A non-continuous current surge protector

Abstract

The present invention relates to the field of surge protectors, and in particular to a non-relay surge protector, comprising: a voltage detection unit; a quick cut-off mechanism; a current monitoring and control system; and a self-recovery system; the voltage detection unit is used to monitor the voltage of a circuit and compare it with a preset safe voltage range, and once it is detected that the voltage exceeds the safe range, the quick cut-off mechanism is triggered; the quick cut-off system comprises a solid-state relay and a circuit breaker, and is used to cut off the circuit; the current monitoring and control system comprises a Hall effect sensor, and the current of the circuit is monitored in real time by the Hall effect sensor, and is compared with a set safety threshold, and the cut-off mechanism is adjusted; the self-recovery mechanism comprises a temperature sensitive element, and the temperature of the circuit is monitored by the temperature sensitive element, and the circuit is automatically disconnected when the temperature exceeds the set value, and the connection is restored after cooling; when the voltage or current exceeds the safe range, the quick cut-off mechanism immediately cuts off the circuit.

Description

Technical Field

[0001] The invention provides a non-relay current surge protector, belonging to the field of surge protectors. Background Art

[0002] A non-rewinding surge protector is a special electrical device used to protect electronic equipment from momentary overvoltages (i.e. surges). Its main feature is that after detecting the overvoltage and intervening, it can effectively cut off all abnormal currents, thus avoiding the phenomenon of follow-on current. Follow-on current refers to the phenomenon in electrical equipment where an abnormal current generated for some reason (such as a short circuit or overvoltage) continues to exist after the initial fault. A non-rewinding surge protector can quickly cut off the current after a surge occurs, avoiding additional damage to the circuit or the risk of fire;

[0003] However, the surge protector of the prior art has the following shortcomings:

[0004] Limited voltage adaptability: Traditional surge protectors may use fixed voltage thresholds, which limits their adaptability in different power grid environments. In power grids with large fluctuations, fixed thresholds may lead to frequent false alarms or missed alarms.

[0005] Limitations of current monitoring: Older models of surge protectors may lack the ability to predict current trends, which makes them less responsive or accurate in responding to current anomalies. As a result, they may not be able to effectively handle rapid changes or abnormalities in current.

[0006] Lack of effective coordinated control and self-correction: Traditional protectors may not integrate advanced data analysis and self-correction mechanisms, which limits their response accuracy and long-term stability in response to changes in the grid environment. The lack of these features may cause the protectors to perform poorly in the face of complex or changing grid conditions. Summary of the invention

[0007] The present invention provides a non-relay current surge protector, and the technical solution adopted is as follows:

[0008] A non-continuous current surge protector, comprising:

[0009] Voltage detection unit;

[0010] Quick cut-off mechanism;

[0011] Current monitoring and control system;

[0012] Self-recovery system;

[0013] The voltage detection unit is used to monitor the voltage of the circuit and compare it with a preset safe voltage range. Once it is detected that the voltage exceeds the safe range, the rapid cut-off mechanism is triggered;

[0014] The rapid disconnection system includes a solid-state relay and a circuit breaker for disconnecting the circuit;

[0015] The current monitoring and control system includes a Hall effect sensor, which monitors the current of the circuit in real time, compares it with a set safety threshold, and adjusts the cut-off mechanism;

[0016] The self-recovery mechanism includes a temperature-sensitive element, through which the temperature of the circuit is monitored, and the circuit is automatically disconnected when the temperature exceeds a set value, and the connection is restored after cooling;

[0017] This non-return current surge protector provides comprehensive circuit protection through a comprehensive voltage detection unit, a fast cut-off mechanism, a current monitoring and control system, and a self-recovery system. When the voltage or current exceeds the safe range, the fast cut-off mechanism immediately cuts off the circuit, effectively preventing equipment damage caused by abnormal voltage or current. The self-recovery system ensures that the circuit is automatically restored under safe conditions, thereby protecting the circuit safety while reducing manual intervention and improving the overall efficiency and reliability of the system.

[0018] Preferably, the working process of the voltage detection unit includes:

[0019] Monitor voltage data in real time and trigger the cut-off mechanism through threshold comparison logic judgment;

[0020] When the voltage rises sharply and exceeds the preset threshold, a cut-off signal is immediately issued;

[0021] Dynamically adjust thresholds according to different load conditions and grid environments to improve adaptability and sensitivity;

[0022] The threshold comparison logic includes:

[0023] Vcurrent-Vsafe>ΔV;

[0024] Where Vcurrent is the real-time voltage; Vsafe is the safety voltage; ΔV is the voltage threshold;

[0025] The workflow of this voltage detection unit can monitor voltage changes in real time and respond quickly when the voltage is abnormal. By dynamically adjusting the voltage threshold, the system can adapt to different loads and grid environments, improving the flexibility and adaptability of the system. This flexible threshold adjustment mechanism can more accurately identify true voltage anomalies and reduce false alarms, thereby improving the overall efficiency and stability of the system.

[0026] Preferably, the dynamic adjustment threshold formula includes:

[0027] ΔV=k×Vrated,

[0028] Where k is the preset proportionality factor, Vrated is the rated voltage of the system;

[0029] The proportionality factor k is adjusted according to the characteristics of the circuit and historical surge data to optimize the response sensitivity and accuracy of the system;

[0030] Dynamically adjusting the threshold formula allows the system to optimize response sensitivity and accuracy based on actual circuit characteristics and historical surge data. This approach allows the protector to remain efficient and accurate under different grid conditions, especially in environments with variable grid conditions. By refining and precisely controlling the threshold, this approach can significantly improve the system's responsiveness to surges while reducing the possibility of false triggering.

[0031] Preferably, the current monitoring and control system workflow includes:

[0032] Real-time monitoring of current;

[0033] Determine whether the current exceeds the safety threshold;

[0034] Adjust the cut-off mechanism response characteristics;

[0035] Quickly cut off the current;

[0036] By monitoring the current in real time and triggering a rapid cut-off mechanism when the current reaches or exceeds the safety threshold, it can respond quickly when the current increases sharply or fluctuates abnormally, preventing circuit overload and potential damage.

[0037] The design of the current monitoring and control system enables the protector to monitor the current in real time and respond quickly when it detects that the current exceeds the safety threshold. This real-time reaction capability is essential to prevent circuit overload and potential damage. Through timely response, the system not only protects the circuit from damage, but also reduces equipment failure and downtime caused by abnormal current.

[0038] Preferably, the current attenuation formula includes:

[0039] I(t)=I×e -λt ;

[0040] Where I is the initial current when the surge occurs, λ is the decay constant, and t is the time;

[0041] Used to predict the decay process of current after a surge occurs, helping to adjust the sensitivity of the cut-off mechanism;

[0042] The introduction of the current decay formula provides a scientific method for surge protectors to predict the decay process of current after a surge occurs. This predictive ability allows the protector to more accurately adjust the sensitivity of the cut-off mechanism to ensure that the current can be quickly interrupted in any case to avoid continuous flow. In addition, this method helps to optimize the overall response strategy of the system and improve the efficiency and reliability of the protector under various operating conditions.

[0043] Preferably,

[0044] Using machine learning techniques such as logistic regression, the cut-off threshold and response strategy are dynamically adjusted according to the changing patterns of voltage and current;

[0045] A collaborative control algorithm that combines voltage and current data to achieve more accurate and faster surge protection response;

[0046] Use multivariate data analysis to comprehensively consider the changing trends of voltage and current; respond quickly to abnormal voltage and sudden current surges, thus avoiding equipment damage caused by delayed response;

[0047] Dynamically adjust algorithm parameters according to different operating conditions of the power grid, such as load changes and voltage fluctuations, to improve system stability and reliability;

[0048] Combined with machine learning technology of logistic regression, this non-relay surge protector can dynamically adjust the cut-off threshold and response strategy according to the change pattern of voltage and current. This intelligent approach not only enhances the response speed and accuracy of the system, but also improves its adaptability to complex power grid environments. By comprehensively considering the changing trends of voltage and current, the system can more effectively prevent equipment damage caused by delayed response. In addition, through the analysis of power grid operating conditions and dynamic adjustment of parameters, the adaptability and stability of the system are further improved, which is particularly important for coping with power grid fluctuations and load changes.

[0049] Preferably, data analysis algorithms are used to predict and adjust system behavior to ensure optimal performance under a variety of environmental and load conditions;

[0050] The data analysis algorithm includes Kalman filtering;

[0051] Self-correction mechanism can automatically adjust detection parameters based on historical performance and current working status;

[0052] The Kalman filter algorithm is used to learn and adapt to various working conditions in real time to ensure that voltage and current abnormalities can be effectively responded to in any case;

[0053] By introducing data analysis algorithms such as Kalman filtering, the self-correction mechanism of this surge protector can ensure optimal performance under various environmental and load conditions. This advanced self-learning and adaptive capability enables the protector to adjust its detection parameters in real time to cope with changing grid conditions. This not only improves the accuracy of the system's response to voltage and current anomalies, but also significantly improves the long-term stability and reliability of the system.

[0054] Preferably, a testing and optimization program system is also included,

[0055] Includes tests under a variety of simulated and actual operating conditions to ensure that the system performs well under various voltage and current abnormal conditions;

[0056] It also includes specific failure mode testing of the system's emergency response capabilities to evaluate the system's performance under extreme or unconventional conditions;

[0057] It also includes testing of conditions such as extreme temperature and humidity changes to fully ensure the stability and reliability of the system;

[0058] The introduction of a comprehensive testing and optimization program provides a comprehensive evaluation and improvement mechanism for surge protectors. Through testing under a variety of simulated and actual operating conditions, the system's performance and emergency response capabilities are fully verified. In particular, testing under extreme conditions, such as high temperature and humidity changes, ensures stable operation of the system in the most difficult environments. This comprehensive testing program is essential to ensure system reliability and continuous optimization, ensuring that the surge protector can provide effective protection under various voltage and current abnormal conditions.

[0059] The present invention has the following beneficial effects:

[0060] 1. Through the intelligent voltage sensing and adaptive regulation system, combined with the machine learning algorithm, the voltage abnormality threshold is dynamically adjusted, so that the protector can adapt to different grid environments and conditions. This adaptive capability improves the system's recognition accuracy of voltage fluctuations and reduces the possibility of false alarms.

[0061] 2. Current monitoring and control system combines dynamic current monitoring and prediction, and uses time series analysis algorithms (such as ARIMA) to predict current trends. This predictive capability allows the system to more accurately adjust the sensitivity of the cut-off mechanism, improving the efficiency and stability of the protector.

[0062] 3. By combining voltage and current data analysis, using machine learning technology of logistic regression and Kalman filtering algorithm, effective linkage between algorithms is achieved. This collaborative control and self-correction mechanism enhances the system's ability to adapt to changes in the power grid environment, improves the accuracy of response and the long-term stability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 , one A schematic diagram of a non-continuous current surge protector. DETAILED DESCRIPTION

[0064] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0065] 1. Embodiment 1:

[0066] A non-continuous current surge protector, comprising:

[0067] Voltage detection unit;

[0068] Quick cut-off mechanism;

[0069] Current monitoring and control system;

[0070] Self-recovery system;

[0071] The voltage detection unit is used to monitor the voltage of the circuit and compare it with a preset safe voltage range. Once it is detected that the voltage exceeds the safe range, the rapid cut-off mechanism is triggered;

[0072] The rapid disconnection system includes a solid-state relay and a circuit breaker for disconnecting the circuit;

[0073] The current monitoring and control system includes a Hall effect sensor, which monitors the current of the circuit in real time, compares it with a set safety threshold, and adjusts the cut-off mechanism;

[0074] The self-recovery mechanism includes a temperature-sensitive element, through which the temperature of the circuit is monitored, and the circuit is automatically disconnected when the temperature exceeds a set value, and the connection is restored after cooling;

[0075] This non-return current surge protector provides comprehensive circuit protection through a comprehensive voltage detection unit, a fast cut-off mechanism, a current monitoring and control system, and a self-recovery system. When the voltage or current exceeds the safe range, the fast cut-off mechanism immediately cuts off the circuit, effectively preventing equipment damage caused by abnormal voltage or current. The self-recovery system ensures that the circuit is automatically restored under safe conditions, thereby protecting the circuit safety while reducing manual intervention and improving the overall efficiency and reliability of the system.

[0076] Preferably, the working process of the voltage detection unit includes:

[0077] Monitor voltage data in real time and trigger the cut-off mechanism through threshold comparison logic judgment;

[0078] When the voltage rises sharply and exceeds the preset threshold, a cut-off signal is immediately issued;

[0079] Dynamically adjust the threshold according to different load conditions and grid environment to improve adaptability and sensitivity;

[0080] The threshold comparison logic includes:

[0081] Vcurrent-Vsafe>ΔV;

[0082] Where Vcurrent is the real-time voltage; Vsafe is the safety voltage; ΔV is the voltage threshold;

[0083] The workflow of this voltage detection unit can monitor voltage changes in real time and respond quickly when the voltage is abnormal. By dynamically adjusting the voltage threshold, the system can adapt to different loads and grid environments, improving the flexibility and adaptability of the system. This flexible threshold adjustment mechanism can more accurately identify true voltage anomalies and reduce false alarms, thereby improving the overall efficiency and stability of the system.

[0084] Preferably, the dynamic adjustment threshold formula includes:

[0085] ΔV=k×Vrated,

[0086] Where k is the preset proportionality factor, Vrated is the rated voltage of the system;

[0087] The proportionality factor k is adjusted according to the characteristics of the circuit and historical surge data to optimize the response sensitivity and accuracy of the system;

[0088] Dynamically adjusting the threshold formula allows the system to optimize response sensitivity and accuracy based on actual circuit characteristics and historical surge data. This approach allows the protector to remain efficient and accurate under different grid conditions, especially in environments with variable grid conditions. By refining and precisely controlling the threshold, this approach can significantly improve the system's responsiveness to surges while reducing the possibility of false triggering.

[0089] Preferably, the current monitoring and control system workflow includes:

[0090] Real-time monitoring of current;

[0091] Determine whether the current exceeds the safety threshold;

[0092] Adjust the cut-off mechanism response characteristics;

[0093] Quickly cut off the current;

[0094] By monitoring the current in real time and triggering a rapid cut-off mechanism when the current reaches or exceeds the safety threshold, it can respond quickly when the current increases sharply or fluctuates abnormally, preventing circuit overload and potential damage.

[0095] The design of the current monitoring and control system enables the protector to monitor the current in real time and respond quickly when it detects that the current exceeds the safety threshold. This real-time reaction capability is essential to prevent circuit overload and potential damage. Through timely response, the system not only protects the circuit from damage, but also reduces equipment failure and downtime caused by abnormal current.

[0096] Preferably, the current attenuation formula includes:

[0097] I(t)=I×e -λt ;

[0098] Where I is the initial current when the surge occurs, λ is the decay constant, and t is the time;

[0099] Used to predict the decay process of current after a surge occurs, helping to adjust the sensitivity of the cut-off mechanism;

[0100] The introduction of the current decay formula provides a scientific method for surge protectors to predict the decay process of current after a surge occurs. This predictive ability allows the protector to more accurately adjust the sensitivity of the cut-off mechanism to ensure that the current can be quickly interrupted in any case to avoid continuous flow. In addition, this method helps to optimize the overall response strategy of the system and improve the efficiency and reliability of the protector under various operating conditions.

[0101] Preferably,

[0102] Using machine learning techniques such as logistic regression, the cut-off threshold and response strategy are dynamically adjusted according to the changing patterns of voltage and current;

[0103] A collaborative control algorithm that combines voltage and current data to achieve more accurate and faster surge protection response;

[0104] Use multivariate data analysis to comprehensively consider the changing trends of voltage and current; respond quickly to abnormal voltage and sudden current surges, thus avoiding equipment damage caused by delayed response;

[0105] Dynamically adjust algorithm parameters according to different operating conditions of the power grid, such as load changes and voltage fluctuations, to improve system stability and reliability;

[0106] Combined with machine learning technology of logistic regression, this non-relay surge protector can dynamically adjust the cut-off threshold and response strategy according to the change pattern of voltage and current. This intelligent approach not only enhances the response speed and accuracy of the system, but also improves its adaptability to complex power grid environments. By comprehensively considering the changing trends of voltage and current, the system can more effectively prevent equipment damage caused by delayed response. In addition, through the analysis of power grid operating conditions and dynamic adjustment of parameters, the adaptability and stability of the system are further improved, which is particularly important for coping with power grid fluctuations and load changes.

[0107] Preferably, data analysis algorithms are used to predict and adjust system behavior to ensure optimal performance under a variety of environmental and load conditions;

[0108] The data analysis algorithm includes Kalman filtering;

[0109] Self-correction mechanism can automatically adjust detection parameters based on historical performance and current working status;

[0110] The Kalman filter algorithm is used to learn and adapt to various working conditions in real time to ensure that voltage and current abnormalities can be effectively responded to in any case;

[0111] By introducing data analysis algorithms such as Kalman filtering, the self-correction mechanism of this surge protector can ensure optimal performance under various environmental and load conditions. This advanced self-learning and adaptive capability enables the protector to adjust its detection parameters in real time to cope with changing grid conditions. This not only improves the accuracy of the system's response to voltage and current anomalies, but also significantly improves the long-term stability and reliability of the system.

[0112] Preferably, a testing and optimization program system is also included,

[0113] Includes tests under a variety of simulated and actual operating conditions to ensure that the system performs well under various voltage and current abnormal conditions;

[0114] It also includes specific failure mode testing of the system's emergency response capabilities to evaluate the system's performance under extreme or unconventional conditions;

[0115] It also includes testing of conditions such as extreme temperature and humidity changes to fully ensure the stability and reliability of the system;

[0116] The introduction of a comprehensive testing and optimization program provides a comprehensive evaluation and improvement mechanism for surge protectors. Through testing under a variety of simulated and actual operating conditions, the system's performance and emergency response capabilities are fully verified. In particular, testing under extreme conditions, such as high temperature and humidity changes, ensures stable operation of the system in the most difficult environments. This comprehensive testing program is essential to ensure system reliability and continuous optimization, ensuring that the surge protector can provide effective protection under various voltage and current abnormal conditions.

[0117] The beneficial effects of this embodiment are:

[0118] 1. Through the intelligent voltage sensing and adaptive regulation system, combined with the machine learning algorithm, the voltage abnormality threshold is dynamically adjusted, so that the protector can adapt to different grid environments and conditions. This adaptive capability improves the system's recognition accuracy of voltage fluctuations and reduces the possibility of false alarms.

[0119] 2. Current monitoring and control system combines dynamic current monitoring and prediction, and uses time series analysis algorithms (such as ARIMA) to predict current trends. This predictive capability allows the system to more accurately adjust the sensitivity of the cut-off mechanism, improving the efficiency and stability of the protector.

[0120] 3. By combining voltage and current data analysis, using machine learning technology of logistic regression and Kalman filtering algorithm, effective linkage between algorithms is achieved. This collaborative control and self-correction mechanism enhances the system's ability to adapt to changes in the power grid environment, improves the accuracy of response and the long-term stability of the system.

[0121] 2. Embodiment 2:

[0122] The embodiment of the non-relay surge protector is specifically described using a scenario of a household electrical system. Assuming that the rated voltage of the household electrical system is 220V, the following parameters and workflow can be set:

[0123] Voltage detection unit:

[0124] The safety voltage range is set to 198V to 242V (i.e. 220V±10%).

[0125] Monitor the voltage in real time. If the voltage exceeds 242V or is lower than 198V, the quick cut-off mechanism is triggered.

[0126] The threshold comparison logic is: if Vcurrent-220V>22V, the cut-off is triggered.

[0127] Quick-cut mechanism:

[0128] Includes solid state relays with a response time of less than 1 millisecond.

[0129] Once a voltage abnormality is detected, the power supply is cut off immediately.

[0130] Current monitoring and control system:

[0131] Set the safety current threshold to 10A.

[0132] A Hall Effect sensor is used to monitor the current in real time and trigger a cutoff when the current exceeds 10A.

[0133] Self-recovery system:

[0134] The temperature threshold of the temperature sensitive element is set to 75°C.

[0135] When it is detected that the temperature exceeds the threshold, the circuit is automatically disconnected and the connection is automatically restored after cooling.

[0136] This design allows the surge protector to operate efficiently in the home electrical system, responding instantly to voltage and current anomalies to protect home appliances from damage. The self-recovery mechanism also reduces the inconvenience caused by temporary faults and ensures the continuous operation of the home electrical system. Through this practical application example, those skilled in the art can better understand and implement this non-recurrent surge protector.

Claims

1. A surge protector without continuous current, characterized in that: include: Voltage detection unit; Rapid cut-off system; Current monitoring and control system; Self-recovery system; The voltage detection unit is used to monitor the voltage of the circuit and compare it with a preset safe voltage range. Once it is detected that the voltage exceeds the safe range, the rapid cut-off system is triggered; The rapid disconnection system includes a solid-state relay and a circuit breaker for disconnecting the circuit; The current monitoring and control system includes a Hall effect sensor, which monitors the current of the circuit in real time, compares it with a set safety threshold, and adjusts the cut-off mechanism; The self-recovery system includes a temperature-sensitive element, through which the temperature of the circuit is monitored, and when the temperature exceeds a set value, the circuit is automatically disconnected, and the connection is restored after cooling; The working process of the voltage detection unit includes: Monitor voltage data in real time and trigger the cut-off mechanism through threshold comparison logic judgment; When the voltage rises sharply and exceeds the preset threshold, a cut-off signal is immediately issued; Dynamically adjust thresholds according to different load conditions and grid environments to improve adaptability and sensitivity; The threshold comparison logic includes: Vcurrent-Vsafe>ΔV; Where Vcurrent is the real-time voltage; Vsafe is the safety voltage; ΔV is the voltage threshold; Dynamically adjust threshold formulas, including: ΔV=k×Vrated, Where k is the preset proportionality factor, Vrated is the rated voltage of the system; The proportionality factor k is adjusted according to the characteristics of the circuit and historical surge data to optimize the response sensitivity and accuracy of the system; The current monitoring and control system workflow includes: Real-time monitoring of current; Determine whether the current exceeds the safety threshold; Adjust the cut-off mechanism response characteristics; Quickly cut off the current; By monitoring the current in real time and triggering the rapid cut-off system when the current reaches or exceeds the safety threshold, it can respond quickly when the current increases sharply or fluctuates abnormally, preventing circuit overload and potential damage. The current decay formula includes: I(t)=I×e -λt ; Where I is the initial current when the surge occurs, λ is the decay constant, and t is the time; Used to predict the decay process of current after a surge occurs, helping to adjust the sensitivity of the cut-off mechanism; Using machine learning techniques such as logistic regression, the cut-off threshold and response strategy are dynamically adjusted according to the changing patterns of voltage and current; A collaborative control algorithm that combines voltage and current data to achieve surge protection response; Use multivariate data analysis to comprehensively consider the changing trends of voltage and current; respond quickly to abnormal voltage and sudden current increases; Dynamically adjust algorithm parameters according to different operating conditions of the power grid, load changes and voltage fluctuations.

2. The non-relay surge protector according to claim 1, characterized in that: Predict and adjust system behavior through data analysis algorithms; The data analysis algorithm includes Kalman filtering; Self-correction mechanism can automatically adjust detection parameters based on historical performance and current working status; The Kalman filter algorithm is used to learn and adapt to various working conditions in real time.

3. The non-relay current surge protector according to claim 2, characterized in that: Also includes testing and optimizing program systems, Includes testing under a variety of simulated and actual operating conditions; It also includes specific failure mode testing of the system's emergency response capabilities to evaluate the system's performance under extreme or unconventional conditions; It also includes testing under conditions of extreme temperature and humidity changes.

Images