KR102553569B1 - How to manage a piping system that avoids foreseeable accidents - Google Patents

Abstract

The present invention is a method for managing a piping system to prevent accidents, in a state where the piping system including a plurality of water pipes is divided into a plurality of blocks, the management server, from the measuring instrument installed in the piping system Acquiring 1-1 measurement data including an actual water pressure measurement value, an actual flow rate value, and an actual water quality measurement value of a water pipe in a specific block in which the instrument is installed; The management server, based on the 1-1 measurement data, i-1) a physical input factor including the diameter or length of the water pipe included in the specific block and i-2) the water pipe included in the specific block Calculating a coefficient input factor of ; And the management server updates a calculation model for calculating a water pressure prediction value, a flow rate prediction value, or a water quality prediction value for the specific block based on the physical input factor and the coefficient input factor, and the digital twin model in which the updated calculation model is reflected. It provides a method comprising the step of generating.

Description

{How to manage a piping system that avoids foreseeable accidents}

The present invention relates to a method for managing a piping system to prevent accidents, and more specifically, in a state where the piping system including a plurality of water pipes is divided into a plurality of blocks, the management server, the piping system Obtaining 1-1 measurement data including actual water pressure measurement values, flow rate measurement values, and water quality measurement values of water pipes in a specific block in which the meters are installed, from a measuring instrument installed in the; The management server, based on the 1-1 measurement data, i-1) a physical input factor including the diameter or length of the water pipe included in the specific block and i-2) the water pipe included in the specific block Calculating a coefficient input factor of ; And the management server updates a calculation model for calculating a water pressure prediction value, a flow rate prediction value, or a water quality prediction value for the specific block based on the physical input factor and the coefficient input factor, and the digital twin model in which the updated calculation model is reflected. It relates to a method comprising the step of generating.

The block system is a system that configures the waterworks piping system (water supply pipe network) in large, medium, and small blocks, checks data such as water pressure, flow rate, and water quality of the block in real time and maintains the system based on this. .

The block system monitors water quality, pressure, and flow rate in real time and recognizes abnormal situations inside the block. Only 481 block monitoring systems are installed in the pipe network with a total length of 8,448,641m based on Busan Metropolitan City. By simple calculation, it can be seen that one block surveillance system is installed per 17,564m.

It is difficult to accurately grasp water quality, water pressure, and flow rate data at a point far from the measurement sensor during the approximately 17km section, which becomes an obstacle in identifying phenomena such as water quality deterioration and leakage in the piping system (water supply network).

Nevertheless, it is not feasible to install instruments in all sections of the actual piping system (water supply network) due to lack of economic feasibility. If the distance between the measuring sensors is long, if an accident related to the pipe network occurs, it is a reality that it is possible to process related civil complaints only by conducting a physical quantity survey by directly conducting a field survey of the corresponding point.

The establishment of a digital twin environment equipped through the existing waterworks block project, etc., has provided a sufficient hardware basis for monitoring the piping system (water pipe network), but the configuration of the software environment that can process and produce the data collected from hardware into meaningful information it was vague

Accordingly, the present inventor proposes a method for managing a piping system to prevent predicted accidents.

The present invention may have the following objects.

The present invention predicts future physical quantities as well as current physical quantities (water quality, water pressure, flow rate, etc.) for unmeasured areas inside the pipe network by introducing a digital twin model to help in the operation and management of the piping system by predicting piping accidents in advance. intended to provide.

In addition, the present invention aims to enable operational results and predictions for the future by introducing a digital twin model that simulates situations that may occur in reality.

In addition, an object of the present invention is to enable a manager to check water quality, water pressure, and flow rate data of the entire piping system (water supply pipe network) regardless of whether or not a meter is installed.

According to one embodiment of the present invention, in the method for managing a piping system for preventing accidents, in a state in which the piping system including a plurality of water pipes is divided into a plurality of blocks, the management server, the pipe Acquiring 1-1 measurement data including actual water pressure measurement values, flow rate measurement values, and water quality measurement values of a water pipe in a specific block in which the measurement system is installed, from an instrument installed in the system; The management server, based on the 1-1 measurement data, i-1) a physical input factor including the diameter or length of the water pipe included in the specific block and i-2) the water pipe included in the specific block Calculating a coefficient input factor of ; And the management server updates a calculation model for calculating a water pressure prediction value, a flow rate prediction value, or a water quality prediction value for the specific block based on the physical input factor and the coefficient input factor, and the digital twin model in which the updated calculation model is reflected. It includes a method characterized in that it comprises the step of generating.

In addition, according to another embodiment of the present invention, in the server for managing the piping system, in a state where the piping system including a plurality of water pipes is divided into a plurality of blocks, the meter from the instrument installed in the piping system A communication unit for obtaining 1-1 measurement data including an actual water pressure measurement value, an actual flow rate value, and an actual water quality measurement value of a water pipe in a specific installed block; database; And based on the 1-1 measurement data, i-1) a physical input factor including the diameter or length of the water pipe included in the specific block and i-2) a coefficient input factor of the water pipe included in the specific block , updating a calculation model that calculates a water pressure prediction value, flow rate prediction value, or water quality prediction value for the specific block based on the physical input factor and the coefficient input factor, and generating a digital twin model in which the updated calculation model is reflected. It includes a management server, characterized in that it comprises a processor to.

Thus, according to the present invention, there are the following effects.

According to the present invention, by introducing the digital twin model, not only current physical quantities (water quality, water pressure, flow rate, etc.) for unmeasured areas inside the pipe network, but also future physical quantities are predicted, and pipe accidents are predicted in advance, thereby contributing to the operation and management of the piping system. There is an effect of wanting to help.

In addition, according to the present invention, there is an effect of enabling operation results and predictions for the future by introducing a digital twin model that simulates situations that may occur in reality.

In addition, according to the present invention, there is an effect that the manager can check the water quality, water pressure, and flow rate data of the entire piping system (water supply pipe network) regardless of whether or not the sensor is installed.

1 is a diagram showing a schematic configuration of a management server according to an embodiment of the present invention.
2 is a diagram showing a process of generating a digital twin model according to an embodiment of the present invention.
3 is a diagram schematically illustrating a driving method of an operation model according to an embodiment of the present invention.
4 is a diagram specifically illustrating a process of selecting physical/coefficient input factors according to an embodiment of the present invention.
5 is a diagram exemplarily illustrating a kinetic model according to an embodiment of the present invention.
6 is a diagram illustrating a method of finding models and input factors for each block according to an embodiment of the present invention.
7 is a diagram showing a digital twin model for a piping system according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The detailed description of the present invention which follows refers to the accompanying drawings which illustrate, by way of illustration, specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable one skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different from each other but are not necessarily mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in one embodiment in another embodiment without departing from the spirit and scope of the invention. Additionally, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the detailed description set forth below is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all equivalents as claimed by those claims. Like reference numbers in the drawings indicate the same or similar function throughout the various aspects.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily practice the present invention.

1 is a diagram showing a schematic configuration of a management server according to an embodiment of the present invention.

As shown in FIG. 1, the management server 100 of the present invention includes a communication unit 110, a processor 120, and a database 130, and in some cases, unlike FIG. 1, the database 130 is not included. Maybe not.

The communication unit 110 of the management server 100 may be implemented with various communication technologies. That is, WIFI, WCDMA (Wideband CDMA), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), HSPA (High Speed Packet Access), Mobile WiMAX, WiBro , Long Term Evolution (LTE), 5G, 6G, Bluetooth, infrared data association (IrDA), Near Field Communication (NFC), Zigbee, wireless LAN technology, etc. may be applied. In addition, when connecting to the Internet and providing services, TCP/IP, which is a standard protocol for information transmission on the Internet, may be followed.

The process performed in the processor 120 of the management server 100 of the present invention will be reviewed together with FIG. 2 below.

2 is a diagram showing a process of generating a digital twin model according to an embodiment of the present invention.

The Digital Twin (DT) model is a model implemented with technology that simulates situations that may occur in reality with a computer by implementing a system that exists in reality as a digital twin in a virtual space of a computer. can make predictions possible.

If you build a digital twin-based piping system (water pipe network), you can analyze the flow of the pipe system (water pipe network) based on IoT-based measurement and collected data and express the results, through which you can plan and operate the water supply pipe network. , service and forecasting.

In order to build the digital twin model, a piping system (water supply network) including a plurality of water pipes is required, and the piping system (water supply network) may be computerized and GIS.

Also, the piping system may be divided into a plurality of blocks, and the size of each of the plurality of blocks may be different according to a setting. That is, the number of water pipes included in each block may be different.

At this time, the processor 120 of the management server 100 is the 1-1 measurement data including the actual water pressure measurement value, the actual flow rate value, and the actual water quality measurement value of the water pipe in the specific block in which the meter is installed from the meter installed in the piping system. can be obtained (S210).

Here, the measured value of water quality may correspond to the concentration of the target substance (eg chlorine) obtained from the measuring instrument.

The specific block may correspond to a block in which a meter is installed among a plurality of blocks included in the piping system. Accordingly, the processor 120 may obtain actual water pressure measurement values, flow rate measurement values, and water quality measurement values of the water pipe in the specific block from the measuring instrument in real time through the communication unit.

Next, the processor 120 obtains an operation model predicting the water pressure, flow rate, water quality, etc. for the specific block from the 1-1 measurement data including the actual water pressure measurement value, the actual flow rate value, and the water quality measurement value. can Below, a process of obtaining the operation model will be described.

3 is a diagram schematically illustrating a driving method of an operation model according to an embodiment of the present invention.

For reference, the calculation model can be driven (input) based on pipe properties and operational conditions, and the water pressure, flow rate, water quality, etc. for the water pipe in the block are predicted (output) through calculation. )can do.

For reference, the calculation model includes a hydraulic model and a water quality model, and a water pressure prediction value and a flow rate prediction value may be calculated in the hydraulic model, and a water quality prediction value may be calculated in the water quality model.

Here, the pipe characteristics include physical input factors that can be physically measured such as pipe diameter, pipe length, and pipe height and are recorded in the specification, roughness coefficient of the pipe, and chlorine decay coefficient of the water quality (chlorine). ), coefficient input factors obtained through literature, experiments, etc. may be included.

For reference, the above physical input factors are usually prepared based on construction specifications (ex design completion documents, etc.), but when installed in an actual piping system, the aging of the water pipe, change in pipe inner diameter, and It may actually be constructed differently from the physical input factor shown in the specification due to change, blockage, or non-connection.

In addition, the coefficient input factor may correspond to a conceptual numerical value based on experiments or literature values. Since the coefficient input factor changes flexibly according to the change in the physical characteristics of the water pipe or the compatibility of the inflow water, in order to reflect this, the present invention recalculates the coefficient input factor in real time (applied the same as before) to increase the accuracy of the predicted value. can increase

An operating condition corresponding to another basic value (input) for driving the calculation model may include pump operating information or valve operating information. In addition, the operating conditions may further include pressure in the pipe, flow rate in the pipe, and the like.

On the other hand, an operation model that matches each of a plurality of blocks included in the piping system of the present invention may be set, and at this time, the operation model and input factors (physical input factors, coefficient input factors, etc.) included in the calculation model are most suitable for each block. It can be set in each form.

This is because the actual water pipe changes fluidly, and the reaction of substances such as chlorine attenuation has various forms for each section (block) of the water pipe.

4 is a diagram specifically illustrating a process of selecting physical/coefficient input factors according to an embodiment of the present invention.

5 is a diagram exemplarily illustrating a kinetic model according to an embodiment of the present invention. 6 is a diagram illustrating a method of finding models and input factors for each block according to an embodiment of the present invention.

First, the processor 120 of the management server 100 may obtain 1-1 measurement data of the water supply pipe in a specific block. That is, the processor 120 may obtain actual water pressure measurement values, flow rate measurement values, and water quality measurement values from a measuring instrument of a water pipe in a specific block.

In this case, the processor 120 may obtain an initial water pressure prediction value, an initial flow rate prediction value, and an initial water quality prediction value for a specific block from an initial calculation model composed of predetermined candidate physical input factors and candidate coefficient input factors.

Specifically, the processor 120 obtains an initial water pressure prediction value and an initial flow rate prediction value for a specific block from an initial hydraulic model composed of candidate physical input factors and candidate coefficient input factors, and consists of candidate physical input factors and candidate coefficient input factors. An initial water quality prediction value for a specific block may be obtained from the initial water quality model.

Next, the processor 120 may obtain a first difference value by calculating the difference between the initial predicted water pressure value and the actually measured water pressure value, and obtain a second difference value by calculating the difference between the initial predicted flow rate value and the actually measured flow rate value. In addition, a third difference value may be obtained by calculating a difference between an initial predicted water quality value and an actually measured water quality value.

Also, the processor 120 may calculate an evaluation value based on the first difference value, the second difference value, and the third difference value. Here, the evaluation value may be determined through the following formula.

Equation 1) Evaluation value = W1 * first difference value + W2 * second difference value + W3 * third difference value (however, W1, W2, and W3 are weights for each factor)

When the calculated evaluation value is smaller than the preset value, the processor 120 may select candidate physical input factors and candidate coefficient input factors as physical input factors and coefficient input factors used to update the calculation model. That is, the candidate physical input factors and the candidate coefficient input factors can be considered as input factors for a calculation model (hydraulic model, water quality model) matching a specific block.

Conversely, when the calculated evaluation value is greater than or equal to the preset value, the processor 120 selects a second candidate physical input factor and a second candidate coefficient input factor other than the candidate physical input factor and the candidate coefficient input factor; Water pressure, flow rate, and water quality can be re-predicted from the hydraulic model and water quality model composed of these.

In addition, the processor 120 may calculate a difference between the re-predicted water pressure value and the actually measured water pressure value to obtain a first 'difference value, and obtain a second' difference value by calculating the difference between the re-predicted flow rate value and the actually measured water pressure value. The third 'difference value may be obtained by calculating the difference between the re-estimated water quality value and the actually measured water quality value, and the evaluation value may be recalculated from the difference value.

The processor 120 compares the recalculated evaluation value with a preset value, and when the recalculated evaluation value is smaller than the preset value, the second candidate physical input factor and the second candidate coefficient factor are used to update the calculation model. It can be re-selected as the physical input factor and coefficient input factor used for

Conversely, when the recalculated evaluation value is greater than or equal to the preset value, the input factor may be re-selected while the process is performed again.

In the present invention, physical input factors and coefficient input factors can be recalculated in real time through comparison with a hydraulic/water quality model based on actually measured data such as water pressure, flow rate, and water quality, and the digital twin model can be updated.

The above method is a try and error approach, and can correspond to a method of deriving the smallest error by comparing the result of driving a hydraulic/water quality model with actually measured data after inputting candidate values (physical/coefficient input factors). .

At this time, in order to speed up the operation, a method of quickly finding a global solution by applying a heuristic algorithm such as a genetic algorithm may be considered.

For reference, the above-described water quality model may be applied as a kinetic model based on a mass transport model and a chemical reaction in a piping system. Here, mass transport may be based on the following formula.

Equation 2)

is the concentration of

th constituent at point

and time

,

is the source and sink term and

,

are the mass fluxes through longitudinal and radial directions, respectively)(where,

is the concentration of

the constituent at point

and time

,

is the source and sink term and

,

are the mass fluxes through longitudinal and radial directions, respectively)

는 상수관에서 Kinetic model로 주로 표현되어 지고, 이는 일반적인 반응 공학상의 모형을 의미할 수 있다. 위 mass transport 모형에서의 U와 V는 각각 longitudinal velocity와 radial velocity를 나타내는 물리 인자에 해당할 수 있다. 즉, 수질모형의 적용을 위해서는 유속이 필수적으로 요구될 수 있는 것이다. 이 때문에, 본 수질 모형이 최종적으로 수질을 예측하는 기술이지만 이를 위해서는 유량(유속) 및 압력과 같은 물리량의 예측도 요구되는 것이다.also,

is mainly expressed as a kinetic model in the constant tube, which may mean a general reaction engineering model. U and V in the above mass transport model may correspond to physical factors representing longitudinal velocity and radial velocity, respectively. In other words, the flow rate can be essentially required for the application of the water quality model. For this reason, although this water quality model is a technique for finally predicting water quality, it also requires prediction of physical quantities such as flow rate (flow rate) and pressure.

를 고려할 때, 도 5과 같은 Kinetic model들을 고려할 수 있다. 또한, 상기 모형들 중에서 각 블록에 가장 매칭하는 모형(수질 모형) 및 입력인자를 찾기 위한 프로세스는 도 6을 참조하면 확인할 수 있다.In addition, according to an embodiment of the present invention, the mass transport equation

When considering , kinetic models such as those shown in FIG. 5 may be considered. In addition, a process for finding a model (water quality model) that best matches each block among the models and an input factor can be confirmed with reference to FIG. 6 .

In some cases, the kinetic model may be determined according to actual measured values of water pressure, measured flow rate, and measured water quality obtained from a measuring instrument or the like. That is, when the actually measured water pressure, flow rate, water quality, etc. differ by more than a predetermined value, different kinetic models can be used.

Eventually, the processor 120 of the management server 100 determines the diameter or length of the water pipe included in the specific block based on the 1-1 measurement data (the actual water pressure measurement value, the flow rate measurement value, and the water quality measurement value obtained from the measuring instrument). A physical input factor including a and a coefficient input factor of a water pipe included in a specific block may be calculated (S220).

In addition, the processor 120 may update a calculation model (hydraulic model, water quality model) that calculates a hydraulic pressure prediction value, a flow rate prediction value, or a water quality prediction value for a specific block based on the calculated physical input factor and coefficient input factor.

Next, the processor 120 of the management server 100 may generate a digital twin model in which the updated operation model is reflected (S230). Regarding the digital twin model, it will be reviewed together with FIG. 7 below.

7 is a diagram showing a digital twin model for a piping system according to an embodiment of the present invention.

7 is a digital twin model representing a piping system, showing three blocks for each period (past/real time/future). That is, the digital twin model represents the piping system (three blocks) and can represent past/present (real-time)/future prediction information.

A calculation model for calculating water pressure, flow rate, water quality, etc. may be set for each of the plurality of blocks, and as described above, the calculation model (hydraulic model, water quality model) for a specific block in which the instrument is installed is the 1-1 measurement data (water pressure measured value, measured flow rate, measured value of water quality).

In addition, the processor 120 of the management server 100, according to an embodiment of the present invention, after a certain time (future) of the water pipe in the specific block based on the pipe characteristics and operating conditions of the operation model matching the specific block It is possible to calculate the first-second measurement data including the water pressure prediction value, the flow rate prediction value, and the water quality prediction value of .

Specifically, the processor 120 generates a plurality of calculation models for a plurality of specific blocks (instruments are installed), a plurality of physical input factors/measurement input factors, and measured values for each of water pressure/flow rate/water quality from each. , predicted values for each of water pressure/flow rate/water quality, information on each water pipe in a specific block (ex pipe diameter, pipe length), etc. may be obtained and stored in the database 130.

In addition, the processor 120 predicts the degree of change of the water pipe in a current specific block after a certain time (future) (ex change of pipe inner diameter, change of configuration due to pipe rupture, etc.: the change in physical properties of the pipe is determined according to statistical values It is possible to predict the physical input factor and the coefficient input factor according to information stored in the database 130 and the information stored in the database 130 to calculate the pipe characteristics corresponding thereto.

In addition, operating conditions (ex. pump operation information, valve operation information, etc., pressure in the pipe, flow rate in the pipe, etc.) after a certain time (future) can be acquired.

The processor 120 may acquire pipe characteristics and operating conditions after a certain time (future) for the specific block, and may also obtain an operation model corresponding thereto, and through this, the schedule of the water pipe in the specific block It is possible to calculate the 1st-2nd measurement data including the water pressure prediction value after time (future), the flow rate prediction value, and the water quality prediction value.

In addition, the processor 120, according to an embodiment of the present invention, based on the pipe characteristics and operating conditions of the calculation model matching the other block (meters are not installed), the water pressure prediction value, the flow rate prediction value, and the water quality prediction value of the water pipe in another block 2-1 measurement data including may be calculated.

Specifically, the processor 120 inputs physical input factors and coefficients according to the physical information (diameter, length, etc. of the pipe included in the specification, etc.) and the information stored in the database 130 of the water pipe in another block (meters are not installed). By predicting the factor, the corresponding pipe characteristics can be calculated.

In addition, the processor 120 may obtain operating conditions of water pipes in other blocks (eg pressure in pipes according to pump operation information, valve operation information, etc., flow rate in pipes, etc.).

The processor 120 may obtain pipe characteristics and operating conditions for the other block, and may also obtain an operation model corresponding thereto, and through this, estimate the water pressure, flow rate, and water quality of the water pipe in the other block. It is possible to calculate the 2-1 measurement data included.

That is, the processor 120 may perform learning based on information included in the database 130 and information obtained from a specific block, and as a result of learning, a calculation model for the future of a specific block and calculation for other blocks. It is possible to calculate a model, etc., and obtain predicted values for water pressure/flow/water quality for each.

In addition, the processor 120 of the management server 100 is based on the pipe characteristics and operating conditions of the calculation model matching the other block, the water pressure prediction value, the flow rate prediction value, and the water quality prediction value after a certain time (future) of the water pipe in another block. 2-2 measurement data including may be calculated.

As a result, the processor 120 of the present invention can provide expected water pressure/flow/water quality, etc. at unmeasured points because there is no meter in the block, which can be used to establish an operation plan for equalization of residual chlorine, calculate the amount of chlorine injection, etc. It can also be used to develop a method for managing residual chlorine in waterworks.

In addition, according to an embodiment of the present invention, when the pressure in the water supply pipe of a specific block in the future is low, the processor 120 of the management server 100 plans an additional pressure supply or valve operation plan to solve the pressure problem. can be established, and if a low flow rate occurs in a specific section in the future, a countermeasure is established by considering the water outage in the area, and at the same time, it is possible to prepare for incidental water quality problems caused by lowering the hydraulic retention time. can

In addition, when it is predicted that a water quality problem in a specific block (region) will occur, the processor 120 can prevent the problem in advance by establishing a drainage plan.

In addition, since the processor 120 can predict water quality, water pressure, flow rate, etc. in the future piping system, it will be helpful in setting up an operation plan for the piping system and identifying problem elements.

On the other hand, the processor 120 of the present invention, as shown in Figure 7, the 1-1 measurement data (current) and the 1-2 measurement data (future) corresponding to the water pipe in a specific block, the water pipe in another block The corresponding 2-1 measurement data (current) and 2-2 measurement data (future) can be displayed separately by time and location on the digital twin model.

The processor 120 may enable an administrator to check only desired information through a filter, for example, to display only a block including a water supply pipe indicating a water pressure equal to or greater than a first predetermined value, or to display a concentration equal to or greater than a second predetermined value. It is also possible to display only the blocks that contain the branch.

In addition, the processor 120 of the management server 100 may display blocks in different colors according to the range of each numerical value, so that a manager can easily grasp each numerical value.

In addition, the processor 120 may display measurement data corresponding to a time desired by a manager for each block. Specifically, measurement data of a current time point for a specific block and measurement data of a future time point for another block may be displayed in the digital twin model.

In FIG. 7, only the present (real-time) and future data of one specific block and one other block are displayed, but data on a plurality of other blocks and data on the past may also be displayed together. By accessing the digital twin model, measurement data (water pressure, flow rate, water quality) of each of a plurality of blocks included in the piping system can be obtained.

Embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in the art of computer software. Examples of computer-readable recording media include hardware devices specially configured to store and execute program instructions, such as a hard disk, ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes generated by a compiler. The hardware device may be configured to act as one or more software modules to perform processing according to the present invention and vice versa.

In the above, the present invention has been described by specific details such as specific components and limited embodiments and drawings, but these are provided to help a more general understanding of the present invention, and the present invention is not limited to the above embodiments. , Those skilled in the art to which the present invention pertains may seek various modifications and variations from these descriptions.

Therefore, the spirit of the present invention should not be limited to the above-described embodiments and should not be determined, and not only the claims described below but also all modifications equivalent or equivalent to these claims fall within the scope of the spirit of the present invention. will do it

100: management server
110: Communication Department
120: processor
130: database

Claims (1)

In a method for managing a piping system to prevent a predicted accident,
In a state where the piping system including a plurality of water pipes is divided into a plurality of blocks,
(a) obtaining, by the management server, 1-1 measurement data including actual water pressure measurement values, flow rate measurement values, and water quality measurement values of water pipes in a specific block in which the meters are installed, from meters installed in the piping system;
(b) The management server, based on the 1-1 measurement data, i-1) a physical input factor including the diameter or length of the water pipe included in the specific block and i-2) included in the specific block Calculating a coefficient input factor including the roughness coefficient of the water pipe or the attenuation constant of water quality (chlorine); and
(c) The management server updates a calculation model for calculating a water pressure prediction value, a flow rate prediction value, or a water quality prediction value for the specific block based on the physical input factor and the coefficient input factor, and the updated calculation model is reflected. Generating a twin model; including,
The calculation model is driven based on i-1) pipe characteristics including the physical input factor and the coefficient input factor and i-2) operating conditions including pump operation information or valve operation information,
In a state in which calculation models matching each of the plurality of blocks are set,
The management server,
Based on the pipe characteristics and operating conditions of the calculation model matching the specific block, 1-2 measurement data including water pressure prediction values, flow prediction values, and water quality prediction values after a certain time of the water pipe in the specific block are calculated; or
Based on the pipe characteristics and operating conditions of the calculation model matching the other block, a process of calculating the 2-1 measurement data including the water pressure prediction value, flow rate prediction value, and water quality prediction value of the water pipe in the other block is calculated,
The management server,
Based on the pipe characteristics and operating conditions of the calculation model matching the other block, the 2-2 measurement data including the water pressure prediction value, flow rate prediction value, and water quality prediction value after a certain time of the water pipe in the other block is calculated,
The management server,
ii-1) the 1-1 measurement data and the 1-2 measurement data corresponding to the water pipe in the specific block, ii-2) the 2-1 measurement data corresponding to the water pipe in the other block, and The 2-2 measurement data is classified and displayed on the digital twin model by time and location,
The management server displays only blocks including water pipes having a water pressure or concentration equal to or greater than a predetermined value through a filter by a manager,
In the state in which the 1-1 measurement data of the water pipe in the specific block is acquired,
The management server,
Obtaining an initial water pressure prediction value, an initial flow rate prediction value, and an initial water quality prediction value for the specific block from an initial calculation model composed of candidate physical input factors and candidate coefficient input factors;
A first difference value is obtained by calculating a difference between the initial water pressure prediction value and the actual water pressure measurement value, and a second difference value is obtained by calculating a difference between the initial flow rate prediction value and the flow rate measurement value, and the initial water quality prediction value and the Obtaining a third difference value by calculating the difference between the measured water quality values;
An evaluation value is calculated through a formula determined based on the first difference value, the second difference value, and the third difference value, and when the evaluation value calculated through the formula is smaller than a preset value, the candidate physical input selecting a factor and the candidate coefficient input factor as the physical input factor and the coefficient input factor used to update the calculation model;
The formula for calculating the evaluation value is,
Evaluation value = W1 * first difference value + W2 * second difference value + W3 * third difference value,
The W1, W2, W3 is a method for managing a piping system for preventing accidents, characterized in that corresponding to the weight for each factor.

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