Power distribution station communication fault automatic monitoring system and method

Abstract

The invention relates to the technical field of power system communication monitoring, in particular to a power distribution station communication fault automatic monitoring system and method. The method comprises the following steps: dividing a plurality of communication fault monitoring areas, and setting a plurality of communication fault monitoring points; collecting data of a plurality of communication fault monitoring points, performing fault feature extraction, and identifying fault information of a current communication fault monitoring area; integrating the fault information of the plurality of communication fault monitoring areas, performing fault early warning, and outputting early warning data; the system comprises a monitoring point division module, a region fault information identification module and a fault integration early warning module. A power distribution station is divided into a plurality of communication fault monitoring areas, communication fault monitoring points are deployed, communication fault information identification is carried out on a single communication fault monitoring area, fault information of the plurality of communication fault monitoring areas is integrated, and fault early warning is carried out, so that the communication faults of the power distribution station are monitored. And the operation safety performance of the power system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system communication monitoring, and in particular to a system and method for automatically monitoring communication failures in a power distribution station. Background Art

[0002] As a vital component of the power system, the stable operation of distribution station communication equipment is crucial for automated monitoring and dispatching. However, due to the long-term operation of distribution station communication equipment in complex environments, communication failures such as data transmission interruptions and abnormal baud rates are prone to occur. This prevents the monitoring system from timely obtaining the operating status of the distribution station, thus affecting the safe and stable operation of the power system.

[0003] Currently, communication failures at distribution stations are primarily handled through manual inspections and remote monitoring, which can lead to slow response times and low efficiency. Manual inspections are particularly difficult and costly in remote areas or under adverse weather conditions, and they often fail to detect and address communication failures in a timely manner.

[0004] Therefore, it is very necessary to propose an automatic monitoring system and method for distribution station communication failures that can monitor distribution station communication failures and thus improve the safety performance of power system operation. Summary of the Invention

[0005] The purpose of the present invention is to provide a system and method for automatically monitoring communication failures in distribution stations, aiming to achieve the effect of monitoring communication failures in distribution stations and thereby improving the operational safety performance of the power system.

[0006] To achieve the above object, the present invention adopts a method for automatically monitoring communication failures in a distribution station, comprising the following steps:

[0007] Divide the distribution station into multiple communication fault monitoring areas, and set up multiple communication fault monitoring points in each area;

[0008] Taking the communication fault monitoring area as a unit, collect data from multiple communication fault monitoring points, extract fault features, and identify fault information in the current communication fault monitoring area;

[0009] Integrate fault information from multiple communication fault monitoring areas, perform fault warnings, and output warning data.

[0010] Wherein, in the step of dividing the distribution station into a plurality of communication fault monitoring areas and setting up a plurality of communication fault monitoring points in each area:

[0011] Divide the distribution station into multiple communication fault monitoring areas based on the physical layout of the distribution station, the distribution of communication equipment, and the communication network architecture;

[0012] In each monitoring area, multiple communication fault monitoring points are set up according to the distribution of communication equipment, and corresponding communication monitoring equipment is deployed at each monitoring point.

[0013] Wherein, in each monitoring area, multiple communication fault monitoring points are set up according to the distribution of communication equipment, and corresponding communication monitoring equipment is deployed at each monitoring point after the steps:

[0014] Assign a unique identifier to each monitoring point.

[0015] Wherein, in the step of assigning a unique identifier to each monitoring point:

[0016] Establishing rules for assigning identifiers;

[0017] Assign identifiers to monitoring points according to the identifier assignment rules.

[0018] After the step of assigning identifiers to monitoring points according to the identifier assignment rule:

[0019] The assigned identifier is recorded and associated with the monitoring point information.

[0020] Among them, in the step of collecting data of multiple communication fault monitoring points based on the communication fault monitoring area, extracting fault features, and identifying fault information of the current communication fault monitoring area:

[0021] Establish a data collection cycle, taking the communication fault monitoring area as the unit, and collect the operation data of the communication equipment in real time through the communication monitoring equipment deployed at the monitoring point;

[0022] After pre-processing the operating data, fault characteristic parameters are extracted and characteristic data is output;

[0023] The characteristic parameters are classified and identified, and the fault type and severity of the current communication fault monitoring area are output.

[0024] Among them, in the step of classifying and identifying characteristic parameters and outputting the fault type and severity of the current communication fault monitoring area:

[0025] The extracted feature parameters are standardized and then classified and identified.

[0026] Evaluate the severity of the fault based on the classification results and characteristic parameters.

[0027] Among them, in the step of integrating the fault information of multiple communication fault monitoring areas, performing fault warning, and outputting warning data:

[0028] Integrate the fault information of each communication fault monitoring area to form a global fault view;

[0029] According to the integrated fault information, the fault warning mechanism is triggered.

[0030] After integrating the fault information of each communication fault monitoring area to form a global fault view:

[0031] Obtain fault correlation between different areas.

[0032] The present invention also provides an automatic monitoring system for communication failures in distribution stations, comprising a monitoring point division module, a regional fault information identification module, and a fault integration and early warning module; wherein:

[0033] The monitoring point division module is used to divide the power distribution station into multiple communication fault monitoring areas and set up multiple communication fault monitoring points in each area;

[0034] The regional fault information identification module is used to collect data from multiple communication fault monitoring points based on the communication fault monitoring area, extract fault features, and identify fault information in the current communication fault monitoring area;

[0035] The fault integration and early warning module is used to integrate fault information of multiple communication fault monitoring areas, perform fault early warning, and output early warning data.

[0036] The present invention provides an automatic monitoring system and method for communication failures in a distribution station. The system adopts the monitoring point division module, the regional fault information identification module, and the fault integration and early warning module to perform the following steps: dividing the distribution station into multiple communication failure monitoring areas, and establishing multiple communication failure monitoring points in each area; collecting data from multiple communication failure monitoring points based on the communication failure monitoring area, extracting fault features, and identifying fault information in the current communication failure monitoring area; integrating the fault information of multiple communication failure monitoring areas, performing fault early warning, and outputting early warning data; dividing the distribution station into multiple communication failure monitoring areas and deploying communication failure monitoring points, identifying communication failure information for a single communication failure monitoring area, and then integrating the fault information of multiple communication failure monitoring areas to perform fault early warning, thereby achieving the effect of monitoring communication failures in the distribution station and improving the operational safety performance of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1It is a flow chart of the steps of the automatic monitoring method for communication failure of distribution station of the present invention.

[0039] Figure 2 It is a step flow chart of S100 of the present invention.

[0040] Figure 3 It is a step flow chart of S200 of the present invention.

[0041] Figure 4 It is a step flow chart of S300 of the present invention.

[0042] Figure 5 It is a structural principle diagram of the automatic monitoring system for communication failures in a distribution station of the present invention.

[0043] Figure 6 It is a structural principle diagram of the electronic device of the present invention.

[0044] 401-Monitoring point division module, 402-Regional fault information identification module, 403-Fault integration warning module. DETAILED DESCRIPTION

[0045] Exemplary embodiments are described in detail herein, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numerals in different drawings represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with this application.

[0046] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0047] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0048] See also Figures 1 to 4 The present invention provides a method for automatically monitoring communication failures in a power distribution station, comprising the following steps:

[0049] S100: Divide the distribution station into multiple communication fault monitoring areas, and set up multiple communication fault monitoring points in each area.

[0050] In this embodiment, the distribution station is divided into multiple communication fault monitoring areas, and multiple communication fault monitoring points are set up in each area. The specific process is as follows:

[0051] S101: Divide the distribution station into multiple communication fault monitoring areas based on the physical layout of the distribution station, the distribution of communication equipment, and the communication network architecture;

[0052] S102: In each monitoring area, multiple communication fault monitoring points are established based on the distribution of communication equipment, and corresponding communication monitoring equipment is deployed at each monitoring point;

[0053] S103: Assign a unique identifier to each monitoring point.

[0054] The above process begins with a comprehensive on-site survey of the distribution station to understand its physical layout, including the building structure and equipment placement. A communications equipment distribution analysis is then conducted: detailed records are kept of the distribution of various communications equipment within the distribution station, including fiber-optic communications equipment, wireless communications equipment, and power distribution terminals. The communications network architecture is then analyzed, encompassing the backbone network, access network, and other aspects, clarifying the connections and data flows between various network layers.

[0055] Based on the physical layout, communication equipment distribution, and communication network architecture, the distribution substation is divided into multiple communication fault monitoring areas. The division principle should ensure that the communication equipment in each area has similar operating environments and fault characteristics, which facilitates subsequent monitoring and management.

[0056] For example: If a distribution station includes four main parts: main control room, fiber optic communication room, wireless communication room and distribution terminal area, the distribution station can be divided into four communication fault monitoring areas according to these parts: main control room monitoring area, fiber optic communication room monitoring area, wireless communication room monitoring area and distribution terminal area monitoring area.

[0057] Within each monitoring area, multiple communication fault monitoring points are established based on the distribution of communication equipment, and appropriate communication monitoring equipment is deployed at each monitoring point. The specific process is as follows: Within each monitoring area, communication fault monitoring points are selected at appropriate locations based on the distribution of communication equipment. These monitoring points should cover the main communication equipment and links within the area. Appropriate communication monitoring equipment, such as optical power monitors, signal strength monitors, and bit error rate testers, is deployed at each monitoring point. Appropriate monitoring equipment and technical means are selected based on actual needs.

[0058] Perform necessary configuration and calibration on deployed communication monitoring equipment to ensure the accuracy and reliability of monitoring data.

[0059] For example, within the monitoring area of ​​a fiber-optic communication room, two monitoring points can be set up, one at the entrance and one at the exit of the fiber-optic equipment. Optical power monitoring equipment can be deployed at each monitoring point to monitor the optical power level in fiber-optic communications. When configuring the equipment, you can set an optical power threshold range. When the monitored optical power exceeds this range, an alarm mechanism is triggered.

[0060] Design a unified set of identifier rules to uniquely identify each monitoring point. The identifier can include information such as the area number and the monitoring point sequence number.

[0061] According to the identifier rules, each monitoring point is assigned a unique identifier, ensuring the uniqueness of the identifier across the entire distribution station.

[0062] Identifier recording and management: The assigned identifiers are recorded in the database and associated with relevant information of the monitoring points, such as location, deployed equipment, etc. An identifier management system is established to ensure the correct use and management of identifiers.

[0063] For example, if the monitoring area of ​​the fiber optic communication room is numbered "01" and the first monitoring point in the area is numbered "01-01", the unique identifier of the monitoring point is "01-01". Similarly, corresponding unique identifiers can be assigned to other monitoring points.

[0064] Through the above process, the distribution station can be divided into multiple communication fault monitoring areas, and multiple communication fault monitoring points are set up in each area. Each monitoring point is deployed with corresponding communication monitoring equipment and assigned a unique identifier, which provides a basis for subsequent communication fault monitoring and management.

[0065] S200: Taking the communication fault monitoring area as a unit, collecting data from multiple communication fault monitoring points, extracting fault features, and identifying fault information in the current communication fault monitoring area.

[0066] In this embodiment, the data of multiple communication fault monitoring points are collected in the communication fault monitoring area, and fault features are extracted to identify the fault information of the current communication fault monitoring area. The specific process is as follows:

[0067] S201: Establish a data collection cycle, using the communication fault monitoring area as a unit, and collect the operation data of the communication equipment in real time through the communication monitoring equipment deployed at the monitoring point;

[0068] S202: After pre-processing the operating data, extract fault characteristic parameters and output characteristic data;

[0069] S203: Classify and identify the characteristic parameters, and output the fault type and severity of the current communication fault monitoring area.

[0070] In the above process, a reasonable data collection cycle is set based on the characteristics of the communication equipment and the frequency of faults. For example, for critical communication equipment, data can be collected every minute; for non-critical equipment, data can be collected every 5 minutes or more.

[0071] Key communication equipment includes:

[0072] Fiber-optic communication equipment: such as optical line terminals (OLTs) and optical network units (ONUs). These devices are the core of fiber-optic communication networks and are responsible for high-speed, large-capacity data transmission.

[0073] SDH / MSTP equipment: Synchronous Digital Hierarchy (SDH) or Multi-Service Transport Platform (MSTP) equipment, used to build backbone transmission networks and ensure reliable data transmission.

[0074] Industrial Ethernet switches: In power distribution automation systems, industrial Ethernet switches are used to build access layer networks and enable data exchange between power distribution terminals and backbone networks.

[0075] EPON equipment: Ethernet Passive Optical Network (EPON) equipment, including OLT and ONU, is used to build a fiber optic access network and provide high-speed and stable communication channels for power distribution terminals.

[0076] Microwave communication equipment: In areas where fiber-optic communication is difficult to cover, microwave communication equipment serves as an auxiliary communication means to ensure continuous data transmission.

[0077] Satellite communication equipment: In remote areas or special environments, satellite communication equipment provides reliable communication support, ensuring data exchange between distribution stations and superior dispatching centers.

[0078] Non-critical communication equipment

[0079] Assistive communication devices include:

[0080] Wireless communication modules: such as 4G / 5G public network modules and Wi-Fi modules. These devices are usually used to provide backup communication channels or meet communication needs in specific scenarios, and have relatively little impact on power grid operations.

[0081] Carrier communication equipment: Power line carrier communication (PLC) equipment is used for data transmission in certain specific scenarios. However, compared with fiber optic communication, its transmission rate and stability are lower, and it is usually used as an auxiliary communication means.

[0082] Environmental monitoring sensors: such as temperature sensors and humidity sensors, are used to monitor environmental parameters within distribution stations. They have no direct impact on grid operation but help improve operation and maintenance efficiency.

[0083] Condition monitoring terminal: used to monitor the operating status of power distribution equipment, such as switch status, current and voltage values. Although it plays an important role in equipment maintenance, it is usually not directly involved in the construction of communication networks and data transmission.

[0084] Ordinary Ethernet switches: In the internal network of a distribution station, they are used to connect non-critical equipment or build local networks, with little impact on the overall communication network.

[0085] Network storage device: used to store the operating data and historical records of the distribution station. Although it plays an important role in data management and analysis, it does not directly participate in the communication process.

[0086] When setting the data collection cycle, consider the characteristics of the equipment and the frequency of faults. For critical communications equipment, due to its high importance and the significant impact of faults, a shorter data collection cycle should be set to promptly identify and address potential issues. For non-critical communications equipment, the data collection cycle can be appropriately extended to reduce system resource consumption.

[0087] Within each communication fault monitoring area, communication monitoring equipment deployed at monitoring points collects real-time operational data from communication equipment according to a set collection cycle. The collected data should include, but is not limited to, key indicators such as signal strength, optical power, bit error rate, network topology changes, and equipment status.

[0088] For example, if there is a fiber optic communication device in a communication fault monitoring area and the data collection cycle is set to once per minute, then every minute, the optical power monitoring device deployed at the device will collect the optical power value once, and the signal strength monitor will collect the signal strength value once, and these data will be transmitted to the data processing center in real time.

[0089] The operation data is preprocessed. The preprocessing process is as follows: the collected original operation data is cleaned to remove noise data and outliers; the data format is converted and standardized to ensure data consistency and comparability; missing data is filled or interpolated to ensure data integrity.

[0090] Using signal processing technology and statistical methods, key parameters that reflect communication fault characteristics can be extracted from preprocessed data. For example, statistical features such as the mean, variance, maximum, and minimum values ​​of signal strength can be extracted; dynamic features such as the attenuation rate and fluctuation range of optical power can be extracted; and abnormal features such as the growth rate of bit error rate and the number of bursts can be extracted.

[0091] The extracted fault characteristic parameters are output in the form of structured data to facilitate subsequent analysis and processing.

[0092] The following method is used to calculate the mean signal strength:

[0093]

[0094] Among them, S i is the signal strength value collected for the i-th time, and N is the number of collections.

[0095] The following method is used to calculate the optical power attenuation rate:

[0096]

[0097] Among them, P initial is the initial optical power value, P current is the current optical power value.

[0098] Classify and identify the characteristic parameters and output the fault type and severity of the current communication fault monitoring area; the specific process is as follows:

[0099] First, the extracted feature parameters need to be standardized to eliminate the dimensional differences between different feature parameters and ensure that the classification algorithm can treat each feature fairly.

[0100] The standardization process usually uses the Z-score standardization method to convert each feature parameter into the form of its mean and standard deviation; the formula is:

[0101]

[0102] Where X is the original feature parameter value, μ is the mean of the feature parameter, and σ is the standard deviation of the feature parameter.

[0103] Through Z-score standardization, characteristic parameters of different dimensions can be converted into a standard normal distribution with a mean of 0 and a standard deviation of 1.

[0104] Select an appropriate classification algorithm based on the nature of the characteristic parameters and the complexity of the fault type. Common classification algorithms include support vector machines (SVM), neural networks (NN), decision trees (DT), random forests (RF), etc. For example, if a support vector machine is used: For a linearly separable binary classification problem, the classification decision function of the support vector machine can be expressed as:

[0105]

[0106] Among them, x is the feature parameter vector to be classified, x i is the feature parameter vector in the training set, y iis the corresponding label (1 or -1), a i is the Lagrange multiplier, K(x i ,x) is the kernel function, and b is the bias term. In practical applications, it may be necessary to select and tune the algorithm based on the characteristics of the data and the classification effect.

[0107] The selected classification algorithm is trained using historical fault data. During training, the algorithm learns the characteristic parameter patterns corresponding to different fault types. During training, the dataset is typically divided into a training set and a validation set to evaluate the model's classification performance and avoid overfitting.

[0108] The feature parameters collected in real time, preprocessed, and extracted are input into a trained classification model for classification and identification. The classification model outputs the probability or score of each sample belonging to different fault types, and the fault type of the sample is determined based on the maximum probability or score.

[0109] Evaluate the severity of the fault based on the classification results and the numerical size and change trend of the characteristic parameters.

[0110] Different thresholds or rules can be set to determine the severity of the fault based on the degree to which the characteristic parameters exceed the range or the rate of change.

[0111] The determined fault type and severity are output in the form of structured data or text, making it easier for operation and maintenance personnel to understand and handle the fault in a timely manner.

[0112] The fault severity assessment based on threshold judgment is as follows:

[0113] Assume that for a certain characteristic parameter (such as signal strength attenuation rate), the following threshold is set to determine the severity of the fault:

[0114] Minor fault: signal strength attenuation rate <10%

[0115] Moderate fault: 10% ≤ signal strength attenuation rate < 30%

[0116] Serious fault: Signal strength attenuation rate ≥ 30%

[0117] When the attenuation rate of the signal strength collected in real time exceeds a certain threshold, it can be determined as a fault of corresponding severity.

[0118] The fault type and severity determined are output in the form of structured data or text, so that operation and maintenance personnel can understand and handle the fault in a timely manner. For example:

[0119] If the classification model determines that the fault type in the current communication fault monitoring area is "fiber break," and the fault severity is assessed as "serious" based on characteristic parameters such as the optical power attenuation rate, the fault information output will be: "fiber break, serious fault."

[0120] S300: Integrate fault information from multiple communication fault monitoring areas, perform fault warning, and output warning data.

[0121] In this embodiment, the fault information of multiple communication fault monitoring areas is integrated to perform fault warning and output warning data. The specific process is as follows:

[0122] S301: Integrate the fault information of each communication fault monitoring area to form a global fault view;

[0123] S302: Obtaining fault correlation between different areas;

[0124] S303: Triggering a fault warning mechanism based on the integrated fault information.

[0125] In the above process, fault information is collected from each communication fault monitoring area, including the fault type (F t ), occurrence time (T), faulty equipment (D), severity (S), etc.

[0126] The collected fault information is standardized, for example, the fault type is encoded as a number (such as 0 for normal, 1 for signal loss, 2 for data error, etc.), the time is converted into a unified timestamp format, and the severity is encoded by level (such as level 1 for mild, level 2 for moderate, level 3 for severe, etc.).

[0127] Build a global database, and the table structure can be designed as: {Region, Fault_ID, F_t, T, D, S}, where Region represents the monitoring area and Fault_ID is the unique identifier of the fault.

[0128] The fault information of each area is entered into the global database according to unified standards and formats.

[0129] Use data visualization tools such as Tableau and Power BI to display fault information in the global database in the form of charts, maps, etc. For example, use a map to show the distribution of faults in different regions, and use a bar chart or line chart to show the time trend and type distribution of faults.

[0130] To obtain fault correlation between different areas:

[0131] Use time series analysis methods, such as the autocorrelation function (ACF) or cross-correlation function (CCF), to analyze the correlation between the occurrence times of faults in different regions. For example, calculate the CCF value of the fault occurrence time of region A and region B. If the CCF value is significantly different from zero at a certain lag time point, it indicates that there is a temporal correlation between the faults in the two regions. Use the following formula:

[0132]

[0133] Among them, x t and y are the number of faults (or severity) in region A and region B at time t, respectively. N is the length of the time series data, i.e., the number of observed time points. and are the mean number of fault occurrences in the two areas respectively.

[0134] Construct an association network. Based on the results of the fault correlation analysis, a fault association network diagram between different regions is constructed. The nodes represent regions, and the edges represent the association strength of faults between regions (such as the absolute value or significance level of the CCF value).

[0135] A correlation threshold is set. If the CCF value is greater than 0.5 and the p value is less than 0.05, it is considered that there is a significant correlation between the faults in the two areas.

[0136] The number of region pairs that meet the correlation threshold is counted to evaluate the complexity of global fault correlation.

[0137] According to the integrated fault information, the fault warning mechanism is triggered; the warning rules are set as follows:

[0138] Set fault warning rules. If the same type of fault occurs simultaneously in multiple areas (such as more than 3) within the same time period (such as within 1 hour), a warning will be triggered.

[0139] Alternatively, based on the fault correlation network, if a fault in a certain area propagates to other key areas through the correlation network, an early warning will also be triggered.

[0140] The fault information in the global database is monitored in real time, and the fault data in the recent period is checked using sliding window technology.

[0141] When the warning rules are met, the fault warning mechanism is triggered immediately.

[0142] Warning information output: The fault information that triggers the warning will be output in the form of structured data or text, including the warning type (such as "multi-area same type fault warning"), warning time, warning area list, and warning suggestions (such as "immediately check the communication equipment in the relevant area").

[0143] Through the above steps, it is possible to integrate fault information from multiple communication fault monitoring areas, obtain fault correlation, and trigger the fault warning mechanism, providing timely and accurate fault warning information to operation and maintenance personnel.

[0144] Corresponding to the aforementioned embodiment of the method for automatically monitoring communication failures in a power distribution station, the present application also provides an embodiment of a system for automatically monitoring communication failures in a power distribution station.

[0145] Figure 5 FIG. 1 is a block diagram of an automatic monitoring system for communication failures in a power distribution station according to an exemplary embodiment. Figure 5 The system may include: a monitoring point division module 401, a regional fault information identification module 402, and a fault integration warning module 403; wherein:

[0146] The monitoring point division module 401 is used to divide the power distribution station into multiple communication fault monitoring areas and set up multiple communication fault monitoring points in each area;

[0147] The regional fault information identification module 402 is used to collect data from multiple communication fault monitoring points based on the communication fault monitoring area, extract fault features, and identify fault information in the current communication fault monitoring area;

[0148] The fault integration and warning module 403 is used to integrate fault information of multiple communication fault monitoring areas, perform fault warning, and output warning data.

[0149] In this embodiment, the monitoring point division module 401 divides the distribution station into multiple communication fault monitoring areas and establishes multiple communication fault monitoring points in each area; the regional fault information identification module 402 collects data from multiple communication fault monitoring points based on the communication fault monitoring area, extracts fault features, and identifies the fault information of the current communication fault monitoring area; the fault integration and early warning module 403 integrates the fault information of multiple communication fault monitoring areas, performs fault early warning, and outputs early warning data; by dividing the distribution station into multiple communication fault monitoring areas and deploying communication fault monitoring points, identifying communication fault information for a single communication fault monitoring area, and then integrating the fault information of multiple communication fault monitoring areas to perform fault early warning, the communication fault of the distribution station is monitored, thereby improving the safety performance of the power system operation.

[0150] Regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0151] For the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0152] Accordingly, the present application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned method for automatically monitoring communication failures in power distribution stations. Figure 6 As shown in the figure, it is a hardware structure diagram of any device with data processing capability in a distribution station communication fault automatic monitoring system provided by an embodiment of the present invention, except Figure 6 In addition to the processor, memory, and network interface shown, any device with data processing capabilities in which the apparatus in the embodiment is located may also include other hardware, generally based on the actual functions of the device with data processing capabilities, which will not be described in detail.

[0153] Accordingly, the present application also provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the above-mentioned method for automatically monitoring communication failures in a distribution station. The computer-readable storage medium may be an internal storage unit of any device with data processing capabilities described in any of the aforementioned embodiments, such as a hard disk or memory. The computer-readable storage medium may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), an SD card, a flash card (Flash Card), etc. equipped on the device. Furthermore, the computer-readable storage medium may also include both an internal storage unit and an external storage device of any device with data processing capabilities. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and may also be used to temporarily store data that has been output or is to be output.

[0154] Those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the contents disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art that are not disclosed in this application.

[0155] It will be understood that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. A method for automatically monitoring communication failures in a distribution station, characterized in that: The steps include: Divide the distribution station into multiple communication fault monitoring areas, and set up multiple communication fault monitoring points in each area; Taking the communication fault monitoring area as a unit, collect data from multiple communication fault monitoring points, extract fault features, and identify fault information in the current communication fault monitoring area; Integrate fault information from multiple communication fault monitoring areas, perform fault warnings, and output warning data.

2. The method for automatically monitoring communication failures in a power distribution station according to claim 1, wherein: In the steps of dividing a distribution station into multiple communication fault monitoring areas and establishing multiple communication fault monitoring points in each area: Divide the distribution station into multiple communication fault monitoring areas based on the physical layout of the distribution station, the distribution of communication equipment, and the communication network architecture; In each monitoring area, multiple communication fault monitoring points are set up according to the distribution of communication equipment, and corresponding communication monitoring equipment is deployed at each monitoring point.

3. The automatic monitoring method for communication failure of a power distribution station according to claim 2, characterized in that: In each monitoring area, multiple communication fault monitoring points are set up according to the distribution of communication equipment, and corresponding communication monitoring equipment is deployed at each monitoring point. Assign a unique identifier to each monitoring point.

4. The method for automatically monitoring communication failures in a power distribution station according to claim 3, wherein: In the step of assigning a unique identifier to each monitoring point: Establishing rules for assigning identifiers; Assign identifiers to monitoring points according to the identifier assignment rules.

5. The method for automatically monitoring communication failures in a power distribution station according to claim 1, wherein: After the steps of assigning identifiers to monitoring points according to the identifier assignment rules: The assigned identifier is recorded and associated with the monitoring point information.

6. The method for automatically monitoring communication failures in a power distribution station according to claim 1, wherein: In the step of collecting data from multiple communication fault monitoring points based on the communication fault monitoring area, extracting fault features, and identifying fault information in the current communication fault monitoring area: Establish a data collection cycle, taking the communication fault monitoring area as the unit, and collect the operation data of the communication equipment in real time through the communication monitoring equipment deployed at the monitoring point; After pre-processing the operating data, fault characteristic parameters are extracted and characteristic data is output; The characteristic parameters are classified and identified, and the fault type and severity of the current communication fault monitoring area are output.

7. The method for automatically monitoring communication failures in a power distribution station according to claim 6, wherein: In the step of classifying and identifying characteristic parameters and outputting the fault type and severity of the current communication fault monitoring area: The extracted feature parameters are standardized and then classified and identified. Evaluate the severity of the fault based on the classification results and characteristic parameters.

8. The method for automatically monitoring communication failures in a power distribution station according to claim 1, wherein: In the steps of integrating fault information from multiple communication fault monitoring areas, performing fault warnings, and outputting warning data: Integrate the fault information of each communication fault monitoring area to form a global fault view; According to the integrated fault information, the fault warning mechanism is triggered.

9. The method for automatically monitoring communication failures in a power distribution station according to claim 8, wherein: After integrating the fault information of each communication fault monitoring area to form a global fault view: Obtain fault correlation between different areas.

10. A distribution station communication fault automatic monitoring system, applied to the distribution station communication fault automatic monitoring method according to claim 1, characterized in that: It includes monitoring point division module, regional fault information identification module, and fault integration warning module; among which: The monitoring point division module is used to divide the power distribution station into multiple communication fault monitoring areas and set up multiple communication fault monitoring points in each area; The regional fault information identification module is used to collect data from multiple communication fault monitoring points based on the communication fault monitoring area, extract fault features, and identify fault information in the current communication fault monitoring area; The fault integration and early warning module is used to integrate fault information of multiple communication fault monitoring areas, perform fault early warning, and output early warning data.

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