CN117273709B - Equipment operation and maintenance and fault monitoring on-line evaluation system and method - Google Patents
Equipment operation and maintenance and fault monitoring on-line evaluation system and method Download PDFInfo
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- 238000012423 maintenance Methods 0.000 title claims abstract description 203
- 238000012544 monitoring process Methods 0.000 title claims abstract description 138
- 238000011156 evaluation Methods 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000006243 chemical reaction Methods 0.000 claims description 13
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/06—Wind turbines or wind farms
Abstract
The invention discloses an equipment operation and maintenance and fault monitoring on-line evaluation system and method, and belongs to the technical field of equipment operation and maintenance and fault monitoring. The system comprises a device operation and maintenance module, a wind turbine generator set historical database, a fault concurrency processing module, a monitoring evaluation control module and an early warning module; the output end of the equipment operation and maintenance module is connected with the input end of the fault concurrency processing module; the output end of the wind turbine generator system history database is connected with the input ends of the fault concurrency processing module and the monitoring evaluation control module; the output end of the fault concurrency processing module is connected with the input end of the monitoring and evaluating control module; the output end of the monitoring evaluation control module is connected with the input end of the early warning module. The method and the device realize the maintenance planning of the wind turbine generator in an on-line evaluation mode from the perspective of concurrent faults, can well avoid accidents during maintenance, and have important significance on the maintenance strategy of the wind turbine generator.
Description
Technical Field
The invention relates to the technical field of equipment operation and maintenance and fault monitoring, in particular to an equipment operation and maintenance and fault monitoring on-line evaluation system and method.
Background
The wind generating set is usually in the environment with larger wind power, generally in the severe areas such as the wild, islands and the like, and the load generated by the wind power has irregular characteristics, and can generate strong impact force on the wind generating set in an instantaneous state, so that the wind generating set can be caused to break down. At present, the fault phenomena of the wind turbine generator are various, and the most common faults of the gearbox and the generator are taken as examples, and the faults comprise local faults and distributed faults. The local faults include gear damage, bending fatigue and the like, and the distributed faults are divided into tooth surface wear, bearing damage and the like. The failure modes that occur include the following: tooth breakage, gear tooth surface fatigue, tooth surface gluing, and the like. The generator fails and can be classified into stator winding failure and bearing failure. When the stator winding fails, the winding is damaged, worn and cracked, and the winding cannot provide an insulation function. When bearing failure occurs, failure of different parts can generate different vibration signals. In addition, the rotor and the stator are supported by the bearings, the bearings can bear larger radial loads, and the bearings are in fault under the action of the larger loads. For the current technology, independent fault maintenance has been advanced, but the cascading reaction of faults is often out of consideration, and a certain fault has a high probability of causing other faults, and in the field of concurrent faults, no good technical support exists from the maintenance means or the maintenance time, so that all the faults are difficult to carry out according to a plan, and the operation of the wind turbine generator set is delayed, so that serious loss is caused.
Disclosure of Invention
The invention aims to provide a system and a method for online evaluation of equipment operation and fault monitoring, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the equipment operation and maintenance and fault monitoring on-line evaluation method comprises the following steps:
s1, constructing an operation and maintenance system of wind turbine equipment, wherein the operation and maintenance system comprises a control system, an electrical system, a blade generator set and a fault monitoring and evaluating terminal, and a data channel is connected with a decision port of an administrator;
s2, calling a wind turbine generator set historical database to acquire any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and acquiring independent maintenance duration of the fault equipment firmware A;
s3, calling out maintenance records related to the fault equipment firmware A in a wind turbine generator system historical database, wherein any group of maintenance records should contain the fault equipment firmware A and N associated equipment firmware of the firmware A, N is an integer greater than or equal to 0, and the maintenance duration of each group of maintenance records is acquired;
s4, based on the maintenance duration data of the steps S2-S3, a time proportion system under concurrent faults is established, maintenance time proportion values under multidimensional concurrent faults are formed, the maintenance time proportion values are ordered from large to small based on the proportion values, priorities of the concurrent faults are marked, an influence model of associated equipment firmware of the firmware A is built, and high-risk associated equipment firmware of the firmware A is output;
s5, when the equipment firmware A fails, starting a failure monitoring and evaluating terminal, preferentially monitoring the high-risk associated equipment firmware, calling the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in a wind turbine generator historical database, constructing a monitoring and evaluating control model, and outputting the predicted priority monitoring duration of the failure monitoring and evaluating terminal to the high-risk associated equipment firmware;
and S6, acquiring weather data based on the predicted priority monitoring time, and early warning to an administrator port if the extreme weather data exists in the predicted priority monitoring time.
According to the technical scheme, the method further comprises the following steps:
the control system refers to the control terminal integration of various device firmware and is used for controlling the start and stop of various device components; the electric system refers to an energy conversion system, and the mechanical energy contained in the wind wheel with the rotating speed change is converted into stable alternating current consistent with the voltage frequency parameter of the power grid through the energy conversion system; the blade generator set refers to direct equipment in the wind turbine generator set, and comprises blades and a generator set; the fault monitoring and evaluating terminal is used for monitoring, analyzing and evaluating data of faults of various equipment firmware of the wind turbine generator;
the wind turbine generator system history database comprises maintenance records, fault reasons and fault time points of various equipment firmware.
According to the above technical solution, the influence model of the firmware a associated with the device firmware includes:
any fault equipment firmware A is obtained, maintenance records related to the fault equipment firmware A are called out in a wind turbine generator set history database, the maintenance duration of each group of maintenance records is obtained, and data series output is carried out according to the associated equipment firmware of the firmware A in the maintenance records: { A, A, … …, AJ }; wherein A1, … …, AJ refer to the associated device firmware of firmware A in the maintenance record, representing the associated device firmware of each firmware A participating in the maintenance record;
acquiring independent maintenance time of the firmware A, acquiring independent maintenance time of associated equipment firmware of each firmware A, and constructing an influence model of the associated equipment firmware of the firmware A:
，
wherein,indicating a maintenance time proportion value when concurrent faults occur; />Refers to the total duration of the maintenance record; />Refer to the individual maintenance duration of device firmware m; k refers to the total number of device firmware involved in the repair record;
calculating maintenance time proportion values of all maintenance records, outputting the maintenance time proportion values to the inside of a set, setting a selection threshold value N by a system, selecting N groups of maintenance time proportion values in the inside of the set according to the sequence from large to small, respectively acquiring equipment firmware in each group of maintenance records corresponding to the N groups of maintenance time proportion values, and selecting the associated equipment firmware with the largest occurrence number except A as high-risk associated equipment firmware of firmware A;
the method for selecting the threshold value N comprises the following steps:
acquiring all combination modes in the maintenance records, wherein the combination modes refer to all equipment firmware contained in any maintenance record, and if all the equipment firmware contained in the two groups of maintenance records are the same, the two groups of maintenance records belong to the same combination mode;
forming coordinates according to the number of the equipment firmware in each combination mode, and writing the coordinates into a rectangular coordinate system, wherein the abscissa of each coordinate is randomly valued between 0 and 1, and 0 or 1 is not taken; taking the number value of the equipment fixing number in each combination mode by the ordinate to form a data distribution column between 0 and 1;
constructing a data distribution model:
，
wherein,data distribution interval values; />、/>、/>、/>Respectively represent weight distribution coefficient values, wherein the sum of the coefficient values is 1, and +.>、/>、/>、/>For decreasing the proportional value c +.>And->Is the coefficient minimum; />、/>、/>、/>Normalized values corresponding to the number of the equipment fixing members from small to large respectively;
the system sets different data distribution intervals, each data distribution interval is set with an N value, and the N value is set in the data distribution intervalWhen the data fall into any data distribution interval, the N value corresponding to the data distribution interval is selected correspondingly.
The setting of the N value generally increases with the increase of the data distribution interval, for example, when the data interval is 0-0.1, the N value is set to 100;0.1-0.2, then set to 200; this is because the number of different device firmware has different influence on the result, and the fewer the device firmware is in a group of maintenance data, the lower the capability of judging the high-risk device firmware is, so when the number of groups of the fewer device firmware in the existing maintenance record is large, some data groups should be selected for analysis to ensure that the result is more accurate, namely the corresponding data groupsWhen larger, the person is in need of->Also become larger, ->、/>、/>、/>The value of (2) is obtained by the amount of the actual maintenance data, namely the amount of the combination mode, and the fixed proportion c is set to be decreased progressively, so that the last group is the minimum value of all values.
According to the above technical solution, the building the monitoring evaluation control model includes:
when the equipment firmware A fails, calling the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine historical database under the wind turbine historical database to form a data list { R1, R2, … … and Ru }; wherein R1, R2, … … and Ru respectively represent the interval duration of faults between the equipment firmware A and the high-risk associated equipment firmware in the u maintenance records;
then there are:
，
wherein,representing the prediction priority monitoring time length of the output fault monitoring and evaluating terminal to the high-risk associated equipment firmware; />The output fault monitoring and evaluating terminal is represented to predict and monitor the duration of priority in the ith period of the high-risk associated equipment firmware; />Represents a smoothing constant, the value range of which is 0 to 1, excluding the end points;
and acquiring weather data based on the predicted priority monitoring time, and if extreme weather data exists in the predicted priority monitoring time, pre-warning to an administrator port.
An equipment operation and maintenance and fault monitoring on-line assessment system, the system comprising: the system comprises a device operation and maintenance module, a wind turbine generator set historical database, a fault concurrency processing module, a monitoring and evaluation control module and an early warning module;
the equipment operation and maintenance module is used for constructing an operation and maintenance system of the wind turbine generator equipment, the operation and maintenance system comprises a control system, an electrical system, a blade generator set and a fault monitoring and evaluating terminal, and a decision port of an administrator is connected with a data channel; the wind turbine generator system history database is used for storing maintenance records, fault reasons and fault time points of various equipment firmware; the fault concurrency processing module is used for calling a wind turbine generator set historical database to obtain any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and the independent maintenance duration of the fault equipment firmware A is obtained; the method comprises the steps that maintenance records related to fault equipment firmware A are called out from a wind turbine generator system historical database, any one group of maintenance records should contain the fault equipment firmware A and associated equipment firmware of N kinds of firmware A, N is an integer greater than or equal to 0, and maintenance duration of each group of maintenance records is obtained; based on the maintenance duration data, a time proportion system under concurrent faults is established, maintenance time proportion values under multidimensional concurrent faults are formed, the maintenance time proportion values are ordered from large to small based on the proportion values, priority of the concurrent faults is marked, an influence model of associated equipment firmware of the firmware A is constructed, and high-risk associated equipment firmware of the firmware A is output; when the equipment firmware A fails, the monitoring and evaluation control module starts a failure monitoring and evaluation terminal to monitor the high-risk associated equipment firmware preferentially, calls the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine generator set historical database, constructs a monitoring and evaluation control model, and outputs the predicted priority monitoring duration of the failure monitoring and evaluation terminal to the high-risk associated equipment firmware; the early warning module acquires weather data based on the predicted priority monitoring time, and early warns an administrator port if extreme weather data exists in the predicted priority monitoring time;
the output end of the equipment operation and maintenance module is connected with the input end of the fault concurrency processing module; the output end of the wind turbine generator system history database is connected with the input ends of the fault concurrency processing module and the monitoring evaluation control module; the output end of the fault concurrency processing module is connected with the input end of the monitoring and evaluating control module; the output end of the monitoring evaluation control module is connected with the input end of the early warning module.
According to the technical scheme, the control system refers to the control terminal integration of various equipment firmware and is used for controlling the start and stop of various equipment parts; the electric system refers to an energy conversion system, and the mechanical energy contained in the wind wheel with the rotating speed change is converted into stable alternating current consistent with the voltage frequency parameter of the power grid through the energy conversion system; the blade generator set refers to direct equipment in the wind turbine generator set, and comprises blades and a generator set; the fault monitoring and evaluating terminal is used for monitoring, analyzing and evaluating data of faults of various equipment firmware of the wind turbine generator.
According to the technical scheme, the fault concurrency processing module comprises a data calling unit and a concurrency analysis unit;
the data calling unit is used for calling a historical database of the wind turbine generator to obtain any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and the independent maintenance duration of the fault equipment firmware A is obtained; and calling out maintenance records related to the fault equipment firmware A in a wind turbine generator system historical database, wherein any group of maintenance records should contain the fault equipment firmware A and N related equipment firmware of the firmware A, N is an integer greater than or equal to 0, and the maintenance duration of each group of maintenance records is acquired.
According to the technical scheme, the concurrency analysis unit establishes a time proportion system under the concurrency fault based on the maintenance duration data, forms maintenance time proportion values when the multidimensional concurrency fault is formed, sorts the maintenance time proportion values from large to small based on the proportion values, marks priority of the concurrency fault, builds an influence model of associated equipment firmware of the firmware A, and outputs high-risk associated equipment firmware of the firmware A.
According to the technical scheme, the monitoring and evaluating control module comprises a monitoring unit and an evaluating unit;
when the equipment firmware A fails, the monitoring unit starts a failure monitoring and evaluating terminal to monitor the high-risk associated equipment firmware preferentially; the evaluation unit is used for calling the interval duration of faults between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine generator set historical database, constructing a monitoring evaluation control model, and outputting the predicted priority monitoring duration of the fault monitoring evaluation terminal to the high-risk associated equipment firmware;
the output end of the monitoring unit is connected with the input end of the evaluation unit.
According to the technical scheme, the early warning module comprises a weather unit and an early warning unit;
the weather unit acquires weather data based on the predicted priority monitoring time length; the early warning unit early warns an administrator port when extreme weather data exists in the predicted priority monitoring time;
the extreme weather data refer to stormy weather, ten-level and above wind weather;
the output end of the weather unit is connected with the input end of the early warning unit.
Compared with the prior art, the invention has the following beneficial effects: in the operation, maintenance and monitoring and evaluation processes of the wind turbine equipment, the invention not only considers the maintenance mode of single faults, but also utilizes the efficient data means based on concurrent faults and high-risk equipment firmware in the concurrent faults, and realizes the maintenance planning of the wind turbine in an on-line evaluation mode from the perspective of the concurrent faults, and simultaneously considers the uncertainty of weather changes, thereby being capable of well avoiding accidents during maintenance and having important significance on the maintenance strategy of the wind turbine.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of the system and method for on-line assessment of equipment operation and fault monitoring of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in a first embodiment, an on-line evaluation method for equipment operation and maintenance and fault monitoring is provided, the method includes: an operation and maintenance system of the wind turbine generator system is constructed, the operation and maintenance system comprises a control system, an electrical system, a blade generator set and a fault monitoring and evaluating terminal, and a data channel is connected with a decision port of an administrator; the control system refers to the control terminal integration of various device firmware and is used for controlling the start and stop of various device components; the electric system refers to an energy conversion system, and the mechanical energy contained in the wind wheel with the rotating speed change is converted into stable alternating current consistent with the voltage frequency parameter of the power grid through the energy conversion system; the blade generator set refers to direct equipment in the wind turbine generator set, and comprises blades and a generator set; the fault monitoring and evaluating terminal is used for monitoring, analyzing and evaluating data of faults of various equipment firmware of the wind turbine generator;
the control system is arranged at a port of the master control platform and is responsible for starting and stopping the firmware of each device; the electric system is connected with the power grid equipment and outputs stable alternating current; the blade and the generator set are connected with the control system, receive control instructions, and the fault monitoring and evaluating terminal is connected with the decision port of the administrator and is responsible for data transmission, decision and the like;
invoking a wind turbine generator set history database to obtain any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and the independent maintenance duration of the fault equipment firmware A is obtained; the wind turbine generator set history database comprises maintenance records, fault reasons and fault time points of various equipment firmware; the method comprises the steps that maintenance records related to fault equipment firmware A are called out from a wind turbine generator system historical database, any one group of maintenance records should contain the fault equipment firmware A and associated equipment firmware of N kinds of firmware A, N is an integer greater than or equal to 0, and maintenance duration of each group of maintenance records is obtained;
constructing an influence model of the associated equipment firmware of the firmware A, and outputting the high-risk associated equipment firmware of the firmware A;
any fault equipment firmware A is obtained, maintenance records related to the fault equipment firmware A are called out in a wind turbine generator set history database, the maintenance duration of each group of maintenance records is obtained, and data series output is carried out according to the associated equipment firmware of the firmware A in the maintenance records: { A, A, … …, AJ }; wherein A1, … …, AJ refer to the associated device firmware of firmware A in the maintenance record, representing the associated device firmware of each firmware A participating in the maintenance record;
acquiring independent maintenance time of the firmware A, acquiring independent maintenance time of associated equipment firmware of each firmware A, and constructing an influence model of the associated equipment firmware of the firmware A:
，
wherein,indicating a maintenance time proportion value when concurrent faults occur; />Refers to the total duration of the maintenance record; />Refer to the individual maintenance duration of device firmware m; k refers to the total number of device firmware involved in the repair record;
calculating maintenance time proportion values of all maintenance records, outputting the maintenance time proportion values to the inside of a set, setting a selection threshold value N by a system, selecting N groups of maintenance time proportion values in the inside of the set according to the sequence from large to small, respectively acquiring equipment firmware in each group of maintenance records corresponding to the N groups of maintenance time proportion values, and selecting the associated equipment firmware with the largest occurrence number except A as high-risk associated equipment firmware of firmware A;
the method for selecting the threshold value N comprises the following steps:
acquiring all combination modes in the maintenance records, wherein the combination modes refer to all equipment firmware contained in any maintenance record, and if all the equipment firmware contained in the two groups of maintenance records are the same, the two groups of maintenance records belong to the same combination mode;
forming coordinates according to the number of the equipment firmware in each combination mode, and writing the coordinates into a rectangular coordinate system, wherein the abscissa of each coordinate is randomly valued between 0 and 1, and 0 or 1 is not taken; taking the number value of the equipment fixing number in each combination mode by the ordinate to form a data distribution column between 0 and 1;
constructing a data distribution model:
，
wherein,data distribution interval values; />、/>、/>、/>Respectively represent weight distribution coefficient values, wherein the sum of the coefficient values is 1, and +.>、/>、/>、/>For decreasing the proportional value c +.>And->Is the coefficient minimum; />、/>、/>、/>Normalized values corresponding to the number of the equipment fixing members from small to large respectively;
the system sets different data distribution intervals, each data distribution interval is set with an N value, and the N value is set in the data distribution intervalWhen the data fall into any data distribution interval, the N value corresponding to the data distribution interval is selected correspondingly.
When the equipment firmware A fails, calling the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine historical database under the wind turbine historical database to form a data list { R1, R2, … … and Ru }; wherein R1, R2, … … and Ru respectively represent the interval duration of faults between the equipment firmware A and the high-risk associated equipment firmware in the u maintenance records;
then there are:
wherein,representing the prediction priority monitoring time length of the output fault monitoring and evaluating terminal to the high-risk associated equipment firmware; />The output fault monitoring and evaluating terminal is represented to predict and monitor the duration of priority to the ith period of the high-risk associated equipment firmware；/>Represents a smoothing constant, the value range of which is 0 to 1, excluding the end points;
and acquiring weather data based on the predicted priority monitoring time, and if extreme weather data exists in the predicted priority monitoring time, pre-warning to an administrator port.
In a second embodiment, an online evaluation system for equipment operation and maintenance and fault monitoring is provided, the system comprising: the system comprises a device operation and maintenance module, a wind turbine generator set historical database, a fault concurrency processing module, a monitoring and evaluation control module and an early warning module;
the equipment operation and maintenance module is used for constructing an operation and maintenance system of the wind turbine generator equipment, the operation and maintenance system comprises a control system, an electrical system, a blade generator set and a fault monitoring and evaluating terminal, and a decision port of an administrator is connected with a data channel; the wind turbine generator system history database is used for storing maintenance records, fault reasons and fault time points of various equipment firmware; the fault concurrency processing module is used for calling a wind turbine generator set historical database to obtain any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and the independent maintenance duration of the fault equipment firmware A is obtained; the method comprises the steps that maintenance records related to fault equipment firmware A are called out from a wind turbine generator system historical database, any one group of maintenance records should contain the fault equipment firmware A and associated equipment firmware of N kinds of firmware A, N is an integer greater than or equal to 0, and maintenance duration of each group of maintenance records is obtained; based on the maintenance duration data, a time proportion system under concurrent faults is established, maintenance time proportion values under multidimensional concurrent faults are formed, the maintenance time proportion values are ordered from large to small based on the proportion values, priority of the concurrent faults is marked, an influence model of associated equipment firmware of the firmware A is constructed, and high-risk associated equipment firmware of the firmware A is output; when the equipment firmware A fails, the monitoring and evaluation control module starts a failure monitoring and evaluation terminal to monitor the high-risk associated equipment firmware preferentially, calls the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine generator set historical database, constructs a monitoring and evaluation control model, and outputs the predicted priority monitoring duration of the failure monitoring and evaluation terminal to the high-risk associated equipment firmware; the early warning module acquires weather data based on the predicted priority monitoring time, and early warns an administrator port if extreme weather data exists in the predicted priority monitoring time;
the output end of the equipment operation and maintenance module is connected with the input end of the fault concurrency processing module; the output end of the wind turbine generator system history database is connected with the input ends of the fault concurrency processing module and the monitoring evaluation control module; the output end of the fault concurrency processing module is connected with the input end of the monitoring and evaluating control module; the output end of the monitoring evaluation control module is connected with the input end of the early warning module.
The control system refers to the control terminal integration of various device firmware and is used for controlling the start and stop of various device components; the electric system refers to an energy conversion system, and the mechanical energy contained in the wind wheel with the rotating speed change is converted into stable alternating current consistent with the voltage frequency parameter of the power grid through the energy conversion system; the blade generator set refers to direct equipment in the wind turbine generator set, and comprises blades and a generator set; the fault monitoring and evaluating terminal is used for monitoring, analyzing and evaluating data of faults of various equipment firmware of the wind turbine generator.
The fault concurrency processing module comprises a data calling unit and a concurrency analysis unit;
the data calling unit is used for calling a historical database of the wind turbine generator to obtain any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and the independent maintenance duration of the fault equipment firmware A is obtained; and calling out maintenance records related to the fault equipment firmware A in a wind turbine generator system historical database, wherein any group of maintenance records should contain the fault equipment firmware A and N related equipment firmware of the firmware A, N is an integer greater than or equal to 0, and the maintenance duration of each group of maintenance records is acquired.
The concurrency analysis unit establishes a time proportion system under the concurrency fault based on the maintenance duration data, forms maintenance time proportion values when the multidimensional concurrency fault is formed, sorts the maintenance time proportion values from large to small based on the proportion values, marks priority of the concurrency fault, builds an influence model of associated equipment firmware of the firmware A, and outputs high-risk associated equipment firmware of the firmware A.
The monitoring evaluation control module comprises a monitoring unit and an evaluation unit;
when the equipment firmware A fails, the monitoring unit starts a failure monitoring and evaluating terminal to monitor the high-risk associated equipment firmware preferentially; the evaluation unit is used for calling the interval duration of faults between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine generator set historical database, constructing a monitoring evaluation control model, and outputting the predicted priority monitoring duration of the fault monitoring evaluation terminal to the high-risk associated equipment firmware;
the output end of the monitoring unit is connected with the input end of the evaluation unit.
The early warning module comprises a weather unit and an early warning unit;
the weather unit acquires weather data based on the predicted priority monitoring time length; the early warning unit early warns an administrator port when extreme weather data exists in the predicted priority monitoring time;
the extreme weather data refer to stormy weather, ten-level and above wind weather;
the output end of the weather unit is connected with the input end of the early warning unit.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The equipment operation and maintenance and fault monitoring on-line evaluation method is characterized in that: the method comprises the following steps:
s1, constructing an operation and maintenance system of wind turbine equipment, wherein the operation and maintenance system comprises a control system, an electrical system, a blade generator set and a fault monitoring and evaluating terminal, and a data channel is connected with a decision port of an administrator;
s2, calling a wind turbine generator set historical database to acquire any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and acquiring independent maintenance duration of the fault equipment firmware A;
s3, calling out maintenance records related to the fault equipment firmware A in a wind turbine generator system historical database, wherein any group of maintenance records should contain the fault equipment firmware A and associated equipment firmware of N kinds of firmware A, N is an integer greater than or equal to 0, and the maintenance duration of each group of maintenance records is acquired;
s4, based on the maintenance duration data of the steps S2-S3, a time proportion system under concurrent faults is established, maintenance time proportion values under multidimensional concurrent faults are formed, the maintenance time proportion values are ordered from large to small based on the proportion values, priorities of the concurrent faults are marked, an influence model of associated equipment firmware of the firmware A is built, and high-risk associated equipment firmware of the firmware A is output;
s5, when the equipment firmware A fails, starting a failure monitoring and evaluating terminal, preferentially monitoring the high-risk associated equipment firmware, calling the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in a wind turbine generator historical database, constructing a monitoring and evaluating control model, and outputting the predicted priority monitoring duration of the failure monitoring and evaluating terminal to the high-risk associated equipment firmware;
s6, acquiring weather data based on the predicted priority monitoring time, and early warning to an administrator port if extreme weather data exist in the predicted priority monitoring time;
further comprises:
the control system refers to the control terminal integration of various device firmware and is used for controlling the start and stop of various device components; the electric system refers to an energy conversion system, and the mechanical energy contained in the wind wheel with the rotating speed change is converted into stable alternating current consistent with the voltage frequency parameter of the power grid through the energy conversion system; the blade generator set refers to direct equipment in the wind turbine generator set, and comprises blades and a generator set; the fault monitoring and evaluating terminal is used for monitoring, analyzing and evaluating data of faults of various equipment firmware of the wind turbine generator;
the wind turbine generator set history database comprises maintenance records, fault reasons and fault time points of various equipment firmware;
the influence model of the associated device firmware of the firmware A comprises the following steps:
any fault equipment firmware A is obtained, maintenance records related to the fault equipment firmware A are called out in a wind turbine generator set history database, the maintenance duration of each group of maintenance records is obtained, and data series output is carried out according to the associated equipment firmware of the firmware A in the maintenance records: { A, A, … …, AJ }; wherein A1, … …, AJ refer to the associated device firmware of firmware A in the maintenance record, representing the associated device firmware of each firmware A participating in the maintenance record;
acquiring independent maintenance time of the firmware A, acquiring independent maintenance time of associated equipment firmware of each firmware A, and constructing an influence model of the associated equipment firmware of the firmware A:
；
wherein,indicating a maintenance time proportion value when concurrent faults occur; />Refers to the total duration of the maintenance record; />Refer to the individual maintenance duration of device firmware m; k refers to the total number of device firmware involved in the repair record;
calculating maintenance time proportion values of all maintenance records, outputting the maintenance time proportion values to the inside of a set, setting a selection threshold value N by a system, selecting N groups of maintenance time proportion values in the inside of the set according to the sequence from large to small, respectively acquiring equipment firmware in each group of maintenance records corresponding to the N groups of maintenance time proportion values, and selecting the associated equipment firmware with the largest occurrence number except A as high-risk associated equipment firmware of firmware A;
the method for selecting the threshold value N comprises the following steps:
acquiring all combination modes in the maintenance records, wherein the combination modes refer to all equipment firmware contained in any maintenance record, and if all the equipment firmware contained in the two groups of maintenance records are the same, the two groups of maintenance records belong to the same combination mode;
forming coordinates according to the number of the equipment firmware in each combination mode, and writing the coordinates into a rectangular coordinate system, wherein the abscissa of each coordinate is randomly valued between 0 and 1, and 0 or 1 is not taken; taking the number value of the equipment fixing number in each combination mode by the ordinate to form a data distribution column between 0 and 1;
constructing a data distribution model:
；
wherein,data distribution interval values; />、/>、/>、/>Respectively represent weight distribution coefficient values, wherein the sum of the coefficient values is 1, and +.>、/>、/>、/>For decreasing the proportional value c +.>And->Is the coefficient minimum; />、/>、/>、/>Normalized values corresponding to the number of the equipment fixing members from small to large respectively;
the system sets different data distribution intervals, each data distribution interval is set with an N value, and the N value is set in the data distribution intervalWhen the data fall into any data distribution interval, correspondingly selecting an N value corresponding to the data distribution interval;
the construction of the monitoring evaluation control model comprises the following steps:
when the equipment firmware A fails, calling the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine historical database under the wind turbine historical database to form a data list { R1, R2, … … and Ru }; wherein R1, R2, … … and Ru respectively represent the interval duration of faults between the equipment firmware A and the high-risk associated equipment firmware in the u maintenance records;
then there are:
；
wherein,representing the prediction priority monitoring time length of the output fault monitoring and evaluating terminal to the high-risk associated equipment firmware;the output fault monitoring and evaluating terminal is represented to predict and monitor the duration of priority in the ith period of the high-risk associated equipment firmware; />Represents a smoothing constant, the value range of which is 0 to 1, excluding the end points;
and acquiring weather data based on the predicted priority monitoring time, and if extreme weather data exists in the predicted priority monitoring time, pre-warning to an administrator port.
2. The equipment operation and fault monitoring on-line evaluation system applying the equipment operation and fault monitoring on-line evaluation method as claimed in claim 1, characterized in that: the system comprises: the system comprises a device operation and maintenance module, a wind turbine generator set historical database, a fault concurrency processing module, a monitoring and evaluation control module and an early warning module;
the equipment operation and maintenance module is used for constructing an operation and maintenance system of the wind turbine generator equipment, the operation and maintenance system comprises a control system, an electrical system, a blade generator set and a fault monitoring and evaluating terminal, and a decision port of an administrator is connected with a data channel; the wind turbine generator system history database is used for storing maintenance records, fault reasons and fault time points of various equipment firmware; the fault concurrency processing module is used for calling a wind turbine generator set historical database to obtain any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and the independent maintenance duration of the fault equipment firmware A is obtained; the method comprises the steps that maintenance records related to fault equipment firmware A are called out from a wind turbine generator system historical database, any group of maintenance records should contain the fault equipment firmware A and associated equipment firmware of N kinds of firmware A, N is an integer greater than or equal to 0, and maintenance duration of each group of maintenance records is obtained; based on the maintenance duration data, a time proportion system under concurrent faults is established, maintenance time proportion values under multidimensional concurrent faults are formed, the maintenance time proportion values are ordered from large to small based on the proportion values, priority of the concurrent faults is marked, an influence model of associated equipment firmware of the firmware A is constructed, and high-risk associated equipment firmware of the firmware A is output; when the equipment firmware A fails, the monitoring and evaluation control module starts a failure monitoring and evaluation terminal to monitor the high-risk associated equipment firmware preferentially, calls the interval duration of failure between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine generator set historical database, constructs a monitoring and evaluation control model, and outputs the predicted priority monitoring duration of the failure monitoring and evaluation terminal to the high-risk associated equipment firmware; the early warning module acquires weather data based on the predicted priority monitoring time, and early warns an administrator port if extreme weather data exists in the predicted priority monitoring time;
the output end of the equipment operation and maintenance module is connected with the input end of the fault concurrency processing module; the output end of the wind turbine generator system history database is connected with the input ends of the fault concurrency processing module and the monitoring evaluation control module; the output end of the fault concurrency processing module is connected with the input end of the monitoring and evaluating control module; the output end of the monitoring evaluation control module is connected with the input end of the early warning module.
3. The equipment operation and maintenance and fault monitoring on-line assessment system according to claim 2, wherein: the control system refers to the control terminal integration of various device firmware and is used for controlling the start and stop of various device components; the electric system refers to an energy conversion system, and the mechanical energy contained in the wind wheel with the rotating speed change is converted into stable alternating current consistent with the voltage frequency parameter of the power grid through the energy conversion system; the blade generator set refers to direct equipment in the wind turbine generator set, and comprises blades and a generator set; the fault monitoring and evaluating terminal is used for monitoring, analyzing and evaluating data of faults of various equipment firmware of the wind turbine generator.
4. The equipment operation and maintenance and fault monitoring on-line assessment system according to claim 2, wherein: the fault concurrency processing module comprises a data calling unit and a concurrency analysis unit;
the data calling unit is used for calling a historical database of the wind turbine generator to obtain any fault equipment firmware A and marking associated equipment firmware of the firmware A, wherein the associated equipment firmware refers to equipment firmware which has a connection relation with the equipment firmware A, and the independent maintenance duration of the fault equipment firmware A is obtained; and calling out maintenance records related to the fault equipment firmware A in a wind turbine generator system historical database, wherein any group of maintenance records should contain the fault equipment firmware A and N related equipment firmware of the firmware A, N is an integer greater than or equal to 0, and the maintenance duration of each group of maintenance records is acquired.
5. The equipment operation and fault monitoring on-line assessment system according to claim 4, wherein: the concurrency analysis unit establishes a time proportion system under the concurrency fault based on the maintenance duration data, forms maintenance time proportion values when the multidimensional concurrency fault is formed, sorts the maintenance time proportion values from large to small based on the proportion values, marks priority of the concurrency fault, builds an influence model of associated equipment firmware of the firmware A, and outputs high-risk associated equipment firmware of the firmware A.
6. The equipment operation and fault monitoring on-line assessment system according to claim 5, wherein: the monitoring evaluation control module comprises a monitoring unit and an evaluation unit;
when the equipment firmware A fails, the monitoring unit starts a failure monitoring and evaluating terminal to monitor the high-risk associated equipment firmware preferentially; the evaluation unit is used for calling the interval duration of faults between the equipment firmware A and the high-risk associated equipment firmware in the same maintenance record in the wind turbine generator set historical database, constructing a monitoring evaluation control model, and outputting the predicted priority monitoring duration of the fault monitoring evaluation terminal to the high-risk associated equipment firmware;
the output end of the monitoring unit is connected with the input end of the evaluation unit.
7. The equipment operation and maintenance and fault monitoring on-line assessment system according to claim 2, wherein: the early warning module comprises a weather unit and an early warning unit;
the weather unit acquires weather data based on the predicted priority monitoring time length; the early warning unit early warns an administrator port when extreme weather data exists in the predicted priority monitoring time;
the extreme weather data refer to stormy weather, ten-level and above wind weather;
the output end of the weather unit is connected with the input end of the early warning unit.
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