Power grid monitoring information processing method and system

Abstract

The invention discloses a power grid monitoring information processing method and system, and relates to the technical field of monitoring signal analysis, and the method comprises the steps: obtaining the power grid monitoring information of a monitoring signal, carrying out the signal classification according to the power grid monitoring information, and obtaining a signal type corresponding to the monitoring signal; the method comprises the following steps: searching a preset influence range list by adopting a signal associated equipment number in power grid monitoring information, matching a corresponding influence range coefficient, carrying out risk assessment on a signal type according to the influence range coefficient to obtain a corresponding risk level, and carrying out grading treatment on the monitoring signal according to the risk level. The technical problems that the monitoring signals are issued blindly and the reliability of power grid operation is reduced due to the fact that existing monitoring signal processing mainly carries out triggering notification on the monitoring signals on the basis of a preset fault library but the power grid monitoring information of the monitoring signals is lack of deep analysis and scene judgment are solved.

Description

Technical Field

[0001] This invention relates to the field of monitoring signal analysis technology, and in particular to a method and system for processing power grid monitoring information. Background Technology

[0002] As power systems rapidly evolve towards intelligence and large-scale operation, the power grid structure is becoming increasingly complex, encompassing multiple components such as primary equipment, secondary equipment, and communication systems. The number of monitoring and management systems, including substations, dispatch centers, and operation and maintenance platforms, is constantly increasing, resulting in an explosive growth in monitoring signals. These signals include both benign signals from routine scenarios such as equipment normal operation switching, switching operations, and maintenance work, and alarm signals requiring emergency handling, such as equipment fault tripping, communication interruptions, and abnormal changes. Currently, power grid operation relies on the collaborative work of multiple platforms, such as intelligent power grid monitoring information platforms, provincial-level power grid management platforms, intelligent remote operation and maintenance control platforms for secondary equipment, substation monitoring backends, and dispatch automation systems. However, these platforms are mostly deployed independently, exhibiting significant data silos and lacking effective cross-platform information integration and intelligent analysis mechanisms. Meanwhile, power grid dispatching and operation and maintenance work have extremely high requirements for the accuracy and timeliness of signal response. Efficient signal classification and handling are directly related to the reliability of power grid supply, the efficiency of emergency response to faults, and the rational allocation of operation and maintenance resources. The traditional model that relies on manual judgment and handling is no longer suitable for the operation needs of large-scale smart grids. It is urgent to build an intelligent signal processing system to cope with the complex challenges of power grid operation and management.

[0003] Currently, existing monitoring signal processing mainly relies on a pre-set fault database to trigger and notify monitoring signals. However, it lacks in-depth analysis and scenario-based judgment of the power grid monitoring information of the monitoring signals, resulting in the blind issuance of monitoring signals. This not only increases the workload of on-duty personnel but may also cause real monitoring signals that require emergency handling to be ignored due to interference from invalid information, thus reducing the reliability of power grid operation. Summary of the Invention

[0004] This invention provides a method and system for processing power grid monitoring information, which solves the technical problem that existing monitoring signal processing mainly relies on a preset fault database to trigger and notify monitoring signals, but lacks in-depth analysis and scenario-based judgment of the power grid monitoring information of the monitoring signals. This leads to the blind issuance of monitoring signals, which not only increases the workload of on-duty personnel, but may also cause the neglect of monitoring signals that truly require emergency handling due to interference from invalid information, thus reducing the reliability of power grid operation.

[0005] The first aspect of this invention provides a method for processing power grid monitoring information, comprising:

[0006] The power grid monitoring information of the monitoring signal is acquired, and the signal is classified according to the power grid monitoring information to obtain the signal type corresponding to the monitoring signal;

[0007] The signal-associated device number in the power grid monitoring information is used to retrieve a preset list of influence ranges and match the corresponding influence range coefficient.

[0008] The risk level of the signal type is obtained by performing a risk assessment based on the influence range coefficient.

[0009] The monitoring signals are classified and handled according to the risk level.

[0010] Optionally, the step of classifying signals based on the power grid monitoring information to obtain the signal type corresponding to the monitoring signal includes:

[0011] When the signal type of the monitored signal is identified as a communication interruption signal or a period switching signal, the signal type corresponding to the monitored signal is determined to be a communication anomaly.

[0012] When the signal type identifier is not a communication interruption signal or a period switching signal, the power grid monitoring information is classified and determined to obtain the signal type corresponding to the monitoring signal.

[0013] Optionally, the power grid monitoring information includes operation order execution status, equipment change identifier, signal associated equipment number, light bar activation status data, and fault monitoring identifier. The step of classifying and determining the signal type of the monitoring signal based on the power grid monitoring information includes:

[0014] Determine whether the operation command execution status and the device change identifier meet the preset operation association conditions;

[0015] When the operation command execution status and the equipment change identifier meet the operation association conditions, the signal type corresponding to the monitoring signal is determined to be an electrical switching operation abnormality.

[0016] When the operation order execution status and the device change identifier do not meet the operation association conditions, the work ticket corresponding to the signal associated device number is obtained, and keywords in the work ticket are extracted according to a preset dictionary.

[0017] When the keyword and the activation status data of the light sign meet the preset maintenance association conditions, the signal type corresponding to the monitoring signal is determined to be a maintenance anomaly.

[0018] When the keyword and the light sign activation status data do not meet the maintenance association conditions, the signal type corresponding to the monitoring signal is determined based on the fault monitoring identifier, the equipment displacement identifier, and the light sign activation status data.

[0019] Optionally, the step of determining the signal type corresponding to the monitoring signal based on the fault monitoring identifier, the equipment displacement identifier, and the light sign activation status data includes:

[0020] When the fault monitoring identifier is a preset first standard value, a list of fault-related devices is obtained;

[0021] Match the device corresponding to the monitoring signal with the fault-related devices in the fault-related device list one by one;

[0022] When the device corresponding to the monitoring signal is compatible with any of the fault-associated devices, it is determined whether the device change identifier and the light sign activation status data meet the preset fault association conditions.

[0023] When the device displacement identifier and the light sign activation status data meet the fault association conditions, the signal type corresponding to the monitoring signal is determined to be a device fault.

[0024] When the device displacement identifier and the light sign activation status data do not meet the fault association conditions, the signal type corresponding to the monitoring signal is determined to be normal operation;

[0025] When the device corresponding to the monitoring signal is not compatible with any of the fault-related devices, the signal type corresponding to the monitoring signal is determined to be normal operation;

[0026] When the fault monitoring identifier is not the first standard value, the signal type corresponding to the monitoring signal is determined to be normal operation.

[0027] Optionally, the step of assessing the risk of the signal type based on the influence range coefficient to obtain the corresponding risk level includes:

[0028] Input the signal type into a preset signal type coefficient list to obtain the corresponding signal type coefficient;

[0029] The signal type coefficient, the influence range coefficient, and the pre-acquired historical priority coefficient are multiplied to obtain the corresponding risk assessment value.

[0030] The risk assessment value is used to retrieve a preset grading list and match the corresponding risk level.

[0031] Optionally, the step of classifying and processing the monitoring signal according to the risk level includes:

[0032] When the risk level is Level 1, the monitoring signal is used for voice alarm.

[0033] When the risk level is level 2, the monitoring signal is used to send an SMS alarm, and the verification status corresponding to the monitoring signal is obtained based on the preset recovery time.

[0034] When the verification status is pending verification, the monitoring signal is used to issue a voice alarm;

[0035] When the risk level is level three, the monitoring signal is sent to a preset backend terminal.

[0036] A second aspect of the present invention provides a power grid monitoring information processing system, comprising:

[0037] The classification module is used to acquire power grid monitoring information of the monitoring signals, classify the signals according to the power grid monitoring information, and obtain the signal type corresponding to the monitoring signals.

[0038] The impact module is used to retrieve a preset impact range list using the signal-associated device number in the power grid monitoring information and match the corresponding impact range coefficient.

[0039] The assessment module is used to perform a risk assessment on the signal type based on the influence range coefficient to obtain the corresponding risk level.

[0040] The processing module is used to classify and process the monitoring signals according to the risk level.

[0041] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the power grid monitoring information processing method described above.

[0042] The fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the power grid monitoring information processing method as described above.

[0043] The fifth aspect of the present invention provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer performs the power grid monitoring information processing method as described above.

[0044] As can be seen from the above technical solutions, the present invention has the following advantages:

[0045] This invention acquires power grid monitoring information from monitoring signals, classifies signals based on this information to determine their corresponding signal types, retrieves a pre-defined list of influence ranges using the signal-associated device numbers in the monitoring information, matches the corresponding influence range coefficients, and performs a risk assessment on the signal type based on these coefficients to obtain the corresponding risk level. The monitoring signals are then handled in a tiered manner according to the risk level. This overcomes the technical problem of existing monitoring signal processing methods, which primarily rely on pre-defined fault databases to trigger notifications but lack in-depth analysis and scenario-based judgment of the power grid monitoring information, leading to indiscriminate signal issuance and reduced reliability of power grid operation. Compared to traditional monitoring signal processing methods, this invention acquires power grid monitoring information from various monitoring and management systems and classifies signals accordingly, achieving precise signal category identification and avoiding indiscriminate alarm issuance. Furthermore, the tiered handling of monitoring signals based on risk level reduces repetitive mechanical work for on-duty personnel and improves the reliability of power grid operation. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart of the steps of a power grid monitoring information processing method provided in Embodiment 1 of the present invention;

[0048] Figure 2 This is a flowchart of the steps of a power grid monitoring information processing method provided in Embodiment 2 of the present invention;

[0049] Figure 3 This is a structural block diagram of a power grid monitoring information processing system provided in Embodiment 3 of the present invention;

[0050] Figure 4 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0051] This invention provides a power grid monitoring information processing method and system to address the technical problem that existing monitoring signal processing mainly relies on a preset fault database to trigger and notify monitoring signals, but lacks in-depth analysis and scenario-based judgment of the power grid monitoring information of the monitoring signals. This leads to the blind issuance of monitoring signals, which not only increases the workload of on-duty personnel, but may also cause the neglect of monitoring signals that truly require emergency handling due to interference from invalid information, thus reducing the reliability of power grid operation.

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. It should be noted that in the optional embodiments of the present invention, the object information and other related data involved require the permission or consent of the object when the embodiments of the present invention are applied to specific products or technologies, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. That is to say, if the embodiments of the present invention involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations, and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information requires the consent of the individual. If sensitive information is involved, the separate consent of the information subject is required, and the embodiments also need to be implemented with the authorization and consent of the object.

[0053] Please see Figure 1 , Figure 1 This is a flowchart of the steps of a power grid monitoring information processing method provided in Embodiment 1 of the present invention.

[0054] This invention provides a method for processing power grid monitoring information, comprising:

[0055] Step 101: Obtain the power grid monitoring information of the monitoring signal, classify the signal according to the power grid monitoring information, and obtain the signal type corresponding to the monitoring signal.

[0056] Power grid monitoring information refers to the collection of relevant data from various power grid monitoring and management systems, used to reflect the operating status, operation execution, faults and anomalies of power grid equipment, including but not limited to operation order execution status, equipment change identifiers, signal associated equipment numbers, light bar activation status data, fault monitoring identifiers, signal type identifiers, and switch current information.

[0057] Monitoring signals refer to signals generated by various equipment and systems during power grid operation to transmit information such as equipment status, operating conditions, and abnormal faults.

[0058] Signal type refers to the category of monitoring signals according to their cause and nature, including communication abnormality, electrical switching operation abnormality, maintenance abnormality, equipment failure, routine operation, etc.

[0059] In this embodiment of the invention, power grid monitoring information of the monitoring signal is obtained by calling various power grid monitoring and management systems, and the signal type is determined based on the power grid monitoring information to obtain the signal type corresponding to the monitoring signal.

[0060] Step 102: Use the signal-associated device number in the power grid monitoring information to retrieve the preset list of influence ranges and match the corresponding influence range coefficients.

[0061] The impact range list refers to a list pre-configured in the system that records the signal impact range category and corresponding coefficient for each device number in the power grid. The list is based on factors such as the power grid topology, device function, and power supply coverage.

[0062] The influence range coefficient refers to a numerical indicator that quantifies the extent to which the monitoring signal affects the power grid. Different influence ranges correspond to different coefficients, with 1 for a single device, 2 for multiple devices working together, and 3 for regional power supply.

[0063] In this embodiment of the invention, the signal-associated device number in the power grid monitoring information is input into a preset influence range list to obtain the corresponding influence range coefficient.

[0064] Step 103: Assess the risk of the signal type based on the influence range coefficient to obtain the corresponding risk level.

[0065] In this embodiment of the invention, based on a preset signal type-signal type coefficient mapping rule, the corresponding signal type coefficient is determined according to the signal type (e.g., communication anomaly = 0.5, electrical switching operation anomaly = 1, maintenance anomaly = 1, equipment failure = 3, routine operation = 1). The signal type coefficient, the impact range coefficient, and the pre-acquired historical priority coefficient are multiplied to obtain the corresponding risk assessment value. When the risk assessment value is greater than or equal to 6, the risk level is determined to be Level 1 risk. When the risk assessment value is less than 6 but greater than or equal to 1, the risk level is determined to be Level 2 risk. When the risk assessment value is less than 1, the risk level is determined to be Level 3 risk.

[0066] Step 104: Classify and handle monitoring signals according to risk level.

[0067] It should be noted that graded handling refers to the handling method that adopts differentiated alarm methods, processing procedures and closed-loop mechanisms based on the risk level of the monitored signal.

[0068] In this embodiment of the invention, when the risk level is Level 1, a voice alarm is issued using the monitoring signal. When the risk level is Level 2, an SMS alarm is issued using the monitoring signal, and the verification status corresponding to the monitoring signal is obtained based on a preset reset time. When the verification status is pending verification, a voice alarm is issued using the monitoring signal. When the risk level is Level 3, the monitoring signal is sent to a preset backend terminal.

[0069] In this embodiment of the invention, power grid monitoring information of the monitoring signal is acquired, the signal is classified according to the power grid monitoring information to obtain the corresponding signal type, a preset influence range list is retrieved using the signal-associated device number in the power grid monitoring information, the corresponding influence range coefficient is matched, a risk assessment is performed on the signal type based on the influence range coefficient to obtain the corresponding risk level, and the monitoring signal is handled in a graded manner according to the risk level. This overcomes the technical problem that existing monitoring signal processing mainly relies on a preset fault database to trigger monitoring signals, but lacks in-depth analysis and scenario-based judgment of the power grid monitoring information of the monitoring signal, resulting in the blind issuance of monitoring signals and reducing the reliability of power grid operation. Compared with traditional monitoring signal processing methods, this invention acquires power grid monitoring information from various monitoring and management systems and classifies signals according to the power grid monitoring information, thereby achieving accurate component analysis of signal categories, avoiding blind issuance of alarms, and at the same time, classifying monitoring signals according to risk level reduces repetitive mechanical work for on-duty personnel and improves the reliability of power grid operation.

[0070] Please see Figure 2 , Figure 2 This is a flowchart of the steps of a power grid monitoring information processing method provided in Embodiment 2 of the present invention.

[0071] This invention provides a method for processing power grid monitoring information, comprising:

[0072] Step 201: Obtain the power grid monitoring information of the monitoring signal. When the signal type of the monitoring signal is identified as a communication interruption signal or a period switching, the signal type corresponding to the monitoring signal is determined to be a communication anomaly.

[0073] Signal type identifier refers to the identifier parameter of the specific attributes of the monitored signal. The preset categories include equipment change signal, trip signal, communication interruption signal, periodic switching signal, etc.

[0074] Communication interruption signals refer to monitoring signals caused by reasons such as interruption of communication links in power grid equipment, communication equipment failure, or communication maintenance work.

[0075] Periodic switching refers to monitoring signals triggered by periodic scenarios such as the natural switching of equipment states (e.g., switching from battery to equalization charge in a DC system).

[0076] In this embodiment of the invention, power grid monitoring information of monitoring signals is obtained from multiple related platforms, including the dispatch automation web subsystem, the substation monitoring backend signal domain, the secondary equipment intelligent remote operation and maintenance management platform, and the provincial power grid management platform. It is then determined whether the signal type identifier of the monitoring signal is a communication interruption signal or a periodic switching signal. If the signal type identifier of the monitoring signal is a communication interruption signal or a periodic switching signal, the signal type corresponding to the monitoring signal is determined to be a communication anomaly.

[0077] Step 202: When the signal type identifier is not a communication interruption signal or a periodic switching signal, the power grid monitoring information is classified and determined to obtain the signal type corresponding to the monitoring signal.

[0078] Furthermore, the power grid monitoring information includes the operation order execution status, equipment change identifier, signal associated equipment number, light bar activation status data, and fault monitoring identifier. Step 202 includes the following sub-steps:

[0079] S11. Determine whether the operation command execution status and device displacement flag meet the preset operation association conditions.

[0080] Operation command execution status refers to the actual execution status record of operation commands issued by the dispatching command system, including three specific statuses: not executed, executing, and completed.

[0081] Equipment relocation identifier refers to a standardized identifier used to identify whether the location of primary equipment in the power grid has changed. It takes the value 0 or 1, where 0 represents that the equipment has not changed and 1 represents that the equipment has changed. It is extracted from the dispatch automation web subsystem.

[0082] In this embodiment of the invention, it is determined whether the operation command execution status and the device change identifier meet the preset operation association conditions (that is, when the operation command execution status is "in execution" or "completed" and the device change identifier is 1, it is determined that the preset operation association conditions are met).

[0083] It should be noted that the dispatching command system refers to the dedicated system used by the power grid dispatching center to issue operation commands and record the execution status of operations. It is an important platform to ensure the standardized and orderly conduct of power grid operations. The dispatching automation web subsystem refers to the web terminal module of the power grid dispatching automation system, which can provide functions such as viewing plant wiring diagrams, retrieving primary equipment change information, and extracting operation command action feedback data.

[0084] It is worth mentioning that you can also check the handling reasons of similar equipment and similar change signals in the past 7 days. If more than 80% of the records are "caused by switching operation", then you can further verify that the signal type is an abnormal electrical switching operation.

[0085] S12. When the operation order execution status and equipment change identifier meet the operation association conditions, the signal type corresponding to the monitoring signal is determined to be an electrical switching operation abnormality.

[0086] In this embodiment of the invention, when the operation command execution status is "in execution" or "completed" and the device change identifier is 1, the signal type corresponding to the monitoring signal is determined to be an electrical switching operation abnormality.

[0087] S13. When the operation order execution status and device change identifier do not meet the operation association conditions, obtain the work ticket corresponding to the signal associated device number, and extract the keywords in the work ticket according to the preset dictionary.

[0088] A dictionary refers to a database pre-configured in the system that contains core keywords related to power grid maintenance work. Keywords include, but are not limited to, "disconnect power," "deactivate signal," and "disconnect XXX compartment switch," and are used to quickly extract key information from work orders.

[0089] In this embodiment of the invention, when the operation order execution status is not executed or the device change identifier is 0, the corresponding work order is retrieved from the work order module of the provincial power grid management platform based on the signal associated device number, and the keywords in the work order are extracted according to the preset dictionary.

[0090] S14. When the keyword and light sign activation status data meet the preset maintenance association conditions, the signal type corresponding to the monitoring signal is determined as a maintenance anomaly.

[0091] The activation status data of the light bar refers to the working status data of the light bar used to indicate the status of equipment in the signal domain of the substation monitoring backend, including but not limited to the activated equipment, the activation time of the light bar, and the working status identifier.

[0092] In this embodiment of the invention, when the keyword matches the equipment status change reflected by the monitoring signal, and the activated device of the light sign is consistent with the maintenance equipment number in the work order, and the activation time of the light sign is within the valid duration of the work order, the signal type corresponding to the monitoring signal is determined to be a maintenance anomaly.

[0093] It should be noted that equipment status change refers to the change in the operating status of power grid equipment reflected by monitoring signals, such as abnormal location or signal interruption, which is the core content for matching with work order keywords.

[0094] S15. When the keyword and the light bar activation status data do not meet the maintenance association conditions, the signal type corresponding to the monitoring signal shall be determined based on the fault monitoring identifier, equipment displacement identifier and light bar activation status data.

[0095] Furthermore, S15 includes the following sub-steps:

[0096] S151. When the fault monitoring identifier is the preset first standard value, obtain the list of fault-related devices.

[0097] The first standard value refers to the fault monitoring indicator value that is pre-set in the system to determine whether the equipment has a fault, specifically 1.

[0098] In this embodiment of the invention, when the fault monitoring identifier is 1, a list of fault-related devices is obtained.

[0099] S152. Match the devices corresponding to the monitoring signals with the fault-related devices in the fault-related device list one by one.

[0100] The fault-related equipment list refers to the list of equipment that is associated with the current fault and is stored in the secondary equipment intelligent remote operation and maintenance management platform. It includes key information such as the number and attributes of all equipment that may be involved or affected by the fault.

[0101] In this embodiment of the invention, the device corresponding to the monitoring signal is compared and matched one by one with the fault-related devices in the fault-related device list.

[0102] S153. When the device corresponding to the monitoring signal is compatible with any fault-related device, determine whether the device change mark and the light sign activation status data meet the preset fault association conditions.

[0103] In this embodiment of the invention, when the device corresponding to the monitoring signal is compatible with any fault-related device, it indicates that the monitoring signal is associated with the current fault, and it is determined whether the device change identifier and the light sign activation status data meet the preset fault association conditions.

[0104] S154. When the equipment displacement indicator and the light bar activation status data meet the fault association conditions, the signal type corresponding to the monitoring signal is determined to be an equipment fault.

[0105] In this embodiment of the invention, when the device change identifier is 1, the working status identifier of the light sign activation status data is 1, and the light sign type corresponding to the light sign activation status data is "fault alarm type" (such as "device trip" or "overcurrent protection action"), the signal type corresponding to the monitoring signal is determined to be a device fault.

[0106] S155. When the equipment displacement indicator and the light bar activation status data do not meet the fault association conditions, the signal type corresponding to the monitoring signal will be determined as normal operation.

[0107] In this embodiment of the invention, when the device position identifier and the light sign activation status data do not meet the fault association conditions (the fault association conditions are that the device position identifier is 1, the working status identifier of the light sign activation status data is 1, and the light sign type corresponding to the light sign activation status data is "fault alarm type"), the signal type corresponding to the monitoring signal is determined to be normal operation.

[0108] S156. When the device corresponding to the monitoring signal is not compatible with any of the fault-related devices, the signal type corresponding to the monitoring signal shall be determined as normal operation.

[0109] In this embodiment of the invention, when the device corresponding to the monitoring signal is not compatible with any of the fault-related devices, it indicates that the monitoring signal is not directly related to the current fault, and the signal type corresponding to the monitoring signal is determined to be a normal operation.

[0110] S157. When the fault monitoring identifier is not the first standard value, the signal type corresponding to the monitoring signal is determined to be normal operation.

[0111] In this embodiment of the invention, when the fault monitoring identifier is 0, the signal type corresponding to the monitoring signal is determined to be normal operation.

[0112] Step 203: Use the signal-associated device number in the power grid monitoring information to retrieve the preset list of influence ranges and match the corresponding influence range coefficients.

[0113] In this embodiment of the invention, the signal-associated device number in the power grid monitoring information is input into a preset influence range list to obtain the corresponding influence range coefficient.

[0114] Step 204: Conduct a risk assessment of the signal type based on the influence range coefficient to obtain the corresponding risk level.

[0115] Further, step 204 includes the following sub-steps:

[0116] S21. Input the signal type into the preset signal type coefficient list to obtain the corresponding signal type coefficient.

[0117] The signal type coefficient list refers to a database pre-configured in the system that records the mapping relationship between various signal types and their corresponding quantization coefficients.

[0118] In this embodiment of the invention, a preset list of signal type coefficients is retrieved by signal type, and the corresponding signal type coefficients are matched.

[0119] S22. Multiply the signal type coefficient, the impact range coefficient, and the pre-acquired historical priority coefficient to obtain the corresponding risk assessment value.

[0120] The historical priority coefficient refers to the coefficient set based on the historical handling of similar signals. It is used to reflect the urgency of the signal's past handling. Specifically, the historical emergency handling rate is ≥80% = 3, the routine handling rate is ≥80% = 1, and the automatic closed-loop rate is ≥80% = 0.5.

[0121] In this embodiment of the invention, the multiplication between the signal type coefficient, the influence range coefficient, and the pre-acquired historical priority coefficient is calculated to obtain the corresponding risk assessment value.

[0122] S23. Use the risk assessment value to retrieve the preset classification list and match the corresponding risk level.

[0123] In this embodiment of the invention, the risk assessment value is input into a preset classification list to match the corresponding risk level.

[0124] Step 205: Classify and handle monitoring signals according to risk level.

[0125] Furthermore, step 205 includes the following sub-steps:

[0126] S31. When the risk level is Level 1, a voice alarm will be issued using the monitoring signal.

[0127] In this embodiment of the invention, when the risk level is Level 1, the core fault information associated with the monitoring signal is used to trigger a voice call alarm, automatically dialing the emergency contact number preset between the on-duty personnel and the dispatch terminal. After the call is connected, the key fault-related content is clearly broadcast, and at the same time, the power grid monitoring information of the faulty equipment is pushed to the background terminal.

[0128] It should be noted that the back-end terminal refers to the duty mobile phone and the dispatch terminal information collection system. The dispatch terminal information collection system is a system used by the dispatch center to centrally collect, store, and display various power grid operation signals and fault information. It is an important platform for dispatchers to understand the power grid status and carry out emergency command.

[0129] S32. When the risk level is Level 2, the monitoring signal will be used to send an SMS alarm, and the verification status corresponding to the monitoring signal will be obtained based on the preset reset time.

[0130] Regression time refers to the time threshold preset in the system to determine whether a signal needs to be escalated to an alarm. For example, when the risk assessment value is greater than or equal to 3 and less than 6, the regression time is 15 minutes. When the risk assessment value is greater than or equal to 1 and less than 3, the regression time is determined based on the historical average regression time plus 2 standard deviations.

[0131] The verification status refers to the tracking status of the secondary risk signal, including "pending verification", "verified", and "reverted".

[0132] In this embodiment of the invention, when the risk level is Level 2, a concise and clear alarm SMS is generated using the core correlation information of the monitoring signal and quickly sent to the preset receiving numbers of the on-duty personnel and the dispatch terminal. The verification status corresponding to the monitoring signal is then obtained based on a preset return time.

[0133] S33. When the verification status is pending verification, a voice alarm will be issued using the monitoring signal.

[0134] In this embodiment of the invention, when the verification status is pending verification, it indicates that there may be a potential risk that the monitoring signal has not been paid attention to in a timely manner, and the monitoring signal is used to issue a voice alarm.

[0135] S34. When the risk level is level three, the monitoring signal will be sent to the preset back-end terminal.

[0136] In this embodiment of the invention, when the risk level is level three, it means that the monitoring signal can be ignored, and the monitoring signal and the associated power grid monitoring information are pushed to a preset backend terminal.

[0137] It is worth mentioning that for monitoring signals that occur frequently within a month, the monitoring signals can be entered into a preset verification and feedback list, thereby reminding maintenance personnel to verify and provide feedback on the monitoring signals.

[0138] In this embodiment of the invention, power grid monitoring information of the monitoring signal is acquired, the signal is classified according to the power grid monitoring information to obtain the corresponding signal type, a preset influence range list is retrieved using the signal-associated device number in the power grid monitoring information, the corresponding influence range coefficient is matched, a risk assessment is performed on the signal type based on the influence range coefficient to obtain the corresponding risk level, and the monitoring signal is handled in a graded manner according to the risk level. This overcomes the technical problem that existing monitoring signal processing mainly relies on a preset fault database to trigger monitoring signals, but lacks in-depth analysis and scenario-based judgment of the power grid monitoring information of the monitoring signal, resulting in the blind issuance of monitoring signals and reducing the reliability of power grid operation. Compared with traditional monitoring signal processing methods, this invention acquires power grid monitoring information from various monitoring and management systems and classifies signals according to the power grid monitoring information, thereby achieving accurate component analysis of signal categories, avoiding blind issuance of alarms, and at the same time, classifying monitoring signals according to risk level reduces repetitive mechanical work for on-duty personnel and improves the reliability of power grid operation.

[0139] Please see Figure 3 , Figure 3This is a structural block diagram of a power grid monitoring information processing system provided in Embodiment 3 of the present invention.

[0140] The present invention provides a power grid monitoring information processing system, comprising:

[0141] The classification module 301 is used to acquire power grid monitoring information of the monitoring signals, classify the signals according to the power grid monitoring information, and obtain the signal type corresponding to the monitoring signals.

[0142] The influence module 302 is used to retrieve a preset list of influence ranges by using the signal-associated device numbers in the power grid monitoring information and to match the corresponding influence range coefficients.

[0143] The assessment module 303 is used to assess the risk of signal types based on the influence range coefficient and obtain the corresponding risk level.

[0144] The handling module 304 is used to classify and handle monitoring signals according to risk level.

[0145] Furthermore, the classification module 301 includes:

[0146] The first determination submodule is used to determine the signal type corresponding to the monitored signal as a communication anomaly when the signal type identifier of the monitored signal is a communication interruption signal or a period switching signal.

[0147] The second determination submodule is used to perform signal type classification determination on the power grid monitoring information when the signal type identifier is not a communication interruption signal or a period switching, so as to obtain the signal type corresponding to the monitoring signal.

[0148] Furthermore, the power grid monitoring information includes operation order execution status, equipment change identifiers, signal-associated equipment numbers, light bar activation status data, and fault monitoring identifiers. The second judgment submodule includes:

[0149] The switching operation determination unit is used to determine whether the operation command execution status and equipment change identifier meet the preset operation association conditions.

[0150] When the operation command execution status and equipment change identifier meet the operation association conditions, the signal type corresponding to the monitoring signal is determined to be an electrical switching operation abnormality.

[0151] The maintenance judgment unit is used to obtain the work ticket corresponding to the signal-associated device number when the operation order execution status and equipment change identifier do not meet the operation association conditions, and extract keywords from the work ticket according to the preset dictionary.

[0152] When the keyword and light sign activation status data meet the preset maintenance association conditions, the signal type corresponding to the monitoring signal is determined to be a maintenance anomaly.

[0153] The analysis unit is used to determine the signal type corresponding to the monitoring signal based on the fault monitoring identifier, equipment displacement identifier, and light sign activation status data when the keyword and light sign activation status data do not meet the maintenance association conditions.

[0154] Furthermore, the analysis unit includes:

[0155] The first analysis subunit is used to obtain a list of fault-related devices when the fault monitoring identifier is a preset first standard value.

[0156] Match the devices corresponding to the monitoring signals with the fault-related devices in the fault-related device list one by one.

[0157] The second analysis subunit is used to determine whether the device change identifier and light sign activation status data meet the preset fault association conditions when the device corresponding to the monitoring signal is compatible with any fault-related device.

[0158] When the equipment displacement indicator and the light bar activation status data meet the fault association conditions, the signal type corresponding to the monitoring signal is determined to be an equipment fault.

[0159] When the equipment displacement indicator and the light bar activation status data do not meet the fault association conditions, the signal type corresponding to the monitoring signal will be determined as normal operation.

[0160] When the device corresponding to the monitoring signal is not compatible with any of the fault-related devices, the signal type corresponding to the monitoring signal is determined to be normal operation.

[0161] When the fault monitoring identifier is not the first standard value, the signal type corresponding to the monitoring signal is determined to be normal operation.

[0162] Furthermore, the evaluation module 303 includes:

[0163] The first evaluation submodule is used to input the signal type into a preset list of signal type coefficients and obtain the corresponding signal type coefficients.

[0164] The risk assessment value is obtained by multiplying the signal type coefficient, the impact range coefficient, and the pre-acquired historical priority coefficient.

[0165] The second assessment submodule is used to retrieve a preset grading list using risk assessment values ​​and match the corresponding risk level.

[0166] Furthermore, the processing module 304 includes:

[0167] The first handling submodule is used to issue a voice alarm using monitoring signals when the risk level is Level 1.

[0168] The second processing submodule is used to send SMS alarms using monitoring signals when the risk level is level 2, and to obtain the verification status corresponding to the monitoring signals based on the preset return time.

[0169] When the verification status is pending verification, a voice alarm will be issued using the monitoring signal.

[0170] The third processing submodule is used to send the monitoring signal to the preset backend terminal when the risk level is level three.

[0171] Please see Figure 4 , Figure 4 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention.

[0172] An electronic device according to an embodiment of the present invention includes: a memory 401 and a processor 402. The memory 401 stores a computer program. When the computer program is executed by the processor 402, the processor 402 performs the power grid monitoring information processing method as described in any of the above embodiments.

[0173] Memory 401 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 401 has storage space 403 for program code 413 for performing any of the method steps described above. For example, storage space 403 for program code may include individual program codes 413 for implementing the various steps in the methods described above. This program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, CDs, memory cards, or floppy disks. The program code may be compressed, for example, in a suitable form. When run by a computing processing device, this code causes the computing processing device to perform the various steps in the methods described above. This program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, CDs, memory cards, or floppy disks. The program code may be compressed, for example, in a suitable form. When this code is run by a computing processing device, it causes the device to perform the various steps in the power grid monitoring information processing method described above.

[0174] Embodiment 5 of the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the power grid monitoring information processing method as described in any of the above embodiments.

[0175] Embodiment 6 of the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the power grid monitoring information processing method as described in any of the above embodiments.

[0176] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0177] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0178] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0179] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0180] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0181] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for processing power grid monitoring information, characterized in that, include: The power grid monitoring information of the monitoring signal is acquired, and the signal is classified according to the power grid monitoring information to obtain the signal type corresponding to the monitoring signal; The signal-associated device number in the power grid monitoring information is used to retrieve a preset list of influence ranges and match the corresponding influence range coefficient. The risk level of the signal type is obtained by performing a risk assessment based on the influence range coefficient. The monitoring signals are classified and handled according to the risk level.

2. The power grid monitoring information processing method according to claim 1, characterized in that, The step of classifying signals based on the power grid monitoring information to obtain the signal type corresponding to the monitoring signal includes: When the signal type of the monitored signal is identified as a communication interruption signal or a period switching signal, the signal type corresponding to the monitored signal is determined to be a communication anomaly. When the signal type identifier is not a communication interruption signal or a period switching signal, the power grid monitoring information is classified and determined to obtain the signal type corresponding to the monitoring signal.

3. The power grid monitoring information processing method according to claim 2, characterized in that, The power grid monitoring information includes operation order execution status, equipment change identifier, signal associated equipment number, light bar activation status data, and fault monitoring identifier. The step of classifying and determining the signal type of the monitored signal based on the power grid monitoring information includes: Determine whether the operation command execution status and the device change identifier meet the preset operation association conditions; When the operation command execution status and the equipment change identifier meet the operation association conditions, the signal type corresponding to the monitoring signal is determined to be an electrical switching operation abnormality. When the operation order execution status and the device change identifier do not meet the operation association conditions, the work ticket corresponding to the signal associated device number is obtained, and keywords in the work ticket are extracted according to a preset dictionary. When the keyword and the activation status data of the light sign meet the preset maintenance association conditions, the signal type corresponding to the monitoring signal is determined to be a maintenance anomaly. When the keyword and the light sign activation status data do not meet the maintenance association conditions, the signal type corresponding to the monitoring signal is determined based on the fault monitoring identifier, the equipment displacement identifier, and the light sign activation status data.

4. The power grid monitoring information processing method according to claim 3, characterized in that, The step of determining the signal type corresponding to the monitoring signal based on the fault monitoring identifier, the equipment displacement identifier, and the light sign activation status data includes: When the fault monitoring identifier is a preset first standard value, a list of fault-related devices is obtained; Match the device corresponding to the monitoring signal with the fault-related devices in the fault-related device list one by one; When the device corresponding to the monitoring signal is compatible with any of the fault-associated devices, it is determined whether the device change identifier and the light sign activation status data meet the preset fault association conditions. When the device displacement identifier and the light sign activation status data meet the fault association conditions, the signal type corresponding to the monitoring signal is determined to be a device fault. When the device displacement identifier and the light sign activation status data do not meet the fault association conditions, the signal type corresponding to the monitoring signal is determined to be normal operation; When the device corresponding to the monitoring signal is not compatible with any of the fault-related devices, the signal type corresponding to the monitoring signal is determined to be normal operation; When the fault monitoring identifier is not the first standard value, the signal type corresponding to the monitoring signal is determined to be normal operation.

5. The power grid monitoring information processing method according to claim 1, characterized in that, The step of assessing the risk of the signal type based on the influence range coefficient to obtain the corresponding risk level includes: Input the signal type into a preset signal type coefficient list to obtain the corresponding signal type coefficient; The signal type coefficient, the influence range coefficient, and the pre-acquired historical priority coefficient are multiplied to obtain the corresponding risk assessment value. The risk assessment value is used to retrieve a preset grading list and match the corresponding risk level.

6. The power grid monitoring information processing method according to claim 1, characterized in that, The step of classifying and processing the monitoring signal according to the risk level includes: When the risk level is Level 1, the monitoring signal is used for voice alarm. When the risk level is level 2, the monitoring signal is used to send an SMS alarm, and the verification status corresponding to the monitoring signal is obtained based on the preset recovery time. When the verification status is pending verification, the monitoring signal is used to issue a voice alarm; When the risk level is level three, the monitoring signal is sent to a preset backend terminal.

7. A power grid monitoring information processing system, characterized in that, include: The classification module is used to acquire power grid monitoring information of the monitoring signals, classify the signals according to the power grid monitoring information, and obtain the signal type corresponding to the monitoring signals. The impact module is used to retrieve a preset impact range list using the signal-associated device number in the power grid monitoring information and match the corresponding impact range coefficient. The assessment module is used to perform a risk assessment on the signal type based on the influence range coefficient to obtain the corresponding risk level. The processing module is used to classify and process the monitoring signals according to the risk level.

8. An electronic device, characterized in that, The method includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the power grid monitoring information processing method as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the power grid monitoring information processing method as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the power grid monitoring information processing method as described in any one of claims 1-6.

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