Reliability analysis management system, method, storage medium and electronic equipment

Abstract

The present invention relates to a field of data analysis technology, and is a reliability analysis management system, method, storage medium and electronic equipment, the former comprising: a data acquisition unit; a ledger management unit; an operation event management unit, which determines power outage events and non-power outage events, and performs event analysis; an indicator management unit, which determines statistical targets, performs indicator statistics and indicator analysis on the statistical targets; and a result generation unit. The present invention completes the online submission, storage and processing of various types of business operation basic data through linkage with the existing power grid system through the data acquisition unit, and then automatically completes the multi-level management, statistics and analysis of the business operation basic data through the ledger management unit, the operation event management unit and the indicator management unit in turn, without excessive manual intervention, reducing the ability requirements for staff, and has rich processing functions, providing stable support for power supply reliability supervision.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and is a reliability analysis management system, method, storage medium and electronic equipment. Background Art

[0002] In recent years, with the vigorous development of technologies such as smart grids and the power Internet of Things, the level of automation and informatization of power production and operation has been increasing. Large power companies have seized the opportunity and have successively carried out large-scale upgrades and renovations on the power reliability management information system, realizing automatic data collection, process integration and centralized deployment. Relatively speaking, due to the long development period and the annual increase in data volume, the construction of the old version of the power supply and service reliability management information system is seriously lagging behind, and there is a large gap with management needs. Data reporting mainly adopts manual import, and timeliness, integrity and authenticity cannot be effectively guaranteed; most of the relevant data and indicators cannot be obtained, and it is impossible to provide a complete data statistical analysis function. Too much human intervention is required, resulting in the absence of power reliability management in the jurisdiction. The system analysis and prediction function is weak and cannot meet the needs of management work. Summary of the invention

[0003] The present invention provides a reliability analysis management system, method, storage medium and electronic device, which overcome the deficiencies of the above-mentioned prior art and can effectively solve the problems existing in the reliability analysis of the existing power grid, that is, data reporting mainly adopts manual import, and the analysis process has many human interventions, resulting in easy errors and low efficiency.

[0004] One of the technical solutions of the present invention is achieved by the following measures: a reliability analysis management system, comprising:

[0005] Data acquisition unit, to acquire standardized basic business operation data;

[0006] The ledger management unit updates the ledger based on the acquired basic business operation data;

[0007] The operation event management unit classifies operation events according to the ledger content and basic business operation data, determines power outage events and non-power outage events, and conducts event analysis;

[0008] The indicator management unit determines the statistical targets, and performs indicator statistics and indicator analysis on the statistical targets. The indicator analysis includes power supply reliability analysis, line equipment and facilities analysis, and personnel maintenance efficiency analysis;

[0009] The result generation unit generates corresponding statements and reports based on the event analysis structure and indicator analysis results.

[0010] The following are further optimizations and / or improvements to the above technical solutions:

[0011] The above-mentioned indicator management unit includes an indicator statistics module and an indicator analysis module;

[0012] The indicator statistics module sets various indicators that need to be counted, and performs indicator statistics on the basic business operation data and corresponding power outage events that meet the statistical caliber within the statistical target. The indicator statistics module includes a medium-voltage indicator statistics submodule, a high-voltage indicator statistics submodule, and a basic data summary statistics submodule;

[0013] Index analysis module: after the index statistics are completed, the index analysis is carried out on the index statistics results. The index analysis includes power supply reliability analysis, line equipment and facilities analysis and personnel maintenance efficiency analysis. The index analysis module includes medium voltage power outage cause analysis submodule, high voltage power outage cause analysis submodule, medium voltage index comparison analysis submodule, high voltage index comparison analysis submodule, medium voltage power outage line analysis submodule, medium voltage repeated power outage analysis submodule, high voltage repeated power outage analysis submodule, medium voltage power outage impact distribution analysis submodule, major event day analysis submodule, medium voltage power outage time and number analysis submodule, medium voltage line insulation rate and cable rate analysis submodule and medium voltage equipment and technical cause correlation analysis submodule.

[0014] The above-mentioned operation event management unit includes a power outage event management module and a non-power outage event management module;

[0015] The power outage event management module sets power outage event management items, classifies power outage events, and manages power outage events according to the power outage event management items;

[0016] The non-power outage event management module sets non-power outage event management items, classifies non-power outage events, and manages non-power outage events according to the non-power outage event management items.

[0017] The above-mentioned ledger management unit includes a ledger data capture module and a ledger update module;

[0018] The ledger data capture module captures the required data from the basic data of business operations according to the needs of various ledgers;

[0019] The ledger update module uses the captured data to update various ledgers.

[0020] The above-mentioned data acquisition unit includes a data acquisition module and a data checking module;

[0021] The data acquisition module is provided with an algorithm optimization strategy and an index strategy, and uses the algorithm optimization strategy and the index strategy to acquire basic business operation data in the existing power grid system;

[0022] The data checking module processes the basic business operation data, determines the accuracy and completeness of the basic business operation data, and obtains standardized basic business operation data.

[0023] The above also includes a code management unit and a security management unit;

[0024] The code management unit manages the codes corresponding to various functions of the system and completes the maintenance and modification of the codes;

[0025] The security management unit performs various security management on the system, including user management, functional authority management, data access authority management, and backup and recovery management.

[0026] The second technical solution of the present invention is achieved by the following measures: a reliability analysis management method, comprising:

[0027] Obtain standardized basic data on business operations;

[0028] Update the ledger based on the acquired basic business operation data;

[0029] Classify operation events according to the ledger content and basic business operation data, identify power outage events and non-power outage events, and conduct event analysis;

[0030] Determine statistical targets, and conduct indicator statistics and indicator analysis on statistical targets. The indicator analysis includes power supply reliability analysis, line equipment and facilities analysis, and personnel maintenance efficiency analysis;

[0031] The result generation unit generates corresponding statements and reports based on the event analysis structure and indicator analysis results.

[0032] The present invention completes the online submission, storage, and processing of various types of business operation basic data through linkage with the existing power grid system through the data acquisition unit, thereby obtaining standardized business operation basic data, and then automatically completes the multi-level management, statistics, and analysis of the business operation basic data through the ledger management unit, the operation event management unit, and the indicator management unit. It effectively avoids the error-prone problems of existing manual input, and in the process of multi-level management, statistics, and analysis of business operation basic data, there is no need for excessive manual intervention, which reduces the ability requirements for staff, and has rich processing functions, providing stable support for power supply reliability supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Attached Figure 1 Schematic diagram of the system architecture of Embodiment 1 of the present invention.

[0034] Attached Figure 2 This is a schematic diagram of the system architecture of Example 2 of the present invention. DETAILED DESCRIPTION

[0035] The present invention is not limited by the following embodiments, and specific implementation methods can be determined based on the technical solution of the present invention and actual conditions.

[0036] The present invention will be further described below in conjunction with embodiments and drawings:

[0037] Embodiment 1: As attached Figure 1 As shown, this embodiment discloses a reliability analysis management system, including:

[0038] Data acquisition unit, to acquire standardized basic business operation data;

[0039] The ledger management unit updates the ledger based on the acquired basic business operation data;

[0040] The operation event management unit classifies operation events according to the ledger content and basic business operation data, determines power outage events and non-power outage events, and conducts event analysis;

[0041] The indicator management unit determines the statistical targets, and performs indicator statistics and indicator analysis on the statistical targets. The indicator analysis includes power supply reliability analysis, line equipment and facilities analysis, and personnel maintenance efficiency analysis;

[0042] The result generation unit generates corresponding statements and reports based on the event analysis structure and indicator analysis results.

[0043] The embodiment of the present invention discloses a reliability analysis management system, which completes the online submission, storage and processing of various business operation basic data through the linkage of the data acquisition unit and the existing power grid system, thereby obtaining standardized business operation basic data, and then automatically completes the multi-level management, statistics and analysis of the business operation basic data through the ledger management unit, the operation event management unit and the indicator management unit in sequence. It effectively avoids the error-prone problems of existing manual input, and in the process of multi-level management, statistics and analysis of business operation basic data, there is no need for excessive manual intervention, which reduces the ability requirements for staff, and has rich processing functions, providing stable support for power supply reliability supervision.

[0044] Embodiment 2: As attached Figure 2 As shown, this embodiment discloses a reliability analysis management system, including:

[0045] The data acquisition unit acquires standardized basic business operation data.

[0046] Specifically, it includes a data acquisition module and a data inspection module, among which:

[0047] The data acquisition module is provided with an algorithm optimization strategy and an index strategy, and uses the algorithm optimization strategy and the index strategy to acquire basic business operation data in the existing power grid system; the data acquisition module acquires basic business operation data in the existing power grid system, and the existing power grid system includes a marketing system, a power supply command system, a GIS system, etc.; the algorithm optimization strategy is an existing publicly known technology, and the data acquisition module uses the algorithm optimization strategy to reduce the data scale of a single table and improve data reading efficiency. The index strategy is set in a targeted manner according to the specific linked existing power grid system and the basic business operation data that needs to be acquired, thereby effectively reducing the data scanning scope.

[0048] The data inspection module processes the basic data of business operation, determines the accuracy and completeness of the basic data of business operation, and obtains standardized basic data of business operation. The data inspection module inspects and processes the basic data of business operation, checks the accuracy and completeness of the data, and associates and normalizes the same type of data to obtain standardized basic data of business operation.

[0049] The ledger management unit updates the ledger based on the acquired basic business operation data.

[0050] Specifically, it includes the ledger data capture module and the ledger update module, among which:

[0051] The ledger data capture module captures the required data from the basic data of business operations according to the needs of various ledgers;

[0052] The ledger update module uses the captured data to update various ledgers, including substation ledgers, medium voltage ledgers, medium voltage user ledgers, marketing distribution station ledgers, GIS distribution station ledgers, etc.

[0053] The operation event management unit classifies operation events according to the ledger content and basic business operation data, determines power outage events and no power outage events, and conducts event analysis.

[0054] Specifically, it includes a power outage event management module and a non-power outage event management module, among which:

[0055] The power outage event management module sets power outage event management items, classifies power outage events, and manages power outage events according to the power outage event management items; here, the power outage event management items are personalized according to the power grid assessment rules to meet management needs. The power outage event management items include the cause of responsibility, number of power outages, power outage equipment, power outage duration, etc.

[0056] The non-stop power event management module sets non-stop power event management items, classifies non-stop power events, and manages non-stop power events according to the non-stop power event management items. The non-stop power event management items are personalized according to the power grid assessment rules to meet management needs.

[0057] The indicator management unit determines the statistical targets and conducts indicator statistics and indicator analysis on the statistical targets. The indicator analysis includes power supply reliability analysis, line equipment and facilities analysis, and personnel maintenance efficiency analysis.

[0058] Specifically, it includes indicator statistics module and indicator analysis module, among which:

[0059] The indicator statistics module sets various indicators that need to be counted, and conducts indicator statistics on the basic business operation data and corresponding power outage events within the statistical target that meet the statistical caliber. The indicator statistics module includes a medium-voltage indicator statistics sub-module, a high-voltage indicator statistics sub-module, and a basic data summary statistics sub-module.

[0060] Here, the indicator statistics module sets various indicators that need to be counted, and the indicator type is set according to actual management needs. The embodiment of the present invention can be specifically:

[0061] Medium voltage indicator statistics submodule: The indicators that need to be counted are divided into four categories: monthly indicators, quarterly indicators, annual indicators, and comprehensive analysis indicators. The statistical conditions can be given by drop-down condition selection for month, quarter, and year respectively; for comprehensive analysis, the time period selection can be given, and the selection of responsibility reasons and technical reasons conditions can be added.

[0062] High-voltage indicator statistics submodule: complete high-voltage reliability indicator statistics based on the basic business operation data and corresponding power outage events within the selected time range; standard statistics are calculated in months, and non-standard statistics are calculated in days; the classification type of standard statistics is determined in the order of annual, quarterly, and monthly priority.

[0063] Basic data summary statistics submodule: basic data is summarized by time point, that is, on a certain day selected by the operator, all basic line segments and basic user data in operation should be included in the statistical scope; units at level 3 and above can only choose to summarize by unit, and cannot choose other summary methods.

[0064] Index analysis module: after the index statistics are completed, the index analysis is carried out on the index statistics results. The index analysis includes power supply reliability analysis, line equipment and facilities analysis and personnel maintenance efficiency analysis. The index analysis module includes medium voltage power outage cause analysis submodule, high voltage power outage cause analysis submodule, medium voltage index comparison analysis submodule, high voltage index comparison analysis submodule, medium voltage power outage line analysis submodule, medium voltage repeated power outage analysis submodule, high voltage repeated power outage analysis submodule, medium voltage power outage impact distribution analysis submodule, major event day analysis submodule, medium voltage power outage time and number analysis submodule, medium voltage line insulation rate and cable rate analysis submodule and medium voltage equipment and technical cause correlation analysis submodule.

[0065] Specific:

[0066] The medium voltage power outage cause analysis submodule is used to analyze the causes of medium voltage power outages. Specifically, the power outage causes of operating events can be analyzed according to equipment, technical reasons or responsibility reasons.

[0067] The high-voltage power outage cause analysis submodule is used to analyze the causes of high-voltage power outages. The high-voltage power outage cause analysis is basically the same as the medium-voltage power outage cause analysis, but the equipment causes and technical causes of the high-voltage cause analysis are wider.

[0068] The medium-voltage indicator comparison and analysis submodule has basically the same functional requirements as the medium-voltage indicator statistics submodule. The difference is that the comparison and analysis also calculates the indicators of the same year at the same time, and automatically calculates the changes in the year-on-year indicators, for example: the increase or decrease in the average power outage time of users.

[0069] The high-voltage index comparison and analysis submodule has basically the same functional requirements as the high-voltage index statistics submodule. The difference is that the comparison and analysis also calculates the indicators of the same year, and automatically calculates the changes of the same year indicators, such as the increase or decrease of the average power outage time of users.

[0070] The medium-voltage power outage line analysis submodule calculates indicators such as the power supply reliability rate of each dispatching line, the average power outage time for users, the average number of power outages for users, and the average duration of power outages by grouping the medium-voltage lines, in order to analyze the situation of weak lines.

[0071] The medium-voltage repeated power outage analysis submodule summarizes the repeated power outages within the unit by grouping by medium-voltage lines or by medium-voltage users, helping the power department to strengthen repeated power outage management.

[0072] The high-voltage repeated power outage analysis submodule helps the power department strengthen the repeated power outage management of large users by grouping them according to high-voltage users and summarizing the repeated power outages within the unit.

[0073] The medium-voltage power outage impact distribution analysis submodule is used to analyze the distribution of indicator values ​​such as the duration of power outages for users and the number of medium-voltage users during power outages, and to display distribution charts through reports.

[0074] The major event day analysis submodule groups users by day, calculates the average power outage time of users every day in the past three years, and then determines the major event day of a certain unit according to the calculation rules of the power supply regulations. Before calculation, data preprocessing can be done to ensure calculation efficiency. The calculation rules include:

[0075] According to the newly added definition of "major event day" in the "Power Supply System (User) Power Supply Reliability Evaluation Procedure - Part 1: General Principles", the calculation method and requirements of major event days are clarified as follows:

[0076] The user power supply reliability indicators published by power supply enterprises may include two calibers, one is the indicator that excludes the impact of major event days, and the other is the indicator that takes into account the impact of major event days. Activities or events occurring on major event days should be analyzed separately, and an analysis report should be submitted to the superior competent department; the calculation method for major event days is as follows: A major event day refers to the date when the medium-voltage user system average fault outage time index (SAIDI-F) is greater than the limit value TMED.

[0077] The limit value TMED should be calculated based on the city-level power supply enterprise (or municipality) and updated annually. The method for determining the limit value TMED includes:

[0078] (1) The daily SAIDI-F values ​​for the past three years were selected (power outages that spanned multiple days were counted as the day of the power outage) to form a data set;

[0079] (2) Eliminate cases where the SAIDI-F value is zero in the data set;

[0080] (3) Calculate the natural logarithm of each non-zero SAIDI-F value in the data set, and then calculate the mean (α) and standard deviation (β) of all natural logarithms;

[0081] (4) Calculate the limit value TMED = exp(α + 2.5 × β).

[0082] The medium voltage power outage time and frequency analysis submodule analyzes the time and frequency of power outage sections or user data according to the power outage time or power outage frequency.

[0083] The medium-voltage line insulation rate and cable rate analysis submodule divides the intervals of line grouping statistics according to the insulation rate and cable rate of the line, and finds the optimal reliability rate-effectiveness ratio of distribution network construction by comparing the changes in indicators of different rates.

[0084] The medium voltage equipment and technical reason correlation analysis submodule analyzes the operation data according to the combination of equipment and technical reasons.

[0085] In summary, the indicator analysis module conducts statistical analysis on medium and high voltage indicators in the specified area and time from different angles, and obtains corresponding statistical analysis based on the algorithm specified in the reliability regulations for the basic business operation data and corresponding outage event data within the statistical target that meet the statistical caliber. The indicator analysis mainly focuses on the power supply reliability rate - the ratio of the total number of hours of effective power supply time to users during the statistical period to the number of hours during the statistical period, analyzes the line equipment and facilities within the unit and the maintenance efficiency of personnel, etc., conducts statistical analysis on reliability indicators from multiple perspectives, and provides auxiliary analysis basis for production.

[0086] The result generation unit generates corresponding statements and reports based on the event analysis structure and indicator analysis results, including statement definition, statement generation, report definition, report generation, and indicator release.

[0087] The code management unit manages the codes corresponding to various functions of the system and completes the maintenance and modification of the codes;

[0088] The security management unit performs various security management on the system, including user management, function permission management, data access permission management, and backup and recovery management.

[0089] Embodiment 3, the embodiment of the present invention discloses a reliability analysis management method, including: S1, obtaining standardized business operation basic data; S2, updating the ledger according to the obtained business operation basic data; S3, classifying operation events according to the ledger content and the business operation basic data, determining power outage events and non-power outage events, and performing event analysis; S4, determining statistical targets, performing indicator statistics and indicator analysis on the statistical targets, the indicator analysis includes power supply reliability analysis, line equipment and facilities analysis and personnel maintenance efficiency analysis; S5, a result generation unit, combining the event analysis structure and the indicator analysis results, to generate corresponding statements and reports.

[0090] Embodiment 4, the storage medium stores a computer program that can be read by a computer, and the computer program is configured to execute the reliability analysis management method when running.

[0091] The above storage medium may include, but is not limited to: a USB flash drive, a read-only memory, a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0092] Embodiment 5, the electronic device includes a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the reliability analysis management method.

[0093] The electronic device mentioned above further includes a transmission device and an input / output device, wherein the transmission device and the input / output device are both connected to the processor.

[0094] The above technical features constitute the best embodiment of the present invention, which has strong adaptability and best implementation effect. Non-essential technical features can be added or reduced according to actual needs to meet the requirements of different situations.

Claims

1. A reliability analysis management system, characterized in that: include: Data acquisition unit, data acquisition module and data checking module; The data acquisition module is provided with an algorithm optimization strategy and an index strategy, and uses the algorithm optimization strategy and the index strategy to acquire basic business operation data in the existing power grid system; The data inspection module processes the basic data of business operation, determines the accuracy and completeness of the basic data of business operation, and obtains standardized basic data of business operation; The ledger management unit includes a ledger data capture module and a ledger update module; The ledger data capture module captures the required data from the basic data of business operations according to the needs of various ledgers; The ledger update module uses the captured data to update various ledgers; Operation event management unit, including power outage event management module and non-power outage event management module; The power outage event management module sets power outage event management items, classifies power outage events, and manages power outage events according to the power outage event management items; The non-stop power event management module sets non-stop power event management items, classifies non-stop power events, and manages non-stop power events according to the non-stop power event management items; Indicator management unit, including indicator statistics module and indicator analysis module; The indicator statistics module sets various indicators that need to be counted, and performs indicator statistics on the basic business operation data and corresponding power outage events that meet the statistical caliber within the statistical target. The indicator statistics module includes a medium-voltage indicator statistics submodule, a high-voltage indicator statistics submodule, and a basic data summary statistics submodule; Index analysis module: after the index statistics are completed, the index statistics results are analyzed. The index analysis includes power supply reliability analysis, line equipment and facilities analysis, and personnel maintenance efficiency analysis. The index analysis module includes a medium-voltage power outage cause analysis submodule, a high-voltage power outage cause analysis submodule, a medium-voltage index comparison analysis submodule, a high-voltage index comparison analysis submodule, a medium-voltage power outage line analysis submodule, a medium-voltage repeated power outage analysis submodule, a high-voltage repeated power outage analysis submodule, a medium-voltage power outage impact distribution analysis submodule, a major event day analysis submodule, a medium-voltage power outage time and number analysis submodule, a medium-voltage line insulation rate and cable rate analysis submodule, and a medium-voltage equipment and technical cause correlation analysis submodule; The result generation unit generates corresponding statements and reports based on the event analysis results and indicator analysis results.

2. The reliability analysis management system according to claim 1, characterized in that: Also includes a code management unit and a security management unit; The code management unit manages the codes corresponding to various functions of the system and completes the maintenance and modification of the codes; The security management unit performs various security management on the system, including user management, functional authority management, data access authority management, and backup and recovery management.

3. A reliability analysis management method applied to the system as claimed in claim 1 or 2, characterized in that: include: Use the data acquisition unit to acquire standardized basic business operation data; The operation event management unit account management unit updates the account based on the acquired business operation basic data; Classify operation events according to the ledger content and basic business operation data, identify power outage events and non-power outage events, and conduct event analysis; The indicator management unit determines the statistical targets, and performs indicator statistics and indicator analysis on the statistical targets. The indicator analysis includes power supply reliability analysis, line equipment and facility analysis, and personnel maintenance efficiency analysis; and generates corresponding statements and reports based on the event analysis results and indicator analysis results.

4. A storage medium, characterized in that: The storage medium stores a computer program that can be read by a computer, and the computer program is configured to execute the reliability analysis management method according to any one of claims 3 when running.

5. An electronic device, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the reliability analysis management method as claimed in any one of claims 3.

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