A method and system for identifying the state of an intelligent circuit breaker based on an electrical signal

Abstract

The application discloses a kind of intelligent circuit breaker state identification method and system based on electric signal, including real-time detection current flowing through circuit breaker, and whether the current exceeds preset overload current threshold is judged;When current exceeds overload current threshold, the real-time bending angle of bimetallic strip is detected at preset frequency;The tripping state of circuit breaker is monitored, and when real-time bending angle exceeds preset safety angle threshold and circuit breaker does not execute tripping action, circuit breaker fault alarm signal is generated.The application detects current in real time, detects the bending angle of bimetallic strip when overload and generates alarm signal when abnormal, compared with traditional way, greatly shorten fault detection time, can find hidden trouble in initial overload period, effectively prevent line from being burnt out due to long overload time.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fault detection, and in particular to a method and system for identifying the state of an intelligent circuit breaker based on an electrical signal. BACKGROUND

[0002] In modern power systems, circuit breakers play a crucial role in ensuring the safe operation of circuits. Traditional circuit breakers mostly rely on bimetallic strips as the core overload protection element. The bimetallic strip is made of two metals with different thermal expansion coefficients. Under normal operating current, the bimetallic strip remains flat, ensuring continuous conduction of the circuit. However, as the years go by, and due to the influence of complex working environments (such as high temperature, high humidity, strong electromagnetic interference, etc.), the mechanical properties of the bimetallic strip gradually change.

[0003] On the one hand, long-term thermal expansion and contraction cycles can change the internal microstructure of the metal material, causing fluctuations in key mechanical parameters such as elastic modulus and yield strength. On the other hand, chemical corrosion factors in the environment can cause oxidation and corrosion on the surface of the bimetallic strip, further weakening its mechanical properties. When the circuit is overloaded, the bimetallic strip should theoretically heat up and bend quickly, triggering the circuit breaking mechanism when it reaches the set bending angle, thereby cutting off the circuit and protecting downstream equipment and lines.

[0004] However, in reality, due to changes in mechanical properties, the bimetallic strip often fails to reach the preset bending angle in time when overloaded, resulting in delayed or even failed circuit breaking. This phenomenon can easily cause line overheating and, in severe cases, can lead to electrical fires and other major safety incidents, posing a significant threat to people's life and property safety and causing serious challenges to the stable and reliable operation of the power system. SUMMARY

[0005] To solve at least one of the above technical problems, the present application provides a method and system for identifying the state of an intelligent circuit breaker based on an electrical signal.

[0006] In a first aspect, the present application provides a method for identifying the state of an intelligent circuit breaker based on an electrical signal, the method comprising:

[0007] real-time detection of the current flowing through the circuit breaker and determination of whether the current exceeds a preset overload current threshold;

[0008] when the current exceeds the overload current threshold, detecting the real-time bending angle of the bimetallic strip at a preset frequency;

[0009] monitoring the tripping state of the circuit breaker, and generating a circuit breaker fault alarm signal when the real-time bending angle exceeds a preset safety angle threshold and the circuit breaker does not perform a tripping action;

[0010] The method comprises the following steps:

[0011] The cumulative heat generated by the bimetallic strip is calculated according to the integral of the current with respect to time;

[0012] The real-time bending angle of the bimetallic strip is calculated based on the cumulative heat and the difference in expansion coefficients of different metal layers of the bimetallic strip.

[0013] Preferably, the real-time bending angle of the bimetallic strip is calculated based on the cumulative heat and the difference in expansion coefficients of different metal layers of the bimetallic strip, comprising:

[0014] The actual temperature rise of the bimetallic strip is calculated based on the cumulative heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip;

[0015] The effective temperature rise of the bimetallic strip is obtained by subtracting the initial deformation temperature of the bimetallic strip from the actual temperature rise;

[0016] The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference in expansion coefficients of the two layers of the bimetallic strip and the total thickness, and according to the calculation of the radius of curvature of the bimetallic strip.

[0017] Preferably, the method further comprises:

[0018] When the duration of the current exceeding the overload current threshold value exceeds the preset time threshold value, a circuit breaker fault alarm signal is generated.

[0019] Preferably, before determining whether the current exceeds the preset overload current threshold value, the method further comprises:

[0020] An adaptive sliding window is established based on the average duration of overload tripping events in the historical fault database;

[0021] The current in the window is subjected to a sliding average process.

[0022] In a second aspect, the present application also provides an intelligent circuit breaker state recognition system based on an electrical signal, which comprises:

[0023] A current detection and overload determination module is configured to detect the current flowing through the circuit breaker in real time and determine whether the current exceeds a preset overload current threshold value;

[0024] A bimetallic strip bending angle detection module is configured to detect the real-time bending angle of the bimetallic strip at a preset frequency when the current exceeds the overload current threshold value;

[0025] A circuit breaker state monitoring and alarm module is configured to monitor the tripping state of the circuit breaker and generate a circuit breaker fault alarm signal when the real-time bending angle exceeds a preset safety angle threshold value and the circuit breaker does not perform a tripping action.

[0026] The real-time bending angle of the bimetallic strip is detected at a preset frequency, including:

[0027] The cumulative heat generated by the bimetallic strip is calculated according to the integral of the current with respect to time;

[0028] The real-time bending angle of the bimetallic strip is calculated based on the cumulative heat and the difference between the expansion coefficients of different metal layers of the bimetallic strip.

[0029] Preferably, the circuit breaker state monitoring and warning module is further configured to:

[0030] The actual temperature rise of the bimetallic strip is calculated based on the cumulative heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip;

[0031] The effective temperature rise of the bimetallic strip is obtained by subtracting the initial deformation temperature of the bimetallic strip from the actual temperature rise;

[0032] The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference between the expansion coefficients of the two layers of the bimetallic strip and the total thickness, and according to the calculation of the radius of curvature of the bimetallic strip.

[0033] Preferably, the system further comprises:

[0034] The overload duration monitoring and warning module is configured to generate a circuit breaker failure warning signal when the duration of the current exceeding the overload current threshold exceeds a preset time threshold.

[0035] Preferably, the current detection and overload determination module is further configured to:

[0036] An adaptive sliding window is established based on the average duration of overload circuit breaking events in the historical failure database;

[0037] The current in the window is subjected to a sliding average processing.

[0038] In a third aspect, the present application also provides an electronic device comprising a processor and a memory, the memory being configured to store computer program code, the computer program code comprising computer instructions, when the processor executes the computer instructions, the electronic device executes the method of the first aspect and any one of the possible implementation manners thereof.

[0039] In a fourth aspect, the present application also provides a computer readable storage medium, the computer readable storage medium storing a computer program, the computer program comprising program instructions, when the program instructions are executed by a processor of an electronic device, the processor executes the method of the first aspect and any one of the possible implementation manners thereof.

[0040] Compared with the prior art, the present application has the following advantages:

[0041] The application is directed to the safety problem that the mechanical properties of the bimetallic strip change with the years of use, etc., and the circuit breaker may not reach the set bending angle and cannot be tripped in time when overloaded. By real-time detection of the current in the circuit breaker loop, after signal conditioning, the microprocessor compares with the preset overload current threshold value. When the current is overloaded, the cumulative heat of the bimetallic strip is calculated in an integral manner at a preset frequency. Combined with the temperature collected by the environmental temperature sensor, the starting deformation temperature of the bimetallic strip, the specific heat capacity, the mass, etc., the effective temperature difference is calculated. Then, according to the thermal expansion coefficient and the thickness of the bimetallic strip, the radius of curvature and the real-time bending angle are calculated. Further, the tripping state is monitored by the tripping state monitoring sensor. When the bending angle exceeds the threshold value and the circuit breaker has not tripped, it is determined that the circuit breaker has a fault. The application detects the state of the bimetallic strip of the circuit breaker in real time when overloaded, and through multi-parameter comprehensive analysis, the hidden danger is found in time. Compared with the traditional method, the fault detection time is greatly shortened, and the misjudgment and missed judgment are reduced.

[0042] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, but not limiting the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the application or the background art, the drawings needed to be used in the embodiments of the application or the background art will be described below.

[0044] The drawings herein are incorporated into the specification and form part of the specification, which show embodiments consistent with the present disclosure, and together with the specification, serve to illustrate the technical solutions of the present disclosure.

[0045] Figure 1 A flowchart of an intelligent circuit breaker state recognition method based on an electrical signal provided by the embodiments of the application is shown.

[0046] Figure 2 A flowchart of bimetallic strip bending angle calculation provided by the embodiments of the application is shown.

[0047] Figure 3 A structural diagram of an intelligent circuit breaker state recognition system based on an electrical signal provided by the embodiments of the application is shown. DETAILED DESCRIPTION

[0048] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0050] Due to the passage of time and the influence of complex working environments, the mechanical properties of the bimetallic strip in the circuit breaker change. Under overload, it may not be able to reach the set bending angle in time to trigger the circuit breaking, which may easily lead to safety accidents such as overheating of the line or even electrical fire.

[0051] Please see Figure 1 , Figure 1 This is a flowchart illustrating an intelligent circuit breaker status identification method based on electrical signals, provided as an embodiment of the present invention. Figure 1 As shown, the method includes:

[0052] S100, Real-time detection of the current flowing through the circuit breaker, and determination of whether the current exceeds a preset overload current threshold;

[0053] In the circuit breaker circuit, a current sensor is used to collect current signals in real time. The current sensor can be a Hall effect current sensor, which, based on the Hall effect principle, can quickly and accurately sense current changes in the circuit and has good linearity and anti-interference capabilities. The collected current signal is amplified and filtered by a signal conditioning circuit before being transmitted to a microprocessor. The microprocessor compares the real-time current signal with the preset overload current threshold in the circuit breaker's factory settings. If the real-time current value is greater than the preset overload current threshold, an overload is determined, triggering subsequent detection procedures; otherwise, the real-time current detection state continues.

[0054] S200: When the current exceeds the overload current threshold, the real-time bending angle of the bimetallic strip is detected at a preset frequency.

[0055] See Figure 2 The method of detecting the real-time bending angle of the bimetallic strip at a preset frequency includes:

[0056] S210, calculates the cumulative heat generated by the bimetallic strip based on the integral of current over time;

[0057] S220, based on the accumulated heat and the difference in the expansion coefficients of the different metal layers of the bimetallic sheet, calculate the real-time bending angle of the bimetallic sheet.

[0058] Preferably, the step of calculating the real-time bending angle of the bimetallic strip based on the accumulated heat and the difference in the expansion coefficients of the different metal layers of the bimetallic strip includes:

[0059] Based on the accumulated heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip, the actual temperature rise of the bimetallic strip is calculated.

[0060] The effective temperature rise of the bimetallic strip is obtained by subtracting the initial deformation temperature of the bimetallic strip from the actual temperature rise.

[0061] The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference in the expansion coefficients of the two layers of the bimetallic strip, and the total thickness, and by calculating the radius of curvature of the bimetallic strip.

[0062] The microprocessor employs the trapezoidal integral method to integrate the current signal. The current-time curve is divided into preset time intervals, such as 0.1 seconds, and the current change within each interval is approximated as linear. This divides the area under the curve into multiple trapezoids. By calculating the area of ​​each trapezoid (i.e., the sum of the products of current and time within each time interval), the integral of current over time is performed to calculate the cumulative heat generated by the bimetallic strip. During this process, the microprocessor records the current value at each time point in real time and performs dynamic calculations based on the time intervals to ensure the accuracy of the cumulative heat calculation. After obtaining the cumulative heat Q, the microprocessor combines the specific heat capacity c and mass m of the bimetallic strip to calculate the temperature rise caused by current heating. The specific heat capacity c of the bimetallic strip is precisely measured through professional thermophysical experiments during material research and development and is stored in the microprocessor's non-volatile memory; while the mass m is obtained from the bimetallic strip's product manual. The calculation is then performed using the formula... Calculate the temperature rise ΔT caused by electric heating. heat .

[0063] A thermistor temperature sensor is used to collect ambient temperature T in real time. env A thermistor temperature sensor can react rapidly to minute changes in ambient temperature and convert these changes into electrical signals. These signals are further processed, amplified, filtered, and linearized by a signal conditioning circuit before being transmitted to a microprocessor, enabling the microprocessor to obtain accurate ambient temperature information. The bimetallic strip's initial deformation temperature T... startThe temperature-deformation parameters are determined through rigorous temperature-deformation testing during the bimetallic strip manufacturing process and stored in the microprocessor. The microprocessor then calculates the parameters based on the formula... The temperature rise ΔT caused by heating with electric current heat Real-time collected ambient temperature T env and the initial deformation temperature T start A comprehensive calculation is performed to obtain the effective temperature difference ΔT. eff The different coefficients of thermal expansion α1 and α2 of the two layers of the bimetallic strip are determined during the material selection stage through detailed testing and analysis of the thermal expansion properties of different metal materials. The thickness t of the bimetallic strip is measured during the production process using a high-precision thickness measuring instrument (such as a laser thickness gauge, with measurement accuracy down to the micrometer level) and then stored in the microprocessor. The microprocessor then uses the formula... The obtained thermal expansion coefficients α1 and α2, thickness t, and effective temperature difference ΔT are used to... eff Substitute the values ​​into the formula for precise calculation to obtain the radius of curvature ρ.

[0064] In one possible embodiment, when one end of the bimetallic strip is fixed, similar to a cantilever beam structure, the geometric relationship between its bending angle and radius of curvature can be derived using beam bending theory. The length of the bimetallic strip is L, and the radius of curvature is ρ. Approximating the bending arc of the bimetallic strip as a circular arc, the vertical displacement y of the free end of the bimetallic strip has the following relationship with the radius of curvature ρ and the length L. The bending angle θ, measured in radians, can be obtained through... The calculation involves finding the arc length s (approximately the length L of the bimetallic strip) in relation to the radius of curvature ρ and the central angle (the bending angle θ) as s = ρθ. Based on the previously calculated radius of curvature ρ, and the known length L of the bimetallic strip, the bending angle θ is calculated using the above formula. For example, if the bimetallic strip length L = 50 mm and the calculated radius of curvature ρ = 200 mm, then the bending angle...

[0065] In another possible embodiment, when the bimetallic strip is fixed in the center and its two ends are freely bent, the bending situation is relatively more complex, but it can still be analyzed based on geometric relationships and beam bending theory. The bimetallic strip is divided into two parts, left and right, each of which can be considered as a cantilever beam fixed at one end (its length is half the original length of the bimetallic strip, i.e., ...). For one part (taking the left side as an example), the vertical displacement y1 of its free end is related to the radius of curvature ρ and half-length. The relationship can also be approximated using formulas. Total vertical displacement at both ends of the bimetallic strip When calculating the bending angle, consider the rotation of one end of the bimetallic strip relative to a fixed point. Since the bimetallic strip bends symmetrically at both ends, let the bending angle of one end be θ1. Similarly, based on the relationship between arc length, radius of curvature, and central angle, for a length of... This part of the bimetallic strip has Then the total bending angle For example, if the bimetallic strip has a length L = 60 mm and a calculated radius of curvature ρ = 300 mm, then the bending angle at one end is... Total bending angle θ total =2θ1 = 0.2 radians.

[0066] In this embodiment, by accurately calculating the bending angle of the bimetallic strip under different fixing methods, combined with the previous calculation process regarding heat, temperature, and radius of curvature, the actual bending state of the bimetallic strip in the circuit breaker under different operating conditions can be determined more accurately, thereby improving the accuracy and reliability of circuit breaker fault detection.

[0067] S300 monitors the circuit breaker tripping status. When the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform a tripping action, a circuit breaker fault alarm signal is generated.

[0068] By using trip status monitoring sensors, such as microswitches or position sensors, changes in the trip position of the circuit breaker can be accurately detected, and the trip status of the circuit breaker can be monitored in real time. When the real-time bending angle of the bimetallic strip calculated by the microprocessor exceeds a preset safety angle threshold, which is set at the factory and stored in the microprocessor according to the circuit breaker's design requirements and safety specifications, and further, if the trip status monitoring sensor indicates that the circuit breaker has not performed a tripping action, the microprocessor immediately generates a circuit breaker fault alarm signal. The alarm signal is sent to a remote monitoring center or local alarm device via a wireless communication module to remind relevant personnel to handle the fault in a timely manner.

[0069] This embodiment addresses the safety issue of circuit breakers failing to trip in time due to changes in the mechanical properties of the bimetallic strip caused by years of use, which may prevent the circuit breaker from reaching the set bending angle under overload. The solution involves real-time current monitoring within the circuit breaker circuit. After signal conditioning, the microprocessor compares the signal with a preset overload current threshold. When an overload occurs, the accumulated heat of the bimetallic strip is calculated using an integral method at a preset frequency. This calculation, combined with ambient temperature sensor data, the bimetallic strip's initial deformation temperature, specific heat capacity, and mass, yields an effective temperature difference. Furthermore, the radius of curvature and real-time bending angle are calculated based on parameters such as the bimetallic strip's thermal expansion coefficient and thickness. After calculating the real-time bending angle, a tripping status monitoring sensor monitors the tripping status. If the bending angle exceeds the threshold and the circuit breaker fails to trip, a fault is identified in the circuit breaker. This invention, by real-time monitoring of the bimetallic strip's state under overload and comprehensive analysis of multiple parameters, promptly identifies potential faults, significantly shortening fault detection time and reducing false positives and false negatives compared to traditional methods.

[0070] Preferably, the method further includes:

[0071] When the current exceeds the overload current threshold for a duration that exceeds a preset time threshold, a circuit breaker fault alarm signal is generated.

[0072] In this embodiment, when the current is under overload for a long time, even if the real-time bending angle of the bimetallic strip has not exceeded the preset safety angle threshold, it will still cause potential damage to the circuit breaker and the line. This step can trigger a fault alarm in time, which can not only detect potential fault risks caused by long-term overload earlier and prevent the fault from deteriorating further, but also complement the method of judging faults based on the bending angle of the bimetallic strip, forming a more comprehensive and reliable fault detection system. This improves the accuracy and timeliness of circuit breaker fault judgment, thereby better protecting line safety, reducing the probability of power accidents caused by circuit breaker faults, and helping maintenance personnel to arrange maintenance plans more reasonably and reduce maintenance costs.

[0073] Preferably, before determining whether the current exceeds a preset overload current threshold, the method further includes:

[0074] An adaptive sliding window is established based on the average duration of overload circuit breaker events in the historical fault database.

[0075] The current within the window is processed by a moving average.

[0076] By collecting and organizing the duration data of massive overload circuit breaker events, a weighted average is calculated to determine the average duration. Based on this average duration, and considering the demand fluctuations and safety margins of actual application scenarios, an adaptive sliding window is constructed. For example, if the calculated average duration is 5 seconds, the sliding window is set to 5 seconds. After the window is constructed, the current within the window is averaged. Whenever new current data is collected, the earliest data in the sliding window is removed, and the arithmetic mean of all current data in the current window is recalculated to ensure that the average current within the window always reflects the overall trend of the current in the current period.

[0077] In this embodiment, before determining whether the current exceeds the preset overload current threshold, an adaptive sliding window is constructed based on the historical fault database and the current within the window is processed by sliding average. This effectively filters out short-term abnormal current fluctuations, avoids misjudgment, makes the current data smoother and more stable, clearly presents the true trend of change, provides a reliable basis for current threshold comparison, improves the reliability and stability of the circuit breaker status identification method, reduces the probability of misjudgment, enhances line safety protection, and reduces unnecessary maintenance costs and potential power accident risks.

[0078] In summary, the method provided in this embodiment can achieve at least the following effects:

[0079] This invention addresses the safety issue of circuit breakers failing to trip in time due to changes in the mechanical properties of bimetallic strips caused by years of use, which may prevent them from reaching a set bending angle under overload conditions. The invention detects current in the circuit breaker in real time, and after signal conditioning, a microprocessor compares it with a preset overload current threshold. When an overload occurs, the accumulated heat of the bimetallic strip is calculated using an integral method at a preset frequency. This calculation, combined with ambient temperature sensor data, the bimetallic strip's initial deformation temperature, specific heat capacity, and mass, yields an effective temperature difference. Furthermore, the radius of curvature and real-time bending angle are calculated based on parameters such as the bimetallic strip's thermal expansion coefficient and thickness. Additionally, a tripping status monitoring sensor monitors the tripping status. If the bending angle exceeds the threshold and the circuit breaker fails to trip, a fault is identified. This invention, by real-time monitoring of the bimetallic strip's state under overload conditions and through multi-parameter comprehensive analysis, promptly identifies potential faults, significantly shortening fault detection time and reducing false positives and false negatives compared to traditional methods.

[0080] See Figure 3 In one embodiment, an intelligent circuit breaker status identification system based on electrical signals is also provided, the system comprising:

[0081] The current detection and overload judgment module 100 is used to detect the current flowing through the circuit breaker in real time and determine whether the current exceeds the preset overload current threshold.

[0082] The bimetallic strip bending angle detection module 200 is used to detect the real-time bending angle of the bimetallic strip at a preset frequency when the current exceeds the overload current threshold.

[0083] The circuit breaker status monitoring and alarm module 300 is used to monitor the circuit breaker tripping status. When the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform the tripping action, a circuit breaker fault alarm signal is generated.

[0084] The method of detecting the real-time bending angle of the bimetallic strip at a preset frequency includes:

[0085] The cumulative heat generated by the bimetallic strip is calculated based on the integral of the current over time.

[0086] Based on the accumulated heat and the difference in the expansion coefficients of the different metal layers of the bimetallic sheet, the real-time bending angle of the bimetallic sheet is calculated.

[0087] Preferably, the circuit breaker status monitoring and alarm module 300 is further used for:

[0088] Based on the accumulated heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip, the actual temperature rise of the bimetallic strip is calculated.

[0089] The effective temperature rise of the bimetallic strip is obtained by subtracting the initial deformation temperature of the bimetallic strip from the actual temperature rise.

[0090] The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference in the expansion coefficients of the two layers of the bimetallic strip, and the total thickness, and by calculating the radius of curvature of the bimetallic strip.

[0091] Preferably, the system further includes:

[0092] Continue reading Figure 3 The overload duration monitoring and alarm module 400 is used to generate a circuit breaker fault alarm signal when the duration of the current exceeding the overload current threshold exceeds a preset time threshold.

[0093] Preferably, the current detection and overload judgment module is further used for:

[0094] An adaptive sliding window is established based on the average duration of overload circuit breaker events in the historical fault database.

[0095] The current within the window is processed by a moving average.

[0096] It is understood that the system provided in this embodiment has functions or includes modules that can be used to execute the methods described in the above method embodiments. The specific implementation can be referred to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0097] The present invention also provides an electronic device including a processor and a memory, the memory being used to store computer program code, the computer program code including computer instructions, wherein when the processor executes the computer instructions, the electronic device performs a method as described in any of the above possible implementations.

[0098] The present invention also provides a computer-readable storage medium storing a computer program, the computer program including program instructions that, when executed by a processor of an electronic device, cause the processor to perform a method as described in any of the above possible implementations.

[0099] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0100] Those skilled in the art will readily understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. Those skilled in the art will also readily understand that the various embodiments of the present invention have different focuses, and for the sake of convenience and brevity, the same or similar parts may not be repeated in different embodiments. Therefore, parts not described or not described in detail in one embodiment can be referred to in other embodiments.

Claims

1. A method for intelligent circuit breaker status identification based on electrical signals, characterized in that, The method includes: Real-time detection of the current flowing through the circuit breaker, and determination of whether the current exceeds a preset overload current threshold; When the current exceeds the overload current threshold, the real-time bending angle of the bimetallic strip is detected at a preset frequency. Monitor the circuit breaker tripping status. When the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform a tripping action, generate a circuit breaker fault alarm signal. The method of detecting the real-time bending angle of the bimetallic strip at a preset frequency includes: The cumulative heat generated by the bimetallic strip is calculated based on the integral of the current over time. Based on the accumulated heat and the difference in the expansion coefficients of the different metal layers of the bimetallic sheet, the real-time bending angle of the bimetallic sheet is calculated.

2. The intelligent circuit breaker status identification method based on electrical signals according to claim 1, characterized in that, The calculation of the real-time bending angle of the bimetallic strip based on the accumulated heat and the difference in the expansion coefficients of the different metal layers includes: Based on the accumulated heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip, the actual temperature rise of the bimetallic strip is calculated. The effective temperature rise of the bimetallic strip is obtained by subtracting the initial deformation temperature of the bimetallic strip from the actual temperature rise. The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference in the expansion coefficients of the two layers of the bimetallic strip, and the total thickness, and by calculating the radius of curvature of the bimetallic strip.

3. The intelligent circuit breaker status identification method based on electrical signals according to claim 1, characterized in that, The method further includes: When the current exceeds the overload current threshold for a duration that exceeds a preset time threshold, a circuit breaker fault alarm signal is generated.

4. The intelligent circuit breaker status identification method based on electrical signals according to claim 1, characterized in that, Before determining whether the current exceeds a preset overload current threshold, the method further includes: An adaptive sliding window is established based on the average duration of overload circuit breaker events in the historical fault database. The current within the window is processed by a moving average.

5. An intelligent circuit breaker status identification system based on electrical signals, characterized in that, The system includes: The current detection and overload judgment module is used to detect the current flowing through the circuit breaker in real time and determine whether the current exceeds the preset overload current threshold. The bimetallic strip bending angle detection module is used to detect the real-time bending angle of the bimetallic strip at a preset frequency when the current exceeds the overload current threshold. The circuit breaker status monitoring and alarm module is used to monitor the circuit breaker tripping status. When the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform the tripping action, a circuit breaker fault alarm signal is generated. The method of detecting the real-time bending angle of the bimetallic strip at a preset frequency includes: The cumulative heat generated by the bimetallic strip is calculated based on the integral of the current over time. Based on the accumulated heat and the difference in the expansion coefficients of the different metal layers of the bimetallic sheet, the real-time bending angle of the bimetallic sheet is calculated.

6. The intelligent circuit breaker status identification system based on electrical signals according to claim 5, characterized in that, The circuit breaker status monitoring and alarm module is also used for: Based on the accumulated heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip, the actual temperature rise of the bimetallic strip is calculated. The effective temperature rise of the bimetallic strip is obtained by subtracting the initial deformation temperature of the bimetallic strip from the actual temperature rise. The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference in the expansion coefficients of the two layers of the bimetallic strip, and the total thickness, and by calculating the radius of curvature of the bimetallic strip.

7. The intelligent circuit breaker status identification system based on electrical signals according to claim 5, characterized in that, The system also includes: The overload duration monitoring and alarm module is used to generate a circuit breaker fault alarm signal when the duration of the current exceeding the overload current threshold exceeds a preset time threshold.

8. The intelligent circuit breaker status identification system based on electrical signals according to claim 5, characterized in that, The current detection and overload judgment module is also used for: An adaptive sliding window is established based on the average duration of overload circuit breaker events in the historical fault database. The current within the window is processed by a moving average.

9. An electronic device, characterized in that, include: The electronic device includes a processor and a memory, the memory being used to store computer program code, the computer program code including computer instructions, wherein when the processor executes the computer instructions, the electronic device performs the intelligent circuit breaker status identification method based on electrical signals as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which includes program instructions that, when executed by a processor of an electronic device, cause the processor to perform the intelligent circuit breaker status identification method based on electrical signals as described in any one of claims 1 to 4.

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