CN113537523A - Substation equipment state maintenance and decision-making assisting method - Google Patents

Substation equipment state maintenance and decision-making assisting method Download PDF

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CN113537523A
CN113537523A CN202110805545.XA CN202110805545A CN113537523A CN 113537523 A CN113537523 A CN 113537523A CN 202110805545 A CN202110805545 A CN 202110805545A CN 113537523 A CN113537523 A CN 113537523A
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齐帅
孙亮
孙换春
强强
刘芳
胡洛夫
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Yan'an Power Supply Branch Of Shaanxi Local Power Group Co ltd
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Abstract

The invention discloses a transformer equipment state maintenance and auxiliary decision method, which comprises the following steps: A. collecting equipment information; B. evaluating the equipment state; C. evaluating equipment risk; D. equipment fault diagnosis; E. making a maintenance strategy; F. carrying out maintenance work; G. comprehensive evaluation, the invention can replace manual experience to carry out equipment state evaluation, risk evaluation and fault diagnosis, ensure that the state evaluation is accurate and effective, the maintenance strategy is scientific and reasonable, and the invention assists production managers to make maintenance plans and generate maintenance strategies and maintenance schemes; the comprehensive analysis can be carried out on the equipment state, the overhaul quality, the overhaul efficiency, the economic benefit and the like from multiple angles, the transportation and inspection capacity is effectively improved, and the blindness work is reduced.

Description

Substation equipment state maintenance and decision-making assisting method
Technical Field
The invention relates to the technical field of substation equipment state maintenance, in particular to a substation equipment state maintenance and decision-making assisting method.
Background
The perfect transformer equipment maintenance system plays a vital role in finding equipment defects in advance, reducing accident probability and ensuring safe operation of a power grid. For many years, most substations governed by local power group limited companies in Shaanxi province, including Yangan power supply branch companies, still follow the traditional maintenance mode mainly comprising preventive periodic maintenance and post-fault maintenance. Although this maintenance mode plays an important role in ensuring safe and reliable operation of the power system of the group company in the last decades, with the development of power technology and the increase of the number of substations, the electrical equipment generally tends to have high parameters, large capacity and complexity, and higher requirements are put on the power system. The traditional overhaul mode and the traditional work management mode have the defects of high overhaul cost, low overhaul efficiency and the like, the requirements of a power system on reliability are difficult to meet, especially, the backward overhaul technology cannot be adapted to the current rapidly-developed power grid equipment, the further development of the Shaanxi power distribution network is prevented, and the improvement and the perfection are required.
The state maintenance of the equipment in foreign countries is earlier carried out. At the end of the 70's 20 th century, the american power science research institute (EPRI) studied and applied the state of health maintenance of power equipment, and developed to RCM. Japan was a state overhaul based on state analysis and on-line detection of electric power equipment from the 80 s of the 20 th century. In most countries in europe, the overhaul regime is being improved, and the direction is also the state overhaul. Up to now, computer network technology based equipment management, accident analysis and early warning systems have been commonly used in the united states, canada, and other countries. The software systems apply the latest computer technology to organically integrate state management, accident early warning and accident handling, thereby greatly improving the equipment supervision and management environment and improving the supervision and management level. At present, 90% of power plants and power grids in the United states apply the condition maintenance technology, and after condition maintenance is implemented, the overhaul interval of power plant units is prolonged from 4-6 years to 10-12 years, so that good economic benefits are obtained.
National grid companies and southern grid companies began research and exploration for equipment condition maintenance since the 90 s. In 2006, the national grid proposes a first proposal of 'accelerating the maintenance work in a propulsion state', and marks the comprehensive starting state maintenance work of the national grid company. Recently, relevant regulations and standards related to the state maintenance of the power transformation equipment are issued successively by national power grids and southern power grids, and the power transformation equipment is widely applied and made great progress in respective jurisdictions. By the end of 2012, state maintenance is comprehensively realized by national power grids, southern power grids and other local power companies, and the whole state maintenance is stepped into the state maintenance era.
Disclosure of Invention
The invention aims to provide a transformer equipment state maintenance and decision-making assisting method to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a transformer equipment state overhauling and auxiliary decision making method comprises the following steps:
A. collecting equipment information;
B. evaluating the equipment state;
C. evaluating equipment risk;
D. equipment fault diagnosis;
E. making a maintenance strategy;
F. carrying out maintenance work;
G. and (4) comprehensive evaluation.
Preferably, in the step a, the equipment is installed in an early stage, and the operation, the maintenance and the test data information are collected comprehensively.
Preferably, the equipment state evaluation in the step B mainly obtains the state information by the existing operation inspection, preventive periodic test, diagnostic test or live detection, online monitoring technical means according to the collected various equipment information, analyzes and evaluates the state quantity reflecting the health state of the equipment through a corresponding mathematical model, and finally determines the equipment state and the development trend.
Preferably, in the step C, the equipment risk assessment uses the equipment state evaluation result, and the risk value is used as an index, and the action risk values of the asset, the asset loss degree and the equipment failure probability are comprehensively considered, so as to clarify the equipment operation risk; after the equipment risk values are determined, the similar equipment is sorted according to the risk values and used as a decision basis for the state maintenance of the power transformation equipment.
Preferably, in the step D, the equipment fault diagnosis is performed on the equipment with a significantly reduced state, and the cause of the fault is analyzed and inferred by measuring the state of the substation equipment during operation or after shutdown, so as to determine the severity of the fault and find out the abnormal or defective part.
Preferably, the state overhaul strategy in the step E is sorted according to the result of the equipment state evaluation and according to urgency and necessity, a state overhaul plan is dynamically and reasonably arranged, and meanwhile, a specific overhaul mode, overhaul time and content are determined according to the relevant regulations of the state overhaul technology, and a specific overhaul scheme is formulated; the state maintenance strategy of the equipment comprises the establishment of a maintenance plan, defect treatment, test, maintenance without power failure and inspection.
Preferably, in the step F, the on-site maintenance work is performed according to a standardized operation instruction, and relevant regulations and management rules for maintenance are set, so that the maintenance work of the power grid equipment is always in a controllable, in-control and controllable state.
Preferably, the comprehensive evaluation in the step G refers to searching for problems existing in the work by evaluation, and comprehensively evaluating the work performance and economic benefit of six links before the status maintenance work, so as to determine whether the status maintenance work has an actual effect, and provide corrective measures and suggestions and bring the corrective measures and suggestions into the performance assessment of the maintainers.
Compared with the prior art, the invention has the beneficial effects that: the invention can replace manual experience to carry out equipment state evaluation, risk evaluation and fault diagnosis, ensure that the state evaluation is accurate and effective, the maintenance strategy is scientific and reasonable, and the production management personnel is assisted to make a maintenance plan and generate a maintenance mode and a maintenance scheme; the invention can realize the information management function of the equipment to be repaired in seven links of equipment information collection, state evaluation, risk evaluation, fault diagnosis, maintenance strategy, maintenance implementation, comprehensive evaluation and the like, can comprehensively analyze the equipment state, maintenance quality, maintenance efficiency, economic benefit and the like from multiple angles, effectively improves the transportation and inspection capability and reduces the blindness work; in addition, the invention can establish a standardized template aiming at information data of each link of state maintenance, standardize data entry and carry out structured storage on equipment data. And establishing various databases such as an equipment information base, a state evaluation rule base, a fault diagnosis method base, a maintenance strategy base and the like, and performing information management on data such as equipment operation, tests, defects, maintenance and the like to realize the whole-process management of the power transformation equipment.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of the apparatus state evaluation of the present invention;
FIG. 3 is a flow chart of risk assessment of the apparatus of the present invention;
FIG. 4 is a basic flow chart of the service implementation of the present invention;
FIG. 5 is a basic flow chart of the comprehensive evaluation of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: a transformer equipment state overhauling and auxiliary decision making method comprises the following steps:
A. collecting equipment information;
B. evaluating the equipment state;
C. evaluating equipment risk;
D. equipment fault diagnosis;
E. making a maintenance strategy;
F. carrying out maintenance work;
G. and (4) comprehensive evaluation.
In the invention, the equipment is installed in the early stage in the step A, and operation, maintenance and test data information are collected comprehensively; the device information source comprises the following four parts:
1) the original data mainly comprises completion drawings, installation records, test reports, commissioning dates, nameplate parameters, equipment specifications and the like.
2) The operation data mainly comprises operation condition record, past defect and exception record, inspection record, load condition, online monitoring record and the like. Taking the transformer as an example, the extractable state quantity information includes load conditions, appearance conditions (oil level and oil leakage), external environment conditions (temperature and pollution level), cooling system working conditions, pressure regulating switch working conditions and the like.
3) The maintenance data mainly comprises defect eliminating records, test reports, component replacement conditions and the like. 4) Other data mainly includes the conditions of operation, repair and test, and defects of the same type (same type) of equipment, family defects of the series of equipment, execution conditions of related countermeasures, other factors influencing safe and stable operation of the equipment, and the like.
By establishing the equipment information database, the data such as the equipment parameters, the function types and the like are structurally stored, and historical operation, tests, defects and maintenance records can be conveniently and quickly inquired. A standardized template is established for information data of each link of state maintenance, and maintainers input relevant information according to the standard data template, so that data input is standardized, and data in a production management system can be imported.
Equipment information inquiry: the function can browse the information of the power transformation equipment in the district of the delay safety power supply division company, the system defaults to classify the equipment according to the transformer substation to which the system belongs, and the maintainer can screen and check the equipment nameplate parameter, the test report, the maintenance record, the primary drawing and the secondary drawing and the like according to the equipment type, the manufacturer and other conditions.
Equipment information entry: continuously and normatively collecting the off-line and on-line monitoring data of the equipment in the running process of the equipment, and comprehensively displaying the state of the equipment by monitoring the running state of the equipment; especially the reason analysis and the corresponding test record when the equipment has faults, and the information conditions such as the first test value after overhaul. Equipment state, running condition, test and maintenance condition and the like. The equipment information is mainly recorded by state overhaul team members in the early stage.
Test data entry and report generation and editing: the system has an intelligent editing function, and a maintainer only needs to input test data, and the system automatically generates a test report according to a standard template, supports a one-key import/export function, can modify and store the maintainer, and can rapidly issue the test report on a working site.
In the invention, the equipment state evaluation in the step B mainly acquires the state information by the existing technical means of operation inspection, preventive periodic test, diagnostic test or charged detection, online monitoring and the like according to the collected various equipment information, analyzes and evaluates the state quantity reflecting the health state of the equipment through a corresponding mathematical model, and finally determines the equipment state and the development trend. The state evaluation of the transformer equipment is the basis of the research of a maintenance overall strategy, and the condition of the equipment must be accurately and credibly estimated or predicted to make decisions on the equipment such as continuous operation, implementation monitoring or shutdown maintenance.
The equipment state database is established to structurally store state quantity data influencing equipment health, the health condition of the equipment is displayed through a visual interface, the maintenance informatization and intelligent management of the power transformation equipment is realized, the health level of the equipment is comprehensively controlled, and the half-life cycle management of the equipment is realized. The system provides basic functions of statistics, calculation and analysis, and is convenient for maintenance personnel to know the real operation state of the whole power transformation equipment from the macro. The method has the main functions of substation equipment state evaluation chart and query, test period statistics and reminding, automatic/manual state evaluation and dynamic updating of a state evaluation database.
And (3) equipment state evaluation chart and query: the system can display all the power grid equipment in the interface, and evaluate the chart according to the state of the transformer substation or the single equipment, so that a user can conveniently check the state of the transformer substation equipment from macro and micro. The query function can query state evaluation information and equipment state development trend of certain equipment.
Statistics and reminding of preventive test period: according to the requirements in the preventive test regulation of the equipment, the system provides preventive test period statistics and assists maintenance personnel to compile an annual preventive test plan. The device near the test period is automatically marked and reminded, so that the problems of device missing test and overdue non-test can be effectively avoided.
Automatic/manual status evaluation: the system automatically evaluates the state of the equipment every 15 days, and can manually evaluate the state if the state quantity related to the equipment is changed due to temporary inspection or other reasons.
And (3) dynamically updating a state evaluation database: the state evaluation data is new data obtained by analyzing, comparing and calculating based on the real-time information of the equipment and the state evaluation guide rule, and the new data is dynamically changed and continuously generated, so that a database needs to be specially constructed to store the new data so as to improve the retrieval efficiency.
And (4) by taking the state evaluation guide of national network companies as a reference, the state evaluation adopts a deduction value, and the deduction value of the state quantity is subtracted on the basis that the full score is 100 points, so that the current state evaluation score of the equipment is obtained. Higher scores indicate higher health of the equipment. According to the state quantity deduction value, the states can be divided into four types, namely a normal state, an attention state, an abnormal state and a serious state. The normal state indicates that each state quantity of the equipment is stable and within a standard limit value specified by a regulation, and the equipment can normally run; note that the state refers to the state quantity change trend of single item (or multiple items) which is going to be close to the standard limit value, but not exceeding the standard limit value, the operation can be continued, and the monitoring in the operation should be strengthened; the abnormal state means that the single important state quantity has larger change and is close to or slightly exceeds the standard limit value, the operation is monitored, and the power failure maintenance is arranged in time; the serious state means that a single important state quantity seriously exceeds a standard limit value, and power failure maintenance needs to be arranged as soon as possible.
In the invention, in the step C, the equipment risk assessment utilizes the equipment state evaluation result, takes the risk value as an index, comprehensively considers the action risk values of the assets, the asset loss degree and the equipment failure probability, and determines the equipment operation risk; after the equipment risk value is determined, similar equipment is sorted according to the magnitude of the risk value and used as a decision basis for the state maintenance of the power transformation equipment, and the influence of the continuous operation of the equipment on the change of the risk value is considered when maintenance time is arranged. The assets, the asset loss degree and the average failure rate can be respectively sequenced and used as a decision reference for state overhaul.
The equipment risk assessment can realize statistical analysis of information such as fault rate, reliability and service life of each piece of equipment of different manufacturers, generate a corresponding equipment performance quality chart, and provide reference basis for purchasing equipment materials and selecting equipment manufacturers.
Equipment risk assessment summary and query: the system can display the risk assessment chart of the equipment of the transformer substation to which the system belongs in the interface, and operation and maintenance personnel can conveniently check the risk condition of the whole or partial equipment of the governed transformer substation. The query function may query the risk assessment details of a device.
Device risk assessment reminding: according to the condition maintenance requirement, the system carries out early warning on high-risk equipment, and reliable and effective means are carried out to avoid the occurrence of electric power accidents and events.
Automated/manual risk assessment: the system automatically carries out equipment risk assessment once every 15 days, and can also manually carry out risk assessment when equipment risk conditions change due to other reasons.
Grid model and external influences: the risk assessment needs to establish an accurate power grid model and needs to dynamically update the real-time load to ensure the accuracy of assessment, and in addition, the risk assessment is also influenced by conditions such as political power conservation, major holiday power conservation, peak-meeting summer, peak-meeting winter, meteorological conditions and the like. The above conditions need to be changed into specific parameters to be calculated in a power grid model, and risk assessment data are obtained comprehensively.
Risk assessment dynamic database: because the risk assessment data are data obtained based on state evaluation and comprehensive analysis of a power grid model, real-time load, power conservation condition and the like, the data are dynamically changed and continuously generated, and a database needs to be specially constructed to store the data so as to improve the retrieval efficiency.
In the invention, the equipment fault diagnosis in the step D aims at the equipment with obviously reduced state, and the cause of the fault is analyzed and inferred by measuring the state quantity of the substation equipment during operation or after shutdown, so as to judge the severity of the fault and find out the abnormal or defective part. The core of fault diagnosis is to master the change of the state quantity of the equipment, establish a reasonable mathematical model and propose scientific judgment boundary conditions, and can be realized by adopting an expert system combined with artificial intelligence to assist. Different equipment types, equipment structures and fault phenomenon diagnosis processes are not completely the same, and taking a switch as an example, the diagnosis processes are roughly divided into insulation faults, mechanical faults and secondary circuit faults. Common fault diagnosis methods include a threshold analysis method, a significant difference analysis method, a case-based reasoning analysis method, a fault tree analysis method, an artificial neural network analysis method, a rough set fault diagnosis method and the like.
The equipment fault diagnosis is realized by measuring the state quantity of the equipment, analyzing and reasoning the reasons of the generated fault, judging the severity of the fault and finding out the abnormal or defective part. The core of fault diagnosis is to master the change of the state quantity of the equipment, establish a reasonable mathematical model and provide scientific judgment boundary conditions. And establishing a fault diagnosis process aiming at different equipment, storing fault diagnosis cases into a fault diagnosis knowledge base, and continuously improving and perfecting the fault diagnosis process by using a machine learning algorithm.
Manual fault diagnosis: aiming at equipment faults, the reasons for generating the faults are analyzed and inferred, the severity of the faults is judged, abnormal or defective parts are found out, and frequent occurrence of the equipment faults is avoided by an effective means.
And (3) fault diagnosis process: and establishing a fault diagnosis process aiming at different equipment, and modifying and perfecting the fault process according to the actual condition of the equipment fault.
A fault diagnosis method library: and comprehensively analyzing the diagnosis result by using a set threshold analysis method, a significance difference analysis method, a case reasoning analysis method, a fault tree analysis method, an artificial neural network analysis method, a rough set fault diagnosis method and other diagnosis methods to obtain an optimal result.
In the invention, the state maintenance strategy in the step E is sorted according to the result of equipment state evaluation and urgency and necessity, a state maintenance plan is dynamically and reasonably arranged, and meanwhile, a specific maintenance mode, maintenance time and content are determined according to related regulations of a state maintenance technology, and a specific maintenance scheme is formulated; the state maintenance strategy of the equipment comprises the establishment of a maintenance plan, defect treatment, test, maintenance without power failure and inspection.
The transformer equipment maintenance projects can be divided into five types:
(1) the grade A inspection refers to integral inspection, which is to disassemble all or most parts of the equipment (equipment replacement), and inspect, repair and post-repair tests on unqualified parts to maintain and recover the equipment performance. In practice, for transformer maintenance, large-scale maintenance work with important loads and large power failure influence and requiring three measures is generally determined as A-level maintenance.
(2) And B-level maintenance refers to local maintenance, and performs targeted decomposition inspection, repair, replacement and post-repair tests on partial functional components of the equipment to maintain and recover the performance of the equipment. When the general load is carried, the power failure influence is small or the mode of transferring the load and the like is adopted, the external power failure is avoided, and the maintainers do not need to compile three measures during processing, but the maintainers with certain difficulty are used as B-level maintenance.
(3) And C-level maintenance refers to general maintenance, preventive tests on the equipment in a power failure state, general defect elimination, inspection, maintenance and cleaning so as to maintain and verify the normal performance of the equipment. For equipment for monitoring the state, the C-level overhaul content aims at the problems found by daily inspection, periodic inspection and state monitoring diagnosis, and the failed parts are inspected and repaired to ensure the normal function of the equipment. For equipment which carries out preventive periodic maintenance, the main content of C-level maintenance is to replace or repair components which are about to fail before the next preventive test according to the grasped failure and aging rules so as to ensure the normal function of the equipment. Routine ordinary equipment maintenance, general overhaul work without emergency treatment as class C overhaul.
(4) And D-level maintenance, namely maintenance, wherein the operations such as live test, equipment part replacement, inspection and the like of primary equipment in a non-power-off state are performed to ensure the normal function of the equipment, and the D-level maintenance is generally defined.
(5) And E-level overhaul refers to overhaul, defect elimination and maintenance of secondary equipment or a direct current system under the condition of electrification.
And the state maintenance strategy of the equipment is dynamically adjusted according to the evaluation result of the equipment state. According to the state maintenance guide rule, the equipment which is evaluated to be in a normal state executes C-level maintenance, and according to the actual condition, the maintenance can be executed according to a normal period or properly prolonged; the equipment which is evaluated as the attention state executes C-level maintenance, if the evaluation result is the attention state due to deduction of a single state quantity, the maintenance is scheduled in advance according to the actual situation, if the evaluation result is the attention state due to deduction of a plurality of state quantities, the maintenance can be executed according to the normal period, and necessary maintenance or test contents are added according to the actual situation of the equipment; the equipment which is evaluated to be in an abnormal state determines the maintenance type according to the evaluation result, and timely arranges maintenance; the equipment evaluated as "serious condition" determines the type of overhaul according to the evaluation result, and schedules the overhaul as soon as possible.
The state maintenance strategy provides an economic, efficient and reliable maintenance strategy according to the equipment state evaluation, risk assessment and fault diagnosis result comprehensive analysis, the maintenance period can be properly prolonged for well-operated equipment, the excessive maintenance of the equipment is avoided, the temporary maintenance workload is reduced, the shortage of maintenance workers is effectively relieved, and the purposes of improving the equipment reliability, reducing the equipment maintenance cost and improving the equipment life cycle are achieved.
And (3) state maintenance strategy rules: and reasonably arranging the state overhaul plan according to the result of the equipment state evaluation and the sequence of urgency and necessity. And meanwhile, determining a specific maintenance mode, maintenance time and content according to relevant regulations of state maintenance, and formulating specific defect treatment and maintenance/test schemes and the like.
And (3) maintenance plan auxiliary compilation: the maintenance plan adopts a dynamic revision mode, equipment risk evaluation factors are considered according to the latest equipment state evaluation result, the next power failure maintenance time and maintenance types are determined by referring to the technical requirements of equipment manufacturers, and when the maintenance plan is arranged, related equipment maintenance periods are coordinated and arranged as uniformly as possible, so that repeated power failure is avoided; for equipment defects, the defects are treated according to the related regulations of defect management according to the defect properties, the same equipment has various defects, the defects are also arranged to be treated in one-time maintenance as much as possible, the maintenance types can be adjusted if necessary, and the maintenance and the test are arranged according to the actual conditions without power failure.
Manually/automatically generating a maintenance mode and a maintenance scheme: the system provides technical support for field maintainers by combining with a maintenance rule base according to a state evaluation result and utilizing various technical means such as data mining, neural networks and deep learning, generates a maintenance mode and a maintenance scheme, and assists production managers in decision making and judgment.
In the invention, the maintenance work in the step F is implemented according to a standardized operation instruction, and relevant regulations and management rules of the maintenance implementation are formulated, so that the maintenance work of the power grid equipment is always in a controllable, in-control and controllable state. And the maintenance work of the maintenance center develops the on-site maintenance work according to the standardized operation flow, so that the maintenance work of the power grid equipment is always in a controllable, in-control and controllable state. The relevant regulations of field safety work rules and overhauling and testing are strictly executed in work.
Preparing operation: and recording the on-site investigation records, automatically generating a work ticket and a team meeting record according to the maintenance plan, and assisting the maintenance personnel to prepare maintenance work data.
The operation is implemented: and (4) implementing field safety control and strictly executing a standardized operation flow. By recording the departure time, the journey, the arrival time, the power failure time, the work starting time, the work ending time, the power transmission recovery time, the task division and other maintenance work detailed information and information, each maintenance and each device can be traced, people are responsible, and the maintenance work and maintenance personnel are summarized and analyzed according to the scientific basis.
In the invention, the comprehensive evaluation in the step G refers to the evaluation to find the problems existing in the work, and comprehensively evaluate the work performance and the economic benefit of six links before the state maintenance work so as to determine whether the state maintenance work has the actual effect, and provide the correction measures and the suggestions and bring the correction measures and the suggestions into the performance evaluation of the maintainers.
The comprehensive evaluation refers to the evaluation to find problems existing in the work, comprehensively evaluate the power supply reliability, the work performance, the economic benefits and the like of six links before the state overhaul work so as to determine whether the state overhaul work has the actual effect, provide the correction measures and the suggestions and bring the correction measures and the suggestions into the performance assessment of maintainers. The maintenance process is informationized and tracked through the state maintenance and auxiliary decision system, the maintenance working process can be checked and controlled, and the maintenance efficiency and the maintenance quality are further improved.
And (3) power supply reliability evaluation: and comparing and analyzing the data after the implementation state maintenance and before the implementation to obtain the actually improved power supply reliability data.
Evaluation of production cost: and comparing and analyzing the data after the implementation state maintenance and before the implementation state maintenance to obtain the data of the reduced production cost.
Evaluation by staff: and the source returning and tracing are carried out on the maintenance work and the maintenance quality, people are responsible, the maintenance effect of the maintenance personnel is truly evaluated, and the evaluation are carried out on the maintenance effect.
In addition, in the whole process of equipment maintenance, equipment information, defect records, maintenance records and test data have significance for state analysis, and the problems of data incomplete, data loss, inaccurate record and the like are easy to occur by the working mode of manually recording relevant business information of the links in the past, so that the data analysis result is influenced. Therefore, the mode of moving the APP is adopted, and the working mode of manually recording the overhaul, defects, equipment information and test data in the prior art is changed. The information can be input at the mobile terminal and stored in the database so as to carry out service analysis by later application of data technology. In addition, the mobile APP also has certain computing power, test data can be input, meanwhile, calculation is carried out according to a test formula, whether the equipment test is qualified is obtained, and precious manpower and time are saved on the premise that the accuracy of the test result is guaranteed.
The state maintenance APP mainly serves maintenance work, maintenance personnel enter basic information and defect information of the field device as required during working, and the APP is opened to check the defects of the processing device by referring to the provided fault analysis and maintenance method inside. The information input by each state maintenance APP is uploaded to a system platform through WIFI and a mobile network, so that the state maintenance and auxiliary decision system finally obtains maintenance/test data of all substations in the jurisdiction, the data volume and the data dimension of the system can far exceed the traditional working mode along with the accumulation of time, and the equipment state, the maintenance quality, the maintenance efficiency, the economic benefit and the like are analyzed on the basis of big data from multiple aspects. The specific functions are as follows:
entering basic data of equipment: the maintainer can be through APP with relevant data entry to state maintenance management platform such as equipment basic data, primary, secondary drawing.
Maintenance and test work task list: after a state overhaul APP is used for initiating an overhaul and test work task list, information of the to-be-overhauled equipment needs to be input in detail, then the work task list can be started, overhaul and test data are input strictly according to the work task list, and after the overhaul/test is completed, the work task list can be completed only after actual tests and overhaul conditions need to be filled.
Information inquiry and statistics: the state maintenance APP provides the detail query function of basic information, defect records, maintenance records and test reports of the equipment, and the maintenance personnel can know the defects, tests and maintenance conditions of various equipment in the maintenance work.
According to the actual condition of the equipment, after a to-be-overhauled/tested item of the equipment is selected or input, an overhauled/tested scheme is automatically retrieved according to the correlation, and the to-be-overhauled/tested scheme comprises production data required to be configured for overhauling, an overhauled/tested mode method, comparison equipment delivery test data, the recent overhauling condition and other information.
In conclusion, the invention can replace manual experience to carry out equipment state evaluation, risk evaluation and fault diagnosis, ensure that the state evaluation is accurate and effective, the maintenance strategy is scientific and reasonable, and the invention assists production managers to make maintenance plans and generate maintenance modes and maintenance schemes; the invention can realize the information management function of the equipment to be repaired in seven links of equipment information collection, state evaluation, risk evaluation, fault diagnosis, maintenance strategy, maintenance implementation, comprehensive evaluation and the like, can comprehensively analyze the equipment state, maintenance quality, maintenance efficiency, economic benefit and the like from multiple angles, effectively improves the transportation and inspection capability and reduces the blindness work; in addition, the invention can establish a standardized template aiming at information data of each link of state maintenance, standardize data entry and carry out structured storage on equipment data. And establishing various databases such as an equipment information base, a state evaluation rule base, a fault diagnosis method base, an overhaul strategy base and the like, performing information management on equipment operation, test, defect and overhaul data, and realizing the whole process management of the overhaul of the transformer equipment.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (8)

1. A transformer equipment state maintenance and assistant decision method is characterized in that: the method comprises the following steps:
A. collecting equipment information;
B. evaluating the equipment state;
C. evaluating equipment risk;
D. equipment fault diagnosis;
E. making a maintenance strategy;
F. carrying out maintenance work;
G. and (4) comprehensive evaluation.
2. The substation equipment condition maintenance and aid decision method according to claim 1, wherein the method comprises the following steps: in the step A, the equipment is installed in the early stage, and information such as operation, overhaul and maintenance, test data and the like is comprehensively collected.
3. The substation equipment condition maintenance and aid decision method according to claim 1, wherein the method comprises the following steps: and B, evaluating the equipment state in the step B mainly according to the collected various equipment information, acquiring the state information by the existing technical means such as operation inspection, preventive periodic test, diagnostic test or charged detection, online monitoring and the like, analyzing and evaluating the characteristic quantity reflecting the health state of the equipment through a corresponding mathematical model, and finally determining the equipment state and the development trend.
4. The substation equipment condition maintenance and aid decision method according to claim 1, wherein the method comprises the following steps: in the step C, the equipment risk assessment utilizes the equipment state evaluation result, takes the risk value as an index, comprehensively considers the action risk values of the assets, the asset loss degree and the equipment failure probability, and determines the equipment operation risk; after the equipment risk values are determined, the similar equipment is sorted according to the risk values and used as a decision basis for the state maintenance of the power transformation equipment.
5. The substation equipment condition maintenance and aid decision method according to claim 1, wherein the method comprises the following steps: and D, equipment fault diagnosis aims at equipment with obviously reduced state, the reason of the fault is analyzed and inferred by measuring the state quantity of the substation equipment during operation or after shutdown, the severity of the fault is judged, and the abnormal or defective part is found out.
6. The substation equipment condition maintenance and aid decision method according to claim 1, wherein the method comprises the following steps: the state maintenance strategy in the step E dynamically and reasonably arranges a maintenance plan according to the result of the equipment state evaluation and the sequence of urgency and necessity, determines a specific maintenance mode, maintenance time and content according to the relevant regulations of the state maintenance technology, and formulates a specific maintenance scheme; the state maintenance strategy of the equipment comprises the establishment of a maintenance plan, defect treatment, test, maintenance without power failure and inspection.
7. The substation equipment condition maintenance and aid decision method according to claim 1, wherein the method comprises the following steps: and F, carrying out field maintenance according to a standard operation instruction for maintenance work, and making relevant maintenance implementation regulations and management rules, so that the power grid equipment maintenance work is always in a controllable, in-control and controllable state.
8. The substation equipment condition maintenance and aid decision method according to claim 1, wherein the method comprises the following steps: and the comprehensive evaluation in the step G refers to the evaluation to find the problems existing in the work, and comprehensively evaluate the work performance and the economic benefit of six links before the state overhaul work so as to determine whether the state overhaul work has the actual effect, and provide the correction measures and the suggestions and bring the correction measures and the suggestions into the performance evaluation of maintainers.
CN202110805545.XA 2021-07-16 2021-07-16 Substation equipment state maintenance and decision-making assisting method Pending CN113537523A (en)

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CN114169693A (en) * 2021-11-16 2022-03-11 国网河南省电力公司郑州供电公司 Power transformation equipment operation evaluation method based on digital test report
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