JP6879013B2 - Analytical instruments, analytical systems, analytical methods and programs - Google Patents

Description

The present invention relates to analyzers, analytical systems, analytical methods and programs.

If the pipes that make up the water and sewage network are damaged due to deterioration, great social impact and economic loss may occur. Therefore, various methods for analyzing the deterioration state of piping have been proposed.

Patent Document 1 describes an analyzer that analyzes the state of the pipe based on the detection result of the second detection unit that detects the vibration of the pipe.

Patent Document 2 describes that the leak position is specified by the relationship between the vibration amplitude indicated by the first feature value acquired by the detection unit and the distance and amplitude from the leak position.

In Patent Document 3, a device that records the waveform of a sound wave emitted from the same speaker at two points and determines that a gas leak is obtained when the time Δt required for the sound wave to travel the distance L between the two points becomes short. Are listed.

Patent Document 4 describes a data generation method for pipe network analysis that automatically searches for water distribution station nodes and the like required according to the analysis content by forming the pipe network into a multidimensional network consisting of an nth-order network. Has been done.

Patent Document 5 describes a deterioration diagnosis method for identifying the position of a defect by measuring a change in voltage with an ultrasonic sensor attached to a lining processing pipe.

Japanese Unexamined Patent Publication No. 2016-057241 JP 2015-190824 Japanese Unexamined Patent Publication No. 2013-253836 Japanese Unexamined Patent Publication No. 2013-054758 JP-A-2009-156820

In order to analyze the state of the pipe, it is necessary to use the physical quantity propagated through the pipe to be analyzed. However, when there are two or more physical quantity propagation paths between the sensors, the physical quantity propagated through the piping that is not the subject of analysis may also be detected by the sensor, and the state of the piping that is the subject of analysis should be analyzed accurately. There was a problem that it could not be done.

The present invention has been made to solve the above problems, and provides an analyzer capable of accurately analyzing the state of a pipe to be analyzed even when there are two or more propagation paths of physical quantities. The purpose is to do.

The first device of the present invention detects the first physical quantity data generated by the first detection unit that detects the physical quantity propagating in the pipe or the fluid flowing through the pipe, and the physical quantity at a point different from the first detection unit. The acquisition unit that acquires the second physical quantity data generated by the second physical quantity data, and the second peak included in the second physical quantity data, which is the first peak included in the first physical quantity data and a predetermined time. When it is determined that there is a determination unit that determines whether or not there is the second peak that is related and the second peak that has a predetermined time relationship with the first peak, the first peak or the second peak is determined. It includes an extraction unit that extracts physical quantity data including at least one of the smaller peaks, and an analysis unit that analyzes the state of the pipe based on the physical quantity data extracted by the extraction unit.

According to the present invention, it is possible to provide an analyzer capable of accurately analyzing the state of a pipe to be analyzed even when there are two or more propagation paths of physical quantities.

It is a figure which shows the structural example of the analyzer 1000. It is a figure which shows the configuration example of the analysis system 10. It is a figure which shows the configuration example of hardware. It is a figure which shows an example of a water supply pipe network. It is a figure which shows an example of the vibration data extracted by the acquisition part 110. It is a figure which shows the operation example of the sensor unit 11. It is a figure which shows the operation example of the sensor unit 11. It is a figure which shows an example of the operation of the analyzer 100. It is a figure which shows an example of the cross-correlation. It is a figure which shows the structural example of the analyzer 101. It is a figure which shows an example of the operation of the analyzer 101. It is a figure which shows the structural example of the analyzer 102. It is a figure which shows an example of a water supply pipe network. It is a figure which shows an example of the vibration data extracted by the acquisition part 110. It is a figure which shows an example of the operation of the analyzer 102.

(First Embodiment)
First, the first embodiment of the present invention will be described. FIG. 1 is a diagram showing an analyzer 1000 according to the first embodiment of the present invention. As shown in FIG. 1, the analyzer 1000 according to the first embodiment of the present invention includes an acquisition unit 110, a determination unit 120, an extraction unit 130, and an analysis unit 140.
The acquisition unit 110 includes the first physical quantity data generated by the first detection unit that detects the physical quantity propagating in the pipe or the fluid flowing through the pipe, and the second detection unit that detects the physical quantity at a point different from the first detection unit. Acquire the generated second physical quantity data. The determination unit 120 determines whether or not there is a second peak included in the second physical quantity data and having a predetermined time relationship with the first peak included in the first physical quantity data. When it is determined that there is a second peak having a predetermined time relationship with the first peak, the extraction unit 130 extracts physical quantity data including at least one of the first peak and the second peak, whichever is smaller. The analysis unit 140 analyzes the state of the pipe based on the physical quantity data extracted by the extraction unit.

A physical quantity propagating in a pipe has a predetermined propagating velocity. The predetermined propagation velocity can be estimated in advance from experimental values and theoretical values. Then, when the physical quantities detected at a certain location propagate through the pipe and are detected again at another location, the time relationship in which these physical quantities are detected can be estimated in advance. The analyzer 100 of the first embodiment extracts the physical quantity data when it is determined that there is a second peak having a predetermined time relationship with the first peak, so that the physical quantity data propagated through the pipe to be analyzed. Can be selectively extracted. As a result, the analyzer 100 of the first embodiment can accurately analyze the state of the pipe to be analyzed even when there are two or more propagation paths of physical quantities.

A specific example of the first embodiment will be described below. FIG. 2 is a diagram showing a configuration of an analysis system 10 including an analysis device 100, which is a specific example of the analysis device 1000. In the example shown in FIG. 2, each component of the analysis system 10 is shown as a block of functional units. A part or all of each component of the analysis system 10 is realized by an arbitrary combination of hardware such as an information processing device and a program. The analysis system 10 includes an analysis device 100 and a sensor unit 11. The sensor unit 11 detects a physical quantity propagating in a pipe or a fluid flowing inside the pipe (hereinafter, may be referred to as a pipe or the like). The physical quantity detected by each of the sensor units 11 is transmitted to the analyzer 100 via a communication network or the like. The analyzer 100 performs the above-mentioned determination and analysis using the physical quantity detected by the sensor unit 11.

FIG. 2 shows an example in which the analysis system 10 includes N sensor units 11 of sensor units 11-1 to 11-N. The number of sensor units 11 included in the analysis system 10 is not particularly limited. The number of sensor units 11 is appropriately determined according to the piping configuration and other factors.

The analysis system 10 analyzes pipes constituting a water pipe network such as water supply and sewerage. FIG. 4 shows an example in which the analysis system 10 analyzes the pipes constituting the water pipe network. The water pipe network 500 shown in FIG. 4 is composed of a plurality of pipes 501. In the example shown in FIG. 4, the sensor units 11-1 to 11-4 are attached to the fire hydrants existing at the intersections of the pipes 501, respectively. The water pipe network 500 may be provided with other necessary equipment.
The analysis system 10 detects the vibration generated in the pipe 501 or the fire hydrant provided in the pipe 501, and analyzes the state of the pipe based on the detected vibration. For example, the analysis system 10 detects the vibration generated in the pipe 501 or the fire hydrant provided in the pipe 501 due to an external factor of the water pipe network 500, and analyzes the state of the pipe based on the detected vibration. The vibration generated by an external factor of the water pipe network 500 includes the vibration generated when the vehicle passes in the vicinity of the sensor unit 11 and the place where the fire hydrant is provided.

Further, the analysis system 10 may detect the vibration generated by vibrating the pipe 501 or the fire hydrant and analyze the state of the pipe based on the detected vibration. In this case, the impact excitation to the pipe 501 may be performed by hitting the pipe 501 or the fire hydrant with a hammer or the like. Alternatively, the pipe 501 or the fire hydrant may be vibrated by generating vibration such as white noise using a vibrator. When the pipe 501 or the like is vibrated, the vibrating portion is not particularly limited and may be determined according to the positional relationship with the sensor unit 11.

A physical quantity such as vibration may propagate through a plurality of paths of the pipe and reach each of the sensor units 11. For example, the vibration generated by the vehicle passing in the vicinity of the sensor unit 11-1 is between the sensor unit 11-1 and the sensor unit 11-2 as shown in the “path 1” of FIG. It propagates to the sensor unit 11-2 via the pipe. Further, the vibration generated by the vehicle passing in the vicinity of the sensor unit 11-1 is further increased by the sensor unit 11-1, the sensor unit 11-3, and the sensor, as shown in the “path 2” of FIG. It may propagate to the sensor unit 11-2 via the piping between the unit 11-4 and the sensor unit 11-2.

Therefore, in order to accurately analyze the state of the piping between the sensor unit 11-1 and the sensor unit 11-2, the analysis system 10 selectively extracts physical quantities such as vibrations propagating in the path 1. , Need to be analyzed.

In the present embodiment, the physical quantity is an amount that may change depending on the state of the pipe. That is, the physical quantity makes it possible to analyze the state of the pipe. The physical quantity is, for example, a vibration propagating in a pipe or the like. Further, the physical quantity may be the pressure of a fluid flowing inside the pipe, such as water pressure. As the physical quantity, another index different from vibration or pressure may be used. In the following description, it is assumed that the physical quantity is vibration.

The sensor unit 11 in this embodiment will be described. Each of the sensor units 11 includes, for example, a control unit 1110 and a detection unit 1111. The control unit 1110 controls the operation of the sensor unit 11. The detection unit 1111 detects the above-mentioned physical quantity.

In the present embodiment, it is assumed that the sensor unit 11 has two operating states, an operating state and a dormant state. The operating state is a state in which the sensor unit 11 can detect the physical quantity described above and transmit the detected physical quantity. The dormant state is a state in which the detection of the physical quantity and the transmission of the detected physical quantity are stopped. When the sensor unit 11 is in the dormant state, it is assumed that the power consumption is smaller than that in the operating state.

In the sensor unit 11, these two states are switched according to a predetermined sleep schedule or the like. The dormant schedule is information indicating a schedule for switching between the operating state and the dormant state of the sensor unit 11.

The dormancy schedule may be information indicating a time zone in which the sensor unit 11 is in an operating state or a dormant state, or may be information indicating an interval for switching between the operating state and the dormant state. Further, the same dormancy schedule may be assigned to all the sensor units 11, or different dormancy schedules may be assigned to each sensor unit 11. The dormancy schedule may include a schedule for transmitting the physical quantity data detected by the sensor unit 11 to the analyzer 100.

Further, each of the sensor units 11 may be provided with a mechanism for measuring the time. Further, it is assumed that the time represented by the time measuring mechanism can be synchronized between each of the plurality of sensor units 11. In the following description, the time represented by the mechanism for measuring the time included in the sensor unit 11 may be referred to as "time of the sensor unit 11" or the like. Further, synchronizing the time represented by the mechanism for measuring the time may be simply called "time synchronization" or the like.

The time synchronization indicates that the time indicated by the mechanism for measuring the time provided in each of the plurality of sensor units 11 is aligned. That is, by time synchronization, the time difference indicated by the time measuring mechanism provided in each of the plurality of sensor units 11 is adjusted so as to be included in a predetermined range. In this case, the predetermined range is determined according to, for example, the accuracy required when calculating the propagation speed of vibration, which will be described later.

Subsequently, the analyzer 100 in the present embodiment will be described. In the following description, it is assumed that the pipe 501 between the sensor units 11-1 and 11-2 is the pipe to be analyzed. Further, it is assumed that the physical quantity data generated by the sensor units 11-1 and 11-2 is vibration data.

The acquisition unit 110 uses the sensor unit 11 for the first vibration data generated by the detection unit 1111-1 that detects the vibration propagating in the pipe 501 or the fluid flowing through the pipe 501 (hereinafter, may be referred to as the pipe 501 or the like). Obtain from -1. Further, the acquisition unit 110 acquires the second vibration data generated by the detection unit 1111-2 that detects the vibration propagating in the pipe 501 or the like at a point different from the first detection unit from the sensor unit 11-2. The acquisition unit 110 may acquire the first vibration data from the sensor unit 11-1 via the communication unit 1118. Similarly, the acquisition unit 110 may acquire the second vibration data from the sensor unit 11-2 via the communication unit 1118. Alternatively, the income unit 110 may acquire the first vibration data and the second vibration data previously transmitted from the sensor unit 11-1 and the sensor unit 11-2 and stored in the storage unit of the analyzer 100.

Further, the acquisition unit 110 extracts vibration data for a predetermined period from each of the first vibration data and the second vibration data. It is preferable that the acquisition unit 110 extracts vibration data for a predetermined period for each of the first vibration data and the second vibration data.
For example, the acquisition unit 110 extracts the vibration data detected from 10:00 am to 10:01 am on April 1, 2017 from each of the first vibration data and the second vibration data. The predetermined period is not limited to this, and the system user can set an arbitrary period. Further, the predetermined period may be any period such as 10 minutes, 30 minutes, 1 hour and the like. In order for the acquisition unit 110 to grasp the time when the first vibration data and the second vibration data are detected, each vibration data is associated with the time of the sensor unit 11-1 or the time of the sensor unit 11-2. Is preferable. When the first vibration data and the second vibration data consist of data detected in a predetermined period from the beginning, the acquisition unit 110 may omit the above-mentioned extraction step.

FIG. 5 shows an example of vibration data extracted by the acquisition unit 110. FIG. 5A shows vibration data for a predetermined period extracted from the first vibration data. Further, FIG. 5B shows vibration data for a predetermined period extracted from the second vibration data. The vibrations detected by the sensor units 11-1 and 11-2 are different from each other because they include noise and the like that are different from the vibrations generated by the vibration. In the example shown in FIG. 5, the vibration level is an index indicating the magnitude of vibration such as amplitude. As the vibration level, the acceleration of vibration, the power spectral density of vibration, or the like may be used. Further, in the examples of FIGS. 5A and 5B, the horizontal axis indicates the same time.

The acquisition unit 110 further searches for a peak exceeding the threshold value a for each of the extracted vibration data. Here, the threshold value a is an approximate vibration level detected when a vibration source exists in the vicinity of the sensor unit that generated the data to be searched for the peak. Therefore, when a peak exceeding the threshold value a is specified, it is presumed that the vibration source exists in the vicinity of the sensor unit that detected the peak. In FIG. 5, the first peak shown in FIG. 5 (A) is specified as a peak exceeding the threshold value a. That is, the first peak is derived from the vibration generated by the vibration source existing in the vicinity of the sensor unit 11-1.

Next, the acquisition unit 110 searches for the vibration data of the sensor unit that did not detect the peak exceeding the threshold value a, from the vibration data detected after the peak exceeding the threshold value a, the peak exceeding the threshold value b. The threshold value b is an approximate value when the vibration generated by the vibration source existing in the vicinity of either one of the sensor units 11-1 and 11-2 propagates through the pipe to be analyzed and is detected by the other sensor unit. Vibration level. In FIG. 5, the second peak-1 and the second peak-2 shown in FIG. 5B are peaks exceeding the threshold value b. Of these, the second peak-2 is detected after the first peak, so the acquisition unit 110 identifies the second peak-2.

The speed calculation unit 150 is based on the time when the first peak is detected, the time when the second peak-2 is detected, and the pipe length between the sensor unit 11-1 and the sensor unit 11-2. , Calculate the propagation velocity of vibration. The vibration propagation velocity is the propagation velocity of the vibration assuming that the first peak and the second peak-2 are derived from the same vibration propagated through the pipe or the like to be analyzed. Here, it is assumed that the time when the first peak is detected is t1 and the time when the second peak-2 is detected is t2. Further, it is assumed that the pipe length between the sensor unit 11-1 and the sensor unit 11-2 is L. The velocity calculation unit 150 can calculate the vibration propagation velocity V by solving the equation L / (t2-t1), for example.

The determination unit 120 determines that there is a second peak having a predetermined time relationship with the first peak when the propagation speed calculated by the speed calculation unit 150 is within a predetermined range. The predetermined range is the range of the propagation speed that the vibration propagating in the pipe or the like to be analyzed can usually take. The predetermined range may be determined based on conditions that affect the propagation speed of vibration, such as the material, diameter, and wall thickness of the pipe to be analyzed. For example, the determination unit 120 may read a predetermined condition stored in association with the material, diameter, wall thickness, etc. of the pipe 510 to be analyzed from the storage unit and use it. The predetermined ranges V1 to V2 are, for example, 1200 m / S to 1600 m / S, but are not limited to these values.
The determination unit 120 compares the propagation velocity v calculated by the velocity calculation unit 150 with the predetermined ranges V1 to V2, and if v is within the range of V1 to V2, the determination unit 120 has a predetermined time relationship with the first peak. Judge that there are two peaks. The fact that the propagation velocity v calculated by the velocity calculation unit 150 is within a predetermined range means that the first peak and the second peak-2 are derived from the same vibration, and the vibration propagated through the pipe to be analyzed. It can be said that it is highly likely to be derived.

When it is determined that there is a second peak having a predetermined time relationship with the first peak, the extraction unit 130 extracts vibration data including at least one of the first peak and the second peak, whichever is smaller. In the above example, when the determination unit 120 determines that there is a second peak having a predetermined time relationship with the first peak, the extraction unit 130 extracts vibration data including the second peak-2 smaller than the first peak. To do. As described above, the first peak and the second peak-2 are likely to be derived from the same vibration and are likely to be derived from the vibration propagating through the pipe to be analyzed. Further, since the vibration level of the second peak is smaller than that of the first peak, it is considered that the second peak is the vibration propagated through the pipe 501 between the sensor units 11-1 and 11-2 to be analyzed. Therefore, by extracting the vibration data including the second peak-2, the vibration generated in the vicinity of the sensor unit 11-1 and propagated through the pipe 501 between the sensor units 11-1 and 11-2 to be analyzed. The derived vibration data can be extracted. The extraction unit 130 may extract vibration data detected, for example, from 0.1 seconds before the time when the second peak-2 is detected to 0.5 seconds after the time when the second peak-2 is detected. However, the scope of extraction is not limited to this.

The analysis unit 140 analyzes the state of the pipe based on the vibration data extracted by the extraction unit 130. The state of the pipe refers to, for example, the state of deterioration of the pipe. Deterioration of pipes means, for example, that a hole is opened in a pipe and fluid leaks, the wall thickness of the pipe becomes thin, the pipe becomes corroded and becomes brittle, and the connection between pipes becomes loose. The analysis unit 140 may calculate the wall thickness, Young's modulus, etc. of the pipe using the sound velocity, resonance frequency, etc. calculated based on the vibration data extracted by the extraction unit 130, and analyze the state of the pipe. Further, the analysis unit 140 compares the resonance frequency calculated based on the vibration data extracted by the extraction unit 130 with the reference value, and determines that the piping is deteriorated when the resonance frequency is larger or smaller than the reference value. You may.
(Explanation of hardware configuration)
FIG. 3 is a diagram showing an example of a hardware configuration that realizes each of the sensor units 11 and the analysis device 100, which are elements of the analysis system 10. In the example shown in FIG. 3, the analyzer 100 includes the following configuration. The specific types of these components are not particularly limited, and any generally available component is used.

-CPU (Central Processing Unit) 1001
-ROM (Read Only Memory) 1002
・ RAM (Random Access Memory) 1003
-Program 1004 loaded into RAM 1003
A storage unit 1005 that stores the program 1004.
-Communication unit 1006 connected to the communication network
-Input / output unit 1007 that inputs / outputs data
-Bus 1008 connecting each component
Each component of each device in each embodiment is realized by the CPU 1001 acquiring and executing the program 1004 that realizes these functions. The program 1004 that realizes the functions of each component of each device is stored in, for example, in the storage unit 1005 or the ROM 1002 in advance, and is read by the CPU 1001 as needed. The program 1004 is supplied to the CPU 1001 via, for example, a communication network. Alternatively, the drive device connected to the information processing device as needed may read the program 1004 previously stored in the recording medium and supply it to the CPU 1001.
Further, the specific type of communication network to which the communication unit 1006 is connected is not particularly limited. The communication network includes, but is not limited to, an Internet line of an arbitrary standard, a telephone line of an arbitrary standard, a LAN (Local Area Network), and the like. Further, these communication networks may be wireless or wired.

There are various modifications in the method of realizing the analyzer 100. For example, the analyzer 100 may be realized by any combination of an information processing device and a program that are separate for each component. Further, a plurality of components included in the analyzer 100 may be realized by any combination of one information processing device and a program.

Further, a part or all of each component of each device may be realized by other general-purpose or dedicated circuit (cyclery), a processor or the like, or a combination thereof. These may be composed of a single chip or may be composed of a plurality of chips connected via a bus. A part or all of each component of each device may be realized by a combination of the above-mentioned circuit or the like and a program.

When a part or all of each component of the analyzer 100 is realized by a plurality of information processing devices and circuits, the plurality of information processing devices and circuits may be centrally arranged or distributed. You may. For example, the information processing device, the circuit, and the like may be realized as a form in which each is connected via a communication network, such as a client-and-server system and a cloud computing system.

Next, in the example shown in FIG. 3, each of the sensor units 11 includes the following configurations. The specific types of these components are not particularly limited, and any generally available component is used.

・ Detection unit 1111
-Battery 1112
・ CPU1113
・ ROM1114
・ RAM1117
-Program 1116 loaded into RAM 1117
A storage unit 1115 that stores the program 1116.
-Communication unit 1118 that connects to the communication network
-Bus 1119 connecting each component
The detection unit 1111 detects a physical quantity. When the physical quantity to be detected is vibration, the detection unit 1111 is realized by the vibration sensor. As the vibration sensor, a piezoelectric vibration sensor, an electromagnetic vibration sensor, an ultrasonic sensor, a microphone, or the like may be used. Further, when the physical quantity to be detected is a pressure such as water pressure, the detection unit 1111 is realized by a pressure sensor. As the pressure sensor, a pressure element or the like via a diaphragm may be used. The detection unit 1111 may include both a vibration sensor and a pressure sensor. Further, the physical quantity data detected by the vibration sensor or the pressure sensor (hereinafter, may be simply referred to as "physical quantity data") is converted from an analog signal to a digital signal by, for example, a signal conversion unit or the like.

The battery 1112 supplies power to each component of the sensor unit 11. The battery 1112 may be a primary battery or a secondary battery. The battery 1112 may have a configuration capable of notifying other elements of the remaining battery level. In this case, the program 1116 or the like executed by the CPU 1113 may perform control to change the operation of each component of the sensor unit 11 according to the remaining battery level.

The CPU 1113, ROM 1114, RAM 1117, program 1116 loaded into RAM 1117, storage unit 1115 for storing the program 1116, communication unit 1118 for connecting to the communication network, and bus 1119 for connecting each component have the corresponding configurations of the analyzer 100. It has a similar function.
(Explanation of operation of sensor unit 11)
Next, an example of the operation of the sensor unit 11 in this embodiment will be described.

The detection of physical quantity data by the sensor unit 11 is performed as an example as shown in the flowchart shown in FIG. It is assumed that a dormancy schedule is assigned to each of the sensor units 11 in advance. As an example, the dormancy schedule is set so that the time zones in which vibrations are detected substantially overlap in consideration of the time error in each of the plurality of sensor units 11.

The control unit 1110 determines whether or not the operating time is set in the dormancy schedule (step S11). When it is not the operating time, that is, when it is in the dormant state (step S11: No), for example, the control unit 1110 repeatedly determines in step S11 until the operating state is reached.

When the operating time is reached, that is, when the sensor unit 11 is in the operating state (step S11: Yes), the detection unit 1111 of the sensor unit 11 detects vibration and generates vibration data (step S12). Prior to the operation of step S11 or step S12, time synchronization may be performed between these sensor units 11.

The generated vibration data is appropriately stored in the storage unit 1115 or the like of the sensor unit 11 (step S13).

Further, the transmission of the detected physical quantity by the sensor unit 11 to the analyzer 100 is performed as an example as shown in the flowchart shown in FIG. The transmission operation shown in FIG. 7 is appropriately started according to, for example, the capacity of the storage unit 1115.

The control unit 1110 determines whether the transmission time is set in the dormancy schedule or the like (step S21). When it is not the transmission time, that is, when it is in a dormant state, or when it is in an operating state but it is not the transmission time (step S21: No), the control unit 1110 repeatedly determines in step S21 until the transmission time is reached. Do.

When it is the transmission time (step S21: Yes), the control unit 1110 transmits the vibration data to the analyzer 100 (step S22). In this case, the control unit 1110 may transmit vibration data that has been detected in advance and is stored in the storage unit 1115. Alternatively, the control unit 1110 may transmit the vibration data received from the detection unit 1111 to the analyzer 100.
(Explanation of operation of analyzer 100)
Subsequently, an example of the operation of the analyzer 100 in the present embodiment will be described with reference to the flowchart shown in FIG.

The acquisition unit 110 acquires the first vibration data from the sensor unit 11-1 via the communication unit. Similarly, the acquisition unit 110 acquires the second vibration data from the sensor unit 11-2 via the communication unit (step S101). The acquisition unit 110 further identifies the first peak that exceeds the threshold value a for each vibration data. Next, the acquisition unit 110 identifies the second peak exceeding the threshold value b from the vibration data detected after the peak exceeding the threshold value a with respect to the vibration data of the sensor unit that did not detect the peak exceeding the threshold value a. ..
The speed calculation unit 150 determines the time when the specified first peak is detected, the time when the specified second peak is detected, and the pipe length between the sensor unit 11-1 and the sensor unit 11-2. , The propagation velocity of vibration is calculated (S102).

The determination unit 120 determines whether or not there is a second peak having a predetermined time relationship with the first peak (S103). At this time, the determination unit 120 determines that there is a second peak having a predetermined time relationship with the first peak when the propagation speed calculated by the speed calculation unit 150 is within a predetermined range. On the contrary, the determination unit 120 determines that there is no second peak having a predetermined time relationship with the first peak when the propagation speed calculated by the speed calculation unit 150 is not within the predetermined range.

When it is determined that there is no second peak having a predetermined time relationship with the first peak (S103: No), for example, the speed calculation unit 150 again performs the operation of S102 with respect to the vibration data newly acquired by the acquisition unit 110. ..

When it is determined that there is a second peak having a predetermined time relationship with the first peak (S103: Yes), the extraction unit 130 includes vibration data including at least one of the first peak and the second peak, whichever is smaller. Is extracted (S104).

The analysis unit 140 analyzes the state of the pipe based on the vibration data extracted by the extraction unit 130 (S105).
As described above, the analyzer 100 of the first embodiment can selectively extract the physical quantity data propagated through the pipe to be analyzed, so that even when there are two or more physical quantity propagation paths, the analysis can be performed. The state of the target pipe can be analyzed accurately.

The analyzer 100 may further have a cross-correlation calculation unit that calculates the cross-correlation between the first vibration data generated by the sensor unit 11-1 and the second vibration data generated by the sensor unit 11-2. .. Then, the extraction unit 130 determines that there is a second peak having a predetermined time relationship with the first peak, and the first peak is when the cross-correlation calculated by the cross-correlation calculation unit is equal to or greater than a predetermined value. Alternatively, vibration data including at least the smaller of the second peaks may be extracted. The cross-correlation calculation unit calculates the cross-correlation between the vibration data of the predetermined period kl extracted from the first vibration data by the acquisition unit 110 and the vibration data of the predetermined period k2 extracted from the second vibration data by the acquisition unit 110. You may.

Further, the cross-correlation calculation unit may calculate the cross-correlation between the first vibration data and the second vibration data by using the following equation (1). In the following equation (1), t represents the time width subject to cross-correlation, and τ represents the time difference between the first vibration data and the second vibration data. Further, in the following equation (1), a _k1 represents the vibration level of the first vibration data of the predetermined period k1, and b _k2 represents the vibration level of the second vibration data of the predetermined period k2.

FIG. 9 is an example of the cross-correlation calculated by the cross-correlation calculation unit. In FIG. 9, the horizontal axis _{represents the time difference τ between a k1} and b _k2, and the vertical axis represents the magnitude of the cross-correlation. The cross-correlation calculation unit obtains the maximum value of the cross-correlation R (τ) obtained by using the equation (1). The maximum value is expressed as _{R max.} Then, the cross-correlation calculation unit determines that the calculated cross-correlation is equal to or greater than a predetermined value when _{R max,} which is the maximum value of the cross-correlation, exceeds a predetermined threshold value. For the threshold value, for example, 0.2 is used. However, the threshold value is not limited to this value, and may be appropriately determined according to the piping to be analyzed, the type of the detection unit 1111 of the sensor unit 11, and the like.

As a result, the analyzer 100 can extract not only the time relationship between the first peak and the second peak but also the data used for the analysis based on the cross-correlation between the first vibration data and the second vibration data. It is less likely to extract physical quantity data that has not propagated through the pipe to be analyzed. Therefore, the analyzer 100 can more accurately analyze the state of the pipe to be analyzed.

Further, the extraction unit 130 may extract the physical quantity data in a predetermined range from the first peak from the first physical quantity data and extract the physical quantity data in a predetermined range from the second peak from the second physical quantity data. Then, the analysis unit 140 may analyze the state of the pipe using the physical quantity data extracted by the extraction unit 130 from the first physical quantity data and the physical quantity data extracted by the extraction unit 130 from the second physical quantity data.

For example, in the case of the above example, since the first peak is larger than the second peak-2, the second peak-2 is the vibration propagated through the pipe 501 between the sensor units 11-1 and 11-2 to be analyzed. it is conceivable that. The analysis unit 140 can analyze the state of the pipe 501 to be analyzed using only the vibration data including the second peak-2. However, when the analysis unit 140 analyzes the pipe 501 using the vibration data including the first peak in addition to the vibration data including the second peak-2, the accuracy of the analysis is improved. For example, the analysis unit 140 may use the vibration data including the first peak to remove noise from the vibration data including the second peak-2. The noise referred to here includes noise caused by the environment near the sensor unit 11-2 (such as the vibration characteristics of the fire hydrant in which the sensor unit 11-2 is installed).

Further, the control unit 1110 of the sensor unit 11 may extract vibration data in a predetermined frequency range from the vibration data generated by the detection unit 1110. That is, the control unit 1110 may filter and remove vibration data outside the predetermined frequency range from the vibration data generated by the detection unit 1110. The predetermined frequency range is the frequency normally possessed by the vibration propagating in the pipe to be analyzed. For example, the predetermined frequency range may be 300 Hz to 500 Hz, but is not limited to this, and is appropriately determined according to the type of the pipe to be analyzed and the assumed state of the pipe. The vibration data extracted by the control unit 1110 is transmitted to the analyzer 100.

When the control unit 1110 extracts vibration data in a predetermined frequency range from the vibration data generated by the detection unit 1110, the amount of data transmitted by the sensor unit 11 to the analyzer 100 is reduced. As a result, it can be expected that the life of the battery 1112 of the sensor unit 11 will be extended and the communication speed between the sensor unit 11 and the analyzer 100 will be increased.

Further, when the speed calculation unit 150 is detected after the first peak exceeding the threshold value a and there are a plurality of second peaks exceeding the threshold value b, the second peak having the smallest time difference from the first peak exceeding the threshold value a. The vibration propagation velocity may be calculated first based on. Then, when it is determined that the calculated propagation speed is not within the predetermined range, the speed calculation unit 150 determines that the vibration propagation speed is based on the second peak having the next smallest time difference from the first peak exceeding the threshold value a. May be calculated. In this way, the speed calculation unit 150 may acquire the second peak in ascending order of time difference from the first peak exceeding the threshold value a, and calculate the propagation speed of the vibration. Then, the speed calculation unit 150 may end the calculation of the propagation speed when it is determined that the calculated propagation speed is within a predetermined range. Further, when there are a plurality of first peaks exceeding the threshold value a, the speed calculation unit 150 may calculate the vibration propagation speed in the order in which the time difference between the first peak and the second peak is small.
In this way, when the velocity calculation unit 150 calculates the propagation velocity from the set of peaks whose calculated propagation velocity is likely to be within a predetermined range, it may not be necessary to calculate the sound velocity for all the sets of peaks. is there. Therefore, the time required for the speed calculation unit 150 to calculate the propagation speed of the vibration can be reduced.

Further, the detection unit 1111 of the sensor unit 11 may detect the pressure of the fluid flowing in the pipe in addition to the vibration propagating in the pipe or the like. In that case, the sensor unit 11 transmits the pressure data to the analyzer 100 in addition to the vibration data. The speed calculation unit 150 of the analyzer 100 calculates the pressure propagation velocity using the peaks of the pressure data acquired from the sensor unit 11-1 and the sensor unit 11-2 in the same manner as the vibration data. The extraction unit includes the physical quantity data including at least the smaller of the second peaks with respect to the physical quantity data determined to have the second peak having a predetermined time relationship with the first peak among the vibration data and the pressure data. Is extracted. The analysis unit 140 analyzes the state of the pipe based on the extracted physical quantity data.

As a result, the state of the pipe can be analyzed based on the vibration waveform caused by the water hammer wave appearing in the pressure data, so that the state of the pipe to be analyzed can be analyzed more accurately than when only the vibration data is used. can do.
(Second embodiment)
Subsequently, the second embodiment will be described. FIG. 10 is a diagram showing an analyzer 101 according to the second embodiment.

As shown in FIG. 10, the analyzer 101 according to the second embodiment includes an acquisition unit 110, an extraction unit 130, an analysis unit 140, and a determination unit 160. The analyzer 101 is different from the analyzer 100 in the first embodiment in that it includes a determination unit 160 and does not include a speed calculation unit 150. Since the other components are the same as those of the analyzer 100 in the first embodiment, the description thereof will be omitted as appropriate.

When the determination unit 160 has a second peak detected within a predetermined time after the first peak is detected, the determination unit 160 determines that there is a second peak having a predetermined time relationship with the first peak. The first peak is a peak included in the vibration data generated by a certain sensor unit 11. The second peak is a peak included in the vibration data generated by another sensor unit 11.
The predetermined time is a time normally required for vibration to propagate through a pipe (a pipe to be analyzed) between a certain sensor unit 11 and another sensor unit 11. The predetermined time may be stored in the storage unit 1005 in association with the information that can identify the sensor unit or the information that can identify the pipe to be analyzed. Further, even if the determination unit 160 determines the predetermined time based on the conditions affecting the vibration propagation speed such as the material, diameter, and wall thickness of the pipe to be analyzed, the pipe length of the pipe to be analyzed, and the like. good.

The determination unit 160 will be described below with reference to a specific example. It is assumed that the analysis system 10 including the analysis device 101 targets the pipes constituting the water supply pipe network shown in FIG. 4 as the analysis target, as in the first embodiment. Further, it is assumed that the vibration data shown in FIG. 5 is obtained from the sensor unit 11-1 and the sensor unit 11-2 as in the first embodiment. Further, it is assumed that "60 m" is stored in the storage unit 1005 of the analyzer 101 as the pipe length of the pipe 501 between the sensor unit 11-1 and the sensor unit 11-2. Further, it is assumed that 1200 m / S to 1500 m / S as the propagation speed of the vibration propagating in the pipe 501 or the like is stored in the storage unit 1005 of the analyzer 101.

The determination unit 160 is a pipe 501 for the pipe 501 between the storage unit and the sensor unit 11-1 and the sensor unit 11-2 based on the sensor unit identification information transmitted from the sensor unit 11-1 and the sensor unit 11-2. The length of 60 m and the propagation speed of the vibration propagating in the pipe 501 and the like are acquired from 1200 m / S to 1500 m / S. Then, the determination unit 160 divides the pipe length by the propagation speed, and sets the time required for the vibration to propagate the pipe 501 or the like between the sensor unit 11-1 and the sensor unit 11-2 from 0.04S to 0.05S. calculate.

The determination unit 160 calculates the time difference Δt between the time t1 when the first peak is detected and the time t2 when the second peak-2 is detected. If Δt is within the range of 0.04S to 0.05S, the determination unit 160 determines that there is a second peak having a predetermined time relationship with the first peak. If Δt is outside the range of 0.04S to 0.05S, the determination unit 160 determines that there is no second peak having a predetermined time relationship with the first peak.
(Explanation of operation of analyzer 101)
Subsequently, an example of the operation of the analyzer 101 in the second embodiment will be described with reference to the flowchart shown in FIG. The description of the same operation as that of the first embodiment will be omitted as appropriate.

The acquisition unit 110 acquires the first vibration data from the sensor unit 11-1 via the communication unit. Similarly, the acquisition unit 110 acquires the second vibration data from the sensor unit 11-2 via the communication unit (step S101). At this time, the acquisition unit 110 acquires the identification information of the sensor unit from each of the sensor unit 11-1 and the sensor unit 11-2.
The acquisition unit 110 further identifies the first peak that exceeds the threshold value a for each vibration data. Next, the acquisition unit 110 identifies the second peak exceeding the threshold value b from the vibration data detected after the peak exceeding the threshold value a with respect to the vibration data of the sensor unit that did not detect the peak exceeding the threshold value a. ..

The determination unit 160 determines whether or not there is a second peak having a predetermined time relationship with the first peak (S106). Specifically, the determination unit 160 determines that there is a second peak having a predetermined time relationship with the first peak when there is a second peak detected within a predetermined time after the first peak is detected. (S106: Yes). For example, the determination unit 160 calculates the time difference Δt between the time when the specified first peak is detected and the time when the specified second peak is detected. Further, a predetermined time is acquired from the storage unit 1005 based on the identification information of each of the sensor unit 11-1 and the sensor unit 11-2. Then, if Δt is within a predetermined time, the determination unit 160 determines that there is a second peak having a predetermined time relationship with the first peak.

On the other hand, if there is no second peak detected within a predetermined time after the first peak is detected, the determination unit 160 determines that there is no second peak having a predetermined time relationship with the first peak (S106: No). For example, if the calculated time difference Δt is outside the predetermined time, the determination unit 106 determines that there is no second peak having a predetermined time relationship with the first peak. When it is determined that there is no second peak having a predetermined time relationship with the first peak, the determination unit 160 uses the vibration data newly acquired by the acquisition unit 110 from the sensor unit 11-1 and the sensor unit 11-2. Then, the operation of S106 may be performed again.

As described above, the analyzer 101 of the second embodiment can determine whether or not there is a second peak having a predetermined time relationship with the first peak without calculating the vibration velocity.
(Third embodiment)
Subsequently, the third embodiment will be described. FIG. 12 is a diagram showing the analyzer 102 according to the third embodiment.

As shown in FIG. 12, the analyzer 102 according to the third embodiment includes an acquisition unit 110, an extraction unit 130, an analysis unit 140, a determination unit 170, and a speed calculation unit 180. The analyzer 102 is different from the analyzer 100 in the first embodiment in that it includes a determination unit 170 and a speed calculation unit 180. Since the other components are the same as those of the analyzer 100 in the first embodiment, the description thereof will be omitted as appropriate. Further, since some of the functions of the determination unit 170 are common to the determination unit 120, the description of the common parts will be omitted as appropriate. Similarly, since some of the functions of the speed calculation unit 180 are common to the extraction unit 130, the description of the common parts will be omitted as appropriate.

FIG. 13 shows a water supply piping network to be analyzed by the analysis system 10 including the analysis device 102. A sensor unit 11-5 is attached to the fire hydrant existing at the intersection of the pipe 501 shown in FIG. 13 in addition to the sensor unit and the sensor units 11-1 to 11-4. The functions and components of the sensor unit 11-5 are the same as those of the other sensor units 11. Further, in the present embodiment, it is assumed that the pipe 501 between the sensor unit 11-1 and the sensor unit 11-2 is the analysis target of the analyzer 102.
The acquisition unit 110 acquires the third vibration data generated by the sensor unit 11-5 in addition to the sensor unit 11-1 and the sensor unit 11-2. The acquisition unit 110 may acquire the third vibration data from the sensor unit 11-5 via the communication unit 1006. Alternatively, the acquisition unit 110 may acquire the third vibration data stored in advance in the storage unit of the analyzer 102.

The acquisition unit 110 may extract vibration data for a predetermined period from each of the first vibration data, the second vibration data, and the third vibration data. The extraction of the vibration data for a predetermined period may be performed in the same manner as in the first embodiment.

5 and 14 show an example of the data extracted by the acquisition unit 110. FIG. 5A shows an example of data extracted from the first vibration data by the acquisition unit 110. FIG. 5B shows an example of data extracted from the second vibration data by the acquisition unit 110. FIG. 14 shows an example of the data extracted from the third vibration data by the acquisition unit 110.

Similar to FIG. 5, in the example shown in FIG. 14, the vibration level is an index indicating the magnitude of vibration such as amplitude. As the vibration level, the acceleration of vibration, the power spectral density of vibration, and the like are used. Further, in the examples of FIGS. 5 (A), 5 (B), and 14, the horizontal axis indicates the same time.

First, the acquisition unit 110 searches for a peak exceeding the threshold value a in the vibration data acquired from the sensor unit 11-1 and the sensor unit 11-2 attached to the fire hydrants at both ends of the pipe 501 to be analyzed. That is, the acquisition unit 110 searches for the vibration data extracted from the first vibration data and the peak exceeding the threshold value a for the vibration data extracted from the second vibration data. From FIG. 5, the acquisition unit 110 identifies the first peak shown in FIG. 5A as a peak exceeding the threshold value a.

Next, the acquisition unit 110 has acquired a peak exceeding the threshold value b from the vibration data detected after the peak exceeding the threshold value a among the vibration data acquired from the sensor unit 11-2 that did not detect the peak exceeding the threshold value a. Look for. From FIG. 5, the acquisition unit 110 identifies the second peak-2 shown in FIG. 5B as a peak exceeding the threshold value b.

Further, the acquisition unit 110 searches for a peak exceeding the threshold value in the vibration data acquired from the sensor units other than the sensor unit 11-1 and the sensor unit 11-2. For example, the acquisition unit 110 searches for a peak exceeding the threshold value c with respect to the third vibration data acquired from the sensor unit 11-5 adjacent to the sensor unit 11-1 that has detected the first peak exceeding the threshold value a. Here, the threshold value c is an approximate vibration level when the vibration generated by the vibration source existing in the vicinity of the sensor unit 11-1 propagates through the pipe of the path 3 and is detected by the sensor unit 11-5. .. From FIG. 13, the acquisition unit 110 identifies the third peak that exceeds the threshold value c.

The acquisition unit 110 may search for a peak exceeding the threshold value a from all of the first vibration data, the second vibration data, and the third vibration data (or vibration data extracted from each of these vibration data). When a peak exceeding the threshold value a is specified, a peak that is detected after the peak that exceeds the threshold value a and exceeds the threshold value b or c from the two vibration data in which the peak that exceeds the threshold value a is not specified. You may look for.

The speed calculation unit 180 is based on the time when the first peak is detected, the time when the second peak-2 is detected, and the pipe length between the sensor unit 11-1 and the sensor unit 11-2. , Calculate the vibration propagation velocity (hereinafter, may be referred to as the first propagation velocity). It is assumed that the time when the first peak is detected is t1 and the time when the second peak-2 is detected is t2. Further, it is assumed that the pipe length between the sensor unit 11-1 and the sensor unit 11-2 is L1. The velocity calculation unit 150 can calculate the first propagation velocity V1 by calculating L1 / (t2-t1), for example.
Further, the speed calculation unit 180 determines the time when at least the larger of the first peak and the second peak-2 is detected, the time when the third peak is detected, and the first peak and the second peak-. Vibration propagation speed (hereinafter, may be referred to as second propagation speed) based on the pipe length between the sensor unit and the sensor unit 11-5 that detected at least the larger peak of 2. Is calculated. In this embodiment, the first peak is larger than the second peak-2. Here, it is assumed that the time when the first peak is detected is t1 and the time when the third peak is detected is t3. Further, it is assumed that the pipe length between the sensor unit 11-1 and the sensor unit 11-5 is L2. The velocity calculation unit 150 can calculate the second propagation velocity V2 by calculating L2 / (t3-t1), for example.

The determination unit 170 determines whether or not there is the second peak having a predetermined time relationship with the first peak. Further, the determination unit 170 determines whether or not there is a third peak having a predetermined time relationship with at least the larger of the first peak and the second peak. As mentioned above, the first peak is larger than the second peak-2. For example, when the first propagation speed calculated by the speed calculation unit 150 is within a predetermined range, the determination unit 170 determines that there is a second peak having a predetermined time relationship with the first peak. Further, the determination unit 170 determines that there is a third peak having a predetermined time relationship with the first peak when the second propagation velocity calculated by the speed calculation unit 150 is within a predetermined range. The predetermined range may be the range of the propagation speed that the vibration propagating in the pipe or the like to be analyzed can normally take, as in the first embodiment. The determination unit 170 may also determine whether or not the time relationship with the third peak is a predetermined time relationship with respect to the smaller of the first peak and the second peak.

The fact that the first propagation velocity calculated by the velocity calculation unit 150 is within a predetermined range means that the first peak and the second peak-2 are derived from the same vibration, and the piping to be analyzed (path 1). It can be said that there is a high possibility that it is derived from the vibration propagated through the piping). Further, the fact that the second propagation velocity calculated by the velocity calculation unit 150 is within a predetermined range means that the first peak and the third peak are derived from the same vibration, and the vibration propagated through the pipe of the path 3. It can be said that it is highly likely to be derived.

The extraction unit 130 determines that there is a second peak having a predetermined time relationship with the first peak, and has a third peak having a predetermined time relationship with the larger of the first peak and the second peak. If it is determined, physical quantity data including at least the smaller of the first peak and the second peak is extracted. In the above example, the extraction unit 130 extracts the vibration data including the second peak-2 when the first propagation velocity is within the predetermined range and the second propagation velocity is within the predetermined range. .. The extraction unit 130 may extract vibration data detected, for example, from 0.1 seconds before the time when the second peak-2 is detected to 0.5 seconds after the time when the second peak-2 is detected. However, the scope of extraction is not limited to this. Further, as in the first embodiment, the extraction unit 130 may extract vibration data including the first peak in addition to the second peak-2. When the analysis unit 140 analyzes the pipe 501 using the vibration data including the first peak in addition to the vibration data including the second peak-2, the accuracy of the analysis is improved. The fact that the first propagation velocity is within the predetermined range and the second propagation velocity is within the predetermined range means that the first peak, the second peak-2, and the third peak are the sensor unit 11. It can be said that there is a high possibility that it is derived from the same vibration generated by the vibration source near -1. That is, it is possible that the vibration originating from the vibration source near the sensor unit 11-1 propagates through the path 1 and is detected as the second peak-2, and at the same time, propagates through the path 3 and is detected as the third peak. Can be said to be high.

The data extracted by the analyzer 100 of the first embodiment as the analysis target is likely to be vibration data propagated through the pipe to be analyzed. However, there is a possibility that a vibration source other than the vibration source that generated the first peak in the vicinity of the sensor unit 11-1 accidentally generates the second peak in a predetermined time relationship. In this case, in the first embodiment, there is a risk that the pipe will be analyzed using vibration data that has not propagated through the pipe to be analyzed. The analyzer 102 of the third embodiment determines, in addition to the first embodiment, whether or not there is a third peak having a predetermined time relationship with the larger of the first peak and the second peak. Therefore, as described above, the second peak detected by chance in a predetermined time relationship can be excluded from the analysis target. Therefore, the analyzer 100 of the third embodiment can analyze the state of the pipe to be analyzed more accurately.
(Explanation of operation of analyzer 102)
Subsequently, an example of the operation of the analyzer 102 in the embodiment of the third embodiment will be described with reference to the flowchart shown in FIG. The description of the same operation as that of the first embodiment will be omitted as appropriate.

The acquisition unit 110 acquires the third vibration data generated by the sensor unit 11-5 in addition to the sensor unit 11-1 and the sensor unit 11-2 (S107). The acquisition unit 110 may extract vibration data for a predetermined period from each of the first vibration data, the second vibration data, and the third vibration data. The extraction of the vibration data for a predetermined period may be performed in the same manner as in the first embodiment.
Then, the acquisition unit 110 searches for the peak exceeding the threshold value a in the vibration data acquired from the sensor unit 11-1 and the sensor unit 11-2 attached to the fire hydrants at both ends of the pipe 501 to be analyzed. That is, the acquisition unit 110 searches for the vibration data extracted from the first vibration data and the peak exceeding the threshold value a for the vibration data extracted from the second vibration data. From FIG. 5, the acquisition unit 110 identifies the first peak shown in FIG. 5A as a peak exceeding the threshold value a.

Next, the acquisition unit 110 has acquired a peak exceeding the threshold value b from the vibration data detected after the peak exceeding the threshold value a among the vibration data acquired from the sensor unit 11-2 that did not detect the peak exceeding the threshold value a. Look for. From FIG. 5, the acquisition unit 110 identifies the second peak-2 shown in FIG. 5B as a peak exceeding the threshold value b.

Further, the acquisition unit 110 searches for a peak exceeding the threshold value in the vibration data acquired from the sensor unit adjacent to the sensor unit that has detected the larger peak of the first peak or the second peak. For example, the acquisition unit 110 searches for a peak exceeding the threshold value c with respect to the third vibration data acquired from the sensor unit 11-5 adjacent to the sensor unit 11-1 that has detected the first peak exceeding the threshold value a. From FIG. 13, the acquisition unit 110 identifies the third peak that exceeds the threshold value c.

The speed calculation unit 180 is based on the time when the first peak is detected, the time when the second peak-2 is detected, and the pipe length between the sensor unit 11-1 and the sensor unit 11-2. , Calculate the first propagation velocity. Further, the speed calculation unit 180 determines the time when the larger of the first peak and the second peak-2 is detected, the time when the third peak is detected, and the first peak and the second peak-2. The second propagation velocity is calculated based on the pipe length between the sensor unit and the sensor unit 11-5 that detected the larger peak of the above (S108).

The determination unit 170 determines whether or not there is a third peak having a predetermined time relationship with the larger of the first peak and the second peak (S109). More specifically, the determination unit 170 determines that there is a third peak having a predetermined time relationship with the first peak when, for example, the second propagation velocity calculated by the speed calculation unit 150 is within a predetermined range. To do.

When it is determined that there is no third peak having a predetermined time relationship with the larger of the first peak and the second peak (S109: No), for example, the speed calculation unit 180 is newly acquired by the acquisition unit 110. The operation of S108 is performed again for the vibration data.
When it is determined that there is a third peak having a predetermined time relationship with the larger of the first peak and the second peak (S109: Yes), the extraction unit 130 uses either the first peak or the second peak. Physical quantity data including the smaller one is extracted (S104).

The analyzer 102 of the third embodiment determines, in addition to the first embodiment, whether or not there is a third peak having a predetermined time relationship with at least the larger of the first peak and the second peak. Therefore, as described above, the second peak detected by chance in a predetermined time relationship can be excluded from the analysis target. Therefore, the analyzer 100 of the third embodiment can analyze the state of the pipe to be analyzed more accurately.

The analyzer 102 does not have to include the speed calculation unit 108. In that case, if the determination unit 170 has a second peak detected within a predetermined time after the first peak is detected, the determination unit 170 may determine that there is a second peak having a predetermined time relationship with the first peak. Good. Further, when the determination unit 170 has a third peak detected within a predetermined time after the larger one of the first peak and the second peak is detected, the larger one of the first peak and the second peak is obtained. It may be determined that there is a third peak having a predetermined time relationship with. The method for determining whether or not the detection has been performed within a predetermined time is the same as that in the second embodiment.

An example of applying the present invention to some embodiments has been described above. However, each of the above-described embodiments is an example, and is not intended to limit the technical scope of the present invention to them. As long as it is within the scope of the present invention described in the claims, the above-described embodiments can be variously modified.

10 Analysis system 11 Sensor unit 11-1 Sensor unit 11-2 Sensor unit 11-3 Sensor unit 11-4 Sensor unit 11-5 Sensor unit 11-N Sensor unit 100 Analysis device 101 Analysis device 102 Analysis device 110 Acquisition unit 120 Judgment Unit 130 Extraction unit 140 Analysis unit 150 Speed calculation unit 160 Judgment unit 170 Judgment unit 180 Speed calculation unit 500 Water supply piping network 501 Piping 1000 Analyzer 1001 CPU
1002 ROM
1003 RAM
1004 Program 1005 Storage unit 1006 Communication unit 1007 Input / output unit 1008 Bus 1110-1 Control unit 1110-2 Control unit 1110-3 Control unit 1111 Detection unit 1111-1 Detection unit 1111-2 Detection unit 1111-3 Detection unit 1112 Battery 1113 CPU
1114 ROM
1115 Storage 1116 Program 1117 RAM
1118 Communication Department 1119 Bus

Claims (9)

The first physical quantity data generated by the first detection unit that detects the physical quantity propagating in the pipe or the fluid flowing through the pipe, and the second detection unit that detects the physical quantity at a point different from the first detection unit. (Ii) An acquisition unit that acquires physical quantity data,
If there is a second peak included in the second physical quantity data and the second peak is detected within a predetermined time after the first peak included in the first physical quantity data is detected, the first peak is present. And a determination unit that determines that there is the second peak having a predetermined time relationship with
When it is determined that there is the second peak having a predetermined time relationship with the first peak, an extraction unit for extracting physical quantity data including at least the smaller of the first peak and the second peak. ,
An analysis unit that analyzes the state of the pipe based on the physical quantity data extracted by the extraction unit,
An analyzer equipped with. The first physical quantity data generated by the first detection unit that detects the physical quantity propagating in the pipe or the fluid flowing through the pipe, and the second detection unit that detects the physical quantity at a point different from the first detection unit. (Ii) An acquisition unit that acquires physical quantity data,
A determination unit for determining whether or not there is a second peak included in the second physical quantity data and having a predetermined time relationship with the first peak included in the first physical quantity data.
When it is determined that there is the second peak having a predetermined time relationship with the first peak, an extraction unit for extracting physical quantity data including at least the smaller of the first peak and the second peak. ,
An analysis unit that analyzes the state of the pipe based on the physical quantity data extracted by the extraction unit,
Propagation speed of the physical quantity based on the time when the first peak is detected, the time when the second peak is detected, and the pipe length between the first detection unit and the second detection unit. and a speed calculation unit for calculating a,
When the propagation speed calculated by the speed calculation unit is within a predetermined range, the determination unit determines that there is the second peak having a predetermined time relationship with the first peak.
Analysis apparatus. The first physical quantity data generated by the first detection unit that detects the physical quantity propagating in the pipe or the fluid flowing through the pipe, and the second detection unit that detects the physical quantity at a point different from the first detection unit. (Ii) An acquisition unit that acquires physical quantity data,
A determination unit for determining whether or not there is a second peak included in the second physical quantity data and having a predetermined time relationship with the first peak included in the first physical quantity data.
When it is determined that there is the second peak having a predetermined time relationship with the first peak, an extraction unit for extracting physical quantity data including at least the smaller of the first peak and the second peak. ,
It is provided with an analysis unit that analyzes the state of the pipe based on the physical quantity data extracted by the extraction unit.
When the determination unit has the second peak detected within a predetermined time after the first peak is detected, the determination unit determines that the second peak has a predetermined time relationship with the first peak.
Analysis apparatus. It has a cross-correlation calculation unit that calculates the cross-correlation between the first physical quantity data and the second physical quantity data.
The extraction unit determines that the second peak has a predetermined time relationship with the first peak, and the cross-correlation calculated by the cross-correlation calculation unit is equal to or greater than a predetermined value. Extract physical quantity data including at least one of the one peak and the second peak, whichever is smaller.
The analyzer according to at least one of claims 1 to 3. The extraction unit extracts the physical quantity data in a predetermined range from the first peak from the first physical quantity data, and extracts the physical quantity data in a predetermined range from the second peak from the second physical quantity data.
The analysis unit analyzes the state of the pipe using the physical quantity data extracted by the extraction unit from the first physical quantity data and the physical quantity data extracted by the extraction unit from the second physical quantity data.
The analyzer according to at least one of claims 1 to 4. The acquisition unit further acquires the third physical quantity data generated by the third detection unit that detects the physical quantity, and obtains the third physical quantity data.
Further, the determination unit is the third peak included in the third physical quantity data, and whether there is the third peak having a predetermined time relationship with at least one of the first peak and the second peak, whichever is larger. Judge whether or not
The extraction unit is determined to have the second peak having a predetermined time relationship with the first peak, and has a predetermined time relationship with at least one of the first peak and the second peak, whichever is larger. When it is determined that the third peak is present, physical quantity data including at least the smaller of the first peak and the second peak is extracted.
The analyzer according to at least one of claims 1 to 5. A first sensor unit including a first detection unit that detects a physical quantity propagating in a pipe or a fluid flowing through the pipe, and
A second sensor unit including a second detection unit that detects the physical quantity at a point different from the first detection unit, and
The first sensor unit and the analyzer capable of communicating with the second sensor unit are provided.
The analyzer is
An acquisition unit that acquires the first physical quantity data generated by the first detection unit and the second physical quantity data generated by the second detection unit.
If there is a second peak included in the second physical quantity data and the second peak is detected within a predetermined time after the first peak included in the first physical quantity data is detected, the first peak is present. And a determination unit that determines that there is the second peak having a predetermined time relationship with
When it is determined that there is the second peak having a predetermined time relationship with the first peak, an extraction unit for extracting physical quantity data including at least the smaller of the first peak and the second peak. ,
An analysis unit that analyzes the state of the pipe based on the physical quantity data extracted by the extraction unit,
Analytical system with. The first physical quantity data generated by the first detection unit that detects the physical quantity propagating in the pipe or the fluid flowing through the pipe, and the second detection unit that detects the physical quantity at a point different from the first detection unit. Obtain physical quantity data and
If there is a second peak included in the second physical quantity data and the second peak is detected within a predetermined time after the first peak included in the first physical quantity data is detected, the first peak is present. It is determined that there is the second peak having a predetermined time relationship with
When it is determined that there is the second peak having a predetermined time relationship with the first peak, physical quantity data including at least the smaller of the first peak and the second peak is extracted.
Analyzing the state of the pipe based on the extracted physical quantity data,
Analytical method. On the computer
The first physical quantity data generated by the first detection unit that detects the physical quantity propagating in the pipe or the fluid flowing through the pipe, and the second detection unit that detects the physical quantity at a point different from the first detection unit. (Ii) The process of acquiring physical quantity data and
If there is a second peak included in the second physical quantity data and the second peak is detected within a predetermined time after the first peak included in the first physical quantity data is detected, the first peak is present. And the process of determining that there is the second peak having a predetermined time relationship with
When it is determined that there is the second peak having a predetermined time relationship with the first peak, a process of extracting physical quantity data including at least one of the first peak and the second peak, whichever is smaller, and a process of extracting the physical quantity data.
Processing to analyze the state of the pipe based on the extracted physical quantity data,
A program that executes.

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