KR102212476B1 - Distribution board and motor control centerboard using power management control system based on edge computing - Google Patents

Abstract

The present invention relates to a distribution board and an electric motor centerboard using an edge computing based power management control system. More particularly, the present invention relates to a distribution board and an electric motor centerboard for controlling states including power quality management and failure using edge computing technology. A distribution board or an electric motor centerboard using an edge computing based power management control system comprises: an IoT edge gate module for measuring a voltage input to the distribution board (or the electric motor centerboard), and measuring a leakage current in the distribution board/electric motor centerboard, calculating various power qualities based on the measured voltage and current, determining whether power fails to control alarm or blocking based on the determination result, and transmitting the measured data to an external clouding server; a current sensor module to measure a current of each terminal installed in the distribution board or the electric motor centerboard; and a sensing and control module connected with the IoT edge gate module for receiving a sensor value from a sensor installed inside the distribution board/electric motor centerboard to transmit the sensor value to the IoT edge gate module, and configured to control alarm, or blocking of a door or a breaker according to a control signal from the IoT edge gate module.

Description

Distribution board and motor control centerboard using power management control system based on edge computing}

The present invention relates to a distribution board and an electric motor control panel using an edge computing-based power management control system, and more particularly, to a distribution panel and an electric motor control panel that perform state control such as power quality management and abnormality using edge computing technology. will be.

In general, the power management and control system can be used based on a cloud server. However, the current cloud server has the following problems.

The first problem is that service provision is delayed. In the case of a clouding-based service, since it does not operate on a device, it must go through a central server. This will inevitably take longer to provide the service. This delay makes it difficult to provide a real-time service.

The second problem is that the load to be handled in the cloud will increase dramatically. According to'Statista', a specialized market research organization, the number of Internet of Things (IoT) devices is expected to increase explosively in the future. It is expected to exceed 30 billion in 2020 and reach 75 billion in 2025. This means that the number of IoT devices to be linked with the cloud increases, and the cloud processing load also increases.

The third problem is information infringement. Leaving the cloud to handle the load also means providing certain information to the cloud provider. General information is fine, but it is difficult to leave important information to a cloud provider.

Due to the above problems, there is an increasing demand for a technology to manage and control power quality in an edge computer, moving away from the cloud server-based power management control system.

Korean Registered Patent No. 10-1200950 (registered on November 7, 2012)

An object of the present invention is to provide information on the state of abnormality detection of power step by step, and based on this, predictive maintenance such as the state of power equipment, life prediction, optimal operation, and response to failures. It is to provide a distribution panel and a motor control panel using an edge computing-based power management control system, capable of predicting by monitoring and maintenance based on the information.

Another object of the present invention is that the processing speed can be increased, the load on the server can be reduced, the load on the server can be reduced, the security is advantageous, and the abnormal state of each stage can be predicted and predicted through the correlation between power quality and leakage current. It is to provide a distribution board and motor control board using a power management control system.

Another object of the present invention is to detect the leakage current flowing to the ground and cut off the related power supply, thereby detecting the presence or absence of an abnormality linked to the power quality in advance, thereby efficiently implementing the function of predictive maintenance, based on edge computing power management It is to provide a distribution board and motor control board using a control system.

Another object of the present invention is that only those who are authorized to access the distribution board or MCC (Motor Control Center) are allowed to detect the risk of electric shock in advance, thereby helping safety, edge computing-based power management control It is to provide distribution board and motor control board using the system.

The objects of the present invention are not limited to the above-mentioned objects, and other objects that are not mentioned will be clearly understood by those of ordinary skill in the art from the following description.

In order to achieve the above object, the distribution panel or motor control panel using the power management control system based on edge computing according to the present invention measures the voltage input to the distribution panel (or motor control panel), and measures the leakage current in the distribution panel (or motor control panel). Based on the measured input voltage of the distribution panel (or motor control panel), the leakage current in the distribution panel (or motor control panel), the voltage delivered to each terminal, and the current of each terminal measured by the current sensor module installed in each terminal, It calculates the power quality of the distribution panel (or motor control panel) and the power quality at each terminal, determines whether the power is abnormal, performs alarm or cut-off control based on this, and transmits the measured data to an external clouding server. IoT edge gate module;
A current sensor module installed at each terminal in the distribution panel (or motor control panel), measuring a current of each terminal, and transmitting the measured current value to the IoT edge gate module; And
It is connected to the IoT edge gate module and receives a sensor value from a sensor installed in the distribution panel (or motor control panel) and transmits it to the IoT edge gate module, and according to the control signal of the IoT edge gate module, an alarm, door or breaker It includes a; sensing and control module for performing cut-off control.

According to a preferred embodiment, the electric shock detection module further includes an electric shock detection module that detects the risk of electric shock of a worker who approaches the distribution board or the motor control board, and according to a more preferred embodiment, the electric shock detection module uses the input AC power as DC power. AC interface unit for converting and voltage dropping; A safety terminal touched by an operator who approaches the distribution panel or motor control panel; A switching unit connected to the AC interface unit and the safety terminal to be turned on and off depending on whether the operator is at risk of electric shock when the operator touches the safety terminal; An alarm unit for generating an emergency warning sound or an emergency warning lamp when the switching unit is turned on; Includes; a wired/wireless module for transmitting a dangerous situation to the outside through wired or wireless when the switching unit is turned on, and when the switching unit is turned on, a distribution board or a door locking device electrically connected to the switching unit is used. The door of the motor control panel is locked.
According to a preferred embodiment, the current sensor module has a ring shape and a power line passes therethrough, but a clip-shaped core capable of opening and closing one side thereof, a Hall sensor installed on one side of the core, and the Hall sensor It includes a microcontroller unit (MCU) that calculates the measured value of and converts it into a current value, and transmits the current value of each terminal to the IoT edge gate module through an RS485 communication line.

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According to a preferred embodiment, the IoT edge gate module continuously updates the reference for an abnormal state at each stage generated through correlation analysis using data measured in a distribution panel or motor control panel by the clouding server.

According to a preferred embodiment, the operator can open the door of the distribution panel or motor control panel through RFID authentication using an RFID tag, NFC authentication using an NFC tag, or authentication through a password input to an HMI (human machine interface, touch panel). It additionally includes an authentication module that authenticates it.

According to a preferred embodiment, the IoT edge gate module includes: a voltage monitoring IC for measuring a voltage input to a distribution panel or an electric motor control panel; A leakage current measuring unit for measuring the leakage current of the distribution board or motor control panel; A touch panel unit (HMI) that displays a state of the distribution panel or motor control panel and receives an operator's instruction; It receives and processes the operator's instruction through the touch panel unit, calculates various power qualities based on voltage and current, determines whether the power is abnormal, performs alarm or cut-off control based on this, and stores the measured data. Central processing unit for transmitting to the clouding server of the; And a storage unit for storing the various power quality and various data.

According to a preferred embodiment, the leakage current measurement unit includes a resistance array unit in which a plurality of resistances are connected in parallel according to the number of input voltages, a switching unit that is turned on/off to selectively conduct according to an input voltage value, and a ground. It includes a voltage sensor connected to measure the voltage of the leakage current.

The distribution board and the motor control board using the power management control system based on the edge computing of the present invention as described above provide information about the state of abnormality detection of power step by step, and continuously update the information to determine the state of the power facility. It has the advantage that predictive maintenance such as life expectancy, optimum operation, and failure response is possible.

In addition, the distribution board or motor control board using the power management control system based on the edge computing of the present invention has a fast processing speed, can reduce the load on the server, is advantageous for security, and reduces power quality and leakage current by applying edge computing. It has the advantage of predicting and preserving abnormal conditions at each stage through correlation.

In addition, the distribution board or motor control board using the power management control system based on the edge computing of the present invention detects leakage current flowing to the ground and cuts off the related power supply, thereby detecting the presence or absence of an abnormality linked to the power quality in advance, Through this, the function of predictive maintenance can be efficiently implemented.

In addition, the distribution panel or motor control panel using the power management control system based on the edge computing of the present invention allows only those who are authorized to access the distribution panel or MCC (Motor Control Center), thereby detecting the risk of electric shock of the administrator in advance, thereby improving safety. It has the advantage of being able to help.

1 and 2 are overall configuration diagrams of a distribution board or motor control panel using an edge computing-based power management control system according to a preferred embodiment of the present invention, and FIG. 1 shows a block diagram, and FIG. 2 shows a conceptual diagram. do.
3 is a system configuration diagram of a distribution panel using an edge computing-based power management control system according to a preferred embodiment of the present invention, and FIG. 4 is a system configuration diagram of an electric motor control panel (MCC).
5 is a flow chart illustrating the operation principle of an electric shock detection module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.
6 is a configuration diagram of an electric shock detection module of a distribution panel or an electric motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.
7 is a block diagram of an IoT Edge Gateway module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.
8 is an exemplary view of a leakage current measurement unit of an IoT Edge Gateway module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.
9 is a conceptual diagram of leakage measurement of a leakage current measurement unit of an IoT Edge Gateway module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.
FIG. 10 is a block diagram showing the configuration of a current sensor module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention, where (A) is a configuration diagram of a current sensor, (B) shows the connection relationship of each current sensor module.
11 is a conceptual diagram of a current sensor module of a distribution board or an electric motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention, wherein (A) shows a case where a Hall sensor is installed at the entrance side. , (B) shows the case where the Hall sensor is installed in the center.
12 is a configuration diagram of a sensing and control module of a distribution panel or an electric motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.
13 is an operation flow diagram of a distribution board using an edge computing-based power management control system according to a preferred embodiment of the present invention.
14 is a flowchart illustrating an operation of an electric motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various forms different from each other, and only these embodiments make the disclosure of the present invention complete, and common knowledge in the technical field to which the present invention pertains. It is provided to completely inform the scope of the invention to those who have it, and the invention is only defined by the scope of the claims.

With reference to the accompanying drawings below will be described in detail for the implementation of the present invention. Regardless of the drawings, the same reference numerals refer to the same elements, and "and/or" includes each and all combinations of one or more of the mentioned items.

The terms used in this specification are for describing exemplary embodiments, and are not intended to limit the present invention. In this specification, the singular form also includes the plural form unless specifically stated in the phrase. As used in the specification, “comprises” and/or “comprising” do not exclude the presence or addition of one or more other elements other than the mentioned elements.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used as meanings that can be commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not interpreted ideally or excessively unless explicitly defined specifically.

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

1 and 2 are overall configuration diagrams of a distribution board or motor control panel using an edge computing-based power management control system according to a preferred embodiment of the present invention, and FIG. 1 shows a block diagram, and FIG. 2 shows a conceptual diagram. do.

3 is a system configuration diagram of a distribution panel using an edge computing-based power management control system according to a preferred embodiment of the present invention, and FIG. 4 is a system configuration diagram of an electric motor control panel (MCC).

The distribution panel or motor control panel (MCC) using the edge computing-based power management control system of the present invention includes an IoT edge gateway module (IoT edge gateway module, 10), a current sensor module 20, a sensing and control module 30, and an electric shock. It includes a detection module 40, and an authentication module 50.

The IoT edge gateway module 10 measures the voltage of the input power supply, measures the leakage current, and calculates various power quality based on the measured voltage and current. It performs blocking control of the circuit breaker, transmits various measurement data and calculated data to the clouding server, receives the updater information analyzed by the clouding server, and updates the abnormal state by step.

The current sensor module 20 measures the current at each terminal in the distribution panel or motor control panel. Instead of measuring the current on the input side that is input to the distribution panel or motor control panel, it is possible to know the power quality at each terminal by measuring the current of each terminal in the distribution panel or motor control panel.

The sensing and control module 30 is an input/output module, which is connected to the IoT edge gateway module, receives sensor values from various sensors (current sensor module, temperature sensor, vibration sensor, etc.), and transmits it to the IoT edge gateway module. It is a part that performs blocking control of an alarm or door or breaker according to the control signal of the gateway module.

The electric shock detection module 40 is a part that detects whether an electric shock hazard of a worker who approaches a distribution panel or an electric motor control panel (MCC).

The authentication module 50 is a part that authenticates the operator to open the door of the distribution panel or motor control panel. According to the authentication by the authentication module, the door is opened and closed according to the control signal of the IoT edge gateway module connected to the authentication module.

Each of the components and operating principles of the distribution panel or motor control panel of the present invention will be described in more detail below.

First, the electric shock detection module 40 will be described in detail.

5 is a flow chart illustrating the operation principle of an electric shock detection module of a distribution panel or an electric motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention, and FIG. 6 is a preferred embodiment of the present invention. According to an example, a configuration diagram of an electric shock detection module of a distribution panel or an electric motor control panel (MCC) using an edge computing-based power management control system.

5 and 6, the electric shock detection module 40 for detecting whether the operator is at risk of electric shock is an AC interface unit 41, a switching unit 42, a battery unit 43, an alarm unit 44, wired/wireless It includes a module 45 and a safety terminal 46. The electric shock detection module 40 is supplied with AC power. It is a state in which the L line and the earth are connected among the L and N lines of the AC power supply.

The AC interface unit 41 converts the input AC power into DC power and drops the voltage.

The safety terminal 46 is a terminal that can be touched by an operator, and may have various shapes, but preferably has a plate shape. If the operator touches the safety terminal and there is a risk of electric shock (that is, the operator acts as a conductor and is electrically connected to the ground), a closed loop is formed to operate the switching unit.

When the operator touches the safety terminal, the switching unit 42 is turned on and off according to whether the operator is in danger of electric shock. In other words, in the switching unit 42, the part connected to the AC interface is connected to the base end, the part connected to the alarm unit 44 is connected to the emitter end, and the part connected to the battery part is connected to the collector end. do. When a person touches the safety terminal, there is a risk of electric shock if the worker acts as a conductor for reasons such as a lot of moisture on the body. At this time, the operator forms a closed loop by acting as a conductor, the switching unit is turned on, and power is supplied to the alarm unit to operate the alarm unit. In addition, dangerous situations are communicated to the outside through wired and wireless modules.

The battery part 43 is a part that supplies power to the alarm part and the wired/wireless module, and the alarm part 44 is emergency when power is supplied (when the worker touches the safety terminal and the worker conducts to ground). This is where the lamp is turned on or the emergency bell is turned on.

Although not shown, a door locking device may be installed between the switching unit and the safety terminal to lock the door of the distribution panel or the motor control panel when the switching unit is operated when the operator touches the safety terminal.

When the operator touches the safety terminal, the wired/wireless module 45 notifies a dangerous situation to an external smartphone app through wired or wired communication when the switching unit is operated or transmits the dangerous situation to the IoT edge gateway module. The IoT edge gateway module can manage and supervise the dangerous situation by transmitting it to the clouding server 200. As for wireless communication, it goes without saying that various communication methods such as WiFi, Bluetooth, NB IoT, and Zigbee can be used.

The authentication module 50 is a part that authenticates the operator to open the door of the distribution panel or motor control panel. Authentication can be performed in various ways, such as RFID authentication using an RFID tag, NFC authentication using an NFC tag, or authentication through a password input to a human machine interface (HMI).

When authentication is performed by the authentication module, the door of the distribution panel or motor control panel is opened and closed. That is, the authentication module is made to open and close the door of the distribution panel or the motor control panel.

The user's authentication level can be divided into a general user and an administrator. For example, the general user will be able to open and close the door in a limited range, and the administrator will be able to open and close the door in all ranges.

7 is a block diagram of an IoT Edge Gateway module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.

The IoT Edge Gateway module 10 is a part that measures voltage and leakage current supplied to a distribution panel or motor control panel, performs various calculations, and performs various controls.

The voltage monitoring IC (Power Monitoring IC, 14) measures the voltage input to the distribution panel or motor control panel. The voltage is measured at the input side voltage. The voltage value measured by the voltage monitoring IC and the current value received from the current sensing module are transferred to the CPU, and the CPU calculates the AC power quality.

AC power quality is current (I), phase voltage (V), line voltage (V), active power (KW), reactive power (KVAR), apparent power (KVA), active power (kWh), frequency (Hz), Power factor, temperature (℃), active power peak, current month cumulative power amount (kWh), previous month cumulative power amount (kWh), voltage crest factor, current crest factor, voltage harmonic, current harmonic, voltage THD, current THD, leakage current, voltage phase angle, Includes Sag, Swell, etc. That is, the CPU calculates various power qualities based on the input voltage and current values.

The touch panel unit 16 (HMI, Human Machine Interface) is a part that displays various states of the distribution board and receives operator's instructions.

The touch panel unit 16 (HMI, Human Machine Interface) displays the power quality and leakage current status, displays an alarm on the screen when an alarm occurs, and displays the processed result value by processing the analysis on the alarm occurrence in the CPU. When a control element occurs, it should be displayed on the screen. The touch panel unit also receives instructions from an operator, that is, various instructions such as door on/off, alarm unit on/off, power on/off, and the like. Instructions input from the touch panel unit are transmitted to the central processing unit.

The central processing unit (CPU) 11 receives commands or data from the human machine interface (HMI) and processes them. Embedded software (ex. Raspberry 32bit) is installed in the central processing unit 11 to process commands and data received from the HMI, and implement algorithms and artificial intelligence based on data on power quality.

In the part that analyzes and processes power quality, there is a limit to processing data with firmware, and in order to stably process a lot of data, the central processing unit 11 is configured to process and back up data based on embedded software. . Furthermore, by applying artificial intelligence (AI), a smart IoT Gateway Edge module is possible, and even machine learning or deep learning can be implemented.

The IoT edge gateway module communicates with the sensing and control module 30 through RS485 Modbus, receives data and transmits control commands based on this communication.

The communication module can communicate with the Clouding Server through Ethernet, and can communicate with the Clouding server through wireless communication. That is, the communication module may be applied to both wired and wireless communication modules or either.

The storage unit 16 is a part that stores data received from the CPU. The stored data can be transferred to and stored in an external storage device such as an SD card or USB memory.

In this way, by measuring/analyzing the power quality in the central processing unit in the distribution panel or motor control panel, the time required for processing in the previous remote Clouding Server can be shortened, and even if a network problem occurs, the IoT Gateway Edge module can be processed first. Therefore, there is an advantage that rapid processing is possible.

8 is an exemplary diagram of a leakage current measurement unit of an IoT Edge Gateway module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.

The leakage current measurement of the distribution panel of the present invention is performed at the entrance side of the distribution panel or motor control panel (MCC) where power is supplied as shown in FIG. 7.

The leakage current measurement unit 15 includes a resistance arrangement unit 15a in which a plurality of resistances are connected in parallel according to the number of input voltages, a switching unit 15b that is turned on/off to selectively conduct according to an input voltage value, It includes a voltage sensor unit (15c) connected to the ground to measure the voltage of the leakage current.

Referring to FIG. 8, the resistance array unit 15a is formed in parallel in a plurality according to the number of input voltages. 220V or 380V is input as external power input to the distribution board. Accordingly, the resistor array unit has 220kΩ and 380kΩ resistors connected in parallel. The resistance of the resistance arrangement part can be freely changed according to the input voltage.

The switching units 15b connected to the resistance array unit are connected to each resistor in series, respectively. The number of switches of the switching unit 15b is the same as the number of resistances of the resistance arrangement unit. The switching unit 15b turns on/off a switch to selectively conduction according to an input voltage value. If 220V is input, S2 is On, S1 is Off. When 380V is input, S2 is OFF and S1 is On. Each switch of the switching unit 15b is turned on and off by the control of the central processing unit (CPU) 11 based on the voltage measured by the voltage monitoring IC 14.

The switching unit is connected to the voltage sensor unit 15c. The voltage sensor unit 15c is a part that measures the voltage of the leakage current and is connected to the ground.

In order to measure the leakage current, it is possible to accurately measure by converting the voltage value measured by the voltage sensor unit into a parameter for measuring leakage current. When a specific leakage current is detected, the effect on power quality can be analyzed and processed through AI.

9 is a conceptual diagram illustrating a leakage measurement of a leakage current measuring unit of an IoT Edge Gateway module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.

Referring to FIG. 9, an AC power source (AC) is connected to a voltage sensor and also to a ground. R _N means the specific resistance between the N line and the ground, and R _L means the specific resistance between the L line and the ground. R1 refers to the resistance component generated when leakage current occurs.

First, measure the L line and N line with the ground using a voltage sensor. Thereafter, when a leakage current occurs, a voltage fluctuation occurs, and by measuring the fluctuation value of the voltage, the leakage current according to the voltage fluctuation can be calculated.

Due to this principle, the conventional earth leakage circuit breaker can simply cut off only when a leakage current (15mA) occurs, but in the present invention, it is possible to detect/measure a minute leakage current of 1mA or less. By detecting in advance, the function of predictive maintenance can be efficiently implemented.

FIG. 10 is a block diagram showing the configuration of a current sensor module of a distribution panel or motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention, where (A) is a configuration diagram of a current sensor, (B) shows the connection relationship of each current sensor module, and FIG. 11 is a conceptual diagram of the current sensor module, where (A) shows a case where a Hall sensor is installed at the entrance side, and (B) shows a case where a Hall sensor is installed at the center. Shows.

Referring to Figures 10 and 11, when describing the current sensor module of the present invention,

In the previous technology, a current module using a CT (current transformer) is installed in a distribution board or a motor control panel. In this case, since all terminals in the distribution panel or motor control panel are all connected by separate lines, there is a problem that wiring is very complicated.

In order to overcome this problem (complicated wiring), the present invention proposes a small current sensor module for miniaturization of the current sensor module and simplification of wiring in order to simplify work.

That is, a core is installed at each terminal and a Hall sensor is inserted between the cores to measure the current for each terminal, and the current value measured at each terminal is transmitted to the IoT gateway module through one serially connected 485 communication line.

It is measured at the voltage distribution panel or the entire input side of the motor control panel, and the current is measured for each terminal, and the power quality of each terminal can be checked. That is, the current sensor module is installed at each terminal to measure the current value for each terminal, and transmits it to the IoT edge gateway module through RS485 communication.

The current sensor module 20 installed at each terminal has a ring shape and a power line passes through the inside, but a clip-shaped core 21 capable of opening and closing one side, and a hall sensor installed on one side of the core ( 22), and a micro controller unit (MCU) 23 that calculates and converts the measured value of the Hall sensor into a current value and transmits the current value to the IoT edge gateway module 10 through an RS485 communication line.

The core 21 installed in the current sensor module 20 structurally requires a coil operation therein, and thus requires a space. In order to solve this, the core 21 has a clip shape so that one side can be opened/closed. Hall sensors installed on the core can be installed in various positions depending on the structure. Figure 11 (a) shows a case installed on the inlet side of the opening and closing of the core, Figure 11 (b) shows a case located in the center of the core.

The Hall sensor 22 detects the direction and magnitude of the magnetic field by using the Hall effect in which a voltage is generated in a direction perpendicular to the current and the magnetic field when a magnetic field is applied to a conductor through which a current flows. The generated voltage is a sensor that uses the effect of generating a current difference.

The Hall sensor 22 of the present invention is inserted between the cores 21, and the output of the Hall sensor is transmitted to a micro controller unit (MCU), converts it into a current value, and transmits it to the IoT edge gateway module through 485 communication.

12 is a configuration diagram of a sensing and control module of a distribution panel or an electric motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.

Referring to FIG. 12, the sensing and control module 30 is connected to the IoT edge gateway module to receive sensor values from various sensors (current sensor module, temperature sensor, vibration sensor, etc.) and transmit it to the IoT edge gateway module, It is a part that performs blocking control of an alarm or door or breaker according to the control signal of the IoT edge gateway module. That is, the sensing and control module will be the input/output unit linked to the IoT edge gateway module. The sensing and control module 30 includes analog input (AI), analog output (AO), digital input (DI), and digital output (DO). Preferably, analog input (AI) and analog output (AO) each have a range of 4-20mA or 0-10V, and digital input (DI) and digital output (DO) have 0V, 5V, 10V, and 24V, respectively. . As such, the sensing and control module means I/O (input/output module).

AI input is an interface for sensing various sensors (temperature, smoke sensor, etc.), it is an input module of several mA or several mV, and AO is a part that outputs an analog signal, an interface that outputs 0~20mA or 0~10V. Part.

DI is a part that determines voltage high or low, and is an interface part that outputs 0V, 5V, 10V, and 24V, and DO is a part that outputs high or low voltage and is a part for driving relays or breakers.

13 is an operation flow diagram of a distribution board using an edge computing-based power management control system according to a preferred embodiment of the present invention.

Referring to FIG. 13, the distribution panel using the edge computing-based power management control system of the present invention first measures the temperature in the distribution panel through a temperature sensor, and calculates the voltage of the power input through the voltage monitoring IC of the IoT edge gateway module. It measures and measures the leakage current through the leakage current measuring part of the IoT edge gateway module, and at the same time measures the current through the current sensor module at each terminal. In other words, it measures temperature, voltage, current, and electric leakage through various sensor modules.

Using the measured voltage and current, the central processing unit (CPU) calculates the power quality, collects and analyzes power quality data, and also collects and analyzes leakage current data.

And, based on the collected data, the correlation between power quality and leakage current is analyzed.

Based on the analyzed correlation, the abnormal state of each stage is detected. Step-by-step abnormal conditions can be classified into three stages: normal, demand for attention (detection of risk factors), and warning.

Depending on the detected state, a notification is generated or a door or a breaker is shut off. Alert warning and blocking control of a door or a breaker can also be performed by detecting whether an operator is electrocuted by an electric shock detection module. When the problem is solved by this, the same process is continuously repeated in real time again.

The central processing unit (CPU) of the IoT edge gateway module performs analysis on such a problem and identifies data rules by analysis.

It is constructed as a database for long-term learning of these data rules, and based on this, the abnormal state criteria for each step are updated.

The database for long-term learning is stored in the database of the clouding server, and the clouding server analyzes the correlation according to the big data built by such long-term learning, and based on the analyzed correlation, predicts maintenance based on big data. Perform.

Based on the predictive maintenance performed in the clouding server, the criteria for the abnormal state of each stage are updated.

14 is a flowchart illustrating an operation of an electric motor control panel (MCC) using an edge computing-based power management control system according to a preferred embodiment of the present invention.

Referring to FIG. 14, the motor control panel (MCC) using the edge computing-based power management control system of the present invention measures the voltage of the power input through the voltage monitoring IC of the IoT edge gateway module, and leaks the IoT edge gateway module. In addition to measuring the leakage current through the current measuring unit, the current is measured through the current sensor module at each terminal, the temperature in the distribution panel is measured through the temperature sensor, and the vibration value is measured through the vibration sensor. That is, voltage, current, temperature, leakage current and vibration are measured through various sensor modules.

Measured data (voltage, current, temperature, leakage current, vibration, etc.) are collected and analyzed. Based on this, the correlation between each data is analyzed.

Based on the analyzed correlation, the abnormal state of each stage is detected. Step-by-step abnormal conditions can be classified into three stages: normal, demand for attention (detection of risk factors), and warning.

Depending on the detected state, a notification is generated or a door or a breaker is shut off. Alert warning and blocking control of a door or a breaker can also be performed by detecting whether an operator is electrocuted by an electric shock detection module. When the problem is solved by this, the same process is continuously repeated in real time again.

The central processing unit (CPU) of the IoT edge gateway module performs analysis on such a problem and identifies data rules by analysis.

It is constructed as a database for long-term learning of these data rules, and based on this, the abnormal state criteria for each step are updated.

The database for long-term learning is stored in the database of the clouding server, and the clouding server analyzes the correlation according to the big data built by such long-term learning, and based on the analyzed correlation, Perform predictive maintenance.

Based on the predictive maintenance performed in the clouding server, the criteria for the phased abnormal state are updated again. In this way, it is possible to efficiently implement the predictive maintenance function by continuously updating the abnormal state and detecting the presence or absence of the abnormality in advance.

Although the embodiments of the present invention have been described with reference to the above and the accompanying drawings, those of ordinary skill in the art to which the present invention pertains can implement the present invention in other specific forms without changing the technical spirit or essential features. You can understand that there is. Therefore, it is to be understood that the embodiments described above are illustrative and non-limiting in all respects.

100: distribution panel or motor control panel
10: IoT edge gateway module (Internet of Things edge gateway module)
11: Central processing unit
12: touch panel unit
13: power converter
14: voltage monitoring IC
15: leakage current measuring unit
15a: resistance array unit
15b: switching unit
15c: voltage sensor unit
16: storage
17: external storage device
20: current sensor module
21: core
22: Hall sensor
23: micro controller unit (MCU)
30: sensing and control module
40: electric shock detection module
41: AC interface unit
42: switching unit
43: battery part
44: alarm unit
45: wired/wireless module
46: safety terminal
50: authentication module
200: clouding server

Claims (14)

In the distribution board using an edge computing-based power management control system,
Measure the voltage input to the distribution panel, measure the leakage current in the distribution panel, measure the input voltage of the distribution panel, the leakage current in the distribution panel, the voltage delivered to each terminal, the current of each terminal measured by the current sensor module installed at each terminal Based on, the power quality of the distribution board and power quality at each terminal are calculated, the power quality is determined, and based on this, an alarm or cut-off control is performed, and the measured data is transmitted to an external clouding server. Edge gate module;
A current sensor module installed at each terminal in the distribution panel, measuring a current of each terminal, and transmitting the measured current value to the IoT edge gate module; And
It is connected to the IoT edge gate module to receive a sensor value from a sensor installed in the distribution panel and transmit it to the IoT edge gate module, and to perform an alarm or block control of a door or a breaker according to a control signal of the IoT edge gate module. A distribution board comprising: a sensing and control module. The method of claim 1,
Further comprising an electric shock detection module for detecting the risk of electric shock of an operator approaching the distribution board,
The electric shock detection module,
An AC interface unit converting the input AC power into DC power and reducing the voltage;
A safety terminal that is touched by an operator who approaches the distribution board;
A switching unit connected to the AC interface unit and the safety terminal to be turned on and off depending on whether the operator is at risk of electric shock when the operator touches the safety terminal;
An alarm unit for generating an emergency warning sound or an emergency warning lamp when the switching unit is turned on;
Includes; a wired/wireless module for transmitting a dangerous situation to the outside through wired or wireless when the switching unit is on,
A distribution panel, characterized in that when the switching unit is turned on, a door of the distribution panel is locked using a door locking device electrically connected to the switching unit. The method of claim 1,
The current sensor module
A clip-shaped core that has a ring shape and allows the power line to pass through but open and close one side,
A hall sensor installed on one side of the core,
And a microcontroller unit (MCU) configured to calculate and convert the measured value of the Hall sensor into a current value, and to transmit the current value of each terminal to the IoT edge gate module through an RS485 communication line. The method of claim 1,
The IoT edge gate module is a distribution panel, characterized in that continuously updating a reference for an abnormal state in each stage generated through a correlation analysis using data measured in the distribution panel by the clouding server. The method of claim 1,
An additional authentication module that authenticates the operator to open the door of the distribution panel through RFID authentication using an RFID tag, NFC authentication using an NFC tag, or authentication through a password input to an HMI (human machine interface, touch panel) is included. Distribution board, characterized in that. The method of claim 1,
The IoT edge gate module
A voltage monitoring IC that measures a voltage input to the distribution board;
A leakage current measuring unit for measuring the leakage current of the distribution board;
A touch panel unit (HMI) that displays a state of the distribution board and receives an instruction from an operator;
The power of the distribution panel is received and processed through the touch panel unit, based on the measured distribution panel input voltage, the leakage current in the distribution panel, the voltage delivered to each terminal, and the current of each terminal measured by the current sensor module. A central processing unit that calculates quality and power quality at each terminal, determines whether or not power is abnormal, performs alarm or cut-off control based on this, and transmits the measured data to an external clouding server; And
And a storage unit that stores the various power quality and various data. The method of claim 6,
The leakage current measuring unit
A resistor array unit in which a number of resistors are connected in parallel according to the number of input voltages,
A switching unit that is turned on/off to selectively conduct according to an input voltage value, and
A distribution board comprising a voltage sensor unit connected to the ground and measuring a voltage of a leakage current. In the motor control panel using an edge computing-based power management control system,
It measures the voltage input to the motor control panel, measures the leakage current in the motor control panel, and measures the measured motor control panel input voltage, leakage current in the motor control panel, voltage delivered to each terminal, and measured by the current sensor module installed at each terminal. Based on the current of each terminal, the power quality of the motor control panel and the power quality of each terminal are calculated, whether there is an abnormality in the power, and based on this, alarm or cut-off control is performed, and the measured data is clouded to the outside. IoT edge gate module for transmitting to the server;
A current sensor module installed at each terminal in the motor control panel, measuring a current of each terminal, and transmitting the measured current value to the IoT edge gate module; And
It is connected to the IoT edge gate module, receives sensor values from a sensor installed in the motor control panel and transmits it to the IoT edge gate module, and performs an alarm or cut-off control of a door or a breaker according to the control signal of the IoT edge gate module. The motor control panel comprising a; sensing and control module. The method of claim 8,
Further comprising an electric shock detection module for detecting the risk of electric shock of an operator approaching the motor control panel,
The electric shock detection module,
An AC interface unit converting the input AC power into DC power and reducing the voltage;
A safety terminal that is touched by an operator who approaches the motor control panel by hand;
A switching unit connected to the AC interface unit and the safety terminal to be turned on and off depending on whether the operator is at risk of electric shock when the operator touches the safety terminal;
An alarm unit for generating an emergency warning sound or an emergency warning lamp when the switching unit is turned on;
Includes; a wired/wireless module for transmitting a dangerous situation to the outside through wired or wireless when the switching unit is on,
When the switching unit is turned on, the door of the motor control panel is locked by using a door locking device electrically connected to the switching unit. The method of claim 8,
The current sensor module
A clip-shaped core that has a ring shape and allows the power line to pass through but open and close one side,
A hall sensor installed on one side of the core,
And a micro controller unit (MCU) configured to calculate and convert the measured value of the Hall sensor into a current value, and to transmit the current value of each terminal to the IoT edge gate module through an RS485 communication line. The method of claim 8,
The IoT edge gate module is an electric motor control panel, characterized in that for continuously updating a reference for an abnormal state at each stage generated through a correlation analysis using data measured by the motor control panel by the clouding server. The method of claim 8,
In addition, an authentication module that authenticates the operator to open the door of the motor control panel through RFID authentication using an RFID tag, NFC authentication using an NFC tag, or authentication through a password input to an HMI (human machine interface, touch panel) is added. Electric motor control panel comprising a. The method of claim 8,
The IoT edge gate module
A voltage monitoring IC for measuring a voltage input to the motor control panel;
A leakage current measuring unit for measuring the leakage current of the motor control panel;
A touch panel unit (HMI) that displays a state of the motor control panel and receives an operator's instruction;
The touch panel unit receives and processes the operator's instruction, and based on the measured motor control panel input voltage, leakage current in the motor control panel, voltage delivered to each terminal, and current of each terminal measured by the current sensor module, the motor A central processing unit that calculates the power quality of the control panel and the power quality at each terminal, determines whether the power is abnormal, performs an alarm or cut-off control based on this, and transmits the measured data to an external clouding server; And
And a storage unit for storing the various power quality and various data. The method of claim 13,
The leakage current measuring unit
A resistor array unit in which a number of resistors are connected in parallel according to the number of input voltages,
A motor control panel comprising: a switching unit that is turned on/off to selectively conduction according to an input voltage value, and a voltage sensor unit connected to ground to measure a voltage of a leakage current.

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