Distribution network communication fault diagnosis method
By generating a dynamic adjustment model of signal transmission quality scoring coefficients and non-fault interference factor correction coefficients, the problem of misjudgment in complex environments of traditional distribution network communication fault diagnosis methods is solved, achieving higher diagnostic accuracy and adaptability.
Patent Information
- Application Number
- CN202511595418.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-03
- Publication Date
- 2026-01-13
AI Technical Summary
Traditional fault diagnosis methods for distribution network communication cannot dynamically adapt to real-time operating conditions, resulting in a high misjudgment rate. In particular, it is difficult to distinguish between non-fault interference and fault interference in environments with frequent lightning strikes.
By generating signal transmission quality scoring coefficients and combining them with non-fault interference factor data to establish a dynamic adjustment model, the system can dynamically diagnose fault interference factors in the distribution network communication system, including dynamic correction of factors such as signal packet loss rate, delay, lightning frequency, and equipment load.
It improves the accuracy of fault diagnosis in distribution network communication, reduces the false alarm rate, and enables the diagnosis to dynamically adapt to real-time operating conditions.
Smart Images
Figure CN121333902A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of power system communication technology, and particularly relates to a method for diagnosing communication faults in distribution networks. Background Technology
[0002] As the core support of the smart grid, the stability of the distribution network communication system directly affects the reliability of power supply and the ability to control it in real time.
[0003] Distribution network communication networks are often exposed to complex and ever-changing operating environments and face two main types of interference: one is non-fault interference (such as instantaneous lightning and temporary equipment overload), and the other is fault interference (such as permanent hardware damage and line breakage). Traditional fault diagnosis methods often use fixed thresholds (such as preset warning values for signal packet loss rate and delay) to directly determine the communication status.
[0004] However, distribution network communication is significantly affected by the environment (such as frequent lightning during the rainy season) and equipment load fluctuations. Fixed thresholds cannot dynamically adapt to changes in real-time operating conditions, which can easily lead to misjudgments. For example, the instantaneous signal attenuation caused by lightning may be misjudged as equipment failure, triggering invalid maintenance and thus reducing the accuracy of distribution network communication fault diagnosis. Summary of the Invention
[0005] To address the shortcomings of existing technologies, this invention provides a method for diagnosing communication faults in distribution networks, thus solving the aforementioned problems.
[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for diagnosing communication faults in a distribution network, comprising the following steps: Acquire signal transmission data from the distribution network communication system and generate signal transmission quality scoring coefficients; the signal transmission data includes signal packet loss rate and signal delay. Based on the signal transmission quality rating coefficient, determine whether the signal transmission status of the distribution network communication system is a low-quality transmission status; If the signal transmission status of the distribution network communication system is a low-quality transmission status, obtain the non-fault interference factor data of the signal transmission of the distribution network communication system, establish a non-fault interference factor analysis model, and generate non-fault interference factor correction coefficients; among which, the non-fault interference factor data includes the environmental status data of the communication link and the load data of the communication equipment; the environmental status data includes the frequency and intensity of lightning occurrence, and the load data includes CPU utilization and memory usage. Based on the correction coefficients for non-faulty interference factors, a dynamic adjustment model is established to generate dynamic diagnostic values for signal transmission quality. Based on the dynamic diagnostic values and signal transmission quality scoring coefficients, it is determined whether there are fault-related interference factors in the distribution network communication system.
[0007] Based on the above technical solutions, the present invention also provides the following optional technical solutions: Further technical solution: The method for generating the signal transmission quality scoring coefficient specifically includes the following steps: Set the detection period and obtain the signal packet loss rate and signal delay of the distribution network communication system within the detection period; A signal packet loss score is generated based on the signal packet loss rate of the distribution network communication system within the detection period. The signal packet loss rate of the distribution network communication system during the detection period is used to generate a signal delay score. A signal transmission quality score coefficient is generated based on the signal packet loss score and the signal delay score.
[0008] Further technical solution: The specific method for generating the signal packet loss score is as follows: Based on the signal packet loss rate and the signal packet loss rate warning value of the distribution network communication system, a packet loss rate deviation value is generated; whereby the packet loss rate deviation value refers to the difference between the signal packet loss rate and the signal packet loss rate warning value of the distribution network communication system. A signal packet loss score is generated based on the packet loss rate deviation and the signal packet loss rate warning value; the signal packet loss score is the product of the packet loss rate deviation and the signal packet loss rate warning value.
[0009] A further technical solution: The signal delay score is generated in the following specific way: Based on the signal delay and signal delay warning value of the distribution network communication system, a delay deviation value is generated; whereby the delay deviation value refers to the difference between the signal delay of the distribution network communication system and the signal delay warning value. A signal delay score is generated based on the delay deviation value and the signal delay warning value; the signal delay score is the product of the delay deviation value and the signal delay warning value.
[0010] Further technical solution: The method for generating the correction coefficient for non-faulty interference factors specifically includes the following steps: Obtain the frequency and intensity of lightning strikes, as well as the CPU utilization and memory usage of communication equipment, during signal transmission in the distribution network communication system. Based on the frequency of lightning occurrence in the communication link during signal transmission in the distribution network communication system, generate the impact value of lightning occurrence frequency; Based on the lightning intensity of the communication link during signal transmission in the distribution network communication system, generate the lightning intensity impact value; Generate a CPU status assessment value for the communication equipment based on its CPU utilization. Generate a memory status assessment value for the communication device based on its memory usage rate; Based on the impact values of lightning occurrence frequency, lightning intensity, CPU status assessment value of communication equipment, and memory status assessment value of communication equipment, an analysis model for non-fault interference factors is established, and correction coefficients for non-fault interference factors are generated.
[0011] Further technical solution: The specific method for generating the lightning occurrence frequency influence value is as follows: The frequency of lightning occurrence in the communication link during signal transmission in the distribution network communication system is corrected based on the lightning intensity. Unaffected lightning occurrences are removed from the frequency of lightning occurrence in the communication link during signal transmission, resulting in a corrected value for the lightning occurrence frequency. The preprocessing method involves data filtering. A lightning frequency overflow value is generated based on the lightning frequency correction value and the lightning frequency warning value; whereby the lightning frequency overflow value refers to the difference between the lightning frequency correction value and the lightning frequency warning value. Based on the lightning occurrence frequency overflow value and the lightning occurrence frequency warning value, a lightning occurrence frequency impact value is generated; whereby the lightning occurrence frequency impact value refers to the ratio between the lightning occurrence frequency overflow value and the lightning occurrence frequency warning value. The specific method for generating the lightning intensity influence value is as follows: A lightning intensity overflow value is generated based on the lightning intensity and lightning intensity warning value of the communication link during signal transmission in the distribution network communication system; whereby the lightning intensity overflow value refers to the difference between the lightning intensity and the lightning intensity warning value of the communication link during signal transmission in the distribution network communication system. A lightning intensity impact value is generated based on the lightning intensity overflow value and the lightning intensity warning value; whereby the lightning intensity impact value refers to the ratio between the lightning intensity overflow value and the lightning intensity warning value. The specific method for generating the CPU status evaluation value of the communication device is as follows: A CPU utilization overflow value is generated based on the CPU utilization rate and CPU utilization warning value of the communication equipment; where the CPU utilization overflow value refers to the difference between the CPU utilization rate and the CPU utilization warning value of the communication equipment. A CPU status assessment value for the communication device is generated based on the CPU utilization overflow value and the CPU utilization warning value; wherein, the CPU status assessment value of the communication device refers to the ratio between the CPU utilization overflow value and the CPU utilization warning value. The specific method for generating the memory status evaluation value of the communication device is as follows: A memory usage overflow value is generated based on the memory usage rate and memory usage warning value of the communication device; the memory usage overflow value refers to the difference between the memory usage rate and the memory usage warning value of the communication device. A CPU status assessment value for the communication device is generated based on the memory usage overflow value and the memory usage warning value; the CPU status assessment value for the communication device refers to the ratio between the memory usage overflow value and the memory usage warning value.
[0012] Further technical solution: The method for generating the lightning occurrence frequency correction value specifically includes: Compare the lightning intensity in the frequency of lightning occurrence with the lightning intensity warning value to determine whether the lightning that occurs is an influential lightning; If the lightning intensity in the frequency of lightning occurrence is greater than or equal to the lightning intensity warning value, then the lightning that occurs is determined to be an influential lightning. The frequency of occurrence of influential lightning strikes is obtained, and a lightning occurrence frequency correction value is generated. The lightning occurrence frequency correction value refers to the ratio between the frequency of occurrence of influential lightning strikes and the duration of the detection period.
[0013] Further technical solution: The expression of the non-fault interference factor analysis model is specifically as follows: ; In the expression, This represents the correction coefficient for non-fault-related interference factors. This represents the impact value of the frequency of lightning occurrence. This represents the impact value of lightning intensity. This represents the CPU status assessment value of the communication device. This represents the memory status assessment value of the communication device, where α and β are both weight ratios, and α+β=1.
[0014] A further technical solution: The method for generating the dynamic diagnostic values for signal transmission quality specifically includes the following steps: Obtain the diagnostic threshold for determining whether the signal transmission status of the distribution network communication system is in a low-quality transmission state, and mark it as the initial diagnostic threshold; Based on the initial diagnostic threshold and the correction coefficients for non-faulty interference factors, a dynamic adjustment model is established to generate dynamic diagnostic values for signal transmission quality.
[0015] Further technical solution: The expression for the dynamic adjustment model is specifically as follows: ; In the expression, This represents a dynamic diagnostic value for signal transmission quality. This represents the initial diagnostic threshold. This represents the correction coefficient for non-fault-related interference factors.
[0016] This invention provides a method for diagnosing communication faults in distribution networks, which has the following advantages compared with existing technologies: This invention analyzes the signal transmission data of the distribution network communication system to initially determine the signal transmission quality. Then, by combining non-fault interference factors in the distribution network communication, it dynamically adjusts the threshold for judging the signal transmission quality and performs a secondary evaluation of the signal transmission quality to determine whether there are fault interference factors in the distribution network communication system. This enables the fault diagnosis of the distribution network communication to dynamically adapt to real-time operating conditions, reduces the misjudgment rate of fault diagnosis, and thus improves the accuracy of fault diagnosis in the distribution network communication. Attached Figure Description
[0017] Figure 1 This is a flowchart illustrating a method for diagnosing communication faults in a distribution network, as provided in an embodiment of the present invention.
[0018] Figure 2 The flowchart of step S10 provided in the embodiment of the present invention is shown.
[0019] Figure 3 The flowchart of step S20 provided in the embodiment of the present invention is shown.
[0020] Figure 4 The flowchart of step S30 provided in the embodiment of the present invention is shown.
[0021] Figure 5 A flowchart for determining whether a lightning strike is an influential lightning strike, provided as an embodiment of the present invention.
[0022] Figure 6 The flowchart of step S40 provided in the embodiment of the present invention is shown.
[0023] Figure 7 The flowchart of step S50 provided in the embodiment of the present invention. Detailed Implementation
[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0025] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.
[0026] Please see Figure 1 A method for diagnosing distribution network communication faults, provided in one embodiment of the present invention, includes the following steps: Step S10: Obtain signal transmission data of the distribution network communication system and generate signal transmission quality scoring coefficients; wherein, the signal transmission data includes signal packet loss rate and signal delay; It should be explained that the packet loss rate refers to the proportion of data packets that fail to reach their destination during network transmission. Its purpose is to measure what percentage of the data packets sent are lost or not received correctly. In addition, the packet loss rate is usually expressed as a percentage, which is the ratio between the number of lost data packets and the total number of data packets sent. Signal latency refers to the time required for data to travel from the source device to the destination device. It is an important indicator for measuring network response speed. Low latency means that data is transmitted faster in the network, while high latency affects network performance and user experience. In addition, signal latency is usually measured in milliseconds (ms), which represents the time elapsed from the sender to the receiver. Step S20: Determine whether the signal transmission status of the distribution network communication system is a low-quality transmission status based on the signal transmission quality scoring coefficient. Step S30: If the signal transmission status of the distribution network communication system is a low-quality transmission status, obtain the non-fault interference factor data of the signal transmission of the distribution network communication system, establish a non-fault interference factor analysis model, and generate non-fault interference factor correction coefficients; wherein, the non-fault interference factor data includes the environmental status data of the communication link and the load data of the communication equipment; the environmental status data includes the frequency and intensity of lightning occurrence, and the load data includes CPU utilization and memory occupancy; It should be further clarified that non-faulty interference factors refer to communication interference factors that do not require hardware replacement or major repairs. These factors are usually recoverable and can be resolved by optimizing resource allocation, upgrading hardware, or adjusting configurations. For example, lightning in a communication link is a non-faulty interference factor. This is mainly because a strong lightning discharge releases a large amount of electromagnetic waves, which can cause signal attenuation, distortion, or complete loss. The impact of lightning on communication signals will disappear as the lightning disappears, which is a recoverable situation. In addition, if lightning damages communication equipment, for example, if lightning strikes a communication device and causes damage, this situation (i.e., equipment damage) is a fault interference factor, which is irreversible and requires replacement of parts or even the entire device to restore it, i.e., it is an unrecoverable situation. Step S40: Based on the correction coefficients for non-faulty interference factors, establish a dynamic adjustment model and generate dynamic diagnostic values for signal transmission quality; Step S50: Based on the dynamic diagnostic value of signal transmission quality and the signal transmission quality scoring coefficient, determine whether there are fault interference factors in the distribution network communication system.
[0027] Please see Figure 2 As a preferred embodiment of the present invention, the method for generating the signal transmission quality scoring coefficient specifically includes the following steps: S11: Set the detection period and obtain the signal packet loss rate and signal delay of the distribution network communication system within the detection period; It should be explained that the signal packet loss rate of the distribution network communication system within the detection period refers to the average of all signal packet loss rates within the detection period; similarly, the signal delay of the distribution network communication system within the detection period refers to the average of all signal delays within the detection period; for example, the detection period is divided into several time periods, and the signal packet loss rate in each time period is averaged to generate the average packet loss rate, which is the signal packet loss rate of the distribution network communication system within the detection period. S12: Generate a signal packet loss score based on the signal packet loss rate of the distribution network communication system within the detection period; S13: Detect the signal packet loss rate of the distribution network communication system within the detection period and generate a signal delay score; S14: Generate signal transmission quality score coefficients based on signal packet loss score and signal delay score; For example, through the formula: ; Generate signal transmission quality rating coefficient K; In the formula, This represents the signal packet loss score. This represents the signal delay score.
[0028] In a preferred embodiment of the present invention, the signal packet loss score is generated in the following manner: Based on the signal packet loss rate and the signal packet loss rate warning value of the distribution network communication system, a packet loss rate deviation value is generated; whereby the packet loss rate deviation value refers to the difference between the signal packet loss rate and the signal packet loss rate warning value of the distribution network communication system. It should be explained that the signal packet loss rate warning value is a preset value, which is set by the relevant personnel. In addition, the signal packet loss rate warning value refers to the maximum signal packet loss rate of the distribution network communication system under standard operating conditions. A signal packet loss score is generated based on the packet loss rate deviation and the signal packet loss rate warning value; the signal packet loss score is the product of the packet loss rate deviation and the signal packet loss rate warning value. For example, through the formula: ; Generate signal packet loss score ; In the formula, This represents the packet loss rate of the distribution network communication system. This represents the warning value for signal packet loss rate.
[0029] In a preferred embodiment of the present invention, the signal delay score is generated in the following manner: Based on the signal delay and signal delay warning value of the distribution network communication system, a delay deviation value is generated; whereby the delay deviation value refers to the difference between the signal delay of the distribution network communication system and the signal delay warning value. It should be noted that the signal delay warning value is a preset value, which is set by the relevant personnel; in addition, the signal delay warning value refers to the maximum signal delay of the distribution network communication system under standard operating conditions. A signal delay score is generated based on the delay deviation value and the signal delay warning value; the signal delay score is the product of the delay deviation value and the signal delay warning value. For example, through the formula: ; Generate signal delay score ; In the formula, This refers to the signal delay in the distribution network communication system. This represents the signal delay warning value.
[0030] Please see Figure 3 In a preferred embodiment of the present invention, the method for determining whether the signal transmission status of the distribution network communication system is a low-quality transmission status is specifically as follows: Compare the signal transmission quality score coefficient with the signal transmission quality score coefficient threshold; In this embodiment, the threshold value for the signal transmission quality scoring coefficient is a preset value, which is set by those skilled in the art. If the signal transmission quality score coefficient is less than or equal to the signal transmission quality score coefficient threshold, the signal transmission status of the distribution network communication system is determined to be not a low-quality transmission status. When the signal transmission status of the distribution network communication system is not a low-quality transmission status, the smaller the signal transmission quality score coefficient, the more normal the signal transmission status of the distribution network communication system. If the signal transmission quality score coefficient is greater than the signal transmission quality score coefficient threshold, the signal transmission status of the distribution network communication system is determined to be a low-quality transmission status. When the signal transmission status of the distribution network communication system is a low-quality transmission status, the larger the signal transmission quality score coefficient, the more abnormal the signal transmission status of the distribution network communication system.
[0031] Please see Figure 4 As a preferred embodiment of the present invention, the method for generating the non-faulty interference factor correction coefficient specifically includes the following steps: S31: Obtain the frequency of lightning occurrence, lightning intensity, CPU utilization and memory usage of communication equipment during signal transmission in the distribution network communication system; It should be further explained that the lightning intensity of the communication link, the CPU utilization rate of the communication equipment, and the memory usage rate of the communication equipment during signal transmission in the distribution network communication system are all average values, i.e., the average values within the detection period. For example, the detection period is divided into several time periods, and the CPU utilization rate of the communication equipment in each time period is averaged to generate the average CPU utilization rate, i.e., the CPU utilization rate of the communication equipment. In addition, the lightning occurrence frequency refers to the ratio between the duration of the detection period and the number of lightning occurrences within the detection period. S32: Generate the lightning occurrence frequency impact value based on the lightning occurrence frequency of the communication link during signal transmission in the distribution network communication system; S33: Generate lightning intensity impact value based on the lightning intensity of the communication link during signal transmission in the distribution network communication system; S34: Generate a CPU status evaluation value for the communication equipment based on its CPU utilization rate; S35: Generate a memory status assessment value for the communication device based on its memory usage rate; S36: Based on the impact values of lightning occurrence frequency, lightning intensity, CPU status assessment value of communication equipment, and memory status assessment value of communication equipment, establish a non-fault interference factor analysis model and generate non-fault interference factor correction coefficients.
[0032] In a preferred embodiment of the present invention, the method for generating the lightning occurrence frequency influence value is as follows: The frequency of lightning occurrence in the communication link during signal transmission in the distribution network communication system is corrected based on the lightning intensity. The number of lightning occurrences that have no effect on the frequency of lightning occurrence in the communication link during signal transmission in the distribution network communication system is removed, and a corrected value for the frequency of lightning occurrence is generated. A lightning frequency overflow value is generated based on the lightning frequency correction value and the lightning frequency warning value; whereby the lightning frequency overflow value refers to the difference between the lightning frequency correction value and the lightning frequency warning value. Based on the lightning occurrence frequency overflow value and the lightning occurrence frequency warning value, a lightning occurrence frequency impact value is generated; whereby the lightning occurrence frequency impact value refers to the ratio between the lightning occurrence frequency overflow value and the lightning occurrence frequency warning value. It should be added that wireless communication equipment usually has certain design standards for resisting lightning interference. These standards specify the lightning interference frequencies that the equipment can withstand. When the lightning frequency reaches a certain threshold, the equipment may not be able to work properly and additional protective measures need to be taken. This threshold is the lightning frequency warning value. In addition, the lightning intensity warning value refers to the maximum value of the lightning interference frequency resistance capability in the design standard for resisting lightning interference of wireless communication equipment.
[0033] In a preferred embodiment of the present invention, the method for generating the lightning intensity influence value is as follows: A lightning intensity overflow value is generated based on the lightning intensity and lightning intensity warning value of the communication link during signal transmission in the distribution network communication system; whereby the lightning intensity overflow value refers to the difference between the lightning intensity and the lightning intensity warning value of the communication link during signal transmission in the distribution network communication system. A lightning intensity impact value is generated based on the lightning intensity overflow value and the lightning intensity warning value; whereby the lightning intensity impact value refers to the ratio between the lightning intensity overflow value and the lightning intensity warning value. It should be added that wireless communication equipment usually has certain design standards for resisting lightning interference. These standards stipulate that the equipment can withstand a certain level of lightning intensity. When the lightning intensity reaches a certain threshold, the equipment may not be able to work properly and additional protective measures need to be taken. This threshold is called the lightning intensity warning value. In addition, the lightning intensity warning value refers to the maximum value of the lightning intensity resistance capability in the design standard for resisting lightning interference of wireless communication equipment.
[0034] In a preferred embodiment of the present invention, the CPU status evaluation value of the communication device is generated in the following manner: A CPU utilization overflow value is generated based on the CPU utilization rate and CPU utilization warning value of the communication equipment; where the CPU utilization overflow value refers to the difference between the CPU utilization rate and the CPU utilization warning value of the communication equipment. A CPU status assessment value for the communication device is generated based on the CPU utilization overflow value and the CPU utilization warning value; wherein, the CPU status assessment value of the communication device refers to the ratio between the CPU utilization overflow value and the CPU utilization warning value. It should be noted that the CPU utilization warning value is the maximum CPU utilization of the communication device under standard operating conditions; if the CPU utilization of the communication device is too high, it may lead to network communication delays, packet loss, or a decrease in processing capacity. In addition, excessive CPU utilization of communication equipment is caused by factors such as excessive system load, too many tasks being processed simultaneously, or insufficient configuration. This can be avoided by optimizing resource management or improving hardware performance, which are non-fault-related interference factors.
[0035] In a preferred embodiment of the present invention, the method for generating the memory state evaluation value of the communication device is as follows: A memory usage overflow value is generated based on the memory usage rate and memory usage warning value of the communication device; the memory usage overflow value refers to the difference between the memory usage rate and the memory usage warning value of the communication device. A CPU status assessment value for the communication device is generated based on the memory usage overflow value and the memory usage warning value; the CPU status assessment value for the communication device refers to the ratio between the memory usage overflow value and the memory usage warning value. It should be noted that the memory utilization warning value refers to the maximum value of CPU utilization and memory utilization of communication equipment under standard operating conditions; excessive memory utilization may lead to a decrease in the response speed of communication equipment or a performance bottleneck, which may affect network quality or communication stability. In addition, excessive memory usage may be caused by improper management or use of system resources, which can be alleviated by optimizing system resources. In other words, excessive memory usage is a non-fault-related interference factor.
[0036] Please see Figure 5 In a preferred embodiment of the present invention, the method for generating the lightning occurrence frequency correction value specifically includes: Compare the lightning intensity in the frequency of lightning occurrence with the lightning intensity warning value to determine whether the lightning that occurs is an influential lightning; If the lightning intensity in the frequency of lightning occurrence is less than the lightning intensity warning value, then the lightning that occurs is determined to be a non-impact lightning. If the lightning intensity in the frequency of lightning occurrence is greater than or equal to the lightning intensity warning value, then the lightning that occurs is determined to be an influential lightning. The frequency of occurrence of influential lightning strikes is obtained, and a lightning occurrence frequency correction value is generated. The lightning occurrence frequency correction value refers to the ratio between the frequency of occurrence of influential lightning strikes and the duration of the detection period.
[0037] In a preferred embodiment of the present invention, the expression of the non-fault interference factor analysis model is specifically as follows: ; In the expression, This represents the correction coefficient for non-fault-related interference factors. This represents the impact value of the frequency of lightning occurrence. This represents the impact value of lightning intensity. This represents the CPU status assessment value of the communication device. This represents the memory status assessment value of the communication device, where α and β are both weight ratios, and α+β=1; It should be noted that the values of α and β are set by relevant personnel in this field, and the methods for determining these values include, but are not limited to, expert consultation.
[0038] Please see Figure 6 As a preferred embodiment of the present invention, the method for generating the dynamic diagnostic value of signal transmission quality specifically includes the following steps: S41: Obtain the diagnostic threshold for determining whether the signal transmission status of the distribution network communication system is a low-quality transmission status, and mark it as the initial diagnostic threshold. It should be explained that the diagnostic threshold (i.e., the initial diagnostic threshold) for determining whether the signal transmission status of the distribution network communication system is in a low-quality transmission state is the same value as the signal transmission quality scoring coefficient threshold, which is the initial set value. S42: Based on the initial diagnostic threshold and the correction coefficients for non-faulty interference factors, establish a dynamic adjustment model to generate dynamic diagnostic values for signal transmission quality.
[0039] In a preferred embodiment of the present invention, the expression of the dynamic adjustment model is specifically as follows: ; In the expression, This represents a dynamic diagnostic value for signal transmission quality. This represents the initial diagnostic threshold. This represents the correction coefficient for non-fault-related interference factors.
[0040] Please see Figure 7 As a preferred embodiment of the present invention, the method for determining whether a faulty interference factor has occurred in the distribution network communication system is as follows: Compare the signal transmission quality rating coefficient with the dynamic diagnostic value of signal transmission quality; If the signal transmission quality score coefficient is less than or equal to the dynamic diagnostic value of signal transmission quality, it is determined that there are no fault interference factors in the distribution network communication system. In this case, the smaller the signal transmission quality score coefficient, the lower the risk of fault interference factors in the distribution network communication system. If the signal transmission quality score coefficient is greater than the dynamic diagnostic value of the signal transmission quality, it is determined that there is a fault interference factor in the distribution network communication system. At this time, the larger the signal transmission quality score coefficient, the greater the risk of a fault interference factor in the distribution network communication system. When it is determined that there are no fault-causing interference factors in the distribution network communication system, only routine maintenance of the communication equipment is required. When it is determined that there is a fault-related interference factor in the distribution network communication system, maintenance personnel can be arranged to repair the communication equipment.
[0041] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A method for diagnosing communication faults in a distribution network, characterized in that, Includes the following steps: Acquire signal transmission data from the distribution network communication system and generate signal transmission quality scoring coefficients; the signal transmission data includes signal packet loss rate and signal delay. Based on the signal transmission quality rating coefficient, determine whether the signal transmission status of the distribution network communication system is a low-quality transmission status; If the signal transmission status of the distribution network communication system is a low-quality transmission status, obtain the non-fault interference factor data of the signal transmission of the distribution network communication system, establish a non-fault interference factor analysis model, and generate non-fault interference factor correction coefficients; among which, the non-fault interference factor data includes the environmental status data of the communication link and the load data of the communication equipment; the environmental status data includes the frequency and intensity of lightning occurrence, and the load data includes CPU utilization and memory usage. Based on the correction coefficients for non-faulty interference factors, a dynamic adjustment model is established to generate dynamic diagnostic values for signal transmission quality. Based on the dynamic diagnostic values and signal transmission quality scoring coefficients, it is determined whether there are fault-related interference factors in the distribution network communication system.
2. The method for diagnosing distribution network communication faults according to claim 1, characterized in that, The method for generating the signal transmission quality score coefficient specifically includes the following steps: Set the detection period and obtain the signal packet loss rate and signal delay of the distribution network communication system within the detection period; A signal packet loss score is generated based on the signal packet loss rate of the distribution network communication system within the detection period. The signal packet loss rate of the distribution network communication system during the detection period is used to generate a signal delay score. A signal transmission quality score coefficient is generated based on the signal packet loss score and the signal delay score.
3. The method for diagnosing distribution network communication faults according to claim 2, characterized in that, The specific method for generating the signal packet loss score is as follows: Based on the signal packet loss rate and the signal packet loss rate warning value of the distribution network communication system, a packet loss rate deviation value is generated; whereby the packet loss rate deviation value refers to the difference between the signal packet loss rate and the signal packet loss rate warning value of the distribution network communication system. A signal packet loss score is generated based on the packet loss rate deviation and the signal packet loss rate warning value; the signal packet loss score is the product of the packet loss rate deviation and the signal packet loss rate warning value.
4. The method for diagnosing distribution network communication faults according to claim 2, characterized in that, The specific method for generating the signal delay score is as follows: Based on the signal delay and signal delay warning value of the distribution network communication system, a delay deviation value is generated; whereby the delay deviation value refers to the difference between the signal delay of the distribution network communication system and the signal delay warning value. A signal delay score is generated based on the delay deviation value and the signal delay warning value; the signal delay score is the product of the delay deviation value and the signal delay warning value.
5. The method for diagnosing distribution network communication faults according to claim 1, characterized in that, The method for generating the correction coefficient for non-faulty interference factors specifically includes the following steps: Obtain the frequency and intensity of lightning strikes, as well as the CPU utilization and memory usage of communication equipment, during signal transmission in the distribution network communication system. Based on the frequency of lightning occurrence in the communication link during signal transmission in the distribution network communication system, generate the impact value of lightning occurrence frequency; Based on the lightning intensity of the communication link during signal transmission in the distribution network communication system, generate the lightning intensity impact value; Generate a CPU status assessment value for the communication equipment based on its CPU utilization. Generate a memory status assessment value for the communication device based on its memory usage rate; Based on the impact values of lightning occurrence frequency, lightning intensity, CPU status assessment value of communication equipment, and memory status assessment value of communication equipment, an analysis model for non-fault interference factors is established, and correction coefficients for non-fault interference factors are generated.
6. The method for diagnosing distribution network communication faults according to claim 5, characterized in that, The specific method for generating the lightning occurrence frequency impact value is as follows: The frequency of lightning occurrence in the communication link during signal transmission in the distribution network communication system is corrected based on the lightning intensity. Unaffected lightning occurrences are removed from the frequency of lightning occurrence in the communication link during signal transmission, resulting in a corrected value for the lightning occurrence frequency. The preprocessing method involves data filtering. A lightning frequency overflow value is generated based on the lightning frequency correction value and the lightning frequency warning value; whereby the lightning frequency overflow value refers to the difference between the lightning frequency correction value and the lightning frequency warning value. Based on the lightning occurrence frequency overflow value and the lightning occurrence frequency warning value, a lightning occurrence frequency impact value is generated; whereby the lightning occurrence frequency impact value refers to the ratio between the lightning occurrence frequency overflow value and the lightning occurrence frequency warning value. The specific method for generating the lightning intensity influence value is as follows: A lightning intensity overflow value is generated based on the lightning intensity and lightning intensity warning value of the communication link during signal transmission in the distribution network communication system; whereby the lightning intensity overflow value refers to the difference between the lightning intensity and the lightning intensity warning value of the communication link during signal transmission in the distribution network communication system. A lightning intensity impact value is generated based on the lightning intensity overflow value and the lightning intensity warning value; whereby the lightning intensity impact value refers to the ratio between the lightning intensity overflow value and the lightning intensity warning value. The specific method for generating the CPU status evaluation value of the communication device is as follows: A CPU utilization overflow value is generated based on the CPU utilization rate and CPU utilization warning value of the communication equipment; where the CPU utilization overflow value refers to the difference between the CPU utilization rate and the CPU utilization warning value of the communication equipment. A CPU status assessment value for the communication device is generated based on the CPU utilization overflow value and the CPU utilization warning value; wherein, the CPU status assessment value of the communication device refers to the ratio between the CPU utilization overflow value and the CPU utilization warning value. The specific method for generating the memory status evaluation value of the communication device is as follows: A memory usage overflow value is generated based on the memory usage rate and memory usage warning value of the communication device; the memory usage overflow value refers to the difference between the memory usage rate and the memory usage warning value of the communication device. A CPU status assessment value for the communication device is generated based on the memory usage overflow value and the memory usage warning value; the CPU status assessment value for the communication device refers to the ratio between the memory usage overflow value and the memory usage warning value.
7. The method for diagnosing distribution network communication faults according to claim 6, characterized in that, The specific methods for generating the lightning occurrence frequency correction value include: Compare the lightning intensity in the frequency of lightning occurrence with the lightning intensity warning value to determine whether the lightning that occurs is an influential lightning; If the lightning intensity in the frequency of lightning occurrence is greater than or equal to the lightning intensity warning value, then the lightning that occurs is determined to be an influential lightning. The frequency of occurrence of influential lightning strikes is obtained, and a lightning occurrence frequency correction value is generated. The lightning occurrence frequency correction value refers to the ratio between the frequency of occurrence of influential lightning strikes and the duration of the detection period.
8. The method for diagnosing distribution network communication faults according to claim 5, characterized in that, The specific expression of the non-fault-related interference factor analysis model is as follows: ； In the expression, This represents the correction coefficient for non-fault-related interference factors. This represents the impact value of the frequency of lightning occurrence. This represents the impact value of lightning intensity. This represents the CPU status assessment value of the communication device. This represents the memory status assessment value of the communication device, where α and β are both weight ratios, and α+β=1.
9. A method for diagnosing communication faults in a distribution network according to claim 1, characterized in that, The method for generating the dynamic diagnostic values for signal transmission quality specifically includes the following steps: Obtain the diagnostic threshold for determining whether the signal transmission status of the distribution network communication system is in a low-quality transmission state, and mark it as the initial diagnostic threshold; Based on the initial diagnostic threshold and the correction coefficients for non-faulty interference factors, a dynamic adjustment model is established to generate dynamic diagnostic values for signal transmission quality.
10. A method for diagnosing communication faults in a distribution network according to claim 1, characterized in that, The specific expression for the dynamic adjustment model is as follows: ； In the expression, This represents a dynamic diagnostic value for signal transmission quality. This represents the initial diagnostic threshold. This represents the correction coefficient for non-fault-related interference factors.