KR20200119399A - Concrete pumping control system based on monitoring - Google Patents

Abstract

The present invention relates to a piping-based concrete pumping system. With the monitoring-based concrete pumping control system of the present invention, intra-piping flow conditions such as the pressure and flow velocity of concrete pumped through the piping can be monitored in real time and the characteristics of the flow can be determined. In addition, it is possible to accurately suggest whether or not to increase the pressure of a pump after quickly determining whether or not the current pump pressure is appropriate based on the degrees of decrease in intra-pipe pressure and flow velocity. The monitoring-based concrete pumping control system includes: an experiment data storage unit storing experimentally measured experiment data; a sensor unit monitoring concrete flow conditions by measuring the pressure and flow velocity of the concrete; a data collecting unit converting a monitoring value into a digital value with measurement time and storing it in a knowledge base; a data analysis unit performing coefficient of friction and intra-pipe pressure calculation by using the monitoring value and the experiment data; a characteristic inference unit assessing whether the current pump pressure is suitable for the flow characteristics grasped by the concrete monitoring value by comparing the concrete flow characteristics to the flow characteristics used during past concrete pumping or a condition index calculated from the experiment data; and a display unit expressing whether the monitoring value converted at the data collecting unit and the pump pressure assessed at the characteristic inference unit are appropriate.

Description

Concrete pressure feeding control system based on monitoring {CONCRETE PUMPING CONTROL SYSTEM BASED ON MONITORING}

The present invention relates to a concrete pumping control system, and more particularly, in a system for pumping concrete by a pipe, the flow characteristics in the pipe, such as the pressure and flow rate of the concrete transported through the pipe, are monitored in real time. In addition to determining whether the current pump pressure is appropriate based on the degree of decrease in pressure and flow rate in the pipe, it is possible to quickly determine whether the current pump pressure is appropriate, and then accurately present whether or not the pump pressure is adjusted. It's about the system.

This 　invention is the result of a research carried out as a technology development project for industry-academia-research cooperation supported by the Korea Industrial Technology Promotion Agency (project number: N0001787, research project name: concrete high-efficiency (30%) pumping and blockage prevention technique development).

Due to the increase in high-rise buildings and large structures, cases in which unsolidified concrete is pumped and used for construction by pumping and piping have become common, and cases of high-rise buildings and long-distance pumping are also increasing. Since concrete has different fluidity and other characteristics depending on the mixing design and mixing conditions, there are cases in which pipes are clogged or the pumping efficiency is lowered in high-rise and long-distance pumping. To solve this problem, a study to manage the mixing conditions is underway. have. In order to solve such a problem in the field, a technology for effectively managing various conditions in the pressure conveying process is required along with managing the conditions of the concrete that is the object of pressure conveying.

Attempts are being made to monitor the state of the inside of the pipe that pressurizes concrete, and Patent No. 10-1202069 attempts to estimate the state of the pressure feed pipe using measurement and statistical functions, and Patent Publication No. 10-2018-0043747 In this study, the artificial neural network learning theory was applied to check the abnormal state in the tube during the compression process.

The present invention not only allows general operators or workers who do not have specialized knowledge about the characteristics of concrete to easily grasp the flow characteristics through which concrete is pumped, but also provides appropriate countermeasures according to changes in flow characteristics, that is, the pump pressure. There is a need for a new system capable of improving the pumping efficiency of concrete by making it possible to quickly and accurately determine whether or not to pressurize and adjust the pump pressure.

Republic of Korea Patent Publication 10-1202069 (2012.11.20.) Republic of Korea Patent Publication No. 10-2018-0043747 (2018.04.30.)

In the present invention, in a pressure conveying system for conveying unhardened concrete by a pipe, the flow conditions in the pipe such as the pressure and flow rate of the concrete conveyed through the pipe are monitored in real time to determine flow characteristics including pressure and friction coefficient. In addition, it provides a monitoring-based concrete pumping control system that allows you to quickly determine whether the current pump pressure is appropriate based on the amount of pressure drop and the degree of decrease in flow speed, and then accurately present whether the pump pressure is pressurized. It has its purpose.

The problem of the present invention is not limited to those mentioned above, and other problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention for achieving the objects and other features of the present invention, an experiment data storage unit for storing experiment data measured by an experiment using a sample of fresh concrete conveyed through a pipe in a knowledge base; A sensor unit installed in the pipe and measuring a pressure and a flow rate of the concrete conveyed through the pipe to monitor a flow state of the concrete; A data collection unit that converts a monitoring value consisting of pressure and flow velocity inside the pipe measured by the sensor unit into digital values together with a measurement time and stores it in a knowledge base; A data analysis unit that receives the monitoring value converted by the data collection unit by a wired/wireless communication unit, and calculates a friction coefficient and an intra-pipe pressure using the monitoring value and experimental data; Compare the flow characteristics of concrete identified by the monitoring value measured by the sensor unit with the flow characteristics used during the past concrete pumping, or compare the condition index calculated by the experimental data stored by the experiment data storage unit. Thus, a characteristic inference unit for evaluating whether the current pump pressure is suitable for the flow characteristics determined by the monitoring value of the concrete; And a display unit that displays whether the monitoring value converted by the data collection unit and the pump pressure evaluated by the characteristic inference unit are appropriate. A monitoring-based concrete pressure delivery control system is provided.

In the present invention, the test data stored in the knowledge base after testing the concrete sample by the test data storage unit is the water cement ratio (w/c) of the concrete sucked into the pump inlet, the slump value, and the maximum particle diameter of the coarse aggregate. It may include.

In the present invention, the experiment data storage unit derives a state index using an unsupervised learning based algorithm pattern recognition technique based on the experimental data measured by testing a sample of concrete, and then converts the index value to the knowledge base. Can be configured to store together.

In the present invention, the sensor unit comprises a pressure sensor for measuring the pressure transferred through the pipe, and an ultrasonic flow sensor for measuring a flow rate of concrete; The pressure sensor includes a first pressure sensor installed at a transfer start position close to the pump, and a second pressure sensor installed at a location close to an outlet discharged after being transferred through a pipe; The ultrasonic flow sensor may include a first ultrasonic flow sensor installed at a transfer start position close to the pump, and a second ultrasonic flow sensor installed at a location close to an outlet discharged after being transferred through a pipe.

The present invention has the effect of being able to easily grasp flow characteristics such as friction coefficient or pressure in the pipe by monitoring the flow conditions in the pipe in real time, such as the pressure and flow speed of concrete transferred through the pipe.

In addition, the present invention has the effect of being able to quickly determine whether the current pump pressure is appropriate based on the amount of pressure drop in the pipe over a long distance through which concrete is transferred and the degree of decrease in flow rate, and then accurately inform whether the pump pressure is pressurized. have.

In addition, the present invention calculates the conditions under which concrete can be blocked in the pipe by the water cement ratio (w/c), the slump value, the maximum particle diameter of the coarse aggregate, etc., which are the inherent characteristics of the concrete to be actually conveyed, and prevent this. By inferring and outputting whether the pump pressure is pressurized to maintain the current flow rate, even system operators and workers who lack professional knowledge can quickly and accurately determine whether or not to accurately control the pump pressure.

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

1 is a block diagram of a monitoring-based concrete pressure delivery control system according to the present invention.

Additional objects, features, and advantages of the present invention may be more clearly understood from the following detailed description and accompanying drawings.

Prior to the detailed description of the present invention, the present invention is capable of various modifications and various embodiments, and the examples described below and shown in the drawings are intended to limit the present invention to specific embodiments. It should be understood as including all changes, equivalents, and substitutes included in the spirit and scope of the present invention.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. Should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

The terms used in the present specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or a combination thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

In addition, terms such as "... unit", "... unit", and "... module" described in the specification mean a unit that processes at least one function or operation, which is hardware, software, or hardware and It can be implemented as a combination of software.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the present invention, when it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted.

Hereinafter, with reference to the accompanying drawings, a monitoring-based concrete pressure delivery control system according to a preferred embodiment of the present invention will be described in detail.

1 is a block diagram of a monitoring-based concrete pressure delivery control system according to the present invention.

Referring to FIG. 1, the monitoring-based concrete pumping control system according to the present invention includes an experiment data storage unit 100 that stores experimental data measured by an experiment using a sample of concrete transported through a pipe in a knowledge base. And, a sensor unit 200 that monitors the flow state of concrete by measuring the pressure and flow rate of concrete installed in the pipe and conveyed through the pipe, and the pressure and flow rate inside the pipe measured by the sensor unit. A data collection unit 300 that converts the monitoring value to digital values together with the measurement time and stores it in a knowledge base, and receives the monitoring value converted by the data collection unit by wired/wireless communication means, and receives the monitoring value and experimental data. The data analysis unit 400 that calculates the coefficient of friction and the settling speed using the data analysis unit 400, and the flow characteristics of the concrete determined by the monitoring values measured by the sensor unit are compared with the flow characteristics used during the concrete transport in the past, or the experimental data A characteristic inference unit 500 that evaluates whether the current pump pressure is suitable for the flow characteristics identified by the monitoring value of the concrete currently being monitored by comparing it with the condition index calculated by the experimental data stored by the storage unit. And, a display unit 600 that displays whether the monitoring value converted by the data collection unit and the pump pressure evaluated by the characteristic inference unit are appropriate.

The experimental data storage unit 100 is configured to accurately determine the flow characteristics of the concrete transported through the pipe, that is, the flow characteristics according to the soil conditions of the concrete. After collecting a sample, it is configured to measure the physical properties of concrete while conducting various indoor experiments using the sample, and to store the measurement result in the knowledge base 700.

At this time, it is preferable that the test data stored in the knowledge base 700 after being measured by testing the concrete sample is configured to include the water cement ratio (w/c) of the concrete sucked from the pump, the slump value, and the maximum particle diameter of the coarse aggregate. . As such, the stored water-cement ratio (w/c), slump value, and maximum particle diameter of the coarse aggregate stored in the knowledge base 700 by the experimental data storage unit 100 are the lowest suitable for the condition of the concrete currently being pushed by the data analysis unit. It can be used as basic data for calculating the flow rate.

In addition, the experimental data measured by experimenting with a concrete sample not only stores the measured value, but also derives the state index by the unsupervised learning based algorithm pattern recognition technique, and then converts the index value to the knowledge base ( 700) is preferably configured to be stored together. Accordingly, even if there is no experimental data or construction data obtained in the past concrete construction process in the characteristic inference unit 500, basic data for determining whether the pump pressure is appropriate can be provided. At this time, it goes without saying that data such as the design flow rate and the pumping distance may be separately given depending on the site conditions and the purpose of the concrete delivery.

The sensor unit 200 is configured to include a pressure sensor 210 for measuring the pressure of the concrete that is pumped through a pipe, and an ultrasonic flow sensor 220 for measuring the flow rate of the concrete.

In this case, the pressure sensor 210 includes a first pressure sensor installed at a pressure feeding start position close to a pump that sucks concrete and supplies it to a pipe, and a second pressure installed at a position close to the discharge port discharged after being transported through the pipe. It is composed of a sensor, and is configured to monitor the amount of pressure drop by the difference in pressure measured by the first and second pressure sensors.

The larger the calculated pressure drop, the greater the friction in the pipe through which the concrete is transported, so it can be easily understood that concrete must be supplied at a higher pump pressure.

In addition, the ultrasonic flow sensor 220 is also a first ultrasonic flow sensor installed at a pressure-feeding start position close to a pump that sucks concrete and supplies it to a pipe, and a first ultrasonic flow-velocity sensor installed at a position close to a discharge port discharged after being transported through the pipe. It is composed of two ultrasonic flow sensors so that it is possible to measure the flow velocity profile at which concrete moves through the pipe. In this case, when measuring the flow velocity value at which concrete is transferred by the depth of the pipe section, the flow velocity profile can be measured by the depth of the pipe section.

The data acquisition unit (DAQ) 300 converts the monitoring value consisting of the pressure and flow rate measured by the sensor unit into digital values so that it can be used as basic data for calculation in the data analysis unit, and then the measured time It is configured to be stored in the knowledge base 700 together with information representing

At this time, the knowledge base 700 not only stores the monitoring values of the currently measured concrete and the test data of concrete input through the test data storage unit, but also accumulates and stores the monitoring values and test data measured when the concrete was transported in the past. As a database, it can be used as comparative data to determine the appropriateness of pump pressure when transporting concrete showing similar experimental data in the future.

The data analysis unit 400 receives the monitoring value converted from the data collection unit 300 by a wired or wireless communication means, and then, based on the test data and monitoring value of concrete stored in the knowledge base 700 It is configured to perform calculations to derive the friction coefficient and settling speed, etc., which can grasp the flow characteristics of

Accordingly, the data analysis unit 400, the Reynolds number calculation unit 410 for calculating the Reynolds number (Re) representing the ratio of the inertial force and the viscous force, and the Reynolds number (Re) is calculated by the Reynolds number calculation unit. When it is a value, the friction coefficient calculation unit 420 that calculates the friction coefficient (f) in the pipe through which the concrete is transferred, and the minimum fluidization speed that calculates the minimum fluidization speed representing the minimum speed at which the stopped concrete particles start moving in the pipe. A calculation unit 430 and a settling speed calculation unit 440 for calculating a settling speed indicating a maximum speed at which concrete particles start to deposit in the pipe when the flow speed is small.

At this time, the Reynolds number calculation unit 410 uses the viscosity of the concrete stored in the knowledge base, the flow velocity value measured by the sensor unit, and the distance at which the concrete is pumped through the pipe, as shown in [Equation 1]. ], the Reynolds number (Re) can be calculated.

Here, vs is the average velocity of the flow, L is the characteristic length, μ is the viscosity coefficient of the fluid, ν is the dynamic viscosity coefficient 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. In the boundary layer above the plate, whether the flow is laminar or turbulent is determined by the Reynolds number over the length measured from the leading edge of the plate.

In addition, the friction coefficient calculation unit 420 reflects the physical properties of concrete so that the friction coefficient (f) in the smooth pipe through which the concrete is pushed can be calculated by the following [Equation 2] representing the Blasius proposed equation. do. As such, the coefficient of friction calculated by the coefficient of friction calculation unit 420 has a small coefficient of friction when the flow velocity is high, and the coefficient of friction is large when the flow velocity is low.

)을 산출할 수 있게 된다.In addition, the minimum fluidization speed calculation unit 430 initially fluidizes the Ergun equation, which is a function of the water cement ratio (w/c) of concrete, slump value, and the maximum particle diameter of the coarse aggregate representing the physical properties of the concrete conveyed through the pipe. According to the following [Equation 3] calculated by applying to, the minimum fluidization speed representing the minimum speed at which the already deposited concrete particles begin to move in the pipe (

) Can be calculated.

Accordingly, when it is determined that there is a large amount of sedimentary soil deposited in the pipe by the monitoring value of the pressure and flow rate measured through the sensor unit, the pump pressure is derived at a pressure that can maintain the flow rate of concrete above the minimum fluidization rate. It is possible to improve the pumping efficiency of concrete.

)는 콘크리트의 물시멘트비(w/c), 슬럼프값, 굵은골재 최대입경 등에 의해 산출될 수 있으며, 콘크리트의 물성을 나타내는 물시멘트비(w/c), 슬럼프값, 굵은골재 최대입경 등의 각 매개변수 별 최대유동속도를 산출할 수 있게 된다.The minimum flow rate calculated in this way (

) Can be calculated by the water-cement ratio (w/c) of concrete, slump value, and maximum particle diameter of coarse aggregate. The maximum flow rate for each variable can be calculated.

)에 대한 함수식을 나타내는 하기의 [수학식4]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.In addition, the sedimentation velocity calculation unit 440 determines the sedimentation velocity (ut), which means the maximum velocity at which concrete particles start to be deposited when the flow velocity is small, the shape factor (Ψ), the porosity, and the minimum fluidization velocity (

It can be calculated by the following [Equation 4] representing a functional expression for ). This [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 pipe can be obtained by the sedimentation speed calculated as described above.

In addition, the formation of such a sediment layer causes a spatial change in the cross section of the pipe through which the concrete is conveyed, thereby causing the flow characteristics such as flow rate to be different, and the volume ratio of the upper and lower parts based on the pipe cross section. It is desirable to pre-define the height. Accordingly, when the flow rate is excessively reduced by the monitoring value measured by the sensor unit, it is recognized that a sediment layer having a height higher than the allowable height has been formed, and the concrete is pumped from the pump at a higher pressure that can reduce the sediment layer. It is possible to improve the conveying efficiency of concrete by maintaining the flow state, that is, the pressure and the flow rate at which the concrete is conveyed above a certain level.

In this way, the speed ratio representing the ratio of the settling speed and the lowest flow speed calculated by the minimum flow rate calculation unit 430 and the settling speed calculation unit 440 can be calculated for each shape factor.

The characteristic inference unit 500 includes a past data storage unit 510 that accumulates and stores a monitoring value measured during the past concrete pumping and a flow characteristic applied based on the monitoring value in a knowledge base, and a monitoring value currently measured by the sensor unit. And a pump pressure evaluation unit 520 that evaluates the current flow characteristics based on the value calculated by the data analysis unit and then presents whether the pump pressure is appropriate.

The past data storage unit 510 stores the physical properties of the concrete that was pushed in the past, the flow state consisting of the pressure and flow rate measured by the sensor unit at the time, and the pump pressure required according to the change in the pressure and flow rate at the time. It is configured to be stored in the knowledge base 700 as.

In this way, by storing the data measured or used in the past when the concrete was transported in the knowledge base, it is used as basic data to determine the appropriateness of the flow characteristics and pump pressure of the concrete being transported in case of transporting concrete with similar physical properties. You will be able to.

In addition, the pump pressure evaluation unit 520 compares the monitoring value currently measured by the sensor unit and the value calculated by the data analysis unit with past data stored in the knowledge base in connection with the past concrete pressure delivery. The past data comparison unit 522 that determines the appropriateness of the current pump pressure, the experimental data indicating the physical properties of the concrete sample currently being pumped stored in the knowledge base by the experiment data storage unit, and the monitoring value measured by the sensor unit Based on the supervised learning based algorithm (Supervised learning based algorithm) is configured to include a current data inference unit 524 to determine the appropriateness of the current pump pressure by a pattern recognition technique.

Accordingly, the pump pressure evaluation unit 520 determines the appropriateness of the pump pressure by comparing it with past data related to the past concrete pressure delivery in the knowledge base, and there is no such past data or the physical properties of the concrete. If they are different, it is possible to determine the appropriateness of the pump pressure by comparing it with a pattern established or determined by a state index derived by a supervised learning-based pattern recognition technique.

When inputting various experimental data representing the physical properties of concrete as analysis data, the characteristic inference unit 500 selects a rule by an inference engine based on the input analysis data, and knowledge of the input analysis data and rules. The current state is stored in the base, and the flow state level by statistical processing is presented as a state index, and then a rule by the reasoning engine is selected again, and the appropriateness of the current pump pressure can be determined and presented.

In addition, in the supervised learning-based pattern recognition technique, the characteristic inference unit 500 derives a state index using numerical analysis results, and organizes the derived state index for each group to construct learning data and sets a decision boundary. And, after receiving the monitored value during actual concrete conveying as measurement data, after deriving a state index based on the measurement data, pattern matching this state index to the decision boundary of the learning data classifies the current state of concrete conveying. It is possible to derive a result indicating that the pressure of the pump needs to be pressurized due to the state index and flow rate drop classified accordingly.

Accordingly, when it is determined that the pressure drop is large based on the values measured by the two pressure sensors constituting the sensor unit, the pump pressure evaluation unit 520 recognizes that a pump pressure higher than the current pump pressure is required, After determining that it is, it is configured to display it through the display unit. At this time, it goes without saying that it may be configured to derive a pump pressure capable of maintaining the measured pressure drop amount above a certain level.

As such, the degree of pressure drop calculated by the monitoring values measured by the two pressure sensors constituting the sensor unit and the values of the pressure drop according to the distance to which the concrete is transferred are the water cement ratio (w/c), slump value, and coarse aggregate of concrete. It goes without saying that it can be measured differently by physical properties such as the maximum particle diameter. In addition, it goes without saying that the required pump power may be derived differently depending on the physical properties of the concrete to be pumped through the pipe and the diameter or transport distance of the pipe.

In addition, the pump pressure evaluation unit 520 may be simply configured to derive the pressure of the pump pressure based on the difference between the monitoring values of the two pressure sensors measured by the sensor unit, but in general, when the pressure drop of concrete is large, the flow rate Is lowered, and such a decrease in flow rate causes the formation of a sediment layer in the pipe, and the pump pressure derived from the pump pressure evaluation unit maintains the flow rate of concrete above the minimum fluidization rate, or a rate greater than the settling rate. It is desirable that the furnace is drawn so that the concrete can be pressed.

The display unit 600 includes values such as a pressure drop amount and a flow rate profile that are measured by the sensor unit and converted into digital values by a data collection unit, a friction coefficient or a settling velocity representing the flow characteristics calculated by the data analysis unit, and, It is configured to express the appropriateness of the pump pressure derived from the characteristic inference unit.

Accordingly, a user using the system according to the present invention can intuitively and easily recognize the necessity of pump pressure adjustment simply by looking at the content displayed on the display unit, even if there is insufficient professional knowledge.

In the above, the technical idea of the present invention has been described together with the accompanying drawings, but this is illustrative of a preferred embodiment of the present invention and does not limit the present invention. In addition, it is a clear fact that anyone with ordinary knowledge in the technical field to which the present invention pertains can make various modifications and imitations without departing from the scope of the technical idea of the present invention.

According to the monitoring-based concrete pressure delivery control system according to the present invention as described above, flow characteristics such as friction coefficient or pressure in the pipe are monitored in real time by monitoring the flow conditions in the pipe, such as the pressure and flow speed of the concrete transferred through the pipe. The advantage of being able to identify easily, and to quickly determine whether the current pump pressure is appropriate based on the amount of pressure drop in the pipe over a long distance through which concrete is transferred and the degree of decrease in flow speed, and to accurately inform whether the pump pressure is pressurized. There is this.

In addition, the present invention calculates the conditions under which concrete can be blocked in the pipe by the water cement ratio (w/c), the slump value, the maximum particle diameter of the coarse aggregate, etc., which are the inherent characteristics of the concrete to be actually conveyed, and prevent this. By inferring and outputting whether the pump pressure is pressurized to maintain the current flow rate, there is an advantage in that even system operators and workers who lack professional knowledge can quickly and accurately determine whether or not to accurately control the pump pressure.

Although the above-described embodiments have been described by the limited drawings, a person of ordinary skill in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

The embodiments described in the present specification and the accompanying drawings are merely illustrative of some of the technical ideas included in the present invention. Accordingly, it is obvious that the embodiments disclosed in the present specification are not intended to limit the technical idea of the present disclosure, but to explain the technical idea, and thus the scope of the technical idea of the present disclosure is not limited by these embodiments. Modification examples and specific embodiments that can be easily inferred by those skilled in the art within the scope of the technical idea included in the specification and drawings of the present invention should be interpreted as being included in the scope of the present invention.

100: experimental data storage unit
200: sensor unit
210: pressure sensor
220: ultrasonic flow sensor
300: data collection unit
400: data analysis unit
410: Reynolds number calculator
420: friction coefficient calculation unit
430: minimum fluidization speed calculation unit
440: settling speed calculation unit
500: characteristic inference unit
510: past data storage unit
520: pump pressure evaluation unit
522: past data comparison unit
524: current data inference unit
600: display
700: knowledge base

Claims (4)

Experiment data storage unit for storing the experimental data measured by the experiment using the sample of fresh concrete transferred through the pipe in the knowledge base;
A sensor unit installed in the pipe and measuring a pressure and a flow rate of the concrete conveyed through the pipe to monitor a flow state of the concrete;
A data collection unit that converts a monitoring value consisting of pressure and flow velocity inside the pipe measured by the sensor unit into digital values together with a measurement time and stores it in a knowledge base;
A data analysis unit that receives the monitoring value converted by the data collection unit by a wired/wireless communication unit, and calculates a friction coefficient and an intra-pipe pressure using the monitoring value and experimental data;
Compare the flow characteristics of concrete identified by the monitoring value measured by the sensor unit with the flow characteristics used during the past concrete pumping, or compare the condition index calculated by the experimental data stored by the experiment data storage unit Thus, a characteristic inference unit for evaluating whether the current pump pressure is suitable for the flow characteristics determined by the monitoring value of the concrete; And
And a display unit that displays whether the monitoring value converted by the data collection unit and the pump pressure evaluated by the characteristic inference unit are appropriate.
Concrete pressure control system based on monitoring. The method of claim 1,
The experimental data stored in the knowledge base after testing and measuring a concrete sample by the experimental data storage unit includes the water cement ratio (w/c) of the concrete sucked into the pump inlet, the slump value, and the maximum particle diameter of the coarse aggregate. With
Concrete pressure control system based on monitoring.
The method of claim 2,
The experiment data storage unit is configured to derive a state index using an unsupervised learning based algorithm pattern recognition technique based on the experimental data measured by testing a sample of concrete, and then store the index value together in the knowledge base. Characterized by being
Concrete pressure control system based on monitoring.
The method of claim 3,
The sensor unit includes a pressure sensor for measuring a pressure transferred through a pipe, and an ultrasonic flow sensor for measuring a flow rate of concrete;
The pressure sensor includes a first pressure sensor installed at a transfer start position close to the pump, and a second pressure sensor installed at a location close to an outlet discharged after being transferred through a pipe;
The ultrasonic flow sensor is characterized in that it is composed of a first ultrasonic flow sensor installed at a transfer start position close to the pump, and a second ultrasonic flow sensor installed at a location close to an outlet discharged after being transferred through a pipe.
Concrete pressure control system based on monitoring.

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