KR102494790B1 - RTU and smart water management system - Google Patents

Abstract

An RTU is disclosed. The RTU includes a first board, a second board that can be combined with the first board, and a sensor module that can be inserted into the second board, wherein the first board is the second board. a first microprocessor for executing operations for transmitting the sensor data received from the first microprocessor, a communication module for transmitting the sensor data received from the second board under the control of the first microprocessor, and a communication module for transmitting the sensor data received from the second board. and a first board communication interface for receiving sensor data. The second board includes a second microprocessor for performing operations for receiving sensor data from the sensor module, a second board communication interface for transmitting the sensor data to the first board, a plurality of module communication interfaces, and a contact Includes slots in which terminals are implemented. Any one of the plurality of module communication interfaces is determined according to a combination of the contact terminal of the sensor module and the contact terminal of the slot.

Description

RTU and smart water management system including it {RTU and smart water management system}

Embodiments according to the concept of the present invention relate to a remote terminal unit (RTU) and a smart water management system including the same, and in particular, to an RTU capable of supporting various sensors and a smart water management system including the same.

Flood gates are installed in rivers or reservoirs to prevent flood damage by controlling the amount of water during floods such as heavy rain. Conventionally, a manager directly approaches and controls a floodgate in an unfavorable weather environment such as flood, heavy rain, or typhoon. In this case, there is a risk of a manager's safety accident. In addition, when the distance between the manager and the floodgate is long, there is a problem in that it cannot immediately respond to the weather environment that changes every moment.

RTU (Remote Terminal Unit) is a device that transmits the sensor data generated from the sensor to the server by combining with the sensor. A sensor combined with the RTU may be various, such as an analog sensor generating an analog sensor signal or a digital sensor generating a digital signal. If configurations for supporting all of the various sensors are implemented in one RTU, the chip size and complexity of the RTU increases.

Korea Intellectual Property Office Registration No. 10-2020925

A technical problem to be achieved by the present invention is to provide an RTU capable of supporting various sensors and a smart water management system including the RTU.

An RTU according to an embodiment of the present invention includes a first board, a second board that can be combined with the first board, and a sensor module that can be inserted into the second board. The first board includes a first microprocessor executing operations for transmitting sensor data received from the second board, and communication for transmitting the sensor data received from the second board under the control of the first microprocessor. module, and a first board communication interface for receiving the sensor data from the second board.

The second board includes a second microprocessor for performing operations for receiving sensor data from the sensor module, a second board communication interface for transmitting the sensor data to the first board, a plurality of module communication interfaces, and a contact Includes slots in which terminals are implemented.

Any one of the plurality of module communication interfaces is determined according to a combination of the contact terminal of the sensor module and the contact terminal of the slot.

The sensor module includes a connection interface to which analog sensors are coupled, an analog to digital converter (ADC) that converts analog signals received from the analog sensors into digital signals, and a contact terminal for supporting I2C, SPI, or UART. include

A smart water management system according to an embodiment of the present invention includes a server, a first sensor group, and a second sensor group. The first sensor group includes a first IP camera for capturing the surroundings of a first area where a first water gate is located, a first hygrometer for measuring humidity in the first area, and a first internal water level meter for measuring the water level inside the first water gate. , a first sluice gate hoist for controlling the first sluice gate, a first rainfall sensor for measuring the amount of rain in the first area, and a first external device for measuring the external water level of the first sluice gate when the first sluice gate is opened. and a first RTU configured to receive first humidity data measured from the water level gauge, first humidity data measured from the first hygrometer, first water level data measured from the first internal water level gauge, and first rainfall data measured from the first rainfall sensor. The second sensor group includes a second IP camera for photographing the surroundings of a second area separated from the first area by a predetermined distance, a second hygrometer for measuring humidity in the second area, and an amount of rain in the second area. and a second rainfall sensor for measuring, and a second RTU for receiving the second humidity data measured from the second hygrometer and the second rainfall data measured from the second rainfall sensor.

The server receives the first humidity data from the first RTU in a first period and receives the second rainfall data from the 2 RTU in a first period according to a request signal of the server, Receiving the first image and the second image taken from each of the 2IP cameras, and applying the first neural network algorithm to the first image, the second image, the first humidity data, and the second rainfall data as inputs, Predicted water levels in the first region and the second region are predicted.

The server analyzes a correlation between the first humidity data and the second rainfall data, and when the first humidity data is less than or equal to a first arbitrary value and the second rainfall data is greater than or equal to a second arbitrary value, the server analyzes the correlation between the first humidity data and the second rainfall data. The first rainfall data is received from the first RTU and the first humidity data is received from the second RTU, a difference between the first rainfall data and the second rainfall data is equal to or less than a third arbitrary value, the first humidity data When a difference between the second humidity data and the second humidity data is greater than or equal to a fourth arbitrary value, determining whether the second humidity data is greater than or equal to the first arbitrary value and the second rainfall data is greater than or equal to the second arbitrary value, When the second humidity data is greater than or equal to the first arbitrary value and the second rainfall data is greater than or equal to the second arbitrary value, it is determined that the first hygrometer measuring the first humidity data has an abnormality, and the first When the difference between the humidity data and the second humidity data is equal to or less than the fourth arbitrary value, and the difference between the first rainfall amount data and the second rainfall data is equal to or greater than the third arbitrary value, the first humidity data It is determined whether it is less than or equal to a first arbitrary value and the first rainfall data is less than or equal to the second arbitrary value, and the first humidity data is less than or equal to the first arbitrary value, and the first rainfall data is less than or equal to the second arbitrary value. When it is less than the value of , it is determined that the second rainfall sensor that measured the second rainfall data has an abnormality.

As a result of application of the first neural network algorithm, when the expected water levels in the first region and the second region are predicted to be higher than or equal to a certain water level, the first RTU receives the first humidity data and the first humidity data according to a request of the server. The internal water level data, the first atmospheric pressure data, and the first rainfall data are transmitted to the server, and the second RTU transmits the second humidity data, the second atmospheric pressure data, and the second rainfall amount according to a request of the server. transmits data to the server, wherein the server transmits the first humidity data, the first internal water level data, the first atmospheric pressure data, the first rainfall data, the second humidity data, the second atmospheric pressure data, and the first atmospheric pressure data; 2 Predicted water levels in the first area and the second area are re-predicted by applying a second neural network algorithm different from the first neural network algorithm with additional input of rainfall data.

When the predicted water levels in the re-predicted first region and the second region are predicted to be equal to or greater than the arbitrary water level, the server transmits the first RTU and the second RTU to each other in a second cycle shorter than the first cycle. Transmission of the first humidity data, the first internal water level data, the first atmospheric pressure data, the first rainfall data, the second humidity data, the second atmospheric pressure data, and the second rainfall data measured at different times request.

When the size of the sensor data transmitted from the 1st RTU and the 2nd RTU is greater than or equal to a predetermined size, the server sends the 1st RTU the 1st humidity data, the 1st internal water level data, the 1st barometric pressure data, and the 1st atmospheric pressure data. The first RTU is controlled to transmit rainfall data to the 1 IP camera instead of the server, and the server transmits the second humidity data, the second water level data, and the second rainfall data to the 2 RTU. and controls the second RTU to transmit data to the first IP camera, wherein the first IP camera transmits the first humidity data, the first internal water level data, the first atmospheric pressure data, and the first rainfall received from the first RTU. Data and the second humidity data, the second water level data, and the second rainfall data received from the 2nd RTU are applied to the second neural network algorithm to determine the expected water levels in the first area and the second area. Predict, and transmit the result of the prediction to the server.

The RTU and the smart water management system including the same according to an embodiment of the present invention have an effect of supporting various sensors without increasing the complexity of the RTU by using a slot method.

In addition, the smart water management system according to an embodiment of the present invention has an effect of efficiently managing floods by accurately predicting the water level by applying a neural network algorithm.

1 shows a block diagram of a smart water management system according to an embodiment of the present invention.
FIG. 2 shows a flowchart for explaining an operation between IP cameras, RTUs, and a server shown in FIG. 1 .
FIG. 3 shows a graph of humidity data and rainfall data shown in FIG. 1 .
Figure 4 is a diagram of sensor data transmitted to the server by the RTU shown in Figure 1; indicate
FIG. 5 shows a block diagram of any one of the RTUs shown in FIG. 1 .
6 shows an actual product picture of the RTU.

Specific structural or functional descriptions of the embodiments according to the concept of the present invention disclosed herein are merely exemplified for the purpose of explaining the embodiment according to the concept of the present invention, and the embodiments according to the concept of the present invention may take various forms. It can be implemented as and is not limited to the embodiments described herein.

Embodiments according to the concept of the present invention can be applied with various changes and can have various forms, so the embodiments are illustrated in the drawings and described in detail in this specification. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosed forms, and includes all modifications, equivalents, or substitutes included in the spirit and technical scope of the present invention.

Terms such as first or second may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component, e.g., without departing from the scope of rights according to the concept of the present invention, a first component may be termed a second component and similarly a second component may be referred to as a second component. A component may also be referred to as a first component.

It should be understood that when a component is referred to as being "connected" or "connected" to another component, it may be directly connected or connected to the other component, but other components may exist in the middle. will be. On the other hand, when a component is referred to as “directly connected” or “directly connected” to another component, it should be understood that no other component exists in the middle. Other expressions describing the relationship between components, such as "between" and "directly between" or "adjacent to" and "directly adjacent to", etc., should be interpreted similarly.

Terms used in this 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 dictates otherwise. In this specification, terms such as "comprise" or "having" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in this specification, but one or more other features It should be understood that it does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined herein, they are not interpreted in an ideal or excessively formal meaning. .

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

1 shows a block diagram of a smart water management system according to an embodiment of the present invention.

Referring to FIG. 1 , a smart water management system 100 is a system that can be remotely and automatically controlled by a water gate 11 using IoT technology. The smart water management system 100 includes a server 10, a first sensor group SG1, and a second sensor group SG2. The smart water management system 100 may be called various terms such as a smart flood management system.

The first sensor group SG1 includes a first IP camera 13, a first hygrometer 15, a first internal water level gauge 17, a first water gate hoist 19, a first barometer 21, and a first rainfall sensor ( 23), a first external water level gauge 25, and a first RTU (Remote Terminal Unit; 27).

The first IP camera 13 captures the surroundings of the first area R1 where the first water gate 11 is located. The first IP camera 13 transmits the captured image to the server 10 wirelessly. The vicinity of the first area R1 may mean an area including the first water gate 11 . The first sluice gate 11 is installed in the reservoir, and the first sluice gate 11 is opened when a flood is predicted. Depending on the embodiment, the location and shape of the first water gate 11 may vary. For example, the first water gate 11 may be installed in various places such as a river, a weir, or a reclaimed land. In some cases, the first water gate 11 may be closed when a flood is predicted.

The first hygrometer 15 measures humidity in the first area R1.

The first internal water level gauge 17 measures the internal water level of the first water gate 11. The inner water level of the first water gate 11 means the water level inside the reservoir.

The first sluice gate hoist (19) controls the first sluice gate (11). The first sluice gate 11 may be opened or closed through the first sluice gate hoist 19 . The server 10 may control the first sluice gate hoist 19 . The first sluice gate hoist 19 is controlled to open or close the first sluice gate 11 according to the command of the server 10 . The first floodgate 11 may be automatically controlled remotely by giving a command to open or close the first floodgate 11 from the server 10 instead of a manager.

The first barometer 21 measures air pressure in the first area R1.

The first rainfall sensor 23 measures the amount of rain in the first region R1.

When the first sluice gate 11 is opened, the first external water level gauge 25 measures the external water level of the first sluice gate 11 . The external water level of the first water gate 11 means the water level flowing in the river connected to the reservoir. The first external water level gauge 25 is used to check whether the first water gate 11 is properly opened. When the first water gate 11 is properly opened, water flows in the river and there will be a change in the water level measured by the first external water level gauge 25.

The first RTU 27 includes first humidity data measured from the first hygrometer 15, first water level data measured from the first internal water level gauge 17, first atmospheric pressure data measured from the first barometer 21, and First rainfall data measured by the first rainfall sensor 23 is received. The first RTU 27 is connected to the first hygrometer 15, the first internal water level gauge 17, the first barometer 21, and the first rainfall sensor 23 with cables. According to the embodiment, the first RTU 27 may be connected to the first sluice gate hoist 19. When the first RTU 27 and the first water gate hoist 19 are connected, the server 10 can remotely open and close the first water gate 11 by controlling the first water gate hoist 19 through the first RTU 27. there is. The smart water management system 100 may be implemented as a Supervisory Control And Data Acquisition (SCADA) system. The first RTU 27 may communicate with the server 10 through a communication protocol such as IEC 60870-5-101, IEC 61850, or DNP3. According to embodiments, the first RTU 27 may communicate with the server 10 through a communication protocol such as Ethernet or LTE.

The second sensor group SG2 includes a second IP camera 33, a second hygrometer 35, a second barometer 41, a second rainfall sensor 43, and a second RTU 47.

The second IP camera 33 captures the surroundings of the second area R2 separated from the first area R1 by a certain distance or more. The second IP camera 33 transmits the captured image to the server 10 wirelessly. The second area R2 refers to an area separated from the first area R1 by a certain distance or more.

The second hygrometer 35 measures humidity in the second area R2.

The second rainfall sensor 43 measures the amount of rain in the second area R2.

The second barometer 41 measures air pressure in the second area R2.

Also, according to an embodiment, the second sensor group SG2 may further include a second water gate 31 . The second water gate 31 is opened when a flood is predicted. Depending on the embodiment, the location and shape of the second water gate 31 may vary. In some cases, the second floodgate 31 may be closed when a flood is predicted.

When the second sensor group SG2 further includes a second sluice gate 31, the second sensor group SG2 includes a second inner water level gauge 37, a second sluice gate hoist 39, and a second outer water level gauge ( 45) is further included.

The second inner water level gauge 37 measures the inner water level of the second water gate 31. The inner water level of the second water gate 31 means the water level inside the reservoir. Even if the first and second internal water gauges 17 and 37 are installed in the same reservoir, the water level measured by the first internal water level gauge 17 and the water level measured by the second internal water gauge 37 may differ depending on the topography of the reservoir. there is.

The second sluice gate hoist (39) controls the second sluice gate (31). The second sluice gate 31 may be opened or closed through the second sluice gate hoist 39 . The server 10 may control the second sluice gate hoist 39 . The second sluice gate hoist 39 is controlled to open or close the second sluice gate 31 according to the command of the server 10 . The second floodgate 31 can be automatically controlled remotely by commanding the server 10 to open or close the second floodgate 31 instead of a manager.

When the second sluice gate 31 is opened, the second external water level gauge 45 measures the external water level of the second sluice gate 31 . The external water level of the second water gate 31 means the water level flowing in the river connected to the reservoir. The second external water level gauge 45 is used to check whether the second water gate 31 is properly opened. When the second sluice gate 31 is properly opened, water flows in the river and there will be a change in the water level measured by the second external water level gauge 45.

The second RTU 47 includes second humidity data measured from the second hygrometer 35, second water level data measured from the second internal water level gauge 37, second atmospheric pressure data measured from the second barometer 41, or Second rainfall data measured by the second rainfall sensor 43 is received. The second RTU 47 is connected to the second hygrometer 35, the second internal water level gauge 37, the second barometer 41, or the second rainfall sensor 43 with a cable. Depending on the embodiment, the second RTU 47 may be connected to the second sluice gate hoist 39. When the 2nd RTU 47 and the second sluice gate lifter 39 are connected, the server 10 controls the second sluice gate lifter 39 through the 2nd RTU 47 to remotely open and close the second sluice gate 31. can The smart water management system 100 may be implemented as a Supervisory Control And Data Acquisition (SCADA) system. The second RTU 47 may communicate with the server 10 through a communication protocol such as IEC 60870-5-101, IEC 61850, or DNP3. According to embodiments, the second RTU 47 may communicate with the server 10 through a communication protocol such as Ethernet or LTE.

The server 10 receives the first humidity data from the first RTU 27 and receives the second rainfall data from the second RTU 47 according to the request signal of the server 10 . In addition, the server 10 receives a first image and a second image captured from the first IP camera 13 and the second IP camera 33, respectively.

The server 10 applies a first neural network algorithm to the first image, the second image, the first humidity data, and the second rainfall data as inputs to determine the first region R1 and the second region R2. predict the expected level of

The first neural network algorithm may be implemented as a DNN or CNN. The server 10 includes a processor (not shown) and a memory (not shown). The first neural network algorithm is performed by the processor. The first neural network algorithm is stored in the memory.

FIG. 2 shows a flowchart for explaining an operation between IP cameras, RTUs, and a server shown in FIG. 1 .

1 and 2, the first RTU 27 transmits the first humidity data measured from the first hygrometer 15 to the server 10 in a first cycle according to the request signal of the server 10 (S10). ). The server 10 receives the first humidity data from the first RTU 27 according to the request signal of the server 10 . The first RTU 27 includes first internal water level data measured from the first internal water level gauge 17, first atmospheric pressure data measured from the first barometer 21, and first rainfall data measured from the first rainfall sensor 23. By not transmitting to the server 10, communication traffic and power of the first RTU 27 can be saved.

The second RTU 47 transmits the second rainfall data measured by the second rainfall sensor 43 to the server 10 according to the request signal of the server 10 in the first cycle (S20). The server 10 receives the second rainfall data from the second RTU 47 according to the request signal of the server 10 . The second RTU 47 does not transmit the second humidity data measured from the second hygrometer 35 and the second atmospheric pressure data measured from the second barometer 41 to the server 10, so that communication traffic and the first RTU ( 27) can be saved.

The first IP camera 13 photographs the surroundings of the first area R1 where the first floodgate 11 is located, and transmits the captured first image to the server 10 (S30).

The second IP camera 33 photographs the surroundings of the second region R2 separated by a certain distance from the first region R1 and transmits the captured second image to the server 10 (S40).

The server 10 receives a first image and a second image captured from the first IP camera 13 and the second IP camera 33, respectively.

The server 10 applies a first neural network algorithm to the first image, the second image, the first humidity data, and the second rainfall data as inputs to determine the expected water level in the first area and the second area. Predict (S50).

As a result of applying the first neural network algorithm, when the expected water levels in the first area R1 and the second area R2 are predicted to be above a certain water level, the server 10 determines the first RTU 27 and the second RTU 47 ) to receive additional sensor data to increase the accuracy of prediction. The additional sensor data includes first internal water level data measured from the first internal water level gauge 17 that can be transmitted from the first RTU 27, first atmospheric pressure data measured from the first barometer 21, and a first rainfall sensor ( 23), the second humidity data measured from the second hygrometer 35, or the second atmospheric pressure data measured from the second barometer 41.

As a result of applying the first neural network algorithm, when the predicted water level in the first area R1 and the second area R2 is predicted to be above a certain water level, the first RTU 27 performs the above operation according to the request of the server 10. First sensor data including the first internal water level data, the first atmospheric pressure data, and the first rainfall data are transmitted to the server 10 (S60).

In addition, as a result of applying the first neural network algorithm, when the expected water levels in the first area R1 and the second area R2 are predicted to be above a certain water level, the second RTU 47 responds to the request of the server 10. Accordingly, the second sensor data including the second humidity data and the second barometric pressure data is transmitted to the server 10 (S70).

The server 10 receives the first internal water level data, the first atmospheric pressure data, the first rainfall data, the second humidity data, and the second atmospheric pressure data as additional inputs and uses a second neural network algorithm different from the first neural network algorithm. The expected water levels in the first region R1 and the second region R2 are re-predicted by applying (S80). Since the second neural network algorithm requires more inputs than the first neural network algorithm, the prediction accuracy of the second neural network algorithm is higher than that of the first neural network algorithm.

When the predicted water level in the re-predicted first region R1 and the second region R2 is predicted to be higher than or equal to the arbitrary water level, the server 10 transmits the first RTU 27 and the second RTU 47 to the first RTU 27 and the second RTU 47. With a second cycle shorter than the first cycle, the first humidity data, the first internal water level data, the first atmospheric pressure data, the first rainfall data, the second humidity data, and the second atmospheric pressure data measured at different times , and requests transmission of the second rainfall amount data. A detailed description of this will be described in detail in FIG. 3 . The first RTU 27 and the second RTU 47 have a second cycle shorter than the first cycle according to a request of the server 10, and the first humidity data measured at different times, the first internal water level data, the The first atmospheric pressure data, the first rainfall data, the second humidity data, the second atmospheric pressure data, and the second rainfall data are transmitted to the server 10 .

The server 10 calculates the size of sensor data transmitted from the first RTU 27 and the second RTU 47 . The sensor data means the first humidity data, the first internal water level data, the first atmospheric pressure data, the first rainfall data, the second humidity data, the second atmospheric pressure data, and the second rainfall data.

When the size of sensor data received from the first RTU 27 and the second RTU 47 is greater than a certain size, the server 10 sends the first RTU 27 the first humidity data, the first internal water level data, and the first RTU 27. The first RTU 27 is controlled to transmit the 1 atmospheric pressure data and the first rainfall data to the 1st IP camera 13 instead of the server 10 . The first RTU 27 transmits first sensor data including the first humidity data, the first internal water level data, the first atmospheric pressure data, and the first rainfall data under the control of the server 10 to the first IP camera. It is transmitted to (13) (S90).

When the size of the sensor data transmitted from the first RTU 27 and the second RTU 47 is greater than a certain size, the server 10 sends the second humidity data, the second water level data, and the second RTU 47 to the second RTU 47. 2 Controls the second RTU 47 to transmit rainfall data to the first IP camera 13 instead of the server 10 . The second RTU 47 transmits second sensor data including the second humidity data, the second water level data, and the second rainfall data to the first IP camera 13 (S100). When the server 10 receives sensor data from many RTUs, the server 10 may have issues with latency and bandwidth according to sensor data reception. In addition, if the server 10 simultaneously processes a lot of sensor data at once, an overload problem of the server 10 may occur. The server 10 controls the first RTU 27 and the second RTU 47 to transmit the sensor data of the first RTU 27 and the second RTU 47 to the first IP camera 13 instead of the server 10, so that the server 10 controls the first RTU 27 and the second RTU 47. In (10), the burden of neural network algorithm processing can be distributed to the 1st IP camera 13. Accordingly, latency and bandwidth problems due to sensor data burning can be solved. Also, the overload problem of the server 10 can be solved.

The first IP camera 13 includes first sensor data including the first humidity data, the first internal water level data, the first atmospheric pressure data, and the first rainfall data received from the first RTU 27, and The second sensor data including the second humidity data, the second water level data, and the second rainfall data received from the 2RTU 47 are input, and the second neural network algorithm is applied to determine the first area R1 and the second sensor data. The expected water level of the second region R2 is predicted (S110).

The first IP camera 13 transmits the result of the prediction to the server 10 (S120).

The 1 IP camera 13 includes a processor (not shown) for executing the second neural network algorithm and a memory (not shown) for storing the second neural network algorithm.

As a result of predicting the expected water level of the first region R1 and the second region R2, when flooding of the reservoir is predicted, the server 10 uses the first sluice gate lifter 19 or the second sluice gate lifter 39. The first sluice gate 11 or the second sluice gate 31 is controlled. That is, the server 10 transmits a control command to the first sluice gate hoist 19 or the second sluice gate hoist 39 to open or close the first sluice gate 11 or the second sluice gate 31 . The control command may be transmitted by an administrator of the server 10 . According to an embodiment, the control command may be automatically transmitted from the server 10 to the first sluice gate lifter 19 or the second sluice gate lifter 39 when flooding of the reservoir is predicted. In addition, according to the embodiment, the server 10 may open and close the first sluice gate 11 or the second sluice gate 31 through the first sluice gate winch 19 or the second sluice gate winch 39. ), or the control command may be transmitted to the second RTU (47).

FIG. 3 shows a graph of humidity data and rainfall data shown in FIG. 1 .

1 to 3, the first RTU 27 transmits the first humidity data HD1 measured from the first hygrometer 15 to the server 10 according to the request signal of the server 10 for a first period ( IV1) (S10). For example, at the first time T1, the first RTU 27 transmits the first humidity data HD1 to the server 10 according to the request signal of the server 10, and then at the second time T2 and the third time T2. At time T3 , the first RTU 27 transmits the first humidity data HD1 to the server 10 according to the request signal of the server 10 . Each of the first time T1 , the second time T2 , and the third time T3 has a first cycle IV1 .

The server 10 receives the first internal water level data ID1 , the first atmospheric pressure data PD1 , the first rainfall data RD1 , the second humidity data, and the second atmospheric pressure data as additional inputs. The expected water levels of the first area R1 and the second area R2 are re-predicted by applying a second neural network algorithm different from the first neural network algorithm (S80).

When the predicted water levels in the re-predicted first region R1 and second region R2 are predicted to be higher than or equal to the arbitrary water level, the server 10 sets the first RTU 27 and the second RTU 47 to first First humidity data (HD1), first internal water level data (ID1), and first atmospheric pressure data (PD1) measured at different times (T4, T5) with a second cycle (IV2) shorter than the cycle (IV1) , Transmission of the first rainfall data RD1, the second humidity data HD2, the second atmospheric pressure data PD2, and the second rainfall data RD2 is requested.

When the re-predicted expected water levels in the first area R1 and the second area R2 are predicted to be higher than the arbitrary water level, further input of more sensor data to increase the predictability of the second neural network algorithm. Request transmission of sensor data in a short period.

The first RTU 27 and the second RTU 47 provide the first humidity data HD1 measured at different times with a second cycle IV2 shorter than the first cycle IV1 according to the request of the server 10. , first internal water level data (ID1), first atmospheric pressure data (PD1), first rainfall data (RD1), second humidity data (HD2), second atmospheric pressure data (PD2), and second rainfall data (RD2) to the server 10.

Figure 4 is a diagram of sensor data transmitted to the server by the RTU shown in Figure 1; indicate 4(a) shows a graph of humidity data over time and a graph of rainfall data over time when the second hygrometer is abnormal. 4(b) shows a graph of humidity data over time and a graph of rainfall data over time when the second rainfall sensor is abnormal. 4(c) shows a graph of humidity data over time and a graph of rainfall data over time when the RTU is abnormal.

1, 2, and 4, the first RTU 27 transmits first humidity data measured from the first hygrometer 15 to the server 10 according to the request signal of the server 10 in a first cycle. Transmit (S10). The second RTU 47 transmits the second rainfall data measured by the second rainfall sensor 43 to the server 10 according to the request signal of the server 10 in the first cycle (S20).

The sensor device (for example, the first hygrometer 15 or the second rainfall sensor 43) connected to the first RTU 27 and the second RTU 47 is abnormal due to a defect, failure, or incorrect setting of the sensor. ) can be. The server 10 uses the respective sensor data received from the first RTU 27 and the second RTU 47 to detect the first RTU 27, the second RTU 47, or the first RTU 27 and the second RTU 47. It is possible to determine the abnormality of the sensor connected to .

The server 10 analyzes a correlation between the first humidity data HD1 and the second rainfall data RA2.

Referring to FIG. 4(a) , at a fourth time T4, the first humidity data HD1 is equal to or less than a first arbitrary value TH1, and the second rainfall data RD2 is a second arbitrary value TH2. ) or more, the server 10 receives the first rainfall data RD1 from the first RTU 27 and the first humidity data HD1 from the second RTU 47 .

The difference between the first rainfall data RD1 and the second rainfall data RD2 is equal to or less than a third arbitrary value TH3, and the difference between the first humidity data HD1 and the second humidity data HD2 is a fourth arbitrary value. When it is greater than the value TH4 of , it is determined whether the second humidity data HD2 is greater than or equal to the first arbitrary value TH1 and the second rainfall data RD2 is greater than or equal to the second arbitrary value TH2. A first hygrometer measuring the first humidity data HD1 when the humidity data HD2 is greater than or equal to the first arbitrary value TH1 and the second rainfall data RD2 is greater than or equal to the second arbitrary value TH2 ( 15) judges that there is something wrong. The first region R1 and the second region R2 are regions near the reservoir, and a difference between humidity data between the first region R1 and the second region R2 should not be large. In addition, in spite of low humidity, if the precipitation data is above a certain level, it should be regarded as an abnormality of the first hygrometer 15. It is determined that the first hygrometer 15 is defective, broken, or calibration error. When the server 10 determines that the first hygrometer 15 has an abnormality, a message is displayed on the display of the server 10.

Referring to FIG. 4(b), at the fourth time T4, the first humidity data HD1 is equal to or less than the first arbitrary value TH1, and the second rainfall data RD2 is a second arbitrary value TH2. ) or more, the server 10 receives the first rainfall data RD1 from the first RTU 27 and the first humidity data HD1 from the second RTU 47 .

The difference between the first humidity data HD1 and the second humidity data HD2 is equal to or less than a fourth arbitrary value TH4, and the difference between the first rainfall data RD1 and the second rainfall data RD2 is a third arbitrary value. When the value of TH3 is greater than the value of TH3, it is determined whether the first humidity data HD1 is less than or equal to the first arbitrary value TH1 and the first rainfall data RD1 is less than or equal to the second arbitrary value TH2. When the humidity data HD1 is less than or equal to the first arbitrary value TH1 and the first rainfall amount data RD1 is less than or equal to the second arbitrary value TH2, the second rainfall amount measured by the second rainfall data RD2 It is determined that the sensor 43 has an abnormality. If the second rainfall data is high even though the second humidity data is low, it is determined that the second rainfall sensor 43 is defective, broken, or corrected incorrectly. When the server 10 determines that the second rainfall sensor 43 has an error, a message is displayed on the display of the server 10 .

Referring to FIG. 4(c) , at the fourth time T4, the first humidity data HD1 is equal to or less than a first arbitrary value TH1, and the second rainfall data RD2 is a second arbitrary value TH2. ) or more, the server 10 receives the first rainfall data RD1 from the first RTU 27 and the first humidity data HD1 from the second RTU 47 .

The difference between the first humidity data HD1 and the second humidity data HD2 is greater than or equal to a fourth arbitrary value TH4, and the difference between the first rainfall data RD1 and the second rainfall data RD2 is a third arbitrary value. When the value of (TH3) or more, the server 10 transmits the real-time sunlight measurement amount of the first IP camera 13 from the first IP camera 13 and the real-time sunlight measurement amount of the second IP camera 33 from the second IP camera 33. Receive light measurand. The server 10 transmits real-time sunlight measurement to the first IP camera 13 and the second IP camera 33 in order to receive the real-time sunlight measurement amount of the first IP camera 13 and the real-time sunlight measurement amount of the second IP camera 33. Measurand transmission can be requested.

The first region (R1) and the second region (R2) are areas near the reservoir, and despite the high rainfall data in the second region (R2), the low rainfall data in the first region (R1) is the first RTU. (27), the sensor connected to the first RTU 47, the sensor connected to the first RTU 27, or the sensor connected to the second RTU 47 may be defective or defective. The first RTU 27 or the 47th RTU 47 may be in an abnormal state due to a defect in the device itself or noise during data transmission.

The real-time measured sunlight of the 1st IP camera 13 is the real-time measured amount of sunlight in the first area R1, and the real-time measured amount of sunlight of the 2nd IP camera 33 is the real-time measured amount of sunlight in the second area R2. It can mean the amount of sunlight measurement. If the real-time sunlight measurement amount of the first IP camera 13 or the real-time sunlight measurement amount of the second IP camera 33 is relatively low, the first area R1 or the second area R2 is cloudy, It may be a rainy environment.

The server 10 determines that the first area R1 and the second area R2 are formed when the real-time sunlight measurement amount of the first IP camera 13 and the real-time sunlight measurement amount of the second IP camera 33 are relatively high. It is judged to be in a clear state. Therefore, when the real-time sunlight measurement amount of the first IP camera 13 and the real-time sunlight measurement amount of the second IP camera 33 are relatively high, the second hygrometer 35 having high second humidity data HD2, It is determined that the second rainfall sensor 43 having high rainfall data RD2 or the second RTU 47 to which the second hygrometer 35 and the second rainfall sensor 43 are connected is abnormal. The server 10 displays a message determined that the second hygrometer 35, the second rainfall sensor 43, or the second RTU 47 has an error on the display of the server 10.

The server 10 determines that the first region R1 and the second region R2 are formed when the real-time sunlight measurement amount of the first IP camera 13 and the real-time sunlight measurement amount of the second IP camera 33 are relatively low. It is judged to be cloudy or rainy. When the real-time sunlight measurement amount of the first IP camera 13 and the real-time sunlight measurement amount of the second IP camera 33 are relatively low, the server 10 transmits a first image received from the first IP camera 13; The second image received from the second IP camera 33 is analyzed to determine whether the first area R1 and the second area R2 are cloudy or rainy.

When it is determined that the first region R1 and the second region R2 are cloudy, the server 10 determines that the second hygrometer 35, the second rainfall sensor 43, or the second RTU 47 is abnormal. The message to be determined is displayed on the display of the server 10.

When it is determined that the first region R1 and the second region R2 are in a rainy state, the server 10 determines that the first hygrometer 15, the first rainfall sensor 23, or the first RTU 27 has an abnormality. The message to be determined is displayed on the display of the server 10.

FIG. 5 shows a block diagram of any one of the RTUs shown in FIG. 1 .

Referring to FIGS. 1 and 5 , the RTU 200 represents the first RTU 27 or the second RTU 47 shown in FIG. 1 .

The RTU 200 includes a first board 210 and a second board 220 .

The first board 210 and the second board 220 are physically separated and implemented, and the first board 210 and the second board 220 may be coupled to each other.

The first board 210 performs an operation of communicating with the server 10 .

The first board 210 includes a first microprocessor 211 , a communication module 213 , and a first board communication interface 215 .

The first microprocessor 211 controls operations of the communication module 213 and the first board communication interface 215 . The first microprocessor 211 executes operations for transmitting sensor data received from the second board 220 .

Specifically, the first microprocessor 211 receives sensor data (eg, humidity data, water level data, atmospheric pressure data, or rainfall data) measured from the sensors 15, 17, 21, 23, 35, 37, 41, or 43. ) are collected. The first microprocessor 211 controls the communication module 213 to transmit the collected sensor data to the server 10 . The communication module 213 transmits the sensor data received from the second board 220 to the server 10 under the control of the first microprocessor 211 .

The communication module 213 is a module capable of supporting Ethernet or LTE.

The first board communication interface 215 is a communication interface for receiving sensor data from the second board 220 . The first microprocessor 211 may control the first board communication interface 215 to receive sensor data from the second board 220 . The first board communication interface 215 may be a Universal Serial Bus (USB) interface.

The second board 220 receives sensor data (eg, humidity data, water level data, atmospheric pressure data, or rainfall data) measured from the sensors 15, 17, 21, 23, 35, 37, 41, or 43, and , and transfers the received sensor data to the first board 210.

The second board 220 includes a second microprocessor 221, a second board communication interface 223, a first module communication interface 225, a second module communication interface 227, and a third communication module interface 229. ).

The second microprocessor 221 controls operations of the second board communication interface 223, the first module communication interface 225, the second module communication interface 227, and the third communication module interface 229. The second microprocessor 221 executes operations for receiving sensor data from the sensor module 240, 250 or 260.

The second board communication interface 223 is a communication interface for transmitting sensor data to the first board 210 . The second microinterface 221 may control the second board communication interface 223 to transmit sensor data to the first board 210 . The second board communication interface 223 may be a USB interface.

The second board 220 includes a slot 231 into which the sensor module 240, 250 or 260 can be inserted. Any one of the second board 220 and the plurality of sensor modules 240 , 250 , and 260 may be physically coupled through the slot 231 .

The reason for including the slot 231 on the second board 220 is that the types of sensors 15, 17, 21, 23, 35, 37, 41, or 43, communication interfaces, driving voltages, and driving currents vary. Because. If the components for supporting the various sensors (15, 17, 21, 23, 35, 37, 41, and 43) are implemented on one board, the complexity of the board configuration increases, and the size of the board also increases. It increases.

The first sensor module 240 is a sensor module for receiving an analog sensor signal from an analog sensor (eg, 15 or 17).

The first sensor module 240 includes a first connection interface 241 , an analog-to-digital converter (ADC) 243 , a first communication interface 245 , and a first contact terminal 247 .

An analog sensor (eg, 15 or 17) may be coupled through the first connection interface 241 .

The ADC 243 converts the analog signal received through the first connection interface 241 into a digital signal.

The first communication interface 245 may be I2C, SPI, or UART. The first contact terminal 247 is implemented according to I2C, SPI, or UART. For example, the first communication interface 245 may be I2C. Sensor data may be transmitted to the second board 220 through the first communication interface 245 .

The second sensor module 250 is a sensor module for receiving a sensor signal from a sensor (eg, 21 or 23) supporting the RS-485 interface.

The second sensor module 250 includes a second connection interface 251 , a second communication interface 255 , and a second contact terminal 257 .

A sensor (eg, 21 or 23) supporting the RS-485 interface may be coupled through the second connection interface 251 .

The second communication interface 255 may be I2C, SPI, or UART. The second contact terminal 257 is implemented according to I2C, SPI, or UART. For example, the second communication interface 255 may be SPI. Sensor data may be transmitted to the second board 220 through the second communication interface 255 .

The third sensor module 260 is a sensor module for receiving a digital sensor signal from a digital sensor (eg, 35 or 37).

The third sensor module 260 includes a third connection interface 261 , a third communication interface 265 , and a third contact terminal 267 .

A digital sensor (eg, 35 or 37) may be coupled through the third connection interface 261 .

The third communication interface 265 may be I2C, SPI, or UART. The third contact terminal 267 is implemented according to I2C, SPI, or UART. For example, the third communication interface 265 may be a UART. Sensor data may be transmitted to the second board 220 through the third communication interface 265 .

When the sensor module 240, 250, or 260 is inserted into the slot 231 implemented on the second board 220, the contact terminal 247, 257, or 267 of the sensor module 240, 250, or 260 is coupled with the contact terminals 233 implemented on both sides of the slot 231 .

The contact terminals 247, 257, or 267 of the sensor module 240, 250, or 260 have different shapes according to communication interfaces. The communication interface is determined according to the combination of the contact terminal 247 , 257 , or 267 of the sensor module 240 , 250 , or 260 and the contact terminal 233 of the second board 220 . For example, according to the combination of the contact terminal 247, 257, or 267 of the sensor module 240, 250, or 260 and the contact terminal 233 of the second board 220, the first module communication interface 225, the second A two-module communication interface 227 or a third module communication interface 229 may be determined.

6 shows an actual product picture of the RTU.

Referring to FIGS. 5 and 6 , the picture shown in FIG. 6 shows the second board 220 and sensor modules 240 , 250 , and 260 .

As such, the present invention is not limited to the described embodiments, and it is obvious to those skilled in the art that various modifications and variations can be made without departing from the spirit and scope of the present invention. Accordingly, it should be said that such modifications or variations fall within the scope of the claims of the present invention.

100: smart water management system; 10: server;
SG1: first sensor group; SG2: second sensor group;
11: first water gate; 31: second water gate;
13: a first IP camera; 33: a second IP camera;
15: first hygrometer; 35: second hygrometer;
17: first internal water level gauge; 37: second internal water level gauge;
19: 1st sluice hoist; 39: Second sluice hoist;
21: first barometer; 41: second barometer;
23: first rainfall sensor; 43: second rainfall sensor;
25: first external water level gauge; 45: second external water level gauge;
27: first RTU; 47: second RTU;

Claims (5)

delete delete server;
a first sensor group; and
Including a second sensor group,
The first sensor group,
a first IP camera for photographing the periphery of a first area where a first floodgate is located;
a first hygrometer for measuring humidity in the first region;
a first internal water level gauge measuring an internal water level of the first water gate;
a first sluice gate hoist that controls the first sluice gate;
a first rainfall sensor measuring the amount of rain in the first area;
a first external water level gauge for measuring an external water level of the first sluice gate when the first sluice gate is opened; and
A first RTU receiving first humidity data measured from the first hygrometer, first water level data measured from the first internal water level gauge, and first rainfall data measured from the first rainfall sensor,
The second sensor group,
a second IP camera that captures the periphery of a second area away from the first area by a predetermined distance;
a second hygrometer for measuring humidity in the second region;
a second rainfall sensor measuring the amount of rain in the second area; and
And a second RTU receiving second humidity data measured from the second hygrometer and second rainfall data measured from the second rainfall sensor,
The server,
Receiving the first humidity data from the first RTU in a first period and receiving the second rainfall data from the second RTU in a first period according to a request signal of the server;
Receiving a first image and a second image captured by the first IP camera and the second IP camera, respectively;
Predicting expected water levels in the first region and the second region by applying a first neural network algorithm to the first image, the second image, the first humidity data, and the second rainfall data as inputs;
The first RTU or the second RTU,
first board;
a second board coupled to the first board; and
Includes a sensor module that can be inserted into the second board,
The first board,
a first microprocessor executing operations for transmitting the sensor data received from the second board;
a communication module for transmitting the sensor data received from the second board under the control of the first microprocessor; and
a first board communication interface for receiving the sensor data from the second board;
The second board,
a second microprocessor executing operations for receiving sensor data from the sensor module;
a second board communication interface for transmitting the sensor data to the first board;
a plurality of module communication interfaces; and
It includes a slot in which a contact terminal is implemented,
Any one of the plurality of module communication interfaces,
It is determined according to the combination of the contact terminal of the sensor module and the contact terminal of the slot,
The server,
Analyzing the correlation between the first humidity data and the second rainfall data;
When the first humidity data is less than or equal to a first arbitrary value and the second rainfall data is greater than or equal to a second arbitrary value, the first rainfall data is received from the first RTU and the first humidity data is received from the second RTU. do,
When the difference between the first rainfall data and the second rainfall data is less than or equal to a third arbitrary value, and the difference between the first humidity data and the second humidity data is greater than or equal to a fourth arbitrary value, the second humidity data is It is determined whether the first arbitrary value is greater than or equal to and the second rainfall data is equal to or greater than the second arbitrary value, the second humidity data is equal to or greater than the first arbitrary value, and the second rainfall data is equal to or greater than the second arbitrary value. When it is more than a certain value, it is determined that the first hygrometer measuring the first humidity data has an abnormality,
When the difference between the first humidity data and the second humidity data is equal to or less than the fourth arbitrary value, and the difference between the first rainfall data and the second rainfall data is equal to or greater than the third arbitrary value, the first humidity It is determined whether the data is less than or equal to the first arbitrary value, and the first rainfall data is less than or equal to the second arbitrary value, the first humidity data is less than or equal to the first arbitrary value, and the first rainfall data is less than or equal to the second arbitrary value. A smart water management system that determines that the second rainfall sensor measuring the second rainfall data has an abnormality when it is less than or equal to a second arbitrary value. delete The method of claim 3, when, as a result of applying the first neural network algorithm, when the predicted water levels in the first area and the second area are predicted to be above a certain water level,
The first RTU transmits the first humidity data, the first water level data, the first atmospheric pressure data, and the first rainfall data to the server according to a request of the server;
The second RTU transmits the second humidity data, the second atmospheric pressure data, and the second rainfall data to the server according to the request of the server,
The server,
The first neural network uses the first humidity data, the first water level data, the first atmospheric pressure data, the first rainfall data, the second humidity data, the second atmospheric pressure data, and the second rainfall data as additional inputs. A smart water management system that re-predicts the expected water levels in the first area and the second area by applying a second neural network algorithm different from the algorithm.

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