A power distribution network operation state checking method, system, device, medium and product

Abstract

The application discloses a power distribution network operation state checking method, system, device, medium and product, relates to the power distribution network monitoring technical field, when the power grid checking page receives operation data, carries out the hanging board time limit verification on the operation data, obtains the corresponding hanging board validity coefficient, carries out multidimensional checking according to the operation data, obtains the corresponding checking data, carries out health assessment according to the checking data and the hanging board validity coefficient, obtains the corresponding health assessment value, generates the corresponding operation state checking result by using the health assessment value, the hanging board validity coefficient and the checking data, and the operation state checking result is displayed on the power grid checking page. The application solves the technical problem that the daily operation management of the power distribution network mainly depends on the manual mode, the work load is heavy, the risk identification has significant lag, the problem can be perceived only after the problem is deteriorated or an accident is caused, the pre-warning and active prevention and control ability are lacked, and the reliability of the power distribution network operation is reduced.

Description

Technical Field

[0001] This invention relates to the field of power distribution network monitoring technology, and in particular to a method, system, equipment, medium and product for verifying the operating status of a power distribution network. Background Technology

[0002] As a crucial link connecting users in the power system, the operational safety and power supply reliability of the distribution network directly affect the order of social production and daily life. With the continuous expansion of the distribution network scale and the increasing complexity of its structure, coupled with the increasingly heavy operation and maintenance tasks such as live-line work and maintenance, the dispatching, operation and management of the distribution network face enormous challenges.

[0003] Currently, the daily operation and management of distribution networks mainly relies on manual methods. Dispatch personnel need to regularly check and handle items such as the reclosing status of lines, the execution of live-line work and maintenance work orders, the information displayed in the dispatch system, the ring network operation mode, the actual position status of switches and disconnectors, and abnormal work orders in distribution automation. However, manual item-by-item verification is extremely inefficient. The number of lines, equipment, and work orders under the jurisdiction of the distribution network is huge, and on-duty personnel need to spend a lot of time comparing ledgers and confirming status. This not only results in a heavy workload but also a significant lag in risk identification, often only being noticed after problems have worsened or caused accidents. This lack of early warning and proactive prevention capabilities reduces the reliability of distribution network operation. Summary of the Invention

[0004] This invention provides a method, system, equipment, medium, and product for verifying the operational status of a distribution network. It addresses the problem that daily operation and management of distribution networks primarily relies on manual processes. Dispatch personnel must periodically check and handle items such as the reclosing status of lines, the execution of live-line work and maintenance orders, dispatch system information, ring network operation modes, actual switch and disconnector status, and abnormal distribution automation work orders. However, manual item-by-item verification is extremely inefficient. Given the vast number of lines, equipment, and work orders under the jurisdiction of the distribution network, personnel must spend a significant amount of time comparing records and confirming status. This not only results in a heavy workload but also significant delays in risk identification, often only becoming apparent after problems worsen or accidents occur. This lack of proactive warning and control capabilities reduces the reliability of distribution network operation.

[0005] The first aspect of this invention provides a method for verifying the operating status of a power distribution network, comprising:

[0006] When the power grid verification page receives the operation data, it performs a timeliness verification on the operation data to obtain the corresponding validity coefficient of the listing.

[0007] Based on the operational data, multi-dimensional verification is performed to obtain the corresponding verification data;

[0008] A health assessment is conducted based on the verification data and the validity coefficient of the listing to obtain the corresponding health assessment value.

[0009] The corresponding operation status verification results are generated using the health assessment value, the listing validity coefficient, and the verification data, and the operation status verification results are displayed on the power grid verification page.

[0010] By adopting the above technical solutions, a refined and objective assessment of the effectiveness of labeling, equipment operating conditions, ring network operation, and potential work order hazards is achieved through quantitative coefficients. Risk classification is completed based on comprehensive evaluation, and the results are displayed intuitively on the page. This significantly reduces the workload of operation and maintenance personnel, avoids problems of missed inspections and misjudgments by manual methods, and can identify potential operational risks in advance, realizing early warning of distribution network operation and effectively improving the level of distribution network management and power supply reliability.

[0011] Optionally, the step of verifying the listing timeliness of the operational data to obtain the corresponding listing validity coefficient includes:

[0012] The difference between the pre-acquired inspection time and the work order completion time in the operation data is processed to obtain the corresponding first difference.

[0013] The first difference is compared with the preset grace period for listing in the procedure to obtain the corresponding second difference;

[0014] The second difference is compared with the preset benchmark duration to obtain the corresponding initial listing coefficient;

[0015] When the initial listing coefficient is greater than or equal to the preset benchmark listing validity coefficient, the initial listing coefficient is determined as the corresponding listing validity coefficient.

[0016] When the initial listing coefficient is less than the benchmark listing validity coefficient, the benchmark listing validity coefficient is determined as the corresponding listing validity coefficient.

[0017] By adopting the above technical solution, the interval after the work is completed is quantified based on the time difference between the inspection time and the work order completion time. Then, the buffer period allowed by the procedure for posting a sign is deducted, avoiding the problem of misjudging the validity of the sign caused by the delay in work completion and system data synchronization. Next, the dimensionless conversion is completed with the help of the benchmark duration, and the measurement standard for the degree of overdue signage under different work duration scenarios is unified. Finally, the validity coefficient of the signage is determined by combining the benchmark signage validity coefficient. This can accurately quantify the overdue status of the signage, realize the standardized automatic judgment of the validity of the signage, get rid of the drawbacks of manual rough estimation, ensure that the timeliness verification of the signage conforms to the on-site operation and maintenance specifications, and improve the objectivity and accuracy of the coefficient calculation results.

[0018] Optionally, the operational data includes live-line working duration, reclosing and switching duration set in the work order, number of section switches, number of disconnectors with incorrect setting, loop closing time, planned loop closing period, overdue duration of abnormal work orders, and work order completion deadline. The step of performing multi-dimensional verification based on the operational data to obtain corresponding verification data includes:

[0019] The difference between the reclosing switching time set in the work order and the pre-acquired reclosing switching time is processed to obtain the corresponding third difference.

[0020] The absolute value of the third difference is compared with the duration of the live-line operation to obtain the corresponding first ratio.

[0021] The difference between the preset reclosing matching benchmark value and the first ratio is processed to obtain the corresponding reclosing matching coefficient.

[0022] The ratio of the number of incorrectly set disconnectors to the number of switches in the section is used to obtain the corresponding switch disconnector state coefficient.

[0023] When the loop closure time falls within the planned loop closure period, the preset first compliance coefficient is determined as the ring network operation compliance coefficient.

[0024] When the loop closure time is not within the planned loop closure period, the preset second compliance coefficient is determined as the ring network operation compliance coefficient;

[0025] Input the overdue duration of the abnormal work order and the completion time limit of the work order into a preset abnormal work order retention function to obtain the corresponding abnormal work order retention coefficient.

[0026] The reclosing matching coefficient, the switch and disconnector status coefficient, the ring network operation compliance coefficient, and the abnormal work order retention coefficient are used as the corresponding verification data.

[0027] By adopting the above technical solution, the accounting indicators are broken down into four key dimensions: reclosing switching matching, switch and disconnector equipment status, ring network operation sequence, and abnormal work order management. Based on the actual operation data of the work orders, various operational deviations are quantified, and standardized calculations of each coefficient are completed through ratios, segmented assignments, and function operations. On the one hand, the duration of live-line work, the total number of switches, and the work order completion time limit are used as normalization benchmarks to eliminate the differences in data volume between different lines and work conditions, making various verification indicators horizontally comparable. On the other hand, two accounting modes are distinguished: quantitative measurement and time-based determination. This accurately quantifies reclosing action deviations, equipment error rates, and work order overdue degrees, intuitively distinguishing whether ring network operations are compliant. Multi-dimensional verification data comprehensively covers the core risk points of distribution network operation and maintenance, replacing manual item-by-item review of ledgers, improving verification efficiency and calculation accuracy, and providing quantitative and objective data support for subsequent distribution network health assessments.

[0028] Optionally, the step of performing a health assessment based on the verification data and the validity coefficient of the plaque to obtain the corresponding health assessment value includes:

[0029] The preset health benchmark value is compared with the switch status coefficient, the ring network operation compliance coefficient and the abnormal work order retention coefficient to obtain the corresponding fourth difference, fifth difference and sixth difference.

[0030] Based on preset health weights, the validity coefficient of the listing, the fourth difference, the fifth difference, and the sixth difference are weighted and calculated to obtain the corresponding health assessment value.

[0031] By adopting the above technical solution, the health margin of each sub-indicator is calculated based on the health benchmark value, and transformed into a uniform difference parameter. Then, the health assessment value is obtained by weighting the health weighting, the effectiveness coefficient of the listing, and various operational indicators. This not only quantifies the impact of each potential fault on the overall operation of the distribution network, but also distinguishes the risk priority of different indicators based on weights, taking into account the listing timeliness and multiple operational factors such as equipment, ring network, and work orders, achieving a comprehensive quantitative evaluation. The assessment results are objectively quantified, eliminating the defects of subjective scoring and accurately reflecting the overall health level of the distribution network.

[0032] Optionally, the step of generating the corresponding operational status verification result using the health assessment value, the listing validity coefficient, and the verification data includes:

[0033] When the validity coefficient of the listing is greater than the preset benchmark validity coefficient, the operation status verification result is determined to be that the listing is invalid.

[0034] When the listing validity coefficient is less than or equal to the benchmark listing validity coefficient, the health assessment value is used to retrieve the preset risk classification list and match the corresponding risk classification judgment result.

[0035] The corresponding operational status verification results are generated using the risk classification results, the verification data, and the listing validity coefficient.

[0036] By adopting the above technical solution and employing a hierarchical judgment logic, the validity of the listing is verified first. If a listing expires, an early warning is issued directly to prevent safety hazards caused by oversights. When a listing is compliant, a health assessment value is used to retrieve a pre-defined risk classification list and match the corresponding risk classification results, achieving refined judgment of anomalies. Then, the risk classification results, verification data, and listing validity coefficients are used to generate corresponding operational status verification results. This approach highlights urgent hazards such as expired listings while also providing tiered risk management for routine operations, facilitating maintenance personnel to handle hazards according to their severity and enabling intelligent and hierarchical assessment of distribution network risks.

[0037] Optionally, the step of displaying the operating status verification result on the power grid verification page includes:

[0038] The operational status verification results are loaded into the feedback component within the power grid verification page;

[0039] The feedback component is rendered to generate a power grid verification page containing the operation status verification results.

[0040] By adopting the above technical solution and displaying the data through component loading and page rendering, the verification data can be standardized and bound to the front-end feedback component, enabling automatic and visual presentation of the verification results without the need for manual data entry. Data is displayed synchronously in real time, with various risks and coefficient indicators centrally summarized on the power grid verification page. This allows dispatchers to intuitively view the distribution network operation status, reducing information retrieval time and improving on-site operation and maintenance efficiency.

[0041] A second aspect of the present invention provides a power distribution network operation status verification system, comprising:

[0042] The response module is used to verify the listing timeliness of the running data when the power grid verification page receives the running data, and obtain the corresponding listing validity coefficient.

[0043] The verification module is used to perform multi-dimensional verification based on the running data to obtain the corresponding verification data;

[0044] The assessment module is used to conduct a health assessment based on the verification data and the validity coefficient of the listing, and obtain the corresponding health assessment value.

[0045] The display module is used to generate corresponding operation status verification results using the health assessment value, the listing validity coefficient, and the verification data, and to display the operation status verification results on the power grid verification page.

[0046] 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 distribution network operation status verification method described above.

[0047] The fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, it implements the power distribution network operation status verification method as described above.

[0048] 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 distribution network operation status verification method as described above.

[0049] As can be seen from the above technical solutions, the present invention has the following advantages:

[0050] This invention overcomes the technical problem that the daily operation and management of distribution networks mainly relies on manual methods. This manual method not only results in a heavy workload but also exhibits significant delays in risk identification, often only noticing problems after they have worsened or caused accidents. It lacks proactive warning and prevention capabilities, thus reducing the reliability of distribution network operation. The invention also verifies the timeliness of the data when the power grid verification page receives operational data, obtaining a corresponding validity coefficient. Multi-dimensional verification is then performed based on the operational data to obtain corresponding verification data. Finally, a health assessment is conducted based on the verification data and the validity coefficient to obtain a corresponding health assessment value. Finally, the corresponding operation status verification result is generated using the health assessment value, the validity coefficient, and the verification data, and is displayed on the power grid verification page. Compared with traditional methods for verifying the operational status of distribution networks, this invention quantifies the validity of operational data by labeling it, and combines multi-dimensional verification such as reclosing matching, switch status, ring network operation compliance, and abnormal work order delays. It then calculates a health assessment value reflecting the overall health of the lines, using the health assessment value, label validity coefficient, and verification data to generate corresponding operational status verification results, which are displayed on the power grid verification page. This significantly improves inspection efficiency and data coverage, eliminating human error and operational oversight. Through the joint determination of the health assessment value and label validity coefficient, it achieves pre-emptive risk identification and tiered early warning, significantly enhancing the safety control capabilities of the distribution network during nighttime and non-working hours, thereby improving the reliability of distribution network operation. Attached Figure Description

[0051] 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.

[0052] Figure 1 This is a flowchart of the steps of a method for verifying the operating status of a power distribution network according to Embodiment 1 of the present invention;

[0053] Figure 2This is a flowchart of the steps of a power distribution network operation status verification method provided in Embodiment 2 of the present invention;

[0054] Figure 3 This is a structural block diagram of a power distribution network operation status verification system provided in Embodiment 3 of the present invention;

[0055] Figure 4 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0056] This invention provides a method, system, equipment, medium, and product for verifying the operational status of a distribution network. It addresses the problem that daily operation and management of distribution networks primarily relies on manual processes. Dispatch personnel must periodically check and handle items such as the reclosing status of lines, the execution of live-line work and maintenance orders, dispatch system information, ring network operation modes, actual switch and disconnector status, and abnormal distribution automation work orders. However, manual item-by-item verification is extremely inefficient. Given the large number of lines, equipment, and work orders under the jurisdiction of the distribution network, personnel must spend a significant amount of time comparing records and confirming status. This not only results in a heavy workload but also significant delays in risk identification, often only becoming apparent after problems worsen or accidents occur. This lack of proactive warning and control capabilities reduces the reliability of distribution network operation.

[0057] 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.

[0058] Please see Figure 1 , Figure 1 The flowchart illustrates the steps of a power distribution network operation status verification method provided in Embodiment 1 of the present invention.

[0059] This invention provides a method for verifying the operating status of a power distribution network, comprising:

[0060] Step 101: When the power grid verification page receives the operation data, it performs a timeliness verification on the operation data to obtain the corresponding validity coefficient of the listing.

[0061] The listing validity coefficient is a quantitative indicator used to assess whether a listing is still within its validity period. A coefficient greater than 0 indicates that the listing has expired, while a coefficient less than or equal to 0 indicates that the listing is still valid.

[0062] Operational data refers to dimensional data reflecting the nighttime operation status of the distribution network, including but not limited to live-line operation duration, reclosing and switching duration set in work orders, number of switches in the section, number of disconnectors with incorrect setting, loop closing time, planned loop closing period, overdue duration of abnormal work orders, work order completion time limit, and work order completion time.

[0063] In this embodiment of the invention, when the power grid verification page receives operational data, it extracts the work order completion time from the operational data, calculates the time difference between the inspection time and the work order completion time, and obtains a first difference. Then, it subtracts a preset grace period for procedure posting from the first difference to obtain a second difference. The second difference is divided by a preset base duration to obtain an initial posting coefficient. The initial posting coefficient is compared with a preset base posting validity coefficient. If the initial posting coefficient is greater than or equal to the base posting validity coefficient, the initial posting coefficient is used as the corresponding posting validity coefficient. Otherwise, the base posting validity coefficient is determined as the posting validity coefficient.

[0064] In another embodiment, when the power grid verification page receives the operation data, it inputs the operation data into a preset listing validity verification function to obtain the corresponding listing validity coefficient.

[0065] It should be noted that the specific function for verifying the listing validity period is as follows:

[0066] ;

[0067] in, The validity coefficient of the listing. For inspection time, The completion time of the work order. To allow for a grace period for the listing of the regulations, This is the base duration.

[0068] It is worth mentioning that by automatically verifying the timeliness of the listing and quantifying it into an effectiveness coefficient, the listing status can be standardized and automatically judged, eliminating the need for manual item-by-item verification of ledgers. The quantitative values ​​intuitively reflect the degree of listing overdue, the judgment rules are unified and standardized, reducing human judgment bias and omissions, and enabling the timely detection of potential listing failures, providing accurate and timely quantitative basis for subsequent power distribution network health assessments.

[0069] Step 102: Perform multi-dimensional verification based on the running data to obtain the corresponding verification data.

[0070] In this embodiment of the invention, operational data is input into a preset reclosing matching verification function to obtain the corresponding reclosing matching coefficient. Operational data is input into a preset switch / disconnector verification function to obtain the corresponding switch / disconnector status coefficient. The abnormal work order overdue duration and work order completion time limit of the operational data are input into a preset abnormal work order retention function to obtain the corresponding abnormal work order retention coefficient. Operational data is input into a preset ring network operation compliance verification function to obtain the corresponding ring network operation compliance coefficient. The reclosing matching coefficient, switch / disconnector status coefficient, ring network operation compliance coefficient, and abnormal work order retention coefficient are used as the corresponding verification data.

[0071] It should be noted that the reclosing matching verification function is as follows:

[0072] ;

[0073] in, This is the reclosing matching coefficient. Set the reclosing switching time for the work order. This refers to the reclosing switching time. This refers to the duration of live-line work.

[0074] The specific verification function for the switch and disconnector is as follows:

[0075] ;

[0076] in, This is the state coefficient of the switch / disconnector. This represents the number of disconnectors that failed to set. This represents the number of switches in the interval.

[0077] The specific function for verifying compliance in ring network operation is as follows:

[0078] ;

[0079] in, To ensure compliance with ring network operation standards, For the moment of loop closure, To determine the start time of the planned loop closure, The planned termination time for the loop closure.

[0080] It is worth mentioning that by automatically quantifying and calculating from four dimensions—reclosing, switching and disconnecting switches, ring network operations, and abnormal work orders—various potential risks in distribution network operation are transformed into standardized coefficient data. This eliminates the inefficient mode of manual item-by-item verification, provides unified and highly comparable quantitative indicators, comprehensively covers key operation and maintenance risk points, and provides detailed and objective basic data for subsequent health assessments.

[0081] Step 103: Conduct a health assessment based on the verification data and the validity coefficient of the plaque to obtain the corresponding health assessment value.

[0082] The health assessment value refers to a quantitative score that comprehensively reflects the overall operational health of the power distribution network at the time of inspection. The value ranges from 0 to 100, with a lower score indicating a higher risk.

[0083] In this embodiment of the invention, the verification data and the validity coefficient of the plaque are input into a preset health assessment function to obtain the corresponding health assessment value.

[0084] It should be noted that the health assessment function is as follows:

[0085] ;

[0086] in, These are health assessment values. As the primary health weighting coefficient, This is the second health weighting coefficient. The third health weighting coefficient, The fourth health weighting coefficient, The fifth health weighting coefficient, This is the abnormal work order retention coefficient.

[0087] It is worth mentioning that by combining the timeliness of listing with multi-dimensional verification indicators to calculate the health assessment value, the system comprehensively considers various influencing factors such as listing management, equipment status, ring network compliance, and work order delays. It differentiates the impact weight of various hidden dangers based on weights, thus quantifying the overall operational level of the distribution network. This eliminates subjective human judgment, ensuring objective assessment results and accurately quantifying the overall risk level, providing a reliable quantitative basis for subsequent risk classification.

[0088] Step 104: Generate the corresponding operation status verification results using health assessment values, listing validity coefficients, and verification data, and display the operation status verification results on the power grid verification page.

[0089] The operational status verification result refers to the final judgment conclusion output after intelligent analysis, including types such as "listing invalid", "normal", "caution" and "serious abnormality", and is accompanied by detailed verification indicator data.

[0090] In this embodiment of the invention, the validity coefficient of the tagging is first checked to see if it is greater than a preset benchmark tagging validity coefficient (usually set to 0). If it is greater than 0, it is directly determined that the current line or equipment has a tagging failure problem, and the operation status verification result is marked as "tagging failure" (at this time, the health assessment value is no longer relied on for classification, because tagging failure is a clear anomaly that needs to be handled automatically immediately). If the validity coefficient of the tagging is less than or equal to the benchmark tagging validity coefficient, the preset risk classification list is retrieved according to the health assessment value to obtain the corresponding risk classification judgment result (for example, when the health assessment value is greater than or equal to 80, it is judged as "normal", when the health assessment value is between 60 and 80, it is judged as "attention", and when the health assessment value is less than 60, it is judged as "serious anomaly"). The risk classification judgment result, together with the reclosing matching coefficient, switch status coefficient, ring network operation compliance coefficient, abnormal work order retention coefficient, health assessment value, and tagging validity coefficient in the verification data, are packaged together to generate a structured operation status verification result. The operation status verification result is then displayed on the power grid verification page.

[0091] It should be noted that by combining the listing status, comprehensive health score, and sub-item verification indicators to generate verification conclusions in a tiered manner, the system first identifies urgent potential risks due to listing failure, then classifies operational risk levels based on health values, and displays the results in a unified and visual manner on the page. This not only ensures the implementation of risk classification and makes the causes of various anomalies traceable, but also facilitates quick review and accurate fault location by operations and maintenance personnel, reducing the workload of manual compilation and summarization, and helping to quickly handle potential risks.

[0092] It is worth mentioning that by using quantitative coefficients, the system enables a refined and objective assessment of the effectiveness of equipment registration, operating conditions, ring network operation, and potential work order hazards. Risk classification is completed based on comprehensive evaluation, and the results are displayed intuitively on the page. This significantly reduces the workload of maintenance personnel, avoids problems of missed inspections and misjudgments by manual methods, and can identify potential operational risks in advance, achieving early warning of distribution network operation and effectively improving the level of distribution network management and power supply reliability.

[0093] In this embodiment of the invention, when the power grid verification page receives operational data, it verifies the timeliness of the tagging process to obtain the corresponding tagging validity coefficient. Multi-dimensional verification is then performed based on the operational data to obtain corresponding verification data. A health assessment is conducted based on the verification data and the tagging validity coefficient to obtain the corresponding health assessment value. The health assessment value, tagging validity coefficient, and verification data are then used to generate the corresponding operational status verification result, which is displayed on the power grid verification page. This overcomes the technical problem that the daily operation and management of distribution networks mainly relies on manual methods, which not only results in a heavy workload but also has a significant lag in risk identification, often only becoming apparent after problems worsen or accidents occur. This lack of pre-emptive warning and proactive prevention capabilities reduces the reliability of distribution network operation. Compared with traditional methods for verifying the operational status of distribution networks, this invention quantifies the validity of operational data by labeling it, and combines multi-dimensional verification such as reclosing matching, switch status, ring network operation compliance, and abnormal work order delays. It then calculates a health assessment value reflecting the overall health of the lines, using the health assessment value, label validity coefficient, and verification data to generate corresponding operational status verification results, which are displayed on the power grid verification page. This significantly improves inspection efficiency and data coverage, eliminating human error and operational oversight. Through the joint determination of the health assessment value and label validity coefficient, it achieves pre-emptive risk identification and tiered early warning, significantly enhancing the safety control capabilities of the distribution network during nighttime and non-working hours, thereby improving the reliability of distribution network operation.

[0094] Please see Figure 2 , Figure 2 The flowchart illustrates the steps of a power distribution network operation status verification method provided in Embodiment 2 of the present invention.

[0095] This invention provides a method for verifying the operating status of a power distribution network, comprising:

[0096] Step 201: When the power grid verification page receives the operation data, it performs a timeliness verification on the operation data to obtain the corresponding validity coefficient of the listing.

[0097] Further, step 201 includes the following sub-steps:

[0098] S11. Perform difference processing on the pre-acquired inspection time and the work order completion time in the operation data to obtain the corresponding first difference.

[0099] The inspection time refers to the time when the system presets the time to start the fully automatic inspection task. It is usually set to 23:00 every day by default, which is used to trigger nighttime inspections uniformly.

[0100] The completion time of a work order refers to the actual recorded and confirmed completion time of the work in the maintenance work order or live-line work order, accurate to the minute.

[0101] In this embodiment of the invention, a pre-set inspection time (e.g., 11 PM daily) is obtained from the timed inspection trigger module. Simultaneously, the work order completion time for the corresponding line or equipment is extracted from the operational data. The pre-acquired inspection time and the work order completion time in the operational data are then compared to obtain a corresponding first difference. This first difference reflects the interval between the inspection time and the actual end time of the work. A positive value indicates that the work has been completed for a certain period, while a negative value indicates that the inspection time is earlier than the work order completion time (this usually does not occur, but may happen when data is abnormal).

[0102] S12. Perform difference processing between the first difference and the preset grace period for listing in the procedure to obtain the corresponding second difference.

[0103] The grace period for posting a work order signage refers to the safe buffer period (usually in hours) allowed after the work order is completed, based on the power distribution network operation procedures or safety management regulations. This is used to avoid misjudgments caused by system synchronization delays or work completion operations.

[0104] In this embodiment of the invention, the difference between the first difference and the preset grace period for listing is calculated to obtain the corresponding second difference.

[0105] S13. Ratio the second difference with the preset benchmark duration to obtain the corresponding initial listing coefficient.

[0106] The baseline duration refers to the time base value used for normalization processing. It is usually set to 1 hour to ensure that the ratio result is dimensionless in hours, so that the initial listing coefficient has a clear meaning of time multiple.

[0107] The initial listing coefficient refers to the ratio of the second difference to the base duration. It is a dimensionless value used to quantitatively characterize the degree of listing overdue (positive value indicates overdue, non-positive value indicates not overdue).

[0108] In this embodiment of the invention, the ratio between the second difference and the preset benchmark duration is calculated to obtain the corresponding initial listing coefficient.

[0109] S14. When the initial listing coefficient is greater than or equal to the preset benchmark listing validity coefficient, the initial listing coefficient is determined as the corresponding listing validity coefficient.

[0110] The benchmark listing validity coefficient refers to the threshold used to determine whether a listing has become invalid, and it is usually set to 0.

[0111] In this embodiment of the invention, the initial listing coefficient is compared with a preset benchmark listing validity coefficient. If the initial listing coefficient is greater than or equal to the benchmark listing validity coefficient, the initial listing coefficient is determined as the corresponding listing validity coefficient.

[0112] S15. When the initial listing coefficient is less than the benchmark listing validity coefficient, the benchmark listing validity coefficient shall be determined as the corresponding listing validity coefficient.

[0113] In this embodiment of the invention, when the initial listing coefficient is less than the benchmark listing validity coefficient, it indicates that the actual retention time of the listing has not exceeded the grace period of the regulations, the listing is still in a valid state, and there is no problem of expiration. The benchmark listing validity coefficient is then determined as the corresponding listing validity coefficient.

[0114] It should be noted that since the initial listing coefficient is negative, it is appropriate to use it directly as the validity coefficient. Therefore, the benchmark listing validity coefficient is determined as the corresponding listing validity coefficient. This approach not only unifies the non-negative value range of the listing validity coefficient but also clearly expresses the semantics of "the listing has not expired".

[0115] It is worth mentioning that by quantifying the interval after the work is completed based on the time difference between the inspection time and the work order completion time, and then deducting the grace period allowed by the procedure for posting, the problem of misjudging the validity of the posting caused by the delay in work completion and system data synchronization is avoided. Then, the dimensionless conversion is completed by using the benchmark duration to unify the measurement standard of the degree of posting overdue under different work duration scenarios. Finally, the posting validity coefficient is determined by combining the benchmark posting validity coefficient. This can accurately quantify the posting overdue status, realize the standardized automatic judgment of posting validity, get rid of the drawbacks of manual rough estimation, ensure that the posting timeliness verification conforms to the on-site operation and maintenance specifications, and improve the objectivity and accuracy of the coefficient calculation results.

[0116] Step 202: Perform multi-dimensional verification based on the running data to obtain the corresponding verification data.

[0117] Furthermore, the operational data includes live-line working duration, reclosing and switching duration set in the work order, number of section switches, number of disconnectors with incorrect setting, loop closing time, planned loop closing period, overdue duration of abnormal work orders, and work order completion deadline. Step 202 includes the following sub-steps:

[0118] S21. The reclosing switching time set in the work order is compared with the pre-acquired reclosing switching time to obtain the corresponding third difference.

[0119] The reclosing operation time set in the work order refers to the expected duration specified in the live-line work or maintenance work order, which requires the reclosing to be taken out (or put into operation), and the unit is hours.

[0120] The reclosing switching time refers to the continuous duration of the line reclosing in the actual on / off state, as collected in real time from the distribution SCADA system, and is measured in hours.

[0121] In this embodiment of the invention, the difference between the reclosing switching time set in the work order and the pre-acquired reclosing switching time is calculated to obtain the corresponding third difference. The third difference reflects the deviation between the actual switching behavior and the requirements specified in the work order: a positive third difference indicates that the actual switching time is less than the time specified in the work order, i.e., the reclosing action is premature; a negative third difference indicates that the actual switching time is greater than the time specified in the work order, i.e., the action is delayed; the larger the absolute value, the more severe the deviation.

[0122] S22. Ratio the absolute value of the third difference with the duration of live-line work to obtain the corresponding first ratio.

[0123] The duration of live-line work refers to the actual duration of live-line work on a certain distribution network line on a given day (units are the same as above), which is used as the normalization denominator to make the first ratio dimensionless.

[0124] In this embodiment of the invention, the ratio between the absolute value of the third difference and the duration of the live-line operation is calculated to obtain the corresponding first ratio. The first ratio reflects the proportion of the actual reclosing deviation to the total duration of the live-line operation; a larger ratio indicates a more severe deviation, while a smaller ratio indicates a closer match between the reclosing timing and the work order requirements.

[0125] S23. The preset reclosing matching benchmark value and the first ratio are processed by difference to obtain the corresponding reclosing matching coefficient.

[0126] The reclosing matching benchmark value refers to the theoretical maximum matching score when the reclosing switching is completely consistent with the work order requirements. It is usually taken as 1.

[0127] It should be noted that the reclosing matching coefficient reflects the overall degree of matching between the actual reclosing operation and the work order requirements.

[0128] In this embodiment of the invention, the difference between a preset reclosing matching benchmark value and a first ratio is calculated to obtain the corresponding reclosing matching coefficient.

[0129] S24. Ratio the number of disconnectors with incorrect setting to the number of switches in the section to obtain the corresponding switch disconnector state coefficient.

[0130] The number of disconnectors with incorrect setting refers to the total number of disconnectors whose actual remote signaling status (open / closed) is inconsistent with the status required by the dispatching instructions or work orders within the current inspection cycle.

[0131] The number of switches in a section refers to the total number of all switching equipment (including circuit breakers, disconnectors, load switches, etc.) contained within a specific line section.

[0132] The switch state coefficient refers to the ratio of the number of switch malfunctions to the number of switches in the section. The value ranges from 0 to 1 and is used to quantify the severity of switch malfunctions.

[0133] In this embodiment of the invention, the ratio between the number of incorrectly positioned disconnectors and the number of switches in the section is calculated to obtain the corresponding disconnector status coefficient. A larger disconnector status coefficient indicates more incorrectly positioned devices, requiring closer attention.

[0134] S25. When the loop closure time falls within the planned loop closure period, the preset first compliance coefficient is determined as the ring network operation compliance coefficient.

[0135] The loop closing moment refers to the specific point in time when the actual loop closing operation of the distribution network line occurs.

[0136] The planned loop closure period refers to the time interval in the dispatching procedures or work plan that is pre-approved and allows the line to perform loop closure operation, including the start time and end time, such as [22:00, 06:00].

[0137] The first compliance coefficient refers to the compliance coefficient value assigned to the ring network operation when the loop closure time is within the planned loop closure period. It is usually preset to 1, indicating compliance.

[0138] In this embodiment of the invention, it is determined whether the loop closure time is within the planned loop closure period. If the loop closure time is between the start and end times (including the boundary) of the planned loop closure period, it is determined that the ring network operation behavior complies with the scheduling procedure requirements, and the preset first compliance coefficient is determined as the ring network operation compliance coefficient.

[0139] S26. When the loop closure time is not within the planned loop closure period, the preset second compliance coefficient is determined as the ring network operation compliance coefficient.

[0140] The second compliance coefficient refers to the compliance coefficient value assigned to the ring network operation when the closing time is outside the planned closing time period. It is usually preset to 0, indicating non-compliance.

[0141] In this embodiment of the invention, when the loop closing time is not within the planned loop closing period, the actual loop closing operation occurs outside the planned allowed time window, and it is determined that the ring network operation behavior violates the scheduling procedure. The preset second compliance coefficient is then determined as the ring network operation compliance coefficient.

[0142] S27. Input the overdue duration and completion time of the abnormal work order into the preset abnormal work order retention function to obtain the corresponding abnormal work order retention coefficient.

[0143] The overdue period of an abnormal work order refers to the length of time, in hours, that exceeds the specified completion time limit of the work order from the time the abnormal work order is generated by the automation system to the current inspection time.

[0144] The work order completion time limit refers to the maximum allowable time from the generation of each automated abnormal work order to the point where it must be closed-loop processed, in hours.

[0145] The abnormal work order retention coefficient is an indicator that quantifies the degree of overdue retention of abnormal work orders. The value ranges from 0 to 1, and the larger the value, the more serious the overdue situation.

[0146] In this embodiment of the invention, the overdue duration of abnormal work orders and the completion time limit of work orders are input into a preset abnormal work order retention function. The ratio obtained by dividing the overdue duration of abnormal work orders by the completion time limit of work orders is calculated, and the ratio is truncated to the interval [0,1] to obtain the corresponding abnormal work order retention coefficient.

[0147] It should be noted that the specific function for delaying abnormal work orders is as follows:

[0148] ;

[0149] in, This is the abnormal work order retention coefficient. The overdue period for abnormal work orders. This refers to the time limit for completing a work order.

[0150] S28. The reclosing matching coefficient, switch and disconnector status coefficient, ring network operation compliance coefficient, and abnormal work order retention coefficient are used as the corresponding verification data.

[0151] In this embodiment of the invention, the reclosing matching coefficient, the switch and disconnector status coefficient, the ring network operation compliance coefficient, and the abnormal work order retention coefficient are combined together to form the corresponding verification data.

[0152] It is worth mentioning that by breaking down the accounting indicators into four key dimensions—reclosing switching matching, switch and disconnector equipment status, ring network operation sequence, and abnormal work order management—and quantifying various operational deviations based on actual work order operation data, the system completes standardized calculations of each coefficient through ratios, segmented assignments, and function operations. On the one hand, it uses the duration of live-line work, the total number of switches, and the work order completion deadline as normalization benchmarks to eliminate data volume differences between different lines and work conditions, making various verification indicators horizontally comparable. On the other hand, it distinguishes between two accounting modes: quantitative measurement and time-based determination, accurately quantifying reclosing action deviations, equipment error rates, and work order overdue degrees, intuitively distinguishing whether ring network operations are compliant. The multi-dimensional verification data comprehensively covers the core risk points of distribution network operation and maintenance, replacing manual item-by-item review of ledgers, improving verification efficiency and calculation accuracy, and providing quantitative and objective data support for subsequent distribution network health assessments.

[0153] Step 203: Conduct a health assessment based on the verification data and the validity coefficient of the plaque to obtain the corresponding health assessment value.

[0154] Furthermore, step 203 includes the following sub-steps:

[0155] S31. The preset health benchmark value is compared with the switch status coefficient, the ring network operation compliance coefficient and the abnormal work order retention coefficient to obtain the corresponding fourth difference, fifth difference and sixth difference.

[0156] The health baseline value refers to the preset theoretical maximum health score, which is usually set to 1.

[0157] The fourth difference refers to the difference between the health baseline value and the switch / disconnector status coefficient, reflecting the health contribution of the switch / disconnector dimension.

[0158] The fifth difference refers to the difference between the health baseline value and the ring network operation compliance coefficient, reflecting the health contribution of the ring network operation dimension.

[0159] The sixth difference refers to the difference between the health baseline value and the abnormal work order retention coefficient, which reflects the health contribution of the abnormal work order handling dimension.

[0160] In this embodiment of the invention, a fourth difference value is obtained by performing difference processing between the preset health benchmark value and the switch / disconnector status coefficient. A fifth difference value is obtained by performing difference processing between the health benchmark value and the ring network operation compliance coefficient. A sixth difference value is obtained by performing difference processing between the health benchmark value and the abnormal work order retention coefficient.

[0161] S32. Based on the preset health weights, perform a weighted calculation on the listing validity coefficient, the fourth difference, the fifth difference, and the sixth difference to obtain the corresponding health assessment value.

[0162] In this embodiment of the invention, based on preset health weights, the listing validity coefficient, the fourth difference, the fifth difference, and the sixth difference are weighted and calculated to obtain the corresponding health assessment value. The health assessment value directly reflects the overall operational health of the distribution network lines; a higher value indicates a healthier state, while a lower value indicates a significant risk.

[0163] It is worth mentioning that by calculating the health margin of each sub-indicator based on the health benchmark value, and converting it into a uniform difference parameter, the health assessment value is obtained by combining the health weight with the effectiveness coefficient of the listing and various operational indicators. This not only quantifies the impact of each potential fault on the overall operation of the distribution network, but also distinguishes the risk priority of different indicators based on weights, taking into account the listing timeliness and multiple operational factors such as equipment, ring network, and work orders, achieving a comprehensive quantitative evaluation. The assessment results are objectively quantified, eliminating the defects of subjective scoring by humans, and accurately reflecting the overall health level of the distribution network.

[0164] Step 204: Generate the corresponding operational status verification results using health assessment values, plaque validity coefficients, and verification data.

[0165] Further, step 204 includes the following sub-steps:

[0166] S41. When the validity coefficient of the listing is greater than the preset benchmark validity coefficient, the operation status verification result is determined as the listing failure.

[0167] In this embodiment of the invention, when the validity coefficient of the listing is greater than the preset benchmark validity coefficient, it indicates that the listing has exceeded the grace period of the procedure and is in an expired state. At this time, there is no need to classify according to the health assessment value, and the operation status verification result is determined as the listing failure.

[0168] S42. When the listing validity coefficient is less than or equal to the benchmark listing validity coefficient, the health assessment value is used to retrieve the preset risk classification list and match the corresponding risk classification judgment result.

[0169] A risk grading list is a pre-defined mapping table between health assessment values ​​and risk levels.

[0170] In this embodiment of the invention, when the listing validity coefficient is less than or equal to the benchmark listing validity coefficient (i.e., the listing is valid and has not expired), a preset risk classification list is retrieved using the health assessment value, and the corresponding risk classification judgment result is matched. For example, a health assessment value greater than or equal to 80 corresponds to the "normal" level, greater than or equal to 60 and less than 80 corresponds to the "attention" level, and less than 60 corresponds to the "severely abnormal" level.

[0171] In another embodiment, when the listing validity coefficient is less than or equal to the benchmark listing validity coefficient, the health assessment value is input into a preset risk grading function to obtain the corresponding risk grading judgment result.

[0172] It should be noted that the risk grading function is as follows:

[0173] ;

[0174] S43. Use the risk classification results and verification data, and the listing validity coefficient to generate the corresponding operation status verification results.

[0175] In this embodiment of the invention, the risk classification judgment results, verification data, and listing validity coefficient are linked and integrated to generate a complete operation status verification result.

[0176] It is worth mentioning that a hierarchical judgment logic is adopted, prioritizing the verification of the listing validity. If a listing expires, an early warning is issued to prevent safety hazards caused by oversights. Once the listing is compliant, a pre-set risk classification list is retrieved using health assessment values, and the corresponding risk classification results are matched to achieve refined anomaly classification. Then, the risk classification results, verification data, and listing validity coefficients are used to generate corresponding operational status verification results. This highlights urgent risks such as expired listings while also providing hierarchical control over routine operational risks, facilitating maintenance personnel to handle risks according to their severity and enabling intelligent and hierarchical assessment of distribution network risks.

[0177] Step 205: Load the running status verification results into the feedback component in the power grid verification page.

[0178] The power grid verification page refers to the user interface used to display the verification results of the distribution network operation status, which usually includes tables, charts and alarm areas.

[0179] Feedback components refer to reusable interface elements in the power grid verification page that are responsible for carrying and displaying the verification results, such as data cards, table rows, or alarm bars, and support dynamic data binding.

[0180] In this embodiment of the invention, the operational status verification results are loaded as data objects into a predefined feedback component within the power grid verification page. This feedback component, as an interface element on the power grid verification page responsible for receiving and displaying the verification results, can dynamically bind incoming data, including risk levels, various verification coefficients, and listing validity coefficients. Through the data loading operation, the operational status verification results are passed from the system's logic layer to the page presentation layer.

[0181] Step 206: Render the feedback component to generate a power grid verification page containing the running status verification results.

[0182] In this embodiment of the invention, after loading the operation status verification results into the feedback component, the front-end rendering engine is called to render the feedback component, and the data fields in the operation status verification results (such as risk level, reclosing matching coefficient, switch status coefficient, ring network operation compliance coefficient, abnormal work order retention coefficient, and listing validity coefficient, etc.) are dynamically bound to the visualization elements of the feedback component to generate a power grid verification page containing complete verification results.

[0183] It should be noted that a front-end rendering engine refers to a software module responsible for combining data with page templates and generating a user-visible interface, such as a view layer framework based on Vue or React.

[0184] It is worth mentioning that by using component loading and page rendering to display the data, the verification data can be standardized and bound to the front-end feedback component, enabling automatic and visual presentation of the verification results without the need for manual data entry. Data is displayed synchronously in real time, with various risks and coefficient indicators centrally summarized on the power grid verification page. This allows dispatchers to intuitively view the distribution network operation status, reducing information retrieval time and improving on-site operation and maintenance efficiency.

[0185] It is worth mentioning that once the power grid verification page receives operational data, it automatically performs tag validity verification, transforming manual item-by-item checking into a quantitative and automated calculation process, significantly improving inspection efficiency and accuracy. Through multi-dimensional verification, it simultaneously covers core dimensions such as reclosing matching, switch and disconnector status, ring network operation compliance, and abnormal work order delays, breaking the limitations of incomplete coverage and easy omissions in manual inspections, achieving comprehensive equipment coverage and multi-source data linkage comparison. Furthermore, by integrating tag validity coefficients with various verification coefficients for health assessment, it maps multi-dimensional heterogeneous data into unified and intuitive health assessment values, providing quantifiable decision-making basis for risk classification. Finally, it generates structured operational status verification results and displays them in real time on the power grid verification page, enabling dispatchers to clearly understand the health status and anomaly types of lines at night. Overall, this solution completely replaces the traditional manual night-time duty mode, achieving timed automatic triggering, fully automatic verification, early risk identification, and intuitive result presentation, significantly improving the intelligence level, safety control capabilities, and power supply reliability of distribution network operation and management.

[0186] In this embodiment of the invention, when the power grid verification page receives operational data, it verifies the timeliness of the tagging process to obtain the corresponding tagging validity coefficient. Multi-dimensional verification is then performed based on the operational data to obtain corresponding verification data. A health assessment is conducted based on the verification data and the tagging validity coefficient to obtain the corresponding health assessment value. The health assessment value, tagging validity coefficient, and verification data are then used to generate the corresponding operational status verification result, which is displayed on the power grid verification page. This overcomes the technical problem that the daily operation and management of distribution networks mainly relies on manual methods, which not only results in a heavy workload but also has a significant lag in risk identification, often only becoming apparent after problems worsen or accidents occur. This lack of pre-emptive warning and proactive prevention capabilities reduces the reliability of distribution network operation. Compared with traditional methods for verifying the operational status of distribution networks, this invention quantifies the validity of operational data by labeling it, and combines multi-dimensional verification such as reclosing matching, switch status, ring network operation compliance, and abnormal work order delays. It then calculates a health assessment value reflecting the overall health of the lines, using the health assessment value, label validity coefficient, and verification data to generate corresponding operational status verification results, which are displayed on the power grid verification page. This significantly improves inspection efficiency and data coverage, eliminating human error and operational oversight. Through the joint determination of the health assessment value and label validity coefficient, it achieves pre-emptive risk identification and tiered early warning, significantly enhancing the safety control capabilities of the distribution network during nighttime and non-working hours, thereby improving the reliability of distribution network operation.

[0187] Please see Figure 3 , Figure 3 This is a structural block diagram of a power distribution network operation status verification system provided in Embodiment 3 of the present invention.

[0188] This invention provides a power distribution network operation status verification system, comprising:

[0189] The response module 301 is used to perform a timeliness verification of the listing data when the power grid verification page receives the operation data, and obtain the corresponding listing validity coefficient.

[0190] Verification module 302 is used to perform multi-dimensional verification based on the running data to obtain the corresponding verification data;

[0191] The assessment module 303 is used to conduct a health assessment based on the verification data and the validity coefficient of the plaque, and obtain the corresponding health assessment value.

[0192] The display module 304 is used to generate corresponding operation status verification results using health assessment values, listing validity coefficients and verification data, and display the operation status verification results on the power grid verification page.

[0193] Furthermore, the response module 301 includes:

[0194] The tag coefficient determination submodule is used to perform difference processing between the pre-acquired inspection time and the work order completion time in the operation data to obtain the corresponding first difference.

[0195] The first difference is compared with the preset grace period for listing in the procedure to obtain the corresponding second difference;

[0196] The second difference is compared with the preset benchmark duration to obtain the corresponding initial listing coefficient.

[0197] The listing validity coefficient determination submodule is used to determine the initial listing coefficient as the corresponding listing validity coefficient when the initial listing coefficient is greater than or equal to the preset benchmark listing validity coefficient.

[0198] When the initial listing coefficient is less than the benchmark listing validity coefficient, the benchmark listing validity coefficient is determined as the corresponding listing validity coefficient.

[0199] Furthermore, the operational data includes live-line working duration, reclosing and switching duration set in the work order, number of switches in the section, number of disconnectors with incorrect setting, loop closing time, planned loop closing period, overdue duration of abnormal work orders, and work order completion deadline. Verification module 302 includes:

[0200] The reclosing matching coefficient determination submodule is used to perform difference processing between the reclosing switching time set in the work order and the pre-obtained reclosing switching time to obtain the corresponding third difference value.

[0201] The absolute value of the third difference is compared with the duration of live-line work to obtain the corresponding first ratio.

[0202] The difference between the preset reclosing matching benchmark value and the first ratio is processed to obtain the corresponding reclosing matching coefficient.

[0203] The switch and disconnector status coefficient determination submodule is used to process the ratio of the number of disconnectors with incorrect setting to the number of switches in the section to obtain the corresponding switch and disconnector status coefficient.

[0204] The ring network operation compliance coefficient determination submodule is used to determine the preset first compliance coefficient as the ring network operation compliance coefficient when the ring closure time is within the planned ring closure period.

[0205] When the loop closure time is not within the planned loop closure period, the preset second compliance coefficient will be determined as the ring network operation compliance coefficient.

[0206] The regular work order retention coefficient determination submodule is used to input the overdue duration and completion time of abnormal work orders into a preset abnormal work order retention function to obtain the corresponding abnormal work order retention coefficient.

[0207] The reclosing matching coefficient, switch status coefficient, ring network operation compliance coefficient, and abnormal work order retention coefficient are used as the corresponding verification data.

[0208] Furthermore, the evaluation module 303 includes:

[0209] The difference submodule is used to perform difference processing on the preset health benchmark value with the switch status coefficient, the ring network operation compliance coefficient and the abnormal work order retention coefficient to obtain the corresponding fourth difference, fifth difference and sixth difference;

[0210] The weighted submodule is used to perform weighted calculations on the listing validity coefficient, the fourth difference, the fifth difference, and the sixth difference based on preset health weights to obtain the corresponding health assessment value.

[0211] Furthermore, module 304 includes:

[0212] The first analysis submodule is used to determine the listing failure result when the listing validity coefficient is greater than the preset benchmark listing validity coefficient.

[0213] The second analysis submodule is used to retrieve a preset risk classification list using health assessment values ​​and match the corresponding risk classification judgment results when the listing validity coefficient is less than or equal to the benchmark listing validity coefficient.

[0214] The corresponding operational status verification results are generated using the risk classification results, verification data, and listing validity coefficient.

[0215] Furthermore, display module 304 also includes:

[0216] The loading submodule is used to load the running status verification results into the feedback component within the power grid verification page;

[0217] The rendering submodule is used to render the feedback component and generate a power grid verification page that includes the results of the running status verification.

[0218] Please see Figure 4 , Figure 4 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention.

[0219] 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 distribution network operation status verification method as described in any of the above embodiments.

[0220] 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 may 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 may 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 these codes are run by a computing device, they cause the computing device to perform the various steps in the power distribution network operation status verification method described above.

[0221] 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 distribution network operation status verification method as described in any of the above embodiments.

[0222] 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 distribution network operation status verification method as described in any of the above embodiments.

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] 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 verifying the operating status of a power distribution network, characterized in that, include: When the power grid verification page receives the operation data, it performs a timeliness verification on the operation data to obtain the corresponding validity coefficient of the listing. Based on the operational data, multi-dimensional verification is performed to obtain the corresponding verification data; A health assessment is conducted based on the verification data and the validity coefficient of the listing to obtain the corresponding health assessment value. The corresponding operation status verification results are generated using the health assessment value, the listing validity coefficient, and the verification data, and the operation status verification results are displayed on the power grid verification page.

2. The method for verifying the operating status of a power distribution network according to claim 1, characterized in that, The step of verifying the listing timeliness of the operational data to obtain the corresponding listing validity coefficient includes: The difference between the pre-acquired inspection time and the work order completion time in the operation data is processed to obtain the corresponding first difference. The first difference is compared with the preset grace period for listing in the procedure to obtain the corresponding second difference; The second difference is compared with the preset benchmark duration to obtain the corresponding initial listing coefficient; When the initial listing coefficient is greater than or equal to the preset benchmark listing validity coefficient, the initial listing coefficient is determined as the corresponding listing validity coefficient. When the initial listing coefficient is less than the benchmark listing validity coefficient, the benchmark listing validity coefficient is determined as the corresponding listing validity coefficient.

3. The method for verifying the operating status of a distribution network according to claim 1, characterized in that, The operational data includes live-line working duration, reclosing and switching duration set in the work order, number of section switches, number of disconnectors with incorrect setting, loop closing time, planned loop closing period, overdue duration of abnormal work orders, and work order completion deadline. The step of performing multi-dimensional verification based on the operational data to obtain corresponding verification data includes: The difference between the reclosing switching time set in the work order and the pre-acquired reclosing switching time is processed to obtain the corresponding third difference. The absolute value of the third difference is compared with the duration of the live-line operation to obtain the corresponding first ratio. The difference between the preset reclosing matching benchmark value and the first ratio is processed to obtain the corresponding reclosing matching coefficient. The ratio of the number of incorrectly set disconnectors to the number of switches in the section is used to obtain the corresponding switch disconnector state coefficient. When the loop closure time falls within the planned loop closure period, the preset first compliance coefficient is determined as the ring network operation compliance coefficient. When the loop closure time is not within the planned loop closure period, the preset second compliance coefficient is determined as the ring network operation compliance coefficient; Input the overdue duration of the abnormal work order and the completion time limit of the work order into a preset abnormal work order retention function to obtain the corresponding abnormal work order retention coefficient. The reclosing matching coefficient, the switch and disconnector status coefficient, the ring network operation compliance coefficient, and the abnormal work order retention coefficient are used as the corresponding verification data.

4. The method for verifying the operating status of a distribution network according to claim 3, characterized in that, The step of conducting a health assessment based on the verification data and the validity coefficient of the listing to obtain the corresponding health assessment value includes: The preset health benchmark value is compared with the switch status coefficient, the ring network operation compliance coefficient and the abnormal work order retention coefficient to obtain the corresponding fourth difference, fifth difference and sixth difference. Based on preset health weights, the validity coefficient of the listing, the fourth difference, the fifth difference, and the sixth difference are weighted and calculated to obtain the corresponding health assessment value.

5. The method for verifying the operating status of a power distribution network according to claim 1, characterized in that, The step of generating corresponding operational status verification results using the health assessment value, the listing validity coefficient, and the verification data includes: When the validity coefficient of the listing is greater than the preset benchmark validity coefficient, the operation status verification result is determined to be that the listing is invalid. When the listing validity coefficient is less than or equal to the benchmark listing validity coefficient, the health assessment value is used to retrieve the preset risk classification list and match the corresponding risk classification judgment result. The corresponding operational status verification results are generated using the risk classification results, the verification data, and the listing validity coefficient.

6. The method for verifying the operating status of a distribution network according to claim 1, characterized in that, The step of displaying the operating status verification results on the power grid verification page includes: The operational status verification results are loaded into the feedback component within the power grid verification page; The feedback component is rendered to generate a power grid verification page containing the operation status verification results.

7. A power distribution network operation status verification system, characterized in that, include: The response module is used to verify the listing timeliness of the running data when the power grid verification page receives the running data, and obtain the corresponding listing validity coefficient. The verification module is used to perform multi-dimensional verification based on the running data to obtain the corresponding verification data; The assessment module is used to conduct a health assessment based on the verification data and the validity coefficient of the listing, and obtain the corresponding health assessment value. The display module is used to generate corresponding operation status verification results using the health assessment value, the listing validity coefficient, and the verification data, and to display the operation status verification results on the power grid verification page.

8. An electronic device, characterized in that, The system includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the power distribution network operation status verification 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 distribution network operation status verification 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 distribution network operation status verification method as described in any one of claims 1-6.

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