Anti-surge circuit applied to industrial computer network port and monitoring method thereof

Abstract

The invention relates to an anti-surge circuit applied to an industrial computer network port and a monitoring method of the anti-surge circuit, and the anti-surge circuit comprises a transformer module for receiving an external signal, a differential mode protection module, a common mode protection module and a signal processing module. A network data output port of the signal processing module is connected with a communication interface of the system mainboard to achieve data transmission and network communication, and a differential signal output port of the transformer module is connected with a differential signal input port of the differential mode protection module to prevent differential mode surge from damaging the signal processing module. A center tap port of the transformer module is connected with a surge input port of the common mode protection module to discharge surge, and the line width of a wire between the center tap port of the transformer module and a differential signal output port of the network interface module is larger than 4 mil. Through the combined action of the measures, the protection capability of the network equipment in high-energy surge events is remarkably improved, and the stability of data transmission and the reliability of network communication are enhanced.

Description

Technical Field

[0001] The present application relates to the field of surge protection applied to industrial computer network ports, and in particular to a surge protection circuit applied to industrial computer network ports and a monitoring method thereof. Background Art

[0002] In modern computer systems, the stability of network interfaces is critical for the continuous transmission of data. However, traditional network port surge protection circuits often show their limitations when facing extreme power events such as lightning strikes and power grid failures. These circuits usually rely on simple protection components such as gas discharge tubes or transient voltage suppression diodes. Although they can provide a certain degree of protection, they may not be able to effectively cope with high-energy surge events, making network equipment vulnerable to damage and affecting the stability and reliability of data transmission.

[0003] Application Contents In order to solve the problem that traditional surge protection circuits cannot effectively cope with high-energy surge events, causing network equipment to be easily damaged and affecting the stability and reliability of data transmission, the present application provides a surge protection circuit for industrial computer network ports and a monitoring method thereof.

[0004] The present application provides a surge protection circuit for industrial computer network ports, which adopts the following technical solution: a surge protection circuit for industrial computer network ports, comprising a network interface module for receiving external signals, a transformer module, a differential mode protection module, a common mode protection module and a signal processing module, wherein the differential signal output port of the network interface module is connected to the differential signal input port of the transformer module, the differential signal output port of the transformer module is connected to the differential signal input port of the signal processing module, the network data output port of the signal processing module is connected to the communication interface of the system motherboard for realizing the functions of data transmission and network communication, the differential signal output port of the transformer module is connected to the differential signal input port of the differential mode protection module for preventing differential mode surges from damaging the signal processing module, the center tap port of the transformer module is connected to the surge input port of the common mode protection module for discharging surges, and the line width of the line between the center tap port of the transformer module and the differential signal output port of the network interface module is greater than 4 mils.

[0005] By adopting the above technical solution, after receiving the external signal, the network signal can be effectively processed and protected by using the combination of the network interface module, transformer module, differential mode protection module, common mode protection module and signal processing module. Specifically, the network interface module receives the external signal and transmits it to the signal processing module through the transformer module to realize the data transmission and network communication functions. At the same time, the differential mode protection module and the common mode protection module respectively protect the differential mode surge and common mode surge to prevent the surge from damaging the signal processing module. This combined configuration can greatly improve the circuit's anti-interference ability against surges, thereby improving the stability and reliability of the industrial computer network port.

[0006] Preferably, the common-mode protection module includes a discharge tube D42, a light-emitting diode GT1, a resistor R386 and a capacitor C418, the center tap port of the transformer module is connected to the first end of the resistor R386, the second end of the resistor R386 is connected to the first end of the capacitor C418, the second end of the capacitor C418 is grounded, the center tap port of the transformer module is connected to the first end of the discharge tube D42, the second end of the discharge tube D42 is grounded, the center tap port of the transformer module is connected to the positive end of the light-emitting diode GT1, and the negative end of the light-emitting diode GT1 is grounded.

[0007] By adopting the above technical solution, the configuration can enhance the discharge capacity of surge current by connecting resistors and capacitors in series and utilizing discharge tubes, so that the surge current can be discharged to the ground quickly and effectively, thereby further improving the circuit's surge protection capability and effectively protecting circuit components from surge damage.

[0008] Preferably, the differential mode protection module includes an electrostatic protection element, and the model of the electrostatic protection element is SRV05-4B.

[0009] By adopting the above technical solution, an electrostatic protection element model SRV05-4B is introduced into the differential mode protection module, and an ESD device is connected in series on the differential line. This design can effectively filter out the impact of differential mode surges on the circuit and prevent surge voltage from damaging the circuit. At the same time, the electrostatic protection element can provide additional protection for the circuit, ensuring that the differential mode surge can be effectively suppressed, thereby improving the anti-interference and stability of the circuit.

[0010] Preferably, at least one resistor is connected between the differential signal output port of the transformer module and the differential signal input port of the signal processing module to filter out residual voltage and pulse peaks of surge energy.

[0011] By adopting the above technical solution, the residual voltage and pulse spikes of surge energy are filtered out. This design can effectively deal with the residual voltage or pulse spikes that cannot be completely filtered out by ESD devices, and further prevent the residual surge from causing irreversible damage to important components such as signal processing modules, thereby improving the stability and reliability of the entire protection circuit.

[0012] Preferably, the line width of the line between the center tap port of the transformer module and the differential signal output port of the network interface module is 8 mil-10 mil.

[0013] By adopting the above technical solution, the PCB routing, especially the routing width between the center tap port of the transformer module and the differential signal output port of the network interface module, is adjusted to 8mil-10mil. This adjustment can not only strengthen the protection of the motherboard, but also prevent the thin lines from being burned when the surge intensity is large, thereby effectively preventing PCB damage caused by surges. Although this optimization process increases the routing width, due to the shorter routing segment length, it has little effect on the impedance matching of the signal, thereby improving the overall safety and reliability of the circuit without affecting the circuit function and performance.

[0014] A monitoring method for an industrial computer network port surge protection circuit, using an industrial computer network port surge protection circuit, the monitoring method comprising: Continuously acquiring protection signal change information, wherein the protection signal change information at least includes differential mode signal change information of the differential mode protection module and common mode signal change information of the common mode protection module; Extracting key features according to the protection signal change information, wherein the key features at least include signal amplitude change features, frequency distribution features and time domain features; Substituting the key features into the trained prediction model to generate a corresponding protection device status data set; Determining a surge event according to the protection device status data set; Based on the cloud event library, a matching event of the surge event is determined, and a corresponding monitoring strategy is executed according to the matching event.

[0015] By adopting the above technical solution, it is possible to monitor and predict possible surge events in real time, which can greatly increase the service life of protection components and the system's ability to respond to surge events, thereby significantly improving the reliability and safety of industrial computer systems.

[0016] Preferably, the step of continuously acquiring protection signal change information includes: According to the differential mode protection module, real-time voltage changes of the differential mode signal are obtained, and corresponding differential mode signal change information is generated; According to the common mode protection module, the current change of the common mode signal is obtained, and corresponding common mode signal change information is generated; The differential mode signal change information and the common mode signal change information are integrated and analyzed to generate corresponding protection signal change information.

[0017] By adopting the above technical solution, the working status of the protection circuit can be fully understood to ensure that when a surge occurs, a quick response can be made and corresponding protection measures can be taken, thereby improving the protection effect and operating stability of the entire system.

[0018] Preferably, the step of substituting the key features into the trained prediction model to generate a corresponding protection device status data set includes: Determining the input parameter value in the prediction model according to the signal amplitude variation characteristics; Determining frequency-related parameter values ​​in a prediction model according to the frequency distribution characteristics; Determining the time-related parameter value in the prediction model according to the time domain characteristics; The input parameter values, frequency-related parameter values ​​and time-related parameter values ​​are input into a trained prediction model to generate a protection device status data set.

[0019] By adopting the above technical solution, it is possible to accurately evaluate and predict the status of the protection device based on the amplitude change characteristics, frequency distribution characteristics and time domain characteristics of the signal, and then identify possible surge events in advance, thereby improving the circuit system's protection capability and response efficiency against surge events.

[0020] Preferably, the step of determining a surge event according to the protection device status data set includes: According to the protection device status data set, abnormal data is screened out, wherein each abnormal data represents a value of a different abnormal type of a protection device, When there is one abnormal data, determining a corresponding surge event based on characteristic information of the abnormal data; When there are multiple pieces of abnormal data, the corresponding surge event is determined according to the distribution characteristics and characteristic information of the protection devices corresponding to the multiple pieces of abnormal data.

[0021] By adopting the above technical solution, the abnormal type and distribution characteristics of the protection device can be accurately identified, so as to quickly locate and respond to surge events, reduce the damage to the circuit due to surge, and improve the safety and stability of the entire system.

[0022] Preferably, the step of determining a surge event according to the protection device status data set includes: When there is one abnormal data, determining the abnormal data as the first key abnormal data, and determining a preset slight weight coefficient; When there are multiple abnormal data, filter out the second key abnormal data according to the characteristic information of each abnormal data, and determine a preset severity weight coefficient; Based on the first key abnormality data and a preset minor weight coefficient, or based on the second key abnormality data and the serious weight coefficient, a matching identifier corresponding to the surge event is determined, and the matching identifier is used to match a corresponding matching event.

[0023] By adopting the above technical solution, potential risks can be quickly identified and effective protective measures can be taken before a surge event occurs to avoid equipment damage caused by surges, thereby significantly improving the overall protection capabilities of the system.

[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. The common-mode protection module is connected in series with the center tap of the transformer module to effectively enhance the surge discharge capability. The differential-mode protection module is used to prevent differential-mode surges from damaging the signal processing module by connecting the transformer module. In addition, the adjustment of the PCB is mainly aimed at strengthening the protection of the mainboard. By increasing the trace width between the center tap port of the transformer module and the differential signal output port of the network interface module, the current carrying capacity of the line is improved and the risk of line damage caused by high current is reduced. These measures work together to significantly improve the protection capability of network equipment in the face of high-energy surge events, and enhance the stability of data transmission and the reliability of network communications; 2. Traditional methods often lack intelligent monitoring and adaptive protection mechanisms, making it difficult to respond to complex power environment changes in real time. When a surge event occurs, these circuits may not be able to adjust the protection strategy in time, resulting in delayed or insufficient protection, exposing network equipment to potential damage risks. Worse still, once traditional protection components are damaged by a surge, they may not fail immediately and noticeably, but instead gradually degrade, making it difficult for maintenance personnel to detect and replace them in a timely manner, increasing the potential failure rate of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flowchart of a surge protection circuit applied to an industrial computer network port according to an embodiment of the present application.

[0026] Figure 2 It is a schematic diagram of a partial circuit structure of a network interface module according to an embodiment of the present application.

[0027] Figure 3 It is a schematic diagram of a partial circuit structure of the transformer module and the common-mode protection module of the embodiment of the present application.

[0028] Figure 4 This is a schematic diagram of a partial circuit structure of the differential mode protection module of the embodiment of the present application. Figure 1 .

[0029] Figure 5 This is a schematic diagram of a partial circuit structure of the differential mode protection module of the embodiment of the present application. Figure 2 .

[0030] Figure 6 It is a schematic diagram of a partial circuit structure of a signal processing module in an embodiment of the present application.

[0031] Figure 7 It is a flowchart of a monitoring method for an industrial computer network port surge protection circuit according to an embodiment of the present application.

[0032] Description of reference numerals: 1. Network interface module; 2. Transformer module; 3. Differential mode protection module; 4. Common mode protection module; 5. Signal processing module. DETAILED DESCRIPTION

[0033] The following is combined with Figure 1-7 This application is described in further detail.

[0034] like Figure 1 As shown, a surge protection circuit for an industrial computer network port includes a network interface module 1 for receiving external signals, a transformer module 2, a differential mode protection module 3, a common mode protection module 4 and a signal processing module 5, wherein the differential signal output port of the network interface module 1 is connected to the differential signal input port of the transformer module 2, the differential signal output port of the transformer module 2 is connected to the differential signal input port of the signal processing module 5, the network data output port of the signal processing module 5 is connected to the communication interface of the system motherboard for realizing the functions of data transmission and network communication, the differential signal output port of the transformer module 2 is connected to the differential signal input port of the differential mode protection module 3 to prevent differential mode surges from damaging the signal processing module 5, the center tap port of the transformer module 2 is connected to the surge input port of the common mode protection module 4 for discharging surges, and the line width of the line between the center tap port of the transformer module 2 and the differential signal output port of the network interface module 1 is greater than 4 mil.

[0035] In this embodiment, the differential signal output port of the network interface module 1 is connected to the differential signal input port of the transformer module 2. This connection method ensures that the network signal can be effectively transmitted to the transformer module 2. At the same time, the differential signal output port of the transformer module 2 is further connected to the signal processing module 5 to realize signal transmission and processing. Through this design, the signal processing module 5 can output network data to the communication interface of the system motherboard, ensuring that the industrial computer can smoothly perform data transmission and network communication. In this process, the differential mode protection module 3 is connected to the differential signal output port of the transformer module 2 to protect the signal processing module 5 from the interference of the differential mode surge and ensure the stability of signal transmission. In addition, by connecting the center tap port of the transformer module 2 to the surge input port of the common mode protection module 4, the surge current can be effectively discharged to further protect the system. Finally, the line width of the line between the center tap port of the transformer module 2 and the differential signal output port of the network interface module 1 is designed to be greater than 4mil to ensure the reliability and stability of the line and reduce the line damage caused by surge.

[0036] Preferably, after receiving the external signal, the network interface module 1, the transformer module 2, the differential mode protection module 3, the common mode protection module 4 and the signal processing module 5 can be used to effectively process and protect the network signal. Specifically, the network interface module 1 receives the external signal and transmits it to the signal processing module 5 through the transformer module 2 to realize the data transmission and network communication functions. At the same time, the differential mode protection module 3 and the common mode protection module 4 respectively protect the differential mode surge and the common mode surge to prevent the surge from damaging the signal processing module 5. This combined configuration can greatly improve the circuit's anti-interference ability to surges, thereby improving the stability and reliability of the industrial computer network port.

[0037] Specifically, Figure 3 As shown, the common-mode protection module 4 includes a discharge tube D42, a light-emitting diode GT1, a resistor R386 and a capacitor C418, the center tap port of the transformer module 2 is connected to the first end of the resistor R386, the second end of the resistor R386 is connected to the first end of the capacitor C418, the second end of the capacitor C418 is grounded, the center tap port of the transformer module 2 is connected to the first end of the discharge tube D42, the second end of the discharge tube D42 is grounded, the center tap port of the transformer module 2 is connected to the positive end of the light-emitting diode GT1, and the negative end of the light-emitting diode GT1 is grounded.

[0038] In the present embodiment, the design of the common mode protection module 4 is realized by connecting the center tap port of the transformer module 2 to the first end of the resistor R386, and the second end of the resistor R386 is connected to the first end of the capacitor C418, and the second end of the capacitor C418 is grounded to form an effective filtering loop. One end of the discharge tube D42 is connected to the center tap port of the transformer module 2, and the other end is grounded. Through the action of the discharge tube, the excess surge current is guided to the ground, effectively preventing the impact of the surge on the circuit. At the same time, the positive pole of the light-emitting diode GT1 is connected to the center tap port of the transformer module 2, and the negative pole is grounded. When the surge current appears, the light-emitting diode will send a warning light signal to indicate that there is a surge situation at present. Through the combination of this series of components, the surge protection capability can be effectively enhanced to ensure the safety of the circuit.

[0039] Preferably, the surge discharge capability is enhanced mainly by connecting a resistor and a high-voltage capacitor in series at the center tap of the transformer and adding a discharge tube to the series-connected resistor and capacitor. This configuration can enhance the surge current discharge capability by connecting resistor and capacitor elements in series and utilizing the discharge tube, so that the surge current can be discharged to the ground quickly and effectively, thereby further improving the circuit's surge protection capability and effectively protecting circuit components from surge damage.

[0040] Specifically, Figure 4-5 As shown, the differential mode protection module 3 includes an electrostatic protection element, and the model of the electrostatic protection element is SRV05-4B.

[0041] In this embodiment, the differential mode protection module 3 realizes effective suppression of differential mode surges by connecting an electrostatic protection element (model SRV05-4B) in series on the differential signal line. The electrostatic protection element can quickly respond to differential mode surges, absorb and disperse surge energy, and thus prevent it from damaging subsequent circuits. In addition, the introduction of electrostatic protection elements also improves the circuit's protection against electrostatic discharge (ESD), ensuring that the circuit can remain in normal working condition even in an environment with strong electrostatic interference. This design greatly enhances the protection effect of the differential mode protection module 3 and provides reliable protection for the stable operation of the entire circuit.

[0042] Preferably, the surge at the interface will be coupled to one side of the chip through the transformer, so the back end needs to be protected, and the surge is filtered out by connecting an ESD device in series on the differential line. At the same time, because the ESD device has a response time, an electrostatic protection element of model SRV05-4B is introduced into the differential mode protection module 3, and the ESD device is connected in series on the differential line. This design can effectively filter out the impact of the differential mode surge on the circuit and prevent the surge voltage from damaging the circuit. At the same time, the electrostatic protection element can provide additional protection for the circuit to ensure that the differential mode surge can be effectively suppressed, thereby improving the anti-interference and stability of the circuit.

[0043] Specifically, Figure 6 As shown, at least one resistor is connected between the differential signal output port of the transformer module 2 and the differential signal input port of the signal processing module 5 to filter out the residual voltage and pulse peak of the surge energy.

[0044] In this embodiment, the introduction of the resistor element can effectively absorb and attenuate the residual voltage and spike pulses generated by the surge, preventing these high-energy transient signals from being transmitted to the sensitive signal processing module 5, thereby avoiding irreversible damage to the circuit. By setting an appropriate resistance value (for example, 2.2 ohms), the surge resistance of the entire circuit can be further improved without affecting the signal transmission quality, ensuring the stability and reliability of the circuit.

[0045] Preferably, the ESD device can filter out most of the surge energy, but does not exclude the existence of residual voltage or pulse spikes, so a 2.2ohm resistor is connected in series to the differential signal to prevent irreversible damage to the IC due to residual voltage and pulse spikes. The ESD device is used to filter out the residual voltage and pulse spikes of the surge energy. This design can effectively deal with the residual voltage or pulse spikes that the ESD device cannot completely filter out, and further prevent the residual surge from causing irreversible damage to important components such as the signal processing module 5, thereby improving the stability and reliability of the entire protection circuit.

[0046] Specifically, the line width of the line between the center tap port of the transformer module 2 and the differential signal output port of the network interface module 1 is 8 mil-10 mil.

[0047] In this embodiment, by optimizing the width of this section of the line, especially the short line section from the connector pin to the filter end, the surge current resistance of the line is significantly improved. Considering that the length of this section of the line is short, the increase in width will not significantly affect the impedance matching, so it can effectively prevent the line from burning due to the excessive instantaneous intensity of the surge current. By adjusting the line width to 8mil-10mil, not only the overall durability and anti-interference ability of the circuit are enhanced, but also a more solid guarantee is provided for the long-term reliable operation of the PCB.

[0048] Preferably, the adjustment of the PCB is mainly aimed at strengthening the protection of the motherboard. The main adjustment position is at the front end of the connector, that is, the routing from the connector pin to the filter end. This section of the routing will be very thin due to the consideration of impedance matching, generally about 4 mil. When the surge intensity is very large for a moment, it will cause damage to the line and burn the PCB. In order to solve this hidden danger, we hollow out the GND of this section of the line (hollow out each layer) and increase the original 4 mil routing width to 8 mil or 10 mil; because the length of this section of the line is very short, impedance matching can be ignored, and it will not have a great impact on the function and performance. We have verified that there is no problem after multiple products. At the same time, the copper foil of the center tap part of the filter is optimized and adjusted, because this part is the first level of protection of the entire surge protection line, so in the PCB design, the routing of the center tap should be thick, and it is best to directly lay copper. Adjust the PCB routing, especially the routing width between the center tap port of the transformer module 2 and the differential signal output port of the network interface module 1 to 8 mil-10 mil. This adjustment can not only enhance the protection of the motherboard, but also prevent the thin lines from being burned when the surge intensity is large, thus effectively preventing the PCB damage caused by surge. Although this optimization process increases the trace width, the impedance matching of the signal is less affected due to the shorter trace length, thus improving the overall safety and reliability of the circuit without affecting the circuit function and performance.

[0049] like Figure 7 As shown, a monitoring method for an industrial computer network port surge protection circuit is used, using an industrial computer network port surge protection circuit, the monitoring method includes: S10, continuously acquiring protection signal change information, wherein the protection signal change information at least includes differential mode signal change information of the differential mode protection module 3 and common mode signal change information of the common mode protection module 4; In this embodiment, the purpose of continuously acquiring protection signal change information is to collect and record differential mode signal change information and common mode signal change information in the system by real-time monitoring of the signal changes of the differential mode protection module 3 and the common mode protection module 4. This information is a direct reflection of the network signal protection status and can help identify potential surge risks. For example, fluctuations in differential mode signals may indicate abnormal voltages in the network line, while abnormal changes in common mode signals may indicate large currents or grounding problems. By continuously acquiring this information, the system can perceive early signals of surges at the first time and provide data support for subsequent analysis and protection decisions.

[0050] S20, extracting key features according to the protection signal change information, wherein the key features at least include signal amplitude change features, frequency distribution features, and time domain features; In this embodiment, according to the protection signal change information, the specific method of extracting key features is to extract key information that can reflect signal characteristics from the collected differential mode and common mode signal change information, including signal amplitude change characteristics, frequency distribution characteristics and time domain characteristics. These features can be extracted through mathematical algorithms, such as Fourier transform for extracting frequency distribution features, and time domain features can be represented by the rate of change of the signal at a specific time point. Extracting these key features helps to understand the behavior of the signal more deeply and use it as an important basis for judging surge risks. For example, a sharp fluctuation in signal amplitude may indicate a strong surge, while an abnormality in frequency distribution may indicate an oscillation or harmonic problem in the power supply system.

[0051] S30, substituting the key features into the trained prediction model to generate a corresponding protection device status data set; In this embodiment, by inputting the extracted key features of the signal into a pre-trained machine learning model, the system can automatically generate a data set reflecting the current status of the protection device. These status data can reflect the operating status of the protection device in real time, such as whether the component is close to its protection limit or whether maintenance is required. In this way, the system can identify possible surge risks in advance and respond before the surge actually occurs. For example, when the prediction model detects that the change trend of a key feature indicates that a surge is about to occur, the system can issue an alarm or take preventive measures in time, thereby effectively avoiding equipment damage.

[0052] S40, determining a surge event according to the protection device status data set; In this embodiment, the data in the protection device status data set are analyzed to identify abnormal patterns that may represent surge events. For example, if the status data of a certain protection device shows an abnormal increase in current or voltage, and this abnormality cannot be explained by conventional operations, the system will judge it as a surge event. Through the comprehensive analysis of these status data, the system can accurately locate the time and location of the surge, so as to take corresponding protective measures before the surge event causes actual damage to the system. This method not only improves the detection accuracy of surge events, but also reduces the possibility of false alarms.

[0053] S50: Determine a matching event of the surge event based on a cloud event library, and execute a corresponding monitoring strategy according to the matching event.

[0054] In this embodiment, by using a large amount of historical event data stored in the cloud, the system can compare and match the currently detected surge event with similar events in history. This matching process not only takes into account the basic characteristics of the event, but also comprehensively considers the status data and key characteristics of the protection device. If one or more similar historical events are matched, the system will refer to the processing experience of these events and select the most effective monitoring strategy to apply. This intelligent matching and decision-making mechanism based on big data can greatly improve the system's response efficiency and processing effect to surge events, and ensure the security and stability of equipment and networks. For example, in a certain match, the system found that the characteristics of the current event were highly similar to those of a previous surge event, so the system adopted the same emergency shutdown measures, thereby successfully avoiding damage to the equipment.

[0055] Preferably, by continuously acquiring and analyzing the protection signal change information, real-time protection information including the voltage change of the differential mode signal and the current change of the common mode signal can be obtained in time. After integration and analysis, these signal change information can generate comprehensive protection signal change data to provide basic data support for subsequent surge prediction. Continuous monitoring can ensure that the system is always in a protective state. Once an abnormal signal change is detected, the system can respond in time to effectively reduce the potential risks caused by the surge. Through this monitoring method, the protection capability of the industrial computer network port has been significantly enhanced, and it also provides a strong guarantee for the overall security of the system. In summary, it is possible to monitor and predict possible surge events in real time. This can greatly improve the service life of the protection device and the system's ability to respond to surge events, thereby significantly improving the reliability and safety of the industrial computer system.

[0056] Specifically, the step of continuously acquiring protection signal change information includes: S101, obtaining the real-time voltage change of the differential mode signal according to the differential mode protection module 3, and generating corresponding differential mode signal change information; In this embodiment, by monitoring the differential mode signal in the network interface, its voltage change is captured in real time. The voltage change of the differential mode signal often reflects the electromagnetic interference or transient voltage spikes that may exist in the network, which may have a negative impact on the normal operation of the device. By using high-precision voltage sensors and data acquisition modules, the system can quickly obtain the real-time voltage changes of the differential mode signal and record it as differential mode signal change information. Such information is of great significance for preventing the increase of bit error rate and equipment damage in network communication. For example, when the system detects abnormally high voltage fluctuations in the differential mode signal, it can immediately trigger an early warning or take protective measures to prevent the device from being affected by transient voltage surges.

[0057] S102, obtaining a current change of a common mode signal according to the common mode protection module 4, and generating corresponding common mode signal change information; In this embodiment, the current sensor integrated in the common-mode protection module 4 is used to monitor and record the current changes of the common-mode signal. The current changes of the common-mode signal are usually related to unstable ground potential or surges in the power supply system. These factors may cause electromagnetic compatibility problems of the equipment and cause serious equipment failures. By acquiring the current change information of the common-mode signal in real time, the system can identify and track potential common-mode current interference sources. For example, in the case of poor grounding of the equipment, the common-mode current may increase significantly, causing the equipment casing to be charged or generate leakage current, endangering the safety of equipment and personnel. By monitoring this information, the system can take timely measures to eliminate potential common-mode interference risks.

[0058] S103: Integrate and analyze the differential mode signal change information and the common mode signal change information to generate corresponding protection signal change information.

[0059] In this embodiment, the previously acquired change information of the differential mode signal and the common mode signal is integrated, and the change trends and characteristics of the two are combined to form a more comprehensive set of protection signal change information. Through such integrated analysis, the system can more accurately determine the nature and source of the electromagnetic interference or surge events occurring in the network interface. For example, analyzing the differential mode or common mode signal alone may not fully reflect the behavior of certain complex interference sources, while the integrated analysis can reveal the correlation between the differential mode and common mode signals, thereby better locating the root cause of the problem. This integrated analysis not only improves the accuracy of detection, but also enhances the system's ability to predict surge events, and can provide effective protection strategies in the first time to ensure the stable operation of equipment and systems. In summary, the working status of the protection circuit can be fully understood to ensure that when a surge occurs, it can respond quickly and take corresponding protection measures, thereby improving the protection effect and operational stability of the entire system.

[0060] Preferably, through this process, the changing characteristics of the protection signal can be accurately captured, and combined with the trained prediction model, accurate protection device status data can be generated. These data can not only reflect the current working status of the protection device, but also provide an effective basis for the subsequent surge event prediction. This method ensures the system's efficient monitoring and rapid response to potential surge risks, greatly improving the system's protection capabilities.

[0061] Specifically, the step of substituting the key features into the trained prediction model to generate a corresponding protection device status data set includes: S201, determining an input parameter value in a prediction model according to the signal amplitude variation characteristics; In this embodiment, the characteristic values ​​of the signal are identified by analyzing the amplitude change of the signal, and these characteristic values ​​will serve as important input parameters of the prediction model. The change in signal amplitude can usually reflect the potential surge risk or electromagnetic interference in the system. For example, when the signal amplitude suddenly increases or decreases, this may indicate that a voltage transient or load mutation has occurred in the system. These change characteristics are extracted by the signal processing algorithm, converted into numerical input parameter values ​​and input into the prediction model to evaluate the current operating status of the equipment and possible abnormal situations. In this way, the system can predict potential risks earlier and take preventive measures when necessary to avoid damage to the equipment caused by surges or other abnormalities.

[0062] S202, determining a frequency-related parameter value in a prediction model according to the frequency distribution characteristics; In this embodiment, by analyzing the distribution of the signal in different frequency ranges, its frequency characteristics are extracted and converted into frequency-related parameters required by the model. Frequency distribution characteristics can usually reveal the presence of noise sources or periodic interference in the system. For example, if a strong signal component is detected in a specific frequency range, this may indicate the presence of electromagnetic interference of a specific frequency in the system or harmonics caused by vibration of the equipment. In the predictive model, these frequency characteristics are used to evaluate the health status of the current equipment or predict possible failures. By inputting these frequency-related parameter values ​​into the model, the system can more accurately predict the operation of the equipment and perform preventive maintenance or adjustments before problems occur to ensure the stability and reliability of the equipment.

[0063] S203, determining a time-related parameter value in a prediction model according to the time domain feature; In this embodiment, by analyzing the pattern of signal changes over time, its time domain features are extracted and corresponding time-related parameter values ​​are generated. The time domain features reflect the changing rules of the signal in the time dimension, such as the width of the pulse, the delay time of the signal, or the periodicity of the waveform. These features are very important for identifying transient events, long-term trend changes, or periodic fluctuations. By extracting these time domain features and converting them into input parameters of the prediction model, the system can better analyze the time-varying characteristics of the signal, thereby predicting possible failures or abnormal conditions of the equipment. For example, an increase in the delay time of the signal may mean that there is a potential impedance mismatch problem in the system, and after these time-related parameter values ​​are input into the prediction model, they can help the system detect and respond to these problems in a timely manner to avoid further damage to the equipment.

[0064] S204: Input the input parameter value, frequency-related parameter value, and time-related parameter value into a trained prediction model to generate a protection device status data set.

[0065] In this embodiment, the various characteristic parameter values ​​extracted previously are uniformly input into a trained prediction model, which has been optimized through a large amount of historical data and can accurately predict the current state of the protection device. By using these different types of parameter values ​​as input, the model can comprehensively evaluate the operating status of the protection device and generate a data set that includes the current health status of the equipment, possible faults, and predicted future states. For example, the model may predict that a certain protection device is about to reach its life limit, or there is a risk of abnormal voltage fluctuations at a certain point in the future. This data set provides an important reference for subsequent equipment maintenance and preventive measures, ensuring that the protection device can operate in the most optimized state and reducing downtime and maintenance costs caused by equipment failures.

[0066] Preferably, through this method, the system can quickly determine possible surge events through abnormal data in the protection device status data set. For a single abnormal data, the system can identify the minor surge events that it may cause; and when there are multiple abnormal data, the system determines more serious surge events by comprehensively analyzing the characteristic information and distribution characteristics of these data. This refined analysis method improves the detection accuracy of surge events and the timeliness of protection response. In summary, based on the amplitude change characteristics, frequency distribution characteristics and time domain characteristics of the signal, it is possible to accurately evaluate and predict the status of the protection device, and then identify possible surge events in advance, thereby improving the circuit system's protection capabilities and response efficiency to surge events.

[0067] Specifically, the step of determining a surge event according to the protection device status data set includes: S401, filtering out abnormal data according to the protection device status data set, wherein each abnormal data represents a value of a different abnormal type of a protection device; In this embodiment, by analyzing each data in the protection device status data set, data with large deviations from the normal state are screened out. These deviations reflect abnormal conditions that occur during the operation of the protection device. For example, when the voltage, temperature, or current of the protection device exceeds the preset range, it may indicate that the device is experiencing or is about to experience a failure. Each abnormal data represents a different abnormal type of the protection device, such as overcurrent, overvoltage, or high temperature. The extraction of this data is crucial for quickly identifying abnormal conditions of the equipment. Through this screening process, the system can detect potential problems earlier, so that corresponding maintenance or replacement measures can be taken before the problem escalates into a major failure, reducing system downtime and improving overall operating efficiency.

[0068] S402: when there is one abnormal data, determining a corresponding surge event based on characteristic information of the abnormal data; In this embodiment, by analyzing the specific characteristics of a single abnormal data, such as the frequency of occurrence, severity, and impact range of the abnormality, it is determined whether it is associated with a surge event. For example, if a voltage abnormality is detected in a protection device and the abnormality meets the characteristics of a surge event (such as a sudden increase in voltage and exceeding the normal range), the system will mark it as a potential surge event. This judgment is based on a detailed analysis of the abnormal data, such as its matching degree with the characteristics of the surge event, the suddenness and duration of the abnormal data, etc., to ensure that the system can accurately identify the surge event indicated by the single abnormal data, so as to take timely measures to prevent further damage.

[0069] S403: When there are multiple pieces of abnormal data, determine a corresponding surge event according to distribution characteristics and characteristic information of protection devices corresponding to the multiple pieces of abnormal data.

[0070] In this embodiment, through comprehensive analysis of multiple abnormal data, the correlation and overall distribution between them are identified, and then it is determined whether there is a surge event. For example, the current or voltage anomalies of multiple protection devices in the same time period may indicate that a large-scale surge event has occurred in the system. The system confirms whether these anomalies point to a surge event together by analyzing the distribution characteristics of these abnormal data, such as their concentration in time and space, and the characteristic information of each anomaly. Through this comprehensive judgment, the system can more comprehensively identify and respond to complex surge events, avoid single anomalies being viewed in isolation, and thus improve the accuracy of surge event identification and the timeliness of response.

[0071] Preferably, in this process, the system assigns different weight coefficients to abnormal data, and can quickly locate the most likely surge event according to the severity of the surge event, and compare it with the matching event in the cloud event library. This method not only improves the efficiency of surge event identification, but also ensures the accuracy and timeliness of the protection strategy, thereby ensuring the safe operation of the system to the greatest extent.

[0072] In summary, the abnormal types and distribution characteristics of protective devices can be accurately identified, so as to quickly locate and respond to surge events, reduce damage to circuits caused by surges, and improve the safety and stability of the entire system.

[0073] Specifically, the step of determining a surge event according to the protection device status data set further includes: S404, when there is one abnormal data, determining the abnormal data as the first key abnormal data, and determining a preset slight weight coefficient; In this embodiment, in the protection device status data set, if only one abnormal data appears, the system will mark it as the first key abnormal data. This type of data usually represents an independent and significant abnormal situation, such as a sudden current overload or voltage abnormality in a certain protection device. In order to evaluate the severity of this abnormality, the system will assign a preset slight weight coefficient to the abnormal data. This weight coefficient is set based on the system's historical data and empirical rules to measure the potential threat level of a single abnormal event to the system. By assigning a slight weight coefficient, the system can handle this situation more flexibly in subsequent surge event analysis, that is, reduce unnecessary alarms when the slight abnormality fails to cause further problems, but quickly increase the alarm level when the abnormality persists or worsens. The technical effect of this is that it can effectively filter out some possible false alarms while ensuring that the real threat can be accurately captured, thereby improving the monitoring accuracy and response speed of the system.

[0074] S405: When there are multiple abnormal data, filter out the second key abnormal data according to the characteristic information of each abnormal data, and determine a preset severity weight coefficient; In this embodiment, when there are multiple abnormal data in the protection device status data set, the system will further analyze these data. First, by comparing the characteristic information of each abnormal data (such as the severity of the abnormality, the frequency of occurrence, the duration, etc.), the most representative abnormal data is screened out, which is called the second key abnormal data. Such data usually indicates more serious problems in the system, such as voltage overruns or large-scale current fluctuations at multiple points at the same time. For the second key abnormal data, the system will assign a preset serious weight coefficient, which reflects the cumulative impact that multiple abnormal events may have on the system. The determination of the preset serious weight coefficient is also based on historical data and actual operating experience, aiming to ensure that the system can accurately assess its potential risks when facing multiple abnormalities, and take corresponding preventive or repair measures. In this way, the system can more comprehensively evaluate complex situations, ensure that multiple abnormalities will not be ignored, and can quickly respond to possible serious surge events to maximize equipment safety.

[0075] S406: Determine a matching identifier corresponding to the surge event based on the first key abnormality data and a preset minor weight coefficient, or based on the second key abnormality data and the severe weight coefficient, where the matching identifier is used to match a corresponding matching event.

[0076] In this embodiment, the system first generates a matching identifier based on the determined first key abnormal data and its minor weight coefficient, or the second key abnormal data and its severe weight coefficient. This matching identifier is a unique mark used to characterize the characteristics of the current surge event. Then, the system will compare this matching identifier with the historical surge event data stored in the cloud event library to find the closest matching event. Matching events usually contain historical records of similar characteristics and the response measures and results at the time. Through this process, the system can quickly identify the nature and potential impact of the current surge event, and formulate and implement corresponding monitoring strategies or protective measures accordingly. This matching mechanism greatly improves the accuracy and efficiency of the system's response to surge events, especially when facing complex or uncommon surge events, it can effectively use historical experience to guide current operations, reduce system risks, and ensure the long-term stable operation of equipment.

[0077] Preferably, when there is one abnormal data, the system first analyzes the abnormal data, determines it as the first key abnormal data, and assigns a preset slight weight coefficient to evaluate the severity of the surge event that it may cause. This slight weight coefficient can be set according to historical data and experience values ​​to distinguish between slight abnormal conditions and more serious potential risks. When there are multiple abnormal data, the system will screen out the second key abnormal data with the greatest impact according to the characteristic information of each abnormal data, such as abnormal voltage value, frequency change and other parameters, and set a preset severe weight coefficient for it. This severe weight coefficient can help the system focus on abnormal conditions that may cause major surge events. Next, the system determines the final surge event matching identifier based on the first key abnormal data and the slight weight coefficient, or based on the second key abnormal data and the severe weight coefficient. The matching identifier is used to match the currently monitored abnormal conditions with known events in the cloud event library, so as to select the most appropriate monitoring strategy or protective measures. In this way, the system can pre-identify and take corresponding protective measures before the surge event occurs, effectively reducing the damage to the industrial computer system caused by the surge event.

[0078] In summary, it is possible to quickly identify potential risks and take effective protective measures before a surge event occurs, thus avoiding equipment damage caused by surges and significantly improving the overall protection capabilities of the system.

[0079] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A surge protection circuit for industrial computer network ports, characterized in that: The invention comprises a network interface module (1) for receiving external signals, a transformer module (2), a differential mode protection module (3), a common mode protection module (4) and a signal processing module (5), wherein the differential signal output port of the network interface module (1) is connected to the differential signal input port of the transformer module (2), the differential signal output port of the transformer module (2) is connected to the differential signal input port of the signal processing module (5), the network data output port of the signal processing module (5) is connected to the communication interface of the system mainboard for realizing the functions of data transmission and network communication, the differential signal output port of the transformer module (2) is connected to the differential signal input port of the differential mode protection module (3) for preventing differential mode surge from damaging the signal processing module (5), the center tap port of the transformer module (2) is connected to the surge input port of the common mode protection module (4) for discharging surge, and the line width of the line between the center tap port of the transformer module (2) and the differential signal output port of the network interface module (1) is greater than 4 mil.

2. The surge protection circuit for industrial computer network port according to claim 1 is characterized in that: The common mode protection module (4) comprises a discharge tube D42, a light emitting diode GT1, a resistor R386 and a capacitor C418; the central tap port of the transformer module (2) is connected to the first end of the resistor R386, the second end of the resistor R386 is connected to the first end of the capacitor C418, the second end of the capacitor C418 is grounded, the central tap port of the transformer module (2) is connected to the first end of the discharge tube D42, the second end of the discharge tube D42 is grounded, the central tap port of the transformer module (2) is connected to the positive terminal of the light emitting diode GT1, and the negative terminal of the light emitting diode GT1 is grounded.

3. The surge protection circuit for industrial computer network port according to claim 1 is characterized in that: The differential mode protection module (3) comprises an electrostatic protection element, and the model of the electrostatic protection element is SRV05-4B.

4. The surge protection circuit for industrial computer network port according to claim 1 is characterized in that: At least one resistor is connected between the differential signal output port of the transformer module (2) and the differential signal input port of the signal processing module (5) to filter out residual voltage and pulse peaks of surge energy.

5. The surge protection circuit for industrial computer network port according to claim 1 is characterized in that: The line width of the wiring between the center tap port of the transformer module (2) and the differential signal output port of the network interface module (1) is 8 mil-10 mil.

6. A monitoring method for an industrial computer network port surge protection circuit, using the industrial computer network port surge protection circuit as claimed in any one of claims 1 to 5, characterized in that: The monitoring method comprises: Continuously acquiring protection signal change information, wherein the protection signal change information at least includes differential mode signal change information of the differential mode protection module and common mode signal change information of the common mode protection module; Extracting key features according to the protection signal change information, wherein the key features at least include signal amplitude change features, frequency distribution features and time domain features; Substituting the key features into the trained prediction model to generate a corresponding protection device status data set; Determining a surge event according to the protection device status data set; Based on the cloud event library, a matching event of the surge event is determined, and a corresponding monitoring strategy is executed according to the matching event.

7. A monitoring method for an industrial computer network port surge protection circuit according to claim 6, characterized in that: The step of continuously acquiring protection signal change information includes: According to the differential mode protection module, real-time voltage changes of the differential mode signal are obtained, and corresponding differential mode signal change information is generated; According to the common mode protection module, the current change of the common mode signal is obtained, and corresponding common mode signal change information is generated; The differential mode signal change information and the common mode signal change information are integrated and analyzed to generate corresponding protection signal change information.

8. The monitoring method for the surge protection circuit applied to the industrial computer network port according to claim 6 is characterized in that: The step of substituting the key features into the trained prediction model to generate a corresponding protection device status data set includes: Determining the input parameter value in the prediction model according to the signal amplitude variation characteristics; Determining frequency-related parameter values ​​in a prediction model according to the frequency distribution characteristics; Determining the time-related parameter value in the prediction model according to the time domain characteristics; The input parameter values, frequency-related parameter values ​​and time-related parameter values ​​are input into a trained prediction model to generate a protection device status data set.

9. A monitoring method for an industrial computer network port surge protection circuit according to claim 8, characterized in that: The step of determining a surge event according to the protection device status data set includes: According to the protection device status data set, abnormal data is screened out, wherein each abnormal data represents a value of a different abnormal type of a protection device; When there is one abnormal data, determining a corresponding surge event based on characteristic information of the abnormal data; When there are multiple pieces of abnormal data, the corresponding surge event is determined according to the distribution characteristics and characteristic information of the protection devices corresponding to the multiple pieces of abnormal data.

10. A monitoring method for an industrial computer network port surge protection circuit according to claim 9, characterized in that: The step of determining a surge event according to the protection device status data set includes: When there is one abnormal data, determining the abnormal data as the first key abnormal data, and determining a preset slight weight coefficient; When there are multiple abnormal data, filter out the second key abnormal data according to the characteristic information of each abnormal data, and determine a preset severity weight coefficient; Based on the first key abnormality data and a preset minor weight coefficient, or based on the second key abnormality data and the serious weight coefficient, a matching identifier corresponding to the surge event is determined, and the matching identifier is used to match a corresponding matching event.

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