JP7131887B2 - Analysis device, analysis system, analysis method and program - Google Patents

Description

The present invention relates to an analysis device, an analysis system, an analysis method, and a program.

When deterioration of pipes constituting a water supply and sewerage network leads to an accident, it may cause a large social impact and economic loss. Therefore, various methods for analyzing deterioration states of pipes have been proposed.

Patent Literature 1 describes a leak position identifying device that reduces the energy consumed by a device used to identify a leak position in a pipe, a leak position identifying method for controlling the leak position identifying device, and the like.

Patent Literature 2 describes a water management system and the like capable of suppressing progress of deterioration of water pipes.

Patent Literature 3 describes an analyzer and the like for simply and accurately analyzing the state of piping.

In addition, Patent Document 4 describes a pipe leakage detection method and the like that enable easy detection of a leak location only by an operation of detecting flow sound with a microphone at both ends of a fluid pipe search.

WO2014/050512 WO2016/067558 JP 2015-190825 A JP-A-11-201859 Japanese Patent Application Laid-Open No. 2010-223740

When analyzing the state of piping, a sensor or the like that measures some physical quantity related to the state of piping may be used. In general, the pipes that make up the water supply and sewerage networks are buried underground and are not easily accessible, so it is desirable that the sensors used for these purposes consume little power. In other words, it is required to reduce the amount of power consumed by the sensor as compared with the technology described in Patent Document 1 and the like.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and a main object of the present invention is to provide an analysis device or the like in which the amount of power consumed by the sensor is small.

An analysis apparatus according to one aspect of the present invention includes determination means for determining whether analysis of the state of a pipe is necessary based on the cross-correlation of physical quantities detected by two sensors respectively during predetermined time periods; and analysis means for analyzing the state of the piping based on the physical quantity when it is determined that the

An analysis system according to one aspect of the present invention includes a plurality of sensor units that detect physical quantities, and an analysis device that performs determination and analysis based on the physical quantities detected by each of the plurality of sensor units.

An analysis method according to one aspect of the present invention determines whether analysis of the state of a pipe is necessary based on the cross-correlation of physical quantities detected by two sensors respectively during predetermined time periods, and determines whether analysis is necessary. When determined, the state of the piping is analyzed based on the physical quantity.

A program in one aspect of the present invention provides a computer with a process of determining whether analysis of the state of piping is necessary based on the cross-correlation of the physical quantities detected by the two sensors respectively during predetermined time periods; and a process of analyzing the state of the piping based on the physical quantity when it is determined that the analysis is necessary.

ADVANTAGE OF THE INVENTION According to this invention, the analysis apparatus etc. with small power consumption by a sensor can be provided.

It is a figure which shows the analysis apparatus in the 1st Embodiment of this invention. BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the analysis system containing the analysis apparatus in the 1st Embodiment of this invention. BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the structure of the apparatus etc. which implement|achieve the analysis apparatus and analysis system in each embodiment of this invention. 1 shows an example of a water pipe network to be analyzed by the analysis device and analysis system according to the first embodiment of the present invention; FIG. 4 is a diagram showing an example of physical quantity data detected by a sensor unit; FIG. 4 is a diagram showing an example of cross-correlation; 4 is a flow chart showing the operation of detecting physical quantity data by the sensor unit 11 included in the analysis system according to each embodiment of the present invention. 4 is a flow chart showing the operation of transmitting physical quantity data by the sensor unit 11 included in the analysis system according to each embodiment of the present invention. 4 is a flow chart showing the operation of the analysis device according to the first embodiment of the present invention; It is a figure which shows the analysis apparatus in the 2nd Embodiment of this invention. It is a figure which shows the analysis system containing the analysis apparatus in the 2nd Embodiment of this invention. It is a flowchart which shows the operation|movement of the analyzer in the 3rd Embodiment of this invention.

Each embodiment of the present invention will be described with reference to the accompanying drawings. In each embodiment of the present invention, the analyzer and the like are intended for pipes that constitute a water pipe network such as water supply and sewerage. However, the target of analyzers and the like is not limited to the water pipe network. The analysis device or the like may analyze a pipe carrying a gas or other gas.

(First embodiment)
First, a first embodiment of the present invention will be described. FIG. 1 is a diagram showing an analysis device according to a first embodiment of the present invention.

As shown in FIG. 1, the analysis device 100 according to the first embodiment of the present invention includes a determination section 110 and an analysis section 120. FIG. The determination unit 110 determines whether analysis of the state of the piping is necessary based on the cross-correlation of the physical quantities detected by the two sensors during the respective defined time periods. The analysis unit 120 analyzes the state of the piping based on physical quantities when it is determined that analysis is necessary.

FIG. 2 is a diagram showing the configuration of the analysis system 10 including the analysis device 100. As shown in FIG. Analysis system 10 includes an analysis device 100 and a sensor unit 11 . The sensor unit 11 detects physical quantities associated with a pipe or a fluid flowing inside the pipe. Physical quantities detected by each of the sensor units 11 are transmitted to the analysis device 100 via a communication network or the like. The analysis device 100 uses the physical quantity detected by the sensor unit 11 to perform the determination and analysis described above.

In this embodiment, the physical quantity is a quantity that may change according to the state of the piping. In other words, it is possible to analyze the state of the piping using the physical quantity. The physical quantity is, for example, vibration propagating in a pipe or a fluid flowing inside the pipe. Also, the physical quantity may be the pressure of a fluid flowing inside a pipe, such as water pressure. It should be noted that another index different from vibration or pressure may be used as the physical quantity. In the following description, it is assumed that the physical quantity is vibration.

FIG. 2 shows an example in which the analysis system 10 includes N sensor units 11, ie, sensor units 11-1 to 11-N. Note that 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 configuration of the piping and other factors.

Each sensor unit 11 includes, for example, a control section 1110 and a detection section 1111 . The control section 1110 controls the operation of the sensor unit 11 . A detection unit 1111 detects the physical quantity described above.

In this embodiment, it is assumed that the sensor unit 11 has two operating states, an active state and a resting state. The operating state is a state in which the sensor unit 11 can detect the physical quantity described above, transmit the detected physical quantity, and the like. The dormant state is a state in which detection of physical quantities, transmission of detected physical quantities, etc. are stopped. When the sensor unit 11 is in the dormant state, power consumption is expected to be smaller than when it is in the operating state.

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

The sleep schedule may be information indicating the time period during which the sensor unit 11 is in the operating state or the sleeping state, or may be information indicating the intervals for switching between the operating state and the sleep state. Also, the same sleep schedule may be assigned to all the sensor units 11, or a different sleep schedule may be assigned to each sensor unit 11. FIG. The dormancy schedule may include a schedule for transmitting physical quantity data detected by the sensor unit 11 to the analysis device 100 .

Further, in each embodiment, each sensor unit 11 includes a mechanism (not shown) for measuring time. It is also assumed that the time represented by the mechanism for measuring time can be synchronized between each of the plurality of sensor units 11 . In the following description, the time indicated by the mechanism for measuring the time included in the sensor unit 11 may be referred to as "the time of the sensor unit 11" or the like. Further, synchronizing the time indicated by the mechanism for measuring the time may simply be referred to as "time synchronization" or the like. In each embodiment, unless otherwise specified, it is assumed that the mechanisms for measuring the time included in each of the sensor units 11 are not synchronized with each other.

Note that the time synchronization means aligning the times indicated by the mechanisms for measuring the times provided in each of the plurality of sensor units 11 . That is, the time synchronization adjusts the time difference indicated by the mechanism for measuring the time provided in each of the plurality of sensor units 11 so as to be within a predetermined range. In this case, the predetermined range is determined according to, for example, the accuracy required when calculating the propagation velocity of vibration, which will be described later.

In the example shown in FIG. 2, each component of the analysis system 10 represents a functional unit block. 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. FIG. 3 is a diagram showing an example of a hardware configuration that implements each of the sensor units 11 and the analysis device 100 that are elements of the analysis system 10. As shown in FIG.

In the example shown in FIG. 2, the analysis device 100 includes the following configuration. The specific types of these constituent elements are not particularly limited, and generally available arbitrary elements are 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 communication network
An input/output unit 1007 for inputting/outputting data
A bus 1008 connecting each component
Each component of each device in each embodiment is implemented by the CPU 1001 acquiring and executing a program 1004 that implements these functions. A program 1004 that implements the function of each component of each device is stored in advance in, for example, the storage unit 1005 or the ROM 1002, and is read by the CPU 1001 as necessary. Note that the program 1004 is supplied to the CPU 1001 via a communication network 1009, for example. Alternatively, a drive device (not shown) connected to the information processing device as necessary may read the program 1004 stored in a recording medium in advance and supply the program 1004 to the CPU 1001 .

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

Also, part or all of each component of each device is implemented by other general-purpose or dedicated circuits, processors, etc., or combinations thereof. These may be composed of a single chip, or may be composed of multiple chips connected via a bus. A part or all of each component of each device may be realized by a combination of the above-described circuits and the like and programs.

When some or all of the components of the analysis device 100 are implemented by a plurality of information processing devices, circuits, etc., the plurality of information processing devices, circuits, etc. may be centrally arranged or distributed. may For example, the information processing device, circuits, and the like may be implemented as a client-and-server system, a cloud computing system, or the like, each of which is connected via a communication network.

Further, in the example shown in FIG. 3, the sensor unit 11 includes a CPU 1101, a ROM 1102, a RAM 1103, a storage section 1105, a communication section 1106, and a bus 1108. A program 1104 is stored in the storage unit 1105 . These elements have the same functions as the constituent elements of the analysis apparatus 100, and constitute the control section 1110 described above.

In the example shown in FIG. 3, the specific type of communication network to which the communication unit 1106 connects is not particularly limited. The communication network includes, but is not limited to, an Internet line of any standard, a telephone line of any standard, a LAN (Local Area Network), or the like. Also, these communication networks may be wireless or wired.

Further, the sensor unit 11 includes the detection section 1111 and the battery 1112 described above.

The detection unit 1111 detects physical quantities. When the physical quantity to be detected is vibration, the detection unit 1111 is implemented by a vibration sensor. A piezoelectric vibration sensor, an electromagnetic vibration sensor, an ultrasonic sensor, a microphone, or the like is used as the vibration sensor. Further, when the physical quantity to be detected is pressure such as water pressure, the detection unit 1111 is implemented by a pressure sensor. As a pressure sensor, a pressure element or the like via a diaphragm is 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 is converted from an analog signal to a digital signal by, for example, a signal converter (not shown) or the like.

A 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 be configured to notify other elements of the remaining amount of the battery. In this case, the program 1104 or the like executed by the CPU 1101 may perform control to change the operation of each component of the sensor unit 11 according to the remaining amount of the battery.

As described above, the analysis device 100 and the like target pipes that constitute a water pipe network such as water supply and sewerage. FIG. 4 shows an example in which the analysis system 10 analyzes pipes that make up a water pipe network.

A water supply pipe network 500 shown in FIG. 4 is composed of a plurality of pipes 501 . A fire hydrant 502 is provided in the pipe 501 . In the example shown in FIG. 4, fire hydrants 502-1 to 502-4 are provided at intersections of pipes 501, and fire hydrants 502-5 are provided at other locations. Further, each of the sensor units 11-1 to 11-4 is attached to fire hydrants 502-1 to 502-4, respectively.
Note that the water supply pipe network 500 may be provided with other necessary equipment.

The analysis system 10 detects vibration generated in the pipe 501 or the fire hydrant 502, and analyzes the state of the pipe based on the detected vibration. For example, the analysis system 10 detects vibrations caused by factors external to the water pipe network 500 and analyzes the state of the pipes based on the detected vibrations. Vibrations caused by factors outside the water supply pipe network 500 include vibrations caused by a vehicle passing near a location where the sensor unit 11 such as the fire hydrant 502-2 is provided.

The analysis system 10 may also detect vibration caused by vibrating the pipe 501 or the fire hydrant 502 and analyze the state of the pipe based on the detected vibration. In this case, the pipe 501 may be subjected to impact vibration by hitting the fire hydrant 502 with a hammer or the like. Alternatively, the piping 501 may be vibrated by generating vibration such as white noise using a vibration exciter. When the piping 501 or the like is to be vibrated, the location of the vibration is not particularly limited, and may be determined according to the positional relationship with the sensor unit 11 and the like.

A physical quantity such as vibration may reach each sensor unit 11 via a plurality of paths. For example, the vibration caused by the vehicle passing near the fire hydrant 502-2 passes through the pipe between the fire hydrant 502-1 and the fire hydrant 502-2, as shown by “path 1” in FIG. and propagates to the sensor unit 11-1. In addition, as shown in "path 2" of FIG. It propagates to the sensor unit 11-2 via.

Therefore, when the piping between the fire hydrant 502-1 and the fire hydrant 502-2 is to be analyzed, it is necessary to detect the physical quantity such as vibration passing through the route 1.
In this case, it is determined that the detected physical quantity has passed through the route 1 based on the magnitude of cross-correlation, which will be described later. For example, the cross-correlation of the physical quantities detected by the sensor units 11-1 and 11-2 is greater than a predetermined threshold, and the cross-correlation of the physical quantities detected by the sensor units 11-1 and 11-3 exceeds the threshold. It is assumed that the size is such that it does not exceed. In this case, it is determined that the cross-correlation of the physical quantities detected by the sensor units 11-1 and 11-2 is related to the physical quantity via path 1.

Next, each component of the analysis device 100 in this embodiment will be described. In the following description, in the water supply pipe network 500 shown in FIG. , are assumed to be detected by the sensor units 11-1 and 11-2, respectively.

The determination unit 110 determines whether analysis of the state of the piping is necessary based on the cross-correlation of physical quantities. The determination unit 110 determines that analysis of the state of the piping is necessary when the cross-correlation satisfies a predetermined condition. The predetermined condition includes, for example, the case where the magnitude of the maximum cross-correlation value is greater than a predetermined threshold. A condition other than the magnitude of cross-correlation may be used as the predetermined condition.

The determination unit 110 obtains a cross-correlation using physical quantity data sensed in each of the two sensor units 11 during an individually determined time period. The determination unit 110 also obtains the cross-correlation for each of the physical quantity data sensed in a plurality of time periods in each of the two sensor units 11 . Then, when the cross-correlation satisfies a predetermined condition in one of the time zones of each of the two sensor units 11, the determination unit 110 determines that analysis of the state of the piping is necessary.

Calculation and determination of the cross-correlation by determination section 110 will be further described. An example of vibration, which is a physical quantity detected by each of the sensor units 11-1 or 11-2, is shown in FIG. FIG. 5A shows an example of vibration detected by the sensor unit 11-1. FIG. 5B shows an example of vibration detected by the sensor unit 11-2. The vibrations detected by the sensor units 11-1 and 11-2 are different from each other in that they contain noise and the like that are different from the vibrations caused by excitation. In the example shown in FIG. 5, the vibration level is an index indicating the magnitude of vibration such as amplitude. Vibration acceleration, vibration power spectrum density, and the like are used as the vibration level. Also, in the examples of FIGS. 5A and 5B, the horizontal axis indicates the same time.

In this example, it is assumed that the cross-correlation is desired. Let a _k1 be the physical quantity measured during the time width T from the time when the time k1 has passed from the reference time in the sensor unit 11-1. Similarly, let bk2 be the physical quantity measured by the sensor unit 11-2 during the time interval T when the time _k2 has elapsed from the reference time. A time such as 60 seconds is used as the time width T, for example. However, the time width T is not limited to this, and a different time may be determined according to the type of piping or the detection unit 1111 of the sensor unit 11, or the like.

The time of each sensor unit 11-1 or 11-2 may be an absolute time obtained by receiving a GPS (Global Positioning System) signal or the like, or a relative time obtained based on other reference signals. It's okay. The time of each sensor unit 11-1 or 11-2 may not be synchronized.

In this case, determination section 110 obtains the cross-correlation using the following equation (1). In the following equation (1), t represents the time width to be cross-correlated, and τ represents the time difference between two physical quantities. That is, when the physical quantity data of the time width T described above is used, t in the equation (1) corresponds to the time width T.

FIG. 6 is an example of the obtained cross-correlations. In FIG. 6, the horizontal axis represents the time difference between a _k1 and b _k1 , and the vertical axis represents the magnitude of cross-correlation.

Determining section 110 obtains the maximum value of cross-correlation R(τ) obtained using equation (1). The maximum value is denoted as R _max . Then, determination section 110 assumes that the above-described predetermined condition is satisfied when _Rmax , which is the maximum value of cross-correlation, exceeds the threshold. That is, the determination unit 110 determines that analysis of the state of the pipe is necessary when R _max exceeds the threshold.

A value of 0.5, for example, is used as the threshold value. However, the threshold value is not limited to this value, and may be determined as appropriate according to the type of target pipe, the detection unit 1111 of the sensor unit 11, and the like.

Further, the determination unit 110 may obtain cross-correlation for each of physical quantity data sensed by each of the two sensor units 11 in a plurality of different time periods. That is, the determination unit 110 may change at least one of the above-described time k1 or k2 and obtain again the cross-correlation for the physical quantity data detected in the time width T after the change. That is, the cross-correlation of the physical quantity data detected during the time width T from a plurality of k1 or k2 is obtained. Then, for example, when R _max does not exceed the threshold value, the determination unit 110 obtains the cross-correlation of physical quantity data detected in a plurality of different time periods by each of the two sensor units 11 .

In this case, the determining unit 110 determines the state of the pipe when the maximum value _Rmax of either cross-correlation obtained by changing at least one of the time k1 or k2 satisfies a predetermined condition such as exceeding a threshold value. Determine that analysis is required. In this case, the physical quantity data a _k1 and b _k2 used to obtain the cross-correlation that satisfies the predetermined condition, that is, the R _max exceeds the threshold, are analyzed by the analysis unit 120 . be.

On the other hand, if none of the _maximum values Rmax related to the cross-correlation obtained for all previously assumed combinations of k1 and k2 exceed the threshold, the determination unit 110 determines that analysis of the state of the piping is unnecessary. do. In other words, it is considered that the measured data of the physical quantity such as vibration does not contain the signal to be analyzed.

In this way, the determination unit 110 obtains the cross-correlation of physical quantity data detected in a plurality of different time zones, so that R _max exceeds the threshold value even when the two sensor units 11 are not synchronized in time. It is possible to determine whether That is, synchronization of time in the sensor unit 11 becomes unnecessary. Therefore, in the sensor unit 11, power consumed for time synchronization is reduced.

When the determination unit 110 changes the time k1 or k2 to obtain the cross-correlation, each of the plurality of k1 and k2 is determined individually in the associated sensor unit 11. FIG. Also, the combination of the times k1 and k2, that is, which of the times k1 or k2 is changed, the range of time to be changed, etc., may be appropriately determined according to the target piping or the like. Moreover, it is preferable that each of the plurality of k1 and k2 is determined such that at least a part of the time period of the time width T overlaps with the plurality of k1 and k2.

When changing at least one of the times k1 and k2, the determination unit 110 changes, for example, these times by predetermined times. In this case, the predetermined time may be determined as appropriate according to the pipe or the like to be analyzed.

Further, the determination unit 110 may acquire physical quantity data stored in the storage unit 1105 or the like of the sensor unit 11 each time the time k1 or k2 is changed. Alternatively, the determination unit 110 acquires physical quantity data with a sufficient time width from the sensor unit 11 in advance, and extracts physical quantity data with a necessary time width according to changes in time k1 or k2 from the acquired data. may

The analysis unit 120 analyzes the state of the pipe based on the physical quantity when the determination unit 110 determines that the analysis is necessary. As an example, the analysis unit 120 analyzes the state of the piping based on the resonance frequency of the piping obtained using physical quantities.

The analysis unit 120 analyzes the degree of deterioration of the piping as an example of the state of the piping. Deterioration of piping includes a state in which there is a hole in the piping and fluid such as water flowing inside the piping is leaking, a state in which the wall thickness of the piping is thin, a state in which the piping is weakened due to corrosion, or a state in which the piping is damaged. It includes a state in which the connection state of the part connecting to is loose. Further, other piping conditions may be included in the deterioration of the piping.

As an example, the analysis unit 120 analyzes the state of the piping based on the resonance frequency obtained from physical quantity data such as vibration. As the physical quantity data, the data used in the determination by the determination unit 110 described above, or the like is used. One method of obtaining the resonance frequency by the analysis unit 120 will be described below.

The analysis unit 120 first obtains the frequency response of the mutual response of the physical quantity by Fast Fourier Transform (FFT) or the like for either a _k1 or b _k2 that is data of the physical quantity such as vibration. Then, analysis unit 120 obtains the frequency at which the vibration level peaks in a predetermined frequency range as resonance frequency f. In this case, the analysis unit 120 may average the frequency responses obtained for each of a _k1 and b _k2 to obtain the resonance frequency f. By doing so, the influence of vibrations that are different from physical quantities such as vibrations to be measured can be reduced.

The frequency range is defined, for example, as a range from 300 Hz (Hertz) to 500 Hz. However, the frequency range is not limited to the range described above, and can be appropriately determined according to the type of piping, the assumed state of the piping, and the like.

After obtaining the resonance frequency f, the analysis unit 120 analyzes the state of the pipe based on the resonance frequency f and the reference frequency. As an example, the analysis unit 120 analyzes the state of the piping by comparing the resonance frequency f with a reference frequency.

An example of the reference frequency includes the resonance frequency f0 generally assumed for the same type of pipe as the pipe to be analyzed when deterioration has not occurred. As another example of the reference resonance frequency, a resonance frequency f1 is used that is determined based on the resonance frequency f0 and according to the age, load, etc. of the piping to be analyzed.

The resonance frequency of the piping changes with aging deterioration, the load when the fluid flows through the piping, and the like. Therefore, the analysis unit 120 analyzes the state of the piping using the resonance frequency f1 in addition to the resonance frequency f0. Note that the resonance frequency f1 may be determined based on the amount of change from the resonance frequency f0, or may be determined by prediction using the resonance frequency or the like actually measured for the piping that has been analyzed in the past. may The amount of change in resonance frequency is, for example, the difference between two resonance frequencies.

As an example, the analysis unit 120 analyzes the state of the pipe using the resonance frequency f1 as a threshold. That is, the analysis unit 120 determines at least one of whether the resonance frequency f is higher than the resonance frequency f1 or whether the resonance frequency f is lower than the resonance frequency f1 according to the type of piping. If the resonance frequency f exceeds the resonance frequency f1, that is, if the resonance frequency f is either larger or smaller than the resonance frequency f1, the analysis unit 120 determines that the piping has deteriorated. .

Furthermore, the analysis unit 120 may analyze the state of deterioration of the pipe based on the amount of change in the resonance frequency f with respect to the resonance frequency f0. As an example, the analysis unit 120 analyzes the degree of deterioration of the piping according to the amount of change in the resonance frequency f with respect to the resonance frequency f0. That is, the analysis unit 120 analyzes that the deterioration of the piping is progressing when the amount of change in the resonance frequency f with respect to the resonance frequency f0 is greater than a predetermined threshold value or the like. Also, the analysis unit 120 may analyze the degree of deterioration of the piping according to the magnitude of the variation. For example, the analysis unit 120 determines that the degree of deterioration of the piping is progressing as the amount of change increases.

In the above example, a resonance frequency different from the resonance frequency f0 or f1 may be used as the reference resonance frequency. Also, the analysis unit 120 may analyze the state of the pipe using the reference resonance frequency in a procedure different from the above.

In addition to the resonance frequency, the analysis unit 120 may also analyze the state of the pipe based on information about the state of the pipe. The information about the status of the pipes includes the layout of the pipes, the material of the pipes, the age of the pipes, the past failure history of the pipes, the condition of the soil around the pipes, and the like. In this example, the layout of the pipes includes the position of the pipes to be analyzed in a water pipe network or the like, for example, whether the pipes to be analyzed are at the end of the pipe network. In addition, the information about the condition of piping etc. is also called ledger information. The analysis unit 120 may appropriately change the above-described resonance frequency f1 and the threshold value of the amount of change according to the content of the ledger information. Then, the analysis unit 120 analyzes the state of the pipe based on the changed resonance frequency f1 and the threshold.

Next, operations of the components of the analysis device 100 and the analysis system 10 in this embodiment will be described.

The detection of physical quantity data by the sensor unit 11 is performed as shown in the flowchart shown in FIG. 7 as an example. It is assumed that each sensor unit 11 is assigned a sleep schedule in advance. As an example, the dormancy schedule is determined in consideration of the time error in each of the plurality of sensor units 11 so that the time zones in which the physical quantities are detected generally overlap.

The control unit 1110 determines whether it is the operating time specified in the sleep schedule (step S11). If it is not operating time, that is, if it is in a dormant state (step S11: No), the control unit 1110 repeats the determination in step S11 until it enters an operating state, for example.

When it is the operating time, that is, when the sensor unit 11 is in the operating state (step S11: Yes), the detection unit 1111 of the sensor unit 11 collects physical quantity data (step S12). Prior to the operation of step S12, the time is synchronized between the two sensor units 11 according to the time lag between the two sensor units 11 that are the targets of the cross-correlation calculation. good too.

The collected physical quantity data is appropriately stored in the storage unit 1105 or the like of the sensor unit 11 (step S13).

Also, transmission of the physical quantity detected by the sensor unit 11 to the analysis device 100 is performed as shown in the flowchart of FIG. 8 as an example. The transmission operation shown in FIG. 8 is appropriately performed according to the capacity of the storage unit 1105, for example.

The control unit 1110 determines whether it is the transmission time specified in the sleep schedule or the like (step S21). If it is not time to send, that is, if it is in a dormant state, or if it is in an operating state but it is not time to send (step S21: No), the control unit 1110 repeats the determination in step S21 until it is time to send. conduct.

If it is the transmission time (step S21: Yes), the control unit 1110 transmits the physical quantity data to the analysis device 100 . In this case, the control unit 1110 may transmit the physical quantity data detected in advance and stored in the storage unit 1105, or the detection unit 1111 may detect and transmit the physical quantity data.

Next, an example of the operation of the analysis device 100 according to this embodiment will be described with reference to the flowchart shown in FIG.

First, the determination unit 110 acquires physical quantity data such as vibration data from each of the sensor units 11 (step S101). In step S101, for example, the determination unit 110 acquires physical quantity data detected by the detection unit 1111 of the sensor unit 11 and stored in the RAM 1103 or the storage unit 1105 by appropriately reading the data. Further, the determination unit 110 acquires physical quantity data via the communication unit 1006, for example.

Next, the determination unit 110 calculates a cross-correlation of the physical quantity data and the like acquired in step S101 (step S102). The determination unit 110 calculates the cross-correlation using the formula (1) described above.

Next, determination unit 110 determines whether the cross-correlation obtained in step S102 satisfies a predetermined condition (step S103). As an example, determination section 110 determines whether the magnitude of the maximum value of cross-correlation is greater than a predetermined threshold.

If the cross-correlation satisfies the predetermined condition (step S103: Yes), the analysis unit 120 analyzes the state of the piping (step S104). The analysis unit 120 obtains the resonance frequency from the physical quantity data acquired in step S101. Then, the analysis unit 120 analyzes the state of the piping based on the resonance frequency.

On the other hand, if the cross-correlation does not satisfy the predetermined condition (step S103: No), the determination unit 110 returns to step S101 and continues the process. In the processing of steps S101 and S102 in this case, the determination unit 110 may acquire the physical quantity data again from each of the sensor units 11 and obtain the cross-correlation. Further, the determination unit 110 may obtain the cross-correlation using the physical quantity data measured in different time zones for at least one sensor unit 11 among the physical quantity data acquired in step S101 previously executed. good.

As described above, the analysis device 100 according to the first embodiment of the present invention analyzes the state of piping based on data of physical quantities such as vibration detected by the sensor unit 11 . Whether analysis is necessary or not is determined by the determination unit 110 based on the magnitude of the maximum cross-correlation value. The cross-correlation is obtained based on the physical quantities detected by the two sensor units 11 respectively during predetermined time periods. Further, the determining unit 110 obtains the cross-correlation based on the data of the physical quantity obtained by changing the time zone for detecting the physical quantity in the two sensor units.

By doing so, it is determined whether or not to analyze the state of the pipe without requiring time synchronization between the sensor units 11 . That is, time synchronization between the sensor units 11 is no longer essential. Therefore, the analysis device 100 reduces the amount of power consumed by the sensor unit 11 .

(Second embodiment)
Next, a second embodiment of the invention will be described. FIG. 10 is a diagram showing an analysis device 200 according to the second embodiment.

As shown in FIG. 10, the analysis device 200 according to the first embodiment of the present invention includes a determination section 110, a time synchronization section 230, and an analysis section 220. FIG. The determination unit 110 operates in the same manner as the determination unit 110 included in the analysis device 100 in the first embodiment. The time synchronization unit 230 controls to synchronize the time of the multiple sensor units 11 . In addition, when analysis is determined to be necessary, the analysis unit 220 analyzes the state of the pipe based on the propagation speed and resonance frequency of vibration propagating through the pipe, which are obtained using physical quantities.

That is, the analysis device 200 is provided with the time synchronization unit 230, and the analysis unit analyzes the state of the pipe based on the propagation speed of the vibration propagating through the pipe in addition to the resonance frequency of the pipe. It differs from the analyzer 100 in the embodiment. Otherwise, the analysis device 200 has the same configuration as each of the analysis devices 100 in the first embodiment.

In addition, similarly to the analysis system 10 in the first embodiment, as shown in FIG. 11, an analysis system 20 including an analysis device 200 is configured. Analysis system 20 includes sensor unit 11 and analysis device 200 . The number of sensor units 11 is not particularly limited. Each of the sensor units 11 and the analysis device 200 are implemented by the hardware configuration or the like shown in FIG.

Next, each component of the analysis device 200 in this embodiment will be described.
It should be noted that descriptions of elements that are the same as the constituent elements of the analysis apparatus 100 in the first embodiment will be omitted as appropriate.

The time synchronization unit 230 controls at least two sensor units 11 among the sensor units 11 included in the analysis system 20 to synchronize their time. The time synchronization unit 230 controls to perform time synchronization when the determination unit 110 determines that the cross-correlation satisfies a predetermined condition, such as when the magnitude of the cross-correlation exceeds a threshold value.

Of the sensor units 11-1 to 11-N, the time synchronization unit 230 synchronizes the two sensor units 11 that have measured physical quantities for which the determination unit 110 determines that the cross-correlation satisfies a predetermined condition. Note that the time synchronization unit 230 may perform control so as to synchronize the time of another sensor unit 11 that is different from the two sensor units 11 . For example, the time synchronization unit 230 may synchronize all of the sensor units 11-1 to 11-N, or may synchronize the sensor units 11 adjacent to the two sensor units 11 described above.

Any known method is used as a control method when the time synchronization unit 230 synchronizes the times of the two sensor units 11 .

The analysis unit 220 analyzes the state of the pipe based on the propagation speed and resonance frequency of vibration propagating through the pipe. The propagation speed of the vibration propagating through the pipe is the propagation speed of the pipe 501 between the two sensor units 11 time-synchronized by the time synchronization unit 230 . Note that the propagation speed of vibration propagating through a pipe is sometimes called the sound speed of the pipe. Further, in the following description, the propagation velocity of vibration propagating in piping may be simply referred to as propagation velocity.

By synchronizing the times in the two sensor units 11, for example, the arrival time difference between the two sensor units 11 when the vibration generated in the piping reaches the two sensor units 11 is obtained. Based on the arrival time difference, the time required for the vibration to propagate between the two sensor units 11 of the pipe 501 is obtained. Then, by dividing the distance along the pipe 501 between the two sensor units 11 by the time, the propagation velocity described above is obtained.

Note that the arrival time difference is obtained, for example, after time synchronization is performed. In this case, the sensor unit 11 detects the vibration caused by vibrating the pipe 501 or the like, and the time difference is obtained.

The analysis unit 220 analyzes the state of the pipe 501 based on one or both of the propagation speed of vibration propagating through the pipe 501 and the resonance frequency obtained as described above. When analyzing the state of the pipe based on the resonance frequency, the analysis unit 220 performs analysis in the same manner as the analysis unit 120 in the first embodiment.

When analyzing the state of the pipe based on the propagation speed of vibration propagating through the pipe, the analysis unit 220 analyzes based on the obtained propagation speed c and the reference propagation speed c0. As the reference propagation velocity c0, for example, the propagation velocity of the same type of piping as the analysis target piping when deterioration has not occurred is used.

In addition, the propagation speed of vibration propagating through the pipe changes according to the age, the load when the fluid flows through the pipe, and the like, like the resonance frequency. Therefore, as the reference propagation velocity c0, a propagation velocity that is determined according to age, the load when the fluid flows inside, or the like may be used. In this case, the propagation velocity c0 is determined using the propagation velocity or the like actually measured for the piping that was analyzed in the past.

The analysis unit 220 analyzes the state of the pipe based on the amount of change in the propagation speed c from the propagation speed c0. For example, the analysis unit 220 analyzes that the degree of deterioration of the analysis target pipe is progressing when the amount of change in the propagation speed c from the propagation speed c0 is large compared to a predetermined threshold.

The analysis unit 220 may also obtain and evaluate the thickness and Young's modulus of the pipe using the propagation speed and resonance frequency of vibration propagating through the pipe. In this case, the analysis unit 220 obtains the wall thickness and Young's modulus of the pipe based on the amount of change from the reference value of the propagation velocity and resonance frequency.

Furthermore, like the analysis unit 120, the analysis unit 220 may analyze the state of the pipe by combining the above-described ledger information in addition to the propagation speed or resonance frequency of vibration propagating through the pipe. For example, the analysis unit 220 may appropriately change the above-described threshold regarding the amount of change based on the ledger information.

Next, an example of the operation of the analysis device 200 according to this embodiment will be described with reference to the flowchart shown in FIG.

First, the determination unit 110 acquires physical quantity data such as vibration data from each of the sensor units 11 (step S201).

Next, the determination unit 110 calculates the cross-correlation of the vibration data and the like detected by the two sensor units acquired in step S201 (step S202).

Next, determination unit 110 determines whether the cross-correlation obtained in step S202 satisfies a predetermined condition (step S203). Determining section 110 determines whether the cross-correlation is greater than a predetermined threshold.

The operations from steps S201 to S203 are the same as the operations from steps S101 to S103 of the analyzer 100 in the first embodiment.

Subsequently, when the cross-correlation satisfies a predetermined condition (step S203: Yes), the time synchronization unit 230 time-synchronizes the two sensor units 11 that detect physical quantities in the piping to be analyzed. Of the sensor units 11-1 to 11-N, the time synchronization unit 230 selects two sensor units 11 that have detected a physical quantity whose cross-correlation satisfies a predetermined condition in the analysis unit step S203 as targets for time synchronization. do.

Subsequently, the analysis unit 220 analyzes the state of the piping (step S205). The analysis unit 120 obtains the propagation speed and resonance frequency of vibration propagating through the pipe from the physical quantity data and the like acquired in step S201, and analyzes the state of the pipe based on the resonance frequency. In this step, physical quantity data may be acquired as necessary.

Note that if the cross-correlation does not satisfy the predetermined condition (step S203: No), the determination unit 110 returns to step S201 and continues the process.

As described above, the analysis device 200 and the analysis system 20 according to the second embodiment of the present invention analyze the state of piping based on the propagation speed and resonance frequency of vibration propagating through the piping. Therefore, compared with the analysis device 100 in the first embodiment, the analysis device 200 enables highly accurate analysis of the state of piping.

Further, in the analysis system 20, time synchronization of the sensor unit 11 may be performed. However, time synchronization is performed when the magnitude of cross-correlation satisfies a predetermined condition. That is, time synchronization is performed when it is determined that analysis of the state of piping is necessary. If the magnitude of the cross-correlation does not satisfy the predetermined condition and analysis of the state of the piping is not required, the time of the sensor unit 11 remains unchanged.

Therefore, compared to the case where the time synchronization of the sensor units 11 is always performed, the power consumption by the sensor units 11 is reduced in the analysis system 20 .

Although the present invention has been described with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. Also, the configurations in each embodiment can be combined with each other without departing from the scope of the present invention.

Although part or all of the present invention is represented by the following additional remarks, it is not limited thereto.

(Appendix 1)
Determination means for determining whether analysis of the state of the pipe is necessary based on the cross-correlation of the physical quantities detected by the two sensors respectively during predetermined time periods;
analysis means for analyzing the state of the piping based on the physical quantity when the analysis is determined to be necessary;
Analyzer with

(Appendix 2)
Supplementary note 1, wherein the determination means determines whether the analysis is necessary based on the cross-correlations obtained for the physical quantities detected by each of the sensors in a plurality of different time periods. analyzer.

(Appendix 3)
3. The analyzer according to appendix 1 or 2, wherein the determination means determines that the analysis is necessary when the magnitude of the cross-correlation satisfies a predetermined condition.

(Appendix 4)
The analysis apparatus according to appendix 2, wherein the determination means determines that the analysis is necessary when the magnitude of the cross-correlation exceeds a predetermined threshold.

(Appendix 5)
The determination means is configured such that, of the cross-correlations obtained for the physical quantities detected by the sensors in a plurality of different time periods, at least one cross-correlation magnitude satisfies a predetermined condition. 5. The analysis device according to any one of appendices 2 to 4, wherein the analysis device determines that the analysis is necessary in some cases.

(Appendix 6)
6. The analyzer according to any one of additional notes 1 to 5, wherein the analysis means analyzes the state of the pipe based on the resonance frequency of the pipe obtained using the physical quantity.

(Appendix 7)
7. The analyzer according to appendix 6, wherein the analysis means analyzes the state of the pipe by comparing the resonance frequency with a reference resonance frequency.

(Appendix 8)
8. The analysis device according to any one of additional notes 1 to 7, wherein the analysis means determines that the pipe is degraded when the resonance frequency exceeds the reference resonance frequency.

(Appendix 9)
9. The analyzer according to any one of additional notes 1 to 8, wherein the analysis means analyzes the state of the pipe based on the amount of change in the resonance frequency from the reference resonance frequency.

(Appendix 10)
A time synchronization means for controlling time synchronization of the plurality of sensor units,
10. The analyzer according to any one of additional notes 1 to 9, wherein the analysis means further analyzes the state of the pipe based on the propagation speed of vibration propagating through the pipe, which is the physical quantity.

(Appendix 11)
11. The analyzer according to any one of appendices 1 to 10, wherein the analysis means analyzes the state of the pipe based on information about the state of the pipe.

(Appendix 12)
12. The analyzer according to any one of appendices 1 to 11, wherein the physical quantity is vibration propagating through the pipe.

(Appendix 13)
a plurality of sensor units that detect the physical quantity;
13. An analysis system comprising: the analysis device according to any one of appendices 1 to 12, which performs determination and analysis based on the physical quantity detected by each of the plurality of sensor units.

(Appendix 14)
Based on the cross-correlation of the physical quantities detected by the two sensors in each predetermined time period, it is determined whether analysis of the state of the piping is necessary,
analyzing the state of the piping based on the physical quantity when the analysis is determined to be necessary;
Analysis method.

(Appendix 15)
to the computer,
A process of determining whether analysis of the state of the pipe is necessary based on the cross-correlation of the physical quantities detected by the two sensors in each predetermined time period;
a process of analyzing the state of the piping based on the physical quantity when the analysis is determined to be necessary;
program to run.

10 Analysis System 11 Sensor Unit 100 Analyzer 110 Determination Unit 120, 220 Analysis Unit 1001, 1101 CPU
1002, 1102 ROMs
1003, 1103 RAM
1004, 1104 Program 1005, 1105 Storage Unit 1006, 1106 Communication Unit 1008, 1108 Bus 1110 Control Unit 1111 Detection Unit 1112 Battery

Claims (9)

For each combination of two sensors out of the two or more sensors, using the physical quantities detected by the two or more sensors in each defined time period, the two sensors included in the combination are detected Determination means for determining whether analysis of the degree of deterioration of piping is necessary based on the cross-correlation of the physical quantities ;
Time synchronization means for controlling time synchronization of sensors included in the combination determined to require the analysis when the analysis is determined to be required based on the cross-correlation of the physical quantities of any of the combinations. When,
analysis means for analyzing the degree of deterioration of the pipe based on the amount of change in the propagation speed of the vibration propagating through the pipe, which is the physical quantity detected by the time-synchronized sensor ;
with
The deterioration of the piping is a state in which the piping has become brittle due to corrosion, or a state in which the connection state of the portion to which the piping is connected has become loose. The determination means determines whether the analysis is necessary based on the cross-correlations obtained for the physical quantities detected by each of the two or more sensors in a plurality of different time zones.
The analyzer according to claim 1. 3. The analyzer according to claim 1, wherein said determination means determines that said analysis is necessary when the magnitude of said cross-correlation satisfies a predetermined condition. The determination means determines that the analysis is necessary when the magnitude of the cross-correlation obtained for the physical quantities detected by the two sensors included in the combination satisfies a predetermined condition. , Analytical apparatus according to claim 2 or 3. The analyzer according to any one of claims 1 to 4, wherein said analysis means analyzes the degree of deterioration of said piping based on the resonance frequency of said piping obtained using said physical quantity. The analysis device according to any one of claims 1 to 5 , wherein the physical quantity is vibration propagating through the pipe. a plurality of sensor units that detect the physical quantity;
The analysis system according to any one of claims 1 to 6 , wherein the determination and the analysis are performed based on the physical quantity detected by each of the plurality of sensor units. For each combination of two sensors out of the two or more sensors, using the physical quantities detected by the two or more sensors in each defined time period, the two sensors included in the combination are detected Based on the cross-correlation of the physical quantities , determine whether analysis of the degree of deterioration of the piping is necessary,
When it is determined that the analysis is necessary based on the cross-correlation of the physical quantities of any of the combinations, the sensors included in the combination determined to require the analysis are controlled to perform time synchronization;
analyzing the degree of deterioration of the pipe based on the amount of change in the propagation speed of the vibration propagating through the pipe, which is the physical quantity detected by the time-synchronized sensor ;
The deterioration of the piping is a state in which the piping has become brittle due to corrosion, or a state in which the connection state of the portion to which the piping is connected has become loose. to the computer,
For each combination of two sensors out of the two or more sensors, using the physical quantities detected by the two or more sensors in each defined time period, the two sensors included in the combination are detected A process of determining whether analysis of the degree of deterioration of the piping is necessary based on the cross-correlation of the physical quantities ;
When it is determined that the analysis is required based on the cross-correlation of the physical quantities of any of the combinations, time synchronization processing for controlling time synchronization of the sensors included in the combination determined to require the analysis. When,
A process of analyzing the degree of deterioration of the pipe based on the amount of change in the propagation speed of the vibration propagating through the pipe, which is the physical quantity detected by the time-synchronized sensor ;
and
The deterioration of the piping is a state in which the piping has become brittle due to corrosion, or a state in which the connecting portion of the piping has become loose.

Images