KR20220067913A - System and method for automatically managing small scale water supply plant, and recording medium having computer readable program for executing the method - Google Patents

Abstract

A system for untactly, remotely, and automatically managing a small-scale water supply plant, which is installed in response to the water purification facility of a water supply plant, comprises a data collection unit, a monitoring unit, a diagnosis unit, a control unit, a storage unit, and a communication unit. The data collection unit collects process data from the water purification facility. The monitoring unit calculates monitoring information of the water purification facility by using the process data. The diagnosis unit calculates diagnostic information of the water purification facility by using the process data. The control unit controls the water level of a tank in which water produced by the water purification facility is stored, according to the diagnostic information. The storage unit stores the monitoring information and the diagnostic information. The communication unit transmits the monitoring information and the diagnostic information to a user terminal. Therefore, the system enables an operation status and water supply information of the water purification facility to be integrally managed within the small-scale water supply plant itself without a separate management building.

Description

A non-face-to-face remote automatic management system, method, and recording medium recording a computer-readable program for executing the method for small water facilities including village water supply {SYSTEM AND METHOD FOR AUTOMATICALLY MANAGING SMALL SCALE WATER SUPPLY PLANT, AND RECORDING MEDIUM HAVING COMPUTER READABLE PROGRAM FOR EXECUTING THE METHOD}

The present invention relates to a facility management system, and more particularly, to an unmanned system and method for automatically performing monitoring, diagnosis, control, and maintenance of small-scale water facilities among waterworks from a remote location.

In general, small-scale waterworks refers to dedicated waterworks used in facilities with 100 or more and less than 5,000 people, such as dormitories, or small-scale water supply facilities with less than 100 people or less than 20m ³ of daily supply.

In most of these small-scale water supply facilities, raw water is stored and sterilized in a water tank without water purification facilities such as filtration, and then supplied, greatly threatening the health of residents due to the occurrence of water-borne diseases.

In addition, due to the lack of manpower and budget of the local government, the water supply facilities are operated by the village itself, but efficient operation is difficult due to the lack of water treatment knowledge and driving skills and the burden of expensive operation and management costs.

Also, in most cases, since non-specialists such as village heads directly inject solid calcium hypochlorite (chlorocalki, Calcium Hypochlorite) to perform water quality management, under-/over-injection of drugs occurs due to negligence in management.

In addition, even in facilities where automatic chlorine injectors, etc. are partially installed, the flow rate proportional method, which is difficult to inject an accurate amount of medicine, is mainly used, so user management is required. .

In order to solve such a problem, a method of simply monitoring the entire small water supply facility from a remote location by installing a sensor in a water supply facility and applying an integrated server and communication technology is being attempted.

However, even in this case, a separate management building such as a control room is required to remotely monitor the status information of the water system, and in case of an emergency, a facility person in charge had to visit the site and stop the pump. In addition, in the case of the maintenance log, the person in charge of the facility had to write it himself or a person in charge of the local government had to visit the site to transmit the data.

In addition, in the reality of operation and management of water facilities, in the case of an infectious disease such as Corona 19, the situation such as quarantine measures by the water supply facility operator or local government person in charge of the local government may lead to a situation that can threaten the health of residents even more. Therefore, it is necessary to build an infrastructure for non-face-to-face remote operation that can be trusted in terms of responding to infectious diseases.

KR 101963124 B1

The present invention has been devised to solve the above-mentioned problems of the prior art, and the operation status of the desalination device and disinfection device installed in the small-scale water facility, the operation status of the surrounding facilities, and the water supply information are stored in the small-scale water facility itself without a separate management building. It aims to provide a system that can be integrated and managed within.

In addition, an object of the present invention is to provide a system capable of controlling a pump, etc. using a smart phone even at a remote location, and allowing a quick response in case of a problem.

In order to achieve the above object, the non-face-to-face remote automatic management system for water facilities according to the present invention is a non-face-to-face remote automatic management system for water facilities installed in response to water purification facilities of water facilities, and includes a data collection unit, a monitoring unit, a diagnosis unit; It includes a control unit, a storage unit, and a communication unit.

The data collection unit collects process data from the water purification facility, the monitoring unit calculates monitoring information of the water purification facility using the process data, the diagnostic unit calculates diagnostic information of the water purification facility using the process data, and the control unit provides diagnostic information Accordingly, the water level of the tank in which the produced water from the water purification facility is stored is controlled, the storage unit stores monitoring information and diagnostic information, and the communication unit transmits the monitoring information and diagnostic information to the user terminal.

According to this configuration, by automatically monitoring and diagnosing water facilities using process data from water purification facilities, the operation status of water purification facilities installed in small water facilities and water supply information can be stored in small water facilities without a separate management building. integrated management within the

In addition, by automatically transmitting the monitoring or diagnosis result to the user terminal, the administrator can quickly respond to the occurrence of a problem in the water supply facility using a smart phone even in a remote location.

In addition, by implementing a system for managing water facilities as a single device, it can be easily employed in existing water facilities.

At this time, the data collection unit further collects the disinfectant concentration, water level and customer displacement information, and power usage information of the water facility, and the control unit may include a displacement prediction unit for predicting the customer displacement of the water service facility by using the customer displacement information. According to such a configuration, more effective management of water facilities is possible by predicting the amount of water discharged by consumers and preemptively adjusting the water level in the tank.

In addition, the data collection unit may further collect weather information of an area in which the water supply facility is located. According to such a configuration, it is possible to more effectively manage the water supply facilities using local weather information as well as the amount of drainage information of consumers.

In addition, the control unit may further include a control mode setting unit for setting a water level control mode of the tank according to the information collected by the data collection unit. According to this configuration, even when there is no user input, it is possible to supply water in a form suitable for a change in the environment in the area where the water supply facility is located.

In this case, the control mode setting unit may set the water level control mode using artificial intelligence. According to such a configuration, it is possible to supply water in an optimal form by itself in response to various environmental changes using the accumulated data.

In addition, the data collection unit further collects contract power peak time information, and in the water level control mode, the tank level corresponding to the optimized power rate calculated using the contract power peak time information and the amount of power required to introduce production water into the tank. It may include a power rate optimization mode to set. According to this configuration, by distributing the required amount of electricity by reflecting the peak time, it is possible to operate the water facility at a low electricity rate.

In addition, the data collection unit may further collect disaster information, and the water level control mode may include a stable water level mode for setting the tank water level corresponding to the disaster information. According to this configuration, in case of a disaster, it is possible to secure a stable water supply in preference to other conditions.

In addition, the data collection unit further collects disinfection facility information of the production water, and the water level control mode may include a safe water level mode for setting the disinfection tank water level for supplying production water of a preset level of disinfection corresponding to the disinfection facility information. have. According to this configuration, when necessary, it is possible to supply water having a safe disinfection performance required prior to other conditions.

In addition, the data collection unit may further collect an abnormality detection signal from an abnormality detection sensor installed in the water purification facility. According to such a configuration, it is possible to diagnose an abnormal state of the water purification facility that cannot be grasped by process data using a separate sensor.

In addition, it may further include an open API providing unit for providing information of the storage unit to a communication terminal accessing the communication unit through a communication network. According to such a configuration, integrated management is possible without incurring a separate cost for linking with local governments by linking data standards using the Open APi method.

In addition, it may further include a journal generation unit for generating a management journal by using the data stored in the storage unit. According to such a configuration, it is possible to reduce the effort of the person in charge of the facility or the person in charge of the local government required for maintenance of the water purification facility.

In addition, the invention implementing the system in the form of a method and a recording medium recording a computer readable program for executing the method are disclosed together.

According to the present invention, by monitoring and diagnosing water facilities using process data from water purification facilities, the operation status and water supply information of water purification facilities installed in small water facilities are integrated within the small water facility itself without a separate management building. be able to manage

In addition, by automatically transmitting the monitoring or diagnosis result to the user terminal, the administrator can quickly respond to the occurrence of a problem in the water supply facility using a smart phone even in a remote location.

In addition, since a system for managing water facilities can be implemented as a single device, it can be easily employed in existing water facilities.

In addition, more effective management of water facilities becomes possible by preemptively controlling the water level in the tank by predicting the amount of water discharged by the consumer.

In addition, it becomes possible to more effectively manage water supply facilities by using local meteorological information as well as displacement information of consumers.

In addition, even when there is no user input, it is possible to supply water in an appropriate form according to changes in the environment in the area where the water supply facility is located.

In addition, it is possible to supply water in an optimal form by itself in response to various environmental changes.

In addition, by distributing the required amount of electricity by reflecting the peak hours, it is possible to operate water facilities at low electricity rates.

In addition, in the event of a disaster, it is possible to secure a stable water supply in preference to other conditions.

In addition, if necessary, it is possible to supply water having a required disinfection performance in preference to other conditions.

In addition, by using a separate sensor, it is possible to diagnose an abnormal state of the water purification facility that cannot be grasped by process data.

In addition, by linking data standards using the Open APi method, integrated management becomes possible without incurring additional costs for linking with local governments.

In addition, it is possible to reduce the effort of the person in charge of the facility or the person in charge of the local government required for maintenance of the water purification facility.

1 is a schematic block diagram of a non-face-to-face remote automatic management system for water facilities according to an embodiment of the present invention.
Figure 2 is a view for explaining an embodiment of the water facility non-face-to-face remote automatic management system of Figure 1;
Figure 3 is a diagram showing the hardware configuration of the water facility non-face-to-face remote automatic management system of Figure 2;
4 is a flowchart schematically illustrating an AI-based decision-making process performed by the control unit of FIG. 1 .
FIG. 5 is a diagram for explaining a pump operation schedule optimization engine in the pump operation plan of FIG. 4 .
Figure 6 is a view showing in more detail the configuration for the process management of the water facility non-face-to-face remote automatic management system of Figure 2;
7 is a diagram for explaining the operations performed by each component of the non-face-to-face remote automatic management system for water facilities
8 and 9 are views for explaining process monitoring and process diagnosis processes performed by the monitoring unit and the diagnosis unit of FIG. 1, respectively;
FIG. 10 is a view for explaining a process control process performed by the control unit of FIG. 1 ;
11 is a block diagram of FIG. 1 implemented as an IoT water level cloud system.
12 is a view showing the tank water level real-time monitoring screen and function description of FIG. 11 .
13 is a view showing the tank water level history monitoring screen and function description of FIG. 11 .
Fig. 14 is a view showing an example of the tank water level report screen of Fig. 11;

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

1 is a schematic block diagram of a non-face-to-face remote automatic management system for water facilities according to an embodiment of the present invention, and FIG. 2 is a view for explaining an embodiment of the non-face-to-face remote automatic management system for water facilities of FIG. 1 , FIG. 3 is a diagram showing the hardware configuration of the non-face-to-face remote automatic management system of the water supply facility of FIG. 2 .

In addition, FIG. 4 is a flowchart schematically illustrating an AI-based decision-making process performed by the control unit of FIG. 1 , and FIG. 5 is a diagram for explaining the pump operation schedule optimization engine in the pump operation plan of FIG. 4 .

Although the water purification facility in FIG. 2 is exemplified as a mobile water purification system of a reverse osmosis membrane water purification method and a UV disinfection method, the automatic water management system can be implemented with various water purification facilities of other methods including the conventional chlorine disinfection method.

In FIG. 1 , a non-face-to-face remote automatic management system 100 for water facilities is a system that is installed in response to a water purification facility of a water facility, respectively, and includes a data collection unit 110 , a monitoring unit 120 , a diagnosis unit 130 , and a control unit. 140 , the storage unit 150 , the communication unit 160 , the open API providing unit 170 , and the journal generation unit 180 , and the control unit 140 again sets the displacement prediction unit 142 and the control mode. part 144 .

The data collection unit 110 collects process data from the water purification facility and an abnormality detection signal from an abnormality detection sensor installed in the water purification facility. In this case, the data collection unit 110 may further collect data necessary for automatic management of water facilities, such as data on the external environment, weather, disaster, water quantity, water level, and water quality through the communication unit 160 .

The monitoring unit 120 calculates monitoring information of the water purification facility using the process data, and the diagnosis unit 130 calculates diagnostic information of the water purification facility using the process data. 6 is a diagram illustrating in more detail the configuration for process management of the non-face-to-face remote automatic management system for water facilities of FIG. 8 and 9 are views for explaining the process monitoring and process diagnosis processes performed by the monitoring unit and the diagnosis unit of FIG. 1, respectively.

As shown in FIG. 7 , the monitoring unit 120 performs real-time monitoring, history monitoring, and alarm monitoring, and the diagnosis unit 130 predicts the water quality of production water, determines whether there is a device failure, determines when to replace consumable equipment, and sterilizes An operation such as prediction may be performed.

The control unit 140 controls the water level of the tank in which the water produced from the water purification facility is stored according to the diagnosis information. FIG. 10 is a view for explaining a process control process performed by the controller of FIG. 1 . As shown in FIG. 10 , the control unit 140 may basically perform an optimal control of the tank water level, an optimal control of the electric power rate, an optimal control of the disinfection ability, and the like.

The displacement prediction unit 142 predicts the displacement amount of the customer of the water supply facility by using the information on the displacement amount of the customer. In addition, the data collection unit 110 may further collect meteorological information of the area in which the water supply facility is located, and the control unit 140 more effectively manages the water facility by using more local weather information as well as the displacement information of the consumer. becomes possible

For this, demand forecasting can be performed by a predictive model, independent variables are consumer supply, dependent variables are consumer demand forecasts, and explanatory variables are weather, temperature, cloudiness, daily precipitation, snow load, wind speed, relative humidity, etc. .

The control mode setting unit 144 sets the water level control mode of the tank according to the information collected by the data collection unit 110 . In this case, the control mode setting unit 144 may set the water level control mode using artificial intelligence.

The water level control mode may include a power rate optimization mode for setting the tank water level corresponding to the optimized power rate calculated using the contract power peak time information and the amount of power required to introduce production water into the tank. According to this configuration, by distributing the required amount of electricity by reflecting the peak time, it is possible to operate the water facility at a low electricity rate.

In addition, the water level control mode may further include a safe water level mode for setting a water level in the disinfection tank for supplying production water of a preset level of disinfection corresponding to the disinfection facility information. According to this configuration, in case of a disaster, it is possible to secure a stable water supply in preference to other conditions.

For example, in the case of UV disinfection method, disinfection performance is determined by the amount of UV injection, which is determined by the UV intensity and contact time again irradiated. Since the contact time is influenced by the flow rate and the flow rate can be adjusted by the tank water level, it is possible to control the disinfection performance through the water level control.

In addition, in the case of the conventional chlorine disinfection method, disinfection performance is determined according to the amount of chlorine injected, which is determined by the concentration (C) and the contact time (T) of the chlorine disinfectant injected again. Since the contact time is influenced by the flow rate and the flow rate can be adjusted by the tank level, the disinfection performance can be controlled through the water level control.

The storage unit 150 stores monitoring information and diagnosis information, and the communication unit 160 transmits the monitoring information and diagnosis information to the user terminal. The open API providing unit 170 provides information of the storage unit 150 to a communication terminal that accesses the communication unit 160 through a communication network, and the journal generation unit 180 uses the data stored in the storage unit 150 to Automatic creation of management log.

The water facility non-face-to-face remote automatic management system of the present invention may be implemented as an IoT water level meter cloud system. 11 is a block diagram of FIG. 1 implemented as an IoT water level meter cloud system, FIG. 12 is a view showing the tank water level real-time monitoring screen and function description of FIG. 11, and FIG. 13 is the tank water level history monitoring screen and function description of FIG. FIG. 14 is a view showing an example of the tank water level report screen of FIG. 11 .

In summary, in the present invention, IoT-based real-time anomaly detection and condition monitoring monitoring and optimal operation management techniques are applied to small-scale water facilities to reduce operating costs and provide a safe, efficient and convenient maintenance plan.

Accordingly, it is possible to manage integrated information within a small water facility itself by IoT technology without a management building, and to input and transmit data previously managed by a person in charge from a remote location.

In addition, the installation of an automated intelligent solution enables rapid response in the event of a pump stoppage or problem with a smartphone from a remote location regardless of location, and integrated management is possible without incurring separate local government linkage costs by linking data standards using the Open API method do.

Although the present invention has been described with reference to some preferred embodiments, the scope of the present invention should not be limited thereto, but should also extend to modifications or improvements of the above embodiments supported by the claims.

100: water facility non-face-to-face remote automatic management system
110: data collection unit
120: monitoring unit
130: diagnostic unit
140: control unit
142: displacement prediction unit
144: control mode setting unit
150: storage
160: communication department
170: Open API provider
180: journal generator

Claims (17)

The IoT sensor (water quality, water level) unit, IoT edge computing unit, and cloud unit installed in response to water purification facilities including small-scale water facilities and village water supply, respectively, analyze data sensed by itself in the ICT infrastructure convergence environment connected to each other through the Internet As a non-face-to-face remote automatic management system for water facilities based on intelligent IoT edge computing technology that predicts and makes decisions by itself through complex processing of data,
an IoT sensor unit that measures and transmits sensing information such as water quality and water level in the water purification facility;
an IoT edge computing unit that analyzes and predicts sensing data from the water purification facility and makes decisions by itself; and
An IoT cloud unit that transmits and receives data in real time to and from the IoT edge computing unit in real time, collects weather history information such as weather, and transmits it to the IoT edge computing unit, and maintains and manages process data in units of big data. A non-face-to-face remote automatic management system for water facilities.
The method according to claim 1,
The IoT sensor unit senses the state (TDS, chlorine concentration, UV irradiation amount, etc.) of the tank level of the water purification facility and the water quality of the process in real time, and transmits the result to the IoT edge computing unit,
The IoT edge computing unit collects water quality and water level data of the water treatment process and the tank transmitted from the IoT sensor unit in real time, and intelligently analyzes and predicts the state of the process using the data sensed by itself, and makes decisions on its own. Optimally control the process,
The IoT cloud unit collects weather history information such as weather, transmits setting information necessary for an algorithm to the IoT edge computing unit, and stores the entire data of small water facilities collected from the IoT edge computing unit in big data units, Water facility non-face-to-face remote automatic management system, characterized in that it finds an optimal maintenance solution based on the entire data of the small water facility.
As a non-face-to-face remote automatic management system for water facilities installed in response to water purification facilities of water facilities,
a data collection unit for collecting process data from the water purification facility;
a monitoring unit for calculating monitoring information of the water purification facility by using the process data;
a diagnostic unit for calculating diagnostic information of the water purification facility by using the process data;
a control unit controlling the water level of a tank in which the water produced from the water purification facility is stored according to the diagnosis information;
a storage unit for storing the monitoring information and the diagnosis information; and
Water facility non-face-to-face remote automatic management system comprising a communication unit for transmitting the monitoring information and diagnostic information to a user terminal.
4. The method according to claim 3,
The data collection unit further collects information on the amount of water consumption by the water facility,
The control unit is a water supply facility non-face-to-face remote automatic management system, characterized in that it comprises a drainage amount prediction unit for predicting the customer displacement amount of the water supply facility by using the customer displacement information.
5. The method according to claim 4,
The data collection unit non-face-to-face remote automatic management system for water facilities, characterized in that it further collects weather information of the area where the water facility is located.
6. The method of claim 5,
The control unit is water facility non-face-to-face remote automatic management system, characterized in that it further comprises a control mode setting unit for setting the water level control mode of the tank according to the information collected by the data collection unit.
7. The method of claim 6,
The control mode setting unit uses artificial intelligence to plan the water level of the tank and set the pump schedule control mode of the tank.
5. The method according to claim 4,
The data collection unit further collects contract power peak time information,
The water level control mode includes a power rate optimization mode for planning and setting a tank water level corresponding to an optimized power rate calculated using the contract power peak time information and the amount of power required to introduce the production water into the tank A non-face-to-face remote automatic management system for water facilities.
5. The method according to claim 4,
The data collection unit further collects disaster information,
The water level control mode is a water facility non-face-to-face remote automatic management system, characterized in that it includes a stable water level mode for planning and setting the tank water level corresponding to the disaster information.
5. The method according to claim 4,
The data collection unit further collects disinfection facility information of the production water,
The water level control mode is a water facility rain, characterized in that it includes a safety water level mode for planning and setting a disinfection tank water level for supplying production water that achieves a preset disinfection ability corresponding to the disinfection facility information and minimizes disinfection by-products Face-to-face remote automatic management system.
4. The method according to claim 3,
The data collection unit non-face-to-face remote automatic management system for water facilities, characterized in that it further collects an abnormality detection signal from an abnormality detection sensor installed in the water purification facility.
4. The method according to claim 3,
Water facility non-face-to-face remote automatic management system further comprising an open API providing unit for providing information of the storage unit to a communication terminal accessing the communication unit through a communication network.
13. The method of claim 12,
Water facility non-face-to-face remote automatic management system, characterized in that it further comprises a diary generator for generating a management log by using the data stored in the storage unit.
The IoT sensor (water quality, water level) unit, IoT edge computing unit, and cloud unit installed in response to water purification facilities including small-scale water facilities and village water supply, respectively, analyze data sensed by itself in the ICT infrastructure convergence environment connected to each other through the Internet And as a non-face-to-face remote automatic management method for water facilities performed by a water facility non-face-to-face remote automatic management system based on intelligent IoT edge computing technology that predicts and makes decisions by itself through complex processing of data,
The IoT sensor unit measuring and transmitting sensing information such as water quality and water level in the water purification facility;
Analyzing and predicting, by an IoT edge computing unit, sensing data from the water purification facility, and making a decision by itself; and
The IoT cloud unit transmits/receives data in real time to and from the IoT edge computing unit in real time, collects weather history information such as weather, transmits it to the IoT edge computing unit, and maintains process data in units of big data. A non-face-to-face remote automatic management method of water supply facilities.
A recording medium in which a computer readable program for executing the method of claim 14 is recorded.
As a non-face-to-face remote automatic management method for water facilities performed by a non-face-to-face remote automatic management system for water facilities installed in response to water purification facilities of water facilities,
a data collection step of collecting process data from the water purification facility;
a monitoring c step of calculating monitoring information of the water purification facility using the process data;
a diagnosis c step of calculating diagnostic information of the water purification facility using the process data;
a control step of controlling a water level of a tank in which the water produced from the water purification facility is stored according to the diagnosis information;
a storage step for storing the monitoring information and diagnostic information; and
A non-face-to-face remote automatic management method for water supply facilities, comprising a communication step of transmitting the monitoring information and diagnostic information to a user terminal.
A recording medium in which a computer readable program for executing the method of claim 16 is recorded.

Images