KR20150106210A - Monitoring based expert system for dredged soil transporting - Google Patents

Abstract

The present invention relates to a dredged soil transferring expert system, and, more specifically, to a system for transferring dredged soil through a pipeline to a location at a long distance. The dredged soil transferring expert system enables a user to determine flow characteristics such as a sinking speed by monitoring, in real time, a flow state in the pipeline such as pressure and a flow speed of the dredged soil transferred through the pipeline. Moreover, the dredged soil transferring expert system enables the user to suggest whether pressure of a pump should be increased after quickly determining whether current pressure of the pump is appropriate based on degrees of decrease in pressure and the flow speed.

Description

[0001] MONITORING BASED EXPERT SYSTEM FOR DREDGED SOIL TRANSPORTING [0002]

The present invention relates to a dredged soil transfer expert system, and more particularly, to a system for transferring dredged soil to a long distance by piping, in which real-time monitoring of the flow state of piping such as pressure and flow rate of dredged soil conveyed through piping It is possible to quickly determine whether the present pump pressure is appropriate based on the amount of pressure drop and the degree of decrease in the flow velocity, Monitoring based dredged soil transfer expert system.

Generally, dredging (sand, mud, etc.) dredged by a dredger is delivered to a land treatment plant for dredging of coastal or riverbed and used as landfill or civil engineering / construction material. In such a dredging operation, the performance of the dredger and the dredging production amount are analyzed in real time, ultimately improving the dredging efficiency. In order to analyze dredging performance (pump efficiency) and dredging productivity, it is necessary to measure the radioactive density, flow rate, pressure, differential pressure, etc. of the dredged soil.

On the other hand, researches on so-called "ubiquitous dredging monitoring system" for analyzing performance and efficiency in real time about dredging, delivery and environmental influence are being carried out. This ubiquitous dredging monitoring system includes a so-called 'dredging distribution pipe monitoring system' for real-time analysis of the performance (pump efficiency) and dredging production of dredger, and also provides integrated monitoring System.

Attempts have been made to monitor the inside of the delivery pipe for conveying the dredged soil. Recently, as disclosed in Korean Patent No. 10-0864162, there has been known a so-called " manometer " A differential pressure measuring device or the like.

However, such a conventional differential pressure measuring apparatus has problems that the apparatus is too large to be applied to a dredge delivery pipe for conveying dredged soil at high pressure, or that it is inconvenient for actual use. The conventional differential pressure measurement apparatus is disclosed in Korean Patent No. 10-0864162 As shown in FIG. 1, the dredging distribution pipe can be improved.

However, the improved differential pressure measuring device, which can measure the pressure of the dredging delivery pipe, is advantageous in that it makes it easier to measure the differential pressure, but provides accurate information on what the measured differential pressure means and what action to take However, since there is a problem that the specialists analyze by the measurement value measured by the differential pressure measuring device, the meaning of the measured differential pressure and the action to be taken are determined only. Therefore, sediments in the long pipe There is a problem in that it is not possible to quickly and appropriately cope with the reduction in the conveying efficiency of the dredged soil generated as the accumulation occurs.

Also, it is common that the differential pressure measured according to the kind or characteristic of the inclusions or particles constituting the dredged soil is different, and the proper coping methods thereof are also different. In general, there is a general dredged soil transportation system As operators or workers, it has been difficult to take appropriate judgments and measures to effectively maintain or improve the transport efficiency of dredged soil depending on the content or type or characteristics of the dredged material.

As a result, general operators or workers who do not have the expertise on the characteristics of dredged soil can easily grasp the flow characteristics of the dredged soil transported. In addition, appropriate measures such as pump pressure A new system that can improve the conveying efficiency of the dredged soil is further demanded by making it possible to quickly and accurately judge whether or not the pressurization can be performed to adjust the pump pressure.

Korean Patent No. 10-0864162

The present invention relates to a conveying system for conveying dredged soil to a long distance by piping, which can monitor the flow state of piping such as pressure and flow rate of dredged soil conveyed through piping in real time to determine flow characteristics such as settling velocity Based dredging transfer expert system that can promptly determine whether the current pump pressure is appropriate based on the degree of decrease in pressure drop and flow rate, and then accurately indicate whether or not the pump pressure is pressurized .

A monitoring-based dredging soil transfer expert system for solving the above-

An experimental data storage unit for storing experiment data measured in an experiment using a sample of dredged soil transferred through a piping in a knowledge base; A sensor unit installed in the pipeline for monitoring a flow state of the dredged soil by measuring the pressure and the flow rate of the dredged soil conveyed through the piping; A data collecting unit for converting a monitoring value, which is measured by the sensor unit into a pressure and a flow rate, into a digital value together with a measurement time and storing the digital value in a knowledge base; A data analyzer for receiving the monitoring value converted by the data collecting unit by wired / wireless communication means and calculating a friction coefficient and a sedimentation rate using the monitoring value and the experimental data; Comparing the flow characteristic of the dredged soil detected by the monitoring value measured by the sensor unit with the flow characteristic used during the past dredged soil transportation or comparing with the state index calculated by the experimental data stored by the experimental data storage unit An expert reasoning unit for evaluating whether or not the present pump pressure is suitable for the flow characteristics recognized by the monitoring value of the dredged soil; And a display unit for displaying the monitoring value converted by the data collection unit and whether the pump pressure evaluated by the expert reasoning unit is appropriate.

At this time, the experimental data storage unit extracts a state index by an unsupervised learning based pattern recognition technique based on experimental data obtained by experimenting a sample of dredged soil, and then stores the index value together with the knowledge base .

In addition,

A Reynolds number calculation unit for calculating a Reynolds number Re indicating a ratio of an inertia force and a viscous force; A friction coefficient calculating unit for calculating a friction coefficient (f) in a pipe to which the dredged material is fed when the Reynolds number (Re) is a value calculated by the Reynolds number calculating unit; A minimum fluidization speed calculation unit for calculating a minimum fluidization speed indicating a minimum velocity at which the dredged particles deposited in the piping start moving in the piping; And a sedimentation velocity calculation unit for calculating a sedimentation velocity indicating a maximum velocity at which the dredged particle starts to deposit in the pipe when the flow velocity is small.

In addition, the expert-

A past data storage unit for cumulatively storing the monitoring values measured during the dredging press operation of the past and the flow characteristics based on the monitoring values; And a pump pressure evaluating unit for evaluating a current flow characteristic by a value calculated by the data analyzing unit using the monitoring value measured by the sensor unit at present and presenting whether the pump pressure is proper or not. do.

At this time, the pump pressure evaluating unit compares the monitoring value currently measured by the sensor unit and the value calculated by the data analyzing unit with past data stored in the knowledge base in relation to the past dredged soil pressurization, And a past data comparing unit for determining suitability.

The pump pressure evaluating unit may be configured to calculate the pump pressure based on the experimental data showing the physical properties of the currently transported dredged soil sample stored in the knowledge base by the experiment data storage unit and the supervised learning based on the monitoring value measured by the sensor unit. based algorithm pattern recognition technique to determine the suitability of the current pump pressure.

The present invention is capable of easily grasping the flow characteristics such as the friction coefficient and the sedimentation rate by monitoring the flow state in the piping such as the pressure and the flow rate of the dredged soil conveyed through the piping in real time.

Further, the present invention can quickly determine whether or not the present pump pressure is proper based on the amount of pressure drop and the degree of decrease in the flow rate in piping over a long distance where the dredged soil is transported, have.

Further, the present invention is characterized in that the mortar rate (moisture content), the viscosity, the porosity, and the particle size, which are inherent characteristics of the actually delivered dredged material itself. The sedimentation rate at which the dredged soil can be deposited in the piping is calculated by the value derived by the density, and then the pressure of the pump pressure for maintaining the flow rate that can prevent deposition of the dredged soil is inferred, System operators or workers who lack knowledge may be able to quickly and accurately determine whether the pump pressure is adjusted correctly.

1 is a block diagram of a monitoring-based dredging soil transfer expert system according to the present invention;
2 is a table and graph showing viscosity test results, calibration, and estimated viscosity of a dredged soil sample stored in an experimental data storage unit according to the present invention.
3 is a table and graph showing the lowest flow rates calculated by the data analyzer according to the present invention.
4 is a graph showing the velocity ratio of the lowest flow velocity and the sedimentation velocity calculated by the data analysis unit according to the present invention.
5 is a graph showing the friction coefficient calculated by the data analysis unit according to the present invention.
FIG. 6 is a table and a graph showing the transfer distance for each flow rate according to the pressure drop amount calculated by the monitoring value measured by the sensor unit according to the present invention.
7 is a graph showing the pump power required to achieve the target flow rate derived from the data analysis unit according to the present invention.
8 is a schematic view showing a process of evaluating the flow characteristics of the dredged soil in the expert reasoning unit according to the present invention.
FIG. 9 is a schematic diagram showing the derivation of a state index using monitoring data, which is a monitoring value, according to the present invention, and whether the pump pressure is increased or decreased according to the state index. FIG.

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

1 is a block diagram of a monitoring-based dredged soil transfer expert system according to the present invention.

Referring to FIG. 1, the monitoring-based dredged soil transfer expert system according to the present invention includes an experimental data storage unit 100 for storing experiment data measured by an experiment using a sample of the dredged soil itself, A sensor unit 200 installed in the pipe and monitoring the flow state of the dredged soil by measuring the pressure and flow rate of the dredged soil conveyed through the pipe, A data collection unit (300) for converting the monitoring value into a digital value together with the measurement time and storing the digital value in a knowledge base; and a monitoring unit for receiving the monitoring value converted by the data collection unit by wired / wireless communication means, A data analyzing unit 400 for calculating a friction coefficient and a sedimentation speed using the sensor unit, Comparing the flow characteristics of the dredged soil to be analyzed with the flow characteristics used in the past dredged soil transfer or comparing with the state index calculated by the experimental data stored by the experimental data storage section, (500) for evaluating whether or not the pump pressure is appropriate for the flow characteristics recognized by the monitoring value of the dredged soil, And a display unit 600.

The experimental data storage unit 100 stores the dredged soil so that the flow characteristics of the dredged soil transferred through the piping can be appropriately determined according to the physical properties of the dredged soil, that is, the flow characteristics according to the soil conditions of the dredged soil can be accurately determined. After collecting the samples, the durability of the dredged soil is measured by various indoor experiments using the samples, and the results of the measurements are stored in the knowledge base 700. In FIG. 2, only the table showing the viscosity test results, the calibration according to the water content, and the table showing the estimated viscosity reflecting the water content are shown. However, the experimental data on the other properties to be measured are also experimentally measured And may be stored.

At this time, the experimental data stored in the knowledge base 700 after the measurement of the dredged soil samples are shown in the following manner. The damping ratio (water content) indicating the ratio of the dredged soil to the water contained in the dredged soil, And porosity, particle size, and density. The moisture content (moisture content), viscosity, porosity, particle size, and density stored in the knowledge base 700 by the experiment data storage unit 100 may be determined by the lowest flow according to the soil condition of the dredged soil currently being transported in the data analysis unit It can be used as a basic data for calculating the speed.

In addition, the experimental data measured by testing the dredged soil sample not only stores the measured values, but also derives the state index by an unsupervised learning based algorithm pattern recognition technique, 700). ≪ / RTI > Accordingly, even if there is no experimental data or construction data obtained in the past dredged soil construction process, the expert reasoning unit 500 can provide basic data for determining whether the pump pressure is appropriate. At this time, it is needless to say that the data such as the design flow rate and the conveyance distance can be given separately depending on the site conditions and the purpose of conveying the dredged soil.

The sensor unit 200 includes a pressure sensor 210 for measuring the pressure of the dredged soil conveyed through the piping and an ultrasonic flow rate sensor 220 for measuring the flow rate of the dredged soil.

At this time, the pressure sensor 210 includes a first pressure sensor installed at a pressure feeding start position close to a pump that sucks dredged soil and supplies the dredged soil to a pipe, and a second pressure sensor installed at a position close to the discharge port, And is configured to monitor a pressure drop amount by a difference in pressure measured by the first and second pressure sensors. The greater the amount of pressure drop thus calculated, the greater the friction within the pipeline through which the dredged soil is conveyed, so that it is easy to grasp that the dredged soil should be supplied at a higher pump pressure.

Also, the ultrasonic flow rate sensor 220 may include a first ultrasonic flow rate sensor installed at a pressure feeding start position close to a pump that sucks dredged soil and feeds the dredged soil to a pipe, and a second ultrasonic flow velocity sensor installed at a position close to the discharge port, 2 ultrasonic flow velocity sensor to measure the flow velocity profile of the dredged soil moving through the pipe. In this case, when measuring the flow velocity at which the dredged soil is conveyed by the depth of the pipe cross-section, the flow velocity profile can be measured by the depth of the pipe cross-section.

The data acquisition unit (DAQ) 300 converts a monitoring value, which is measured by the sensor unit, into a digital value for use as a basic data for calculation in the data analysis unit, In the knowledge base 700 together with the information representing the information.

At this time, the knowledge base 700 not only stores the monitoring value of the currently measured dredged soil, the experimental data of the dredged soil inputted through the experiment data storage unit, but also accumulates the monitoring value and the experimental data measured in the past when the dredged soil is pressed. , Which can be used as a comparative data for judging the adequacy of the pump pressure at the time of transferring the dredged soil representing similar experimental data.

The data analyzing unit 400 receives the monitoring value converted by the data collecting unit 300 by the wired or wireless communication unit and then transmits the dredged soil And a friction coefficient and a sedimentation velocity which can grasp the flow characteristics of the fluid.

Accordingly, the data analysis unit 400 includes: a Reynolds number calculation unit 410 for calculating a Reynolds number Re indicating a ratio of an inertia force and a viscous force; and a Reynolds number calculation unit 410 for calculating a Reynolds number Re from the Reynolds number A friction coefficient calculating unit 420 for calculating a friction coefficient f in the piping to which the dredged soil is to be delivered at the time when the dredged silt particles are discharged from the piping, A fluidization speed calculating unit 430 and a sedimentation velocity calculating unit 440 for calculating a sedimentation velocity indicating the maximum velocity at which the dredged particle starts to deposit in the pipe when the flow velocity is small.

At this time, the Reynolds number calculation unit 410 calculates the Reynolds number using the following equation (1) using the viscosity of the dredged soil stored in the knowledge base, the flow velocity value measured at the sensor unit, , It is possible to calculate the Reynolds number Re.

Where v _s is the mean velocity of the flow, L is the characteristic length, μ is the viscous coefficient of the fluid, v is the kinetic viscosity of the fluid, and ρ is the density of the fluid. At this time, the characteristic length is defined as follows. For example, for flow in a pipe with a circular cross section, the characteristic length is the diameter of the pipe. If the cross section is not circular, the characteristic length is defined as the hydraulic diameter. In the case of flow over a plate, the characteristic length is the length of the plate, and the characteristic velocity is the velocity of the free stream. Within the boundary layer on the plate, the application of the laminar or turbulent flow is determined by the Reynolds number for the length measured from the leading edge of the plate.

When the Reynolds number Re calculated based on the physical properties of the dredged soil is 300 to 10 ⁵ , the friction coefficient calculating unit 420 calculates the friction coefficient f in the smooth pipe through which the dredged soil is fed, Can be calculated by the following equation (2). &Quot; (2) " 5 shows an example of the coefficient of friction calculated by the friction coefficient calculating unit 420. When the flow rate is fast (indicated by blue or green in FIG. 5), the coefficient of friction is small and the flow rate is slow , The friction coefficient is calculated to be large.

)을 산출할 수 있게 된다.In addition, the lowest fluidization speed calculator 430 calculates an Ergun equation, which is a function formula for the density, shape coefficient, viscosity, particle size, and porosity of the dredged soil indicating the physical properties of the dredged soil conveyed through the piping, The following equation (3) can be used to determine the minimum fluidization speed (the lowest fluidization velocity) that indicates the minimum velocity at which the already deposited dredged particle starts to move in the pipe

) Can be calculated.

Accordingly, when it is determined that there is a large amount of sediment deposited in the piping due to the pressure and flow rate monitoring values measured through the sensor unit, the pump pressure is derived to a pressure capable of maintaining the flow rate of the dredged soil above the minimum fluidization speed It is possible to improve the feeding efficiency of the dredged soil.

)는 도 3에 도시된 좌측 표와 같이 준설토의 입도, 형상계수, 밀도, 함수율, 점도 또는 공극률 등에 의해 산출될 수 있으며, 준설토의 물성을 나타내는 입도, 형상계수, 밀도 또는 공극률 등의 각 매개변수 별 최대유동속도는 도 3의 우측에 나타난 바와 같이 산출될 수 있게 된다.The thus calculated lowest flow velocity (

Can be calculated by the particle size, shape factor, density, water content, viscosity or porosity of the dredged soil as shown in the left table shown in FIG. 3, and can be calculated by using parameters such as particle size, shape coefficient, density or porosity The maximum maximum flow velocity can be calculated as shown in the right side of FIG.

)에 대한 함수식을 나타내는 하기의 [수학식 4]에 의하여 산출할 수 있게 된다. 이러한 [수학식 4]는 상기 [수학식 3]과 Stokes 법칙을 이용하여 도출될 수 있으며, 이와 같이 산출되는 침강속도에 의해 배관내에 퇴적층이 형성되는 퇴적거리를 구할 수 있게 된다.The sedimentation velocity calculator 440 calculates the sedimentation velocity u _t , which is the maximum velocity at which the sedimentation of the dredged particles starts when the flow velocity is small, with the shape coefficient Ψ, the porosity and the minimum fluidization velocity

(4) " (4) " (4) " Equation (4) can be derived using Equation (3) and the Stokes law, and the sedimentation distance at which the sediment layer is formed in the piping can be obtained by the sedimentation rate thus calculated.

The formation of such a sediment layer induces a spatial change in the cross section of the pipe through which the dredged soil is transported to change the flow characteristics such as the flow velocity and the volume ratio between the upper part and the lower part is changed on the basis of the cross section of the pipe, It is preferable to preliminarily set the height thereof. Accordingly, when the flow rate is excessively reduced by the monitoring value measured by the sensor unit, the sediment layer is recognized as being formed at a height higher than the allowable height, and the dredged soil is pressed by the pump at a higher pressure, The pressure and flow rate of the dredged soil can be maintained at a certain level or more, thereby improving the feeding efficiency of the dredged soil.

As described above, the velocity ratio representing the ratio between the settling velocity and the minimum flow velocity calculated by the lowest flow rate calculating unit 430 and the settling velocity calculating unit 440 can be calculated as shown in FIG. 4 for each shape coefficient .

The expert reasoning unit 500 includes a past data storage unit 510 for cumulatively storing monitoring values measured during a dredged soil pressing operation in the past and flow characteristics applied based on the monitoring values in a knowledge base, And a pump pressure evaluating unit 520 for evaluating the current flow characteristics according to the value calculated by the data analyzing unit and presenting the suitability of the pump pressure.

The past data storage 510 stores the physical properties of the dredged soil that had been pushed in the past, the flow state of the pressure and the flow rate measured at the time of the sensor unit, and the pump pressure that was requested in accordance with the change of pressure and flow velocity at that time, In the knowledge base 700 as shown in FIG.

In this way, when the dredged soil having similar properties is transferred by storing the data measured or used in the past dredged soil pressurization, it can be used as the basic data for determining the flow characteristics of the dredged soil currently being transported and the adequacy of the pump pressure. .

Also, the pump pressure evaluating unit 520 compares the monitoring value currently measured by the sensor unit and the value calculated by the data analyzing unit with past data stored in the knowledge base in relation to past dredged soil pressurization A past data comparing unit 522 for determining the suitability of the present pump pressure, and a comparison unit 522 for comparing the experimental data showing the physical properties of the currently conveyed dredged soil sample stored in the knowledge base and the monitoring value And a current data speculation unit 524 for determining the suitability of the present pump pressure by a pattern recognition technique based on a supervised learning based algorithm.

Accordingly, when the past data related to the past dredged soil transfer is present in the knowledge base, the pump pressure evaluating unit 520 makes it possible to judge the adequacy of the pump pressure in comparison with the past data, and if there is no such past data or the property of the dredged soil If it is different, it is possible to judge the adequacy of the pump pressure by comparing with the pattern which is constructed or determined by the state index derived by the map learning based pattern recognition technique.

As shown in FIG. 8, the expert reasoning unit 500 inputs various experimental data representing the physical properties of the dredged soil as analysis data, and selects a rule by an inference engine based on the input analysis data. The input analysis data and the rules are stored in the knowledge base in the present state. After presenting the flow status level by the statistical process as the status index, the rule selected by the inference engine is again selected to judge the suitability of the present pump pressure .

9, the expert reasoning unit 500 derives a state index using a numerical analysis result, arranges the derived state indexes into groups, and outputs learning data And establish a decision boundary. When the state index is derived based on the measurement data after inputting the monitored value during the press-feeding of the actual dredged soil, and the state index is pattern-matched to the decision boundary of the learning data, the pressing state of the present dredged soil is classified And it is possible to derive a result indicating that pressurization of the pump pressure is required due to the classified state index and the flow velocity.

Accordingly, when it is determined that the amount of pressure drop is large based on the values measured by the two pressure sensors constituting the sensor unit, the pump pressure evaluating unit 520 recognizes that a pump pressure higher than the current pump pressure is required, It is configured to display it through the display unit. At this time, it is of course possible to derive a pump pressure which can maintain the measured pressure drop amount at a certain level or more.

6 shows an example of the degree of pressure drop calculated by the monitoring values measured by the two pressure sensors constituting the sensor unit and the amount of pressure drop according to the distance through which the dredged soil is conveyed. It is of course possible to measure differently depending on physical properties such as viscosity, particle size or porosity. 7 shows the required pump power required according to the target flow rate for feeding the dredged soil through the piping. However, the required pump power varies depending on the physical properties of the dredged soil to be fed through the piping, the diameter of the piping, Of course.

The pump pressure evaluating unit 520 may be configured to simply derive the pressure of the pump pressure based on the difference of the monitoring values of the two pressure sensors measured by the sensor unit. However, if the pressure drop of the dredged soil is large, The pump pressure derived from the pump pressure evaluating portion maintains the flow rate of the dredged soil at the minimum fluidization speed or at a rate higher than the settling velocity, So that the dredged soil can be pressed and fed.

The display unit 600 may include a pressure drop amount and a flow velocity profile that are converted into digital values by the data collecting unit after being measured by the sensor unit, values such as a friction coefficient and a settling velocity indicating flow characteristics calculated by the data analysis unit, And to display the adequacy of the pump pressure derived from the expert reasoning unit.

Accordingly, even when the user of the system according to the present invention is used, the necessity of adjusting the pump pressure can be intuitively and easily recognized by simply viewing the contents displayed on the display unit.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the scope of the present invention.

100 - Experimental data storage unit 200 - Sensor unit
210 - Pressure sensor 220 - Ultrasonic flow sensor
300 - Data collecting unit 400 - Data analyzing unit
410 - Reynolds number calculating section 420 - Friction coefficient calculating section
430 - Minimum fluidization speed calculation unit 440 - Settling velocity calculation unit
500 - Expert Reasoning Unit 510 - Past Data Storage Unit
520 - Pump pressure evaluation section 522 - Past data comparison section
524 - current data speculation unit 600 - display unit
700 - Knowledge base

Claims (8)

An experimental data storage unit for storing experiment data measured in an experiment using a sample of dredged soil transferred through a piping in a knowledge base;
A sensor unit installed in the pipeline for monitoring a flow state of the dredged soil by measuring the pressure and the flow rate of the dredged soil conveyed through the piping;
A data collecting unit for converting a monitoring value, which is measured by the sensor unit into a pressure and a flow rate, into a digital value together with a measurement time and storing the digital value in a knowledge base;
A data analyzer for receiving the monitoring value converted by the data collecting unit by wired / wireless communication means and calculating a friction coefficient and a sedimentation rate using the monitoring value and the experimental data;
Comparing the flow characteristic of the dredged soil detected by the monitoring value measured by the sensor unit with the flow characteristic used during the past dredged soil transportation or comparing with the state index calculated by the experimental data stored by the experimental data storage unit An expert reasoning unit for evaluating whether or not the present pump pressure is suitable for the flow characteristics recognized by the monitoring value of the dredged soil; And
And a display unit for displaying the monitored value converted by the data collection unit and whether the pump pressure evaluated by the expert reasoning unit is appropriate. The method according to claim 1,
Experimental data stored in the knowledge base after testing the dredged soil sample by the experimental data storage unit is used to calculate the damping ratio (water content) indicating the ratio of the dredged soil to the water contained in the dredged soil, The density, the viscosity, the porosity, the particle size and the density of the dredged soil. 3. The method of claim 2,
The experimental data storage unit is configured to extract a state index by an unsupervised learning based algorithm pattern recognition technique based on experimental data measured by testing a sample of dredged soil and then store the index value together with the knowledge base Based dredging soil transfer expert system. The method of claim 3,
Wherein the sensor unit includes a pressure sensor for measuring pressure fed through the pipe and an ultrasonic flow rate sensor for measuring a flow rate of the dredged soil;
The pressure sensor is constituted by a first pressure sensor installed at a transport start position close to the pump and a second pressure sensor installed at a position close to the discharge port which is transported through the pipe and then discharged;
Wherein the ultrasonic flow velocity sensor comprises a first ultrasonic flow velocity sensor installed at a transport start position close to the pump and a second ultrasonic flow velocity sensor installed at a position close to a discharge port that is transported through a pipe and then discharged. Based dredged soil transfer expert system. 5. The method of claim 4,
The data analysis unit may include:
A Reynolds number calculation unit for calculating a Reynolds number Re indicating a ratio of an inertia force and a viscous force;
A friction coefficient calculating unit for calculating a friction coefficient (f) in a pipe to which the dredged material is fed when the Reynolds number (Re) is a value calculated by the Reynolds number calculating unit;
A minimum fluidization speed calculation unit for calculating a minimum fluidization speed indicating a minimum velocity at which the dredged particles deposited in the piping start moving in the piping; And
And a sedimentation velocity calculating unit for calculating a sedimentation velocity indicating a maximum velocity at which the dredged particle starts to deposit in the pipe when the flow velocity is small. 6. The method of claim 5,
The expert reasoning unit,
A past data storage unit for cumulatively storing the monitoring values measured during the dredging press operation of the past and the flow characteristics based on the monitoring values; And
And a pump pressure evaluation unit for evaluating a current flow characteristic by a value calculated by the data analysis unit using the monitoring value measured by the sensor unit and presenting whether the pump pressure is appropriate or not Monitoring - based dredged soil transfer expert system. The method according to claim 6,
The pump pressure evaluating unit compares the monitoring value currently measured by the sensor unit and the value calculated by the data analyzing unit with past data stored in the knowledge base in relation to the past dredged soil pressurization, Based on the result of the comparison of the dredged soil and the dredged soil. The method according to claim 6,
The pump pressure evaluating unit may calculate the pump pressure based on the experimental data showing the physical properties of the currently transported dredged soil sample stored in the knowledge base by the experiment data storage unit and the supervised learning based algorithm ) ≪ / RTI > determining a suitability of the current pump pressure by a pattern recognition technique.

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