WO2022055022A1

WO2022055022A1 - System for collecting and managing data of device by using iot

Info

Publication number: WO2022055022A1
Application number: PCT/KR2020/016224
Authority: WO
Inventors: 김대천
Original assignee: 주식회사 필드솔루션
Priority date: 2020-09-11
Filing date: 2020-11-18
Publication date: 2022-03-17

Abstract

The present invention provides a system for collecting and managing data of a device by using IoT, for integrity of data related to a state of the device. The present invention comprises: an equipment unit which includes a device and generates raw data related to a state of the device; a gateway unit for receiving the raw data from the equipment unit, processing the raw data to time-series data, and storing the time-series data as a file; and a server unit for receiving the file from the gateway unit.

Description

Device data collection and management system using IOT

The present invention relates to a data collection and management system of a device using IoT.

The Internet of Things (IoT) is also called the Internet of objects, and refers to a concept capable of performing mutual communication by connecting all communicable objects to a network. All objects that can be systematically recognized are classified as Things or Objects, which may include objects or people equipped with short-distance and long-distance communication functions and capable of producing and using data, such as sensors.

A system for managing devices using IoT in the field, such as plants and water treatment facilities, is required. For example, a water treatment system can be divided into a water purification system, a wastewater treatment system, and a water resource management system according to the raw water to be treated, and the conditions vary depending on the water treatment location and amount of treatment, so it is configured, installed, operated, and managed in various ways. .

In addition, the water treatment system is controlled by a programmed water treatment control system, and an abnormal condition is determined and notified to the manager or configured to be remotely monitored, so that it can be operated stably.

In this way, the control system receives data related to the state of the device and determines whether the device is operating. In this case, there is a problem in that the state data of the device is not transmitted to the control system due to a communication error, etc., and the control system cannot compensate for the data that has not been received.

The present invention provides a data collection and management system for a device using IoT for the integrity of data related to the device state. Thereby, the scope of the present invention is not limited.

One aspect of the present invention includes an equipment unit including a device and generating raw data related to the state of the device, receiving the raw data from the equipment unit, processing the raw data into time series data, and saving the time series data to a file It provides a data collection and management system of a device using IoT, including a gateway unit for storing the data, and a server unit for receiving the file from the gateway unit.

The equipment unit may further include a communication module communicating with the gateway unit.

The time series data may include a timestamp, a unique ID of the device, and the raw data.

The gateway unit may generate a file in which the time series data is recorded at specific time intervals.

The gateway unit may include a missing recovery database, and may transmit the file to the server, but may store a file that has not been transmitted when the transmission fails a predetermined number of times in the missing recovery database.

On the other hand, another aspect of the present invention is a data collection unit for collecting state information about the water treatment device, receiving the state information from the data collection unit, calculating the number of states from the state information, and calculating the number of states as the state It provides a data collection and management system for a device using IoT, including a control unit that matches the information collected time and the water treatment device and determines whether the water treatment device is abnormal by comparing the number of states with a preset error range.

The number of states may be calculated by applying the state information to a Reynolds number calculation formula.

The preset error range may be calculated as a sample error from a normal driving state among the collected state information.

It may further include an edge computing device having the control unit.

Other aspects, features and advantages other than those described above will become apparent from the following detailed description, claims and drawings for carrying out the invention.

The data collection and management system of a device using IoT according to an embodiment of the present invention compensates for the deficiency of time series data, so that the state of the device can be more accurately identified.

The data collection and management system of a device using IoT according to an embodiment of the present invention can improve reliability by determining errors and deficits in time series data and supplementing the data.

The data collection and management system of a device using IoT according to an embodiment of the present invention can confirm whether there is an abnormality by checking the tendency of the Reynolds number for abnormalities that appear in a progressive form, such as equipment aging and equipment performance degradation.

In the data collection and management system of a device using IoT according to an embodiment of the present invention, it can be determined through the previously secured Reynolds number range for abnormalities such as instantaneous power cut-off and malfunction of facility operators there is.

The data collection and management system of the device using the IoT according to an embodiment of the present invention can prevent the communication amount and computational load by separately storing and calculating distributed data in addition to the existing water treatment facility control facility.

Of course, the scope of the present invention is not limited by these effects.

1 is a block diagram schematically illustrating a data collection and management system of a device using IoT according to an embodiment of the present invention.

2 is a diagram schematically illustrating a file of a data collection and management system of a device using IoT according to an embodiment of the present invention.

3 is a block diagram schematically illustrating a data collection and management system of a device using IoT according to another embodiment of the present invention.

4 is a diagram schematically illustrating a data collection and management system of a device using IoT according to another embodiment of the present invention.

5 is a block diagram schematically illustrating a data collection and management system of a device using IoT according to another embodiment of the present invention.

6 is a flowchart schematically illustrating a data collection and management system of a device using IoT according to another embodiment of the present invention.

Hereinafter, various embodiments of the present disclosure are described in connection with the accompanying drawings. Various embodiments of the present disclosure are capable of various changes and may have various embodiments, specific embodiments are illustrated in the drawings and the related detailed description is described. However, this is not intended to limit the various embodiments of the present disclosure to specific embodiments, and it should be understood to include all modifications and/or equivalents or substitutes included in the spirit and scope of the various embodiments of the present disclosure. In connection with the description of the drawings, like reference numerals have been used for like elements.

Expressions such as “comprises” or “may include” that may be used in various embodiments of the present disclosure indicate the existence of a disclosed function, operation, or component, and may include one or more additional functions, operations, or Components, etc. are not limited. Also, in various embodiments of the present disclosure, terms such as “comprise” or “have” are intended to designate that a feature, number, step, action, component, part, or combination thereof described in the specification is present, It should be understood that this does not preclude the possibility of addition or existence of one or more other features or numbers, steps, operations, components, parts, or combinations thereof.

In various embodiments of the present disclosure, expressions such as “or” include any and all combinations of words listed together. For example, "A or B" may include A, may include B, or may include both A and B.

Expressions such as “first”, “second”, “first”, or “second” used in various embodiments of the present disclosure may modify various components of various embodiments, but do not limit the components. does not For example, the above expressions do not limit the order and/or importance of corresponding components. The above expressions may be used to distinguish one component from another. For example, both the first user device and the second user device are user devices, and represent different user devices. For example, without departing from the scope of the various embodiments of the present disclosure, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

When a component is referred to as being “connected” or “connected” to another component, the component may be directly connected to or connected to the other component, but the component and It should be understood that other new components may exist between the other components. On the other hand, when an element is referred to as being “directly connected” or “directly connected” to another element, it will be understood that no new element exists between the element and the other element. should be able to

Terms used in various embodiments of the present disclosure are only used to describe one specific embodiment, and are not intended to limit the various embodiments of the present disclosure. The singular expression includes the plural expression unless the context clearly dictates otherwise.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present disclosure pertain.

Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in various embodiments of the present disclosure, ideal or excessively formal terms not interpreted as meaning

Hereinafter, a system may be at least any one, some of, or both of a computer program for executing a configuration of devices, a method of operating these devices, a computer program executing the method of operating the devices, and a medium in which the computer program is recorded.

1 is a block diagram schematically illustrating a data collection and management system of a device using IoT according to an embodiment of the present invention. The data collection and management system of a device using IoT according to the present embodiment may include an equipment unit 10 , a gateway unit 20 , and a server unit 30 . The equipment unit 10 is installed at the site 1 , and the server unit 30 is installed at the situation room 3 . In addition, the gateway unit 20 may be installed between the control room 3 or the control room 3 and the site 1 .

Here, the equipment part 10 includes a device 11 . The device 11 is a component installed and operated at the site 1 , and may be, for example, a water valve, a pump, a pipe, an air compressor, a heat exchanger, and the like. More specifically, the device 11 may be a water valve, a pump, an air compressor, a heat exchanger, or the like. In addition, the device 11 may be a water supply facility installed in a water purification plant and a sewage treatment plant. Of course, the device 11 is not limited thereto, and the device 11 may be a facility installed in a plant or the like and consuming energy.

Additionally, the equipment unit 10 may include a sensor 12 for detecting the state of the device 11 . For example, the sensor 12 may be a pressure gauge, a thermometer, a flow meter, or the like. Of course, the sensor 12 is not limited thereto. The sensor 12 is attached to a pipe, which is an example of the device 11 , and measures the pressure, temperature, and flow rate of the pipe.

The sensor 12 may communicate with the gateway unit 20 to be described later by having a communication means by itself. For example, the sensor 12 is provided with communication means for performing wired digital communication such as RS-232/422/485, panel port, UART, USB port, or Wifi, LoRA, 3G, 4G, LTE-m, LTE, etc. Wireless communication means may be provided. Alternatively, the sensor 12 unit may include a wired/wireless integrated communication means.

Meanwhile, the equipment unit 10 may further include a communication module 13 when the device 11 and the sensor 12 do not have their own communication means. Here, the communication module 13 may be a programmable logic controller (PLC).

The above-described equipment unit 10 may use the sensor 12 to generate raw data related to the state of the device 11 . More specifically, the above-described equipment unit 10 measures the state of the device 11 in a specific time unit. For example, if the device 11 is a pump, the sensor 12 may measure energy consumption, inlet and outlet flow rates, pressure, and the like to generate raw data.

Meanwhile, the gateway unit 20 may receive raw data from the equipment unit 10 and process the raw data into time series data. For example, the gateway unit 20 may generate time series data as shown in the table below by matching a timestamp and a device unique ID to the received raw data. That is, the gateway unit 20 may generate time series data including a timestamp, a device ID, and the sensing data Value00.

TimestampTimestamp	Device IDDevice ID	Value00Value00
2020-09-07 13:30:002020-09-07 13:30:00	10011001	2323
2020-09-07 13:30:012020-09-07 13:30:01	10011001	2222
2020-09-07 13:30:022020-09-07 13:30:02	10011001	2323
......	......	......

In more detail, the gateway unit 20 receives raw data such as energy consumption from the equipment unit 10 , and combines a specific time unit with a unique ID for each device 11 to generate time series data. The order of time series data is arranged in the order of timestamp, device unique ID, and raw data (sensing value) as shown in the table above.

Here, Device ID is a unique ID for each device 11. For example, the device that is the first pump among several equipment installed in the water treatment plant is given a Device ID as 1001, and the second pump is given a Device ID as 1002, The third pump is given a unique ID of 1003.

In addition, although not described in the table above, the sensor 12 may be assigned a unique ID for each sensor 12 to one device 11 . For example, the first sensor of the first device 11 may be assigned as s001, the second sensor as s002, the third sensor as s003, and the like.

And, different from the table above, the time series data may be composed of a timestamp, a device unique ID, a sensor unique ID, and raw data.

The gateway unit 20 may store time series data. That is, the gateway unit 20 may include a database 240 for storing time series data.

In this case, the gateway unit 20 may generate a stored file by collecting time series data at specific time intervals. For example, as shown in FIG. 2 , the gateway unit 20 may generate one file by collecting time series data at 10-minute intervals. That is, the gateway unit 20 may generate one file every 10 minutes.

The server unit 30 may receive a file in which time series data is stored from the gateway unit 20 . In addition, the server unit 30 may read the time series data stored in the file and store it in the database or the SQL server 32 .

On the other hand, the gateway unit 20 may be unstable in communication with the server unit 30 due to a physical error such as disconnection or communication abnormality. In this case, when the transmission fails a predetermined number of times, the gateway unit 20 may store the file that has not been transmitted in the missing recovery database. The database 24 of the gateway unit 20 may include a missing recovery database.

For example, if the gateway unit 20 fails to transmit the file twice or more for any reason, such as communication error, it stores the failed file in the missing recovery database. Then, the gateway unit 20 attempts to transmit the stored transmission failure file to the server unit 30 again after a predetermined time elapses.

The server unit 30 receives the transmission failure file, records the time series data in the database 31 or the SQL server 32 of the server unit 30, and supplements it. In this case, the server unit 30 may store the transmission failure file as it is in the database 31 or the SQL server 32 of the server unit 30 . Alternatively, the server unit 30 may compensate only the missing time series data by comparing the transmission killing file with the time series data stored in the database 31 or the SQL server 32 of the server unit 30 .

On the other hand, referring back to FIG. 1 , the gateway unit 20 of the equipment and equipment abnormality inspection system according to another embodiment of the present invention includes a master gateway 21 and a slave gateway 22 . Through the duplication of the gateway, it can be operated stably.

The equipment unit 10 may transmit raw data to the slave gateway 22 in preparation for a failure state of the master gateway 21 . In addition, the gateway unit 20 may further include a virtual gateway 23 to configure a triple gateway. Here, the virtual gateway 23 may be a cloud gateway.

Meanwhile, a data collection and management system of a device using IoT according to another embodiment of the present invention will be schematically described. In describing the data collection and management system of a device using the IoT according to the present embodiment, a description that overlaps with the above-described embodiment will be omitted.

According to the present embodiment, the gateway unit 20 may transmit a file generated in units of a predetermined time to the server unit 30 through a file transfer protocol. In this case, the file transfer protocol may be, for example, FTP or SFTP. In addition, the predetermined time unit may be a unit of 10 minutes.

The server unit 30 reads the time series data stored in the file and compares it with data stored in the database 310 or the SQL server 320 of the server unit 30 . And as a result of the comparison, if unrecorded time series data is found, the server unit 30 adds and stores the unrecorded time series data to the database 31 or SQL server 32 of the server unit 30 .

3 is a block diagram schematically illustrating a data collection and management system of a device using IoT according to another embodiment of the present invention. In this embodiment, the data collection and management system of the device using the IoT may be a state detection system of the water treatment device. And the device may be a water treatment device 110 .

The data collection and management system of a device using IoT according to the present embodiment includes a data collection unit 211 , a control unit 212 , and a server unit. Additionally, the data collection and management system of the device using IoT may further include a node unit 140 , a gateway 220 , a sensor 120 , and the like in order to monitor the state of the water treatment device 110 .

If the water treatment device 110 is described before the detailed description, the water treatment device 110 is a device through which a fluid flows, and may be, for example, a pump, a valve, an air compressor, a heat exchanger, and the like. These water treatment devices 110 are installed at the site 100 .

The sensor 120 may be a pressure gauge, a thermometer, a flow meter, or the like. Of course, the sensor 120 is not limited thereto. The sensor 120 is attached to the water treatment device 110 (eg, a pump) or a pipe to measure the pressure, temperature, and flow rate of a fluid flowing through the water treatment device 110 or the pipe.

The node unit 140 receives time series data from at least one of the device and the sensor 120 . The node unit 140 refers to a connection point and is programmed to recognize and process or forward data transmission. Also, the node unit 140 refers to an activated electronic device that attaches to a network, creates information to be transmitted, and exchanges it over a communication channel.

The water treatment device 110 and the sensor 120 transmit status information to the node unit 140 . For example, when the device is a pump, energy consumption, fluid temperature, speed, etc. are transmitted to the node unit 140 . Alternatively, when the water treatment device 110 is a valve or a pipe, the speed and temperature of the fluid are transmitted to the node unit 140 .

In this case, the water treatment device 110 and the sensor 120 may transmit the state information to the node unit 140 through analog or digital communication. Meanwhile, when the device cannot communicate by itself, the state information may be transmitted to the node unit 140 through the PLC 130 (PROGRAMMERBLE LOGIC CONTROLLER).

The node unit 140 may match the received state information with the reception time, and may store or transmit it. Since the capacity of the node unit 140 is limited, it is possible to mainly store the latest time series data. In this case, serial numbers may be assigned by separate numbering in chronological order.

Such a node unit 140 may be formed in plurality. The node unit 140 manages the water treatment apparatus 110 for each group, and as the number of equipment increases, the number of the node units 140 may also increase.

The node unit 140 may transmit the state information of the water treatment device 110 to the data collection unit 211 through the gateway 220 .

The data collection unit 211 collects state information about the water treatment device 110 . In more detail, the data collection unit 211 may collect status information of the water treatment device 110 in a manner that receives status information from the water treatment device 110 as described above. Here, the state information mainly collected may be the temperature, speed, etc. of the water treatment device 110 or the fluid.

Also, the data collection unit 211 may collect state information regarding the water treatment apparatus 110 from a design drawing or a specification for the water treatment apparatus 110 . For example, the data collection unit 211 may collect and store the specifications of the pump, the specifications of the valves (diameter, etc.), and the specifications (diameter, etc.) of the piping from design drawings, instructions, or spec sheets. In this case, the data collection unit 211 may match and store the collection time or generation time of the state information, the ID of the water treatment equipment, and the state information. Since there is no significant difference between the collection time and the generation time, they will be described as equivalent below.

Also, the data collection unit 211 may include state information related to the fluid. For example, it may include state information related to the type of fluid, viscosity, density, and the like.

The data collection unit 211 may be a component of the server 210 or a workstation located in the field office or the situation room 200 .

The control unit 212 receives the state information from the data collection unit 211, calculates the number of states from the state information, calculates the number of states from the state information, and sets the number of states to the time the state information was collected and the water treatment device ( 110) and stored, and the number of states is compared with a preset error range to determine whether the water treatment device 110 is abnormal. In the present embodiment, the control unit 212 may be a component of the server 210 or a workstation located in the field 100, office, or situation room 200 .

In more detail, the control unit 212 collects state information of the water treatment device 110 from the data collection unit 211 . For example, the state information of the water treatment device 110 includes information collected from the water treatment device 110 such as the temperature and speed of the fluid, information about the fluid and information collected from design drawings or specifications, such as the diameter of the pipe includes

Then, the control unit 212 calculates a state from the state information. Specifically, the number of states ( _Re ) is calculated by applying at least a portion of the state information to the Reynolds number calculation formula. Of course, the number of states is not limited thereto.

The water treatment process uses a pump or a position difference to transfer a fluid (eg, water) through a pipe. At this time, flows such as laminar flow, transitional process, and turbulent flow are classified according to the degree of flow rate, and this is affected by the intrinsic properties of the fluid, such as water temperature and viscosity. In order to classify such a flow, the Reynolds number can be applied as a dimensionless number. That is, the Reynolds number can be calculated using the following equation.

- V = velocity of the fluid, μ = coefficient of viscosity, L = length of plate D = diameter of round tube

- Kinematic Viscosity Coefficient (υ): Coefficient of the property that the viscosity coefficient of gas changes with temperature, the ratio of the viscosity coefficient and density, that is, the viscosity coefficient μ / density ρ

Taking the pipe 111 that is the water treatment device 110 as an example, the control unit 212 receives status information on a specific point of the pipe 111 from the data collection unit 211 . In this case, the control unit 212 may receive only specific information, and may receive various pieces of information and use a necessary part among them.

The state information about the pipe 111 at the measurement point may include the velocity of the fluid, the diameter of the circular pipe, and the length of the plate. In this case, the state information related to the fluid may be possessed by the controller 212 differently from the above. For example, the controller 212 may include state information related to the fluid, such as the type of fluid, viscosity, density, dynamic viscosity coefficient, and viscosity coefficient.

In addition, the controller 212 may calculate the number of states ( _Re ) by applying the collected state information to the Reynolds number calculation formula. Alternatively, the controller 212 may calculate the number of states _Re using the state information and pre-stored information.

And the control unit 212 matches the calculated number of states ( _Re ) with the collected time and the collected water treatment device (110). For example, the control unit 212 may match the collected time _datatime , the water treatment device 110 (device), and the number of states (Re ) as time series data as time series data to match and additionally store as shown in the table below.

datetimedatetime	DeviceDevice	ReRe
2020-08-25 12:00:002020-08-25 12:00:00	pipe-1000pipe-1000	25002500
2020-08-25 12:00:102020-08-25 12:00:10	pipe-1000pipe-1000	45004500
2020-08-25 12:00:202020-08-25 12:00:20	pipe-1000pipe-1000	35003500

Daily, weekly, monthly, and yearly constant distribution analysis is performed on the time series data, and it can be confirmed that the time series data has a constant distribution for each time period.

In addition, the control unit 212 may determine whether the water treatment apparatus 110 is abnormal by comparing it with the preset error range. For example, the normal range of the number of states ( _Re ) of the pipe 111 may be greater than or equal to 2000, and may be determined to be less than or equal to 4000. And the control unit 212 determines whether the number of states ( _Re ) is out of this range. As shown in the table above, when the number of states ( _Re ) reaches 4500, the control unit 212 may determine that the water treatment device 110 is abnormal, and may send an alarm to the manager.

In addition, the manager may take measures such as checking the pipe 111 by seeing this.

Meanwhile, the preset error range may be calculated as a sample error from state information during normal operation. For example, a preset error range may be calculated by calculating a sampling error using pilot state information (data) during normal operation. Alternatively, a preset error range may be calculated by extracting a normal driving state from the collected state information and calculating a sample error.

4 is a block diagram schematically illustrating a data collection and management system of a device using IoT according to another embodiment of the present invention. In the above-described embodiment, the data collection and management system of the device using the IoT has been described with one water treatment device 110 as an example. Hereinafter, it will be described that the data collection and management system of the device using the IoT according to another embodiment determines whether there is an abnormality with respect to the plurality of water treatment devices 110 . In describing another embodiment, a description overlapping with the above-described embodiment will be omitted.

Referring to FIG. 4 , the water treatment facility includes a plurality of water treatment devices 110 . For example, it includes various equipment such as a pipe 111 , a valve 112 , and a pump 113 . Hereinafter, the conditions in which the pipe 111, the valve 112, and the pump 113 are arranged will be described.

The data collection unit 211 collects state information of each water treatment device 110 . For example, the data collection unit 211 collects state information of the pipe 111 , state information of the valve 112 , and state information of the pump 113 . In this case, state information may be collected through at least one of the aforementioned sensor 120 , the node unit 140 , and the PLC 130 .

In addition, the data collection unit 211 may collect and store specifications (eg, diameter, energy consumption, etc.) of the pipe 111 , the valve 112 , and the pump 113 through design drawings, spec sheets, and the like.

The control unit 212 receives status information of each water treatment device 110 from the data collection unit 211 . For example, the control unit 212 receives the state information of the pipe 111 , the state information of the valve 112 , and the state information of the pump 113 .

In more detail, the controller 212 may receive the diameter of the pipe 111 and the velocity of the fluid passing through the pipe 111 . In addition, the second unit 212 receives the specifications of the valve 112 , the diameters of the inlet and outlet of the valve 112 , the velocity of the fluid input to the valve 112 , and the velocity of the fluid flowing out to the valve 111 . In addition, the control unit 212 receives the specification of the pump 113 , the diameters of the inlet and the outlet of the pump 113 , the velocity of the fluid input to the pump 113 , and the velocity of the fluid flowing out from the pump 113 .

And the control unit 212 calculates the number of states ( _Re ) for each water treatment device 110 using the above-described Reynolds number calculation formula. For example, the control unit 212 calculates the state number Re _e of the pipe 111 at a specific point, calculates the state number Re _e at the inlet and outlet of the valve 112 , and the pump 113 ), calculate the number of states ( _Re ) at the inlet and outlet.

Then, the control unit 212 matches the calculated number of states ( _Re ) to the collected time ( _datatime ) and the number of states (Re ) to the water treatment device 110 (device) as shown in the table below. Also, the controller 212 may table and store the matched result as time series data.

datetimedatetime	DeviceDevice	ReRe
2020-08-25 12:00:002020-08-25 12:00:00	pipe-1000pipe-1000	25002500
2020-08-25 12:00:102020-08-25 12:00:10	pump-1001-inpump-1001-in	45004500
2020-08-25 12:00:102020-08-25 12:00:10	pump-1001-outpump-1001-out	35003500
2020-08-25 12:00:202020-08-25 12:00:20	valve-1002-invalve-1002-in	37003700
2020-08-25 12:00:202020-08-25 12:00:20	valve-1002-outvalve-1002-out	38003800

In addition, the control unit 212 may determine whether the water treatment device 110 is abnormal by comparing it with the preset error range. In addition, the manager may take measures such as checking the pipe 111 , the valve 112 , or the pump 113 by looking at this.

When the calculation of the number of states ( _Re ) is executed in the server 210 or workstation provided in advance in order to manage and control the water treatment device 110 in the control room 200, a load may be applied to the server 210 or the workstation. can To prevent this, the state detection system of the water treatment device 110 according to the present embodiment may include the edge computing device 230 including the control unit 231 .

The control unit 231 performs an operation after acquiring data through the data collection unit 211 to calculate the number of states ( _Re ) in real time. Then, the control unit 231 transmits the calculated number of states to the manager or user to the monitor or transmits an alarm signal. In this case, the edge computing device 230 may transmit information on whether there is an abnormality to the server 210 . Alternatively, the edge computing device 230 may transmit information on whether there is an abnormality to a manager or a user through a separately provided port through a monitor or speaker.

Due to this, the manager or the user can know the current state of the water treatment equipment 110 in real time.

Also, as described above, the control unit 212 may determine whether the number of states is within a preset error range, and may provide a visual and auditory notification to an administrator or a user according to the result.

Edge computing device 230 including such a control unit 212 is RS-232/485 port, RJ45 LAN port, image output port (VGA (RGB), HDMI, DVI, SDI, etc.) to implement the above-mentioned functions. and may have a wired/wireless module (which may have wifi, LTE, lora, 5G, Bluetooth, and LAN ports) for data transmission and reception. And the edge computing device 230 performs the function of the control unit 212 of the server 210 according to the above-described embodiment through the control unit 231 including an arithmetic unit composed of a CPU, RAM, and storage devices (SSD, HDD). carry out

The edge computing device 230 may store time series data therein, and may transmit it to the server 210 . Also, the edge computing device 230 may provide time series data in the form of an API.

On the other hand, the server 210 including the data collection unit 211 is connected to the aforementioned water treatment device 110 , the node unit, the PLC 130 , the gateway 220 , and the like, and the edge computing device including the control unit 231 ( 230) is connected. In this case, the server 210 includes a separate processor 214 for control.

Therefore, the state detection system of the water treatment device 110 according to the present embodiment can prevent the communication amount and the calculation load by separately performing distributed data storage and calculation in addition to the existing water treatment facility control facility.

6 is a flowchart schematically illustrating a data collection and management system of a device using IoT according to another embodiment of the present invention. A description that overlaps with the above description will be omitted.

A state information collection step (S100) of collecting state information about the water treatment device is performed. This step may be performed by the above-described data collection unit 211 . In more detail, the state information of the water treatment apparatus 110 may be collected in a manner in which the state information is transmitted from the water treatment apparatus 110 . Here, the state information mainly collected may be the temperature, speed, etc. of the water treatment device 110 or the fluid.

In addition, state information regarding the water treatment apparatus 110 may be collected from a design drawing or a specification for the water treatment apparatus 110 . For example, the specification of the pump, the specification of the valve (diameter, etc.), and the specification of the pipe (diameter, etc.) may be collected and stored from design drawings, manuals or spec sheets. In this case, it is possible to match and store the collection time or creation time of the state information, the ID of the water treatment equipment, and the state information. Since there is no significant difference between the collection time and the generation time, they will be described as equivalent below.

In addition, the collected state information may include information related to the fluid. For example, the state information may include information related to the type, viscosity, density, etc. of the fluid.

A state number calculation step (S200) of calculating the number of states from the state information is performed.

The number of states ( _Re ) is calculated by applying at least some of the state information to a Reynolds number calculation formula. Of course, the number of states is not limited thereto.

The water treatment process uses a pump or a position difference to transfer a fluid (eg, water) through a pipe. At this time, flows such as laminar flow, transitional process, and turbulent flow are classified according to the degree of flow rate, and this is affected by the intrinsic properties of the fluid, such as water temperature and viscosity. To classify these flows, the Reynolds number can be applied as a dimensionless number.

Taking the pipe 111 that is the water treatment device 110 as an example, state information on a specific point of the pipe 111 is received. In this case, the control unit 212 may receive only specific information, and may receive various pieces of information and use a necessary part among them.

The state information about the pipe 111 at the measurement point may include the velocity of the fluid, the diameter of the circular pipe, and the length of the plate. The number of states ( _Re ) can be calculated by applying the collected state information to the Reynolds number calculation formula. Alternatively, the number of states ( _Re ) may be calculated using the state information and pre-stored information.

A matching step (S300) of matching the number of states with the time at which the state information is collected may be performed. That is, the calculated number of states ( _Re ) is matched with the collected time and the collected water treatment device (110). For example, as shown in Table 1 above, the collected time ( _datatime ), the water treatment device 110 (device), and the number of states (Re ) are tabled as time series data for matching, and may be additionally stored.

An abnormality determination step (S400) of determining whether the water treatment apparatus is abnormal by comparing the number of states with a preset error range may be performed. For example, the normal range of the number of states ( _Re ) of the pipe 111 may be greater than or equal to 2000, and may be determined to be less than or equal to 4000.

It is determined whether the number of states ( _Re ) is out of this range. If the state number ( _Re ) becomes 4500, it is determined that the water treatment device 110 is abnormal, and may send an alarm to the manager.

As such, the present invention has been described with reference to the embodiments shown in the drawings, which are merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. . Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

Claims

A device comprising: an equipment unit configured to generate raw data related to a state of the device;

a gateway unit for receiving the raw data from the equipment unit, processing the raw data into time series data, and storing the time series data as a file; and

a server unit receiving the file from the gateway unit;

Including, data collection and management system of devices using IoT.
The method of claim 1,

The device unit data collection and management system using IoT, further comprising a communication module for communicating with the gateway unit.
According to claim 1,

The time series data includes a timestamp, a unique ID of the device, and the raw data, a data collection and management system for a device using IoT.
According to claim 1,

The data collection and management system of a device using IoT, wherein the gateway unit generates a file in which the time series data is recorded at a specific time interval.
The method of claim 1,

The gateway unit includes a missing recovery database, and transmits the file to the server unit, but stores a file that is not transmitted in the missing recovery database when transmission fails a predetermined number of times.
a data collection unit for collecting status information about the water treatment device; and

Receive the state information from the data collection unit, calculate the number of states from the state information, match the number of states with the time the state information was collected and the water treatment device, and compare the number of states with a preset error range a control unit for determining whether the water treatment device is abnormal;

Including, data collection and management system of devices using IoT.
7. The method of claim 6,

The number of states is calculated by applying the state information to a Reynolds number calculation formula, a data collection and management system for a device using IoT.
7. The method of claim 6,

The preset error range is calculated as a sample error from the normal driving state among the collected state information. Device data collection and management system using IoT.
7. The method of claim 6,

The data collection and management system of a device using IoT, further comprising an edge computing device having the control unit.