KR20210032373A - Water leak detection system - Google Patents

Abstract

The present invention relates to a water leak detection system which can determine whether water leaks from an underground pipeline regardless of the skill level of an operator, can minimize a discrimination error caused by temporary external noise, can quickly find out at which point a water leak has occurred, can determine whether a water leak occurs even when water is leaking at a new measurement location, and requires no measurement device for every underground pipeline. The water leak detection system comprises: a sound sensor for generating a measured value by measuring the underground pipeline or a sound around the underground pipeline; a control terminal for receiving the measured value from the sound sensor and transmitting facility information, corresponding to the location coordinates of a place where the measured value is generated, to the outside together with the measured value; and a server for determining that a water leak has occurred if the difference between the measured value transmitted from the control terminal and stored data is greater than or equal to a set value.

Description

Water leak detection system

The present invention relates to a leak detection system, and more particularly, it is possible to determine whether there is a leak in an underground pipeline regardless of the skill level of an operator, it is possible to minimize the discrimination error due to temporary external noise, and the leak at any point It relates to a leak detection system that can quickly find out whether or not has occurred, can determine whether there is a leak even when a leak is already in progress at a new measurement location, and do not have to have a measuring device for every underground pipeline.

Water supply pipes are buried and operated in the ground, and they are damaged by earthquakes, settlements, and pressure from the top, causing water leakage. In particular, since these water supply pipes are often located under the road, there is a problem of being damaged due to continuous pressure according to the passage of the vehicle.

The leakage of the water supply pipe causes various problems such as waste of water resources and weakening of the ground in the leaked area, so it is important to quickly repair the leaked area.

However, since most of the water supply pipes are buried in the ground, conventionally, one end of a rod-shaped listening bar was in contact with the ground and the other end was plugged into the ear to check whether there was a leak through the underground noise propagating through the listening bar.

However, such a method using a hearing stick has a problem that a skilled worker is absolutely necessary, such as a false positive rate of 10% to 80% depending on the skill level of the worker.

Therefore, it is necessary to develop a leak detection system capable of performing leak detection tasks even by non-experts and accurately analyzing leak sound.

KR20-0355166 (registration number) 2004.06.24.

An object of the present invention is to provide a leak detection system capable of determining whether or not there is a leak in an underground pipeline regardless of the skill level of a worker.

In addition, an object of the present invention is to provide a leak detection system capable of minimizing a discrimination error caused by temporary external noise.

In addition, an object of the present invention is to provide a leak detection system capable of quickly finding out whether or not a leak has occurred at a certain point.

In addition, an object of the present invention is to provide a leak detection system capable of determining whether there is a leak even when a leak is already in progress at a new measurement location.

In addition, an object of the present invention is to provide a leak detection system that does not require a measuring device for every underground pipeline.

The present invention, the sound sensor for generating a measurement value by measuring the sound around the underground pipe or the underground pipe; A control terminal receiving a measurement value from the hearing sensor and transmitting facility information corresponding to a location coordinate of a place where the measurement value is generated, together with the measurement value; Including a server that determines that a leak has occurred when a difference between the measured value transmitted from the control terminal and a set value exceeds the stored data; including, the hearing sensor is installed on the ground or in the ground where the underground pipeline is buried And a road surface sensor that measures ambient sound, or a hearing-eum-bong sensor that measures sound conducted through the underground pipe by contacting the underground pipe, and the control terminal is a facility within a set radius of the position coordinate The facility information is generated by searching for, and when the facility information is transmitted, the location coordinates are transmitted to the server, and the server matches and stores the measured value with the facility information transmitted from the control terminal, The measured values are accumulated and stored as a pattern, and if the newly transmitted measured value differs from the stored pattern by more than a set range, the measured value is classified as an abnormal situation, and the number of times classified as an abnormal situation is continuous more than the set number within the set time. If so, it is determined that a leak has occurred.

In addition, the server of the present invention, when it is determined that a leak has occurred, generates and stores the leak sound information for each pipe type based on the facility information, and the leak sound corresponding to the pipe type extracted based on the facility information at the new measurement location. The information is applied as an initial pattern for classification of abnormal situations at the new measurement location.

In addition, the present invention includes a sound transmission device for emitting sound waves to the underground pipeline, wherein the server accumulates the peak interval or peak value of the measured value transmitted from the control terminal and stores it as a pattern, and newly If the peak interval of the transmitted measured value or the peak value differs by more than the set range from the stored pattern, the measured value is classified as an abnormal situation.

In addition, the server of the present invention measures the measured value for pattern formation when the measured value newly transmitted from the control terminal differs by more than a set range from the stored pattern is less than the set number of times or is not continuous within a set time. It is not accumulated as a value.

In the present invention, since it is possible to determine whether or not there is a leak based on a measured value measured from a sound sensor, there is an effect of being able to determine whether or not there is a leak in an underground pipeline regardless of the skill level of an operator.

Further, according to the present invention, since the measured value can be compared with the accumulated leak sound data in the past, and whether or not there is a similarity, it is possible to determine whether or not there is a leak, so that a discrimination error due to temporary external noise can be minimized.

Further, according to the present invention, since the measured value is matched to the location information and stored, it is possible to quickly find out whether or not the leak has occurred at any point.

In addition, according to the present invention, since the measured value is matched to the facility information and stored, it is possible to determine whether there is a leak even when a leak is already in progress at a new measurement location.

In addition, according to the present invention, it is possible to accumulate measured values and determine whether there is a leakage even by performing measurement only at a location corresponding to the location information using a portable sensor and a portable terminal. Therefore, it is not necessary to have a measurement device for every underground pipeline. It works.

1 is an exemplary diagram of a leak detection system according to an embodiment of the present invention.
2 is a state diagram of use of a road surface sensor of the system for detecting whether there is a leak according to an embodiment of the present invention.
3 is a state diagram of the use of a hearing stick sensor of the leak detection system according to an embodiment of the present invention.
4 is an exemplary view in which a measurement location and a measurement value of a leak detection system according to an embodiment of the present invention are matched.
5 is a flow chart of a leak detection system according to a first embodiment of the present invention.
6 is an exemplary diagram illustrating a leak sound analysis process of the leak detection system according to the first embodiment of the present invention.
7 is a flow chart of a leak detection system according to a second embodiment of the present invention.
8 is a flow chart of a leak detection system according to a third embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

In the present invention, as shown in Figs. 1 to 8, an audible sound sensor 100 for generating a measured value by measuring sound around an underground pipe or an underground pipe, and receiving a measured value from the listening sensor 100, The control terminal 200 that transmits facility information corresponding to the location coordinates of the place where the measured value is generated to the outside together with the measured value, and the data stored in the measured value transmitted from the control terminal 200 and the set value abnormally occur. If so, it is configured to include a server 300 that determines that a leak has occurred.

The hearing sensor 100 serves to measure the road surface noise or underground noise of the area where the underground pipeline is buried, or measure the noise of the pipeline by directly contacting the pipeline itself, a water meter, a valve, or the like.

The listening sensor 100 transmits the measured value to the control terminal 200, and the measured value is transmitted to the server 300 through the control terminal 200.

First, the hearing sensor 100 may be configured in the form of a road surface sensor 110 for measuring road surface or underground noise. The road surface sensor 110 is portable and may be mounted on an upper road surface in which the pipeline is buried and may measure the noise of the underground pipeline transmitted to the road surface.

One side of the road surface sensor 110 is provided with a terminal for connection with the control terminal 200 and communicates with the control terminal 200 using the signal line 101, and connects with the control terminal 200 as necessary, or You can release the connection.

The road surface sensor 110 includes a sensor housing 112 in which a sensing module 111 is embedded, a road surface sound transmission plate 113 provided on an inner lower surface of the sensor housing 112, and a road surface sound transmission plate 113 The upper end is in contact and the lower end is configured to protrude downward from the sensor housing 112 to include a road surface sound transmission pin 114 provided to be in contact with the ground. Therefore, the road surface sound is transmitted to the sensing module 111 through the road surface sound transmission pin 114 and the road surface sound transmission plate 113 simply by simply seating the road surface sensor 110 on the ground without the need to separately mount or insert the road surface sensor 110 on the ground. It can be easily reached.

On the other hand, the road surface sensor 110 may also be configured in a form buried in the ground together with the control terminal 200. In this case, since the measured value can be transmitted to the server 300 in real time, there is an advantage in that the measurement value pattern can be accurately formed by accumulating more measured values. In this case, a solar cell module or a commercial post power supply for supplying power to the road surface sensor 110 and the control terminal 200 may be provided.

Next, the hearing sensor 100 may be configured in the form of a hearing bar sensor 120. The hearing rod sensor 120 directly contacts the pipe itself, a water meter, a valve, etc. to measure noise directly transmitted through the pipe, and may be configured in the form of a rod contacting the pipe or parts of the pipe.

A terminal for connection with the control terminal 200 is provided on one side of the listening rod sensor 120, and the listening rod sensor 120 may be connected to or disconnected from the control terminal 200 as necessary. At this time, the hearing-eumbong sensor 120 may be communicated with the control terminal 200 through the signal line 101, similar to the road surface sensor 110.

The listening rod sensor 120 includes a listening rod 122, a magnetic pin 123 coupled to the other end of the listening rod 122, a sensing module 121 in contact with one end of the listening rod 122, and sensing It is configured to include a connection terminal electrically connected to the module 121. The listening bar sensor 120 can easily maintain a state in contact with a pipe made of a metal material or a part of the pipe through a magnetic pin 123 provided at the other end. In addition, a plurality of listening rods 122 are assembled in the longitudinal direction, and the length can be appropriately changed according to the distance to a pipe or a part of the pipe to be listened to by adjusting the number of the listening rods 122 to be assembled. There is an advantage to be able to.

On the other hand, it is also possible to be configured in the form of attaching and installing the auditory stick sensor 120 together with the control terminal 200 on a pipe or an accessory portion of the pipe. In this case, since the measured value can be transmitted to the server 300 in real time, there is an advantage in that the measurement value pattern can be accurately formed by accumulating more measured values. In this case, a solar cell module or a commercial post power supply for supplying power to the hearing stick sensor 120 and the control terminal 200 may be provided.

The control terminal 200 serves to receive a measurement value from the listening sensor 100 and transmit the received value to the external server 300.

To this end, the control terminal 200 is configured in a form that can be connected to the hearing sensor 100, that is, the road surface sensor 110 or the hearing rod sensor 120, and a wireless transmission/reception unit for external transmission of the measured value is further provided.

First, the control terminal 200 may be configured in a form that can be carried by an administrator. In this case, the control terminal 200 may be any type of mobile device capable of wireless transmission/reception such as a smartphone, a tablet PC, or a tablet, and connection of an external device. In this case, the road surface sensor 110 or the hearing-eum sensor 120 ) And wired connection as well as wireless connection such as Bluetooth is possible.

In this case, the control terminal 200 may not refer to only one device such as a smartphone, but may be a concept including a modular device equipped with such a mobile device. The modular device includes the form of a cradle equipped with an auxiliary battery or a form in which an external GPS device is combined. When the control terminal 200 is in the form of a cradle, the control terminal 200 includes a main body 210 and a cradle 220 that is coupled to one side of the main body 210 to mount a mobile device such as a smartphone. It is composed of. Inside the main body 210, a GPS module 211 for acquiring position coordinates, a rechargeable battery 212, a short-range communication module 213, and a signal amplification module 214 are provided, and a road surface is provided on one side of the main body. A connection terminal 215 for connection with the sensor 110 or the listening bar sensor 120 is provided, and a signal transmission button 216 for external transmission of the measured value is provided. Meanwhile, a charging terminal 217 for charging the rechargeable battery 212 and an earphone terminal 218 may be provided on the other side to directly listen to the measured noise.

In addition, the control terminal 200 transmits the measured value to the server 300 and at the same time transmits the location information at the time of the measurement to the server 300. Due to this configuration, measurements were made at a certain location, and comparison with past measurement data at that location becomes possible. Furthermore, the control terminal 200 may transmit not only location information but also facility information of a corresponding location to the server 300. The facility information may be information that can confirm the pipe type, buried type, or buried standard of a pipeline such as a building name, landmark, and residential type. As shown in FIG. 5, if the facility can be visually checked in the nearest distance to the corresponding location, but the facility information is not searched, the facility information may be registered from the control terminal 200 by itself. In this case, since the facility information registered from the control terminal 200 can only input approximate information borrowed from the facility information of other similar facilities for the pipe type applied to the facility, such as the building size and the building type, the server 300 When the facility information registered from the control terminal 200 is officially obtained in the future, it is preferable to store the information in place of the facility information registered from the control terminal 200.

Meanwhile, the control terminal 200 may be configured in a form of being embedded in the ground or attached to a pipeline together with the road surface sensor 110 or the listening bar sensor 120 in addition to being configured in a portable form as described above. In this case, it is preferable to receive power from solar light or a column type commercial power source, not a rechargeable battery such as a portable.

In addition, in this case, the control terminal 200 may be configured in a form that not only transmits the measurement value and location information to the server 300, but also receives a control signal such as a measurement interval from the server 300 and performs this. In addition, in this case, the control terminal 200 transmits a signal notifying the failure of the sensor to the server 300 when a measured value is not input from the road surface sensor 110 or the listening bar sensor 120 so that quick maintenance can be performed. Can be.

In the first embodiment of the present invention, as shown in FIGS. 5 and 6, the server 300 receives and stores the measured values of the listening sensor 100, the location coordinates of the measurement place, and facility information from the control terminal 200. After converting the measured value to frequency data, it generates an effective range frequency excluding frequencies other than the frequencies that correspond to the frequency range of the suspected leak area set based on the past leakage sound data among the frequency data. A set number of frequencies with amplitude are selected and selected as a discrimination target frequency, and if the average value of applying a weight set based on past leakage sound data to the discriminating target frequency is greater than or equal to the set value, it is determined that a leak has occurred.

To this end, the server 300 receives the measured value of the hearing sensor 100 from the control terminal 200. At this time, the measured value is matched with the location coordinate of the place where the measured value is generated or the facility information of the facility within a set radius from the corresponding location coordinate and stored in the server 300.

Since the measured value transmitted to the server 300 is data of sound measured from the hearing sensor, it has a waveform shape that varies in time series. This time-series waveform has a noise component added to the leakage sound component, causing distortion of the waveform, so it is difficult to separate it into a noise component and a leakage sound component, and also, it is difficult to extract a specific pattern, so it is necessary to transform it into a frequency-series waveform. . Fast Fourier Transform (FFT) is used to transform the frequency sequence. In the FFT, the amplitude of each sine wave can be specified for each frequency in a waveform in which several sine waves of different frequencies are overlapped. Since the FFT is a well-known technique, detailed formulas will be omitted.

The server 300 converts time series data into frequency data by performing FFT from the transmitted measurement values. And, based on the stored facility information matched with the corresponding measured value, the effective range frequency is generated based on the past leakage sound data corresponding to the pipe type included in the corresponding facility information. The effective range frequency may be generated differently for each pipe type included in the facility information, and the current measured value is based on the stored leakage sound data matched to the previously measured facility and pipe type information having information similar to the measured facility and pipe type. The leaked sound data in the past is classified as data related to the leaking sound in which frequency range in which pipe type of a facility, and thus, the server 300 corresponds to the suspected leaking area among the frequency data converted from the currently measured measurement value. An effective range frequency is generated by filtering frequencies other than the frequency, and a classification module is provided for this purpose. The classification module classifies the pipe type applied to the facility based on the facility information, and classifies the effective range frequency corresponding to the classified pipe type from the measured values matched with the newly transmitted facility information. That is, the classification module serves to remove a noise component not related to the leak sound from a newly measured value using past leak sound data.

In addition, the server 300 selects the frequencies of the upper set number in the order of the largest amplitude among the effective range frequencies generated from the classification module, and selects them as the discrimination target frequency. This means that the sound at the measurement point is a mixture of living noise, water leakage, noise from heavy trucks or construction site equipment, among which the noise from leaking and different frequency ranges is excluded as noise from the classification module. The fricative sound of water flowing through a pipe with a somewhat similar range was conceived because the amplitude was relatively smaller than that of the leakage sound. That is, it would be more accurate to calculate all sample frequencies by multiplying the weights, but for quick calculation and update of the weights, the leak is determined based on a number of frequencies with a large amplitude among the frequencies in the leak suspicious region. To this end, the server 300 is provided with a selection module, and the frequency to be determined selected by the selection module is used as an input variable to be multiplied by the weight extracted from the extraction module to obtain a weighted average value.

Next, the server 300, based on the pipe type data classified by the classification module and the identification target weight selected by the selection module, among the number of frequencies to which the identification target frequency belongs among the weights for each input variable classified for each frequency section in the corresponding pipe type. Extract the weights. And, an extraction module is provided to perform this process. That is, the server 300 stores weights for each pipe type and for each frequency section in each pipe type, and the extraction module corresponds to the pipe type data classified by the classification module among the weights for each frequency section stored for each pipe type. The weight is matched to the frequency section to which is belong and extracts the stored weight.

Then, the server 300 sets the frequency to be determined as an input variable, and calculates a weighted average value by applying a weight to each input variable. To this end, the server 300 is provided with a calculation module, and the calculation module calculates a weighted average value by applying a weight extracted from the extraction module to a frequency to be determined as an input variable. In this case, there are more cases where not only one pipe type is applied to the facility, but multiple pipe types are applied in combination, and the pipe type data classified by the classification module from the facility information may be composed of a plurality. Therefore, when calculating the weighted average value from the classification module, the selection module, the extraction module, and the calculation module, the server 300 may calculate the weighted average value for a plurality of pipe types, not only for any one pipe type. In this case, obviously, the range of the effective range frequency for each tube type, the value of the frequency to be determined accordingly, the value of the weight, etc. are formed differently, but it is not excluded that they have the same value due to coincidence.

The server 300 determines that a leak has occurred when the weighted average value calculated by the calculation module is greater than or equal to the set value. At this time, whether there is a leak is finally verified by the manager directly exploring the measured location determined as a leak and proceeding with the construction.If the server 300 determined it as a leak, the manager directly constructed the location, but it is not a leak. If it is confirmed that it is desirable to destroy or change the weight of the corresponding frequency section of the relevant pipe type determined as a leak.

On the other hand, when the weighted average value calculated from the calculation module is less than the set value, the server 300 determines that no leakage has occurred, but even though the actual leakage has occurred, there may be cases in which past leakage sound data is insufficient and thus it may be misjudged. To do this, a second leak determination process is carried out.

In the process of determining the first leak described above, the leak of information about the facility currently being measured and the information about the type of pipe was determined by using the data of the leaked sound from other locations corresponding to the information of the facility and the type of pipe. However, since the leakage sound can be distorted by the formation material of the ground, the ratio of each formation material, the pavement condition of the road surface, the presence or absence of a large building, etc., even if it is determined that it is not a leakage during the first leakage determination process, it is specialized for the region. As a precautionary measure for leaking sound, the secondary discrimination process is also carried out.

To this end, when the weighted average value is less than the set value, the server 300 generates an effective range frequency based on past leakage sound data existing within the set radius of the measured position coordinates, and selects a frequency to be determined. , The weight is extracted and the weighted average is recalculated. At this time, each process is the same as the first leak determination process, and the past leak sound data is applied as the past leak sound data around the measurement location.

Then, if it is determined that the leakage has occurred as a result of the secondary leakage determination, the server 300 resets the weight of the frequency section including the frequency to be determined. If the process of resetting the weight is repeated, not only the weight information around the location coordinate becomes more accurate, but also the weight information for each pipe type belonging to the facility information at the location coordinate becomes more accurate.

On the other hand, the second embodiment of the present invention, the communication between the listening sensor 100, the control terminal 200, the server 300, the configuration of the listening sensor 100 and measurement value generation, the configuration of the control terminal 200, etc. The basic configuration is the same as that of the first embodiment, and has a modified configuration of an algorithm for determining whether there is a leak in the server 300.

The server 300 receives and stores the measurement value of the hearing sensor 100 from the control terminal 200, forms a measurement value pattern from the accumulated stored measurement value, and whether the newly transmitted measurement value is within the error range of the pattern. It plays the role of discriminating whether or not there is a leak in the pipeline by comparing whether or not.

To this end, the server 300 receives the measured value of the hearing sensor 100 from the control terminal 200. The server 300 accumulates and stores the transmitted measurement values, and forms a measurement value pattern based on the accumulated stored measurement values. As for the measured value pattern, a waveform analyzed in a time series is of course possible, but it is preferable to analyze a waveform that does not have a specific period in a frequency series. To this end, the server 300 converts the measured value into a fast Fourier transform (FFT: Fast Fourier Transform). Transform) to form a pattern.

When the formation of the pattern is completed, the server 300 compares the newly transmitted measurement value with the formed pattern. If there is a difference over the setting range from the pattern in which the newly transmitted measured value is stored, the measured value is classified as an abnormal situation. Such an abnormal situation may be caused by an actual leak, or it may be caused by a large truck passing nearby, a construction site noise, and the like.

Accordingly, the server 300 must determine whether the abnormal situation is due to leakage or temporary noise caused by the surrounding environment. To this end, as shown in FIG. 7, the server 300 is limited to the number of times classified as an abnormal situation, that is, the number of occurrences of a difference over a setting range from a pattern in which a newly measured measurement value is stored is continuous more than the set number of times within a setting time. It is determined that a leak has occurred. That is, measurement errors due to road vibration or noise caused by large vehicles, noise from surrounding construction sites, etc. are temporary, and noise change due to leakage is constantly occurring. For example, if the measured value measured at 1 minute intervals for 10 minutes appears to be an abnormal situation in the 1st, 5th, and 8th rounds, it is determined that this is due to a temporary change in the surrounding environment and is not determined as a leak condition. The measured value is not used as data for pattern formation. On the other hand, if the measured value measured at 1 minute intervals for 10 minutes differs by more than the set range from the 1st to the 10th compared to the pattern by the previously measured value, the current measurement from the previous measurement. It is judged that a leak has occurred between the time points.

On the other hand, the server 300 receives location information and facility information at the time of measurement from the control terminal 200 together, matches the measurement value with this location information or facility information, and stores it. Accordingly, it is possible to compare and analyze the measured values from the past and the currently measured values at the corresponding location. Further, the server 300 generates leakage sound information for each facility or pipe type at a corresponding location through location information and facility information, and when the measurement is first started at a new measurement location, based on the facility information at the new measurement location. Leakage sound information corresponding to the extracted facility type or pipe type can be applied as an initial pattern. In other words, it is a method for enabling a response to a case in which a pipeline at a new measurement location under a similar environment is already leaking.

For example, urban topography of city A, 10 high-rise buildings with more than 20 floors, and 100 shopping malls around the city, with conventional measurement pattern and leakage information, urban topography of city B, 9 high-rise buildings with 20 floors or more. , If there is a new measurement location with 80 nearby shopping malls, the measurement value pattern and leakage sound information of city A can be similarly applied to city B at the beginning. If, in the case of new measurement of city B without such initial pattern information or leakage sound information, if the pipeline of city B has already leaked, the pattern is formed by measuring the sound that is leaking. This is because it is difficult to determine whether there is a leak unless there is a change in the leaked part because it has to be used to determine whether there is a leak.

In addition, the initial pattern and leakage sound information based on the location information and facility information are more subdivided and precise as the measurement cases are repeated, so that the measurement at the new measurement location is also more precise.

At this time, the measured value pattern varies depending on the depth at which the pipe is buried, the geology at the point where the pipe is buried, even if the pipe types or facilities are similar. It is advisable to focus on checking whether or not. Compared to the normal noise of the pipeline, the leakage sound has a relatively characteristic frequency spectrum pattern, so that the new measurement location can only determine whether there is a leak, and from the newly measured measurement value, the measurement value pattern only for that location can be formed. It is desirable to do it. To this end, when it is determined that water leakage has occurred at a certain measurement location, the server 300 generates and stores information on the leakage sound by pipe type or facility at the corresponding location based on the location information and facility information of the measurement location, and stores the new Leakage sound information corresponding to the pipe type or facility extracted based on the facility information at the measurement location is applied as an initial pattern. In this case, it is preferable that the server 300 classifies the measured value as an abnormal situation when the measured value at the new measurement location is within a set range from the leak sound pattern stored as an initial pattern.

On the other hand, depending on the surrounding environment, there may be cases where it is difficult to discriminate only by measuring the noise or leakage sound of such a pipe.

To this end, in the third embodiment of the present invention, in the configuration of the second embodiment of the present invention, a sound transmission device (not shown) for emitting a specific sound wave on a pipe may be further provided.

The sound transmission device sporadically emits a sound of a frequency set on a pipe line every setting period, and serves to measure the echo sound that the emitted sound echoes from a specific part of the pipe line. For this purpose, since the sound transmission device must be directly attached to the pipe or contact the pipe, it is preferable to be used when measuring using the hearing-eum rod sensor 120, and it is also manufactured and utilized integrally with the hearing-eum rod sensor 120. It is possible. Of course, even in this case, the sound transmission device may be installed on a pipe line or be configured as a portable device, similar to the hearing rod sensor 120.

Referring to FIG. 8, the server 300 receives a measured value from the control terminal 200, accumulates a peak interval or peak value of the measured value, and stores it as a pattern. The peak value of the measured value is due to the reverberation of the sound emitted from the sound transmission device, and this reverberation mainly occurs largely at a bending part of a pipe or a coupling part such as a valve. Accordingly, the time at which the emitted sound returns is measured very uniformly in the corresponding pipe, and the server 300 determines whether the pipe is leaked using the size or interval of the echo sound.

For example, after driving the sound transmission device at point A in the past, the peak interval of the measured value measured at 1 second and the peak value steadily continued at 50 to form a pattern, and then the peak interval of the measured value at the time of the current measurement was 0.5. If the peak value was changed to 80 in seconds, it could be suspected that there was a leak in the pipeline, and the sound was greatly reflected from the damaged part and returned. At this time, since noise may be temporarily generated by the surrounding environment, the server 300 classifies the newly measured value as an abnormal situation when the measured value differs by more than a set range from the peak interval or the pattern in which the peak value is stored, It is determined that a leak has occurred only when such an abnormal situation continues more than a set number of times within a set time.

At this time, preferably, frequency spectrum analysis may be performed in parallel to determine whether the peak value of the measured value is a reverberation sound generated by the sound transmission device.

In addition, even in this case, if the number of times classified as an abnormal situation is less than the set number or is not continuous within the set time, it determines this as a temporary external noise, and the measured value at this time is used as data for pattern formation. I never do that.

According to the present invention having the above-described configuration, since it is possible to determine whether there is leakage based on the measured value measured from the hearing sensor 100, there is an effect of determining whether there is leakage in the underground pipe regardless of the skill level of the operator.

Further, according to the present invention, since the measured value can be compared with the accumulated leak sound data in the past, and whether or not there is a similarity, it is possible to determine whether or not there is a leak, so that a discrimination error due to temporary external noise can be minimized.

Further, according to the present invention, since the measured value is matched to the location information and stored, it is possible to quickly find out whether or not the leak has occurred at any point.

In addition, according to the present invention, since the measured value is matched to the facility information and stored, it is possible to determine whether there is a leak even when a leak is already in progress at a new measurement location.

In addition, according to the present invention, it is possible to accumulate measured values and determine whether there is a leakage even by performing measurement only at a location corresponding to the location information using a portable sensor and a portable terminal. Therefore, it is not necessary to have a measurement device for every underground pipeline. It works.

100: hearing sensor
110: road surface sensor
120: hearing stick sensor
200: control terminal
300: server

Claims (4)

An audible sound sensor for generating a measurement value by measuring the sound around the underground pipe or the underground pipe;
A control terminal receiving a measurement value from the hearing sensor and transmitting facility information corresponding to a location coordinate of a place where the measurement value is generated, together with the measurement value;
A server that determines that a leak has occurred when there is a difference between the data stored in the measured value transmitted from the control terminal and a set value;
Including,
The hearing sensor includes a road surface sensor installed on the ground or in the ground where the underground pipeline is buried to measure ambient sound, or a hearing rod sensor that measures sound conducted through the underground pipeline by contacting the underground pipeline. and,
The control terminal generates the facility information by searching for a facility within a set radius of the location coordinate, and transmits the location coordinate to the server when transmitting the facility information,
The server matches and stores the measured value with the facility information transmitted from the control terminal, but accumulates the measured value and stores it as a pattern, and when the newly transmitted measured value differs by more than a set range from the stored pattern, the corresponding A leak detection system that classifies the measured value as an abnormal situation, and determines that a leak has occurred when the number of times classified as an abnormal situation continues more than a set number of times within a set time.
The method of claim 1,
When it is determined that the leak has occurred, the server generates and stores the leak sound information for each pipe type based on the facility information, and stores the leak sound information corresponding to the pipe type extracted based on the facility information at the new measurement location. Leakage detection system applied as an initial pattern for classification of abnormal situations in
The method of claim 2,
A sound transmission device for emitting sound waves to the underground pipeline;
Including,
The server accumulates the peak interval or peak value of the measured value transmitted from the control terminal and stores it as a pattern, and when the peak interval or peak value of the newly transmitted measured value differs by more than a set range from the stored pattern, the corresponding measurement A leak detection system that classifies values as abnormal situations.
The method of claim 3,
The server does not accumulate the measurement value as a measurement value for pattern formation when the measurement value newly transmitted from the control terminal differs by more than a setting range from the stored pattern is less than the setting number or is not continuous within a setting time. Leak detection system.

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