Field adaptive arc detection circuit breaker robust to malfunction and control method thereof

Abstract

The present invention relates to a field adaptive arc detection circuit breaker that is robust to malfunction and is implemented to provide highly reliable arc detection performance in various electrical environments, and a control method thereof The field adaptive arc detection circuit breaker that is robust to malfunction, according to the present invention, automatically optimizes the detection sensitivity and threshold value of a system on the basis of noise characteristics generated in various electrical environments, thereby reducing unnecessary false detection and providing highly reliable arc detection performance. In addition, there is another advantage in that the possibility of an electrical fire is reduced by increasing arc detection accuracy in a field environment through real-time sensitivity adjustment. These characteristics contribute to preventing electrical fires, improving energy efficiency, and ensuring system stability.

Description

Field-adaptive arc-sensing circuit breaker robust to malfunction and control method thereof

[0001] The present invention relates to an arc detection circuit breaker and a control method thereof, and more specifically, to a field-adaptable arc detection circuit breaker robust against malfunction and a control method thereof that can minimize malfunctions of an arc detection system and improve reliability by learning noise characteristics occurring in various electrical environments.

[0002] Electrical environments vary depending on national power frequencies, building characteristics, and electrical load devices. In particular, industrial sites and logistics warehouses create complex noise environments due to various electrical load devices, which can lead to malfunctions in arc detection systems.

[0003] Arc noise is a major cause of electrical fires, and accurately detecting it is essential. However, in complex field environments, noise signals resembling arcs can lead to false positives and excessive sensitivity. Existing systems fail to adapt to these environmental variations and thus cannot provide stable arc detection performance.

[0004] The present invention aims to solve the above-mentioned problems, and the objective of the present invention is to provide a field-adaptive arc detection circuit breaker robust against malfunction and a control method thereof, which is implemented to provide highly reliable arc detection performance by adaptively learning noise characteristics occurring in various electrical environments in advance and optimizing the sensitivity and detection performance of the arc detection system.

[0005] The adaptive arc detection circuit breaker robust to field malfunction according to the present invention comprises: an arc noise frequency detection unit that detects a unique noise frequency generated in the field; a field adaptive learning unit that learns the frequency characteristics of the noise transmitted from the arc noise frequency detection unit; an arc sensitivity adjustment unit that adjusts the sensitivity of arc detection based on the learned noise characteristics; and an arc detection control unit that outputs a cutoff control signal to cut off the commercial power supply when the arc noise frequency detection unit detects that an arc has occurred.

[0006] The above arc detection circuit breaker can optimize arc frequency sensitivity and performance by learning noise characteristics according to the electrical environment.

[0007] The arc noise frequency detection unit may comprise: a first variable amplifier that detects a noise frequency generated in the field and adjusts the amplification level to correct the signal strength; a frequency-voltage converter that converts the frequency of the detected arc signal into a voltage value; an analog-to-digital converter that converts the analog signal converted into a voltage value into a digital signal; and a frequency detection control unit that analyzes the data digitized by the analog-to-digital converter and controls the amplification level of the first variable amplifier.

[0008] The field adaptive learning unit described above may comprise: a sensor unit that detects and transmits data representing electrical characteristics occurring in a field environment; a learning control unit that learns by analyzing the detected data transmitted from the sensor unit; and a data storage unit that stores the data transmitted from the sensor unit.

[0009] The above field adaptive learning unit may further include a feedback control unit that analyzes electrical characteristics occurring in the field environment in real time.

[0010] The above data storage unit may include any one of EPROM, EEPROM, or flash memory.

[0011] The data representing the above electrical characteristics may be one or more of frequency, voltage fluctuation, current pattern, and noise level.

[0012] The arc sensitivity adjustment unit may comprise: a second variable amplifier that detects an arc signal transmitted from the field adaptive learning unit and adjusts the amplification level to correct the signal strength; a variable resistor that converts the output signal of the second variable amplifier into a voltage level; and an arc sensitivity control unit that adjusts the amplification level of the second variable amplifier.

[0013] The field-adaptive arc detection circuit breaker according to the present invention may further include a load connected to a commercial power line supplying power; and a circuit breaker that cuts off power delivered from the commercial power line to the load.

[0014] The control method of a field-adaptive arc detection circuit breaker according to the present invention is characterized by comprising: an arc noise frequency detection step for detecting a noise frequency generated in the field; a field-adaptive learning step for learning the frequency characteristics of the noise transmitted in the arc noise frequency detection step; and an arc sensitivity adjustment step for adjusting the sensitivity of arc detection based on the learned noise characteristics.

[0015] It may further include an arc detection control step that outputs a cutoff control signal to cut off the commercial power supply when an arc is detected to have occurred in the arc noise frequency detection step above.

[0016] The control method of a field-adaptive arc detection circuit breaker according to the present invention is characterized by optimizing arc frequency sensitivity and performance by learning noise characteristics according to the electrical environment.

[0017] The arc noise frequency detection step may include: a step of detecting noise generated in the field and adjusting the amplification factor to correct the signal strength; a frequency-voltage conversion step of converting the frequency of the detected arc signal into a voltage value; an analog-to-digital conversion step of converting the analog signal converted into a voltage value into a digital signal; and a frequency detection control step of analyzing the digitized data to control the amplification factor.

[0018] The field adaptation learning step described above may include: a sensing step that detects and transmits data representing electrical characteristics occurring in a field environment; a learning control step that analyzes and learns the data detected in the sensing step; and a data storage step that stores the data transmitted in the sensing step.

[0019] The above field adaptation learning step may further include a feedback control step that analyzes electrical characteristics occurring in the field environment in real time.

[0020] The above arc sensitivity adjustment step may include: a step of detecting an arc signal transmitted in the field adaptation learning step and adjusting the amplification level to correct the signal intensity; a step of converting the corrected arc signal into a voltage level; and an arc sensitivity control signal output step of outputting a control signal that adjusts the amplification level.

[0021] According to the field-adaptive arc detection circuit breaker robust against malfunction according to the present invention, by learning the noise characteristics occurring in various electrical environments and automatically optimizing the detection sensitivity and threshold values ​​of the system, it is possible to reduce unnecessary false detections and provide highly reliable arc detection performance.

[0022] In addition, there is another advantage in that real-time sensitivity adjustment can increase the accuracy of arc detection in field environments, thereby reducing the possibility of electrical fires.

[0023] FIG. 1 is a diagram showing the configuration of a field-adaptive arc detection circuit breaker that is robust against malfunction according to the present invention.

[0024] FIG. 2 is a diagram showing the configuration of an arc noise frequency detection unit of a field-adaptive arc detection circuit breaker robust against malfunction according to the present invention.

[0025] FIG. 3 is a diagram showing the configuration of a field-adaptive learning unit of a field-adaptive arc detection circuit breaker that is robust against malfunction according to the present invention.

[0026] FIG. 4 is a diagram showing the configuration of an arc sensitivity adjustment unit of a field-adaptive arc detection circuit breaker robust against malfunction according to the present invention.

[0027] FIG. 5 is a diagram showing the flow of a control method for a field-adaptive arc detection circuit breaker robust against malfunction according to the present invention.

[0028] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings.

[0029] FIG. 1 is a diagram showing the configuration of a field-adaptive arc detection circuit breaker robust against malfunction according to the present invention, and FIG. 2 to 4 are diagrams showing the detailed configuration of a field-adaptive arc detection circuit breaker according to the present invention.

[0030] Referring to FIG. 1, a field-adaptive arc detection circuit breaker (100) robust to malfunction according to the present invention comprises an arc noise frequency detection unit (110), a field-adaptive learning unit (120), an arc sensitivity adjustment unit (130), and an arc detection control unit (140).

[0031] As shown in FIG. 2, the arc noise frequency detection unit (110) comprises a first variable amplifier (111), a frequency-voltage converter (112), an analog-to-digital converter (113), and a frequency detection control unit (114).

[0032] The arc noise frequency detection unit (110) detects noise including a unique frequency band that appears when an arc occurs through the first variable amplifier (111), converts it into a voltage level in the frequency-voltage converter (112), and then converts it into digital data through the analog-to-digital converter (113).

[0033] That is, noise detected by the first variable amplifier (111) is converted into a voltage value by the frequency-voltage converter (112), converted into digital data by the analog-to-digital converter (113), processed in real time by the frequency detection control unit (114), and then transmitted to the field adaptive learning unit (120). Through this, the arc detection system according to the present invention can quantitatively analyze the intensity of an arc signal occurring in a field environment.

[0034] Since the detected arc signal may be attenuated or exhibit irregular intensity depending on the field environment, a first variable amplifier (111) may be used to process it stably.

[0035] The arc signal entering the arc noise frequency detection unit (110) flows into the input terminal of the first variable amplifier (111), and the first variable amplifier (111) adjusts the amplification ratio according to the voltage input to correct the signal strength.

[0036] According to the data of the field adaptive learning unit (120), the frequency detection control unit (114) controls the amplification level of the variable amplifier (111), and increases the amplification ratio when the signal strength weakens, and lowers the amplification level when the signal strength strengthens to adjust the sensitivity. That is, the first variable amplifier (111) maintains the quality of the signal from noise and irregular signal changes, thereby providing a stable signal strength necessary for analyzing frequency characteristics.

[0037] When the amplified arc signal is fed into the input terminal of the frequency-voltage converter (112), the frequency-voltage converter (112) converts the signal into a voltage signal through an internal circuit according to the frequency characteristics. The frequency-voltage converter (112) outputs a voltage value that is directly proportional to the frequency, and the converted voltage value represents the frequency strength of the arc signal. For example, a high frequency is converted to a high voltage value, and a low frequency is converted to a low voltage value.

[0038] Next, the converted voltage signal is output as a stable analog voltage value by removing high-frequency noise through a filter circuit and is transmitted as an input to an analog-to-digital converter (113).

[0039] When the output signal of the frequency-voltage converter (112) is input to the input terminal, the analog-to-digital converter (113) converts the analog voltage signal into a digital value through sampling and quantization. Subsequently, the converted digital data is transmitted to the frequency detection control unit (114), and the frequency detection control unit (114) evaluates whether an arc has occurred and the signal strength based on this, and analyzes this in real time to process the data. Meanwhile, the digitized data is transmitted to the field adaptive learning unit (120) to detect arc occurrence signals in the field environment or to be used as learning data for the field environment.

[0040] As illustrated in FIG. 3, the field adaptive learning unit (120) comprises a sensor unit (121), a learning control unit (122), a data storage unit (123), and a feedback control unit (124).

[0041] The sensor unit (121) periodically collects various electrical characteristics (frequency, voltage fluctuation, current pattern, noise level, etc.) occurring in the field environment and transmits them to the learning control unit (122).

[0042] The learning control unit (122) stores data such as frequency, voltage fluctuation, current pattern, and noise level transmitted through the sensor unit (121) in the data storage unit (123), and measures, analyzes, and learns the data. The stored data is used to adjust the detection sensitivity in real time to minimize false detections in various field environments, optimize detection performance, and set threshold values. At this time, the stored data can be automatically updated whenever the electrical characteristics of the field environment change.

[0043] The field adaptive learning unit (120) adjusts the detection sensitivity and threshold based on field characteristics stored in the data storage unit (123). For example, it optimizes detection performance by lowering the sensitivity in a high-noise environment and increasing the sensitivity in a low-noise environment.

[0044] Meanwhile, if data collected in the field environment fluctuates above a certain threshold, the arc detection system automatically resets the threshold to match the new environment. The threshold adjustment function focuses on minimizing false positives and providing optimal detection performance whenever a new field environment is detected.

[0045] In addition, it may include a filtering function that distinguishes patterns similar to actual arc signals based on learned data and reduces false positives by distinguishing periodic noise or power fluctuations occurring in the field.

[0046] The field adaptive learning unit (120) may further include a feedback control unit (124) for improving the performance of the detector by analyzing electrical characteristics occurring in the field environment in real time. Through this, the arc detection system rapidly adapts to changes in the field environment and maintains optimal detection performance.

[0047] The feedback control unit (124) may include an internal microcontroller, a feedback control algorithm, and an environment change detection unit.

[0048] The arc detection system analyzes data collected in real-time from the field environment and updates detection sensitivity and thresholds when environmental changes are detected. Based on the real-time analyzed data, the system adjusts detection sensitivity through a feedback control algorithm. It increases detection sensitivity when signal attenuation occurs in the field environment and lowers it when noise occurs frequently to reduce the possibility of false positives.

[0049] The arc detection system can maintain consistent detection performance by collecting and analyzing data based on environmental changes in real time and automatically optimizing detection sensitivity and thresholds.

[0050] As shown in FIG. 4, the arc sensitivity adjustment unit (130) comprises a second variable amplifier (131), a variable resistor (132), and an arc sensitivity control unit (133).

[0051] When a signal detected in the field environment is attenuated, the second variable amplifier (131) automatically adjusts the amplification ratio to correct the signal strength. This function operates based on data collected from the field adaptive learning unit (120) and maintains the reliability of the arc detection system by optimizing the sensitivity of the detection signal in real time.

[0052] In the present invention, the amplification level of the arc signal detected in the field environment is adjusted in real time to maintain optimal detection sensitivity. Since the strength or characteristics of the detection signal may change depending on the field environment, a second variable amplifier (131) is used to process this stably.

[0053] When an arc signal detected in the field environment is transmitted to the input terminal of the second variable amplifier (131), the second variable amplifier (131) amplifies the signal according to the initial amplification ratio set by the arc sensitivity control unit (133). At this time, the amplification level is dynamically adjusted according to changes in the field environment. Based on data provided by the field adaptive learning unit (120), the arc sensitivity control unit (133) adjusts the amplification ratio of the second variable amplifier (131) in real time. For example, if there is a lot of noise in the environment, the amplification ratio is reduced, and if the arc signal is weak, the amplification ratio is increased to adjust the sensitivity.

[0054] The output signal of the second variable amplifier (131) is converted into a stabilized voltage level by passing through the variable resistor (132) and transmitted to the subsequent detection and analysis stage. As a result, the arc detection system can maintain arc detection performance by receiving a consistent signal strength even in various environments.

[0055] The present invention provides a feedback control loop that optimizes signal strength by adjusting detection sensitivity in real time to match changes in the field environment. This feedback loop analyzes data collected in real time and automatically adjusts detection sensitivity, thereby enabling the maintenance of stable arc detection performance.

[0056] The arc sensitivity control unit (133) continuously analyzes arc signal data collected in the field environment and, if it determines that adjustment of the amplification ratio is necessary according to periodic changes, executes it.

[0057] Meanwhile, a feedback control algorithm adjusts the amplification ratio in real time based on the magnitude of the detected signal and the conditions of the field environment. It automatically increases the amplification level when the signal strength weakens and reduces it when unnecessary noise occurs to optimize detection sensitivity.

[0058] The feedback loop is adjusted based on data collected from the field adaptive learning unit (120). Depending on the field learning data, high sensitivity or low sensitivity may be required in certain environments, and this is automatically recognized to adjust the sensitivity.

[0059] Data collected from the field adaptive learning unit (120) is used as basic data for adjusting the amplification ratio of the second variable amplifier (131). The arc sensitivity control unit (133) calculates the optimal amplification ratio suitable for the current detection environment based on the data received from the field adaptive learning unit (120), and this signal is input into a real-time feedback control loop so that the amplification ratio is automatically adjusted.

[0060] When an arc noise signal is transmitted from the arc noise frequency detection unit (110), the arc detection control unit (140) determines that an arc has occurred and generates a blocking control signal (CTL) to control the operation of the circuit breaker (150) connected to the load (160).

[0061] The circuit breaker (150) normally remains in the ON state to deliver commercial power supplied through the commercial power lines (N, L) to the load (160). However, when an arc noise signal is transmitted from the arc noise frequency detection unit (110), it is determined that an arc has occurred in the commercial power lines (N, L), and the circuit breaker (150) operates by the interruption control signal (CTL) supplied from the arc detection control unit (140), thereby cutting off the commercial power supplied to the load (160).

[0062] FIG. 5 is a diagram showing the flow of a control method for a field-adaptive arc detection circuit breaker robust against malfunction according to the present invention.

[0063] Referring to FIG. 5, the control method (500) of a field-adaptive arc detection circuit breaker robust to malfunction according to the present invention comprises an arc noise frequency detection step (S510), a field adaptation learning step (S520), and an arc sensitivity adjustment step (S530).

[0064] In the arc noise frequency detection step (S510), noise containing a unique frequency band that appears when an arc occurs is detected, converted into a voltage level by a frequency-voltage converter, and then converted into digital data through an analog-to-digital converter.

[0065] The arc noise frequency detection step (S510) may include: a step of detecting noise generated in the arc noise generation step and adjusting the amplification level to correct the signal strength; a frequency-voltage conversion step of converting the frequency of the detected arc signal into a voltage value; an analog-to-digital conversion step of converting the analog signal converted into a voltage value into a digital signal; and a frequency detection control step of analyzing the digitized data to control the amplification level.

[0066] In the field adaptation learning stage (S520), various electrical characteristics (frequency, voltage fluctuation, current pattern, noise level, etc.) occurring in the field environment are periodically collected and learned, and data representing said electrical characteristics is stored.

[0067] The field adaptation learning step (S520) may include: a sensing step that detects and transmits data representing electrical characteristics occurring in a field environment; a learning control step that analyzes and learns the data detected in the sensing step; and a data storage step that stores the data transmitted in the sensing step.

[0068] The above field adaptation learning step (S520) may further include a feedback control step that analyzes electrical characteristics occurring in the field environment in real time.

[0069] In the arc sensitivity adjustment step (S530), the amplification level of the arc signal detected in the field environment is adjusted in real time to maintain optimal detection sensitivity. At this time, since the strength or characteristics of the detection signal may change depending on the field environment, a variable amplifier may be used to process it stably.

[0070] The arc sensitivity adjustment step (S530) may include: a step of detecting an arc signal transmitted in the field adaptation learning step and adjusting the amplification level to correct the signal intensity; a step of converting the corrected arc signal into a voltage level; and an arc sensitivity control signal output step of outputting a control signal that adjusts the amplification level.

[0071] Meanwhile, the method may further include an arc detection control step (S540) that outputs a cutoff control signal to cut off the commercial power supply when an arc is detected to have occurred in the arc noise frequency detection step.

Claims

1. An arc noise frequency detection unit that detects noise generated in the field; A field-adaptive learning unit that learns the frequency characteristics of the noise transmitted from the arc noise frequency detection unit above; Arc sensitivity adjustment unit that adjusts the sensitivity of arc detection based on learned noise characteristics: and A field-adapted arc detection circuit breaker robust against malfunction, characterized by including an arc detection control unit that outputs a cutoff control signal to cut off the commercial power supply when an arc is detected to have occurred by the arc noise frequency detection unit.

2. In claim 1, the arc detection circuit breaker A field-adapted arc detection circuit breaker robust against malfunction, characterized by optimizing arc frequency sensitivity and performance by learning noise characteristics according to the electrical environment.

3. In claim 1, the arc noise frequency detection unit A first variable amplifier that detects noise generated in the above field environment and adjusts the amplification level to correct the signal strength; A frequency-to-voltage converter that converts the frequency of a detected arc signal into a voltage value; Analog-to-digital converter that converts an analog signal converted into a voltage value into a digital signal: and A field-adaptive arc detection circuit breaker robust against malfunction, characterized by including a frequency detection control unit that analyzes digitized data from the analog-to-digital converter and controls the amplification level of the first variable amplifier.

4. In claim 1, the field-adaptive learning unit A sensor unit that detects and transmits data representing electrical characteristics occurring in a field environment; A learning control unit that analyzes and learns data detected by the sensor unit above; and A field-adaptive arc detection circuit breaker robust against malfunction, characterized by including a data storage unit that stores data transmitted from the sensor unit.

5. In Clause 4, the field-adaptive learning unit is, A field-adapted arc detection circuit breaker robust against malfunction, characterized by further including a feedback control unit that analyzes electrical characteristics occurring in a field environment in real time.

6. In claim 4, the data storage unit A field-adaptive arc detection circuit breaker robust to malfunction, characterized by including any one of EPROM, EEPROM, or flash memory.

7. In claim 5, the data representing the electrical characteristics A field-adapted arc detection circuit breaker robust against malfunction, characterized by having one or more of the following data: frequency, voltage fluctuation, current pattern, and noise level.

8. In claim 1, the arc sensitivity adjustment part A second variable amplifier that detects an arc signal transmitted from the field-adaptive learning unit and adjusts the amplification level to correct the signal strength; A variable resistor that converts the output signal of the second variable amplifier into a voltage level; and A field-adaptable arc detection circuit breaker robust against malfunction, characterized by including an arc sensitivity control unit that adjusts the amplification level of the second variable amplifier unit.

9. In Paragraph 1, A load connected to a commercial power line supplying power; and A field-adaptive arc-sensing circuit breaker robust against malfunction, characterized by further including a circuit breaker that cuts off power delivered to the load from the commercial power line.

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