Electromagnetic interference regulation and control system and method and electronic equipment

Abstract

The invention provides an electromagnetic interference regulation and control system and method and electronic equipment, which can be applied to the technical field of electromagnetic interference optimization. The electromagnetic interference regulation and control system comprises an electromagnetic interference detection module used for detecting the magnetic field interference intensity of a server assembly to obtain a magnetic field intensity signal of the server assembly; the monitoring module is electrically connected with the server component and the electromagnetic interference detection module, and is used for processing the magnetic field intensity signal and the operation parameters of the server component based on an interference fuzzy inference rule under the condition that the magnetic field intensity signal is greater than or equal to a preset value to obtain optimized operation parameters of the server component, and sending the optimized operation parameters to the server component; the interference fuzzy inference rule is generated according to historical operation parameters of the server component; and the regulation and control module is electrically connected with the monitoring module and the server assembly, and is used for generating an optimization signal according to the optimized operation parameter, and adjusting the operation parameter of the server assembly by using the optimization signal, so that the magnetic field intensity signal of the server assembly is smaller than a preset value.

Description

Technical Field

[0001] This application relates to the technical field of electromagnetic interference optimization, and specifically to an electromagnetic interference regulation system, method, and electronic device. Background Art

[0002] With the rapid development of science and technology, servers are widely used in various intelligent fields. In order to adapt to the current high requirements for server performance, reliability, and power consumption, it is necessary to carry out refined design of server hardware, resulting in a significant increase in hardware complexity. However, with the increase in hardware complexity, electromagnetic interference may be generated during hardware operation, making it difficult for the server to operate stably. Summary of the Invention

[0003] In view of the above problems, this application provides an electromagnetic interference regulation system, method, and electronic device.

[0004] According to the first aspect of this application, an electromagnetic interference regulation system is provided, including: an electromagnetic interference detection module for detecting the magnetic field interference intensity of server components to obtain the magnetic field intensity signal of the server components; a monitoring module electrically connected to the server components and the electromagnetic interference detection module for processing the magnetic field intensity signal and the operating parameters of the server components based on interference fuzzy inference rules to obtain the optimized operating parameters of the server components when the magnetic field intensity signal is greater than or equal to a preset value, where the interference fuzzy inference rules are generated according to the historical operating parameters of the server components; a regulation module electrically connected to the monitoring module and the server components for generating an optimization signal according to the optimized operating parameters and using the optimization signal to adjust the operating parameters of the server components so that the magnetic field intensity signal of the server components is less than the preset value.

[0005] The second aspect of this application provides an electromagnetic interference regulation method, including: when the magnetic field intensity signal of the server components is greater than or equal to a preset value, processing the magnetic field electrical signal and the operating parameters based on interference fuzzy inference rules to obtain the optimized operating parameters of the server components, where the interference fuzzy inference rules are generated according to the historical operating parameters of the server components; generating an optimization signal according to the optimized operating parameters; using a pulse width modulation signal to adjust the operating parameters so that the magnetic field intensity signal of the server components is less than the preset value.

[0006] The third aspect of this application provides an electronic device, including: one or more processors; a memory for storing one or more computer programs, where the above one or more processors execute the above one or more computer programs to implement the steps of the above method.

[0007] The fourth aspect of the present application further provides a computer-readable storage medium, on which a computer program or instruction is stored. When the computer program or instruction is executed by a processor, the steps of the above method are implemented.

[0008] The fifth aspect of the present application further provides a computer program product, including a computer program or instruction. When the computer program or instruction is executed by a processor, the steps of the above method are implemented.

[0009] According to the electromagnetic interference regulation system of the present application, by arranging the electromagnetic interference detection module near the server components that are prone to generate electromagnetic interference, during the real-time operation of the server components, the electromagnetic interference detection module can be used to synchronously detect the magnetic field interference intensity generated by them in real time, and obtain the magnetic field intensity signal of the server components, thereby realizing the real-time monitoring of the magnetic field interference generated by the server components. In order to adaptively and real-time dynamically adjust the operating parameters of the server components according to the real-time monitored magnetic field intensity signal, and improve the stability and reliability of the server.

[0010] According to the embodiment of the present application, after the magnetic field intensity signal is real-time monitored by the electromagnetic interference detection module, the magnetic field intensity signal is transmitted to the monitoring module. At the same time, the monitoring module real-time obtains the current operating parameters of the server components, and generates an interference fuzzy inference rule according to the historical operating parameters of the server components. Then, it judges the magnitude of the transmitted magnetic field intensity signal. When the magnetic field intensity signal is greater than or equal to the preset value, it is defaulted that the electromagnetic interference generated by the server components at this time exceeds the safe range. Based on the generated interference fuzzy inference rule, the magnetic field intensity signal and the operating parameters of the server components are processed to obtain the optimized operating parameters of the server components, realizing the judgment of the magnetic field intensity signal of the server components first. When the magnetic field intensity signal is determined to be abnormal, based on the continuously updated interference fuzzy inference rule generated by the continuously updated historical operating parameters, the abnormal magnetic field intensity signal and the current operating parameters are processed, so that the optimized operating parameters of the server components that are continuously optimized and refined can be obtained, improving the accuracy and reliability of the generated optimized operating parameters. In order to adjust the operating parameters of the server components according to the optimized operating parameters, effectively reduce the electromagnetic interference generated by the server components, and in different operating environments and operating conditions, the optimized operating parameters can also be adaptively generated according to the continuously updated historical operating parameters, improving the operating efficiency of the server.

[0011] According to an embodiment of the present application, the reuse control module generates an optimization signal according to the optimized operating parameters, and uses the optimization signal to adjust the operating parameters of the server components, thereby reducing the electromagnetic interference generated by the server components, reducing the maintenance cost of the server, improving the operating efficiency and operating safety of each component in the server, and improving the electromagnetic compatibility, stability and reliability of the server. Description of the Drawings

[0012] Through the following description of the embodiments of the present application with reference to the drawings, the above content and other objects, features and advantages of the present application will become clearer. In the drawings:

[0013] Figure 1 Schematically shows a schematic diagram of an electromagnetic interference control system according to an embodiment of the present application;

[0014] Figure 2 Schematically shows a schematic diagram of the Hall effect according to an embodiment of the present application;

[0015] Figure 3 Schematically shows a schematic diagram of an electromagnetic interference detection module according to an embodiment of the present application;

[0016] Figure 4 Schematically shows a schematic diagram of the electromagnetic interference control system regulating the fan assembly and the power supply assembly according to an embodiment of the present application;

[0017] Figure 5 Schematically shows a schematic diagram of an electromagnetic interference control system including multiple sub-components according to an embodiment of the present application;

[0018] Figure 6 Schematically shows a flowchart of an electromagnetic interference control method according to an embodiment of the present application;

[0019] Figure 7 Schematically shows a block diagram of an electronic device suitable for implementing the electromagnetic interference control method according to an embodiment of the present application. Detailed Embodiments

[0020] Hereinafter, embodiments of the present application will be described with reference to the drawings. However, it should be understood that these descriptions are exemplary and are not intended to limit the scope of the present application. In the following detailed description, for the sake of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present application. However, obviously, one or more embodiments can also be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present application.

[0021] The terms used herein are only for describing specific embodiments and are not intended to limit the present application. The terms "including", "comprising" and the like used herein indicate the presence of the described features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, steps, operations or components.

[0022] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0023] In the case of using expressions such as "at least one of A, B, and C", generally, it should be interpreted according to the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include, but is not limited to, a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).

[0024] With the rapid development of science and technology, servers are widely used in various intelligent fields. In order to adapt to the current high requirements for server performance, reliability, and power consumption, it is necessary to conduct refined design of server hardware, resulting in a significant increase in hardware complexity. However, with the increase in hardware complexity, electromagnetic interference may be generated during hardware operation, making it difficult for the server to operate stably.

[0025] An embodiment of the present application provides an electromagnetic interference regulation system, including an electromagnetic interference detection module for detecting the magnetic field interference intensity of server components to obtain a magnetic field intensity signal of the server components; a monitoring module electrically connected to the server components and the electromagnetic interference detection module for, when the magnetic field intensity signal is greater than or equal to a preset value, processing the magnetic field intensity signal and the operating parameters of the server components based on interference fuzzy inference rules to obtain optimized operating parameters of the server components, where the interference fuzzy inference rules are generated according to the historical operating parameters of the server components; and a regulation module electrically connected to the monitoring module and the server components for generating an optimization signal according to the optimized operating parameters and using the optimization signal to adjust the operating parameters of the server components so that the magnetic field intensity signal of the server components is less than the preset value.

[0026] According to an embodiment of the present application, the electromagnetic interference regulation system may include an electromagnetic interference detection module, a monitoring module, and a regulation module.

[0027] According to an embodiment of the present application, the electromagnetic interference detection module is used to detect the magnetic field interference intensity of server components to obtain a magnetic field intensity signal of the server components.

[0028] Server components can include various components such as a central processing unit, a memory sub-component, a power supply sub-component, a fan sub-component, etc. in the server. By setting the electromagnetic interference detection module near the server components, and using the magnetic field sensor in the electromagnetic interference detection module, the electromagnetic interference generated by the server components during operation can be detected, thereby obtaining the magnetic field intensity signal of the server components.

[0029] According to an embodiment of the present application, the monitoring module is electrically connected to the server components and the electromagnetic interference detection module, and is configured to, when the magnetic field intensity signal is greater than or equal to a preset value, process the magnetic field intensity signal and the operating parameters of the server components based on the interference fuzzy inference rule to obtain the optimized operating parameters of the server components.

[0030] According to an embodiment of the present application, the interference fuzzy inference rule can be generated based on the historical operating parameters of the server components.

[0031] The magnetic field intensity signal can be characterized as a voltage signal corresponding to the electromagnetic interference generated by the server components, and the preset value can be characterized as a preset magnetic field interference voltage threshold. When the magnetic field intensity signal is greater than the preset value, it can indicate that the electromagnetic interference generated by one or more server components at this time exceeds the safe predetermined threshold, which may affect the operation of the server and the safety of the components.

[0032] After each adjustment of the parameters of the server components, the historical operating parameters are updated, so that the interference fuzzy inference rule generated based on the historical operating parameters can be continuously updated, improving the accuracy of the generated optimized operating parameters.

[0033] According to an embodiment of the present application, the regulation module is electrically connected to the monitoring module and the server components, and is configured to generate an optimization signal according to the optimized operating parameters, and use the optimization signal to adjust the operating parameters of the server components so that the magnetic field intensity signal of the server components is less than the preset value.

[0034] The optimization signal can be characterized as a pulse width modulation signal. By generating pulse width modulation signals with different duty cycles according to different optimized operating parameters, and then applying the pulse width modulation signals to components such as the central processing unit, the memory module, the power supply module, and the fan module, the operating parameters of the components are changed, so that the electromagnetic interference generated by the adjusted server components, that is, the magnetic field intensity signal, is less than the preset value and within the safe threshold of generating electromagnetic interference.

[0035] According to an embodiment of the present application, by arranging an electromagnetic interference detection module near a server component that is prone to generating electromagnetic interference, during the real-time operation of the server component, the electromagnetic interference detection module can be used to synchronously detect the magnetic field interference intensity generated by it in real time, obtain the magnetic field intensity signal of the server component, thereby realizing the real-time monitoring of the magnetic field interference generated by the server component, so as to adaptively and real-time dynamically adjust the operating parameters of the server component according to the real-time monitored magnetic field intensity signal, and improve the stability and reliability of the server.

[0036] According to an embodiment of the present application, after the magnetic field intensity signal is obtained by real-time monitoring using the electromagnetic interference detection module, the magnetic field intensity signal is transmitted to the monitoring module. At the same time, the monitoring module obtains the current operating parameters of the server component in real time and generates interference fuzzy inference rules based on the historical operating parameters of the server component. Then, it judges the magnitude of the transmitted magnetic field intensity signal. When the magnetic field intensity signal is greater than or equal to the preset value, it is considered that the electromagnetic interference generated by the server component at this time exceeds the safe range. Therefore, based on the generated interference fuzzy inference rules, the magnetic field intensity signal and the operating parameters of the server component are processed to obtain the optimized operating parameters of the server component, realizing the determination of the magnetic field intensity signal of the server component first. When the magnetic field intensity signal is determined to be abnormal, based on the continuously updated interference fuzzy inference rules generated from the continuously updated historical operating parameters, the abnormal magnetic field intensity signal and the current operating parameters are processed, so that the optimized operating parameters of the server component that are continuously optimized and refined can be obtained, improving the accuracy and reliability of the generated optimized operating parameters, so as to adjust the operating parameters of the server component according to the optimized operating parameters, effectively reducing the electromagnetic interference generated by the server component. Under different operating environments and conditions, the optimized operating parameters can also be adaptively generated according to the continuously updated historical operating parameters, improving the operating efficiency of the server.

[0037] According to an embodiment of the present application, the regulation module then generates an optimization signal according to the optimized operating parameters and uses the optimization signal to adjust the operating parameters of the server component, thereby realizing the reduction of the electromagnetic interference generated by the server component, reducing the maintenance cost of the server, improving the operating efficiency and operating safety of each component in the server, and improving the electromagnetic compatibility, stability and reliability of the server.

[0038] Figure 1 The schematic diagram of the electromagnetic interference regulation system according to an embodiment of the present application is schematically shown.

[0039] As Figure 1As shown, the electromagnetic interference regulation system may include a server component 101, an electromagnetic interference detection module 102, a monitoring module 103, and a regulation module 104. The electromagnetic interference detection module 102 detects the server component 101 to obtain a magnetic field intensity signal. The monitoring module 103 processes the magnetic field intensity signal and the operating parameters of the server component 101 to obtain optimized operating parameters of the server component 101. The regulation module 104 adjusts the operating parameters of the server component 101 according to the optimized operating parameters of the server component 101.

[0040] According to an embodiment of the present application, the electromagnetic interference detection module includes an electromagnetic detection sub-module, a signal processing sub-module, and an analog-to-digital converter.

[0041] According to an embodiment of the present application, the electromagnetic detection sub-module is used to detect the magnetic field interference intensity of the server component to obtain a Hall signal of the server component.

[0042] According to an embodiment of the present application, the electromagnetic detection sub-module includes a low-frequency detection sensor and a high-frequency detection sensor.

[0043] According to an embodiment of the present application, the low-frequency detection sensor is used to detect the intensity of the low-frequency band interference magnetic field generated by the server component.

[0044] The low-frequency detection sensor may be a Hall sensor. Both the fan sub-component and the power supply sub-component can generate electromagnetic interference in the low-frequency band. Thus, the low-frequency detection sensor can be arranged in the relevant areas of the fan sub-component and the power supply sub-component to detect the Hall signal in the low-frequency band, that is, the Hall voltage. Among them, the low-frequency band is usually from 1 Hz to 1 MHz.

[0045] The Hall effect of the Hall sensor can be characterized as follows: when a current passes through a conductor or semiconductor material, a magnetic field is applied perpendicular to the current direction, and the charge carriers (electrons or holes) will be deflected by the Lorentz force. The deflection of the charge carriers will cause a potential difference on both sides of the conductor or semiconductor material, and this phenomenon is called the Hall voltage. The magnitude of the Hall voltage is proportional to the magnetic field intensity, the current intensity, and the Hall coefficient of the material, and its formula can be as shown in formula (1).

[0046] (1);

[0047] Among them, V H can be characterized as the Hall voltage, I can be characterized as the current passing through the material, B can be characterized as the magnetic field intensity, R H can be characterized as the Hall coefficient of the material, and d can be characterized as the thickness of the material.

[0048] Figure 2 Schematically shows a schematic diagram of the Hall effect according to an embodiment of the present application.

[0049] As Figure 2 shown, the figure depicts the deflection of charge carriers under the action of the Lorentz force of a magnetic field. t can represent the thickness of the material, w can represent the width of the material, L can represent the length of the material, and E y can represent the electric field strength, e can represent the charge carriers, and V x can represent the voltage across the material, and I x can represent the current through the material, and B z can represent the magnetic field strength.

[0050] According to an embodiment of the present application, the high-frequency detection sensor is used to detect the intensity of the high-frequency interference magnetic field generated by the server components.

[0051] The high-frequency detection sensor can be a radio frequency sensor. The processor, memory sub-component, and power supply sub-component can all generate electromagnetic interference in the high-frequency band. Thus, the high-frequency detection sensor can be arranged in the relevant areas of the processor, memory sub-component, and power supply sub-component to detect the Hall signal in the high-frequency band, that is, the Hall voltage. Among them, the high-frequency band is usually from 1 MHz to 10 GHz.

[0052] In the relevant area of the power supply sub-component, a low-frequency detection sensor and a high-frequency detection sensor can be arranged simultaneously to detect the low-frequency Hall signal and the high-frequency Hall signal generated by the power supply sub-component by using the low-frequency detection sensor and the high-frequency detection sensor. It is also possible to arrange only the low-frequency detection sensor or the high-frequency detection sensor to detect the low-frequency Hall signal or the high-frequency Hall signal generated by the power supply sub-component by using the low-frequency detection sensor or the high-frequency detection sensor.

[0053] According to an embodiment of the present application, the signal processing sub-module is electrically connected to the electromagnetic detection sub-module and is used to amplify and filter the Hall signal to obtain an amplified electrical signal.

[0054] The Hall signal can be amplified first to obtain an amplified electrical signal, and then the amplified electrical signal can be filtered. Among them, when the Hall signal is a signal in the high-frequency band, the amplified electrical signal is subjected to low-pass filtering to obtain a filtered amplified electrical signal. When the Hall signal is a signal in the low-frequency band, the amplified electrical signal is subjected to high-pass filtering to obtain a filtered amplified electrical signal. The amplified electrical signal is an analog voltage signal.

[0055] According to an embodiment of the present application, the analog-to-digital converter is electrically connected to the signal processing sub-module and is used to perform analog-to-digital conversion on the amplified electrical signal to obtain a magnetic field strength signal.

[0056] The magnetic field strength signal can be a digital voltage signal.

[0057] According to an embodiment of the present application, the electromagnetic interference detection module may include an electromagnetic detection sub-module, a signal processing sub-module, and an analog-to-digital amplifier. The electromagnetic detection sub-module further includes a low-frequency detection sensor and a high-frequency detection sensor. The low-frequency detection sensor and the high-frequency detection sensor are respectively arranged in relevant areas of the server component, so that the low-frequency detection sensor and the high-frequency detection sensor can accurately detect the sub-components that generate low-frequency interference magnetic fields or high-frequency interference magnetic fields, obtain corresponding Hall signals, and improve the recognition of electromagnetic interference. Then, according to signals of different frequency bands, the Hall signals are amplified, high-pass filtered or low-pass filtered to obtain a filtered analog amplified electrical signal, and then the analog-to-digital converter is used to perform analog-to-digital conversion on the amplified electrical signal to obtain a digital magnetic field intensity signal, thereby realizing the processing of the magnetic field interference intensity generated by the detected server component. According to the characteristics of electromagnetic interference of different frequency bands generated by different sub-components, accurate magnetic field intensity signals in different frequency bands are obtained, so as to adaptively generate optimized operating parameters according to the magnetic field intensity signals, reduce the electromagnetic interference generated during the operation of the server component, and improve the electromagnetic compatibility and reliability of the server.

[0058] Figure 3 A schematic diagram of an electromagnetic interference detection module according to an embodiment of the present application is schematically shown.

[0059] As Figure 3 shown, the electromagnetic interference detection module includes a low-frequency detection sensor 301, a high-frequency detection sensor 302, a signal processing sub-module 303, and an analog-to-digital converter 304. The low-frequency detection sensor 301 and the high-frequency detection sensor 302 detect the magnetic field intensity generated by the server component 101 to obtain Hall signals, and then transmit the Hall signals to the signal processing sub-module 303. The signal processing sub-module 303 processes the Hall signals to obtain an amplified electrical signal, and then the analog-to-digital converter 304 performs analog-to-digital conversion on the amplified electrical signal to obtain a digital magnetic field intensity signal. The magnetic field intensity signal is output to the monitoring module 103, and the monitoring module 103 processes the magnetic field intensity signal to obtain optimized parameters. The regulation module 104 generates an optimized signal according to the optimized parameters and applies it to the server component 101 to adjust the operating parameters of the server component 101.

[0060] According to an embodiment of the present application, the monitoring module is further configured to: in the case where the magnetic field intensity signal is greater than or equal to a preset value, perform marking processing on the magnetic field intensity signal to obtain a calibrated magnetic field intensity signal.

[0061] The preset values may include a low-frequency interference preset value and a high-frequency interference preset value for the low-frequency band. When the magnetic field intensity signal in the low-frequency band is greater than or equal to the low-frequency interference preset value or the magnetic field intensity signal in the high-frequency band is greater than or equal to the high-frequency interference preset value, the magnetic field intensity signal is marked for processing, so as to determine the abnormal calibrated magnetic field intensity signal in the case of multiple magnetic field intensity signals, and to generate optimized parameters according to the calibrated magnetic field intensity signal.

[0062] For example, the magnetic fields generated by the processor, memory sub-component, power supply sub-component, and fan sub-component are detected simultaneously to obtain multiple magnetic field intensity signals. According to the frequency band corresponding to each sub-component, it is determined whether the magnetic field intensity signal is greater than or equal to the low-frequency interference preset value or the high-frequency interference preset value. It is determined that the magnetic field intensity signal in the high-frequency band of the power supply sub-component is greater than the high-frequency interference preset value, and the magnetic field intensity signal in the low-frequency band of the fan sub-component is equal to the low-frequency interference preset value. Therefore, the magnetic field intensity signals in the high-frequency band of the power supply sub-component and the low-frequency band of the fan sub-component are marked for processing, and the magnetic field intensity signal is marked as an abnormal calibrated magnetic field intensity signal.

[0063] According to an embodiment of the present application, based on the fuzzy control algorithm and the machine learning algorithm, optimized operating parameters are generated according to the calibrated magnetic field intensity signal and the operating parameters.

[0064] According to an embodiment of the present application, the server component may include multiple server sub-components.

[0065] The server sub-components can be sub-components such as processors, memory sub-components, power supply sub-components, and fan sub-components.

[0066] According to an embodiment of the present application, the monitoring module is further configured to: use the machine learning algorithm to learn the historical operating parameters and historical optimization solutions of multiple server sub-components to obtain interference fuzzy inference rules.

[0067] According to an embodiment of the present application, the historical optimization solution includes historical optimized operating parameters and historical magnetic field intensity signals corresponding to the historical optimized operating parameters.

[0068] After each adjustment of the operating parameters, the historical operating parameters and historical optimization solutions of multiple server sub-components can be automatically updated, so as to adaptively generate the current optimal interference fuzzy inference rules before generating optimized parameters each time according to the continuously updated historical parameters of multiple server sub-components. Furthermore, when using the fuzzy control algorithm for processing, the current optimal optimized parameters can be generated.

[0069] According to an embodiment of the present application, the calibrated magnetic field intensity signal is fuzzified to obtain a fuzzy calibrated signal.

[0070] Based on the fuzzy control algorithm, when there is only one calibrated magnetic field intensity signal, only the calibrated magnetic field intensity signal can be fuzzily processed to obtain a fuzzy calibration signal. When there are multiple calibrated magnetic field intensity signals, multiple calibrated magnetic field intensity signals can be fuzzily processed respectively, so that multiple fuzzy calibration signals can be obtained.

[0071] According to the embodiments of the present application, based on the interference fuzzy inference rule, fuzzy inference is performed on the fuzzy calibration signal and multiple operating parameters of multiple server sub-components to obtain a fuzzy optimized operation plan.

[0072] The interference fuzzy inference rule may include multiple interference fuzzy inference sub-rules. In the process of performing fuzzy inference on the fuzzy calibration signal and multiple operating parameters, rule weights can be introduced for multiple interference fuzzy inference sub-rules and priority weights can be introduced for server sub-components. Further, according to the importance of component operation during server operation, different sizes of rule weights and priority weights of multiple interference fuzzy inference sub-rules generated by machine learning algorithms can be preset. Also, during the process of generating optimized parameters, the rule weights and priority weights can be updated according to the degree of electromagnetic interference generated by each sub-component and the degree of harm to server operation. Additionally, according to the magnitude of the current magnetic field intensity signal of each sub-component exceeding the preset value, a variable weight can be assigned to each sub-component. Thus, the processing process of fuzzy inference can be adaptively optimized to obtain a fuzzy optimized operation plan, so as to facilitate the generation of accurate optimized parameters, and then the operating parameters of server components can be finely and accurately adjusted to improve the electromagnetic compatibility of the server.

[0073] For example, priority weights can be set for the fan sub-component, power supply sub-component, processor, and memory sub-component. The priority weight of the power supply sub-component is set to 0.7, the priority weight of the processor is set to 0.8, the priority weight of the memory sub-component is set to 0.6, and the priority weight of the fan sub-component is set to 0.48. The rule weight of the sub-rule for adjusting the power supply sub-component is set to 0.7, the rule weight of the sub-rule for adjusting the processor is set to 0.58, the rule weight of the sub-rule for adjusting the fan sub-component is set to 0.62, and the rule weight of the sub-rule for adjusting the memory sub-component is set to 0.3. Thus, during the fuzzy inference process, according to the magnitude of the current magnetic field intensity signal of each sub-component exceeding the preset value, a variable weight is assigned to it. According to the product value of the variable weight, rule weight, and priority weight, first determine the best fuzzy optimized operation plan for the sub-component corresponding to the maximum value, and then sequentially determine the best fuzzy optimized operation plans for other sub-components.

[0074] The fuzzy optimized operation plan may include parameter adjustment plans for multiple server sub-components. For example, reducing the power frequency of the power supply sub-component and increasing the fan speed of the fan sub-component.

[0075] According to an embodiment of the present application, the fuzzy optimization operation scheme is defuzzified to obtain optimized operation parameters.

[0076] According to an embodiment of the present application, when the magnetic field intensity signals in different frequency bands are greater than or equal to the low-frequency interference preset value or the high-frequency interference preset value, the abnormal magnetic field intensity signals are marked to obtain calibrated magnetic field intensity signals. Then, a machine learning algorithm is used to learn the continuously updated historical operation parameters and historical optimization schemes of multiple server sub-components to generate interference fuzzy inference rules. Then, the calibrated magnetic field intensity signals are fuzzified to obtain fuzzy calibration signals. Based on the generated interference fuzzy inference rules, fuzzy inference is performed on the fuzzy calibration signals and the multiple operation parameters of multiple server sub-components to obtain a fuzzy optimization operation scheme. Then, the fuzzy optimization operation scheme is defuzzified to obtain optimized operation parameters, realizing the adaptive generation of continuously updated and accurate interference fuzzy inference rules based on the continuously updated historical parameters, so as to generate accurate optimized operation parameters according to the magnetic field intensity signals, improve the accuracy and reliability of the generated optimized operation parameters, and thus adjust the operation parameters of the server components according to the optimized operation parameters, effectively reducing the electromagnetic interference generated by the server components. In different operating environments and operating conditions, optimized operation parameters can also be adaptively generated according to the continuously updated historical operation parameters, improving the operating efficiency of the server.

[0077] It is also possible to only use a fuzzy control algorithm or a machine learning algorithm to analyze and process the magnetic field intensity signals to generate optimized operation parameters.

[0078] According to an embodiment of the present application, the monitoring module is further configured to determine that the server component has completed adjustment when the received adjusted magnetic field intensity signal from the electromagnetic interference detection module is less than the preset value.

[0079] After adjusting the operation parameters of the server component using the optimization signal, the magnetic field intensity of the adjusted server component can be detected. When the adjusted magnetic field intensity signal is less than the preset value, it is determined that the server component has completed adjustment. If the adjusted magnetic field intensity signal is greater than or equal to the preset value, the server component can be continuously adjusted according to the preset number of adjustment rounds. If the adjusted magnetic field intensity signal is still greater than or equal to the preset value after exceeding the number of adjustment rounds, a warning message can be sent out through the display device to wait for relevant operation control instructions.

[0080] According to an embodiment of the present application, by setting a cyclic detection of the magnetic field intensity of the adjusted server component, it can be verified whether the magnetic field intensity adjusted according to the optimized operating parameters reaches within the range of a safe preset value. In the case where the safe preset value is still not reached, within a predetermined number of adjustment rounds, the original optimized operating parameters can be continued to be used or the optimized operating parameters can be regenerated to adjust the operating parameters of the server component, so as to assist in timely understanding the electromagnetic interference situation of multiple sub-components in the current server, facilitating timely adjustment, reducing the probability of damage to the server component and the server, and improving the reliability and stability of the server.

[0081] According to an embodiment of the present application, the server component may include a power supply sub-component and a heat dissipation sub-component.

[0082] According to an embodiment of the present application, the regulation module is further configured to: generate an optimization signal according to the optimized operating parameters.

[0083] According to an embodiment of the present application, at least one of the frequency parameter of the power supply sub-component and the rotation speed parameter of the heat dissipation sub-component is adjusted according to the optimization signal.

[0084] The heat dissipation sub-component may include a fan sub-component and other component devices for heat dissipation.

[0085] It is also possible to adjust the main frequency parameter and voltage parameter of the processor, as well as the frequency parameter, timing parameter, voltage parameter, etc. of the memory sub-component according to the optimization signal, so that the magnetic field intensities of multiple sub-components such as the power supply sub-component, fan sub-component, processor, and memory sub-component are all less than the preset value, so that the server is in a stable and safe operating state.

[0086] Figure 4 Schematically shows a schematic diagram of the electromagnetic interference regulation system regulating the fan component and the power supply component according to an embodiment of the present application.

[0087] As Figure 4 shown, the electromagnetic interference regulation system includes an electromagnetic interference detection module 102, a monitoring module 103, a regulation module 104, a fan sub-component 401, and a power supply sub-component 402. The magnetic field intensity signal is detected by the electromagnetic interference detection module, and the monitoring module 103 generates optimized operating parameters according to the operating parameters of the server component and the magnetic field intensity signal and transmits them to the regulation module 104. The regulation module 104 adjusts the frequency parameter of the power supply sub-component 402 and the rotation speed parameter of the fan sub-component 401 according to the optimization signal.

[0088] According to an embodiment of the present application, the system further includes a display module.

[0089] According to an embodiment of the present application, the display module is electrically connected to the monitoring module and is used to display the magnetic field intensity signal and adjustment information of the server component.

[0090] According to an embodiment of the present application, the adjustment information includes the parameter adjustment progress and parameter adjustment results of server components.

[0091] The display module can display the magnetic field intensity signals and adjustment information of the components in the current server in real time, and thus can support manual or automatic adjustment by configuring on the display module.

[0092] According to an embodiment of the present application, through a peripherally interactive display module, the operating states of each component in the server and the current electromagnetic interference situation can be monitored in a timely manner, thereby supporting manual adjustment and further improving the electromagnetic compatibility, reliability and stability of the server.

[0093] Figure 5 Schematically shows a schematic diagram of an electromagnetic interference regulation system including multiple sub-components according to an embodiment of the present application.

[0094] As Figure 5 shown, the server components include a fan sub-component, a power supply sub-component, a processor and a memory sub-component. The fan sub-component is detected by a low-frequency detection sensor, the memory sub-component and the processor are detected by a high-frequency detection sensor, and the power supply sub-component is detected by the low-frequency detection sensor and the high-frequency detection sensor together. Each low-frequency detection sensor and each high-frequency detection sensor transmit the multiple Hall signals they detect to the signal processing sub-module. The signal processing sub-module amplifies and performs corresponding low-pass or high-pass filtering processing on the multiple Hall signals respectively to obtain multiple amplified electrical signals, and then uses an analog-to-digital converter to perform analog-to-digital conversion on the multiple amplified electrical signals to obtain multiple magnetic field intensity signals.

[0095] The multiple magnetic field intensity signals are transmitted to the monitoring module. The monitoring module respectively determines whether the multiple magnetic field intensity signals are greater than or equal to a low-frequency interference preset value or a high-frequency interference preset value according to the low-frequency band and the high-frequency band, and then performs compliance processing on the magnetic field intensity signals greater than or equal to the low-frequency interference preset value or the high-frequency interference preset value to obtain multiple calibrated magnetic field intensity signals. Using a machine learning algorithm, learn the current updated historical operating parameters and historical optimization schemes of multiple server sub-components to generate interference fuzzy inference rules, and then perform fuzzy processing on the multiple calibrated magnetic field intensity signals to obtain multiple fuzzy calibrated signals. Based on the generated interference fuzzy inference rules, perform fuzzy inference on the multiple fuzzy calibrated signals, the operating parameters of the fan sub-component, the operating parameters of the power supply sub-component, the operating parameters of the processor, and the operating parameters of the memory sub-component to obtain the current fuzzy optimized operating schemes for the fan sub-component, the power supply sub-component, the processor, and the memory sub-component, and perform defuzzification processing on the fuzzy optimized operating schemes to obtain multiple optimized operating parameters.

[0096] Transmit multiple optimized operating parameters to the regulation module. The regulation module generates pulse width modulation signals corresponding to each sub-component according to the multiple optimized operating parameters, and adjusts the current operating parameters of the fan sub-component, power supply sub-component, processor, and memory sub-component respectively according to the multiple pulse width modulation signals. Then, each low-frequency detection sensor and each high-frequency detection sensor are called again to detect the preliminarily adjusted magnetic field intensity, obtaining multiple adjusted Hall signals. Then, through the processing of the signal processing sub-module and the analog-to-digital converter, multiple adjusted magnetic field intensity signals are obtained. Furthermore, the monitoring module is used to verify them again with the low-frequency interference preset value or high-frequency interference preset value. When the multiple adjusted magnetic field intensity signals are all less than the low-frequency interference preset value or high-frequency interference preset value, it is confirmed that the adjustment is completed, and the entire adjustment process, magnetic field intensity signals, and adjustment information of the fan sub-component, power supply sub-component, processor, and memory sub-component can be displayed in real time on the display module.

[0097] Figure 6 Schematically shows a flowchart of an electromagnetic interference regulation method according to an embodiment of the present application.

[0098] As Figure 6 shown, the electromagnetic interference regulation method of this embodiment includes operation S610 to operation S630.

[0099] In operation S610, when the magnetic field intensity signal of the server component is greater than or equal to the preset value, based on the interference fuzzy inference rule, fuzzy control processing is performed on the magnetic field intensity signal and the operating parameters to obtain the optimized operating parameters of the server component.

[0100] According to an embodiment of the present application, the interference fuzzy inference rule is generated according to the historical operating parameters of the server component.

[0101] In operation S620, an optimized signal is generated according to the optimized operating parameters.

[0102] In operation S630, the operating parameters are adjusted using the optimized signal to make the magnetic field intensity signal of the server component less than the preset value.

[0103] According to an embodiment of the present application, by detecting the magnetic field interference intensity of a server component, a magnetic field intensity signal is obtained, and then a judgment is made between the magnetic field intensity signal and a preset value. When the magnetic field intensity signal of the server component is greater than or equal to the preset value, based on the interference fuzzy inference rules generated according to historical operation parameters, fuzzy control processing is performed on the magnetic field intensity signal and the operation parameters to obtain optimized operation parameters of the server component. Then, an optimization signal is generated according to the optimized operation parameters, and the current operation parameters of the server component are adjusted by using the optimization signal, so that the magnetic field intensity signal of the server component is less than the preset value, realizing the adaptive adjustment of the electromagnetic interference of the server component. Based on the continuously updated interference fuzzy inference rules generated from the continuously updated historical operation parameters, continuously optimized and refined optimized operation parameters of the server component can be obtained, improving the accuracy and reliability of the generated optimized operation parameters, reducing the maintenance cost of the server, improving the operation efficiency and operation safety of each component in the server, and improving the electromagnetic compatibility, stability and reliability of the server.

[0104] Figure 7 Schematically shows a block diagram of an electronic device suitable for implementing an electromagnetic interference regulation method according to an embodiment of the present application.

[0105] As Figure 7 shown, the electronic device according to an embodiment of the present application includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage section 708 into a random access memory (RAM) 703. The processor 701 can include, for example, a general microprocessor (such as a CPU), an instruction set processor, and / or a related chipset, and / or a dedicated microprocessor (such as an application specific integrated circuit (ASIC)), etc. The processor 701 can also include on-board memory for caching purposes. The processor 701 can include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present application.

[0106] In the RAM 703, various programs and data required for the operation of the electronic device are stored. The processor 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. The processor 701 performs various operations of the method flow according to an embodiment of the present application by executing the programs in the ROM 702 and / or the RAM 703. It should be noted that the program can also be stored in one or more memories other than the ROM 702 and the RAM 703. The processor 701 can also perform various operations of the method flow according to an embodiment of the present application by executing the programs stored in the one or more memories.

[0107] According to an embodiment of the present application, the electronic device may further include an input / output (I / O) interface 705, and the input / output (I / O) interface 705 is also connected to the bus 704. The electronic device may further include one or more of the following components connected to the input / output (I / O) interface 705: an input portion 706 including a keyboard, a mouse, etc.; an output portion 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and a speaker, etc.; a storage portion 708 including a hard disk, etc.; and a communication portion 709 including a network interface card such as a LAN card, a modem, etc. The communication portion 709 performs communication processing via a network such as the Internet. The drive 710 is also connected to the input / output (I / O) interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed, so that a computer program read from it can be installed into the storage portion 708 as needed.

[0108] The present application also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist separately without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiments of the present application is implemented.

[0109] According to an embodiment of the present application, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer-readable storage medium may be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, device, or device. For example, according to an embodiment of the present application, the computer-readable storage medium may include the above-described ROM 702 and / or RAM 703 and / or one or more memories other than ROM 702 and RAM 703.

[0110] An embodiment of the present application also includes a computer program product, which includes a computer program, and the computer program includes program codes for executing the method shown in the flowchart. When the computer program product runs in a computer system, the program codes are used to cause the computer system to implement the electromagnetic interference regulation method provided by the embodiments of the present application.

[0111] When the computer program is executed by the processor 701, the above functions defined in the system / apparatus of the embodiments of the present application are executed. According to an embodiment of the present application, the above-described systems, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0112] In one embodiment, the computer program can rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program can also be transmitted and distributed in the form of signals on a network medium, and be downloaded and installed through the communication part 709, and / or be installed from the removable medium 711. The program code included in the computer program can be transmitted by any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0113] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 709, and / or be installed from the removable medium 711. When the computer program is executed by the processor 701, the above functions defined in the system of the embodiments of the present application are executed. According to an embodiment of the present application, the above-described systems, devices, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0114] According to an embodiment of the present application, the program code for executing the computer program provided by the embodiments of the present application can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level procedures and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include but are not limited to, such as Java, C++, python, the "C" language, or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, by using an Internet service provider to connect through the Internet).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and combinations of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0116] Those skilled in the art will appreciate that the features described in the various embodiments of the present application can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present application. In particular, without departing from the spirit and teachings of the present application, the features described in the various embodiments of the present application can be combined and / or combined in various ways. All such combinations and / or combinations fall within the scope of the present application.

[0117] The embodiments of the present application have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present application. Although the embodiments have been described separately above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Without departing from the scope of the present application, those skilled in the art can make various substitutions and modifications, and all such substitutions and modifications should fall within the scope of the present application.

Claims

1. An electromagnetic interference regulation system, characterized in that, The system includes: An electromagnetic interference detection module, configured to detect the magnetic field interference intensity of the server component and obtain the magnetic field intensity signal of the server component; A monitoring module, electrically connected to the server component and the electromagnetic interference detection module, configured to, when the magnetic field intensity signal is greater than or equal to a preset value, process the magnetic field intensity signal and the operating parameters of the server component based on the interference fuzzy inference rule to obtain the optimized operating parameters of the server component, wherein the interference fuzzy inference rule is generated according to the historical operating parameters of the server component; A regulation module, electrically connected to the monitoring module and the server component, configured to generate an optimization signal according to the optimized operating parameters and use the optimization signal to adjust the operating parameters of the server component so that the magnetic field intensity signal of the server component is less than the preset value.

2. The system according to claim 1, wherein The monitoring module is further configured to: When the magnetic field intensity signal is greater than or equal to the preset value, perform marking processing on the magnetic field intensity signal to obtain a calibrated magnetic field intensity signal; Based on the fuzzy control algorithm and the machine learning algorithm, generate the optimized operating parameters according to the calibrated magnetic field intensity signal and the operating parameters.

3. The system according to claim 2, wherein The server component includes a plurality of server sub-components, and the monitoring module is further configured to: Use the machine learning algorithm to learn the historical operating parameters and historical optimization schemes of the plurality of server sub-components to obtain the interference fuzzy inference rule, wherein the historical optimization scheme includes historical optimized operating parameters and the corresponding historical magnetic field intensity signals; Perform fuzzy processing on the calibrated magnetic field intensity signal to obtain a fuzzy calibration signal; Based on the interference fuzzy inference rule, perform fuzzy inference on the fuzzy calibration signal and the plurality of operating parameters of the plurality of server sub-components to obtain a fuzzy optimized operating scheme; Perform defuzzification processing on the fuzzy optimized operating scheme to obtain the optimized operating parameters.

4. The system according to claim 2, wherein The monitoring module is further configured to: In response to receiving an adjusted magnetic field intensity signal from the electromagnetic interference detection module, when the adjusted magnetic field intensity signal is less than the preset value, determine that the adjustment of the server component is completed.

5. The system according to claim 1, characterized in that, The electromagnetic interference detection module includes: An electromagnetic detection sub-module, configured to detect the magnetic field interference intensity of the server component and obtain the Hall signal of the server component; A signal processing sub-module, electrically connected to the electromagnetic detection sub-module, configured to amplify and filter the Hall signal to obtain an amplified electrical signal; An analog-to-digital converter, electrically connected to the signal processing sub-module, configured to perform analog-to-digital conversion processing on the amplified electrical signal to obtain the magnetic field intensity signal.

6. The system according to claim 5, characterized in that, The electromagnetic detection sub-module includes: A low-frequency detection sensor, configured to detect the intensity of the low-frequency interference magnetic field generated by the server component; A high-frequency detection sensor, configured to detect the intensity of the high-frequency interference magnetic field generated by the server component.

7. The system according to claim 1, wherein The server component includes a power supply sub-component and a heat dissipation sub-component, and the regulation module is further configured to: Generate the optimization signal according to the optimized operating parameters; Adjust at least one of the frequency parameter of the power supply sub-component and the rotation speed parameter of the heat dissipation sub-component according to the optimization signal.

8. The system according to claim 1, characterized in that, The system further includes: A display module, electrically connected to the monitoring module, for displaying the magnetic field intensity signal and adjustment information of the server component, where the adjustment information includes the parameter adjustment progress and parameter adjustment result of the server component.

9. An electromagnetic interference regulation method, characterized in that, The method includes: When the magnetic field intensity signal of the server component is greater than or equal to a preset value, process the magnetic field intensity signal and operating parameters based on the interference fuzzy inference rule to obtain the optimized operating parameters of the server component, where the interference fuzzy inference rule is generated according to the historical operating parameters of the server component; Generate an optimization signal according to the optimized operating parameters; Use the optimization signal to adjust the operating parameters so that the magnetic field intensity signal of the server component is less than the preset value.

10. An electronic device, comprising: One or more processors; A memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the method according to claim 9.

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