Double-loop circuit safety control method and system

Abstract

The invention discloses a safety control method and system for a double-loop circuit, and the method comprises the steps: S1, monitoring the current state of each loop in the double-loop circuit, and recording the time and amplitude of each current switching, S2, predicting the intensity of impending electromagnetic interference based on the time and amplitude of current switching, and S3, carrying out the safety control of the double-loop circuit according to the predicted electromagnetic interference intensity. S4, when it is detected that the electromagnetic interference exceeds a preset threshold value, a power supply of the mechanical part is automatically cut off, and the service life of the mechanical part is protected; according to the safety control method and system for the double-loop circuit, continuous and safe operation of the double-loop circuit is ensured, real-time monitoring and intelligent adjustment of the current state, the electromagnetic interference intensity and the operation state of a mechanical part are achieved, human intervention is reduced, the automation level of the system is improved, and the safety of the system is improved. The problem that the service life of mechanical parts is shortened due to electromagnetic interference caused by frequent current switching in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit safety control, and particularly relates to a dual-loop circuit safety control method and system. Background Art

[0002] In the prior art, the dual-loop circuit safety control method is widely applied in the power system and industrial automation fields. Its main purpose is to provide higher circuit safety and fault tolerance through two independent current loops. When the main loop fails or is overloaded, the standby loop can be quickly put into operation to ensure the continuous and stable operation of the system.

[0003] However, this dual-loop control method usually needs to frequently switch the current path to achieve its function. This switching behavior will cause significant electromagnetic interference. The electromagnetic interference will not only affect the normal operation of surrounding electronic devices, but also may cause the control system to malfunction, further reducing the reliability of the system. In addition, during the frequent current switching process, the generation of electromagnetic interference is often accompanied by the high-frequency operation of mechanical components (such as relays or contactors). This high-intensity mechanical action significantly shortens the service life of the components, increases the maintenance cost and reduces the economic benefit and usage efficiency of the equipment. Summary of the Invention

[0004] The purpose of the present invention is to provide a dual-loop circuit safety control method and system to solve the problem of the shortened service life of mechanical components caused by electromagnetic interference due to frequent current switching in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A dual-loop circuit safety control method, the method comprising:

[0006] S1. Monitor the current states of each loop in the dual-loop circuit, and record the time and amplitude of each current switch;

[0007] S2. Predict the upcoming electromagnetic interference intensity based on the time and amplitude of the current switch;

[0008] S3. According to the predicted electromagnetic interference intensity, adjust the filter parameters in the loop to reduce the electromagnetic interference, including defining fuzzy control variables, including electromagnetic interference intensity and filter parameters, calculating the weight of each fuzzy rule using the membership function, and obtaining the final output through weighted summation. The specific formula is:

[0009]

[0010] wherein, u represents the final output value of the filter parameter, w i represents the weight of the membership function, u iRepresents the output value corresponding to the fuzzy rule, n represents the number of fuzzy rules, and i represents the fuzzy rule index number;

[0011] S4. When it is detected that the electromagnetic interference exceeds the preset threshold, automatically cut off the power supply of the mechanical component to protect its lifespan.

[0012] Preferably, S1 includes:

[0013] Construct a Kalman filter model for the current signal monitored in real time in the double-loop circuit to predict the change trend of the current state. The specific formula is:

[0014]

[0015]

[0016] Where, Represents the estimated value of the current state at the current moment, A represents the state transition matrix, B represents the input control matrix, u k-1 Represents the control input value at the previous moment, w k Represents the process noise, z k Represents the measured value at the current moment, H represents the measurement matrix, v k Represents the measurement noise, and k represents the current discrete time step;

[0017] Set a threshold. When the current signal exceeds the threshold, record the switching time point and the amplitude change value, and update the filtering model using the difference between the prediction and the actual measurement result to improve the subsequent monitoring accuracy.

[0018] Preferably, S2 includes:

[0019] Model the historical current switching data, calculate the switching frequency per unit time, and predict the possible number of switchings in the future time. The specific formula is:

[0020]

[0021] Where, P(m, λ) represents the possibility that the number of current switchings in the double-loop circuit is m within a unit time, m represents the number of current switchings detected within a unit time, λ represents the average number of current switchings per unit time in the double-loop circuit, and e represents the base of the natural logarithm;

[0022] Combined with the switching amplitude, estimate the upcoming electromagnetic interference intensity.

[0023] Preferably, S4 includes:

[0024] Monitor in real time the temperature change of the mechanical component caused by electromagnetic interference. The specific formula is:

[0025]

[0026] Among them, T(t) represents the temperature rise of the mechanical component due to electromagnetic interference, the real-time temperature at time t, T 0 represents the initial temperature of the mechanical component before being subjected to electromagnetic interference, e represents the base of the natural logarithm, t represents time, and τ represents the time constant;

[0027] Set a safe operating temperature. When T(t) exceeds the safe operating temperature, automatically cut off the power supply of the mechanical component, record the fault information, and send an alarm signal to prompt the maintenance personnel to conduct an inspection.

[0028] A dual-loop circuit safety control system for implementing the steps of the dual-loop circuit safety control method, characterized in that the system includes:

[0029] A monitoring module for real-time monitoring of the current status of each loop in the dual-loop circuit and recording the time and amplitude of each current switch;

[0030] A prediction module connected to the monitoring module for predicting the upcoming electromagnetic interference intensity based on the time and amplitude of the current switch;

[0031] An adjustment module connected to the prediction module for adjusting the filter parameters in the loop to reduce electromagnetic interference according to the predicted electromagnetic interference intensity;

[0032] A protection module connected to the adjustment module for automatically cutting off the power supply of the mechanical component when detecting that the electromagnetic interference intensity exceeds a preset threshold to protect the life of the mechanical component;

[0033] Preferably, the monitoring module includes a current sensor and a data processing unit. The current sensor is used to collect the current signal of the dual-loop circuit in real time, and the data processing unit is used to analyze the collected current signal and record the time and amplitude of the current switch.

[0034] Preferably, the data processing unit includes a signal processor with a filtering algorithm for denoising the collected current signal to improve the accuracy of recording the current switch time and amplitude.

[0035] Preferably, the prediction module adopts a probability calculation model based on Poisson distribution for predicting the upcoming electromagnetic interference intensity according to the historical current switch data and the current time and amplitude of the current switch.

[0036] Preferably, the adjustment module includes an adaptive filter for dynamically adjusting the cut-off frequency or gain parameter of the filter to reduce electromagnetic interference according to the electromagnetic interference intensity output by the prediction module.

[0037] Preferably, the protection module includes an alarm unit for sending an alarm signal after cutting off the power supply of the mechanical component to prompt the user to check and maintain the system.

[0038] As can be seen from the above technical solutions, the present invention has the following beneficial effects:

[0039] The dual-loop circuit safety control method and system monitor the current states of each loop in the dual-loop circuit, record the time and amplitude of each current switch, predict the upcoming electromagnetic interference intensity based on the time and amplitude of the current switch, adjust the filter parameters in the loop to reduce electromagnetic interference according to the predicted electromagnetic interference intensity, automatically cut off the power supply of the mechanical component to protect its life when detecting that the electromagnetic interference exceeds the preset threshold, can effectively reduce the generation of electromagnetic interference and its interference on the operation of surrounding electronic devices and control systems during the current switching process, significantly improve the reliability of the system, avoid the excessive operation of the mechanical component under high-frequency current switching conditions, reduce the wear and loss of the mechanical component, thereby extending the service life of the component, optimize the circuit performance through the dynamic adjustment of the filter, improve the operation efficiency of the device, further enhance the economic benefits of the device, enhance the fault tolerance and stability of the system in a complex environment, ensure the continuous safe operation of the dual-loop circuit, realize the real-time monitoring and intelligent adjustment of the current state, electromagnetic interference intensity and mechanical component operation state, reduce human intervention, improve the automation level of the system, and solve the problem of shortened service life of mechanical components caused by electromagnetic interference due to frequent current switching in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a flowchart of the method of the present invention;

[0041] Figure 2 is a schematic diagram of the connection of system modules of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] As Figure 1-2 shown, the present invention provides a technical solution: a dual-loop circuit safety control method, the method including:

[0044] S1. Monitor the current states of each loop in the dual-loop circuit and record the time and amplitude of each current switch;

[0045] S2. Predict the upcoming electromagnetic interference intensity based on the time and amplitude of current switching;

[0046] S3. Adjust the filter parameters in the circuit to mitigate electromagnetic interference according to the predicted electromagnetic interference intensity, including defining fuzzy control variables, including electromagnetic interference intensity and filter parameters, calculating the weights of each fuzzy rule using the membership function, and obtaining the final output through weighted summation. The specific formula is:

[0047]

[0048] where, u represents the final output value of the filter parameter, w i represents the weight of the membership function, u i represents the output value corresponding to the fuzzy rule, n represents the number of fuzzy rules, and i represents the fuzzy rule index number;

[0049] S4. When it is detected that the electromagnetic interference exceeds the preset threshold, automatically cut off the power supply of the mechanical component to protect its lifespan.

[0050] In the above solution, by real-time monitoring the current states of each loop in the dual-loop circuit, characteristic parameters such as the time and amplitude of current switching are obtained, and a correlation model with the electromagnetic interference intensity is established to predict the intensity and trend of electromagnetic interference in advance.

[0051] To mitigate the adverse effects brought by electromagnetic interference, fuzzy control technology is used to adjust the filter parameters. By defining fuzzy control variables (such as electromagnetic interference intensity and filter parameters), fuzzy rule calculations are performed using the membership function, and the optimal output value of the filter parameter is obtained by combining the formula so as to optimize the electromagnetic interference suppression effect. When it is detected that the electromagnetic interference intensity exceeds the predicted threshold, the system will automatically disconnect the power supply of the mechanical component to avoid equipment damage caused by strong interference and extend the equipment lifespan. By real-time monitoring the current state, predicting the electromagnetic interference intensity, and adjusting the filter parameters, the present invention can effectively reduce the impact of electromagnetic interference, improve the anti-interference ability and stability of the system. The introduction of fuzzy control technology makes the adjustment of filter parameters more flexible, accurate, and adaptable, and can automatically adjust according to different interference intensities. In addition, the automatic power-off protection mechanism can protect the equipment in a timely manner under high-intensity interference, avoid equipment damage, extend the service life of the equipment, and improve the safety and reliability of the system at the same time.

[0052] S1 includes constructing a Kalman filter model for the current signals monitored in real time in the dual-loop circuit to predict the change trend of the current state. The specific formula is:

[0053]

[0054]

[0055] wherein, represents the estimated value of the current state at the current moment, A represents the state transition matrix, B represents the input control matrix, and u k-1 represents the control input value at the previous moment, and w k represents the process noise, and z k represents the measured value at the current moment, H represents the measurement matrix, and v k represents the measurement noise, and k represents the current discrete time step;

[0056] Set a threshold value. When the current signal exceeds the threshold value, record the switching time point and the amplitude change value, and update the filtering model using the difference between the prediction and the actual measurement results to improve the subsequent monitoring accuracy.

[0057] In the above solution, by performing real-time monitoring on the current signals of the double-loop circuit, the Kalman filtering algorithm is used to predict the change trend of the current state. The Kalman filtering model is based on the state equation and the measurement equation of discrete time steps, and can dynamically estimate the current state according to the current state transition matrix (A) and the measurement matrix (H). The Kalman filtering model takes into account the process noise (w k ) and the measurement noise (v k ) in the calculation, considering the interference and uncertainty in the actual environment, so that the prediction result is more accurate. When the current signal exceeds the set threshold value, record the key parameters of the current switching (such as the time point and the amplitude change value), and update the filtering model according to the deviation between the predicted value and the measured value, further improving the monitoring accuracy and the system response ability. By implementing the Kalman filtering model to achieve high-precision prediction of the current state, the monitoring ability of the system for current anomalies is improved. Real-time updating of the filtering model enables it to adapt to the change of the current state, improving the self-adaptability and robustness of the monitoring algorithm. Recording and analyzing the key parameters (switching time point and amplitude change value) can provide important data support for subsequent circuit control, enhancing the stability of the system. The process noise and the measurement noise are fully considered in the prediction process, reducing the influence of external interference on the monitoring result of the current state.

[0058] S2 includes modeling the historical current switching data, calculating the switching frequency per unit time, and predicting the possible number of switches in the future time. The specific formula is:

[0059]

[0060] wherein, P(m, λ) represents the probability that the number of current switches in the double-loop circuit is in a unit time, m represents the number of current switches detected per unit time, λ represents the average number of current switches per unit time in the double-loop circuit, and e represents the base of the natural logarithm;

[0061] Estimate the upcoming electromagnetic interference intensity in combination with the switching amplitude.

[0062] In the above solution, through the statistical analysis of the historical current switching data of the double-loop circuit, the switching frequency per unit time is calculated using the Poisson distribution model, and the probability P(m, λ) of the switching times m is obtained. The Poisson distribution is suitable for describing the random distribution of the number of events occurring per unit time, so it is particularly suitable for the modeling and prediction of current switching events.

[0063] First, calculate the average number of current switches λ based on historical data, and then use the formula

[0064] Predict the possible number of current switches and frequency distribution in the future time.

[0065] Combined with factors such as the switching amplitude, estimate the upcoming electromagnetic interference intensity, so as to provide basic data support for subsequent interference suppression and circuit protection. Calculating the probability distribution of current switching can effectively predict the possible number of current switches and frequencies in the future, and then estimate the electromagnetic interference intensity. The statistical analysis and modeling of historical switching data can fully explore the hidden laws, improve the scientificity and accuracy of prediction. The simplicity and efficiency of the model enable it to adapt to the current switching prediction needs of different scenarios, with a small amount of calculation, convenient for real-time application. The prediction results can provide a strong basis for adjusting the filter parameters and triggering the protection mechanism, improving the response speed and accuracy of the system.

[0066] S4 includes real-time monitoring of the temperature change of mechanical components caused by electromagnetic interference, and the specific formula is:

[0067]

[0068] Among them, T(t) represents the temperature rise of the mechanical component due to electromagnetic interference, the real-time temperature at time t, T 0 represents the initial temperature of the mechanical component before being affected by electromagnetic interference, e represents the base of the natural logarithm, t represents time, and τ represents the time constant;

[0069] Set a safe operating temperature. When T(t) exceeds the safe operating temperature, automatically cut off the power supply of the mechanical component, record the fault information, and send an alarm signal to prompt the maintenance personnel to check.

[0070] In the above solution, real-time monitor the temperature change trend of the mechanical component, using the formula Perform dynamic estimation. This formula describes the process of temperature change of mechanical components affected by electromagnetic interference. The time constant τ represents the temperature decay rate, and its magnitude is related to factors such as material properties and cooling environment. By setting a safe operating temperature threshold, when the real-time monitored temperature T(t) exceeds this threshold, the system will automatically trigger a protection mechanism to immediately cut off the power supply of the mechanical components, preventing equipment damage or failures caused by high temperature. At the same time, record the fault information and send out an alarm signal so that maintenance personnel can check and eliminate potential hazards in a timely manner. Through real-time temperature monitoring and a fast-response power-off mechanism, mechanical components are effectively protected from high-temperature damage, improving the safety and reliability of the system. By effectively monitoring and controlling the temperature rise caused by electromagnetic interference, the impact of high temperature on mechanical components is reduced, extending the service life of the equipment. The triggering of the alarm signal and the recording of fault information help to quickly locate problems and take targeted maintenance measures, shortening the repair time and improving the operation and maintenance efficiency. By adjusting the time constant τ and the safe operating temperature threshold, different equipment types and operating environments can be adapted, enhancing the applicability of the solution.

[0071] A dual-loop circuit safety control system is also provided for implementing the steps of the dual-loop circuit safety control method. The system includes:

[0072] A monitoring module for real-time monitoring of the current status of each loop in the dual-loop circuit and recording the time and amplitude of each current switch.

[0073] A prediction module connected to the monitoring module for predicting the upcoming electromagnetic interference intensity based on the time and amplitude of the current switch.

[0074] An adjustment module connected to the prediction module for adjusting the filter parameters in the loop to reduce electromagnetic interference according to the predicted electromagnetic interference intensity.

[0075] A protection module connected to the adjustment module for automatically cutting off the power supply of the mechanical components when the detected electromagnetic interference intensity exceeds a preset threshold to protect the life of the mechanical components.

[0076] In the above system, the monitoring module monitors the current status of each loop of the dual-loop circuit in real time, records the time and amplitude of each current switch, and provides basic data for the prediction module. The prediction module uses these data and calculates and predicts the upcoming electromagnetic interference intensity by methods such as Kalman filtering or Poisson distribution. After receiving the prediction result, the adjustment module adjusts the filter parameters according to the predicted interference intensity, such as changing the cut-off frequency or gain of the filter, so as to effectively suppress the impact of electromagnetic interference on the system. When the protection module detects that the electromagnetic interference intensity exceeds the preset safety threshold, it will immediately cut off the power supply of the mechanical components to prevent equipment damage caused by strong interference, and at the same time trigger an alarm signal and record the fault information for subsequent analysis and maintenance. The system consists of monitoring, prediction, adjustment, and protection modules, with a clear structure and definite functions, which are convenient for expansion and maintenance. The prediction module accurately predicts the electromagnetic interference intensity, and the adjustment module quickly adjusts the filter parameters according to the prediction result, significantly improving the efficiency and effect of electromagnetic interference suppression. The protection module can quickly cut off the power supply when the electromagnetic interference exceeds the safety threshold, avoiding overheating damage of mechanical components and improving the reliability and lifespan of the system. Each module can flexibly adjust algorithms and parameters according to different scenarios. For example, the monitoring module supports different current monitoring technologies, and the prediction module supports multiple prediction models, with strong adaptability.

[0077] The monitoring module includes a current sensor and a data processing unit. The current sensor is used to collect the current signals of the dual-loop circuit in real time, and the data processing unit is used to analyze the collected current signals and record the time and amplitude of the current switch. In the above system, the monitoring module consists of a current sensor and a data processing unit. The current sensor collects the current signals in the dual-loop circuit in real time, captures the transient current changes of each loop, and ensures the real-time and accuracy of signal acquisition. The collected current signals are transmitted to the data processing unit, which filters, denoises, and extracts features from the signals, analyzes the change trend and switching characteristics of the current signals, including recording key parameters such as the time and amplitude of the current switch. These analysis results provide high-quality input data for the calculation of the electromagnetic interference intensity by the subsequent prediction module, improving the overall prediction and regulation accuracy of the system. Through the real-time acquisition function of the current sensor, the current signals in the dual-loop circuit can be accurately captured, providing accurate basic data for subsequent processing. The data processing unit can analyze the switching characteristics of the current signals in real time, quickly respond to the current changes in the system, and provide timely feedback for the prediction module. The data processing unit preprocesses and records the collected signals, ensuring data quality while reducing redundancy and optimizing the subsequent processing process. The sensor and processing unit of the monitoring module are relatively independent, facilitating hardware upgrade or algorithm optimization, and improving the scalability and adaptability of the system.

[0078] The data processing unit includes a signal processor with a filtering algorithm for denoising the acquired current signal to improve the accuracy of recording the current switching time and amplitude. In the above system, the data processing unit contains a signal processor with a filtering algorithm. The signal processor receives the current signal acquired by the current sensor and performs real-time denoising on the signal. The filtering algorithm can use digital filtering (such as low-pass filtering, band-pass filtering) or advanced signal processing techniques (such as wavelet transform or adaptive filtering) to effectively suppress external noise and interference signals while retaining the key features in the current switching signal. The processed current signal has a higher signal-to-noise ratio, making the detection of the current switching time and amplitude more accurate, providing high-quality input data for subsequent electromagnetic interference prediction and filter parameter adjustment. By effectively removing noise through the filtering algorithm, the quality of the current signal is improved, ensuring the accuracy of signal processing. The signal-to-noise ratio of the filtered signal is increased, making the recording of the current switching time and amplitude more precise, laying a reliable data foundation for the prediction and protection functions of the system. The filtering algorithm can adapt to different types of noise interference, improving the stability and adaptability of the system in a complex electromagnetic environment. The signal processor can independently execute the filtering algorithm, reducing the dependence on the central processing unit and optimizing the overall operating efficiency of the system.

[0079] The prediction module adopts a probability calculation model based on the Poisson distribution to predict the intensity of upcoming electromagnetic interference according to historical current switching data and the time and amplitude of the current switching at present. In the above system, the prediction module adopts a probability calculation model based on the Poisson distribution, using historical current switching data and the current switching time and amplitude monitored in real time to predict the intensity of electromagnetic interference. The model calculates the probability of the number of current switchings m per unit time through the formula where λ represents the average number of historical current switchings. The prediction module combines the time and amplitude of the current switching at present, compares them with the historical data, and calculates the change trend of the interference intensity and the possible interference intensity value, providing a reference basis for the adjustment and protection module of the system. In this way, the prediction module not only realizes the rapid prediction of the electromagnetic interference intensity but also improves the accuracy and efficiency of the system in dealing with interference. The probability calculation model based on the Poisson distribution can quickly predict the electromagnetic interference intensity, providing accurate data support for filter parameter adjustment and protection strategy formulation. Combining real-time current switching data and historical statistical data, the prediction module can dynamically adjust the model parameters to adapt to the changes in the current state in real time. Through the prediction of the probability model, the response ability of the system to sudden interference is improved, and the impact of interference on the circuit and equipment is reduced. The Poisson distribution model is simple to calculate and occupies less resources, meeting the real-time processing requirements of embedded systems.

[0080] The adjustment module includes an adaptive filter, which is used to dynamically adjust the cut-off frequency or gain parameter of the filter according to the electromagnetic interference intensity output by the prediction module to mitigate electromagnetic interference. In the above system, the adjustment module is equipped with an adaptive filter that can adjust its own parameters in real time according to the electromagnetic interference intensity output by the prediction module. Specifically, when the prediction module detects a high electromagnetic interference intensity, the adaptive filter filters out more high-frequency noise by adjusting its cut-off frequency, or dynamically optimizes the gain parameter to enhance the ability to suppress interference signals. The core working principle of the filter is to adjust the filtering characteristics according to the change of electromagnetic interference intensity, so that the circuit system always maintains the optimal signal processing state, thereby effectively reducing the impact of interference on the normal operation of the dual-loop circuit. Through this dynamic adjustment mechanism, the system can achieve efficient suppression of electromagnetic interference, improve the stability and reliability of the circuit. The adaptive filter can adjust parameters in real time according to the change of electromagnetic interference intensity to ensure that the filtering effect is always in the optimal state. By dynamically adjusting the cut-off frequency or gain parameter, it effectively reduces the impact of electromagnetic interference on the circuit, improves the anti-interference ability of the system. The fast response ability of the adjustment module enables the circuit to operate stably under the condition of fluctuating interference intensity, reduces the risk of equipment failure. The parameter adjustment range of the adaptive filter is wide, and it can adapt to electromagnetic interference with different intensities and frequency characteristics.

[0081] The protection module includes an alarm unit, which is used to send an alarm signal after cutting off the power supply of the mechanical component to prompt the user to check and maintain the system. In the above system, when the protection module detects that the electromagnetic interference intensity exceeds the preset threshold, it will automatically cut off the power supply of the mechanical component to prevent the equipment from being damaged due to overload or overheating. At the same time as the power supply is cut off, the alarm unit is triggered to send a visual or audible alarm signal, such as a warning light flashing or a buzzer sounding, to prompt the user to check the system operation status and the cause of the fault in time. The alarm unit can also be connected to a remote communication device to send alarm information to maintenance personnel via text message, email or the Internet of Things platform, so as to achieve remote monitoring and quick response. The setting of the alarm unit not only improves the security of the system, but also reduces equipment damage or operation interruption caused by failure not being processed in time. The alarm unit sends an alarm while cutting off the power supply, which can quickly prompt the user to take inspection and maintenance measures, avoid the system being in a fault state for a long time, reduce the risk of equipment damage caused by electromagnetic interference through power-off protection and alarm linkage, extend the service life of the mechanical component. The intuitive presentation or remote transmission of the alarm information helps the user quickly locate the problem, shorten the fault handling time, and improve the maintenance efficiency. The alarm unit can adapt to the requirements of different operating environments by adjusting the alarm form (such as the intensity or frequency of the sound and light signal).

[0082] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A dual-loop circuit safety control method, characterized in that: The method comprises: S1. Monitor the current state of each circuit in the dual-circuit circuit and record the time and amplitude of each current switching; S2, predicting the intensity of the upcoming electromagnetic interference based on the time and amplitude of the current switching; S3. According to the predicted electromagnetic interference intensity, the filter parameters in the loop are adjusted to reduce the electromagnetic interference, including defining fuzzy control variables, including electromagnetic interference intensity and filter parameters, using membership function to calculate the weight of each fuzzy rule, and obtaining the final output through weighted summation. The specific formula is: Among them, u represents the final output value of the filter parameter, w i represents the weight of the membership function, u i represents the output value corresponding to the fuzzy rule, n represents the number of fuzzy rules, and i represents the index number of the fuzzy rule; S4. When electromagnetic interference is detected exceeding a preset threshold, the power supply of mechanical components is automatically cut off to protect their life.

2. A dual-loop circuit safety control method according to claim 1, characterized in that: The S1 includes: A Kalman filter model is constructed for the current signal monitored in real time in the dual-loop circuit to predict the change trend of the current state. The specific formula is: in, represents the estimated value of the current state at the current moment, A represents the state transfer matrix, B represents the input control matrix, and u k-1 represents the control input value at the previous moment, w k represents the process noise, z k represents the measurement value at the current moment, H represents the measurement matrix, v k represents the measurement noise, k represents the current discrete time step; Set a threshold. When the current signal exceeds the threshold, record the switching time point and amplitude change value, and use the difference between the predicted and actual measurement results to update the filter model to improve the subsequent monitoring accuracy.

3. A dual-circuit circuit safety control method according to claim 1, characterized in that: The S2 includes: The historical current switching data is modeled, the switching frequency per unit time is calculated, and the number of switching times that may occur in the future is predicted. The specific formula is: Wherein, P(m, λ) represents the probability that the number of current switching in the dual-loop circuit is 1 in a unit time, m represents the number of current switching detected in a unit time, λ represents the average number of current switching in the dual-loop circuit in a unit time, and e represents the base of the natural logarithm; Combined with the switching amplitude, the intensity of the upcoming electromagnetic interference is estimated.

4. A dual-circuit circuit safety control method according to claim 1, characterized in that: The S4 includes: Real-time monitoring of temperature changes of mechanical components caused by electromagnetic interference. The specific formula is: Wherein, T(t) represents the temperature rise of the mechanical component due to electromagnetic interference, the real-time temperature at time t, T0 represents the initial temperature of the mechanical component before being subjected to electromagnetic interference, e represents the base of the natural logarithm, t represents time, and τ represents the time constant; A safe operating temperature is set. When T(t) exceeds the safe operating temperature, the power supply of the mechanical components is automatically cut off, the fault information is recorded, and an alarm signal is issued to prompt maintenance personnel to check.

5. A dual-circuit circuit safety control system, used to implement the steps of the dual-circuit circuit safety control method according to any one of claims 1 to 4, characterized in that: The system comprises: A monitoring module is used to monitor the current status of each circuit in the dual-circuit circuit in real time and record the time and amplitude of each current switching; A prediction module connected to the monitoring module, used to predict the intensity of the upcoming electromagnetic interference based on the time and amplitude of the current switching; A regulating module connected to the prediction module is used to adjust the filter parameters in the loop to reduce the electromagnetic interference according to the predicted electromagnetic interference intensity; The protection module connected to the adjustment module is used to automatically cut off the power supply of the mechanical components when it is detected that the electromagnetic interference intensity exceeds a preset threshold value, so as to protect the life of the mechanical components.

6. A dual-circuit circuit safety control system according to claim 5, characterized in that: The monitoring module includes a current sensor and a data processing unit. The current sensor is used to collect the current signal of the dual-loop circuit in real time. The data processing unit is used to analyze the collected current signal and record the time and amplitude of the current switching.

7. A dual-circuit circuit safety control system according to claim 6, characterized in that: The data processing unit includes a signal processor with a filtering algorithm, which is used to perform noise removal on the collected current signal to improve the accuracy of current switching time and amplitude recording.

8. A dual-circuit circuit safety control system according to claim 5, characterized in that: The prediction module adopts a probability calculation model based on Poisson distribution to predict the intensity of the upcoming electromagnetic interference according to the historical current switching data and the time and amplitude of the current current switching.

9. A dual-circuit circuit safety control system according to claim 5, characterized in that: The adjustment module includes an adaptive filter, which is used to dynamically adjust the cutoff frequency or gain parameter of the filter according to the electromagnetic interference intensity output by the prediction module to reduce the electromagnetic interference.

10. A dual-circuit circuit safety control system according to claim 5, characterized in that: The protection module includes an alarm unit for sending an alarm signal after cutting off the power supply of the mechanical component to prompt the user to check and maintain the system.

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