KR102564671B1 - Soil corrosion evaluation monitoring system - Google Patents

Abstract

The present invention, an input unit for inputting buried pipe data for measuring and processing corrosive factors; terminal used by the user; A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping; a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals; A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location; Based on big data stored in the main server, it relates to a soil corrosivity evaluation monitoring system including a control unit that evaluates the soil corrosivity of locations where the measurement unit is installed and where it is not, and displays the evaluation results by region for the management target area. .

Description

Soil corrosion evaluation monitoring system {Soil corrosion evaluation monitoring system}

The present invention relates to a soil erosion evaluation monitoring system.

More specifically, it relates to a system for measuring corrosive factors inside the soil that corrode buried pipes, evaluating and monitoring the measured values, in order to manage pipes buried in the ground, such as water supply pipes, sewer pipes, and gas pipes.

In addition, by measuring corrosive factors inside the soil and providing learning data for artificial intelligence learning algorithms such as deep learning or machine learning, artificial intelligence technology evaluates the corrosiveness of soil and It is about a system for monitoring.

In general, most pipes, such as water supply pipes, sewer pipes, and gas pipes, are buried in the ground. Moisture and various chemicals are contained in the ground, and moisture and various substances react with pipes mainly made of metal to cause corrosion, etc. will have an adverse effect on

If buried pipes buried inside the ground deteriorate and corrode, sinkholes due to leaks in waterworks, water supply stoppage due to leaks in waterworks pipes, traffic paralysis, explosions due to gas leaks in city gas pipes, and the environment due to leaks in oil pipelines Problems such as pollution and waste of resources may occur.

Therefore, the degree of deterioration or corrosion of buried piping buried in the ground should be constantly or periodically checked, and if there is a problem, appropriate measures such as replacement or repair should be taken.

In order to accurately determine the state of buried piping and take action, it is most accurate and certain to directly excavate and precisely check the state of buried piping. Since it is impossible to excavate and inspect all buried pipes directly, a method of inferring the state of buried pipes by analyzing the components of the soil in which buried pipes are buried and measuring corrosive factors affecting corrosion is used.

However, conventional techniques for measuring corrosive factors and determining the effect on buried piping are indirectly measured using only test pieces or soil samples, making it difficult to determine the degree of aging or corrosion of piping actually buried in the ground, In particular, it was not possible to grasp the state of the entire pipe network of buried pipes connected over a wide area.

Therefore, it is necessary to develop a system capable of measuring corrosive factors at a point where a measuring device is not installed, as well as accurate measurement values at a location where corrosive factors of soil are measured, and evaluating and monitoring corrosiveness of soil.

Korea Patent Registration 10-2470417

In order to solve the problems of the prior art as described above, in the present invention, by the measured value of the corrosive factor measured through the multi-item IoT sensor, not only the location where the multi-item IoT sensor is installed, but also the multi-item IoT sensor is not installed. An object of the present invention is to provide a soil corrosivity evaluation monitoring system that determines the corrosive factor of an undisclosed location and the degree of corrosion of a buried pipe.

In the present invention, soil corrosiveness evaluation predicts the leak location of buried piping, the corrosion rate by location of buried piping, the replacement time and lifespan of buried piping by location, based on the measured values and data of the corrosive factor measured through the multi-item IoT sensor. Its purpose is to provide a monitoring system.

In the present invention, based on the big data stored in the main server, a soil corrosivity evaluation monitoring system that determines not only the location where the multi-item IoT sensor is installed, but also the corrosive factor of the location where the multi-item IoT sensor is not installed and the degree of corrosion of buried piping. intended to provide

In the present invention, a soil corrosivity evaluation monitoring system that predicts the leakage location of buried pipes, the degree of corrosion by location, the corrosion rate, and the remaining life through regression analysis based on deep learning or machine learning intended to provide

In the present invention, an input unit for inputting buried pipe data for measuring and processing corrosive factors; terminal used by the user; A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping; a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals; A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location; Based on the big data stored in the main server, a soil corrosivity evaluation monitoring system including a control unit that evaluates the soil corrosivity of the location where the measurement unit is installed and where it is not installed and displays the evaluation result by region for the management target area is provided. .

In the present invention, an input unit for inputting buried pipe data for measuring and processing corrosive factors; terminal used by the user; A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping; a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals; A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location; Based on the big data stored in the main server, regression analysis based on deep learning or machine learning is used to evaluate the soil corrosiveness of the location where the measuring unit is installed and where it is not, and the evaluation results are divided into management target areas by region. It provides a soil erosion evaluation monitoring system including a control unit for displaying.

In the present invention, an input unit for inputting buried pipe data for measuring and processing corrosive factors; terminal used by the user; A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping; a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals; A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location; Based on the big data stored in the main server, a control unit that determines the degree of corrosion of buried piping by region for the management target area where the measurement unit is installed and where it is not installed through regression analysis based on deep learning or machine learning. It provides a soil erosion evaluation monitoring system comprising a.

In the present invention, an input unit for inputting buried pipe data for measuring and processing corrosive factors; terminal used by the user; A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping; a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals; A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location; Deep learning or machine learning is performed using the corrosion thickness data according to the corrosion factor obtained through the test and the measured value obtained through the measurement unit installed on the site, and based on the big data, the corrosion rate of the buried piping installed in the management target area is measured in a regional area. Provided is a soil erosion evaluation monitoring system including a control unit that predicts each.

In the present invention, an input unit for inputting buried pipe data for measuring and processing corrosive factors; terminal used by the user; A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping; a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals; A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location; Based on the big data stored in the main server, a soil corrosivity evaluation monitoring system including a control unit that quantifies the remaining life of buried piping installed in the management target area through regression analysis based on deep learning or machine learning and provides it by region to provide.

The control unit is characterized in that it predicts and provides a leak location among buried pipes to be managed.

The multi-item IoT sensor measures at least one of soil resistivity, electrical conductivity, pH, oxidation-reduction potential, moisture content, chloride and sulfur oxide.

The control unit controls operations of the measurement unit and the communication unit, and the communication unit transmits measurement values and data to the main server.

The control unit is characterized in that it monitors the current state of the buried pipe based on the measurement value of the measuring unit, and delivers a warning message to the buried pipe-related institution according to a predetermined standard.

Data transmission of the multi-item IoT sensor is characterized in that it proceeds at intervals of one day.

When the degree of corrosion determined through regression analysis based on deep learning or machine learning is above a certain value, data transmission from the multi-item IoT sensor is characterized in that it proceeds at intervals of 4 to 12 hours.

When the degree of corrosion determined through regression analysis based on deep learning or machine learning is below a certain value, data transmission from the multi-item IoT sensor is characterized in that it proceeds at intervals of 1 to 3 days.

The data transmission interval of the multi-item IoT sensor is characterized in that the transmission interval is reduced as the corrosion rate of the buried pipe increases.

The data transmission interval of the multi-item IoT sensor is characterized in that the transmission interval is reduced as the remaining life of the buried pipe is shorter.

The controller may further include a display unit displaying the determination contents of the control unit.

The display unit is characterized in that it is located in the central control room of the buried piping-related institution.

It further includes a display unit showing the determination of the control unit, and the corrosion evaluation result output by the display unit is characterized in that it is displayed in different colors for each region.

In addition to being displayed in different colors for each region, the corrosion evaluation result is characterized in that it is displayed as a real-time numerical value.

In addition to being displayed in different colors for each region, the corrosion evaluation result is characterized in that it is also displayed as a symbol or icon.

The multi-item IoT sensor is characterized by being driven by a solar battery module.

The communication unit is characterized in that it performs communication in a narrowband IoT-based wireless communication method.

The measurement unit includes a main body unit that is equipped with a multi-item IoT sensor and can be buried in the ground around buried pipes; It includes a battery provided inside the body part.

A plurality of multi-item IoT sensors are installed, but are installed at intervals along the piping network of the buried piping, and are characterized in that the buried piping can be monitored based on the piping network of the buried piping.

The control unit evaluates the corrosion degree of the buried piping using the corrosion evaluation method standardized in accordance with the US national standard, and based on the evaluation result, the process of evaluating the life of the buried piping according to a predetermined standard is configured to be performed characterized by

The buried piping is characterized in that it is any one of a water supply pipe, a sewer pipe, a gas pipe, a heating pipe, an oil pipeline, a water pipe, a steam pipe, and a chemical pipe.

Through the main server, it is characterized in that the corresponding information is selectively provided according to the user's request received from the terminal.

The control unit is characterized in that it is included in the main server and configured.

The terminal is characterized in that it is configured by installing a dedicated program to a computer connected to the Internet, or by installing a dedicated application program to a personal portable information processing terminal capable of communication including a smart phone or tablet PC.

It is characterized in that the measured value of the corrosion factor measured in real time through the measuring unit is stored in the main server, built in a GIS-based form, and integrated with figure data and property data.

The control unit determines whether the state of the buried piping for each region is a corrosion-free state, an initial corrosion state, a corrosion progress state, or a replacement request state, and displays the state on the terminal and/or the display unit.

The corrosion-free state, the initial corrosion state, the corrosion progress state, or the replacement request state is characterized in that it is expressed visually and / or audibly.

The corrosion-free state, the initial corrosion state, the corrosion progress state, or the replacement request state is characterized in that the manager quantifies and sets the buried pipe according to the specifications of the buried pipe, soil corrosive factors, and the use of the buried pipe.

It is characterized in that the measurement unit can be controlled from the central control room of the buried piping-related institution.

The present invention, the soil erosion evaluation monitoring system, exerts the following effects.

First, according to the present invention, various soil corrosive factors such as resistivity, pH, oxidation-reduction potential (ORP), water content, chloride and sulfur oxide are measured for the soil in which the pipe is buried, and the corrosive environment of the soil and pipe is comprehensively analyzed. By providing a corrosive factor measurement and processing system and a soil corrosivity evaluation monitoring system for IoT-based monitoring of buried piping, which is configured to provide relevant data, it is possible to measure the corrosive environment of the soil with underground piping. It is possible to solve the problems of the prior art, which had limitations in predicting the age of the buried pipe, the corrosion rate, the remaining life of the buried pipe, and the leakage location due to the failure to provide accurate data for the buried pipe.

Second, according to the present invention, an IoT-based soil corrosive factor measuring device configured to distribute and arrange each measuring device at an appropriate location and interval using IoT technology and a corrosive factor for monitoring buried piping using the same By providing a measurement and processing system and a soil corrosivity evaluation monitoring system, it is possible to measure various soil corrosivity factors and provide comprehensive data on the corrosive environment of the soil in which pipes are buried, and at the same time, relatively simple configuration and low cost, it is possible to It is possible to effectively monitor and manage not only the exact corrosive environment of the piping, but also the entire piping network of buried piping.

Third, it is possible to effectively monitor the pipeline network in a wide area by using the Internet of Things (IoT) technology, while transmitting the measured information from each measuring device to the outside and analyzing the data to determine the soil corrosive factors and buried piping in each region. Deep learning ( By providing learning data for artificial intelligence learning algorithms, such as deep learning or machine learning, it is possible to predict the corrosion rate and lifespan of buried pipes through artificial intelligence technology.

Fourth, through the present invention, it is possible to dramatically increase the lifespan of underground facilities by real-time corrosion diagnosis and corrosion prediction.

Fifth, through the present invention, standards for indirect inspection of water supply, city gas, heating heat, water piping, etc. buried extensively in the ground can be presented, and a strategic plan for maintenance and inspection of the entire buried piping can be established. do.

Sixth, by accurately identifying the corrosion state of buried piping and preventing leaks in advance, improving stability related to buried piping, occurrence of sinkholes due to leaks in waterworks, interruption of water supply due to leaks in waterworks pipes, traffic paralysis, city gas piping It is possible to prevent problems such as explosion accidents caused by gas leaks, environmental pollution caused by oil leaks in oil pipelines, and waste of resources.

Seventh, it is possible to prevent leakage of buried piping and deterioration in usability, so energy efficiency can be increased, facility investment can be reduced, and manpower and cost for maintenance and inspection of underground facilities can be reduced. It enables rapid response even in the event of an accident.

Eighth, it is suitable for a smart management system because it is possible to check and manage the state of buried pipes in real time through sensing technology and IoT technology rather than periodic field visits by manpower.

Ninth, it is possible to create a real-time soil corrosion environment data map by using the soil corrosion environment data provided by the present invention, and it can be used for underground facility management and various studies (electrocution, method, grounding, etc.).

Tenth, the system for soil corrosion map information and buried pipe corrosion evaluation can monitor safety in real time in a wide range of indirect inspection standards such as water supply, city gas, heating heat, and water pipe, which is useful for strategic planning of buried pipe maintenance and inspection. can be used as an indicator.

Eleventh, by securing the safety of buried piping, there is an effect of increasing energy efficiency and reducing facility investment, and by accelerating the introduction of energy savings and new renewable energy, the effect of reducing greenhouse gas emissions can be obtained.

Twelfth, city gas pipe management by IoT can contribute to vitalizing a highly reliable safety management system, and maintenance costs can be reduced because the number of inspections of buried pipes can be reduced.

Thirteenth, the state of the buried piping can be accurately sensed and analyzed by the measuring unit, the communication unit, and the control unit, and accurate measures suitable for the state of the buried piping can be quickly taken. In particular, for the state of the buried piping, it is determined whether it is a corrosion-free state, an initial corrosion state, a corrosion progressing state, or a replacement request state, and displayed on the terminal and / or display unit, so that the state of the buried piping can be intuitively grasped, This will enable you to take the correct action appropriate to the situation.

Fourteenth, it is possible to easily manage buried piping while checking various data related to soil erosion factors with real-time trajectory lines and numerical values, so that maximum management effects can be obtained with a minimum number of personnel.

Fifteenth, the data related to soil corrosive factors stored in real time can be used not only for managing the current buried piping, but also for the management of newly built buried piping through big data, and the past management status of the currently installed buried piping. and history can be easily checked and utilized.

Sixteenth, soil corrosive factors stored by the main server, data related to buried piping, and data on action items for each situation can be utilized as data necessary for future buried piping management.

Seventeenth, since the buried piping is managed by an automatic control system based on data rather than the experience and skill of the operator, it does not require skilled workers, reducing the management cost of the buried piping, and managing the buried piping consistently and uniformly. It can be done.

Eighteenth, it is possible to take appropriate measures while remotely checking and monitoring the ground conditions and buried piping conditions in a place other than the buried piping subject to management.

Nineteenth, it is possible to comprehensively evaluate and manage the soil corrosiveness of the buried piping management target area, so that the maintenance of buried piping is convenient, and comprehensive and planned management can be performed.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a schematic diagram in which the measurement unit of the present invention is installed in a buried pipe network.
2 is a perspective view of a measurement unit of the present invention.
3 is a side view of a measurement unit of the present invention.
4 is a front view of a measurement unit of the present invention.
5 is a rear view of the measurement unit of the present invention.
6 is a photograph of an embodiment of the measurement unit of the present invention.
7 is a picture of an embodiment of the display unit included in the measurement unit of the present invention.
8 is a conceptual diagram showing the operation of the measurement unit of the present invention.
9 is an example of a soil corrosion factor displayed on a buried pipe network according to the present invention.
10 is a conceptual diagram of a system for monitoring leakage and corrosion of buried piping according to the present invention.
11 is a flow chart according to an embodiment of a system for monitoring leakage and corrosion of buried pipes.
12 is a conceptual diagram of predicting a soil erosion factor at a location that is not directly measured by a machine learning regression model.
13 is a schematic diagram showing an embodiment of a display unit of a measurement unit.
14 is a schematic diagram showing another embodiment of the display unit of the measuring unit.
15 is a schematic diagram of predicting a soil erosion factor at a location that is not directly measured by a machine learning regression model.
16 is a schematic diagram illustrating an embodiment of displaying measured data on a display unit according to the present invention.
17 to 20 are examples of displaying soil corrosive factors.
21 is an embodiment showing the corrosion rate of buried piping.
22 is an example of displaying soil erosion factors by region.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification. Throughout the specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The present invention relates to a soil erosion evaluation monitoring system.

Corrosion evaluation is conducted on a regular basis (once every half year) for safety management of buried piping installed in Korea. It proceeds to the post-evaluation stage. In the case of the second step, the indirect inspection, it is divided into three steps to determine excavation priority. Until now, the soil corrosivity test of the indirect test has been performed by manpower, and there is a disadvantage in that it takes a long time in the risk assessment of corrosion, and there is a problem that real-time monitoring is not possible.

The monitoring system of the present invention measures soil corrosion factors in multiple items and provides GIS-based information through IoT communication to quickly select excavation priorities for inspection and diagnosis of buried pipes, and measurement errors due to existing manpower. And it is possible to secure reliability for reproducibility.

Conventional technology that has limitations in predicting the aging or corrosion rate of buried pipes due to the failure to provide data on the corrosive environment of the soil in which pipes buried in the ground, such as water supply pipes, sewer pipes, and gas pipes, are buried. In order to solve the problem of, in the present invention, various soils such as specific resistance, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide with respect to the soil in which the pipe is buried Corrosive factor measurement and processing system for monitoring buried piping based on the Internet of Things (IoT), which is configured to provide comprehensive data on the corrosive environment of the soil and pipe by measuring the corrosive factor, and a soil corrosivity evaluation monitoring system will be.

As described above, the present invention measures various soil corrosivity factors to provide comprehensive data on the corrosive environment of the soil in which pipes are buried, and at the same time, using Internet of Things (IoT) technology, each measurement Corrosion factor for monitoring buried piping based on the Internet of Things (IoT), which is configured to enable effective monitoring not only of the corrosive environment of the piping in a specific location but also of the piping network in a wide area by distributing and arranging the devices at appropriate locations and intervals. It relates to a measurement and processing system and a soil erosion assessment monitoring system.

In addition, the present invention, as described above, uses the Internet of Things (IoT) technology to effectively monitor the pipeline network in a wide area, such as the entire metropolitan area, while transmitting the measured information from each measuring device to the outside and data By constructing big data on soil erosion factors and changes in the state of buried piping in each region through analysis, various information on soil erosion factors and buried piping is provided using the information stored in big data, thereby deep learning By providing learning data for artificial intelligence learning algorithms, such as Deep Learning or Machine Learning, the Internet of Things is configured to predict the corrosion rate and lifespan of buried pipes through artificial intelligence technology. It relates to a corrosion factor measurement and treatment system for monitoring buried piping and a soil corrosion evaluation monitoring system.

The corrosive factor measurement and treatment system for monitoring buried piping of the present invention will be described.

The corrosive factor measurement and processing system for monitoring buried piping of the present invention includes an input unit, a measurement unit, a communication unit, a storage unit, and a determination unit.

The corrosive factor measurement and processing system for monitoring buried piping of the present invention includes an input unit for inputting data for measuring and processing soil corrosive factors, and a plurality of multi-item IoT sensors for measuring the corrosive factors of the soil to be measured. A communication unit that transmits and receives data including the measured values measured by the measurement unit and transmits and receives control signals, a storage unit that stores the measured values and processing results measured by the measurement unit, and the corrosion factor measured through the measurement unit. It relates to a corrosive factor measurement and processing system for monitoring buried piping including a determination unit for determining the corrosive factor of a location where a multi-item IoT sensor is not installed and the degree of corrosion by location of the buried piping by measured values.

The corrosive factor measurement and processing system for monitoring buried piping of the present invention includes an input unit, a measurement unit, a communication unit, a storage unit, a determination unit, and an output unit.

Another embodiment of the corrosive factor measurement and processing system for monitoring buried piping of the present invention is an input unit for inputting data for measuring and processing soil corrosive factors, a plurality of multi-item IoT sensors for measuring corrosive factors of the soil to be measured A measurement unit including a measurement unit, a communication unit that transmits and receives data including measurement values measured by the measurement unit, and transmits and receives control signals, a storage unit that stores measurement values and processing results measured by the measurement unit, and measurement through the measurement unit. Based on the measured value of the corrosive factor, the corrosive factor of the location where the multi-item IoT sensor is not installed, the determination unit that determines the degree of corrosion by buried piping location, the measured value measured by the measuring unit, the data input by the input unit, It relates to a corrosion factor measurement and processing system for monitoring buried piping including an output unit for outputting the discrimination result determined by the determination unit.

The input unit included in the system for measuring and processing corrosive factors for monitoring buried piping of the present invention inputs data for measuring and processing soil corrosive factors.

Through the input unit, various status information related to buried piping, data for corrosiveness evaluation of buried piping, various information on the ground and soil in which buried piping is buried, various information related to the measurement unit including a plurality of multi-item IoT sensors Enter information, etc.

The measurement unit included in the corrosive factor measurement and processing system for monitoring buried piping of the present invention includes a plurality of multi-item IoT sensors and measures the corrosive factor of the soil to be measured.

The measuring unit includes a plurality of measuring means for measuring various soil corrosion factors such as specific resistance, electrical conductivity, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide, etc. It can be configured to include.

The measuring unit includes a main body 100 that is equipped with a multi-item IoT sensor and can be buried in the ground around buried piping, and a battery provided inside the main body 100, without separately connecting an external power source to the piping. Attached to or embedded in the ground, it is configured to measure various soil corrosion factors with one device.

The measurement unit may include a body unit 100, a fixing unit 200, and a sensor unit 300.

The body part 100 may be provided as a housing formed in a cylindrical structure, the fixing part 200 allows the measuring part to be firmly fixed in the ground, and the sensor part 300 has a specific resistance Various soil corrosion factors such as , electrical conductivity, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide can be measured.

In the present invention, the corrosive factor measurement and treatment system for monitoring buried piping requires periodic measurement of soil corrosivity factors in order to analyze the correlation between soil corrosivity factors and corrosion rate through machine learning. Multi-item IoT sensors are used to enable long-term periodic measurements in field environments.

The data of the multi-item IoT sensor installed in each region is transmitted to the storage unit using the MQTT (Message Queuing Telemetry Transport) protocol.

The IoT-based soil corrosivity factor measurement unit according to an embodiment of the present invention measures soil corrosivity factors around buried pipes, and analyzes the effect of each measured factor on corrosion of the pipe to measure excavation and construction, etc. It is possible to easily determine the state and life of the pipe in an indirect manner without the need for a process.

The measurement unit may further include a display unit for displaying a measurement value and an operating state measured from the multi-item IoT sensor.

The multi-item IoT sensor may be driven by a solar battery module, and a plurality of the multi-item IoT sensors are installed, installed at intervals along the piping network of the buried piping, and based on the piping network of the buried piping. can be monitored.

Data transmission of the multi-item IoT sensor may be transmitted at intervals of one day, and measurement and measurement value transmission intervals may be varied depending on the degree of corrosion of buried pipes and corrosive factor conditions of soil.

For example, if a newly installed buried pipe or a buried pipe is in very good condition, the possibility of leakage of the buried pipe is slim, so having a long measurement and transmission cycle of the measured value will be advantageous in terms of energy and work efficiency. If the degree of corrosion of the pipe is a level of concern or the sum of the evaluation scores of the corrosive factors of the soil around the buried pipe is a level of concern, it is desirable to shorten the period of measuring the corrosive factors of the soil and transmitting the measured values.

Therefore, in the corrosive factor measurement and processing system for monitoring buried piping of the present invention, in one embodiment, when the determined degree of corrosion is greater than a certain value, data transmission from the multi-item IoT sensor is transmitted at intervals of 4 to 12 hours. can

In the corrosion factor measurement and processing system for monitoring buried piping of the present invention, in another embodiment, when the determined degree of corrosion is less than a certain value, data transmission of the multi-item IoT sensor can be transmitted at intervals of 1 to 3 days. There is also

In the corrosive factor measurement and processing system for monitoring buried piping of the present invention, in another embodiment, the data transmission interval of the multi-item IoT sensor may be reduced as the remaining life of the buried pipe decreases.

It is preferable that a plurality of multi-item IoT sensors are installed, installed at intervals along the pipe network of the buried pipe, and to monitor the buried pipe based on the pipe network of the buried pipe.

1 conceptually shows a state in which an IoT-based measuring unit is installed in a pipe network of a buried pipe according to an embodiment of the present invention.

The measuring unit of the present invention is installed in a detachable state on the buried pipe, or is buried in the ground around the buried pipe, and is installed at regular intervals and positions around the pipe or pipe through a housing formed to be easily attached or detached, simply at a specific location. The algorithm of the present invention effectively monitors not only soil corrosive factors and pipe condition monitoring, but also relatively wide ranges such as regional pipe networks.

Corrosive factors present in the soil are measured and analyzed by the measurement unit, and the measured and analyzed information is transmitted to the outside through the communication unit and stored in a separate database form, or various analysis operations are performed based on the measured information. It can be configured to perform and provide necessary information according to the user's request.

The communication unit included in the corrosion factor measurement and processing system for monitoring buried piping of the present invention transmits and receives data including measurement values measured by the multi-item IoT sensor, and transmits and receives data and control signals with the outside.

The communication unit may include a communication means for transmitting and receiving measured values and data in at least one of wired and wireless communication, preferably, in an Internet of Things (IoT)-based wireless communication method. The components of may be configured to be connected to each other.

The communication unit wirelessly uses the Internet of Things (IoT) function, which has recently emerged as a new communication method between various devices, such as, for example, Narrow Band Internet of Things (NB-IoT). It may be configured to be connected to each other and exchange data.

Narrowband Internet of Things (NB-IoT) is a wide-area service with a data transmission speed of hundreds of kbps or less and a wide area service of 10 km or more using a relatively narrow band through a mobile communication network such as GSM (Global System for Mobile Communications) or LTE (Long Term Evolution). It is a Low Power Wide Area (LPWA) communication method that supports, and is a communication method suitable for communication between objects at a long distance and with low power consumption.

Here, in the above embodiment of the present invention, the present invention is shown by taking the case where the communication unit exchanges data through the narrowband Internet of Things (NB-IoT) as an example, but the present invention is not necessarily limited to this case That is, in the present invention, the communication unit may be configured using other low-power wireless networks such as Bluetooth, Beacon, Zigbee, and Z-Wave. It can also be configured in various ways as needed.

The storage unit included in the corrosive factor measurement and processing system for monitoring buried piping of the present invention stores the measured values and processing results measured by the multi-item IoT sensor.

Various data stored in the storage unit are not only used for current buried piping management and measures, but can also be used as basic data for future buried piping management.

The storage unit may be provided near the excretion pipe, or may utilize a cloud server. The buried piping manager can freely access the cloud server from a remote location as well as the buried piping site to check or utilize the stored data.

The output unit included in the corrosive factor measurement and processing system for monitoring buried piping of the present invention outputs the measured value measured by the measurement unit, the data input by the input unit, and the discrimination result determined by the determination unit.

The output unit may use at least one of a smart phone, a tablet PC, a laptop computer, a computer monitor, a CCTV monitor, a TV, a tab book, a PDA, and printed materials.

The soil corrosivity factor output by the output unit may be displayed as a real-time locus line and/or a real-time numerical value.

In addition, the soil corrosivity factor output by the output unit can be displayed as a bar graph, a different color for each numerical range, or a symbol or icon that can express a separate state in addition to a real-time locus line and a real-time numerical value. .

The determination unit included in the corrosive factor measurement and processing system for monitoring buried piping of the present invention measures the corrosive factor at a location where the multi-item IoT sensor is not installed, based on the measured value of the corrosive factor measured through the multi-item IoT sensor. , Determine the degree of corrosion by location of buried piping.

As a method for evaluating the corrosiveness of soil, for example, it may be performed using a standardized corrosiveness evaluation method according to the American National Standards Institute (ANSI), but the present invention is necessarily limited to such a configuration It is not, and can be configured by appropriately modifying and changing as needed within a range that does not deviate from the spirit and essence of the present invention.

Individual evaluation scores are given for each corrosive factor, specific resistance, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide, etc., and the individual evaluation scores are summed. The degree of corrosion can be judged by the value, and the life of the buried pipe can be predicted based on the evaluation result and the degree of corrosion.

Therefore, according to this principle, it is possible to implement the IoT-based corrosive factor measurement and processing system according to the embodiment of the present invention, and by using this, it is configured to provide information such as corrosion degree, aging degree and lifespan of buried piping It enables easy and convenient monitoring of buried piping.

The determination unit may determine the leak location of the buried pipe by the measured value and data of the corrosive factor measured through the multi-item IoT sensor.

The determination unit can predict the corrosion rate for each position of the buried pipe by the measured value and data of the corrosion factor measured through the multi-item IoT sensor.

The determination unit can predict the replacement time and lifespan of buried piping by location based on the measured values and data of the corrosive factor measured through the multi-item IoT sensor.

The determination unit may control operations of the measurement unit and the communication unit, and the communication unit may transmit measurement values and data to a main server.

As described above, the determining unit may monitor the current state of the buried piping based on the measured value of the measuring unit, and deliver a warning message to the buried piping-related institution according to a predetermined standard. A warning message may use a visual method and/or an audible method.

The buried pipe to which the corrosive factor measurement and treatment system for monitoring the buried pipe of the present invention can be applied may be any one of a water supply pipe, a sewer pipe, a gas pipe, a heating pipe, an oil pipe, a water pipe, a steam pipe, and a chemical pipe.

In addition, if the corrosive factor measurement and processing system for monitoring buried piping according to an embodiment of the present invention is used, by using big data on the buried piping and soil corrosive factors configured as described above, for example, deep learning Like deep learning or machine learning, it provides learning data to perform learning of artificial intelligence learning algorithms, evaluates the corrosion and aging of buried piping based on the learning results, and predicts its lifespan. By doing so, it is possible to provide more diverse information in addition to simply presenting the measured value.

Therefore, as described above, it is possible to implement a corrosive factor measurement and treatment system for monitoring buried piping according to an embodiment of the present invention, whereby, for the soil in which the piping is buried, the specific resistance, pH, and oxidation-reduction of the soil to be measured Corrosive factor for IoT-based monitoring of buried piping, which is configured to provide comprehensive data on the corrosive environment of the soil and piping by measuring various soil corrosive factors such as potential (ORP), moisture content, chloride and sulfur oxide, etc. A problem in the prior art that has limitations in predicting the aging or corrosion rate of the buried pipe due to the provision of a measurement and processing system and the failure to provide data on the corrosive environment of the soil in which the pipe is buried underground. can solve

In addition, according to the present invention, as described above, a corrosive factor measurement and processing system for monitoring buried piping based on the Internet of Things (IoT) is configured to distribute and arrange each measuring unit at an appropriate position and interval using the Internet of Things (IoT) technology. As a result, it is possible to provide comprehensive data on the corrosive environment of the soil where the pipes are buried by measuring various soil corrosive factors, and at the same time, it is possible to provide comprehensive data on the corrosive environment of the pipe in a specific location with a relatively simple configuration and low cost, as well as the pipe network in a relatively wide area. Effective monitoring is also possible.

In addition, according to the present invention, as described above, by using the Internet of Things (IoT) technology, it is possible to effectively monitor the pipe network in a wide area, and at the same time, the measured information from each measuring unit is transmitted to the outside and through data analysis By providing a corrosive factor measurement and processing system for monitoring buried pipes based on the Internet of Things, which is configured to build big data on soil corrosivity factors in each region and changes in the state of buried pipes, using information stored in big data In addition to being able to provide various information on soil erosion factors and buried piping, for example, deep learning or machine learning, providing learning data for artificial intelligence learning algorithms Through artificial intelligence technology, it is possible to predict the corrosion rate and lifespan of buried pipes.

Hereinafter, the soil erosion evaluation monitoring system of the present invention will be described.

The soil erosion evaluation and monitoring system of the present invention utilizes a multi-item integrated sensor of the soil, installs it in a distributed manner around buried pipes, analyzes the measured big data, and performs deep learning or machine learning. Through this, corrosiveness of the soil in the management target area is evaluated, and the evaluation results are displayed for each region for the management target area.

In addition, the soil corrosivity evaluation monitoring system of the present invention utilizes a multi-item integrated sensor of the soil, installs it in a distributed manner around buried pipes, analyzes the measured big data, and performs deep learning or machine learning ), evaluate the corrosiveness of the soil in the management target area, quantitatively predict the leakage location and corrosion rate of buried pipes, and monitor the lifespan and safety of buried pipes.

The soil erosion evaluation monitoring system of the present invention includes an input unit, a terminal, a measurement unit, a communication unit, a main server, and a control unit.

An embodiment of the soil corrosivity evaluation monitoring system of the present invention includes an input unit for inputting buried pipe data for measuring and processing corrosive factors, a terminal used by a user, and a multi-item IoT sensor for measuring corrosive factors of soil to be managed. It transmits and receives data including the measurement value measured by the measurement unit and the communication unit that transmits and receives control signals, stores the data input through the measurement value and input unit, and measures the corrosion factor and Based on the main server that builds related big data, and the big data stored in the main server, it includes a control unit that evaluates the soil corrosiveness of the location where the measurement unit is installed and where it is not, and displays the evaluation results by region for the management target area. It relates to a soil erosion evaluation monitoring system.

An embodiment of the soil corrosivity evaluation monitoring system of the present invention includes an input unit for inputting buried pipe data for measuring and processing corrosive factors, a terminal used by a user, and a multi-item IoT sensor for measuring corrosive factors of soil to be managed. It transmits and receives data including the measurement value measured by the measurement unit and the communication unit that transmits and receives control signals, stores the data input through the measurement value and input unit, and measures the corrosion factor and Based on the main server that builds the related big data, and the big data stored in the main server, through deep learning or machine learning-based regression analysis, the soil corrosiveness of the location where the measuring unit is installed and where it is not installed is evaluated and evaluated. It relates to a soil erosion evaluation and monitoring system including a control unit that displays results by region for management target areas.

An embodiment of the soil corrosivity evaluation monitoring system of the present invention includes an input unit for inputting buried pipe data for measuring and processing corrosive factors, a terminal used by a user, and a multi-item IoT sensor for measuring corrosive factors of soil to be managed. It transmits and receives data including the measurement value measured by the measurement unit and the communication unit that transmits and receives control signals, stores the data input through the measurement value and input unit, and measures the corrosion factor and Based on the main server that builds related big data, and the big data stored in the main server, through deep learning or machine learning-based regression analysis, the management target area of the location where the measurement unit is installed and where it is not installed is classified by region. It relates to a soil corrosion evaluation monitoring system including a control unit for determining the degree of corrosion of buried piping.

An embodiment of the soil corrosivity evaluation monitoring system of the present invention includes an input unit for inputting buried pipe data for measuring and processing corrosive factors, a terminal used by a user, and a multi-item IoT sensor for measuring corrosive factors of soil to be managed. It transmits and receives data including the measurement value measured by the measurement unit and the communication unit that transmits and receives control signals, stores the data input through the measurement value and input unit, and measures the corrosion factor and The main server that builds related big data, deep learning or machine learning is performed using the corrosion thickness data according to the corrosion factor obtained through the test and the measured value obtained through the measuring unit installed on the site, and the target area to be managed based on the big data It relates to a soil corrosion evaluation and monitoring system including a control unit for predicting the corrosion rate of buried pipes installed in a region.

An embodiment of the soil corrosivity evaluation monitoring system of the present invention includes an input unit for inputting buried pipe data for measuring and processing corrosive factors, a terminal used by a user, and a multi-item IoT sensor for measuring corrosive factors of soil to be managed. It transmits and receives data including the measurement value measured by the measurement unit and the communication unit that transmits and receives control signals, stores the data input through the measurement value and input unit, and measures the corrosion factor and Based on the main server that builds related big data, and the big data stored in the main server, the control unit quantifies the remaining life of buried piping installed in the area to be managed through regression analysis based on deep learning or machine learning and provides it by region. It relates to a soil erosion evaluation monitoring system comprising a.

The input unit included in the soil erosion evaluation monitoring system of the present invention inputs data for measuring and processing soil erosion factors. Through the input unit, various status information related to buried piping, data for corrosiveness evaluation of buried piping, various information on the ground and soil in which buried piping is buried, various information related to the measurement unit including a plurality of multi-item IoT sensors Enter information, etc.

The terminal included in the soil erosion evaluation and monitoring system of the present invention is configured such that a user accesses the system, requests necessary information, and performs processing for providing the requested information.

The terminal may be configured by installing a dedicated program on a computer connected to the Internet or by installing a dedicated application program on a personal portable information processing terminal capable of communication including a smart phone or tablet PC.

The measurement unit included in the soil erosion evaluation monitoring system of the present invention includes a plurality of multi-item IoT sensors and measures the erosion factor of the soil to be measured.

The measuring unit includes a plurality of measuring means for measuring various soil corrosion factors such as specific resistance, electrical conductivity, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide, etc. It can be configured including.

The measuring unit includes a main body 100 that is equipped with a multi-item IoT sensor and can be buried in the ground around buried piping, and a battery provided inside the main body 100, without separately connecting an external power source to the piping. Attached to or embedded in the ground, it is configured to measure various soil corrosion factors with one device.

The measurement unit may include a body unit 100, a fixing unit 200, and a sensor unit 300.

The body part 100 may be provided as a housing formed in a cylindrical structure, the fixing part 200 allows the measuring part to be firmly fixed in the ground, and the sensor part 300 has a specific resistance Various soil corrosion factors such as , electrical conductivity, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide can be measured.

In the present invention, soil erosion evaluation monitoring system, it is necessary to periodically measure soil erosion factors in order to analyze the correlation between soil erosion factors and corrosion rate through machine learning. To make it measurable, we use multi-item IoT sensors.

The data of the multi-item IoT sensor installed in each region is transmitted to the storage unit using the MQTT (Message Queuing Telemetry Transport) protocol.

The IoT-based soil corrosivity factor measurement unit according to an embodiment of the present invention measures soil corrosivity factors around buried pipes, and analyzes the effect of each measured factor on corrosion of the pipe to measure excavation and construction, etc. It is possible to easily determine the state and life of the pipe in an indirect manner without the need for a process.

The measurement unit may further include a display unit for displaying a measurement value and an operating state measured from the multi-item IoT sensor.

The multi-item IoT sensor may be driven by a solar battery module, and a plurality of the multi-item IoT sensors are installed, installed at intervals along the piping network of the buried piping, and based on the piping network of the buried piping. can be monitored.

Data transmission of the multi-item IoT sensor may be transmitted at intervals of one day, and as will be described later, measurement and measurement value transmission intervals may be varied depending on the degree of corrosion of buried pipes and the corrosive factors of the soil.

For example, if a newly installed buried pipe or a buried pipe is in very good condition, the possibility of leakage of the buried pipe is slim, so having a long measurement and transmission cycle of the measured value will be advantageous in terms of energy and work efficiency. If the degree of corrosion of the pipe is a level of concern or the sum of the evaluation scores of the corrosive factors of the soil around the buried pipe is a level of concern, it is desirable to shorten the period of measuring the corrosive factors of the soil and transmitting the measured values.

Therefore, in the soil erosion evaluation monitoring system of the present invention, in one embodiment, when the degree of corrosion determined through regression analysis based on deep learning or machine learning is above a certain value, Data transmission of multi-item IoT sensors can be transmitted at intervals of 4 to 12 hours.

In the soil erosion evaluation monitoring system of the present invention, in another embodiment, when the degree of erosion determined through regression analysis based on deep learning or machine learning is below a certain value, multi-item Data transmission of the IoT sensor may be transmitted at intervals of 1 to 3 days.

In the soil erosion evaluation monitoring system of the present invention, in another embodiment, the data transmission interval of the multi-item IoT sensor may be reduced as the remaining life of the buried pipe decreases.

Of course, the measurement of the soil corrosivity factor and the transmission of the measured value may vary depending on specifications such as the diameter, thickness, and type of the buried pipe.

It is preferable that a plurality of multi-item IoT sensors are installed, installed at intervals along the pipe network of the buried pipe, and to monitor the buried pipe based on the pipe network of the buried pipe.

In the drawing, a state in which the IoT-based measuring unit according to an embodiment of the present invention is installed in a pipe network of a buried pipe is conceptually shown.

As shown in the drawing, the measurement unit of the present invention is installed in a detachable state on the buried pipe, or is buried in the ground around the buried pipe, and is formed at regular intervals and positions around the pipe or pipe through a housing formed to be easily attached or detached, respectively. By being installed, the algorithm of the present invention effectively monitors not only soil corrosive factors and pipe conditions for a specific location, but also a relatively wide range, such as a regional pipe network.

Corrosive factors present in the soil are measured and analyzed by the measurement unit, and the measured and analyzed information is transmitted to the outside through the communication unit and stored in a separate database form, or various analysis operations are performed based on the measured information. It can be configured to perform and provide necessary information according to the user's request.

The control of the measuring unit may be performed at the site of the buried piping where the measuring unit is installed, or may be remotely controlled by a user through a terminal, and the central control room of a buried piping-related institution may be integrated for all buried piping to be managed. can also be controlled.

The communication unit included in the soil erosion evaluation monitoring system of the present invention transmits and receives data including measurement values measured by the multi-item IoT sensor, and transmits and receives data and control signals with the outside.

The communication unit may include a communication means for transmitting and receiving measured values and data in at least one of wired and wireless communication, preferably, in an Internet of Things (IoT)-based wireless communication method. The components of may be configured to be connected to each other.

The communication unit wirelessly uses the Internet of Things (IoT) function, which has recently emerged as a new communication method between various devices, such as, for example, Narrow Band Internet of Things (NB-IoT). It may be configured to be connected to each other and exchange data.

Narrowband Internet of Things (NB-IoT) is a wide-area service with a data transmission speed of hundreds of kbps or less and a wide area service of 10 km or more using a relatively narrow band through a mobile communication network such as GSM (Global System for Mobile Communications) or LTE (Long Term Evolution). It is a Low Power Wide Area (LPWA) communication method that supports, and is a communication method suitable for communication between objects at a long distance and with low power consumption.

Here, in the above embodiment of the present invention, the present invention is shown by taking the case where the communication unit exchanges data through the narrowband Internet of Things (NB-IoT) as an example, but the present invention is not necessarily limited to this case That is, in the present invention, the communication unit may be configured using other low-power wireless networks such as Bluetooth, Beacon, Zigbee, and Z-Wave. It can also be configured in various ways as needed.

The main server included in the soil erosion evaluation and monitoring system of the present invention stores the measured values by the multi-item IoT sensor and the data input through the input unit, and the soil erosion evaluation results by region for the entire buried piping management target area, buried Build big data related to the corrosive factors of each pipe condition and location.

Various data stored in the main server are used for soil corrosivity management by region for the entire buried pipe management target area, current buried pipe management and measures, and can be used as basic data for future buried pipe management.

Through the main server, corresponding information can be selectively provided according to the user's request received from the terminal.

The measured value of the corrosion factor measured in real time through the multi-item IoT sensor is stored in the main server, built in a GIS-based form, and can be integrated and provided together with figure data and attribute data.

When a request for specific information is received from each user through a terminal, the main server searches for the corresponding information based on the stored big data, reconstructs the searched information appropriately, and transmits the information back to the corresponding terminal. It can be.

Through the above process, it is possible to provide information on buried piping and soil corrosivity factors according to the user's request, and soil corrosivity evaluation results by region for the entire buried piping management target area.

As described above, the soil corrosivity evaluation and monitoring system according to an embodiment of the present invention is based on the results of soil corrosivity evaluation by region for the entire buried pipe management target area, the degree of corrosion by location of buried pipes, the location of leaks in buried pipes, and the degree of corrosion and thickness, corrosion rate of buried pipes, remaining life of buried pipes to be managed, etc., so that various types of data can be selectively provided according to a user's request.

The control unit included in the soil corrosivity evaluation monitoring system of the present invention determines the corrosive factor of the location where the multi-item IoT sensor is not installed and the degree of corrosion by buried pipe location based on the big data stored in the main server, and the overall operation of each component control, and evaluate the soil corrosiveness of each region for the entire area subject to management of buried piping.

The control unit may be included in the main server and configured together.

The control unit may control operations of the measurement unit and the communication unit, and the communication unit may transmit measurement values and data to the main server.

In addition, the controller may determine whether the state of the buried pipe is a corrosion-free state, an initial corrosion state, a corrosion progress state, or a replacement request state, and display the state on the terminal and/or the display unit.

The corrosion-free state, the initial corrosion state, the progressing corrosion state, or the state requiring replacement may be expressed visually and/or audibly.

The corrosion-free state, the initial corrosion state, the corrosion progress state, or the replacement request state can be quantified and set by a manager according to the specifications of the buried pipe, soil corrosive factors, and the use of the buried pipe.

The control unit, based on the measured value of the measurement unit, evaluates the soil corrosiveness by region for the entire buried piping management target area and monitors the current state of the buried piping, and can deliver a warning message to the buried piping-related institution according to a predetermined standard. there is.

As a method for evaluating the corrosiveness of soil, for example, it may be performed using a standardized corrosiveness evaluation method according to the American National Standards Institute (ANSI), but the present invention is necessarily limited to such a configuration It is not, and can be configured by appropriately modifying and changing as needed within a range that does not deviate from the spirit and essence of the present invention.

Individual evaluation scores are given for each corrosive factor, specific resistance, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide, etc., and the individual evaluation scores are summed. The degree of corrosion can be judged by the value, and the life of the buried pipe can be predicted based on the evaluation result and the degree of corrosion.

Individual evaluation scores are given for each corrosive factor, specific resistance, pH, oxidation reduction potential (ORP), moisture content, chloride and sulfur oxide, etc., and the individual evaluation scores are summed. The degree of corrosion is judged by the value, and based on these evaluation results and the degree of corrosion, the state of the buried piping can be classified into a state without corrosion, an initial corrosion state, a state of progressing corrosion, or a state requiring replacement.

Therefore, with this principle, it is possible to implement the IoT-based soil corrosivity evaluation monitoring system according to the embodiment of the present invention, and by using this, management configured to provide information such as corrosion degree, aging degree and lifespan of buried piping. You can easily and simply manage the entire target buried piping.

The control unit of the present invention, the soil corrosivity evaluation monitoring system, based on the big data stored in the main server, determines the corrosive factor of the location where the multi-item IoT sensor is not installed and the degree of corrosion by buried pipe location, and the entire buried pipe management target area Evaluate soil corrosiveness by region for each region, and control the overall operation of each component.

The control unit of the present invention, the soil erosion evaluation monitoring system, can evaluate soil erosion by region for the entire buried piping management target area through regression analysis based on deep learning or machine learning. .

The control unit of the present invention, the soil erosion evaluation monitoring system, can predict the leak location of the buried pipe through regression analysis based on deep learning or machine learning.

The control unit of the soil corrosivity evaluation monitoring system of the present invention can predict the degree of corrosion for each buried pipe position through regression analysis based on deep learning or machine learning.

The control unit of the present invention, the soil corrosivity evaluation monitoring system, uses the corrosion thickness data according to the corrosivity factor obtained through the test and the measured value obtained through the multi-item IoT sensor installed in the field to perform deep learning or machine learning Learning) and predict the corrosion rate of buried piping based on big data.

The control unit of the present invention, the soil erosion evaluation monitoring system, may quantify and provide the remaining life of the buried pipe through regression analysis based on deep learning or machine learning.

The control unit may control operations of the measurement unit and the communication unit, and the communication unit may transmit measurement values and data to a main server.

As described above, the control unit, based on the measured value of the measurement unit, evaluates the soil corrosiveness by region for the entire buried pipe management target area, monitors the current state of the buried pipe, and A warning message can be delivered to the pipe-related institution.

A warning message may use a visual method and/or an audible method.

The soil erosion evaluation monitoring system of the present invention may further include a display unit for displaying the determination contents of the control unit.

The display unit is located in the central control room of an institution related to buried piping, so as to comprehensively manage the entire buried piping.

As shown in FIG. 16, the soil erosion evaluation result output by the display unit may be displayed in different colors for each region.

In addition to being displayed in different colors for each region, the soil erosion evaluation result can also be displayed as a real-time numerical value.

In addition to being displayed in different colors for each region, the soil erosion evaluation result can also be displayed as a symbol or icon.

Therefore, the manager of the buried piping can grasp the soil erosion of the entire area subject to management of the buried piping by simply checking the display unit, and can easily check the state of the buried piping inside the ground, making it very easy to manage the buried piping. After the installation work, it is possible to complete the management of buried piping by checking only the display part where various data are recorded in real-time trajectory lines.

As shown in FIG. 16, the display unit may display corrosive factors by dividing colors by region for the entire buried pipe management target area, or may display a bar graph or locus line for a specific point.

The control unit monitors the degree of corrosion and the current state of the pipe based on the measured values measured by the measuring unit, predicts the lifespan, and sends a notification about the fact when an abnormality occurs or maintenance is required, and at the same time, the person in charge or relationship through the communication unit A process of contacting an authority may be configured to be performed.

To this end, it may be configured to further include a display means for displaying various information such as measurement values and current status or operation, and notification means for delivering notifications such as warning messages and alarm sounds when an abnormality occurs.

It is preferable that the display means and notification means are installed outside the measuring unit in consideration of the characteristics of being installed in pipes buried underground.

That is, the display unit and notification unit may be configured to be implemented using monitors and speakers of a central control room or a main server that controls operations without the need to implement separate hardware.

In the soil corrosion evaluation monitoring system of the present invention, the corrosion rate and the thickness of corrosion of buried pipes can be predicted.

In general, pipes buried underground are corroded or materially deteriorated over time, and problems such as poor water output, chromaticity such as red water, and leakage accidents are caused.

Corrosion of buried pipes that cannot be observed with the naked eye can be determined through indirect inspection methods such as Close Interval Potential Survey (CIPS) and coating damage detection (DC Voltage Gradient (DCVG)).

The risk of corrosion in the existing soil environment has been qualitatively evaluated, and Korea generally applies the standard table of the American National Standards Institute (ANSI, 1972).

In the soil corrosivity evaluation monitoring system of the present invention, corrosion factors (soil resistivity, moisture content, ORP, pH, etc.) are measured in real time in multiple items, and through an artificial intelligence regression model based on corrosion rate and corrosion thickness data for the corrosion factors The corrosion rate and thickness of buried pipes can be quantitatively predicted.

By improving the existing qualitative evaluation method, a new index for soil corrosiveness can be presented, and the expected location of corrosion can be predicted in real time in conjunction with an automated system for future corrosion protection potential measurement and cover damage detection.

In the soil corrosivity evaluation monitoring system of the present invention, whether there is leakage and the leakage location are predicted.

The buried pipe to which the soil corrosivity evaluation monitoring system of the present invention can be applied may be any one of a water supply pipe, a sewer pipe, a gas pipe, a heating pipe, an oil pipe, a water pipe, a steam pipe, and a chemical pipe.

In the case of water supply pipes, in order to detect leaks in water supply, a flow meter or a water pressure gauge was used, or a technology using sound waves was applied, but it was not effective. In this way, the installation cost due to excavation is high, and the maintenance cost of the buried sensor is also high.

In the soil corrosion evaluation monitoring system of the present invention, it is possible to predict the leak location for the distributed sensor location by using an artificial intelligence model based on moisture content data, which is a corrosion factor, and is very efficient in practical use as an existing non-contact method.

In the case of gas pipelines, oil pipelines, and various water pipelines, a factor detectable in the soil can be added to the measuring unit of the present invention, and the leak location can be predicted through a machine learning model, thereby ensuring the safety of buried pipelines in real time.

Based on the data measured by the IoT sensor, a database can be built in the cloud system for the degree of leakage and corrosion of buried pipes predicted through artificial intelligence, and a large amount of data can be stored in the form of a Web GIS (Geographic Information System). Since it is built on a computer basis, information can be searched quickly, and figure data and attribute data can be easily combined and an integrated analysis environment can be provided.

Although the present invention has been described with reference to the embodiments shown in the drawings, this is only exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom.

Therefore, the true technical scope of protection of the present invention should be determined by the technical spirit of the appended claims.

100. Main body
200. Fixed part
300. Sensor part

Claims (34)

An input unit for inputting buried piping data for measuring and processing corrosive factors;
terminal used by the user;
A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping;
a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals;
A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location;
Based on the big data stored in the main server, the soil corrosivity of the location where the measurement unit is installed and where it is not installed, and the control unit that displays the evaluation result by region for the management target area
Soil erosion assessment monitoring system. An input unit for inputting buried piping data for measuring and processing corrosive factors;
terminal used by the user;
A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping;
a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals;
A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location;
Based on the big data stored in the main server, regression analysis based on deep learning or machine learning is used to evaluate the soil corrosiveness of the location where the measuring unit is installed and where it is not, and the evaluation results are divided into management target areas by region. including a control unit that displays
Soil erosion assessment monitoring system. An input unit for inputting buried piping data for measuring and processing corrosive factors;
terminal used by the user;
A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping;
a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals;
A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location;
Based on the big data stored in the main server, a control unit that determines the degree of corrosion of buried piping by region for the management target area where the measurement unit is installed and where it is not installed through regression analysis based on deep learning or machine learning. containing
Soil erosion assessment monitoring system. An input unit for inputting buried piping data for measuring and processing corrosive factors;
terminal used by the user;
A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping;
a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals;
A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location;
Deep learning or machine learning is performed using the corrosion thickness data according to the corrosion factor obtained through the test and the measured value obtained through the measurement unit installed on the site, and based on the big data, the corrosion rate of the buried piping installed in the management target area is measured in a regional area. including a control unit that predicts each
Soil erosion assessment monitoring system. An input unit for inputting buried piping data for measuring and processing corrosive factors;
terminal used by the user;
A measurement unit having a multi-item IoT sensor and including a battery provided inside the main body and the main body that can be buried in the ground around buried piping;
a communication unit for transmitting and receiving data including measurement values measured by the measurement unit and for transmitting and receiving control signals;
A main server that stores measurement values and data input through the input unit and builds big data related to the state of buried piping and corrosion factors by location;
Based on the big data stored in the main server, it includes a control unit that quantifies the remaining life of buried piping installed in the management target area through regression analysis based on deep learning or machine learning and provides it by region.
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Characterized in that the control unit predicts and provides the location of leakage among the buried piping to be managed
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The multi-item IoT sensor measures at least one of soil resistivity, electrical conductivity, pH, oxidation-reduction potential, moisture content, chloride and sulfur oxide.
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The control unit controls the operation of the measurement unit and the communication unit, and the communication unit transmits measurement values and data to the main server.
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Characterized in that the control unit monitors the current state of the buried pipe based on the measured value of the measuring unit and delivers a warning message to the buried pipe related institution according to a predetermined standard
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Characterized in that the data transmission of the multi-item IoT sensor proceeds at intervals of one day
Soil erosion assessment monitoring system. According to claim 3,
When the degree of corrosion determined through regression analysis based on deep learning or machine learning is above a certain value, data transmission from the multi-item IoT sensor proceeds at intervals of 4 to 12 hours.
Soil erosion assessment monitoring system. According to claim 3,
When the degree of corrosion determined through regression analysis based on deep learning or machine learning is below a certain value, data transmission from the multi-item IoT sensor proceeds at intervals of 1 to 3 days.
Soil erosion assessment monitoring system. According to claim 4,
The data transmission interval of the multi-item IoT sensor is characterized in that the transmission interval is reduced as the corrosion rate of the buried pipe increases.
Soil erosion assessment monitoring system. According to claim 5,
The data transmission interval of the multi-item IoT sensor is characterized in that the transmission interval is reduced as the remaining life of the buried pipe is shorter
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Further comprising a display unit indicating the determination of the control unit
Soil erosion assessment monitoring system. According to claim 15,
Characterized in that the display unit is located in the central control room of the buried piping-related institution
Soil erosion assessment monitoring system. According to claim 1,
Further comprising a display unit indicating the determination of the control unit, characterized in that the corrosion evaluation result output by the display unit is displayed in different colors for each region
Soil erosion assessment monitoring system. According to claim 17,
In addition to being displayed in different colors for each region, the corrosion evaluation result is also displayed as a real-time numerical value.
Soil erosion assessment monitoring system. According to claim 17,
In addition to being displayed in different colors for each region, the corrosion evaluation results are also displayed as symbols or icons.
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The multi-item IoT sensor is characterized by being driven by a solar battery module
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The communication unit performs communication in a wireless communication method based on the narrowband Internet of Things
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
A plurality of multi-item IoT sensors are installed, but installed at intervals along the piping network of the buried piping, characterized in that the buried piping can be monitored based on the piping network of the buried piping
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The control unit evaluates the corrosion degree of the buried piping using the corrosion evaluation method standardized in accordance with the US national standard, and based on the evaluation result, the process of evaluating the life of the buried piping according to a predetermined standard is configured to be performed characterized by
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The buried piping is characterized in that any one of the water supply pipe, sewer pipe, gas pipe, heating pipe, oil pipe, water pipe, steam pipe, and chemical pipe
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Through the main server, it is characterized in that the corresponding information is selectively provided according to the user's request received from the terminal
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Characterized in that the control unit is included in the main server and configured
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The terminal is configured by installing a dedicated program on a computer connected to the Internet or installing a dedicated application program on a personal portable information processing terminal capable of communication including a smartphone or tablet PC.
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Characterized in that the measured value of the corrosion factor measured in real time through the measuring unit is stored in the main server, built in a GIS-based form, and provided integrated with figure data and property data
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
The control unit determines whether the state of the buried piping for each region is a corrosion-free state, an initial corrosion state, a corrosion progress state, or a replacement request state, and displays it on the terminal and / or display unit
Soil erosion assessment monitoring system. According to claim 29,
Corrosion-free state, initial corrosion state, corrosion progress state or replacement request state is characterized in that it is visually expressed
Soil erosion assessment monitoring system. According to claim 29,
Corrosion-free state, initial corrosion state, corrosion progress state or replacement request state is characterized in that it is expressed audibly
Soil erosion assessment monitoring system. According to claim 29,
Characterized in that the corrosion-free state, the initial corrosion state, the corrosion progress state, or the replacement required state is quantified and set by the manager according to the specifications of the buried piping and soil corrosive factors
Soil erosion assessment monitoring system. According to claim 29,
Characterized in that the corrosion-free state, the initial corrosion state, the corrosion progress state, or the replacement request state is quantified and set by the manager according to the use of the buried piping
Soil erosion assessment monitoring system. According to any one of claims 1 to 5,
Characterized in that the measurement unit can be controlled from the central control room of the buried piping-related institution
Soil erosion assessment monitoring system.

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