magnitude of the flow rate and the index value of the fluctuation of the flow rate. 2. The abnormality detection device according to claim 1, which detects abnormality of said pressure booster. 3. The pressure fluctuation index value according to claim 1 or 2, wherein the pressure fluctuation index value is the frequency of the pressure fluctuation, the amplitude of the pressure fluctuation, the variance of the pressure, or the standard deviation of the pressure at a predetermined time. Anomaly detector. 4. Any one of claims 1 to 3, wherein the index value of the flow rate fluctuation is the frequency of the flow rate fluctuation, the amplitude of the flow rate fluctuation, the variance of the flow rate, or the standard deviation of the flow rate at a predetermined time. 1. The abnormality detection device according to item 1. 5. Any one of claims 1 to 4, wherein the index value of the magnitude of the pressure is an average value of the pressure, a median value of the pressure, a minimum value of the pressure, or a maximum value of the pressure at a predetermined time. 1. The abnormality detection device according to item 1. 6. Any one of claims 1 to 5, wherein the index value of the magnitude of the flow rate is an average value of the flow rate, a median value of the flow rate, a minimum value of the flow rate, or a maximum value of the flow rate at a predetermined time. 1. The abnormality detection device according to item 1. an acquiring step of acquiring at least one of the pressure and the flow rate downstream of a pressure booster that increases the pressure of a fluid supplied from upstream and supplies it downstream;
Two index values selected from the pressure magnitude index value, the pressure fluctuation index value, the flow rate magnitude index value, and the flow rate fluctuation index value obtained by the obtaining step. and an abnormality detection step of detecting an abnormality of the fluid leakage in the pressure booster based on the relationship of . An abnormality detection program for causing a computer to function as the abnormality detection device according to claim 1,
An anomaly detection program for causing a computer to function as the acquisition unit and the anomaly detection unit.

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