KR101865086B1 - Fault data analysis, internal abnormality condition monitoring, diagnosis function embedded switchgear with fault monitoring-diagnosis controller - Google Patents

Fault data analysis, internal abnormality condition monitoring, diagnosis function embedded switchgear with fault monitoring-diagnosis controller Download PDF

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KR101865086B1
KR101865086B1 KR1020170152526A KR20170152526A KR101865086B1 KR 101865086 B1 KR101865086 B1 KR 101865086B1 KR 1020170152526 A KR1020170152526 A KR 1020170152526A KR 20170152526 A KR20170152526 A KR 20170152526A KR 101865086 B1 KR101865086 B1 KR 101865086B1
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unit
voltage
monitoring
diagnosis
fault
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KR1020170152526A
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Korean (ko)
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심승용
양필석
김상현
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(주) 동보파워텍
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/185—Electrical failure alarms
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B3/00—Audible signalling systems; Audible personal calling systems
    • G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
    • H02B13/00—Arrangement of switchgear in which switches are enclosed in, or structurally associated with, a casing, e.g. cubicle
    • H02B13/02—Arrangement of switchgear in which switches are enclosed in, or structurally associated with, a casing, e.g. cubicle with metal casing
    • H02B13/025—Safety arrangements, e.g. in case of excessive pressure or fire due to electrical defect

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Engineering & Computer Science (AREA)
  • Electromagnetism (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

The present invention relates to a switchgear having an embedded fault monitoring and diagnostic device with fault data analysis, internal abnormality condition monitoring, and diagnosis functions. According to the present invention, the switchgear comprises: a function storing voltage, current, and contact data before/after the accident in a memory inside a fault monitoring and diagnosis device when a breaker trip operation occurs or under voltage is detected due to short circuit and ground fault accidents in customer electric equipment receiving power from a power grid of an electric power company, and checking occurrence date, and the magnitude and an accident waveform of accident voltage/current through a color graphic liquid crystal display (LCD) as necessary to perform accident analysis; and an all-time monitoring and diagnosis function using an ultrahigh frequency (UHF) sensor, a tertiary vibration acceleration sensor, a temperature/humidity sensor, and a fault monitoring and diagnosis device when an abnormal state, such as insulation degradation, arc, flame, overheat, vibration/shock, door opening in a live line state, and the like, occurs inside the switchgear. Accordingly, using such function, fault analysis, risk display, buzzer alarm, breaker control, voice alarm, and remote monitoring are performed, thereby being able to stabilize power supply, extend a device line, and enhance user safety. According to the present invention, the switchgear comprises a transformer, the UHF sensor, the tertiary vibration and acceleration sensor, the temperature/humidity sensor, and the fault monitoring/diagnosis device.

Description

[0002] FAULT DATA ANALYSIS, INTERNAL ABNORMALITY CONDITION MONITORING, DIAGNOSIS FUNCTION EMBEDDED SWITCHGEAR WITH FAULT MONITORING-DIAGNOSIS CONTROLLER WITH FAULT MONITORING DIAGNOSIS CONTROLLER,

This embodiment relates to a switchboard with a fault monitoring and diagnosis apparatus having an accident data analysis and an internal abnormality monitoring and diagnosis function, and it is applicable to a host electric power facility which receives electric power from a KEPCO power distribution system, Voltage, current, and contact data before and after the accident in case of under voltage or under voltage detection is stored in the internal memory of the fault monitoring diagnostic device. UHF detection sensor, 3-axis vibration acceleration sensor, temperature / humidity sensor in case of abnormal condition such as insulation deterioration, arc, flame, overheat, vibration / shock, And fault monitoring Diagnosis function with constant monitoring and diagnosis function, fault analysis, danger display, buzzer alarm, breaker control, sound It relates to an alarm and performs remote monitoring and stabilization of power supply, life extension, and a fault monitoring device diagnostic device integrated switchgear comprising a user that can improve the safety accident data analysis and internal abnormality monitoring and diagnostics.

In order to increase the capacity of the facility due to the increase in the power consumption of the industrial site and the increase of the information equipment used in the customer, it is necessary to receive the extra high voltage power from KEPCO and convert it into the high pressure and low pressure power, The installation of switchboards, which are facilities, is increasing, and they are installed and operated in various ways by high voltage switchboard, low voltage switchboard, motor control panel, and distribution board depending on the size, use, and location of voltage used.

However, in the past, there have been various types of facility accidents such as device burnout, short circuit, and ground fault due to increase in installation and capacity of electric power facilities regardless of voltage magnitudes such as high voltage, high voltage and low voltage. Inside the enclosed structure, overload, thermal deterioration due to temperature rise of electric power equipment, electrical deterioration due to electric field concentration, mechanical deterioration due to mechanical stress, insulation failure due to environmental deterioration over time or place, overload, vibration / Equipment accidents due to shocks are generated, and it is spread in blackouts and fire accidents.

In addition, after the occurrence of an accident, it takes a lot of time and high cost to repair work. Therefore, if a power system accident occurs due to external factors, it should be used as data for storing and analyzing accident data, , Preventive diagnosis technology that can monitor and diagnose signs such as insulation deterioration, arc, flame, overheat, vibration / shock, live door openness of power devices which are internal factors of the switchgear should be applied inside each switchgear.

However, the conventional switchgear can not store and analyze accident data when a power outage occurs due to a power system accident, and does not know the cause of the accident. It is inevitable to carry out a restoration.

In addition, insulation deterioration, which is a phenomenon in which initial property values are altered or damaged due to long-term exposure to heat, moisture, overload and environmental stress, is generated in the electric power equipment installed in the power plant, Frequent accidents are caused by raising the temperature of the equipment and spreading by arc, spark or overheating, leading to electric fire.

Therefore, many researches have been carried out for analyzing accident data in case of electric power system accident, in order to proactively prevent such factors as insulation deterioration, arc, flame, overheating, vibration / shock, .

As an example of technology for monitoring and diagnosing deterioration of electric power equipment generated in a power plant and switchgear, Patent Document 10-1625087 discloses an electric equipment fault diagnosis apparatus based on harmonic analysis.

The above-mentioned technique includes a measuring device module for measuring the current flowing from the ground of the electric equipment device through the CT; A database module (MySQL) for receiving and storing data of the current measured by the measurement device module at regular time intervals; The data of the measured current stored in the database module is applied to a polynomial-based radial basis function neural network (pRBFNNs) algorithm based on FCM (Fuzzy C-means) An intelligent algorithm analysis diagnostic module that analyzes waveform patterns of harmonics and seventh harmonics and diagnoses failures according to them; And a web-based GUI (Graphic User Interface) module for displaying a user-controlled and analyzed diagnosis result of the intelligent algorithm analysis diagnostic module so that the user can confirm the diagnosis result.

However, the above-described technology is a technology for detecting the current flowing through the grounding cable of the power plant by CT and diagnosing the failure of the power equipment using the harmonic waveform analysis algorithm. In this case, And various faults such as insulation deterioration, arc, spark, overheat, vibration / shock, and open door of the live state which can be generated inside the switchgear can not be monitored in advance in the field or remote place, Since only harmonic waveforms are analyzed and diagnosed, it is impossible to store and analyze power data before and after an accident when a power system accident occurs.

Therefore, it has proposed a switchboard with built-in fault monitoring and diagnostics, which includes accident data analysis, internal abnormality monitoring, and diagnostics that can stabilize power supply, extend equipment life, and improve user safety.

Korean Registered Patent: Registered Patent Publication No. 10-1625087

In order to solve the above-mentioned problems, the present embodiment is characterized in that when a circuit breaker trip operation due to a short circuit, a ground fault, or the like, or an under voltage is detected, The contact data is stored in the internal memory of the fault monitoring and diagnosis device, and it is possible to carry out the accident analysis by checking the date and time of occurrence, the accident voltage / current size, and the accident waveform by using the color graphic LCD.

In addition, UHF sensor, 3-axis vibration acceleration sensor, temperature and humidity sensor and failure monitoring diagnostic system are used for abnormal conditions such as insulation deterioration, arc, spark, overheat, vibration / shock, , Diagnosis function, failure analysis, danger display, buzzer alarm, breaker control, voice alarm and remote monitoring are performed to stabilize power supply, extend device life, and improve user safety.

According to one embodiment, there is provided a switchboard with built-in fault monitoring and diagnosis apparatus having accident data analysis and internal abnormality monitoring and diagnosis functions.

In the present invention, the generic term of a high-voltage switchboard, a low-voltage switchboard, a motor control board, and a distribution board is defined as a switchboard.

At this time, the faults monitoring and diagnostic system equipped with fault diagnosis and internal abnormality monitoring and diagnosis function, the power and high voltage power supplied to the customer can be measured at the voltage A UHF sensor that senses the frequency of the ultra-high frequency band generated by the insulation deterioration of the power equipment installed in the switchgear, and a UHF sensor that is installed in the switchboard enclosure, and when the abnormal vibration applied to the enclosure occurs, A three-axis acceleration sensor capable of measuring the acceleration in the X, Y and Z directions, a temperature and humidity sensor for measuring the temperature and humidity inside the switchgear, and a voltage / current input / And measures the power value, and when a short circuit occurs in the electric equipment of the customer, a circuit breaker trip operation due to a ground fault or a low voltage The voltage, current, and contact data before and after the instruction accident are stored in the memory, and the failure analysis information on the occurrence date and time, the magnitude of the accident voltage / current, and the accident waveform are output to the display screen, and the UHF detection sensor, , Diagnoses the abnormal state when the reference data based on the sensing data collected from the temperature and humidity sensor is deviated, and diagnoses the fault and provides the user with remote monitoring using danger display, buzzer alarm, breaker control, voice alarm and Ethernet communication. .

In this case, the fault diagnosis diagnostic apparatus, which is a core configuration of the present invention, comprises an AI module, which is composed of a transformer, a current transformer, a filter, and an amplifier, and receives and converts the voltage and current converted from the transformer; A first ADC (Analog to Digital Converter) for converting the analog voltage and current converted by the AI module into a digital signal; A memory unit for storing power data before and after an accident collected by the AI module; An RF module configured by a high pass filter (HPF) and a low pass filter (LPF) for receiving an electromagnetic wave signal from the UHF sensor and performing modulation; A second ADC (Analog to Digital Converter) for converting an electromagnetic wave signal modulated by the RF module into a digital signal; A first RS485 communication module for acquiring X, Y and Z axis data measured by the three-axis vibration acceleration sensor; A second RS485 communication module for acquiring temperature and humidity data measured by the temperature / humidity sensor; A Universal Asynchronous Receiver / Transmitter (UART) connected to the first RS485 communication module and the second RS485 communication module for providing the measured X, Y and Z axis data and temperature and humidity data to the following DSP; The power factor correcting unit receives the digital signal output from the first ADC and performs an internal calculation to transmit the power value of at least one of a phase voltage, a line voltage, a phase current, a frequency and an effective power to the MMI unit, And outputs the failure analysis information to the MMI unit. The digital signal output from the second ADC is divided into a time domain and a frequency domain, and the TF-MAP Time-frequency MAP), and transmits the analyzed result to the MMI unit for display output. The X, Y, and Z-axis data measured by the three-axis acceleration sensor are acquired from the UART, Analyzing the progress on the table and transmitting it to the MMI section for display output, The data is acquired from the UART and compared with the set temperature and humidity values and transmitted to the MMI unit for display output. The DO unit is contacted to issue a site alarm, voice alarm is issued via the VO unit, And a DSP (Digital Signal Processor) for carrying out the present invention.

As described above, in the present embodiment, voltage, current, and contact data before and after an accident are broken when a circuit breaker trip operation due to a short circuit, a ground fault or the like, or an under voltage is detected in a consumer electric equipment supplied with power from a KEPCO power distribution system It is stored in the internal memory of the surveillance system, and it can be used for accident analysis by checking the date and time of occurrence, the size of the accident voltage / current, and the accident waveform by the color graphic LCD.

In addition, UHF sensor, 3-axis vibration acceleration sensor, temperature and humidity sensor and failure monitoring diagnostic system are used for abnormal conditions such as insulation deterioration, arc, spark, overheat, vibration / shock, , Diagnosis function, failure analysis, danger display, buzzer alarm, breaker control, voice alarm and remote monitoring are performed to stabilize the power supply, extend the lifespan of the device, and improve user safety.

FIG. 1 and FIG. 2 are an external configuration and an internal configuration view of a switchboard having a failure monitoring diagnostic apparatus, which includes an accident data analysis and an internal abnormal status monitoring and diagnosis function according to an embodiment of the present invention.
3 is a block diagram of a UHF detection sensor applied to a switchboard with a failure monitoring diagnostic apparatus equipped with an accident data analysis and internal abnormality monitoring and diagnosis function according to an embodiment of the present invention.
FIG. 4 is a configuration diagram of a three-axis vibration acceleration sensor applied to a switchboard having a failure monitoring diagnostic apparatus equipped with an accident data analysis and internal abnormality monitoring and diagnosis function according to an embodiment of the present invention.
FIG. 5 is a circuit diagram of a three-axis vibration acceleration sensor applied to a switchboard having a failure monitoring diagnostic apparatus having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.
FIG. 6 is a block diagram of a temperature and humidity sensing sensor applied to a switchboard having a fault monitoring and diagnosing apparatus having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention. FIG.
FIG. 7 is a circuit diagram of a temperature and humidity sensing sensor applied to a switchboard having a failure monitoring and diagnosis device having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention. FIG.
FIG. 8 is an external view of a fault monitoring and diagnosis apparatus applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention. FIG.
9 is a diagram showing an example of a real time power data analysis waveform of a fault monitoring and diagnosis apparatus applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.
10 is an exemplary view of an accident data analysis screen of a failure monitoring diagnostic apparatus applied to a switchboard having a fault monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.
FIG. 11 is an internal block diagram of a failure monitoring and diagnosis apparatus applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention. FIG.
FIG. 12 is a block diagram of an RF module of a failure monitoring and diagnosis apparatus applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis, internal abnormality monitoring, and diagnosis functions according to an embodiment of the present invention.
FIG. 13 is an internal block diagram of a DSP of a failure monitoring diagnostic device applied to a switchboard having a failure monitoring diagnostic device with accident data analysis, internal abnormality monitoring, and diagnosis functions according to an embodiment of the present invention.
FIG. 14 is an exemplary view of a TF-MAP analysis screen of a failure monitoring diagnostic apparatus applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention; FIG.
FIG. 15 is a diagram illustrating an example of a corrected mercurial intensity degree table of a failure monitoring diagnostic apparatus applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention; FIG.
16 is a view showing an example of a temperature characteristic curve of a failure monitoring diagnostic apparatus applied to a switchboard having a failure monitoring diagnostic apparatus equipped with an accident data analysis and internal abnormality monitoring and diagnosis function according to an embodiment of the present invention.
17 is an exemplary diagram of an initial screen of an upper program of a fault monitoring and diagnosis apparatus applied to a faucet monitoring and diagnosing apparatus built-in type switchboard having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals are used to designate identical or similar elements, and redundant description thereof will be omitted.

In the following description of the embodiments of the present invention, a detailed description of related arts will be omitted when it is determined that the gist of the embodiments disclosed herein may be obscured.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. , ≪ / RTI > equivalents, and alternatives.

It is to be understood that the terms such as " comprise ", " comprise ", or " comprise ", as used in the following examples, It should be understood that the present invention is not limited to the components but includes other components.

In addition, the switchboard with built-in fault monitoring and diagnostics, which has accident data analysis and internal abnormality monitoring and diagnosis functions, disclosed in the following embodiments, can be used for a short-circuit in a consumer electric equipment supplied with electric power from a KEPCO power distribution system, The voltage, current, and contact data before and after the accident when tripping or under voltage is detected are stored in the internal memory of the fault monitoring and diagnosis device, and when necessary, the color date, accident voltage / current size, It can be confirmed by LCD and an accident analysis can be performed.

In addition, UHF sensor, 3-axis vibration acceleration sensor, temperature and humidity sensor and failure monitoring diagnostic system are used for abnormal conditions such as insulation deterioration, arc, spark, overheat, vibration / shock, , Diagnosis function, failure analysis, danger display, buzzer alarm, breaker control, voice alarm and remote monitoring are performed to stabilize the power supply, extend the lifespan of the device, and improve user safety.

Hereinafter, a data transmission / reception panel with a fault monitoring and diagnosis apparatus having an accident data analysis and internal abnormality monitoring and diagnosis functions will be described in more detail.

1 and 2 are an external configuration and an internal configuration diagram of a faucet monitoring and diagnosing apparatus built-in type having accident data analysis, internal abnormal condition monitoring and diagnosis function according to an embodiment of the present invention.

In general, as shown in FIG. 1, the switchgear is divided into a high-voltage switchboard 10, a low-voltage switchboard 20, an electric motor control board 30, and a distribution board 40 depending on the size, (Vacuum breaker, air circuit breaker, circuit breaker, earth leakage breaker), transformer, and measuring instrument depending on the size and function of the voltage. The power devices are connected to the bus bar and cable to perform stable power supply function to the customer.

2, the switchboard of the present invention includes a transformer 200, a UHF sensor 300, a three-axis acceleration sensor 400, a temperature / humidity sensor 500, A failure monitoring diagnostic apparatus 100 for performing a failure analysis, a danger display, a buzzer alarm, a breaker control, and a voice alarm with data collected from the host computer 100 and a host program 600 for remote monitoring.

That is, the transformer 200, the UHF sensor 300, the three-axis vibration acceleration sensor 400, the temperature and humidity sensor (not shown) are connected to the high voltage switchboard 10, the low voltage switchboard 20, the motor control board 30, 500, and provides data collected in each failure monitoring diagnostic apparatus 100 or constitutes one failure monitoring diagnostic apparatus, and each of the transformers 200, the UHF detection sensor 300, A danger alarm, a buzzer alarm, a breaker control, and a voice alarm with reference to the collected data provided by the sensor 400 and the temperature / humidity sensor 500. [

More specifically, the transformer 200 performs a function of converting a high-voltage, high-voltage or low-voltage power supplied to a customer into a voltage and a current of a size that can be measured by the following fault monitoring diagnostic apparatus .

In addition, the UHF detection sensor 300 minimizes the influence of external noise, and performs a function of detecting a frequency of an ultra-high frequency band generated by deterioration of insulation due to aging, failure, or disturbance of power devices installed in a power plant do.

In addition, a three-axis vibration acceleration sensor 400 may be installed in the power distribution box enclosure 50 to measure the acceleration in three axes (X, Y, Z) when an abnormal vibration is applied to the enclosure.

Also, the temperature and humidity sensing sensor 500 may be installed to measure temperature and humidity inside the switchgear.

At this time, the fault monitoring and diagnosis apparatus 100 is mounted on the front surface of the switchgear and receives voltage and current from the transformer 200 to measure the power value. When a fault occurs in the electrical equipment, Current and contact data before and after the accident, and outputs failure analysis information on the occurrence date and time, the magnitude of the accident voltage / current, and the accident waveform to the display screen, and the UHF detection sensor 300, When the reference data based on the sensed data collected from the axial vibration acceleration sensor 400 and the temperature / humidity sensing sensor 500 is deviated, it is diagnosed as an abnormal state and the user is informed of the dangerous state, buzzer alarm, breaker control, And provides a monitoring function.

3 is a block diagram of a UHF sensing sensor applied to a faucet monitoring and diagnosis system equipped with an accidental data analysis and internal abnormality monitoring and diagnosis function according to an embodiment of the present invention.

As shown in FIG. 3, the UHF sensing sensor 300 includes a spiral antenna having a target frequency range of 0.3 to 3.0 GHz to detect an electromagnetic wave signal radiated when insulation deterioration occurs, and includes an ultra-high frequency band Range from 0.3 to 3.0 GHz.

The conical spiral antenna 310 has a structure in which a pair of conductors spreads spirally from the center and has a relatively wide width as it goes outward.

Specifically, the electric power equipment installed in the switchgear is subject to deterioration of insulation due to aging, failure or disturbance, and accompanies the frequency of the ultra-harmonic band when insulation deterioration occurs.

The UHF detection sensor 300 is configured to detect a frequency generated in an ultra-high frequency band by insulation deterioration and is configured to detect an ultra wide band electromagnetic wave (0.3 to 3.0 GHz) Spiral antenna 310 (refer to FIG. 3 (B)) is provided inside the antenna 31 (see (A) of FIG.

In order to detect an ultra-wideband frequency, a UHF sensor according to the present invention is designed to detect an electromagnetic wave signal in a frequency range of 0.3 to 3.0 GHz in a range including an ultra-high frequency band, It is preferable to apply the conformal spiral antenna.

The conical spiral antenna 310 has a structure in which a pair of conductors extend in a spiral shape from the center, but have a relatively wide width as they go outward, and are structured to detect an ultra-wideband frequency.

The isochronous spiral antenna 310 having such a structure is adapted to generate a circular polarized wave, and is thus suitable for detecting an ultra-wideband frequency by insulation deterioration generated inside a switchboard.

In addition, the conformal spiral antenna 310 may use any type of antenna as long as it has a structure capable of detecting a frequency in a superharmonic band.

FIG. 4 is a configuration diagram of a three-axis vibration acceleration sensor applied to a faucet monitoring and diagnosis system built-in switchboard having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.

As shown in FIG. 4, the three-axis vibration acceleration sensor 400 is installed in the switchboard enclosure 50 and can measure accelerations in three axis (X, Y, Z) directions when an abnormal vibration is applied to the enclosure .

Preferably, the three-axis vibration acceleration sensor 400 is an ADXL362 (ANALOG DEVICES) three-axis acceleration chip having a full scale of ± 2G and a resolution of 1 mG / LSB so that the acceleration of the low frequency band can be precisely measured. (410).

The reason for using such a three-axis acceleration chip is that since the current consumption is only 270 nA in active wakeup mode when there is motion, it is used because of its long-term advantage and high measurement accuracy.

In this case, the acceleration measured when the transmission / reception switchboard is shaken due to the vibration energy is calculated as a three-axis acceleration value using the oscillation period t, the natural frequency f, the angular frequency w, The natural frequency f is the number of cycles completed per unit time, and the angular frequency w is the cycle angle per unit time, which is calculated as shown in Equation 1 below.

Figure 112017113671214-pat00001

At this time, the harmonic motion is represented by sin and cos function, and the repetitive motion means a motion that repeats with time,

Figure 112017113671214-pat00002
.

Also, the amplitude is the displacement that appears when the sin and cos functions are harmonized

Figure 112017113671214-pat00003
, And the natural frequency (characteristic value, eigenvalue) can be expressed as a reciprocal of period t
Figure 112017113671214-pat00004
[1 / sec] Hz.

FIG. 5 is a circuit diagram of a three-axis vibration acceleration sensor applied to a faucet monitoring and diagnosis system built-in switchboard having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.

5, the AVR MCU 420 and the three-axis acceleration chip 410 are interfaced by SPI communication, the AVR MCU 420 is a MASTER, and the three-axis acceleration chip 410 is a SLAVE.

At this time, the data measured by the 3-axis acceleration chip 410 is transmitted to the AVR MCU 420 and subjected to calibration work, and the 3-axis vibration acceleration data is transmitted to the failure monitoring diagnostic apparatus 100 through the RS485 communication module 430 .

FIG. 6 is a configuration diagram of a temperature / humidity sensing sensor applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.

As shown in FIG. 6, the temperature / humidity sensor 500 performs a function of measuring temperature and humidity inside the switchgear.

In this case, the temperature and humidity sensor 500 has a temperature range of -40 ° C to + 125 ° C, a precision of ± 0.3 ° C and a resolution of 14 bits. The humidity specification is a humidity / humidity sensor having a measurement range of 0 to 100% RH, a precision of ± 3.8% RH, And a chip (510).

FIG. 7 is a circuit diagram of a temperature and humidity sensing sensor applied to a switchboard with built-in failure monitoring and diagnosis apparatus having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.

As shown in FIG. 7, the AVR MCU 520 and the temperature / humidity sensor chip 510 are interfaced by I 2 C communication, and the AVR MCU 520 is a MASTER and the temperature / humidity sensor chip 510 is a SLAVE.

At this time, the data measured by the temperature / humidity sensor chip 510 is transferred to the AVR MCU 520 and subjected to calibration work, and then the temperature / humidity data is transmitted to the failure monitoring diagnostic apparatus 100 through the RS485 communication module 530.

FIG. 8 is an external view of a fault monitoring and diagnosis apparatus applied to a switchboard having a fault monitoring and diagnosis apparatus having an accident data analysis, an internal abnormal condition monitoring and diagnosis function according to an embodiment of the present invention.

8, the front face of the failure monitoring and diagnosis apparatus 100 includes a color graphic LCD 150, a status display LED 160 (RUN, ERR), a communication check LED 170 (IOT (COM1) (180, UHF TRIP, VIBRAT TRIP, UHF ALM, VIBRAT ALM, TEMP ALM, DOOR ALM, DO ALM), input contact status LED (190, DRT (DI1), DRT (DI2), and DOOR (DI3).

That is, the data provided by the MMI unit 110 is displayed on the display. In the present invention, the initial screen of the color graphic LCD 150 displays the voltage and current input from the transformer 200, the transform ratio (PT ratio) A phase voltage, a phase current, a voltage, and a phase of a current compensated for a CT ratio are displayed in a vector diagram.

It is also possible to display the output contact status upon occurrence of an event such as self-diagnosis status display of the failure diagnosis and diagnosis apparatus 100, confirmation of communication with the upper program 600 and other devices, insulation deterioration, vibration, temperature, And the input contact state display can be respectively displayed by LEDs.

Accordingly, the administrator can visually confirm whether the internal state of the current switchboard is in the normal state or the abnormal state, and can confirm the voice alarm using the speaker 195 and the buzzer alarm using the contact point.

FIG. 9 is a diagram illustrating real-time power data analysis waveforms of a failure monitoring diagnostic apparatus applied to a switchboard having a failure monitoring diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.

9, the fault monitoring and diagnosis apparatus 100 receives voltage and current from the transformer 200 and measures power values such as phase voltage, line voltage, phase current, frequency, and active power, The three-phase voltage waveform 196, the three-phase current waveform 197, and the phase data are displayed on the color graphics LCD 150 for analysis by the administrator so as to analyze the waveform with respect to the data.

10 is an illustration of an accident data analysis screen of a fault monitoring and diagnosis apparatus applied to a faucet monitoring and diagnosing apparatus built-in type switchboard having accident data analysis and internal abnormality monitoring and diagnosis functions according to an embodiment of the present invention.

10, the fault monitoring and diagnosis apparatus 100 receives a signal when a circuit breaker trip operation is performed due to a short circuit, a ground fault, or the like in a customer electrical equipment, or when a low voltage is detected, and the voltage, current, The fault voltage waveform 198 and the fault current waveform 199 are displayed on the color graphic LCD 150 to be displayed on the display unit of the monitor To be analyzed.

In particular, accident data can store 100ms each before and after the accident, but it can be stored for 200ms by adjusting the time before and after the accident.

In addition, the failure monitoring diagnostic apparatus 100 installed in the motor control panel 30 displays the magnitude and waveform of the starting current generated due to the motor constraint at the time of starting the motor on the color graphic LCD 150, to provide.

FIG. 11 is an internal block diagram of a failure monitoring and diagnosis apparatus applied to a wired and wireless network equipped with a failure monitoring and diagnosis apparatus having an accident data analysis and an internal abnormal state monitoring and diagnosis function according to an embodiment of the present invention.

11, the fault monitoring and diagnosis apparatus 100 is mounted on the front surface of a switchgear and receives voltage and current from the transformer 200 to measure a power value. The fault diagnosis and diagnosis apparatus 100 is connected to a breaker, Current and contact data at the time of trip or under voltage detection are stored in the memory unit, and the failure analysis information on the occurrence date and time, the magnitude of the accident voltage / current, and the accident waveform are displayed on the display screen, and the UHF detection When the reference data set on the basis of the sensed data collected from the sensor 300, the three-axis acceleration sensor 400, and the temperature / humidity sensor 500 is exceeded, the abnormality is diagnosed and the user is informed of danger, buzzer alarm, breaker control, And remote monitoring using Ethernet communication.

For this purpose, the AI module 101, which is composed of a transformer, a current transformer, a filter, and an amplifier, converts the low voltage and current input from the transformer 200, 1 ADC 102 and the digital signal output from the first ADC 102 is converted into a digital signal by a DSP 109 through an internal operation such as a phase voltage, a line voltage, a phase current, a frequency, The fault data at the time of the occurrence of the power system fault is stored in the memory unit 103 and the fault analysis is displayed on the display through the MMI unit 110 when the commands of the managers are input .

The RF signal received from the UHF sensor 300 is modulated by an RF module 104 including a high pass filter (HPF) and a low pass filter (LPF). The modulated electromagnetic wave signal is supplied to the second ADC 105 The digital signal output from the second ADC 105 is divided into a time domain and a frequency domain in the DSP 109. The TF-MAP analyzes the deteriorated signal and the MMI unit 110, a danger warning is displayed and visually confirmed, a field alarm is issued through a contact of the DO unit 111, a voice alarm is issued via a speaker as a VO unit 112, and an Ethernet unit 113 via a communication network.

More specifically, each component will be described as follows.

The fault diagnosis and diagnosis apparatus 100 includes an AI module 101, a first ADC 102, a memory unit 103, an RF module 104, a second ADC 105, an analog to digital converter A first RS 485 communication module 106, a second RS 485 communication module 107, a universal asynchronous receiver / transmitter (UART) 108, a digital signal processor (DSP) 109, an MMI section 110, a DO section 111 ), A VO unit 112, and an Ethernet unit 113.

Specifically, the AI module 101 includes a transformer, a current transformer, a filter, and an amplifier. The AI module 101 receives and converts low-voltage and current signals from the transformer 200.

The first ADC 102 converts the analog voltage and the current converted by the AI module 101 into a digital signal. Preferably, the first analog signal 102 includes three analog voltage channels, a current 4 Because the channel must be input and measured, it is converted to a digital signal using two AD7656 (Analog Devices) with 6 channels and 16Bit precision.

The memory unit 103 stores power data before and after the accident that was collected by the AI module 101. [

The RF module 104 includes a high pass filter (HPF) and a low pass filter (LPF), and receives an electromagnetic wave signal from the UHF detection sensor 300 to perform modulation.

12, when the RF module 104 filters the 0.3 to 3.0 GHz electromagnetic wave signal input from the UHF detection sensor 300 using a high pass filter (HPF) and a low pass filter (LPF) The lowpass filter (LPF) filters out the bands of 0.8, 1.5, and 2.0 GHz, while the highpass filter (HPF) filters the bands of 0.2, 0.6, and 1.1 GHz. It is possible to set it to be able to do.

At this time, the second ADC 105 converts the electromagnetic wave signal modulated by the RF module 104 into a digital signal.

The first RS 485 communication module 106 acquires the X, Y, and Z axis data measured by the three-axis acceleration sensor 400. The second RS 485 communication module 107 acquires the X, Y, And the temperature and humidity data measured at the time of the measurement.

At this time, the UART 108 is connected to the first RS 485 communication module 1060 and the second RS 485 communication module 107 to transmit the measured X, Y, Z axis data and the temperature and humidity data to the universal asynchronous receiver / To the DSP 109 described below.

The digital signal processor (DSP) 109, which is a core component of the present invention, preferably uses a TMS320F28335 manufactured by TI. The digital signal output from the first ADC 102 is subjected to an internal calculation in the DSP 109 The power system fault data is stored in the memory unit 103. When the command of the manager is input, the power system fault data is stored in the memory unit 103, And transmitted to the MMI unit 110 for analysis and display output.

The digital signal output from the second ADC 105 is divided and converted into a time domain and a frequency domain. The digital signal is analyzed using an TF-MAP (Time-Frequency MAP) Y, and Z axis data measured by the three-axis vibration acceleration sensor 400 from the UART 108 and analyzes the magnitude of the magnitude on the modified Mercurial magnitude scale table, The temperature and humidity data measured by the temperature and humidity sensor 500 are compared with the temperature and humidity values obtained from the UART 108 and transmitted to the MMI unit 110, The VO unit 112 issues a voice alarm, and performs a remote monitoring function through the Ethernet unit 113. [0033] FIG.

13 is an internal block diagram of a DSP of a fault monitoring and diagnosis apparatus applied to a faucet monitoring and diagnosing apparatus built-in type switchboard having accident data analysis, internal abnormal condition monitoring and diagnosis function according to an embodiment of the present invention.

13, the DSP (Digital Signal Processor) 109 includes a power data analysis mode unit 109A, an insulation degradation analysis mode unit 109B, a triaxial vibration analysis mode unit 109C, (109D).

Specifically, the power data analysis mode unit 109A acquires a digital signal output from the first ADC 102 to perform internal calculations, and calculates a power value of at least one of a phase voltage, a line voltage, a phase current, a frequency, To the MMI unit 110 and outputs the data to the MMI unit 110. The power system accident data is stored in the memory unit 103 and transmitted to the MMI unit 110 for failure analysis when the commands of the managers are input, .

The isolation deterioration analysis mode unit 109B acquires the digital signal output from the second ADC 105, divides the digital signal into a time domain and a frequency domain, and then performs an isolation operation using a time-frequency map (TF-MAP) Analyzes the deteriorated signal and transmits the analysis result to the MMI unit 110 and outputs the result. The DO unit 111 is contacted to issue a site alarm, the VO unit 112 to issue a voice alarm, and the Ethernet unit 113 ) To perform remote monitoring functions.

The three-axis vibration analysis mode unit 109C acquires the X, Y, and Z-axis data input from the first RS 485 communication module 106 from the UART 108 and analyzes the progress on the corrected Merckle- A danger signal is transmitted to the MMI unit 110 and output to the MMI unit 110 and the DO unit 111 is contacted to issue a site alarm, And provides a remote monitoring function through the Ethernet unit 113. [0033] FIG.

For example, as shown in FIG. 15, if the acceleration value is within the range of 0.015 to 0.02, analysis is performed in the caution step. Accordingly, the attention signal is transmitted to the MMI unit 110, the DO unit 111, (112) and the Ethernet unit (113).

The temperature and humidity analysis mode unit 109D compares the temperature and humidity data input to the second RS 485 communication module 107 with the temperature and humidity values acquired from the UART 108 and transmits the data to the MMI unit 110 And outputs a voice alarm via the VO unit 112 to provide a remote monitoring function through the Ethernet unit 113. The wireless LAN unit 110 is connected to the Ethernet unit 113 via a wireless LAN.

16, if the set temperature is 100 ° C, for example, the event signal is output to the MMI unit 110, the DO unit 111, the VO unit 112, and the VO unit 112 after approximately 50 seconds according to the temperature characteristic curve. , And outputs it to the Ethernet unit 113.

14, the electromagnetic wave signal modulated by the RF module 104 is converted into a digital signal by the second ADC 105, and the TF-MAP analysis image is converted into a digital signal by the second ADC 105, The digital signal output from the DSP 109 is divided into a time domain and a frequency domain. The UHF electromagnetic wave signals distributed in the time domain of the TF-MAP and the dense distribution bands of UHF electromagnetic signals distributed in the frequency domain ), And it is possible to improve the accuracy of the analysis by processing the signal dispersed in a distant place in the dense distribution band as noise.

17, when the IP address for remote monitoring is set to the upper program initial screen of the fault monitoring and diagnosis apparatus 100, the data collected by the fault monitoring diagnostic apparatus 100 through the Ethernet unit 113 is remotely monitored The upper program 600 can be confirmed.

Although not described above, the live-door door open monitoring and diagnosis can be performed by connecting the voltage output from the transformer 200 of the switchboard and the contacts of the limit switch installed on the door to the digital input And transmits the analysis result to the MMI unit 110 and outputs the analysis result. The on-site alarm is issued through the contact of the DO unit 111, and the VO unit 112 ), And enables remote monitoring through the communication of the Ethernet unit 113. [0051] As shown in FIG.

The faults monitoring and diagnostic system built-in switchboard with incident data analysis and internal fault monitoring and diagnostics described above can be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer readable medium have.

The computer readable medium may be any medium accessible by the processor. Such media can include both volatile and nonvolatile media, removable and non-removable media, communication media, storage media, and computer storage media.

A communication medium may include computer readable instructions, data structures, program modules, other data of a modulated data signal such as a carrier wave or other transmission mechanism, and may include any other form of information delivery medium known in the art.

The storage medium may be any type of storage medium such as RAM, flash memory, ROM, EPROM, electrically erasable read only memory (" EEPROM "), registers, hard disk, removable disk, compact disk read only memory Or any other type of storage medium.

Such computer storage media may be embodied as program instructions, such as RAM, ROM, EPROM, EEPROM, flash memory, other solid state memory technology, CDROMs, digital versatile disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage, Lt; RTI ID = 0.0 > and / or < / RTI >

Examples of program instructions may include machine language code such as those produced by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the exemplary embodiments or constructions. You can understand that you can do it. The embodiments described above are therefore to be considered in all respects as illustrative and not restrictive.

100: Failure monitoring diagnostic device
200: Transformer
300: UHF detection sensor
400: 3-axis vibration acceleration sensor
500: Temperature and humidity sensor
600: Parent program for remote monitoring

Claims (5)

Fault monitoring with accident data analysis and internal abnormal status monitoring and diagnostics In a switchboard with built-in diagnostics,
A transformer 200 for converting the high-voltage, high-voltage or low-voltage power supplied to the customer into voltage and current of a magnitude that can be measured by the following fault monitoring diagnostic apparatus,
A UHF detection sensor 300 for detecting a frequency of an ultra-high frequency band generated by insulation deterioration of power devices installed in a power distribution board,
A three-axis vibration acceleration sensor 400 configured to be mounted on the cabinet and capable of measuring accelerations in three axes (X, Y, Z) when abnormal vibration is applied to the enclosure,
A temperature and humidity sensing sensor 500 capable of measuring temperature and humidity inside the switchgear,
And the voltage value is measured by receiving the voltage and the current from the transformer 200. The voltage, current, and contact data before and after the accident when the circuit breaker trips due to a ground fault, And outputs failure analysis information on the occurrence date and time, the magnitude of the accident voltage / current, and the accident waveform to the display screen. The UHF sensor 300, the three-axis acceleration sensor 400, Diagnosis diagnostic apparatus 100 that diagnoses an abnormal state when the reference data set on the basis of the sensed data collected from the sensor 500 and provides remote monitoring using a danger display, a buzzer alarm, a breaker control, a voice alarm, , ≪ / RTI >
The failure monitoring diagnostic apparatus (100)
An AI module 101 composed of a transformer, a current transformer, a filter, and an amplifier, which receives and converts the voltage and current converted from the transformer 200;
A first ADC (Analog to Digital Converter) 102 for converting the analog voltage and current converted by the AI module 101 into a digital signal;
A memory unit 103 for storing power data before and after an accident collected by the AI module 101;
An RF module 104 composed of a high pass filter (HPF) and a low pass filter (LPF) for receiving an electromagnetic wave signal from the UHF detection sensor 300 and performing modulation;
A second ADC (Analog to Digital Converter) 105 for converting an electromagnetic wave signal modulated by the RF module 104 into a digital signal;
A first RS485 communication module 106 for acquiring X, Y and Z axis data measured by the three-axis vibration acceleration sensor 400;
A second RS485 communication module 107 for acquiring temperature and humidity data measured by the temperature / humidity sensor 500;
A UART 108 for providing X, Y, and Z axis data and temperature and humidity data measured by the first RS 485 communication module 106 and the second RS 485 communication module 107 to the DSP 109, Receiver / Transmitter);
Receives the digital signal output from the first ADC 102, performs internal calculations, and transmits a power value of at least one of a phase voltage, a line voltage, a phase current, a frequency, and an active power to the MMI unit 110 for display output , The power system accident data is stored in the memory unit 103, and when an instruction of an administrator is inputted, the power system accident data is transmitted to the MMI unit 110 to display the failure analysis information, and the digital signal output from the second ADC 105 (TF-MAP) to analyze the insulated deterioration signal, and transmits the analysis result to the MMI unit 110 to display and output the result. The three-axis vibration acceleration The X, Y, and Z axis data measured by the sensor 400 are acquired from the UART 108, and the magnitude of the magnitude on the modified Mercurial magnitude scale table is analyzed and transmitted to the MMI unit 110 for display output. The temperature and humidity data measured by the humidity sensor 500 are acquired from the UART 108 and compared with the set temperature and humidity values to be transmitted to the MMI unit 110 for display and output and the DO unit 111 is contacted And a DSP (Digital Signal Processor) 109 for issuing a local alarm, issuing a voice alarm via the VO unit 112, and performing a remote monitoring function through the Ethernet unit 113,
The DSP 109 (Digital Signal Processor)
The digital signal output from the first ADC 102 is subjected to an internal calculation, and a power value of at least one of a phase voltage, a line voltage, a phase current, a frequency, and an active power is transmitted to the MMI unit 110 for display output A power data analysis mode unit 109A for storing the power system fault data in the memory unit 103 and transmitting the fault data to the MMI unit 110 for display and outputting a command for the fault analysis;
The digital signal output from the second ADC 105 is divided and converted into a time domain and a frequency domain, and then an insulation deteriorated signal is converted into a UHF electromagnetic wave signal distributed in the time domain using a time-frequency map (TF-MAP) The UHF electromagnetic wave signals distributed in the frequency domain are subjected to insulation deterioration progression based on the dense distribution band, and signals distributed to distant places in the dense distribution band are processed as noise and the analysis result is transmitted to the MMI unit 110 An isolation deterioration analysis mode unit (hereinafter referred to as " isolation deterioration analysis mode unit ") 110 for providing a remote monitoring function through the Ethernet unit 113, 109B);
X, Y and Z axis data input from the first RS 485 communication module 106 is obtained from the UART 108 and analyzed for the progress on the modified Merckley progress degree table. In step IV, attention is given, step V is an alarm, step VI In the above description, a danger signal is transmitted to the MMI unit 110 and output. The DO unit 111 is contacted to issue a site alarm, a VO unit 112 to issue a voice alarm, and an Ethernet unit 113 A three-axis vibration analysis mode unit 109C for providing a remote monitoring function; And
The temperature and humidity data input to the second RS 485 communication module 107 is acquired from the UART 108 and compared with the set temperature and humidity values and transmitted to the MMI unit 110 to be output. A temperature and humidity analysis mode unit 109D for issuing a site alarm, issuing a voice alarm via the VO unit 112, and providing a remote monitoring function through the Ethernet unit 113;
, ≪ / RTI >
The DSP 109 receives the voltage output from the transformer 200 and the contact of the limit switch installed in the door to the digital input contact built in the fault monitoring and diagnosis apparatus 100 and receives the voltage in the live state When the door is opened, the analysis result is transmitted to the MMI unit 110 to be output, a field alarm is issued through the contact point of the DO unit 111, a voice alarm is issued through the speaker of the VO unit 112 And an Ethernet unit (113). The system includes a fault diagnosis diagnostic apparatus with accident data analysis and internal abnormality monitoring and diagnosis functions.
delete delete The method according to claim 1,
The UHF detection sensor 300 includes:
A spiral antenna having a target frequency range of 0.3 to 3.0 GHz is incorporated to detect an electromagnetic wave signal radiated when an insulation deterioration occurs, and an electromagnetic wave signal is detected in a frequency band of 0.3 to 3.0 GHz in a range including an ultra-high frequency band Respectively,
The isochronous spiral antenna (310)
And a structure in which a pair of conductors extend in a helical shape from the center and have a relatively wider width as it goes outward, and a built-in failure diagnosis diagnostic device having an internal abnormality monitoring and diagnosis function Switchboards.
The method according to claim 1,
The three-axis vibration acceleration sensor (400)
(ANALOG DEVICES) 3-axis acceleration chip 410 having a full scale of ± 2G and a resolution of 1 mG / LSB to precisely measure the acceleration in the low frequency band. Diagnosis and diagnosis system with internal fault monitoring and diagnosis.
KR1020170152526A 2017-11-15 2017-11-15 Fault data analysis, internal abnormality condition monitoring, diagnosis function embedded switchgear with fault monitoring-diagnosis controller KR101865086B1 (en)

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