KR102309414B1 - Distribution line fault information collecting device and system including the same - Google Patents

Abstract

The present invention relates to a distribution line failure information collecting device capable of collecting failure information that has occurred or is likely to occur in a distribution line, and a system including the same. The failure information collection device includes a communication unit, a first sensor for sensing a first leakage current of a rod installed in a direction crossing the electric pole, a second sensor for sensing a second leakage current of a neutral wire installed on the electric pole, the neutral wire and A third sensor sensing a third leakage current of the ground line inlet to which the ground line is connected and at least one of the first to third leakage currents are used to generate status information about the electronic device installed on the electric pole, and the status information is and a processor for controlling the communication unit to be transmitted to a preset server.

Description

Distribution line fault information collecting device and system including the same

The present invention relates to a distribution line failure information collecting device capable of collecting failure information that has occurred or is likely to occur in a distribution line, and a system including the same.

Furthermore, the present invention relates to an Internet of Things (IoT)-based safety inspection device and method, and an integrated safety management system, and more particularly, to determine whether a failure occurs using a leakage current or a circulating current detected by an Internet of Things (IoT) sensor. It relates to a safety inspection device and method for detecting, and a safety integrated management system.

The switchgear is installed on the overhead distribution line and used to open and close the distribution line when necessary, such as repairing the failure of the distribution line, truce work, and changing the load.

The use of such switchgear is rapidly increasing in accordance with the increase in power demand, and in addition, safety performance and quality assurance of aging equipment are required.

In the switchgear, when an insulation failure occurs due to a metal foreign substance being mixed inside the device or a defect in the insulation material, partial discharge proceeds at the abnormal area and mechanical deterioration is eventually caused, resulting in insulation breakdown.

If the switchgear is installed in a residential area, there is a risk of an explosion accident due to a breakdown of the switchgear.

Rather, it may cause inconvenience depending on the power failure state of the consumer due to the failure of the switchgear. Such switchgear causes electrostatic failure due to its own factors due to defects such as external bushing cracks, body burnout, and mold cone connection failure.

For this reason, it is necessary to accurately identify the fault condition of the switchgear and to repair it promptly.

However, if it is assumed that one switchgear is installed per pole, it is not efficient when indiscriminately diagnosing unspecified switchgear, and there is a limit to managing all switchgear.

Therefore, in order to effectively manage the failure prevention and equipment diagnosis of the switchgear, it is necessary to develop a technology capable of detecting an abnormal state of the equipment in advance and predicting the failure.

In Korea, a method of supplying electricity to a three-phase device with four conductors uses a three-phase, four-wire Y-connected multi-grounding system in which one of the conductors is connected to a neutral point and the other three are connected to three phases each.

1A to 1C are exemplary views showing a conventional 3-phase 4-wire multi-grounding. Figure 1a transformer ground, Figure 1b is an overhead branch wire ground, Figure 1c shows the neutral wire and the iron wire. That is, in general, as can be seen from 1a to 1c, a ground wire is commonly connected to a steel wire, a device enclosure such as a transformer or a switchgear, a processing branch wire, and a neutral wire.

However, at this time, abnormal current may occur due to wire failure such as three-phase unbalance, short circuit, or ground fault.

On the other hand, sparks and fires in electrical installations cause serious problems.

Therefore, it is urgent to introduce a technology for a preventive diagnosis method for fire prevention.

It is difficult to predict the risk of fires occurring in electric wires with the diagnosis of processing equipment such as thermal imaging cameras, ultrasonic equipment, and optical cameras currently in use.

Currently, electrical safety experts regularly visit and conduct electrical safety inspections to prevent electrical disasters. However, the visit inspection has many limitations in preventing sudden electrical accidents due to the increase in absent households and a long inspection cycle.

In addition, due to the complexity and diversification of electrical facilities, electrical safety experts who perform safety inspections cannot know the status of all electrical facilities and it is difficult to predict the signs of accidents in advance. there is a limit to

In addition, various types of electrical accidents such as short circuit, blackout, and arc exist, and theoretically, the causes of occurrence of the types of electrical accidents are well known.

However, it is difficult to analyze the causes of each electric accident because there are not many studies on what factors can cause electric accidents in real situations.

On the other hand, in order to prevent electrical accidents, it is necessary to monitor electrical safety data in real time. In addition, data on many cases are needed to predict electrical accidents in advance through the analysis of electrical safety data.

However, the most core problem in data analysis for preventing electrical accidents is the lack of data for analysis. This is because the frequency of electrical accidents is not high and there is no data value measured in real time.

US 10-1543651 B1 US 10-1601605 B1 US 10-2008472 B1 US 10-0885847 B1

An object of the present invention is to predict the failure of the switchgear in advance and notify the control center by determining the degree of failure of the switchgear (failure state grade, expected replacement time) using the partial discharge size and leakage current size of the switchgear. To provide a failure information collection device and a system including the same.

The present invention is derived from such a technical background, and an Internet of Things (IoT)-based safety inspection device and method that can measure and monitor electrical safety information generated from electrical equipment in real time, and Internet of Things (IoT)-based safety It aims to provide an integrated management system.

In addition, the purpose is to provide an Internet of Things (IoT)-based safety inspection device and method that can stably transmit measured electrical safety information even in the event of a power outage, and an Internet of Things (IoT)-based integrated safety management system. .

The present invention relates to a distribution line failure information collecting device capable of collecting failure information that has occurred or is likely to occur in a distribution line, and a system including the same.

The failure information collecting device, the communication unit; a first sensor for sensing a first leakage current of the armrest installed in a direction crossing the electric pole; a second sensor for sensing a second leakage current of a neutral wire installed on the electric pole; a third sensor for sensing a third leakage current of a ground wire inlet to which the neutral wire and the ground wire are connected; and a processor for generating status information about the electronic device installed on the electric pole by using at least one of the first to third leakage currents, and controlling the communication unit to transmit the status information to a preset server.

According to an embodiment, the second sensor additionally senses the circulating current of the neutral wire, and the processor calculates a risk of failure based on a correlation between the first to third leakage currents and the circulating current, , the state information may include the failure risk.

According to an embodiment, the processor may include: a partial discharge measuring unit configured to measure a magnitude of a partial discharge using at least one of the first to third leakage currents; a leakage current measuring unit for measuring a magnitude of a leakage current using at least one of the first to third leakage currents; and a failure determination unit for determining the degree of failure of the switchgear using the magnitude of the partial discharge and the magnitude of the leakage current.

According to an embodiment, the failure determination unit uses a preset matrix in consideration of the correlation between the partial discharge and the leakage current to determine the intersection point of the partial discharge magnitude and the leakage current magnitude, and based on the intersection, the switchgear It is possible to determine the failure status class and the expected replacement time of the

Furthermore, there is provided a system including the distribution line failure information collecting device according to the above-described embodiment. The system includes a plurality of distribution line failure information collecting devices, each of which is arranged on different electric poles; and a distribution line failure point detection device for receiving state information of each pole from the plurality of distribution line failure information collecting devices, and searching for a failure point by using the plurality of received state information when a failure occurs.

According to one embodiment, each distribution line failure information collecting device calculates the risk of failure based on the correlation between the leakage current and the circulating current sensed in each electric pole, and the distribution line failure point detection device is a connection between each electric pole A relationship may be defined in a tree structure, and the failure point may be searched for with respect to any one pole having the highest failure risk in the tree structure.

An Internet of Things (IoT)-based safety inspection device according to an embodiment of the present invention includes a current measuring unit that receives a detection signal from at least one Internet of Things (IoT) sensor to measure a leakage current of a substrate, and the measured leakage current Alternatively, it is characterized in that it comprises a determination unit for determining whether a failure has occurred by using the circulating current.

On the other hand, in the Internet of Things (IoT)-based safety inspection method performed in the Internet of Things (IoT)-based safety inspection device, the current measuring unit receives a detection signal from at least one Internet of Things (IoT) sensor to receive a leakage current or circulation of the substrate. It is characterized in that it comprises the step of measuring the current and determining whether a fault has occurred using the measured leakage current or circulating current by the determination unit.

In addition, the Internet of Things (IoT)-based integrated safety management system according to an embodiment of the present invention receives a detection signal from at least one Internet of Things (IoT) sensor and measures a leakage current or a circulating current of a base material. A safety inspection device including a determination unit for determining whether a failure has occurred using the measured leakage current or circulating current, and a safety manager terminal that receives the determination result as to whether a failure occurs from the safety inspection device and provides it as visible data characterized by including.

The present invention can predict switch failure in advance and notify the control center by determining the degree of failure (failure state grade, expected replacement time) of the switch using the partial discharge size and leakage current size of the switchgear.

According to the present invention, by measuring and monitoring electrical safety information generated in electrical equipment in real time, it is possible to predict whether a failure occurs, and when a failure occurs, the Internet of Things (IoT) can quickly and accurately determine the location of the failure The effect of providing an integrated safety management system based on the safety inspection device and method and the Internet of Things (IoT) is derived.

In addition, it is possible to provide an Internet of Things (IoT)-based safety inspection device and method that can stably transmit measured electrical safety information even in the event of a power outage, and an Internet of Things (IoT)-based integrated safety management system.

1A to 1C are exemplary views showing a conventional 3-phase 4-wire multi-grounding
Figure 2a is a view for explaining the complete failure diagnosis collecting device is installed;
2B is a view for explaining a fault diagnosis collecting device according to an embodiment of the present invention;
3 is a block diagram for explaining the detailed configuration of the failure information collecting device of FIG. 2b
4 is a view for explaining the positions of the sensors provided in the failure information collecting device
5 is a flowchart illustrating a control method of a failure information collecting device according to an embodiment of the present invention;
6 is a conceptual diagram for explaining a system including a failure information collecting device according to an embodiment of the present invention;
7 is a block diagram illustrating the configuration of an Internet of Things (IoT)-based integrated safety management system according to an embodiment of the present invention;
8 is a flowchart of a safety inspection method based on the Internet of Things (IoT) according to an embodiment of the present invention;

Hereinafter, the embodiments disclosed in the present specification will be described in detail with reference to the accompanying drawings, but the same or similar components will be given the same reference numbers regardless of reference numerals, and redundant descriptions thereof will be omitted. The suffixes "module" and "part" for the components used in the following description are given or mixed in consideration of only the ease of writing the specification, and do not have a meaning or role distinct from each other by themselves. In addition, in describing the embodiments disclosed in the present specification, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in the present specification, the detailed description thereof will be omitted. In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in the present specification, and the technical spirit disclosed herein is not limited by the accompanying drawings, and all changes included in the spirit and scope of the present invention , should be understood to include equivalents or substitutes.

Terms including an ordinal number, such as first, second, etc., may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

When a component is referred to as being “connected” or “connected” to another component, it is understood that the other component may be directly connected or connected to the other component, but other components may exist in between. it should be On the other hand, when it is mentioned that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The singular expression includes the plural expression unless the context clearly dictates otherwise.

In the present application, terms such as "comprises" or "have" are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Figure 2a illustrates a use state in which the insulator 16 and the electric wire 17 are held in a right angle direction by the bracket 14 and the ball clasp 15 in the coupling hole 13 of the straight arm 10. It is a flat view.

Wancheol is one of the devices for supporting the installation of electric wires on the top of electric poles in order to supply electricity by processing to general homes and factories in substations. ) has a structure of That is, the arm steel for general long post consists of a rectangular support 11 with an open cross-sectional area at both ends, and the center of the rectangular support 11 has a long hole shape so that the arm steel band and adapter can be fastened with bolts and nuts. A bolt hole 12 is formed, and an insulator mounting part having a pair of coupling holes 13 formed therein is formed in the vicinity of both edges to install an overhead wire and an insulator, and is configured in a straight line as a whole.

2B is a diagram for explaining a fault diagnosis collecting device according to an embodiment of the present invention.

As shown in Figure 2b, the distribution line failure information collecting device (hereinafter referred to as 'failure information collecting device', 100) according to an embodiment of the present invention, the failure of the switchgear 30 installed in the overhead distribution line It diagnoses the degree and notifies the administrator remotely.

Here, the switch 300 may be a load switch used for opening and closing a distribution line installed in a 22.9 kV-y overhead distribution line.

In the switchgear 300, when the electric field of the main circuit part (conductor part) and the ground part is locally concentrated due to an internal or external factor, partial discharge occurs. Here, representative discharge sources are void discharge, interfacial discharge (side surface), and air discharge (corona). As such, when a partial discharge occurs in the switch 300, the insulating material is carbonized at the portion where the partial discharge occurs. Thereafter, when the area of the carbonized portion increases and the amount of partial discharge increases, the switch 300 leads to insulation breakdown (failure).

The switch 300 can check the insulation state through a shock wave withstand voltage test, a commercial frequency withstand voltage test, a partial discharge test, an insulation resistance measurement test, and the like. However, in the case of checking the insulation state of the switch 300 in the operating state, only the partial discharge test is possible.

Accordingly, the failure information collecting device 100 measures the size of the partial discharge of the switch 300 to check the insulation state of the switch 300 . That is, the failure information collection device 100 may predict the possibility of insulation breakdown by measuring the transition of the partial discharge charge amount.

However, in the switch 300, when the size of the partial discharge increases, a phenomenon in which the discharge portion is carbonized occurs. At this time, as the degree of carbonization in the discharge portion of the switchgear 300 increases, the magnitude of the leakage current also increases. In other words, the decrease in the insulation state of the switch 300 is a decrease in the insulation state of the conductor portion and the ground portion of the switch 300, and is accompanied by an increase in leakage current at the same earth voltage (13.2 kV).

Accordingly, the failure information collection device 100 diagnoses the failure degree of the switch 300 by measuring not only the size of the partial discharge, but also the size of the leakage current related to the carbonization degree appearing in the discharge part of the switch 300. . In this case, the failure information collecting device 100 does not check whether a failure occurs in the switch 300, but classifies the failure state of the switch 300 by grades such as normal, caution, and danger, or the switch 300. can predict the expected replacement time of

In addition, the frequency band of the partial discharge is a high frequency band, and the frequency band of the leakage current is a commercial frequency (60 Hz) band.

When the failure information collecting device 100 detects that the magnitude of the partial discharge and the leakage current increases at the same time through parallel measurement of high and low frequency bands, external noise or partial discharge generated from the peripheral equipment 200 of the switchgear 300 It is possible to predict the failure of the switchgear 300 by distinguishing it from . Here, the peripheral equipment 200 may be an insulator, an electric wire, LA, COS, or the like.

The failure information collecting apparatus 100 may receive reference information related to the correlation between the partial discharge size and the leakage current size from the control center (not shown in the drawing) in order to diagnose the degree of failure of the switchgear 300 .

The control center may perform big data analysis by using the collected data on the magnitude of partial discharge and leakage current measured by the switch 300 installed in various regions. Accordingly, the control center may be able to derive reference information for diagnosing the degree of failure of the switch 300 through the magnitude of the partial discharge and leakage current measured by the switch 300 .

On the other hand, the failure information collecting device 100 may determine whether partial discharge occurs inside the switch 300 or outside the switch 300, that is, whether the partial discharge occurs in the surrounding equipment 200.

FIG. 3 is a diagram for describing the failure information collecting device of FIG. 2B in more detail.

Referring to FIG. 3 , the failure information collection device 100 may include a sensor unit 110 , a partial discharge measurement unit 120 , a leakage current measurement unit 130 , a failure determination unit 140 , and a communication unit 150 . can The partial discharge measurement unit 120 , the leakage current measurement unit 130 , and the failure determination unit 140 may be implemented by at least one processor (not shown) provided in the failure information collection device 100 . have.

The sensor unit 110 includes an HFCT sensor 111 for detecting (sensing) the partial discharge, and a leakage current sensor 112 for detecting (sensing) a leakage current. That is, the HFCT sensor 111 is a high-frequency current transformer (High Frequency Current Transformer) sensor, and detects a high-frequency current in an electromagnetic induction method. The leakage current sensor 112 detects a leakage current in the enclosure of the opener 300 using a ground current diagnosis technique.

The partial discharge measuring unit 120 measures the magnitude of the partial discharge detected by the HFCT sensor 111 of the sensor unit 110 . To this end, the partial discharge measuring unit 120 includes a first filter unit 121 , a first amplifying unit 122 , a peak detecting unit 123 , and an A/D converting unit 124 .

The first filter unit 121 filters a signal of a nearby noise source such as an air wave or a mobile phone in the frequency band (high frequency band) of the partial discharge. The first filter unit 121 filters a frequency band of 1 to 50 MHz.

The first amplifying unit 122 amplifies the magnitude of the partial discharge that has passed through the first filter unit 121 to a measurable state.

The peak detector 124 detects the maximum value (peak) of the partial discharge that is amplified by the first amplifier 122 and appears instantaneously.

Here, the method of measuring the area of the open unit 300 is accurate when measuring the partial discharge, but the peak detection unit 123 is used to detect the maximum value of the partial discharge in consideration of the high price in the case of the area measurement method. do.

The A/D conversion unit 124 converts the maximum value of the partial discharge detected by the peak detection unit 123 from an analog signal to a digital signal and transmits it to the failure determination unit 140 .

Meanwhile, the leakage current measuring unit 130 measures the magnitude of the leakage current detected by the leakage current sensor 112 of the sensor unit 110 (ie, the effective value of the leakage current).

On the other hand, the leakage current measurement unit 130 measures the magnitude of the leakage current (ie, the effective value of the leakage current) sensed by the leakage current sensor 112 of the sensor unit 110 .

The second filter unit 131 filters the signal of the surrounding noise source in the frequency band (low frequency band) of the leakage current. The second filter unit 131 filters a frequency band of 1 kHz or less.

The second amplifying unit 132 amplifies the leakage current that has passed through the second filter unit 131 to a measurable state.

The current measuring unit 133 measures a root mean square (RMS) of the leakage current amplified by the second amplifying unit 132 . At this time, the current measurement unit 133 transmits the effective value of the leakage current to the failure determination unit 140 .

The failure determination unit 140 uses the partial discharge size transmitted from the partial discharge measurement unit 120 and the leakage current size transmitted from the leakage current measurement unit 130 to the degree of failure of the rectifier 300 (that is, fault condition grade, expected replacement time).

In this case, the failure determination unit 140 sets in advance a matrix for determining the degree of failure in consideration of the correlation between the partial discharge and the magnitude of the leakage current. Such a matrix is a large amount of experimental data (measured values) collected from the opener 300 in a steady state, the opener 300 from which defects were extracted, and the opener 300 in which binding was artificially generated. It is prepared through data processing and judgment technology (eg, analysis method using artificial intelligence).

4 is a view for explaining the positions of the sensors provided in the failure information collecting device.

The failure information collection device 100 may include at least three sensors.

The first sensor (circular diagram type 1) senses the first leakage current of the armrest installed in the direction crossing the electric pole.

A second sensor (circular diagram type 2) senses a second leakage current of a neutral wire installed on the electric pole. Furthermore, the second sensor may additionally sense the circulating current of the neutral wire.

The third sensor (circular diagram 3) senses the third leakage current of the ground wire inlet to which the neutral wire and the ground wire are connected.

The processor generates state information on the electronic device installed on the electric pole by using at least one of the first to third leakage currents, and controls the communication unit to transmit the state information to a preset server.

Furthermore, the processor may calculate a risk of failure based on a correlation between the first to third leakage currents and the circulating current, and the failure risk may be included in the state information.

5 is a flowchart illustrating a control method of a failure information collecting device according to an embodiment of the present invention.

The failure information collecting device 100 detects (sensing) the partial discharge and leakage current of the switch 300 (S201).

Thereafter, when the magnitude of partial discharge and leakage current of the switchgear 300 is measured (S202, S203), the failure information collecting device 100 determines the failure state grade and the expected replacement time of the switchgear 300 using a matrix prepared in advance. do (S204). At this time, the failure information collecting device 100 checks the point of the corresponding intersection on the matrix to confirm the grade of the failure state of the switchgear 300 , and confirms the expected replacement time of the switchgear 300 in the area of the corresponding intersection.

In addition, when the partial discharge of the switchgear 300 is measured (S202), the failure information collecting device 100 determines whether the partial discharge is an internal discharge or an external discharge as a partial discharge generation type (S206).

Thereafter, the failure information collection device 100 transmits the failure diagnosis result of the switch 300 to the control server (S205).

According to the present invention, a plurality of equipment can be diagnosed with a single diagnostic method, and the cause of a failure can be identified and prevented in advance based on the leakage current, and a failure section can be identified. When a failure occurs in the section where the switchgear is not installed, it is also possible to provide information about the occurrence of a failure.

6 is a conceptual diagram for explaining a system including a failure information collecting device according to an embodiment of the present invention.

The system includes a plurality of distribution line failure information collecting devices and at least one distribution line failure point detection device.

A plurality of distribution line failure information collecting devices are respectively arranged on different electric poles. Each distribution line failure information collecting device calculates the risk of failure based on the correlation between the leakage current and the circulating current sensed by each electric pole.

The distribution line failure point detection apparatus receives the state information of each pole from the plurality of distribution line failure information collecting apparatuses, and when a failure occurs, the failure point is searched for by using the received plurality of state information.

The distribution line failure point detection device defines a connection relationship between each electric pole in a tree structure, and searches for the failure point around any one electric pole having the highest failure risk in the tree structure.

7 is a block diagram illustrating a configuration of an Internet of Things (IoT)-based integrated safety management system according to an embodiment of the present invention.

In one embodiment, the Internet of Things (IoT)-based safety integrated management system 1 provides a user interface to predict or determine whether a failure occurs using a detection signal using an IoT sensor, and to check the location of the failure It may include a service platform that

The safety inspection device 700 monitors leakage current, circulating current, overcurrent, overvoltage, and the like, which are major causes of electrical accidents in real time, and transmits electrical risk factor information to the safety manager terminal 900 .

7, the safety check device 700 receives a detection signal from at least one Internet of Things (IoT) sensor 20 to measure the leakage current or circulating current of the substrate and the current measurement unit 710 and the measured and a determination unit 720 that determines whether a failure has occurred using the leakage current or the circulating current.

Leakage current refers to a weak current that flows when a voltage is applied to an insulator. There are things flowing inside and flowing through the surface, but those flowing through the surface are usually larger, and this is called surface leakage current.

This differs greatly depending on the internal state, the state of the surface, and the shape. There are many deviations from Ohm's law, and it is also influenced by conditions of attention such as internal temperature or surface humidity.

At this time, the reasons for the occurrence of leakage current are leakage current due to electronic device noise filter, leakage current due to capacitance between line and ground, leakage current due to leakage current or ground fault, circulating current due to closed loop formation of ground circuit, There is an unbalanced load current flowing through the multi-ground system.

The safety inspection device 700 according to an embodiment may measure the leakage current by using the IoT sensor 800 installed in the overhead power distribution line. And the determination unit 720 may determine the risk of failure based on the information acquired from the IoT sensor 800 . The safety inspection device 700 may analyze the correlation between the occurrence of a failure and the leakage current or circulating current, and use the result detected by the IoT sensor 800 to determine or predict whether or not a failure has occurred and the location of the failure.

Referring back to FIG. 4 , the IoT sensor 800 may be provided at the lower end (①) of the joint connection part, such as a steel case.

Alternatively, it may be provided in the neutral wire (②) to measure the leakage current and the circulating current flowing in the neutral wire. Alternatively, it may be installed in the ground wire inlet (③), which is a point after the ground wire is connected to the neutral wire.

The IoT sensor 800 may be installed in at least one of the locations shown in FIG. 4 .

A detection signal is received from at least one or more IoT sensors 800 installed as shown in FIG. 4 , and leakage current and circulation current of each equipment are measured.

In one aspect, the predicting unit 730 of the safety inspection device 700 may predict a failure occurrence factor according to a characteristic value of a leakage current or a circulating current measured by the current measuring unit 710 . For example, when the leakage current value measured first exceeds the set range, the leakage current measurement data is additionally analyzed. In addition, it is possible to analyze the failure factors for each equipment and guide the failure risk in advance through the safety manager terminal 900 .

The prediction unit 730 may implement a failure symptom determination algorithm according to the leakage current characteristic value so as to predict the failure occurrence factor according to the characteristic value of the leakage current and the circulating current. In this case, the failure symptom determination algorithm can be applied in various ways.

For example, the prediction unit 730 may measure at least one of a magnitude, a phase, an effective value, and an invalid value of a current and analyze the measured value using a failure algorithm to determine a failure abnormality.

In addition, the location determining unit 740 of the safety inspection device 700 determines the fault location according to the characteristic value of the leakage current measured by the current measuring unit 710 .

Based on the analysis result of leakage current data detected by the IoT sensor 800 when the DAS FI occurs according to the occurrence of a failure, failure factors for each equipment are analyzed. And the fault point is detected by identifying and analyzing leakage current data for each equipment. Accordingly, it is possible to provide a clue for accurately grasping the faulty section when a fault occurs in an actual wire by identifying the faulty section.

Accordingly, it is possible to easily determine whether or not a fault has occurred in the distribution line and the location of the fault, and it is possible to quickly deal with it.

The prediction unit 730 and the location determination unit 740 of the safety inspection device 700 provide information on the leakage current value measured in real time, the failure symptom determination result, and the failure location information to the safety manager terminal 900 in real time. .

The safety manager terminal 900 receives the determination result as to whether a failure has occurred from the safety inspection device 700 and provides it as visible data.

Safety manager terminal 900 is an example desktop PC (desktop PC), slate PC (slate PC), notebook computer (notebook computer) PMP (Portable Multimedia Player), ultrabook (ultrabook), a wearable device (wearable device, for example) For example, a watch-type terminal (smartwatch), a glass-type terminal (smart glass), a head mounted display (HMD), etc. may be applicable. Of course, the terminal to which the present invention is applicable is not limited to the above-described type, and may be interpreted to include all terminals capable of communicating with an external device.

In addition, for example, as a wireless communication device that ensures portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) terminal, smartphone ), it is natural that all kinds of handheld-based wireless communication devices such as a smart pad, a tablet PC, and the like may be included.

In an embodiment, the safety manager terminal 900 displays a point where a failure is predicted as a result of detecting the leakage current in a different color so that the manager can detect that the device is not operating normally. In addition, when FI occurs, a clue is provided to determine the fault occurrence section by identifying the location of the fault and displaying the fault point. Therefore, the administrator can quickly and accurately identify the location of the failure.

In addition, when a failure occurs in the section where the switchgear is not installed, information on the location of the failure can be provided.

8 is a flowchart of a safety inspection method based on the Internet of Things (IoT) according to an embodiment of the present invention.

First, in the Internet of Things (IoT)-based safety inspection method performed in the Internet of Things (IoT)-based safety inspection device, the current measuring unit receives a detection signal from at least one Internet of Things (IoT) sensor (S500) and the leakage of the substrate A current or a circulating current is measured (S510).

At this time, the causes of leakage current are leakage current due to noise filter of electronic equipment, leakage current due to capacitance between line and ground, leakage current due to leakage current or ground fault, and circulating current due to closed loop formation of ground circuit. , and unbalanced load currents flowing through multiple grounding systems.

The safety check method according to an embodiment may measure a leakage current by using an IoT sensor installed on an overhead power distribution line. And based on the information acquired from the IoT sensor, the risk of failure can be determined.

The determination unit determines whether a failure has occurred using the measured leakage current or circulating current (S520).

In the safety check method, the judgment unit analyzes the correlation between the occurrence of a failure and the leakage current or circulating current, and uses the result detected by the IoT sensor to determine or predict whether a failure has occurred and the location of the failure.

Thereafter, the prediction unit predicts the cause of the failure according to the characteristic value of the leakage current or the circulating current measured by the current measurement unit ( S530 ).

The causes of leakage current are leakage current due to electronic device noise filter, leakage current due to capacitance between line and ground, leakage current due to leakage current or ground fault, circulating current due to closed loop formation of ground circuit, There is an unbalanced load current flowing through a multi-ground system.

The safety check method according to an embodiment may measure a leakage current by using an IoT sensor installed on an overhead power distribution line. In addition, the prediction unit may determine the risk of failure based on the information obtained from the IoT sensor. In the safety inspection method, the prediction unit analyzes the correlation between the occurrence of a failure and the leakage current or circulating current, and can determine or predict whether a failure has occurred and the location of the failure by using the result detected by the IoT sensor.

The prediction unit may implement an algorithm for judging fault abnormalities according to the leakage current characteristic value so as to predict a failure occurrence factor according to the characteristic value of the leakage current and the circulating current. In this case, the failure symptom determination algorithm can be applied in various ways.

For example, the predictor may measure at least one of a magnitude, a phase, an effective value, and an invalid value of a current and analyze the measured value using a failure algorithm to determine a failure abnormality.

Then, the position determining unit determines the fault location according to the characteristic value of the leakage current measured by the current measuring unit (S540).

At this time, by providing at least some of the information on whether a failure has occurred, the cause of the failure, and the location of the failure to the safety manager terminal in real time, the safety manager can quickly predict and repair the failure of the distribution line.

The safety manager terminal displays a different color at the point where the failure is predicted as a result of the leakage current detection so that the manager can detect that it is not operating normally.

In addition, when FI occurs, a clue is provided to determine the fault occurrence section by identifying the location of the fault and displaying the fault point. Therefore, the administrator can quickly and accurately identify the location of the failure.

In addition, when a failure occurs in the section where the switchgear is not installed, information on the location of the failure can be provided.

The present invention can be embodied as computer-readable code on a medium in which a program is recorded. The computer-readable medium includes all kinds of recording devices in which data readable by a computer system is stored. Examples of computer-readable media include Hard Disk Drive (HDD), Solid State Disk (SSD), Silicon Disk Drive (SDD), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. There is also a carrier wave (eg, transmission over the Internet) that is implemented in the form of. In addition, the computer may include a terminal.

Accordingly, the above detailed description should not be construed as restrictive in all respects but as exemplary. The scope of the present invention should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the present invention are included in the scope of the present invention.

100: fault diagnosis device 110: sensor unit
111: HFCT sensor 111a: left part
111b: right side 112: leakage current sensor
120: partial discharge measuring unit 121: first filter unit
122: first amplification unit 123: peak detection unit
124: A/D conversion unit 130: leakage current measurement unit
131: second filter unit 132: second amplification unit
133: current measuring unit 140: fault determination unit
150: communication unit 200: peripheral equipment
300: switch

Claims (18)

communication department;
A first sensor for sensing a first leakage current of the arm is installed in a direction crossing the electric pole;
a second sensor for sensing a second leakage current of a neutral wire installed on the electric pole;
a third sensor for sensing a third leakage current of a ground wire inlet to which the neutral wire and the ground wire are connected; and,
A processor for generating status information about the electronic device installed on the electric pole by using at least one of the first to third leakage currents, and controlling the communication unit to transmit the status information to a preset server,
The second sensor further senses the circulating current of the neutral wire,
The processor is
A distribution line, characterized in that the first to third leakage currents sensed at different positions of the electric pole and the degree of failure based on the correlation between the circulating current and the circulating current are calculated and state information including the risk of failure is transmitted. Fault information collection device. delete According to claim 1,
The processor is
a partial discharge measuring unit for measuring the magnitude of the partial discharge using at least one of the first to third leakage currents;
a leakage current measuring unit for measuring a magnitude of a leakage current using at least one of the first to third leakage currents; and
and a failure determination unit for determining the degree of failure of the switchgear using the magnitude of the partial discharge and the magnitude of the leakage current. 4. The method of claim 3,
The fault determination unit,
Using a matrix set in advance in consideration of the correlation between partial discharge and leakage current, the intersection of the magnitude of the partial discharge and the magnitude of the leakage current is checked, and the failure state grade of the switchgear and the expected replacement time are determined based on the intersection point Distribution line failure information collection device, characterized in that. A plurality of distribution line failure information collecting devices disclosed in claim 1, each of which is arranged on different electric poles; and
and a distribution line failure point detection device for receiving state information of each pole from the plurality of distribution line failure information collecting devices, and searching for a failure point using the plurality of received state information when a failure occurs. 6. The method of claim 5,
Each distribution line failure information collection device calculates the risk of failure based on the correlation between leakage current and circulating current sensed by each electric pole,
The distribution line failure point detection device defines the connection relationship between each electric pole in a tree structure, and the system characterized in that it searches for the failure point around any one electric pole having the highest failure risk in the tree structure. In the safety inspection device comprising the distribution line failure information collection device of claim 1,
The first sensor to the third sensor,
It is an Internet of Things (IoT) sensor,
a current measuring unit for receiving detection signals from the IoT sensors and measuring the first to third leakage currents; and,
Internet of Things (IoT)-based safety inspection device, characterized in that it comprises a determination unit for determining whether a failure has occurred using the measured leakage current or circulating current. 8. The method of claim 7,
The Internet of Things (IoT)-based safety inspection device, characterized in that it further comprises; a predictor for predicting a failure occurrence factor according to the characteristic value of the leakage current or the circulating current measured by the current measurement unit. 8. The method of claim 7,
The Internet of Things (IoT)-based safety inspection device, characterized in that it further comprises; 8. The method of claim 7,
The at least one Internet of Things (IoT) sensor is an Internet of Things (IoT)-based safety inspection device, characterized in that it is provided at the lower end of the arm. 8. The method of claim 7,
The at least one Internet of Things (IoT) sensor is an Internet of Things (IoT)-based safety inspection device, characterized in that it is provided in the neutral wire. 8. The method of claim 7,
The at least one Internet of Things (IoT) sensor is an Internet of Things (IoT)-based safety inspection device, characterized in that it is provided at the ground wire inlet. In the Internet of Things (IoT)-based safety inspection method performed in the Internet of Things (IoT)-based safety inspection device disclosed in claim 7,
measuring, by the current measuring unit, the first to third leakage currents or circulating currents by receiving detection signals from the Internet of Things (IoT) sensors; and,
and determining, by the determination unit, whether a failure has occurred by using the measured leakage current or circulating current. 14. The method of claim 13,
Internet of Things (IoT)-based, characterized in that the predicting unit for predicting the failure occurrence factor further comprises the step of predicting the failure occurrence factor according to the characteristic value of leakage currents or circulating current measured by the current measurement unit. How to check safety. 14. The method of claim 13,
Internet of Things (IoT)-based safety inspection method, characterized in that it further comprises the step of determining, by a location determining unit for determining the location of the failure, the location of the failure according to the characteristic values of the leakage currents measured by the current measurement unit. The Internet of Things (IoT)-based safety inspection device disclosed in claim 7; and,
The Internet of Things (IoT)-based integrated safety management system, characterized in that it comprises a safety manager terminal that receives the determination result of whether a failure has occurred from the safety inspection device and provides the visible data. 17. The method of claim 16,
The safety check device,
The Internet of Things (IoT)-based integrated safety management system, characterized in that it further comprises a prediction unit for predicting a failure occurrence factor according to the characteristic value of the leakage current or the circulating current measured by the current measurement unit. 17. The method of claim 16,
The safety check device,
The Internet of Things (IoT)-based integrated safety management system, characterized in that it further comprises a location locator for locating a fault location according to the characteristic value of the leakage current measured by the current measuring unit.

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