KR20120022037A - Smart pump system and method for controlling the same - Google Patents

Smart pump system and method for controlling the same Download PDF

Info

Publication number
KR20120022037A
KR20120022037A KR1020100085048A KR20100085048A KR20120022037A KR 20120022037 A KR20120022037 A KR 20120022037A KR 1020100085048 A KR1020100085048 A KR 1020100085048A KR 20100085048 A KR20100085048 A KR 20100085048A KR 20120022037 A KR20120022037 A KR 20120022037A
Authority
KR
South Korea
Prior art keywords
pump
level
unit
water level
data
Prior art date
Application number
KR1020100085048A
Other languages
Korean (ko)
Inventor
김중훈
Original Assignee
고려대학교 산학협력단
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 고려대학교 산학협력단 filed Critical 고려대학교 산학협력단
Priority to KR1020100085048A priority Critical patent/KR20120022037A/en
Publication of KR20120022037A publication Critical patent/KR20120022037A/en

Links

Images

Classifications

    • EFIXED CONSTRUCTIONS
    • E03WATER SUPPLY; SEWERAGE
    • E03FSEWERS; CESSPOOLS
    • E03F1/00Methods, systems, or installations for draining-off sewage or storm water
    • EFIXED CONSTRUCTIONS
    • E03WATER SUPPLY; SEWERAGE
    • E03FSEWERS; CESSPOOLS
    • E03F5/00Sewerage structures
    • E03F5/22Adaptations of pumping plants for lifting sewage
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06Control using electricity
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D7/00Control of flow
    • G05D7/06Control of flow characterised by the use of electric means
    • G05D7/0617Control of flow characterised by the use of electric means specially adapted for fluid materials

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Control Of Positive-Displacement Pumps (AREA)

Abstract

The present invention has a pump unit including a plurality of pumps associated with the reservoir, a sensing unit including a reservoir level sensor and a rainfall sensor for the basin, an input unit for receiving a pump operation mode selected by the operator, and the basin A storage unit having preset data stored therein, and electrically connected to the sensing unit and the input unit and the storage unit to apply an operation control signal to the pump unit based on the preset data and a detection signal of the sensing unit. Providing a smart rain water pump facility having a control unit, and a calculation unit connected to the control unit for calculating the predicted inflow amount of the reservoir according to the operation control signal of the control unit, and the pump operating mode selected by the operator through the input unit is input The input stage, and the reservoir level sensor and the rainfall sensor A detection step of detecting a water level and rainfall in the watershed, and a control unit configured to select and operate a pump to be operated among the pump units based on a signal detected in the detection step and preset data of the storage unit. It provides a smart rain water pump plant control method and a smart rain water pump plant comprising a control step.

Figure P1020100085048

Description

Smart rainwater pump facility and its control method {SMART PUMP SYSTEM AND METHOD FOR CONTROLLING THE SAME}

The present invention relates to a rainwater pump device and a control method, and more particularly, to a smart rainwater pump facility having a pump operating mode selectable by an operator and enabling a preemptive response through an inflow forecast and a control method thereof. It is about.

Recently, the incidence of flooding has increased rapidly due to the frequent occurrence of localized heavy rains and shortening of the arrival time due to urbanization. In the case of such inundation damage, the damage amount is relatively large compared to the damage area due to the fact that the area of occurrence is an urban area of dense population. Therefore, in order to reduce the damage caused by the flooding of domestic water and to build a stable urban drainage system, the rainwater pumping station automation system was started to be built in the mid 90s to prevent the flooding of water in the city.

An integrated operation automation system is built and operated in the rainwater pumping station according to the prior art, and the observation and operation records are automatically converted into data and transmitted to the relevant ward office. And control is possible. In addition, the pump operation is automated according to the reference level through real-time observation of the water level table, and the system is constructed to enable remote control according to the central control.

However, in the case of the rainwater pumping station according to the prior art, the individual pump operation level is determined, and when the heavy rain occurs, the water level monitor is monitored to operate the pump sequentially when the reference level in the sump is reached. These rainwater pumping station pump operating standards are often indefinite, so many of the managers in the field have many operational difficulties, and they have not followed empirical methods. In addition, the pump operation through the automation system is only programmed to automatically operate the pump when the reference level is reached. This is also an operation problem, and most pump stations are operated by manual operation by the operator in case of heavy rain. . This implies a structural problem in that it is necessary to predict the operation of the pump according to the intensity of rainfall when heavy rain occurs, but it is necessary to rely on the empirical judgment of the operator. In other words, there are structural limitations that must be relied on by the operator's empirical judgment in the absence of optimal pump operating standards and the programmatic limits of the automated system that are constructed to operate when the pump operation standard level in the sump is reached. The system is not available for early operation because the pump is determined according to the effective depth based on the reservoir level, which reduces the utilization of the automatic operation system installed on site due to the early operation instructions of the pump.

The present invention enables effective automated operation and enables proactive stand-by to maximize the utilization efficiency of rainwater pump equipment by enabling active countermeasures without increasing the physical facilities according to the yearly frequency of the pump equipment. It is an object of the present invention to provide a smart rainwater pump installation having a structure that can be maximized and a control method thereof.

The present invention for achieving the above object, the pump unit including a plurality of pumps associated with the reservoir, the sensor including a reservoir level sensor and rainfall sensor for the basin, and the pump operating mode selected by the operator An input unit configured to receive an input unit, a storage unit storing preset data about the watershed, the sensor unit and the input unit and the storage unit electrically connected to each other, based on the preset data and a detection signal of the detection unit, the pump unit Providing a smart rainwater pump facility having a control unit for applying an operation control signal to the control unit, and a calculation unit connected to the control unit for calculating the estimated inflow of the reservoir according to the operation control signal of the control unit, and the operator through the input unit An input step of inputting a pump operating mode selected by the pump, the reservoir level sensor and A detection step in which the rainfall sensor detects a water level of the reservoir and rainfall in the basin, and the control unit selects a pump to be operated among the pump units based on a signal detected in the detection step and preset data of the storage unit. It provides a smart rainwater pump facility control method comprising a pump operation control step of selecting and operating.

In the smart rain water pump facility control method, the input step includes: a pump operation predicted water level input step of inputting operation reference water level data for operation of the pump unit, and preset for operation of the pump unit and stored in the storage unit; And a pump operating mode input selection step of selecting one of the pump operating modes, wherein the pump operating mode comprises: a first mode of starting the pump unit when the reservoir level detected in the sensing step corresponds to the operation reference level; A second mode for excluding all the inflows, executing the first mode, or selectively operating the pump unit according to whether or not the overload is predicted in the manhole of the watershed; Forecast inflow to the reservoir depending on whether overload is predicted A may also comprise a third mode in which the movable parts of the pump so as to preclude inflow amount for exclusion amount.

In the smart rainwater pump facility control method, the pump operation control step: the pump operation mode determination step of the control unit determines the pump operation mode input in the input step, and the corresponding pump determined in the pump operation mode determination step The controller may include a pump operating mode execution step of applying, by the controller, an execution control signal to the pump unit to execute the operation mode.

In the smart rainwater pump facility control method, the start reference water level data includes a pump stop water level (ELs) that is a standard of whether to stop the operation of the pump unit and an initial start water level that is a standard of whether or not the first pump is operated among the pump units. EL1) and a plurality of plurality of operating levels EL2 and EL3 which are references to whether a pump other than the first pump is operated, and the input pump operating mode is a first mode, the pump operating mode executing step includes: A stop level comparison step for comparing the measured level ELm sensed by the reservoir level sensor with the stop level, and comparing the measured level with the initial operating level when the measured level is greater than the stopped level in the stopped level comparison step The initial operating water level comparison step, and when the measured water level is equal to or greater than the initial operating water level in the initial operating water level comparison step The comparing step may include a plurality of operating water level to be compared with the plurality of movable water.

In the smart rainwater pump facility control method, the pump unit further comprises a second pump and a third pump, wherein the plurality of the plurality of movable water level and the second movable water level which is a reference whether the first pump and the second pump is operated; And a third movable water level which is a reference of whether the first to third pumps are operated, wherein the plurality of movable water level comparison steps include: a second movable water level comparison step of comparing the measured water level and the second movable water level; And a third operation level comparison step of comparing the measurement level with the third operation level when the measurement level is greater than or equal to the second operation level in the second operation level comparison step.

In the smart rainwater pump equipment control method, the watershed includes a plurality of subwatersheds and stormwater drainage network by storm water drainage for the watershed, the operation reference level data, the pump stop which is a reference of whether or not the pump unit is stopped It includes the water level (ELs), the initial operating water level (EL1) as the reference of the operation of the first pump of the pump portion, and the plurality of the plurality of movable water levels (EL2, EL3) as the basis of the operation of the pump other than the first pump The preset data includes watershed data and stormwater network data for the watershed and the stormwater network, and when the input pump operation mode is the second mode, the pump operation mode execution step may include: Based on the preset data, the sensing data of the sensing unit, the watershed data, and the stormwater conduit data, an image after a preset time step An overload determination step of predicting and calculating an inflow into the reservoir, an overload determination step of determining whether an overload condition is based on the predicted overflow data in each subwatershed included in the predicted inflow data in the inflow prediction step; If it is determined that the overload state in the overload determination step, it may include a step of removing the predicted inflow amount of the pump to operate the pump unit to exclude the entire predicted inflow amount.

In the smart rain water pump facility control method, when it is determined that the overload is not in the overload state, the stop level comparison step of comparing the measured level (ELm) and the stop level detected by the reservoir level sensor, and An initial operation level comparison step of comparing the measurement level with the initial operation level when the measurement level is greater than or equal to the initial operation level in the stationary level comparison step; and when the measurement level is greater than or equal to the initial operation level in the initial operation level comparison step A multiple operational level comparison step of comparing the measured level with the multiple operational level may be executed.

In the smart rainwater pump equipment control method, the watershed includes a plurality of subwatersheds and stormwater drainage network by storm water drainage for the watershed, the operation reference level data, the pump stop which is a reference of whether or not the pump unit is stopped It is provided with the water level (ELs), the initial operation level (EL1) which is a reference | standard of the operation of a 1st pump among the said pump part, and the several movable level (EL2, EL3) which is a reference whether the pump other than the said 1st pump is operated. The preset data includes watershed data and stormwater network data for the watershed and the stormwater network, and when the input pump operation mode is a third mode, the pump operation mode execution step may include: Based on the preset data, the sensing data of the sensing unit, the watershed data, and the stormwater conduit data, an image after a preset time step In the flow rate prediction step of predicting and calculating the flow rate into the reservoir, an initial operation level vs. measurement level comparison step in which the control unit compares the measurement level among the initial operation level and the sensed data, and the initial operation level vs. measurement level comparison step If the measured water level is greater than the initial operating water level, it may include a step of removing the estimated inflow amount of the entire operation of the pump unit to exclude the estimated inflow amount.

According to another aspect of the present invention, there is provided a smart rainwater pumping station control apparatus including a plurality of pumps, comprising: a sensing unit including a reservoir level sensor and a rainfall sensor for a basin, an input unit for receiving a pump operation mode selected by an operator; A storage unit storing preset data for the watershed, and electrically connected to the sensing unit and the input unit and the storage unit to apply an operation control signal to the pump based on the preset data and the detection signal of the sensing unit. A control unit connected to the control unit and configured to calculate a predicted inflow amount of the reservoir and a conduit prediction level in the conduit connected to the runoff conduit of the watershed according to the operation control signal of the control unit, wherein the control unit includes the predictor Smart Rainwater Pumping Station Control Station to Determine Overload Due to Overflow in the Basin It provides.

Smart rainwater pump installation and control method according to the invention having the configuration as described above has the following effects.

First, the smart rainwater pump facility and its control method according to the present invention, by enabling a selective operation of a plurality of pump operating modes, it is possible to provide a control method and equipment for each pump station conditions to improve the versatility.

Second, the smart rainwater pump facility and the control method thereof according to the present invention can prevent the inundation damage due to the overflow of the upstream basin through preemptive response through the prediction of the inflow into the reservoir.

Third, the smart rainwater pump facility and its control method according to the present invention increases the selective versatility according to the facility conditions such as the reservoir by including all that prevents frequent pump on / off operation at the same time as the preemptive response in the pump operating mode. At the same time, it is possible to prevent operational deterioration due to excessive frequent interruptions of the pump portion, thereby facilitating operational maintenance.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

1 is a schematic block diagram of a smart rainwater pump installation according to an embodiment of the present invention.
2 is a schematic flowchart of a control method of a smart rainwater pump installation according to an embodiment of the present invention.
3 is a detailed flowchart of the input step of the smart rainwater pump equipment control method according to an embodiment of the present invention.
4 is a detailed flowchart of a pump operation control step of the smart rainwater pump facility control method according to an embodiment of the present invention.
5 is a detailed flowchart of a first mode execution step of the method for controlling a smart rainwater pump facility according to an embodiment of the present invention.
6 is a detailed flowchart of a second mode execution step of the method for controlling a smart rainwater pump installation according to an embodiment of the present invention.
7 is a state diagram for the overload determination of the conduit connected to the storm conduit and the manhole of the smart rainwater pump facility according to an embodiment of the present invention.
8 is a detailed flowchart of a second mode execution step of the method for controlling a smart rainwater pump facility according to an embodiment of the present invention.
9 is a diagram showing a relationship between an operation reference level and a measurement level for the determination of the first mode execution step of the method for controlling a smart rainwater pump installation according to an embodiment of the present invention.
FIG. 10 is a diagram showing a predicted inflow amount calculated in an inflow amount prediction step of the second mode execution step of the smart rainwater pump facility control method according to an embodiment of the present invention.
11 is a detailed flowchart of the surface runoff prediction step of the smart rainwater pump installation control method according to an embodiment of the present invention.
12 is a detailed flowchart of the storm drainage prediction step of the smart rainwater pump facility control method according to an embodiment of the present invention.
13 is a diagram for explaining the effect of the smart rainwater pump equipment control method according to an embodiment of the present invention.
14 and 15 is a schematic diagram showing the data of the storm drain network disposed in the basin and basin associated with the smart rainwater pump facility according to the date of the present invention.

Hereinafter, the smart rainwater pump installation 10 according to the present invention and a control method thereof will be described with reference to the drawings.

The smart rainwater pump facility 10 according to the present invention is a smart rainwater pump facility 10 having a pump unit 700 including a plurality of pumps associated with an oil reservoir (not shown), the sensing unit 100, The operation unit and the input unit 200 of the pump unit 700 including an input unit 200, a storage unit 400, a control unit 300, and a calculation unit 500 and operated according to a control signal of the control unit 300. A display unit 600 for displaying an image of the input state, etc. through the (), and a sound output unit 800 for outputting the current operation state or emergency situation, etc. to the operator may be further provided.

The detection unit 100 of the smart rainwater pump facility 10 according to the present invention includes a water level sensor 110 and a rainfall sensor 120, the water level sensor 110 measures the water level of the reservoir (not shown) The rain sensor 120 detects a rain state in a watershed composed of a plurality of subwatersheds that the smart rainwater pump facility 10 has, and transmits the rain water to the controller 300. Although not clearly described in the present embodiment, the detection data of the measurement switch and the rainfall detected through the rainfall sensor 120 and the water level sensor 110 may be transmitted to the controller 300 through a wired data transmission network, or separately. Various modifications are possible depending on design specifications, such as taking the structure of wireless transmission through a transceiver, and the like. In addition, the sensing unit 100 may further include a vision sensor 130 to acquire image information such as a basin and a reservoir, and transmit the image information to the control unit 300. The image information may be displayed through the display unit 600. It may be displayed.

The input unit 200 is implemented as an input device such as a keyboard or an operation panel, and through this, an input signal selected by an operator operating the smart rainwater pump facility 10 according to the present invention is transmitted to the control unit 300 to store the storage unit ( 400 and the like may be stored. The input data through the input unit 200 includes one or more operating reference level data available as an operation determination reference value used for the operation of the pump unit 700 to be described below, and is preset for operation of the pump unit 700. It includes a selection of one of a plurality of pump operating modes stored in the storage unit 400 to be described below. The operation reference level data input by the operator includes a plurality of operation levels (EL2, EL3) including a pump stop level (ELs), an initial operation level (EL1), a double operation level (EL2) and a full operation level (EL3). It includes.

 The storage unit 400 includes preset data for the operation of the pump unit 700. The operation reference water level data input through the input unit 200 is also stored in the storage unit 400 after input. In some cases, the operation reference water level data may be included in the preset data to have a structure which is preset in the storage unit 400. The preset data stored in the storage unit 400 is data for the operation of the smart rainwater pump facility 100, and includes watershed data and storm water network data. The watershed data includes a watershed area for the watershed under the control of the smart rainwater pump facility 10 of the present invention, a subwatershed width for a plurality of subwatersheds constituting the watershed, ground slope, manning roughness coefficient, and the like. , Storm water network data includes the length, roughness coefficient, diameter, inclination and cross-sectional size of the storm water pipe associated with the smart rainwater pump facility 10 of the present invention. Such preset data may be used to predict the amount of rainwater flowing into the reservoir of the smart rainwater pump facility 10 together with the sensing data including the water level and rainfall detected by the detector 100. FIG. 14 shows a jurisdiction basin A associated with the smart rainwater pump installation 10 as an embodiment, and FIG. 15 shows a pipeline diagram of a stormwater pipeline network disposed in the jurisdiction basin A, the storage 400. 14 and 15 may be stored in the storm water network network data such as the area A of the watershed and the length, the diameter of the storm water drainage of the storm water drainage network.

The control unit 300 is electrically connected to the sensing unit 100, the input unit 200, and the storage unit 400 to apply an operation control signal to the pump unit 700 based on preset data and sensed data transmitted therefrom. By performing a smooth drainage treatment, it is possible to prevent damage due to inundation of water such as overflow in the watershed.

The calculation unit 500 is connected to the control unit 300 to calculate the predicted inflow of rainwater into the reservoir according to the operation control signal of the control unit 300 and transmits to the control unit 300 by the control unit 300 of the pump unit 700 Predictive data for determining whether to apply the operation control signal for operation is provided.

The control method for the smart rainwater pump facility 10 according to an embodiment of the present invention is as follows.

First, the provision step (S10) that is provided with the smart rainwater pump facility 10 according to an embodiment of the present invention is executed. In the providing step (S10), the above-mentioned smart rainwater pump installation 10 is provided, the configuration of which is as described above. After the providing step S10 is executed, the control unit 300 executes an input step S20 for receiving an input signal input by an operator through the input unit 200. In the input step (S10), the control unit 300 provides the dialog box type image information through the display unit 600 to achieve smooth operation with the operator to allow the operator to select the operation reference level data for the pump unit or the operator. This allows for more accurate and easier input of the pump operating mode.

The input step S20 may be configured in various ways, but the present embodiment includes a pump operation predicted water level input step S210 and a pump operation mode input selection step S220. In the pump operation predicted water level input step (S210), the operation reference level data for the operation of the pump unit 700 is input, and in the pump operation mode input selection step (S220), it is preset and stored for the operation of the pump unit 700. One of the pump operating modes stored in the unit 400 is selected and input. Here, the pump operating mode includes a first mode, a second mode and a third mode, wherein the first mode includes the measurement level ELm and the operation reference level of the reservoir, which are detected by the water level sensor 110 of the sensing unit 100. By comparing the data EL1, EL2, and EL3, the mode of achieving the operation state control of the pump unit 700 according to a predetermined condition is shown. The second mode is introduced into the reservoir during the next control period based on the sensing data detected by the rainfall sensor 120 and the water level sensor 110 of the detector 100 and preset data stored in the storage 400. The estimated rainwater inflow is predicted and the overflow condition in the watershed consisting of a plurality of subwatersheds is used to discharge all estimated inflow during the next control cycle when the overflow condition in the watershed reaches the preset criteria. While the pump unit 700 is operated to operate, the first mode is executed when the overflow state in the watershed is not an overload condition which is equal to or less than a preset criterion. The third mode is introduced into the reservoir during the next control period based on the sensing data detected by the rainfall sensor 120 and the water level sensor 110 of the detector 100 and preset data stored in the storage 400. When the predicted rainwater inflow is predicted and calculated, and the current measurement level ELm and the initial operating level EL1 detected by the water level sensor 110 are compared to the initial operating level EL1. The pump unit 700 is operated to discharge all the predicted inflows expected to be inflow during the next control period, while maintaining the standby state of the pump unit 700 when the current measurement level ELm is less than the initial operating level EL1. Mode.

The first mode is appropriately selected in areas where the area of the reservoir is larger than the area of the reservoir, the density of storm pipes installed in the upstream basin is low, and the ratio of permeability is high. It is preferable that the reservoir level, which is the most stable state of the reservoir, maintains the initial operating level (EL1), while maintaining the reservoir level at the initial operating level (EL1) and at the same time adjusting the reservoir level to the initial operating level (EL1). In order to prevent aging due to the load of the pump unit 700 generated due to frequent on / off switching of the pump unit generated in the process, it is appropriate to select the second mode. The third mode has a disadvantage in that the load increases due to the on / off switching of the pump part in the case of a small heavy rain event, but by matching the reservoir level to the initial operating level (EL1), it is agile to increase the inflow due to the large expected heavy rain. Since it can respond, it is preferable to carry out on conditions, such as a large heavy rain event. In the present embodiment, the input step includes an input of a signal through an operator, but the input step of the present invention is not limited thereto, and the control step is automatically input based on the sensed data detected in the sensing step and the preset data of the storage unit. It may also consist of an input step of selecting. For example, the operation reference level data as the operation reference of the pump unit may be implemented as data stored in the storage unit, and the pump operation mode input step sets the second mode as a default, but at a predetermined control period in the sensing step described below. If the rainfall is maintained for a predetermined time or more during the predetermined time based on the detected rainfall detection data, the pump operating mode to be operated by judging by heavy rain event may be automatically selected and entered into the third mode. The input stage can be variously modified in a range that constitutes an alternative function of a predetermined pump operating mode.

After the input step S20 is completed, the control unit 300 advances the control flow to step S30. In the sensing step (S30), the control unit 300 receives a sensing control signal from the sensing unit 100 to apply a sensing control signal to the sensing unit 100. That is, the control unit 300 receives an electric control signal through the rainfall sensor 120 to the water level sensor 110 by applying a detection control signal to the detection unit 100 and changes the rainfall and the water level sensor through the electric signal. Based on the detection, the sensing data such as the current level of the reservoir and rainfall for the watershed is stored in the storage 400. This sensing step is repeated every predetermined control period, and an appropriate control period is set in consideration of data capacity and accuracy.

After the sensing step S30 is completed, the control unit 300 advances the control flow to step S40. The pump operation control step S40 includes a pump operation mode determination step S40a and a pump operation mode execution step S40b. In the pump operating mode determination step (S40a), the control unit 300 determines the pump operating mode input in the input step S20, and the pump operating mode execution step (S40b) corresponds to that determined in the pump operating mode determination step (S40a). The controller 300 applies the execution control signal to the pump 700 to execute the pump operating mode. As shown in FIG. 4, the pump operating mode determining step S40a determines which pump operating mode is input in the input step S20 through a single row sub judging step. In step S41, the controller 300 selects an input selection. It is determined whether the pump operating mode is the first mode, and if it is determined in step S41 that the input selected pump operating mode is not the first mode, it is determined whether the input selected pump operating mode is the second mode in step S42. In addition, if it is determined in step S42 that the pump selected operation mode is not the second mode, it is determined as the third mode and the control flow proceeds to step S47. When it is determined that the pump operating mode input and selected in each of the steps S41 and S42 is the first mode, the second mode and the third mode, respectively, the first mode execution step S45 as a sub step of the pump operation mode execution step S40b, respectively. ), The second mode execution step S46 and the third mode execution step S47 are performed. In this case, the operation reference level data EL includes a pump stop level ELs, an initial start level EL1, and a plurality of run levels EL2 and EL3, and the pump stop level ELs includes the pump unit 700. If the measured water level ELm is a value equal to or lower than the pump stop water level ELs, the pump unit 700 must be stopped to prevent damage due to cavitation or the like. . The pump unit 700 includes a plurality of pumps. In this embodiment, a case in which three pumps are provided will be described. However, the number of pumps is not limited thereto. In the case where the pump that is initially operated in the pump unit 700 is called the first pump, the initial operating water level EL1 is a reference level of whether the first pump is operating, and the measurement water level ELm (see FIG. 9) is the initial operating water level EL1. In case of abnormality, the first pump starts operation. The multi-operation level EL2 and EL3 include a second movable level EL2 which is a criterion for additional operation of the second pump and a third movable level EL3 which is a criterion for additional operation of the third pump. The second pump and the third pump may be individually selected according to the specifications of each pump and the design specifications of the corresponding smart rainwater pumping facility, and the first pump may also be a single pump or a plurality of pumps representing initial operation. Various modifications are possible depending on the design specifications, such as may be configured as a pump.

First, when the pump operating mode is the first mode, the first mode execution step S45 as a sub step of the pump operation mode execution step S40b includes a stop level comparison step S451, an initial operation level comparison step S452, and And a plurality of operation level comparison steps (S453, S454). In the stop level comparison step S451, the control unit 300 compares the measurement level ELm and the pump stop level ELs as the sensing data detected by the reservoir level sensor 110 of the detection unit 100. If the control unit 300 determines that ELm is less than or equal to the pump stop water level ELs, the control unit 300 switches the control flow to step S459 to apply an execution control signal that the operation of the current pump unit 700 should be stopped. This stops the operation of each pump.

On the other hand, when the controller 300 determines that the measured water level ELm is greater than the pump stop water level ELs in step S451, the controller 300 advances the control flow to step S452 to execute the initial operating water level comparison step S452. do. In the initial operation level comparison step (S452), the control unit 300 compares the measurement level ELm and the initial operation level El1, and the control unit 300 determines that the measurement level ELm is less than or equal to the initial operation level El1. If so, the control unit 300 switches the control flow to step S458 to maintain the current operation of the pump unit 700 in the standby state.

On the other hand, when the control unit 300 determines that the measured water level ELm is greater than the initial operating water level EL1 in step S452, the control unit 300 advances the control flow to step S453a to execute the multiple operation water level comparison step 453a. do. The plural movable water level comparison steps S453a compare the measurement water level ELm with the plural plural movable water levels EL2 and EL3. The pump unit 700 according to the present embodiment includes a second pump and a third pump, and includes a second movable level EL2 and a third movable level EL3 as the respective pump operating reference water positions. The level comparison step S453a determines whether a plurality of pumps are operated. The multi-operation level comparison step S453a includes a second operation level comparison step S453 and a third operation level comparison step S454, and the second operation level comparison step S453 includes the measurement level ELm and the second operation level comparison step S453. When the operation level EL2 is compared and the measurement level ELm is less than or equal to the second operation level El2, the control unit 300 operates only a single pump to operate only the first pump as a pump operation control signal to be executed by the pump unit 700. The unit start step (S457) is executed. On the other hand, if it is determined in step S453 that the measured water level ELm is greater than the second movable water level EL2, the controller 300 advances the control flow to step S454 to execute the third water level comparison step S454. In the third water level comparison step S454, when the measured water level ELm is lower than or equal to the third movable water level EL3, the controller 300 is a pump operation control signal to be executed by the pump unit 700, and the first pump and the second pump. The dual unit operation step (S456) of starting the unit is executed. On the other hand, if it is determined in step S454 that the measured water level ELm is greater than the third movable water level EL3, the control unit 300 advances the control flow to step S455 to fully operate all the pumps of the pump unit 700. The operation step S455 is executed. According to such a control step, when the pump operating mode is the first mode, the control unit takes a structure that is operated by comparing the measured water level and the pump operating reference level, so that an operating mode suitable for the case where the area of the reservoir is large can be executed.

On the other hand, when the pump operating mode is the second mode, the control unit 300 executes the second mode execution step (S46). The second mode execution step S46 includes an inflow amount prediction step S461, an overload determination step S465, and a prediction inflow amount exclusion step S467. Here, the preset data stored in the storage unit 400 includes the watershed data including the watershed area subwatershed width and the like, and the stormwater network data including the stormwater length. In the flow rate prediction step S461, the control unit 300 applies a calculation control signal to the operation unit 500 to detect data including the measurement level and rainfall of the detection unit 100, and preset data stored in the storage unit 400. A prediction operation for estimating the amount of inflow into the reservoir after the predetermined time step is performed based on. The inflow prediction step S461 includes a surface outflow prediction step S4610, an excellent conduit outflow prediction step S4620, and a prediction inflow calculation step S4630.

The surface runoff prediction step S4610 includes a subwatershed prediction depth calculation step S4611, a subwatershed prediction depth correction step S4613, a subwatershed prediction runoff calculation step S4615, and a subwatershed prediction depth calculation step S4617. The watershed A associated with the smart rainwater pump facility 10 includes a plurality of subwatersheds A1, A2, ..., ANA. First, the controller 300 performs the subwatershed rainfall prediction depth calculation step S4611. Compute the predicted depth after rainfall for the subwatershed (N = i, i = 1, ..., NA) detected at time t.

Figure pat00001

Where D1, i is the depth after rainfall to subwatershed Ai, Dt, i is the measurement depth on subwatershed at time t, Δt represents the control time step, Rt is rainfall intensity in time interval Δt Dt, i and Rt are sensed data detected through a rainfall sensor.

Then, in the subwatershed prediction depth correction step (S4613), the controller 300 causes the calculation unit 500 to correct the rainfall prediction depths D1 and i to calculate as follows.

Figure pat00002

Here, D2, i represents the corrected subwatershed prediction depth, It represents the penetration rate (mm / hr), the penetration rate can be calculated through a variety of methods, such as Philip to Holtan equation, but in the present embodiment is calculated through the Horton equation Can be.

Figure pat00003

Here, fo is the initial permeation, fc is the boil permeability, and k is determined according to the type and vegetation of the soil, which may be included in the preset data and stored in the storage unit 400. Through such a step S4613, a more accurate prediction including the infiltration conditions in the subwatershed can be derived.

Then, the subwatershed prediction runoff can be calculated in step S4615. In the subwatershed prediction runoff calculation step (S4615), the controller 300 calculates a prediction runoff amount for the subwatershed, and when the corrected subwatershed prediction depth D2, i is larger than the preset ground hold depth Dd, the subwatershed prediction runoff is It is calculated as follows.

Figure pat00004

Figure pat00005

Where Vi is the average flow rate, n is the Manning roughness coefficient, So is the surface slope, W is the width of the subwatershed Ai, and Qw, i is the flow rate calculated at the subwatershed.

After the subwatershed prediction runoff is calculated in step S4615, the control unit 300 calculates the subwatershed prediction depth through the continuous equation based on the subwatershed prediction runoff in step S4615 (S4617). That is, in the subwatershed prediction depth calculation step (S4617), the controller 300 causes the calculation unit 500 to apply an operation control signal to calculate the prediction depth for each subwatershed as follows.

Figure pat00006

Then, the control unit 300 determines whether the surface runoff prediction operation of all subwatersheds is completed in the count determination step S4618 to repeat the above steps for all subwatersheds, and in step S4618, the prediction operation step for all subwatersheds is not completed. If it is determined that this is not the case, the prediction operation is performed by incrementing the counter N, which is repeated until the counter N is equal to the total number of subwatersheds NA.

After the surface runoff prediction step S4610 is completed, the control unit 300 executes the storm drain runoff prediction step S4620. The storm runoff runoff prediction step S4620 includes the storm runoff prediction runoff calculation step S4621 and the storm runoff prediction. It includes a depth increase calculation step (S4623), storm water prediction prediction runoff calculation step (S4625), storm water prediction prediction depth calculation step (S4628). The stormwater drainage network for the watershed has a number of NMs (j = 1, ..., NM). First, the control unit 300 causes the operation unit 500 to calculate the good conduit prediction inflow Qin, j.

Figure pat00007

Here, Qin, j represents the inflow amount flowing into the storm conduit, Qw, i represents the outflow from the i-th subwatershed calculated in the above step, Qgi, j represents the flow rate of the upstream point in the storm conduit.

Thereafter, the control unit 300 calculates the depth increase using the running water pipe prediction inflow in step S4623 (S4623).

Figure pat00008

Here, Y1, j, Yt, j represents the depth in the storm conduit at time t, and As represents the average value of the cross-sectional areas for two Y1, j, Yt.

After the prediction depth increase is calculated, the controller 300 controls the operation unit 500 to proceed to the control flow in step S4625 to calculate the predicted outflow amount in the storm drain (S4627).

Figure pat00009

Here, Qg, j represents the amount of outflow in the storm drain, Ac represents the flow cross-sectional area corresponding to the depth of Y1, j, R represents the hardness of storm drain, and So represents the channel slope.

After the prediction runoff in the storm drain is calculated, the control unit 300 executes step S4627 to calculate the prediction depth Yt + Δt, j in the next storm, that is, predicted at the next time step (t = t + Δt). (S4627).

Figure pat00010

Thereafter, the control unit 300 determines whether the runoff prediction operation of all the storm drains is completed in the count determination step S4628 so as to repeat the above steps with respect to the total storm drains. If it is determined that it is not, the counter M is incremented to perform the predictive operation step, which is repeated until the counter M is equal to the total number of good drains MP. Through the control process as described above, the control unit 300 and the calculation unit 500 may secure the flow rate prediction data of the storm water network. The flow rate prediction data includes forecast water level data in the conduit where the manhole and the storm conduit are connected, which are used to determine whether the overload is determined in the overload determination step described below.

After the surface runoff prediction step S4610 and the storm runoff prediction step S4620 are performed, the controller 300 calculates the prediction inflow rate into the reservoir using the data derived from the two prediction steps. Step S4630 is executed. That is, by using the subwatershed runoff amount predicted in the surface runoff step and the predicted flow rate data in the storm water drainage network continuously, a predicted inflow amount finally flowed into the reservoir can be derived, and the estimated inflow rate is continuously In case of derivation, a predetermined predicted runoff hydrograph can be derived.

After the inflow amount prediction step is completed, the controller 300 executes the overload determination step (S465) to prevent the inundation situation due to the overflow in the upper subwatershed and to maintain the constant speed of the operation of the pump unit 700. In the overload determination step (S465), the control unit 300 performs conduit prediction water level data Dpe of the conduit 4 to which the manhole 5 (see FIG. 7) and the storm conduit 3, which are derived during the process performed in the inflow prediction step, are connected. ). The storage unit 400 stores the conduit overload reference level Dp, and the controller 300 compares the estimated conduit prediction level Dpe with the conduit overload reference level Dp. The controller 300 determines an overload state when the conduit prediction level Dpe is greater than the conduit overload reference level Dp, and determines that the overload condition level Dpe is not an overload state. If it is determined that the control unit 300 is not in an overload state, the control unit 300 advances the control flow to step S45 to execute the first mode to control the operation of the pump unit 700 by comparing the operation reference level and the measurement level. Run

On the other hand, if it is determined that the controller 300 is overloaded, the controller 300 advances the control flow to step S467 in order to prevent overflow through the manhole 5 due to subsequent rainfall. That is, when rainfall data is detected as R1, R2, R3 up to time steps t1, t2, t3, as shown in FIG. 10, curve C represents the predicted outflow hydrograph and the area below the curve from t3 to t4. (Hatched area) indicates the predicted inflow amount, and when the control unit 300 determines that it is an overload state, the control unit 300 pumps to exclude all the predicted inflow amount which is an area (hatched area) below the curve from t3 to t4. By performing the predicted inflow amount exclusion step S467 for driving control of the unit 700, the overflow in the upstream basin is prevented and a stable pump unit is operated.

On the other hand, when the pump operating mode is the third mode, the control unit 300 performs a third mode execution step (S47), the third mode execution step (S47) is a flow rate prediction step (S461) and the initial operating water level band A measurement level comparison step S475 is included, and the flow rate prediction step S461 is the same as above, and the description is replaced with the above to avoid duplication. After the flow rate prediction step S461 is executed, the control unit 300 compares the measurement level ELm with the initial operating level EL1 (S475), and when the measurement level ELm is equal to or less than the initial operating level EL1, The controller 300 applies a standby control signal to maintain the standby state to the pump 700 (S476).

On the other hand, when the measured water level ELm is greater than the initial operating water level EL1 in step S475, the controller 300 causes the pump unit 700 to execute the predicted inflow amount exclusion step S477 for excluding all the predicted inflows. The control signal is applied to the pump 700.

Through such a control method of the smart rainwater pump facility 10 it is possible to operate a more stable selective control mode. 13 is a diagram for clearly explaining the results of the control method of the smart rainwater pump installation 10 according to an embodiment of the present invention and the difference in operation in the conventional installation, as shown in FIG. , Rainfall data at times t1, t2, t3, etc. are shown, and the estimated reservoir inflow data and water level data are shown based on this. When the current time t = t3, the detected rainfall data from t1 to t3 is shown. When calculating using, the predicted inflow quantity expected to flow in the next time interval t3 to t4 is calculated as Q. However, the pump part of the conventional system does not run because the measurement level ELm at time t = t3 has a value much smaller than the initial operating level EL1 of the pump in the conventional manner. On the other hand, in the second mode of the control method according to the present invention, even if the measured water level ELm is smaller than the initial operating water level EL1 of the pump, the operation of the preceding pump unit is implemented through a process of determining whether or not an overload occurs. By operating to exclude all the predicted flow rate, even if the rainfall is subsequently increased, it is possible to prevent or minimize the possibility of overflow, etc. in the upstream basin, and to implement a stable pump drive.

As described above, in the smart rainwater pump installation and its control method according to the present invention, an appropriate control method may be selected through the selection of a plurality of pump operating modes by the operator, the conduit depth prediction and inflow amount of the conduit connected to the manhole Various configurations are possible in the range that prevents upstream overflows and implements a quick and stable drainage system through forecasting.

10 ... smart rainwater pump plant 100 ... sensing unit
200 ... Input 300 ... Control
400 storage 500 operation
600 ... Display unit 700 ... Pump unit
800 ... sound output

Claims (9)

A pump unit including a plurality of pumps connected to the reservoir, a detector including a reservoir level sensor and a rainfall sensor for the basin, an input unit for receiving a pump operation mode selected by an operator, and a preset for the basin A control unit for storing data, a control unit electrically connected to the sensing unit, the input unit, and the storage unit to apply an operation control signal to the pump unit based on the preset data and a detection signal of the sensing unit; Providing a smart rainwater pump facility having a calculation unit connected to a control unit and calculating a predicted inflow amount of the reservoir according to the operation control signal of the control unit;
An input step of inputting a pump operation mode selected by an operator through the input unit;
A detection step of detecting, by the reservoir level sensor and the rainfall sensor, rainfall of the reservoir level and the watershed;
And a pump operation control step of controlling, by the control unit, to select and operate a pump to be operated among the pump units based on the signal sensed in the sensing step and preset data of the storage unit.
The method of claim 1,
The input step is:
A pump operation prediction water level input step of inputting operation reference water level data for operation of the pump unit;
A pump operation mode input selection step of selecting one of a pump operation mode preset for operation of the pump unit and stored in the storage unit,
The pump operating mode is:
A first mode of operating the pump unit when the reservoir level detected in the sensing step corresponds to the operation reference level;
A second mode for excluding all the inflow amount for executing the first mode or selectively operating the pump unit according to whether or not the overload is predicted in the manhole of the watershed;
And a third mode of operating the pump unit to exclude the total amount of inflow to exclude the total amount of the predicted inflow flowing into the reservoir according to whether or not the overload is predicted in the manhole of the watershed.
The method of claim 2,
The pump operation control step is:
A pump operating mode determination step of determining, by the control unit, a pump operating mode input in the input step;
And a pump operating mode executing step of applying, by the control unit, an execution control signal to the pump unit so as to execute the corresponding pump operating mode determined in the pump operating mode determining step.
The method of claim 3,
The start reference water level data includes pump stop water level ELs which is a criterion of whether to stop the operation of the pump unit, an initial start water level EL1 which is a criterion of whether or not the first pump is operated among the pump units, and a pump other than the first pump. It includes a plurality of the plurality of water level (EL2, EL3) that is the reference of the operation of,
When the input pump operating mode is the first mode, the pump operating mode execution step is:
A stationary water level comparing step of comparing the stationary water level with the measured water level (ELm) detected by the reservoir water level sensor;
An initial operation level comparison step of comparing the measurement level with the initial operation level when the measurement level is greater than or equal to the stationary level in the stationary level comparison step;
And a plurality of operating level comparison steps for comparing the measured level with the plurality of operating levels when the measured level is greater than the initial operating level in the initial operating level comparison step.
The method of claim 4, wherein
The pump unit further includes a second pump and a third pump, wherein the plurality of the plurality of movable levels are the second movable water level based on whether the first pump and the second pump are operated, and the first to third pumps. A third operation level, which is a standard of operation of
The multiple operation level comparison step is:
A second operation level comparison step of comparing the measurement level with the second operation level;
And a third operation level comparison step of comparing the measurement level with the third operation level when the measurement level is greater than or equal to the second operation level in the second operation level comparison step. .
The method of claim 3,
The watershed includes a plurality of subwatersheds and stormwater drainage networks by stormwater drainage for the watershed,
The start reference water level data includes pump stop water level ELs which is a criterion of whether or not the pump unit is stopped, initial run water level EL1 which is a standard of whether or not the first pump is operated among the pump units, and a pump other than the first pump. A plurality of operation levels (EL2, EL3) that is a criterion of whether or not to operate, wherein the preset data includes watershed data and stormwater network data for the watershed and the stormwater network;
When the input pump operation mode is the second mode, the pump operating mode execution step is:
An inflow prediction step of predicting and calculating the inflow into the reservoir after a predetermined time step by the control unit based on the preset data, the detection data of the detection unit, the watershed data, and the storm water conduit data;
An overload determination step of determining whether or not an overload condition is based on predicted overflow data in each subwatershed included in the forecast inflow data in the inflow forecasting step;
If it is determined that the overload state in the overload determination step, smart rainwater pump facility control method comprising the step of removing the predicted inflow amount of the pump to operate the pump unit to exclude the entire predicted inflow amount.
The method of claim 6,
If it is determined that the overload is not in the overload state,
A stationary water level comparing step of comparing the stationary water level with the measured water level (ELm) detected by the reservoir water level sensor;
An initial operation level comparison step of comparing the measurement level with the initial operation level when the measurement level is greater than or equal to the stationary level in the stationary level comparison step;
And in the initial operating water level comparing step, when the measured water level is equal to or greater than the initial operating water level, a plurality of operating water level comparison steps for comparing the measured water level with the plurality of operating water levels are executed.
The method of claim 3,
The watershed includes a plurality of subwatersheds and stormwater drainage networks by stormwater drainage for the watershed,
The start reference water level data includes pump stop water level ELs which is a criterion of whether to stop the operation of the pump unit, an initial start water level EL1 which is a criterion of whether or not the first pump is operated among the pump units, and a pump other than the first pump. And a plurality of operation levels (EL2, EL3) as a criterion of whether or not to operate, wherein the preset data includes watershed data and storm water network data for the watershed and the storm water network;
When the input pump operating mode is the third mode, the pump operating mode execution step may include:
An inflow prediction step of predicting and calculating the inflow into the reservoir after a predetermined time step by the control unit based on the preset data, the detection data of the detection unit, the watershed data, and the storm water conduit data;
An initial operation level vs. measurement level comparison step of the control unit comparing the initial operation level with the measurement level in the sensed data;
Smart rain water pump equipment, characterized in that the step of removing the predicted inflow amount to operate the pump unit to exclude the total amount of the estimated inflow rate when the measured level is greater than the initial operating level in the initial operation level vs. the measurement level comparison step Control method.
A smart rainwater pumping station control device having a plurality of pumps,
A detector including a reservoir level sensor and a rainfall sensor for the basin;
An input unit for receiving a pump operating mode selected by an operator,
A storage unit that stores preset data for the watershed,
A control unit electrically connected to the sensing unit, the input unit, and the storage unit to apply an operation control signal to the pump based on the preset data and a sensing signal of the sensing unit;
A calculation unit connected to the control unit to calculate a predicted inflow amount of the reservoir and a conduit prediction level in the conduit connected to the runoff conduit of the basin according to the operation control signal of the control unit,
Smart rainwater pumping station control device for the control unit determines whether the overload occurs due to the overflow in the predicted basin.







KR1020100085048A 2010-08-31 2010-08-31 Smart pump system and method for controlling the same KR20120022037A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020100085048A KR20120022037A (en) 2010-08-31 2010-08-31 Smart pump system and method for controlling the same

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020100085048A KR20120022037A (en) 2010-08-31 2010-08-31 Smart pump system and method for controlling the same

Publications (1)

Publication Number Publication Date
KR20120022037A true KR20120022037A (en) 2012-03-09

Family

ID=46130249

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020100085048A KR20120022037A (en) 2010-08-31 2010-08-31 Smart pump system and method for controlling the same

Country Status (1)

Country Link
KR (1) KR20120022037A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101271423B1 (en) * 2012-10-18 2013-06-05 주식회사 현진기업 Underground penetration type rainwater filtering device and constructing method thereof
KR20150142308A (en) 2014-06-11 2015-12-22 주식회사 태명 Manhole pumping station monitoring and control system using mobile phone
KR101588130B1 (en) 2014-09-01 2016-01-26 고려대학교 산학협력단 Intelligent pump system and method for controlling the same
KR20170014094A (en) 2015-07-28 2017-02-08 고려대학교 산학협력단 Smart pump station operation system and method
US10378544B2 (en) 2015-04-09 2019-08-13 Brian Rosser Rejniak Apparatus, systems and methods for protecting pumps
KR102433245B1 (en) * 2022-04-11 2022-08-18 배수연 remote control device for managing rainwater pumping stations
KR102579259B1 (en) * 2022-12-29 2023-09-21 주식회사 중앙이엠씨 Intelligent rainwater management system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101271423B1 (en) * 2012-10-18 2013-06-05 주식회사 현진기업 Underground penetration type rainwater filtering device and constructing method thereof
KR20150142308A (en) 2014-06-11 2015-12-22 주식회사 태명 Manhole pumping station monitoring and control system using mobile phone
KR101588130B1 (en) 2014-09-01 2016-01-26 고려대학교 산학협력단 Intelligent pump system and method for controlling the same
US10378544B2 (en) 2015-04-09 2019-08-13 Brian Rosser Rejniak Apparatus, systems and methods for protecting pumps
US10989200B2 (en) 2015-04-09 2021-04-27 Brian Rosser Rejniak Apparatus, systems and methods for protecting pumps
KR20170014094A (en) 2015-07-28 2017-02-08 고려대학교 산학협력단 Smart pump station operation system and method
KR102433245B1 (en) * 2022-04-11 2022-08-18 배수연 remote control device for managing rainwater pumping stations
KR102579259B1 (en) * 2022-12-29 2023-09-21 주식회사 중앙이엠씨 Intelligent rainwater management system

Similar Documents

Publication Publication Date Title
KR20120022037A (en) Smart pump system and method for controlling the same
JP4456037B2 (en) Tunnel drainage monitoring and control method and tunnel drainage monitoring and control system
JP2010203964A (en) Monitoring control system of sewerage facility
KR101545335B1 (en) Pump control system and method for rainfall water discharge of reservoir using artificial neural network and fuzzy logic
KR20070095820A (en) Integrated supervision and diagnosis apparatus
JP2010048020A (en) Monitoring control device
JP2010196369A (en) Rainwater drainage control device
JP5949979B1 (en) Information processing apparatus, information processing system, information processing method, and program
KR20170014094A (en) Smart pump station operation system and method
JP2009108534A (en) Rainwater storage facility and monitoring-management system for rainwater storage facility
US20120065786A1 (en) Method and Device for Controlling a Wastewater Network
CN114331186A (en) Drainage plant network river intelligent scheduling method and system
KR100583815B1 (en) Apparatus and method for integrated management of drainage pump area
JP2009108537A (en) Rainwater storage facility
JP2007146423A (en) Rainwater storage facility operational system
KR20050078189A (en) Sewer monitoring and data analyzing method
KR101588130B1 (en) Intelligent pump system and method for controlling the same
JP2005222444A (en) Method and device for calculating statistical prediction value
KR101277227B1 (en) System and mtheod for running a rain-water retaining facility in real time
KR101088728B1 (en) Undercurrent Tank Watergate Administration System
JP4895140B2 (en) Drainage operation support device and method for operation in confluence type pumping station
KR101659310B1 (en) System and method for managing drain pipes
JPH05134715A (en) Neural network applicated device for predicting rail flow-in quantity
JP2006187682A (en) Method for estimating quality of inflow sewage water and support system for discharging rain water
JP2006070543A (en) Stormwater drainage control system

Legal Events

Date Code Title Description
A201 Request for examination
E902 Notification of reason for refusal
E601 Decision to refuse application