Hearing reactor interaction system and method

Abstract

The invention provides a hearing reactor interaction system and method, and the system comprises a data collection module which is used for collecting an input signal and an output response of the hearing reactor interaction system when a fault of the hearing reactor interaction system is monitored; the interaction characteristic difference acquisition module is used for acquiring an input characteristic value of the interaction system of the hearing reactor according to the acquired input signal of the interaction system; obtaining an output characteristic value of the interaction system of the hearing reactor according to the output response of the interaction system; based on an input characteristic value and an output characteristic value of the interaction system, obtaining an interaction characteristic difference of the interaction system of the hearing reactor; the intra-area fault judgment module is used for determining whether an intra-area fault of the interaction system occurs or not according to the interaction characteristic difference of the interaction system and a protection action criterion; and the interaction system protection module is used for starting the protection action of the interaction system when the internal fault of the interaction system occurs. According to the invention, the reliability and safety of the system can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of interactive system automation, and more particularly, to a hearing reactor interactive system and method. Background Art

[0002] Existing hearing reactor interactive systems have limitations in monitoring and responding to faults. These systems usually rely on simple fault detection mechanisms, such as overload protection or temperature monitoring, which can only detect relatively obvious fault signals, but are difficult to effectively identify complex interactive faults within the system. In addition, traditional fault handling methods are often slow to respond and fail to take timely measures at the early stage of a fault, which may lead to further expansion of the fault and affect the stability and safety of the entire system.

[0003] Hearing reactor interaction systems have important applications in many industries such as electricity, chemical industry, and manufacturing, and their stability is directly related to production safety and efficiency. However, due to the lack of effective fault detection and response mechanisms, existing hearing reactor interaction systems often cannot make timely and accurate judgments and processing when facing complex working conditions.

[0004] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing fault detection method cannot comprehensively analyze the input and output signals of the interactive system, resulting in inaccurate fault judgment; the fault response mechanism is too simple and cannot meet the needs of fast and accurate response under complex working conditions; the lack of in-depth analysis of the internal characteristics of the interactive system makes the fault handling often remain on the surface and cannot fundamentally solve the problem. Summary of the invention

[0005] The present invention provides a hearing reactor interaction system and method.

[0006] In a first aspect of the present invention, there is provided a hearing reactor interaction system, comprising:

[0007] A data acquisition module, for collecting input signals and output responses of the hearing reactor interaction system when a fault is detected in the hearing reactor interaction system;

[0008] An interactive characteristic difference acquisition module is used to obtain an input characteristic value of the hearing reactor interactive system according to the collected interactive system input signal. According to the output response of the interactive system, the output characteristic value of the hearing reactor interactive system is obtained. Then, based on the input characteristic value and the output characteristic value of the interactive system, the interactive characteristic difference of the hearing reactor interactive system is obtained;

[0009] An intra-area fault judgment module, used to determine whether an intra-area fault of the interactive system occurs according to the interactive characteristic difference of the interactive system and the protection action judgment criterion;

[0010] The interactive system protection module is used to start the protection action of the interactive system when a fault occurs in the interactive system area.

[0011] Further, the interactive characteristic difference of the hearing reactor interactive system is obtained by executing the following steps: according to the characteristics of the input signal and the output response of the hearing reactor interactive system at each sampling point, the input characteristic value and the output characteristic value of the interactive system at the corresponding sampling point are obtained;

[0012] According to the input signal strength and frequency of each sampling point, characteristic parameters of the input signal of the interactive system are obtained, and then the input characteristic value of the interactive system at the corresponding sampling point is obtained;

[0013] According to the output response intensity and frequency of each sampling point, characteristic parameters of the output response of the interactive system are obtained, and then the output characteristic values ​​of the hearing reactor interactive system at the corresponding sampling point are obtained;

[0014] Based on the input characteristic values ​​and output characteristic values ​​of the interactive system at all sampling points, the interactive characteristic difference of the hearing reactor interactive system is obtained.

[0015] Furthermore, taking the time when the fault occurs as the initial time and T as the sampling interval, the input characteristic value IF(h) of the interactive system at the hth sampling point is expressed as:

[0016] IF(h)=A I ·log(P I (h))+B I ·f I (h)

[0017] In the formula, A I and B I is the weight coefficient, P I (h) represents the strength of the interactive system input signal at the hth sampling point, f I (h) represents the frequency of the input signal of the interactive system at the hth sampling point.

[0018] Furthermore, the characteristic parameter OF(h) of the output response of the interactive system at the hth sampling point is expressed as:

[0019] OF(h)=A O ·log(P O (h))+B O ·f O (h)

[0020] In the formula, A O and B O is the weight coefficient, P O (h) represents the intensity of the interactive system output response at the hth sampling point, fO (h) represents the frequency of the interactive system output response at the hth sampling point.

[0021] Furthermore, the actual values ​​of the input eigenvalue and output eigenvalue of the interactive system at the hth sampling point are expressed as:

[0022] IF actual (h) = C I IF(h)

[0023] OF actual (h) = C O OF(h)

[0024] In the formula, C I and C O is the actual value conversion factor.

[0025] Furthermore, the interaction characteristic differences EI and EO of the interactive system are respectively expressed as:

[0026]

[0027] In the formula, H represents the total number of sampling points.

[0028] Furthermore, the protection action criterion includes: if the interaction characteristic difference E0 of the hearing reactor interaction system is less than a preset threshold value, it is determined that an in-zone fault of the interaction system occurs.

[0029] Furthermore, the preset threshold value is set as a predetermined threshold value.

[0030] In a second aspect of the present invention, there is provided a hearing reactor interaction method, comprising:

[0031] After the interactive system failure occurs, collecting the input signal and output response of the hearing reactor interactive system;

[0032] According to the collected interactive system input signal, the strength and frequency characteristics of the input signal are obtained, and then the input characteristic value of the hearing reactor interactive system is obtained. According to the output response of the interactive system, the strength and frequency characteristics of the output response are obtained, and then the output characteristic value of the hearing reactor interactive system is obtained;

[0033] According to the characteristics of the input signal and the output response of the hearing reactor interaction system, the actual values ​​of the input characteristic value and the output characteristic value of the interaction system are obtained;

[0034] Based on the input characteristic value and the output characteristic value of the interactive system, obtaining the interactive characteristic difference of the hearing reactor interactive system;

[0035] According to the interactive characteristic difference of the interactive system and the protection action criterion, it is determined whether an intra-area fault of the interactive system occurs; if so, the protection action of the interactive system is initiated.

[0036] Furthermore, the protection action criterion includes: if the interaction characteristic difference EO of the hearing reactor interaction system is less than a preset threshold value, it is determined that an intra-area fault of the interaction system occurs.

[0037] According to the above embodiments of the present invention, at least the following beneficial effects are achieved: the hearing reactor interaction system can provide an efficient and accurate fault detection and response mechanism. By real-time acquisition and analysis of the input signal and output response of the interactive system, the system can accurately calculate the interactive characteristic difference and compare it with the preset protection action criterion, so as to quickly determine whether there is a fault in the zone. This detection method can not only improve the accuracy of fault detection, but also shorten the fault response time, and reduce the downtime and potential losses caused by the fault.

[0038] In addition, the system can flexibly adapt to different working conditions and requirements by adjusting the weight coefficient and the actual value conversion coefficient. This flexibility enables the system to better adapt to complex and changing working environments and improve its reliability and stability under various conditions. By initiating protection actions, the system can take timely measures when a fault is detected to avoid further spread of the fault, protect the hearing reactor from damage, and ensure the continuity and safety of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0040] Figure 1 A schematic diagram of the structure of a hearing reactor interaction system provided by an embodiment of the present invention;

[0041] Figure 2 A schematic diagram of a flow chart of a hearing reactor interaction method provided by an embodiment of the present invention;

[0042] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0044] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0045] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0046] Reference below Figure 1 , Figure 1 FIG. 1 is a schematic diagram of the structure of a hearing reactor interaction system provided by an embodiment of the present invention. Figure 1 As shown, a hearing reactor interaction system 100 includes:

[0047] The data collection module 101 is used to collect the input signal and output response of the hearing reactor interaction system when a fault is detected in the hearing reactor interaction system;

[0048] The interactive characteristic difference acquisition module 102 is used to obtain the input characteristic value of the hearing reactor interactive system according to the collected interactive system input signal; obtain the output characteristic value of the hearing reactor interactive system according to the output response of the interactive system; and obtain the interactive characteristic difference of the hearing reactor interactive system based on the input characteristic value and the output characteristic value of the interactive system;

[0049] An intra-area fault judgment module 103 is used to determine whether an intra-area fault of the interactive system occurs according to the interactive characteristic difference of the interactive system and the protection action criterion;

[0050] The interactive system protection module 104 is used to start the protection action of the interactive system when a fault occurs in the interactive system area.

[0051] It should be noted that the described hearing reactor interactive system implements an automated fault detection and response mechanism. The system can timely identify and respond to possible faults by real-time monitoring and analyzing the input signals and output responses of the interactive system.

[0052] Specifically, the data acquisition module is responsible for collecting the input signals and output responses of the hearing reactor interactive system during normal operation and failure. The input signals include electrical parameters such as voltage and current, while the output responses involve status indications or control signals of the device. The interactive feature difference acquisition module analyzes these signals and extracts key feature values, such as signal strength and frequency, to calculate the interactive feature difference.

[0053] Preferably, in order to improve the accuracy and response speed of the system, advanced signal processing algorithms can be used to optimize the performance of the data acquisition module. At the same time, the interactive feature difference acquisition module can introduce machine learning technology to automatically identify and learn normal and abnormal modes in the interactive system, so as to more accurately calculate the interactive feature difference. In addition, the intra-zone fault judgment module can set multiple protection action criteria to adapt to different fault types and severity.

[0054] In some embodiments, the interaction characteristic difference of the hearing reactor interaction system is obtained by performing the following steps: according to the characteristics of the input signal and the output response of the hearing reactor interaction system at each sampling point, the input characteristic value and the output characteristic value of the interaction system at the corresponding sampling point are obtained;

[0055] According to the input signal strength and frequency of each sampling point, characteristic parameters of the input signal of the interactive system are obtained, and then the input characteristic value of the interactive system at the corresponding sampling point is obtained;

[0056] According to the output response intensity and frequency of each sampling point, characteristic parameters of the output response of the interactive system are obtained, and then the output characteristic values ​​of the hearing reactor interactive system at the corresponding sampling point are obtained;

[0057] Based on the input characteristic values ​​and output characteristic values ​​of the interactive system at all sampling points, the interactive characteristic difference of the hearing reactor interactive system is obtained.

[0058] It should be noted that this embodiment describes in detail how to obtain the interaction characteristic difference of the hearing reactor interaction system, which is achieved by analyzing the characteristics of the input and output signals of the system.

[0059] Specifically, the implementation involves analyzing the characteristics of the input signal and output response at each sampling point. The characteristics of the input signal include the signal strength, frequency, waveform, etc., while the characteristics of the output response include the action time and action strength of the device.

[0060] Furthermore, by quantizing these features, corresponding input feature values ​​and output feature values ​​can be obtained. For example, signal strength can be quantified by the maximum amplitude of the signal, and frequency can be quantified by the period of the signal.

[0061] Preferably, in order to improve the accuracy of the eigenvalues, high-precision sensors can be used to collect signals and digital signal processing technology can be used to extract features. In addition, the importance of different features in calculating input eigenvalues ​​and output eigenvalues ​​can be adjusted by setting different weight coefficients. For example, if the system is more sensitive to changes in signal strength, a higher weight can be assigned to the intensity feature. An adaptive algorithm can also be introduced to dynamically adjust the weight coefficient according to the real-time performance of the system to adapt to different working environments and conditions.

[0062] In some embodiments, the time when the fault occurs is taken as the initial time, T is the sampling interval, and the input characteristic value IF(h) of the interactive system at the hth sampling point is expressed as:

[0063] IF(h)=A I ·log(P I (h))+B I ·f I (h)

[0064] In the formula, A I and B I is the weight coefficient, P I (h) represents the strength of the interactive system input signal at the hth sampling point, f I (h) represents the frequency of the input signal of the interactive system at the hth sampling point.

[0065] It should be noted that this embodiment focuses on how to calculate the input feature value of the interactive system according to the strength and frequency of the input signal.

[0066] Specifically, the characteristic parameters of the interactive system input signal at the hth sampling point include signal strength and frequency. Signal strength can be the maximum amplitude of the signal, and frequency can be the inverse of the period of the signal. Weight coefficients α and β are used to adjust the relative importance of strength and frequency in calculating the input characteristic value. For example, if the system is more sensitive to frequency changes, a higher weight coefficient can be assigned to the frequency.

[0067] Preferably, in order to more accurately reflect the characteristics of the signal, a more complex mathematical model can be used to calculate the input characteristic value. For example, Fourier transform can be used to analyze the spectrum of the signal to more accurately determine the frequency characteristics.

[0068] Furthermore, the weight coefficients α and β can be adjusted in real time to adapt to different signal characteristics, or a self-learning mechanism can be introduced to enable the system to automatically optimize these parameters based on historical data.

[0069] In some embodiments, the characteristic parameter OF(h) of the interactive system output response at the h-th sampling point is expressed as:

[0070] OF(h)=AO ·log(P O (h))+B O ·f O (h)

[0071] In the formula, A O and B O is the weight coefficient, P O (h) represents the intensity of the interactive system output response at the hth sampling point, f o (h) represents the frequency of the interactive system output response at the hth sampling point.

[0072] Specifically, the characteristic parameter OF(h) of the output response of the interactive system at the hth sampling point is determined based on the intensity and frequency of the output response. The intensity of the output response refers to the strength or speed of the device action, while the frequency refers to the number of repetitions or periodicity of the action. The weight coefficients γ and δ are used to adjust the relative importance of intensity and frequency in calculating the output characteristic value. For example, if the system is more sensitive to the frequency change of the action, a higher weight coefficient can be assigned to the frequency.

[0073] Preferably, in order to more accurately capture the characteristics of the output response, advanced signal processing techniques may be used to analyze the output signal. For example, waveform analysis techniques may be used to determine the precise intensity and frequency of the output response.

[0074] Furthermore, the weight coefficients γ and δ can be dynamically adjusted by real-time monitoring of system performance, or machine learning algorithms can be used to predict and optimize these parameters to adapt to different operating conditions and improve the response speed of the system.

[0075] In some embodiments, the actual values ​​of the input characteristic value and the output characteristic value of the interactive system at the hth sampling point are respectively expressed as:

[0076] IF actual (h) = C I IF(h)

[0077] OF actual (h) = C O OF(h)

[0078] In the formula, C I and C O is the actual value conversion factor.

[0079] Specifically, the actual values ​​of the input eigenvalues ​​and output eigenvalues ​​of the interactive system are represented by actual value conversion coefficients. These conversion coefficients can be calibration coefficients, which are used to convert the eigenvalues ​​into actual physical measurements, such as voltage, current or power. The conversion coefficients λ and μ correspond to the input and output eigenvalues, respectively, and are used to adjust the eigenvalues ​​to match the actual system parameters.

[0080] Preferably, the actual value conversion process can be optimized through a calibration procedure to ensure that the conversion coefficients can accurately reflect the actual working state of the system. In addition, an adaptive algorithm can be used to dynamically adjust the conversion coefficients to adapt to changes in the system under different operating conditions. For example, these coefficients can be adjusted based on the real-time performance data of the system, or the coefficients can be optimized using historical fault data to improve the fault detection accuracy of the system.

[0081] In some embodiments, the interaction characteristic differences EI and EO of the interactive system are respectively expressed as:

[0082]

[0083] In the formula, H represents the total number of sampling points.

[0084] Specifically, the interaction feature differences EI and EO are obtained by calculating the difference between the input feature values ​​and the output feature values ​​of all sampling points. The total number of sampling points H is the number of all data points considered when performing the calculation.

[0085] More specifically, in the calculation formula, Σ represents summation, that is, the eigenvalue differences of all sampling points are accumulated. This method can provide a quantitative indicator for evaluating the performance of the interactive system.

[0086] Preferably, in order to improve the calculation accuracy of the interactive feature difference, a more sophisticated sampling strategy may be adopted, such as increasing the number of sampling points H, or adopting a higher-precision sensor to obtain input and output signals.

[0087] Furthermore, a filtering algorithm can be introduced to reduce the impact of noise and improve the accuracy of the eigenvalues. It is also possible to consider using statistical methods, such as moving average or weighted average, to smooth the eigenvalue data to obtain a more stable interactive feature difference.

[0088] In some embodiments, the protection action criterion includes: if the interaction characteristic difference EO of the hearing reactor interaction system is less than a preset threshold value, then determining that an intra-area fault of the interaction system occurs.

[0089] Specifically, the preset threshold value is a pre-set threshold value used to determine whether the interactive characteristic difference EO of the interactive system exceeds a normal range. If EO is less than the preset threshold value, the system will determine that an in-zone fault has occurred.

[0090] Furthermore, this threshold value can be determined based on historical data, experience value or through fault simulation test. It is a key parameter that directly affects the accuracy of fault judgment.

[0091] Preferably, in order to improve the accuracy and reliability of fault judgment, a method of dynamically adjusting the threshold value may be adopted. For example, the threshold value may be automatically adjusted according to the real-time operating status of the system and historical fault data.

[0092] Furthermore, machine learning algorithms can be introduced to analyze a large number of fault cases to learn and predict appropriate threshold values. This approach can make the system more intelligent and able to adapt to different operating conditions and environmental changes.

[0093] In some embodiments, the preset threshold value is set to a predetermined threshold value.

[0094] Specifically, the preset threshold value is a value determined based on system design and operating experience, and is used to compare with the interaction characteristic difference EO. This value can be static or dynamic, depending on the specific requirements of the system and the operating environment.

[0095] Furthermore, in practical applications, the setting of the threshold value needs to take into account factors such as system stability, security, and false alarm rate.

[0096] Preferably, in order to make the preset threshold value more accurate and adaptable, data analysis and statistical methods can be used to determine it. For example, a reasonable threshold value can be determined by collecting a large amount of data under normal operation and fault conditions and using data analysis technology.

[0097] Furthermore, we can consider using adaptive algorithms to dynamically adjust the threshold value based on the real-time performance and historical fault records of the system to improve the fault detection capability of the system. We can also introduce expert systems to optimize the setting of threshold values ​​by combining the knowledge and experience of domain experts.

[0098] The above-mentioned embodiments of the present invention have the following beneficial effects: The hearing reactor interactive system of the present invention can effectively monitor and respond to possible faults in the hearing reactor interactive system. Through the data acquisition module, the system can immediately collect input signals and output responses when a fault is detected, providing accurate data support for subsequent fault analysis. The interactive feature difference acquisition module can calculate the input and output feature values ​​based on the collected signals, and calculate the interactive feature difference, providing a key basis for the judgment of in-zone faults. The in-zone fault judgment module can accurately judge whether an in-zone fault occurs based on the interactive feature difference and the protection action criterion, thereby realizing early detection and timely handling of faults.

[0099] In addition, the hearing reactor interactive system can also start protection actions through the interactive system protection module when a fault is confirmed in the occurrence area, prevent the fault from expanding, and ensure the safe and stable operation of the system. Through precise eigenvalue calculation and real-time characteristic difference analysis, the system can improve the accuracy and response speed of fault detection, reduce downtime and potential losses caused by faults, and thus improve the reliability and safety of the entire system.

[0100] like Figure 2 As shown, a hearing reactor interaction method 200 of some embodiments includes:

[0101] Step 201, after an interactive system failure occurs, collecting input signals and output responses of the hearing reactor interactive system;

[0102] Step 202, according to the collected interactive system input signal, the strength and frequency characteristics of the input signal are obtained, and then the input characteristic value of the hearing reactor interactive system is obtained; according to the output response of the interactive system, the strength and frequency characteristics of the output response are obtained, and then the output characteristic value of the hearing reactor interactive system is obtained;

[0103] Step 203, obtaining actual values ​​of input characteristic values ​​and output characteristic values ​​of the interactive system according to the characteristics of the input signal and the output response of the hearing reactor interactive system;

[0104] Step 204, obtaining an interaction characteristic difference of the hearing reactor interaction system based on the input characteristic value and the output characteristic value of the interaction system;

[0105] Step 205, determining whether an intra-area fault of the interactive system occurs according to the interactive characteristic difference of the interactive system and the protection action criterion; if so, initiating the protection action of the interactive system.

[0106] It is understood that the steps described in the hearing reactor interaction method 200 are similar to those described in the reference Figure 1 Therefore, the modules, features and beneficial effects described above for the hearing reactor interaction system are also applicable to the hearing reactor interaction method 200 and the operations contained therein, and will not be described in detail here.

[0107] In some embodiments, the protection action criterion includes: if the interaction characteristic difference EO of the hearing reactor interaction system is less than a preset threshold value, it is determined that an intra-area fault of the interaction system occurs.

[0108] It should be noted that this embodiment describes in detail the steps of the hearing reactor interaction method, which steps include a series of response measures after a fault occurs.

[0109] Specifically, the method first involves collecting input signals and output responses after a fault occurs in an interactive system. This involves using sensors and data acquisition hardware to collect information about the system status.

[0110] More specifically, the intensity and frequency characteristics of the input signal, as well as the intensity and frequency characteristics of the output response, are analyzed and extracted by a specific algorithm or software. These feature values ​​are then used to calculate the interaction feature difference.

[0111] Preferably, in order to improve the accuracy and efficiency of fault detection, advanced signal processing techniques can be used to optimize the data acquisition and feature extraction process. For example, fast Fourier transform FFT can be used to quickly analyze the frequency domain characteristics of the signal.

[0112] Furthermore, dedicated software algorithms can be developed to automatically calculate the actual values ​​of the input and output eigenvalues ​​and calculate the interactive eigenvalue differences. In order to further optimize the fault judgment process, an artificial intelligence-based fault diagnosis system can be introduced, which is able to learn and identify fault modes and provide more accurate fault prediction and diagnosis.

[0113] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0114] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0115] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0116] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0117] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention to form a technical solution.

Claims

1. A hearing reactor interactive system, characterized in that: The system performs the following steps: A data acquisition module, for collecting input signals and output responses of the hearing reactor interaction system when a fault is detected in the hearing reactor interaction system; An interactive feature difference acquisition module, used to obtain an input feature value of the hearing reactor interactive system according to the collected interactive system input signal; According to the output response of the interactive system, an output characteristic value of the hearing reactor interactive system is obtained; Then, based on the input characteristic value and the output characteristic value of the interactive system, an interactive characteristic difference of the hearing reactor interactive system is obtained; An intra-area fault judgment module, used to determine whether an intra-area fault of the interactive system occurs according to the interactive characteristic difference of the interactive system and the protection action judgment criterion; The interactive system protection module is used to start the protection action of the interactive system when a fault occurs in the interactive system area.

2. The hearing reactor interactive system according to claim 1, characterized in that: The interactive characteristic difference of the hearing reactor interactive system is obtained by executing the following steps: according to the characteristics of the input signal and the output response of the hearing reactor interactive system at each sampling point, the input characteristic value and the output characteristic value of the interactive system at the corresponding sampling point are obtained; According to the input signal strength and frequency of each sampling point, characteristic parameters of the input signal of the interactive system are obtained, and then the input characteristic value of the interactive system at the corresponding sampling point is obtained; According to the output response intensity and frequency of each sampling point, characteristic parameters of the output response of the interactive system are obtained, and then the output characteristic values ​​of the hearing reactor interactive system at the corresponding sampling point are obtained; Based on the input characteristic values ​​and output characteristic values ​​of the interactive system at all sampling points, the interactive characteristic difference of the hearing reactor interactive system is obtained.

3. The hearing reactor interactive system according to claim 2, characterized in that: Taking the time when the fault occurs as the initial time and T as the sampling interval, the input characteristic value IF(h) of the interactive system at the hth sampling point is expressed as: IF(h)=A I ·log(P I (h))+B I ·f I (h) In the formula, A I and B I is the weight coefficient, P I (h) represents the strength of the interactive system input signal at the hth sampling point, f I (h) represents the frequency of the input signal of the interactive system at the hth sampling point.

4. The hearing reactor interactive system according to claim 3, characterized in that: The characteristic parameter OF(h) of the output response of the interactive system at the hth sampling point is expressed as: OF(h)=A O ·log(P O (h))+B O ·f O (h) In the formula, A O and B O is the weight coefficient, P O (h) represents the intensity of the interactive system output response at the hth sampling point, f O (h) represents the frequency of the interactive system output response at the hth sampling point.

5. The hearing reactor interactive system according to claim 4, characterized in that: The actual values ​​of the input eigenvalue and output eigenvalue of the interactive system at the hth sampling point are expressed as: IF actual (h)=C I ·IF(h) OF actual (h)=C O ·OF(h) In the formula, C I and C O is the actual value conversion factor.

6. The hearing reactor interactive system according to claim 5, characterized in that: The interaction characteristic differences EI and EO of the interactive system are respectively expressed as: In the formula, H represents the total number of sampling points.

7. The hearing reactor interactive system according to claim 1, characterized in that: The protection action criterion includes: if the interaction characteristic difference EO of the hearing reactor interaction system is less than a preset threshold value, it is determined that an in-zone fault of the interaction system occurs.

8. The hearing reactor interactive system according to claim 2, characterized in that: The preset threshold value is set as a predetermined threshold value.

9. A hearing reactor interaction method, characterized in that: include: After the interactive system failure occurs, collecting the input signal and output response of the hearing reactor interactive system; According to the collected interactive system input signal, the intensity and frequency characteristics of the input signal are obtained, and then the input characteristic value of the hearing reactor interactive system is obtained; According to the output response of the interactive system, the intensity and frequency characteristics of the output response are obtained, and then the output characteristic value of the hearing reactor interactive system is obtained; According to the characteristics of the input signal and the output response of the hearing reactor interaction system, the actual values ​​of the input characteristic value and the output characteristic value of the interaction system are obtained; Based on the input characteristic value and the output characteristic value of the interactive system, obtaining the interactive characteristic difference of the hearing reactor interactive system; According to the interactive characteristic difference of the interactive system and the protection action criterion, it is determined whether an intra-area fault of the interactive system occurs; if so, the protection action of the interactive system is initiated.

10. The hearing reactor interaction method according to claim 9, characterized in that: The protection action criterion includes: if the interaction characteristic difference EO of the hearing reactor interaction system is less than a preset threshold value, it is determined that an in-zone fault of the interaction system occurs.

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