CN117108440A - Fault early warning method and system for hydraulic device of hydropower station governor - Google Patents
Fault early warning method and system for hydraulic device of hydropower station governor Download PDFInfo
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Abstract
The application discloses a fault early warning method and a system for a hydraulic device of a hydropower station governor, which relate to the technical field of hydropower stations and comprise the steps of collecting data of each unit by utilizing a data collecting module; preprocessing the acquired data by utilizing a data analysis module; preprocessing data to obtain prediction data through characteristic engineering, and checking the prediction data; and judging the running state of the oil pressure device of the governor according to the data of the test result. According to the hydraulic device fault early warning method for the hydropower station governor, an artificial intelligent technology is introduced into the state monitoring field of the governor hydraulic device, an intelligent monitoring system is utilized to establish an on-line technical supervision index system of generator set equipment, the relevant operation parameters of each component of the governor hydraulic device can be monitored in real time, the possibility of accident occurrence is early judged, and an operation attendant can receive relevant early warning information before the accident occurrence as early as possible, so that the problem of outage of the hydropower station set in an unscheduled range is avoided as far as possible.
Description
Technical Field
The application relates to the technical field of hydropower stations, in particular to a method and a system for early warning faults of a hydraulic device of a hydropower station governor.
Background
At present, the power generation enterprises are urgent to meet the requirements of safety and stability of power production by optimizing production and combining scientific and efficient management means, to realize the requirements, normal operation of equipment is required to be ensured, production benefits are improved, unnecessary equipment maintenance time is reduced, and therefore, reliable equipment monitoring means are utilized to improve control over the operation state of the equipment, planning and pertinence of equipment maintenance are enhanced, and a management mode of predictive maintenance is imperative.
Conventionally, the management concept of equipment is a mode of conducting preventive and predictive maintenance planning. Meanwhile, with the rapid development of industry, the management of equipment maintenance has evolved gradually to state maintenance. The essence of the state maintenance is that: by means of advanced technical means, various data of the equipment are collected, analyzed and compared with historical data, and the data of the equipment are pre-judged, so that whether shutdown maintenance needs to be reasonably arranged or not is determined. How to safely and effectively monitor the power equipment in real time and accurately acquire the fault information of the equipment is of great significance to the production and construction of the power equipment.
The unplanned shutdown of the unit can cause certain loss of the safe production and operation performance of the water supply station, and the unplanned shutdown of the high-capacity unit can even influence the safe and stable operation of the power grid. The problem that the hydraulic power station unit is possibly out of operation due to the fact that the oil pressure of the governor is low due to accidents is solved, the possibility of the occurrence of the accidents is found early in order to avoid the problem that the hydraulic power station unit is out of operation due to the fact that the accidents occur as far as possible, and an operating attendant can receive relevant information before the occurrence of the accidents early, so that more time is strived for subsequent field treatment.
For the hydropower station with unmanned duty and less duty, in order to avoid the problem of unplanned shutdown of the hydropower station unit as much as possible, the possibility of the accident should be early judged, and the operator on duty should be early informed of the related early warning information before the accident.
The artificial intelligent technology is introduced into the field of state monitoring, an on-line technical supervision index system of the generator set equipment is established by utilizing the intelligent monitoring system, and real-time early warning is carried out on relevant operation parameters of the equipment. The system structure constructs a closed loop system by adopting technologies of information acquisition, network transmission, data processing and the like, such as perception, transmission, analysis, decision making and execution, so as to realize the integration of physics and information, improve the global, intelligent and humanized aspects of the system, and further realize the purpose of real-time early warning of power equipment, which is one of the trend of intelligent power development in the future.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present application has been made in view of the above-mentioned and/or existing problems associated with a method for warning of a malfunction of a hydraulic device of a hydroelectric power station governor.
Accordingly, the present application solves the problems of: the hydraulic power station unit can cause the problem of unplanned outage of low oil pressure due to the accident of a governor oil pressure device.
In order to solve the technical problems, the application provides the following technical scheme: a hydropower station governor oil pressure device fault early warning method comprises the steps of collecting data of each unit by using a data collecting module; preprocessing the acquired data by utilizing a data analysis module; preprocessing data to obtain prediction data through characteristic engineering, and checking the prediction data; and judging the running state of the oil pressure device of the governor according to the data of the test result.
As a preferable scheme of the hydraulic device fault early warning method of the hydropower station governor, the application comprises the following steps: the unit data comprises a pressure data acquisition unit of a pressure oil tank, an oil level data acquisition unit of the pressure oil tank, an oil level data acquisition unit of an oil leakage tank and an oil level data acquisition unit of an oil return tank; the pressure data acquisition unit of the pressure oil tank is used for acquiring pressure data of the pressure oil tank in the hydraulic device of the hydro-generator set governor; the oil level data acquisition unit of the oil tank is used for acquiring oil level data of the oil tank in the oil pressure device of the governor; the oil leakage tank oil level data acquisition unit is used for acquiring oil level data of an oil leakage tank in the governor oil pressure device; the oil return tank oil level data acquisition unit is used for acquiring oil level data of an oil return tank in the governor oil pressure device.
As a preferable scheme of the hydraulic device fault early warning method of the hydropower station governor, the application comprises the following steps: the preprocessing comprises the steps of processing collected pressure data of the oil pressing tank, oil level data of the oil leakage tank and oil level data of the oil return tank through a piecewise linear interpolation method to obtain preprocessing data, setting the data length of the preprocessing data, and dividing a training data set, a verification data set and a test data set according to the time range length of 2:1:1.
As a preferable scheme of the hydraulic device fault early warning method of the hydropower station governor, the application comprises the following steps: the prediction data comprises the following prediction data obtained by predicting the preprocessing data of the previous time through characteristic engineering; in the feature engineering, the data analysis module sets preprocessing data collected each time as a window, carries out rolling statistics on the window, and takes predicted data of summary statistics in the rolling window as the features in the next predicted data; the feature engineering is expressed as:
feature_i＝(x(i)×a i-i+1 +x(i-1)×a i-(i-1)+1 +...+x(i-n+1)×a i-(i-n+1)+1 )/(a i-i+1 +a i-(i-1)+1 ...a i-(i-n+1)+1 )
wherein feature_i is predicted data of an ith time point, x (i) is preprocessed data of the ith time point, i is a time point, n is less than or equal to i is less than or equal to m, a is an attenuation coefficient, data at an early time point decays at an exponential level, a is between 0 and 1, the decay speed of the data along with time is controlled, and a large value of a indicates faster decay; the step of checking the predicted data comprises the step of checking the predicted data by adopting a Mann-Kendall trend checking method, and sending the obtained checking result data to an intelligent fault early warning module.
As a preferable scheme of the hydraulic device fault early warning method of the hydropower station governor, the application comprises the following steps: the step of judging the running state of the governor oil pressure device comprises the steps of comparing the normal running state of the governor oil pressure device according to the data of the checking result, and judging that the governor oil pressure device is in the normal running state if the data change is consistent with the data change in the normal running state; if the data change is inconsistent with the data change in the normal running state, judging that the governor oil pressure device is in an abnormal running state, and sending out device fault early warning information; the normal running state comprises that the oil pump is started according to a fixed value of 5.8Mpa, the oil pump is stopped after 3 minutes according to the normal running data trend, and the oil pressure of the oil pressure device is increased to the oil pressure of 6.3Mpa when the oil pump is stopped.
As a preferable scheme of the hydraulic device fault early warning method of the hydropower station governor, the application comprises the following steps: the normal operation state comprises that when an oil pump of the oil pressure device of the governor operates, oil in an oil return tank of the oil pressure device of the governor is pumped to an oil tank of the oil pressure device of the governor, the oil level of the oil return tank of the oil pressure device of the governor is lowered, the oil level and the pressure of the oil tank of the oil pressure device of the governor are raised, and the oil level of the oil tank of the oil pressure device of the governor is unchanged; when an automatic air compensating valve of the governor oil pressure device is fully opened, an oil tank of the governor oil pressure device is compensated with air, the oil level of the oil tank of the governor oil pressure device is unchanged, the pressure is increased, and the oil level of an oil return tank of the governor oil pressure device and the oil level of an oil leakage tank of the governor oil pressure device are unchanged; when the opening degree of the guide vane changes, discharging oil in a pressure oil tank of the governor oil pressure device to an oil return tank of the governor oil pressure device, wherein the oil level and the pressure of the pressure oil tank of the governor oil pressure device are reduced, the oil level of the oil return tank of the governor oil pressure device is increased, and the oil level of the oil leakage tank of the governor oil pressure device is slightly increased; when the oil leakage pump of the oil pressure device of the governor runs, oil in the oil leakage tank of the oil pressure device of the governor is pumped to the oil return tank of the oil pressure device of the governor, the oil level of the oil leakage tank of the oil pressure device of the governor is lowered, the oil level of the oil return tank of the oil pressure device of the governor is raised, and the oil level and the pressure of the oil tank of the oil pressure device of the governor are unchanged.
As a preferable scheme of the hydraulic device fault early warning method of the hydropower station governor, the application comprises the following steps: the abnormal operation state comprises that when an oil pump of the oil pressure device of the governor operates, the oil level of an oil return tank of the oil pressure device of the governor is unchanged, the oil level and the pressure of an oil tank of the oil pressure device of the governor are unchanged, and fault early warning information of blocking or leakage of an oil return pipeline is sent; when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is unchanged, the oil level and the pressure of an oil tank of the governor oil pressure device are reduced, and fault early warning information of the sealing condition of an oil supply pipeline of the oil tank and a pump body is sent out; when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is reduced, the oil level and the pressure of an oil tank of the governor oil pressure device are unchanged, and fault early warning information of an oil return pipeline, an oil return filter or leakage conditions is sent out; when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is reduced, the oil level and the pressure of an oil tank of the governor oil pressure device are reduced, and fault early warning information of the whole governor oil pressure device is sent out; when an oil leakage pump of the oil pressure device of the governor runs, the oil level of an oil leakage tank of the oil pressure device of the governor is unchanged, and the oil level of an oil return tank of the oil pressure device of the governor is unchanged, so that fault early warning information of connection and sealing conditions of the oil leakage pump is sent out; when the oil leakage pump of the oil pressure device of the governor runs, the oil level of the oil leakage tank of the oil pressure device of the governor is lowered, the oil level of the oil return tank of the oil pressure device of the governor is unchanged, and fault early warning information of an oil leakage pipeline, a connecting piece or leakage condition is sent out.
Another object of the present application is to provide a system for a hydraulic device failure warning method of a hydropower station governor, which can fully mobilize the failure warning capability by constructing a warning system.
In order to solve the technical problems, the application provides the following technical scheme: a fault early warning system of a hydraulic device of a hydropower station governor comprises a data acquisition module, a data analysis module and an intelligent fault early warning module; the data acquisition module is used for acquiring operation data of each component in the governor oil pressure device; the data analysis module is used for preprocessing the operation data of each component, predicting the operation data according to the preprocessed data to obtain predicted data, and carrying out data trend test on the predicted data to obtain test result data; the intelligent fault early warning module is used for judging whether the running state of the governor oil pressure device is normal according to the obtained test result data after the data trend test, and when the governor oil pressure device is in an abnormal state, device fault early warning information is sent out.
A computer device comprising a memory and a processor, said memory storing a computer program, characterized in that said processor, when executing said computer program, implements the steps of a hydropower station governor oil pressure device failure warning method as described above.
A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of a hydropower station governor oil pressure device failure warning method as described above.
The application has the beneficial effects that: according to the fault early warning method for the hydraulic device of the hydropower station governor, disclosed by the application, the artificial intelligent technology is introduced into the field of state monitoring of the hydraulic device of the governor, an online technical supervision index system of the generator set equipment is established by utilizing the intelligent monitoring system, so that the related operation parameters of each part of the hydraulic device of the governor can be monitored in real time, the possibility of accident occurrence is early judged, and an operation operator can early receive related early warning information before the accident occurrence, so that the problem of outage of the hydropower station set in an unplanned range is avoided as much as possible.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is an overall flowchart of a method for early warning of a malfunction of a hydraulic device of a hydropower station governor according to an embodiment of the present application.
Fig. 2 is a trend chart of the normal operation state of the hydraulic device fault early warning method of the hydropower station governor according to the first embodiment of the application.
Fig. 3 is a block diagram of a hydraulic device fault early warning system of a hydropower station according to a second embodiment of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the application will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the application. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
Referring to fig. 1 and 2, a first embodiment of the present application provides a method for early warning of a malfunction of a hydraulic device of a hydropower station governor, including: collecting data of each unit by using a data collecting module; preprocessing the acquired data by utilizing a data analysis module; preprocessing data to obtain prediction data through characteristic engineering, and checking the prediction data; and judging the running state of the oil pressure device of the governor according to the data of the test result.
Furthermore, by introducing an artificial intelligence technology into the state monitoring field of the regulator oil pressure device, an intelligent monitoring system is utilized to establish an on-line technical supervision index system of generator set equipment, so that the related operation parameters of each component of the regulator oil pressure device can be monitored in real time, the possibility of accident occurrence is early judged, and an operation attendant can receive related early warning information before the accident occurrence as early as possible, thereby avoiding the problem of shutdown of the hydropower station unit in an unplanned range as possible.
The data acquisition module comprises: the pressure data acquisition unit is used for acquiring pressure data of the pressure oil tank in the hydraulic device of the hydro-generator set governor and sending the obtained pressure data of the pressure oil tank to the data analysis module.
The oil level data acquisition unit is used for acquiring oil level data of the oil tank in the oil pressure device of the governor and sending the obtained oil level data of the oil tank to the data analysis module.
The oil-leakage-tank oil-level data acquisition unit is used for acquiring oil-level data of an oil-leakage tank in the oil pressure device of the governor and sending the obtained oil-level data of the oil-leakage tank to the data analysis module.
The oil return tank oil level data acquisition unit is used for acquiring oil level data of an oil return tank in the oil pressure device of the governor and sending the obtained oil level data of the oil return tank to the data analysis module.
Further, the working principle of the oil pressure device of the governor is that when the opening degree of the guide vane of the machine set changes, the oil pressure tank provides hydraulic power for the guide vane of the machine set, most of oil in the oil pressure tank is discharged to the oil return tank, and a small amount of oil is discharged to the oil leakage tank; when the pressure of the oil tank is reduced to 5.8Mpa, the oil pump of the oil pressure device operates, oil in the oil return tank is pumped to the oil tank, and after the pressure of the oil tank is reduced to 6.3Mpa, the five oil pumps stop operating; when the pressure of the pressure oil tank is reduced to 6.1Mpa and the oil level of the pressure oil tank is 950mm (the relation of the pressure oil tank and the pressure oil tank), the automatic air supplementing valve is fully opened to supplement air to the pressure oil tank, and the automatic air supplementing valve is fully closed after the air supplementing is carried out to 6.3Mpa, and the air supplementing is stopped; when the oil level of the oil leakage tank reaches 450mm, the oil leakage pump operates to pump oil of the oil leakage tank to the oil return tank, and when the oil level of the oil leakage tank is reduced to 200mm, the oil leakage pump stops operating.
As shown in fig. 2, the oil pump is started according to a fixed value of 5.8Mpa, according to the trend of normal operation data, the oil pump should stop after 3 minutes, the oil pressure of the oil pressure device should rise to the stop oil pressure of 6.3Mpa, as a result, the oil pump operation is not stopped for more than 3 minutes, and the oil pressure of the oil pressure device also does not reach the predicted trend value of 6.3Mpa, so that the oil pressure device is considered to be in an abnormal operation state, possibly the oil pressure device leaks oil, possibly the oil pump is idling, and the oil pump efficiency is reduced.
The data analysis module processes the collected pressure data of the oil pressing tank, the oil level data of the oil leakage tank and the oil level data of the oil return tank through a piecewise linear interpolation method to obtain preprocessing data.
Because the start-stop precision of the oil pump is second, and the current precision of the related parameter data of the oil pressure device of the governor is two of 5 seconds and 30 seconds, interpolation processing is needed to be carried out on the data in order to reduce the error of subsequent judgment, and according to the characteristics of the data and the subsequent requirement on real-time calculation, the piecewise linear interpolation method with small operand and small interpolation error is adopted, and the data precision is aligned to the second, so that the time precision can be improved.
The data analysis module also sets the data length of the preprocessed data, and divides the training data set, the verification data set and the test data set according to the time range length of 2:1:1.
The data analysis module predicts the next predicted data through feature engineering according to the pre-processed data at the given previous time.
The feature engineering is expressed as:
feature_i＝(x(i)×a i-i+1 +x(i-1)×a i-(i-1)+1 +...+x(i-n+1)×a i-(i-n+1)+1 )/(a i-i+1 +a i-(i-1)+1 ...a i-(i-n+1)+1 )
wherein feature_i is predicted data of an ith time point, x (i) is preprocessed data of the ith time point, i is time point, n is window number, a is attenuation coefficient, data of an early time point is attenuated at an exponential level, a is between 0 and 1, attenuation speed of the data along with time is controlled, and a large value of a indicates faster attenuation.
And the data analysis module also adopts a Mann-Kendall trend test method to test the predicted data and sends the obtained test result data to the intelligent fault early warning module.
The data trend test adopts a Mann-Kendall trend test method, and the method is suitable for analyzing time series data with continuous increasing or decreasing trend, does not require the data to meet the assumption of specific distribution, is not influenced by abnormal values, and can avoid errors caused by abnormal data in measured data.
The intelligent fault early warning module compares the data of the governor oil pressure device in normal and abnormal operation states according to the data of the inspection result, judges that the governor oil pressure device is in the normal operation state when the data is consistent with the data change in the normal operation state, judges that the governor oil pressure device is in the abnormal operation state when the data is inconsistent with the data change in the normal operation state, and sends out device fault early warning information.
Further, for the problem that the hydraulic power station unit is possibly in an unplanned outage due to low oil pressure of the oil pressure device of the governor in the unmanned on duty and the less on duty hydropower station, the possibility of the occurrence of the accident can be found early through the intelligent fault early warning module in order to avoid the problem that the hydraulic power station unit is in the unplanned outage due to the occurrence of the accident as far as possible, and an operating operator can receive related information before the occurrence of the accident early, so that more time can be strived for subsequent field treatment.
The operating states of all the components when the governor oil pressure device is in a normal operating state are as follows: when the oil pump of the governor oil pressure device operates, oil in the oil return tank of the governor oil pressure device is pumped to the oil tank of the governor oil pressure device, the oil level of the oil return tank of the governor oil pressure device is lowered, the oil level and the pressure of the oil tank of the governor oil pressure device are raised, and the oil level of the oil tank of the governor oil pressure device is unchanged. When the automatic air compensating valve of the governor oil pressure device is fully opened, the oil tank of the governor oil pressure device is compensated with air, the oil level of the oil tank of the governor oil pressure device is unchanged, the pressure is increased, and the oil level of the oil return tank of the governor oil pressure device and the oil level of the oil leakage tank of the governor oil pressure device are unchanged. When the opening degree of the guide vane changes, the oil in the oil tank of the oil pressure device of the governor is discharged to the oil return tank of the oil pressure device of the governor, the oil level and the pressure of the oil tank of the oil pressure device of the governor are reduced, the oil level of the oil return tank of the oil pressure device of the governor is increased, and the oil level of the oil tank of the oil pressure device of the governor is slightly increased. When the oil leakage pump of the oil pressure device of the governor runs, oil in the oil leakage tank of the oil pressure device of the governor is pumped to the oil return tank of the oil pressure device of the governor, the oil level of the oil leakage tank of the oil pressure device of the governor is lowered, the oil level of the oil return tank of the oil pressure device of the governor is raised, and the oil level and the pressure of the oil tank of the oil pressure device of the governor are unchanged.
The operation states of all the components when the governor oil pressure device is in an abnormal operation state are as follows: when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is unchanged, the oil level and the pressure of an oil tank of the governor oil pressure device are unchanged, and fault early warning information of the condition that an oil return pipeline is blocked or leaked is sent out; when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is unchanged, the oil level and the pressure of an oil tank of the governor oil pressure device are reduced, and fault early warning information of the sealing condition of an oil supply pipeline of the oil tank and a pump body is sent out; when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is reduced, the oil level and the pressure of an oil tank of the governor oil pressure device are unchanged, and fault early warning information of an oil return pipeline, an oil return filter or leakage conditions is sent out; when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is reduced, the oil level and the pressure of an oil tank of the governor oil pressure device are reduced, and fault early warning information of the whole governor oil pressure device is sent out; when an oil leakage pump of the oil pressure device of the governor runs, the oil level of an oil leakage tank of the oil pressure device of the governor is unchanged, and the oil level of an oil return tank of the oil pressure device of the governor is unchanged, so that fault early warning information of connection and sealing conditions of the oil leakage pump is sent out; when the oil leakage pump of the oil pressure device of the governor runs, the oil level of the oil leakage tank of the oil pressure device of the governor is lowered, the oil level of the oil return tank of the oil pressure device of the governor is unchanged, and fault early warning information of an oil leakage pipeline, a connecting piece or leakage condition is sent out.
In the feature engineering, the data analysis module sets the preprocessing data collected each time as a window, carries out rolling statistics on the window, and takes the predicted data of the summarized statistics of the value in the rolling window as the features in the following predicted data.
The selection of a given data includes: the pressure of the oil pressing tank of the governor oil pressing device, the oil level of the oil pressing tank, the average value, the variance, the maximum value, the minimum value, the skewness value and the kurtosis value of the oil level of the oil leakage tank and the oil level of the oil return tank.
Example 2
Referring to fig. 3, in a second embodiment of the present application, unlike the previous embodiment, there is provided a hydraulic device failure warning system for a hydropower station governor, including: the intelligent fault early warning system comprises a data acquisition module, a data analysis module and an intelligent fault early warning module.
And the data acquisition module is used for acquiring the operation data of each component in the governor oil pressure device.
The data analysis module is used for preprocessing the operation data of each component, predicting the operation data according to the preprocessed data to obtain predicted data, and carrying out data trend test on the predicted data to obtain test result data.
And the intelligent fault early warning module is used for judging whether the running state of the governor oil pressure device is normal according to the test result data obtained after the data trend test, and sending out device fault early warning information when the governor oil pressure device is in an abnormal state.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Example 3
A third embodiment of the present application, which is different from the first two embodiments, is: the technical effects adopted in the application are verified and explained to verify the true effects of the method.
At present, the power generation enterprises are urgent to meet the requirements of safety and stability of power production by optimizing production and combining scientific and efficient management means, to realize the requirements, normal operation of equipment is required to be ensured, production benefits are improved, unnecessary equipment maintenance time is reduced, and therefore, reliable equipment monitoring means are utilized to improve control over the operation state of the equipment, planning and pertinence of equipment maintenance are enhanced, and a management mode of predictive maintenance is imperative.
Conventionally, the management concept of equipment is a mode of conducting preventive and predictive maintenance planning. Meanwhile, with the rapid development of industry, the management of equipment maintenance has evolved gradually to state maintenance. The essence of the state maintenance is that: by means of advanced technical means, various data of the equipment are collected, analyzed and compared with historical data, and the data of the equipment are pre-judged, so that whether shutdown maintenance needs to be reasonably arranged or not is determined. How to safely and effectively monitor the power equipment in real time and accurately acquire the fault information of the equipment is of great significance to the production and construction of the power equipment.
The unplanned shutdown of the unit can cause certain loss of the safe production and operation performance of the water supply station, and the unplanned shutdown of the high-capacity unit can even influence the safe and stable operation of the power grid. The problem that the hydraulic power station unit is possibly out of operation due to the fact that the oil pressure of the governor is low due to accidents is solved, the possibility of the occurrence of the accidents is found early in order to avoid the problem that the hydraulic power station unit is out of operation due to the fact that the accidents occur as far as possible, and an operating attendant can receive relevant information before the occurrence of the accidents early, so that more time is strived for subsequent field treatment.
The artificial intelligent technology is introduced into the field of state monitoring, an on-line technical supervision index system of the generator set equipment is established by utilizing the intelligent monitoring system, and real-time early warning is carried out on relevant operation parameters of the equipment. The system structure constructs a closed loop system by adopting technologies of information acquisition, network transmission, data processing and the like, such as perception, transmission, analysis, decision making and execution, so as to realize the integration of physics and information, improve the global, intelligent and humanized aspects of the system, and further realize the purpose of real-time early warning of power equipment, which is one of the trend of intelligent power development in the future.
The present embodiment simultaneously detects the failure of the oil pressure device by using the conventional method and the my application method, and the detection and comparison results thereof are shown in the following table:
table 1 comparison table of conventional method and my application method
| Judging the category | Conventional method | My invent method |
| Monitoring time required for failure | 15min | 20s |
| Prejudging accident accuracy | 81％ | 92％ |
| Cost of | High height | Low and low |
As can be seen from the comparison results, the time required for monitoring faults of the my application method is 20 seconds, which is 880 seconds less than 15 minutes of the traditional method, the accuracy of the pre-judging accidents of the my application method is 92% which is 11% higher than 81% of the traditional method, and the cost of the my application method is much lower than that of the traditional method.
According to the application, an artificial intelligent technology is introduced into the state monitoring field of the regulator oil pressure device, an intelligent monitoring system is utilized to establish an on-line technical supervision index system of generator set equipment, so that the related operation parameters of each component of the regulator oil pressure device can be monitored in real time, the possibility of accident occurrence is early judged, and an operation attendant can receive related early warning information before the accident occurrence as early as possible, thereby avoiding the problem of shutdown of the hydropower station in an unplanned range as possible.
It should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present application may be modified or substituted without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered in the scope of the claims of the present application.
Claims (10)
1. A hydropower station governor oil pressure device fault early warning method is characterized in that: comprising the steps of (a) a step of,
collecting data of each unit by using a data collecting module;
preprocessing the acquired data by utilizing a data analysis module;
preprocessing data to obtain prediction data through characteristic engineering, and checking the prediction data;
and judging the running state of the oil pressure device of the governor according to the data of the test result.
2. The method for early warning of a malfunction of a hydraulic device of a hydroelectric power station governor according to claim 1, wherein the method comprises the steps of: the unit data comprises a pressure data acquisition unit of a pressure oil tank, an oil level data acquisition unit of the pressure oil tank, an oil level data acquisition unit of an oil leakage tank and an oil level data acquisition unit of an oil return tank;
the pressure data acquisition unit of the pressure oil tank is used for acquiring pressure data of the pressure oil tank in the hydraulic device of the hydro-generator set governor;
the oil level data acquisition unit of the oil tank is used for acquiring oil level data of the oil tank in the oil pressure device of the governor;
the oil leakage box oil level data acquisition unit is used for acquiring oil level data of an oil leakage box in the governor oil pressure device;
the oil return tank oil level data acquisition unit is used for acquiring oil level data of an oil return tank in the governor oil pressure device.
3. The method for early warning of the failure of the hydraulic device of the hydropower station governor according to claim 2, wherein the method comprises the following steps: the preprocessing comprises the steps of processing collected pressure data of the oil pressing tank, oil level data of the oil leakage tank and oil level data of the oil return tank through a piecewise linear interpolation method to obtain preprocessing data, setting the data length of the preprocessing data, and dividing a training data set, a verification data set and a test data set according to the time range length of 2:1:1.
4. The method for warning the fault of the oil pressure device of the hydropower station governor according to claim 3, wherein the method comprises the following steps: the prediction data comprises the following prediction data obtained by predicting the preprocessing data of the previous time through characteristic engineering;
in the feature engineering, the data analysis module sets preprocessing data collected each time as a window, carries out rolling statistics on the window, and takes predicted data of summary statistics in the rolling window as the features in the next predicted data;
the feature engineering is expressed as that,
feature_i＝(x(i)×a i-i+1 +x(i-1)×a i-(i-1)+1 +...+x(i-n+1)×a i-(i-n+1)+1 )/(a i-i+1 +a i -(i-1)+1 ...a i-(i-n+1)+1 )
wherein feature_i is prediction data of the ith time point, x (i) is preprocessing data of the ith time point, i is time point, n is window number, a is attenuation coefficient, and a is between 0 and 1;
the step of checking the predicted data comprises the step of checking the predicted data by adopting a Mann-Kendall trend checking method, and sending the obtained checking result data to an intelligent fault early warning module.
5. The method for early warning of the malfunction of the hydraulic device of the hydropower station governor according to claim 4, wherein the method comprises the following steps: the step of judging the running state of the governor oil pressure device comprises the steps of comparing the normal running state of the governor oil pressure device according to the data of the checking result, and judging that the governor oil pressure device is in the normal running state if the data change is consistent with the data change in the normal running state;
if the data change is inconsistent with the data change in the normal running state, judging that the governor oil pressure device is in an abnormal running state, and sending out device fault early warning information;
the normal running state comprises that the oil pump is started according to a fixed value of 5.8Mpa, the oil pump is stopped after 3 minutes according to the normal running data trend, and the oil pressure of the oil pressure device is increased to the oil pressure of 6.3Mpa when the oil pump is stopped.
6. The method for early warning of the malfunction of the hydraulic device of the hydropower station governor according to claim 5, wherein the method comprises the following steps: the normal operation state comprises that when an oil pump of the oil pressure device of the governor operates, oil in an oil return tank of the oil pressure device of the governor is pumped to an oil tank of the oil pressure device of the governor, the oil level of the oil return tank of the oil pressure device of the governor is lowered, the oil level and the pressure of the oil tank of the oil pressure device of the governor are raised, and the oil level of the oil tank of the oil pressure device of the governor is unchanged;
when an automatic air compensating valve of the governor oil pressure device is fully opened, an oil tank of the governor oil pressure device is compensated with air, the oil level of the oil tank of the governor oil pressure device is unchanged, the pressure is increased, and the oil level of an oil return tank of the governor oil pressure device and the oil level of an oil leakage tank of the governor oil pressure device are unchanged;
when the opening degree of the guide vane changes, discharging oil in a pressure oil tank of the governor oil pressure device to an oil return tank of the governor oil pressure device, wherein the oil level and the pressure of the pressure oil tank of the governor oil pressure device are reduced, the oil level of the oil return tank of the governor oil pressure device is increased, and the oil level of the oil leakage tank of the governor oil pressure device is slightly increased;
when the oil leakage pump of the oil pressure device of the governor runs, oil in the oil leakage tank of the oil pressure device of the governor is pumped to the oil return tank of the oil pressure device of the governor, the oil level of the oil leakage tank of the oil pressure device of the governor is lowered, the oil level of the oil return tank of the oil pressure device of the governor is raised, and the oil level and the pressure of the oil tank of the oil pressure device of the governor are unchanged.
7. The method for early warning of a malfunction of a hydraulic device of a hydroelectric power station governor according to claim 6, wherein the method comprises the steps of: the abnormal operation state comprises that when an oil pump of the oil pressure device of the governor operates, the oil level of an oil return tank of the oil pressure device of the governor is unchanged, the oil level and the pressure of an oil tank of the oil pressure device of the governor are unchanged, and fault early warning information of blocking or leakage of an oil return pipeline is sent;
when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is unchanged, the oil level and the pressure of an oil tank of the governor oil pressure device are reduced, and fault early warning information of the sealing condition of an oil supply pipeline of the oil tank and a pump body is sent out;
when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is reduced, the oil level and the pressure of an oil tank of the governor oil pressure device are unchanged, and fault early warning information of an oil return pipeline, an oil return filter or leakage conditions is sent out;
when an oil pump of the governor oil pressure device operates, the oil level of an oil return tank of the governor oil pressure device is reduced, the oil level and the pressure of an oil tank of the governor oil pressure device are reduced, and fault early warning information of the whole governor oil pressure device is sent out;
when an oil leakage pump of the oil pressure device of the governor runs, the oil level of an oil leakage tank of the oil pressure device of the governor is unchanged, and the oil level of an oil return tank of the oil pressure device of the governor is unchanged, so that fault early warning information of connection and sealing conditions of the oil leakage pump is sent out;
when the oil leakage pump of the oil pressure device of the governor runs, the oil level of the oil leakage tank of the oil pressure device of the governor is lowered, the oil level of the oil return tank of the oil pressure device of the governor is unchanged, and fault early warning information of an oil leakage pipeline, a connecting piece or leakage condition is sent out.
8. A system adopting the hydraulic device fault pre-warning method of the hydropower station governor according to any one of claims 1 to 7, which is characterized in that: the intelligent fault early warning system comprises a data acquisition module, a data analysis module and an intelligent fault early warning module;
the data acquisition module is used for acquiring operation data of each component in the governor oil pressure device;
the data analysis module is used for preprocessing the operation data of each component, predicting the operation data according to the preprocessed data to obtain predicted data, and carrying out data trend test on the predicted data to obtain test result data;
the intelligent fault early warning module is used for judging whether the running state of the governor oil pressure device is normal according to the obtained test result data after the data trend test, and when the governor oil pressure device is in an abnormal state, the intelligent fault early warning module sends out device fault early warning information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that: the processor, when executing the computer program, implements the steps of a hydropower station regulator oil pressure device failure warning method according to any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements the steps of a hydropower station regulator oil pressure device failure warning method according to any one of claims 1 to 7.
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