An intelligent monitoring and diagnosis method and system for a power plant drainage system and a medium

Abstract

The present application belongs to the technical field of river basin power station, and specifically provides an intelligent monitoring and diagnosis method and system for a power station pumping and draining system, and a medium, comprising: obtaining water pump operation parameter data in the pumping and draining system for processing to obtain a water pump operation state evaluation index; obtaining motor operation parameter data in the pumping and draining system for processing to obtain a motor operation state evaluation index; obtaining pipeline operation parameter data in the pumping and draining system for processing to obtain a pipeline operation state evaluation index; obtaining a pumping and draining system operation state evaluation index according to the three operation state evaluation indexes; and comparing the pumping and draining system operation state evaluation index with a preset pumping and draining system operation state evaluation threshold value to determine the pumping and draining system operation state. The present application realizes real-time monitoring of the water pump, motor and pipeline, and comprehensive analysis of the operation state of the pumping and draining system, thereby achieving the timeliness and accuracy of intelligent monitoring and fault diagnosis of the operation state of the pumping and draining system.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of river basin power stations, and particularly relates to an intelligent monitoring and diagnosis method and system for a power station pumping and drainage system and a medium. BACKGROUND

[0002] During daily operation of a power station, emergency rescue, daily maintenance and other working conditions may exist, and the pumping and drainage system is crucial to normal operation of the power station, and failure of the pumping and drainage system may cause serious consequences such as flooding of the power station and damage to equipment. At present, monitoring of the pumping and drainage system of the power station mainly relies on manual inspection and regular maintenance, and this mode has problems of untimely monitoring, late fault discovery and inaccurate diagnosis.

[0003] In view of the above problems, an effective technical solution is urgently needed at present. SUMMARY

[0004] The technical problem to be solved by the application is to provide an intelligent monitoring and diagnosis method and system for a power station pumping and drainage system, which can realize real-time monitoring of a water pump, a motor and a pipeline, identify the running state thereof, comprehensively analyze the running state of the pumping and drainage system, and realize intelligent monitoring of the running state of the pumping and drainage system and timeliness and accuracy of fault diagnosis.

[0005] To solve the above technical problem, the technical solution adopted by the application is as follows: an intelligent monitoring and diagnosis method for a power station pumping and drainage system, comprising the following steps:

[0006] Obtaining water pump running parameter data in the pumping and drainage system and processing the data to obtain a water pump running state evaluation index;

[0007] Obtaining motor running parameter data in the pumping and drainage system and processing the data to obtain a motor running state evaluation index;

[0008] Obtaining pipeline running parameter data in the pumping and drainage system and processing the data to obtain a pipeline running state evaluation index;

[0009] Processing the water pump running state evaluation index, the motor running state evaluation index and the pipeline running state evaluation index to obtain a pumping and drainage system running state evaluation index;

[0010] Comparing the pumping and drainage system running state evaluation index with a preset pumping and drainage system running state evaluation threshold value, and determining the running state of the pumping and drainage system according to a comparison result.

[0011] In a preferred scheme, the water pump running parameter data in the pumping and drainage system comprises real-time speed data, first real-time amplitude data, first real-time vibration frequency data, real-time noise intensity data and first real-time temperature data;

[0012] The water pump operation parameter data in the pumping and draining system is acquired and processed to obtain a water pump operation state evaluation index, including inputting the real-time rotation speed data, the first real-time amplitude data, the first real-time vibration frequency data, the real-time noise intensity data and the first real-time temperature data into a preset water pump operation state evaluation model for processing to obtain the water pump operation state evaluation index.

[0013] The calculation formula of the water pump operation state evaluation index in the water pump operation state evaluation model is:

[0014] ;

[0015] Among them, is the water pump operation state evaluation index, , , , , respectively are the real-time rotation speed data, the first real-time amplitude data, the first real-time vibration frequency data, the real-time noise intensity data and the first real-time temperature data, , , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula.

[0016] In the preferred scheme, the acquisition of the motor operation parameter data in the pumping and draining system includes second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data;

[0017] The second real-time temperature data, the second real-time amplitude data, the second real-time vibration frequency data and the real-time current data are input into a preset motor operation state evaluation model for processing to obtain a motor operation state evaluation index;

[0018] The calculation formula of the motor operation state evaluation index in the motor operation state evaluation model is:

[0019] ;

[0020] Among them, is the motor operation state evaluation index, , , , respectively are the second real-time temperature data, the second real-time amplitude data, the second real-time vibration frequency data and the real-time current data, , , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula.

[0021] In a preferred solution, the pipeline operation parameter data comprises pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data;

[0022] The pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data are input into a preset pipeline operation state evaluation model for processing to obtain a pipeline operation state evaluation index;

[0023] The calculation formula of the pipeline operation state evaluation index in the pipeline operation state evaluation model is:

[0024] ;

[0025] Among them, is the pipeline operation state evaluation index, , , The pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data are respectively, , , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula.

[0026] In a preferred solution, the processing according to the water pump operation state evaluation index, the motor operation state evaluation index and the pipeline operation state evaluation index obtains a pumping and drainage system operation state evaluation index, which comprises:

[0027] 1) The water pump operation state evaluation index and the motor operation state evaluation index are input into a preset mechanical system operation state evaluation model for processing to obtain a mechanical system operation state evaluation index, and the calculation formula of the mechanical system operation state evaluation index in the mechanical system operation state evaluation model is:

[0028] ;

[0029] Among them, is the mechanical system operation state evaluation index, , The water pump operation state evaluation index and the motor operation state evaluation index are respectively, , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula;

[0030] 2) The mechanical system operation state evaluation index and the pipeline operation state evaluation index are input into a preset pumping and drainage system operation state evaluation model for processing to obtain a pumping and drainage system operation state evaluation index, and the calculation formula of the pumping and drainage system operation state evaluation index in the pumping and drainage system operation state evaluation model is:

[0031] ;

[0032] wherein, is the pumping system operation state evaluation index, , are the mechanical system operation state evaluation index and the pipeline operation state evaluation index, respectively, , , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula.

[0033] In a preferred scheme, the pumping system operation state evaluation index is compared with a preset pumping system operation state evaluation threshold value, and the pumping system operation state is determined according to the comparison result, which comprises:

[0034] The pumping system operation state evaluation index is compared with a preset pumping system operation state evaluation threshold value, wherein the preset pumping system operation state evaluation threshold value comprises a first preset pumping system operation state evaluation threshold value and a second preset pumping system operation state evaluation threshold value, and the first preset pumping system operation state evaluation threshold value is smaller than the second preset pumping system operation state evaluation threshold value.

[0035] If the pumping system operation state evaluation index is smaller than or equal to the first preset pumping system operation state evaluation threshold value, it corresponds to a normal state.

[0036] If the pumping system operation state evaluation index is greater than the first preset pumping system operation state evaluation threshold value and smaller than or equal to the second preset pumping system operation state evaluation threshold value, it corresponds to a suspected abnormal state, and a warning is output to the management end display.

[0037] If the pumping system operation state evaluation index is greater than the second preset pumping system operation state evaluation threshold value, it corresponds to an abnormal state, and the abnormal parameter data is extracted, and the corresponding fault handling method is obtained according to the abnormal parameter data query preset fault handling method list and sent to the management end display.

[0038] In a preferred scheme, it further comprises adjusting the number of water pumps turned on or adjusting the rated pumping flow according to the pumping data, and the operation is as follows:

[0039] The water volume data and the preset pumping time data are obtained and processed to obtain pumping flow demand data.

[0040] The rated pumping flow data of the pumping system is obtained.

[0041] The pumping flow demand data and the rated pumping flow data are compared and processed to obtain a flow demand deviation rate.

[0042] The flow demand deviation rate is compared with a preset flow demand deviation threshold value, if less than or equal to the preset flow demand deviation threshold value, the water pumping and draining system meets the demand, if greater than the preset flow demand deviation threshold value, and the water pumping and draining flow demand data is less than the rated water pumping and draining flow data, the number of water pumps opened is reduced or the rated water pumping and draining flow is adjusted, if greater than the preset flow demand deviation threshold value, and the water pumping and draining flow demand data is greater than the rated water pumping and draining flow data, the number of water pumps opened is increased or the rated water pumping and draining flow is adjusted.

[0043] In the preferred scheme, the flow demand deviation rate calculation formula is:

[0044] ;

[0045] Wherein, is the flow demand deviation rate, , are the water pumping and draining flow demand data and the rated water pumping and draining flow data respectively.

[0046] The application further discloses an intelligent monitoring and diagnosis system of a power station water pumping and draining system, comprising a memory and a processor, the memory stores the program of the intelligent monitoring and diagnosis method of the power station water pumping and draining system, and the program of the intelligent monitoring and diagnosis method of the power station water pumping and draining system is executed by the processor.

[0047] The application further discloses a computer readable storage medium, the computer readable storage medium stores the program of the intelligent monitoring and diagnosis of the power station water pumping and draining system, and the program of the intelligent monitoring and diagnosis of the power station water pumping and draining system is executed by the processor to realize the steps of the intelligent monitoring and diagnosis method of the power station water pumping and draining system.

[0048] The application provides an intelligent monitoring and diagnosis method, system and medium of a power station water pumping and draining system, the running state of the water pump, the motor and the pipeline is monitored in real time, the running state of the water pumping and draining system is comprehensively analyzed, and therefore the intelligent monitoring of the running state of the water pumping and draining system and the timeliness and accuracy of fault diagnosis are realized. BRIEF DESCRIPTION OF DRAWINGS

[0049] The application will be further described below in combination with the drawings and examples:

[0050] Figure 1 The flow chart of the intelligent monitoring and diagnosis method of the power station water pumping and draining system provided by the examples of the application is shown in the figure;

[0051] Figure 2 The flow chart of the intelligent monitoring and diagnosis method of the power station water pumping and draining system provided by the examples of the application is shown in the figure;

[0052] Figure 3The flow chart for obtaining the motor operation state evaluation index of the intelligent monitoring and diagnosis method of the power plant water pumping and draining system provided by the embodiment of the present application is shown in the figure.

[0053] Figure 4 The flow chart for obtaining the pipeline operation state evaluation index of the intelligent monitoring and diagnosis method of the power plant water pumping and draining system provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0054] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application.

[0055] Embodiment 1:

[0056] Please refer to Figure 1 , Figure 1 The figure is the flow chart of the intelligent monitoring and diagnosis method of the power plant water pumping and draining system in the embodiment. The intelligent monitoring and diagnosis method of the power plant water pumping and draining system is used in terminal equipment, such as computers, mobile phone terminals, etc.

[0057] It should be noted that in order to realize the intelligent monitoring of the power plant water pumping and draining system, obtain the operation state, further diagnose the fault type and reason according to the operation state, and output the corresponding processing method, first, the water pump, motor and pipeline, which are the main components of the water pumping and draining system, are monitored in real time by the preset sensor, the corresponding water pump operation parameter data, motor operation parameter data and pipeline operation parameter data are obtained, further processing is performed, the corresponding water pump operation state evaluation index, motor operation state evaluation index and pipeline operation state evaluation index are obtained, the mechanical system operation state evaluation index is obtained by processing the water pump operation state evaluation index and motor operation state evaluation index, the pipeline operation state evaluation index is combined for comprehensive processing, the water pumping and draining system operation state evaluation index is obtained, and finally the threshold value comparison is performed with the preset water pumping and draining system operation state evaluation threshold value, the water pumping and draining system operation state is determined according to the comparison result, including the normal state, suspected abnormal state or abnormal state, if it is the abnormal state, the abnormal data monitored is continuously extracted, the problem reason is diagnosed according to the abnormal data and the corresponding processing method.

[0058] The intelligent monitoring and diagnosis method of the power plant water pumping and draining system comprises the following steps:

[0059] S11, obtaining the water pump operation parameter data in the water pumping and draining system and processing, obtaining the water pump operation state evaluation index.

[0060] Refer to Figure 2 , Figure 2is a flowchart for obtaining a water pump operation state evaluation index of an intelligent monitoring and diagnosis method of a power plant water pumping and draining system in some embodiments of the present application. According to an embodiment of the present application, the water pump operation parameter data in the water pumping and draining system is obtained and processed to obtain a water pump operation state evaluation index, which includes:

[0061] S21, water pump operation parameter data in the water pumping and draining system is obtained;

[0062] S22, the water pump operation parameter data in the water pumping and draining system includes real-time speed data, first real-time amplitude data, first real-time vibration frequency data, real-time noise intensity data and first real-time temperature data;

[0063] S23, the water pump operation parameter data in the water pumping and draining system is obtained and processed to obtain a water pump operation state evaluation index, which includes inputting the real-time speed data, the first real-time amplitude data, the first real-time vibration frequency data, the real-time noise intensity data and the first real-time temperature data into a preset water pump operation state evaluation model for processing to obtain a water pump operation state evaluation index.

[0064] It should be noted that by pre-installing sensors at key component positions of the water pump for real-time monitoring, water pump operation parameter data including real-time speed data, first real-time amplitude data, first real-time vibration frequency data, real-time noise intensity data and first real-time temperature data is obtained, and the water pump operation parameter data is input into a preset water pump operation state evaluation model for processing to obtain a water pump operation state evaluation index.

[0065] The calculation formula of the water pump operation state evaluation index in the water pump operation state evaluation model is:

[0066] ;

[0067] wherein, is the water pump operation state evaluation index, , , , , are real-time speed data, first real-time amplitude data, first real-time vibration frequency data, real-time noise intensity data and first real-time temperature data, respectively, , , is a preset characteristic coefficient, which is obtained by querying the intelligent monitoring platform of the water pumping and draining system and is used as a correction coefficient of the calculation formula.

[0068] S12, obtaining and processing motor operation parameter data in the water pumping and draining system to obtain a motor operation state evaluation index.

[0069] Please refer to Figure 3 ,Figure 3 is a flow chart of obtaining a water pump operation state evaluation index of an intelligent monitoring and diagnosis method of a power plant drainage system in some embodiments of the present application. According to an embodiment of the present application, the motor operation parameter data in the drainage system is obtained and processed to obtain a motor operation state evaluation index, which includes:

[0070] S31, obtaining motor operation parameter data in the drainage system;

[0071] S32, the motor operation parameter data obtained in the drainage system includes second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data;

[0072] S33, inputting the second real-time temperature data, the second real-time amplitude data, the second real-time vibration frequency data and the real-time current data into a preset motor operation state evaluation model for processing to obtain a motor operation state evaluation index.

[0073] It should be noted that by pre-setting sensors at important component positions of the motor for real-time monitoring, motor operation parameter data including second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data are obtained, and the motor operation parameter data is input into a preset motor operation state evaluation model for processing to obtain a motor operation state evaluation index.

[0074] The calculation formula of the motor operation state evaluation index in the motor operation state evaluation model is:

[0075] ;

[0076] wherein, is the motor operation state evaluation index, , , , second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data, , , is a preset characteristic coefficient, which is obtained by querying a preset drainage system intelligent monitoring platform and is used as a correction coefficient of the calculation formula.

[0077] S13, obtaining pipeline operation parameter data in the drainage system and processing to obtain a pipeline operation state evaluation index.

[0078] Please refer to Figure 4 , Figure 4is a flowchart of obtaining a water pump operation state evaluation index of an intelligent monitoring and diagnosis method of a power plant water pumping and draining system in some embodiments of the present application. According to an embodiment of the present application, the pipeline operation parameter data in the water pumping and draining system is obtained and processed to obtain a pipeline operation state evaluation index, including:

[0079] S41, obtaining pipeline operation parameter data in the water pumping and draining system;

[0080] S42, the pipeline operation parameter data includes pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data;

[0081] S43, inputting the pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data into a preset pipeline operation state evaluation model for processing to obtain a pipeline operation state evaluation index.

[0082] It should be noted that the pipeline operation parameter data including the pipeline pressure fluctuation data, the pipeline flow change data and the pipeline leakage rate data is obtained by real-time monitoring through the preset sensors at important positions of the pipeline, wherein the pipeline pressure fluctuation data refers to pressure difference data corresponding to a plurality of preset ranges, the pipeline flow change data refers to flow difference data corresponding to a plurality of preset ranges, and the pipeline leakage rate data refers to a ratio of the import and export flow difference to the import flow. The pipeline operation parameter data is input into a preset pipeline operation state evaluation model for processing to obtain a pipeline operation state evaluation index.

[0083] The calculation formula of the pipeline operation state evaluation index in the pipeline operation state evaluation model is:

[0084] ;

[0085] wherein, is a pipeline operation state evaluation index, , , respectively are the pipeline pressure fluctuation data, the pipeline flow change data and the pipeline leakage rate data, , , is a preset characteristic coefficient, and the characteristic coefficient is obtained by querying a preset water pumping and draining system intelligent monitoring platform and is used as a correction coefficient of the calculation formula.

[0086] S14, processing according to the water pump operation state evaluation index, the motor operation state evaluation index and the pipeline operation state evaluation index to obtain a water pumping and draining system operation state evaluation index.

[0087] including the following steps:

[0088] 1) It needs to be explained that the drainage system mainly includes mechanical part and pipeline part, wherein the mechanical part mainly includes motor and water pump, therefore, the obtained water pump running state evaluation index and motor running state evaluation index are input into the preset mechanical system running state evaluation model for processing to obtain the mechanical system running state evaluation index.

[0089] The water pump running state evaluation index and the motor running state evaluation index are input into the preset mechanical system running state evaluation model for processing to obtain the mechanical system running state evaluation index, and the mechanical system running state evaluation index calculation formula in the mechanical system running state evaluation model is:

[0090] ;

[0091] Among them, is the mechanical system running state evaluation index, , respectively the water pump running state evaluation index and the motor running state evaluation index, , is a preset characteristic coefficient, and the characteristic coefficient is obtained by querying the preset drainage system intelligent monitoring platform and is used as a correction coefficient of the calculation formula;

[0092] 2) The mechanical system running state evaluation index and the pipeline running state evaluation index are input into the preset drainage system running state evaluation model for processing to obtain the drainage system running state evaluation index, and the drainage system running state evaluation index calculation formula in the drainage system running state evaluation model is:

[0093] ;

[0094] Among them, is the drainage system running state evaluation index, , respectively the mechanical system running state evaluation index and the pipeline running state evaluation index, , , is a preset characteristic coefficient, and the characteristic coefficient is obtained by querying the preset drainage system intelligent monitoring platform and is used as a correction coefficient of the calculation formula.

[0095] S15, the drainage system running state evaluation index is compared with the preset drainage system running state evaluation threshold value, and the running state of the drainage system is determined according to the comparison result.

[0096] The drainage system running state evaluation index is compared with the preset drainage system running state evaluation threshold value, and the running state of the drainage system is determined according to the comparison result, including:

[0097] The running state evaluation index of the water pumping and draining system is compared with a preset water pumping and draining system running state evaluation threshold value, wherein the preset water pumping and draining system running state evaluation threshold value comprises a first preset water pumping and draining system running state evaluation threshold value and a second preset water pumping and draining system running state evaluation threshold value, and the first preset water pumping and draining system running state evaluation threshold value is smaller than the second preset water pumping and draining system running state evaluation threshold value.

[0098] If the running state evaluation index of the water pumping and draining system is smaller than or equal to the first preset water pumping and draining system running state evaluation threshold value, a normal state is corresponded.

[0099] If the running state evaluation index of the water pumping and draining system is greater than the first preset water pumping and draining system running state evaluation threshold value and smaller than or equal to the second preset water pumping and draining system running state evaluation threshold value, a suspected abnormal state is corresponded, and a warning is output to a management terminal for display.

[0100] If the running state evaluation index of the water pumping and draining system is greater than the second preset water pumping and draining system running state evaluation threshold value, an abnormal state is corresponded, abnormal parameter data is extracted, a preset fault processing method list is queried according to the abnormal parameter data to obtain a corresponding fault processing method, and the corresponding fault processing method is sent to the management terminal for display.

[0101] It should be noted that, in order to determine the running state of the water pumping and draining system, the obtained running state evaluation index of the water pumping and draining system is compared with a preset water pumping and draining system running state evaluation threshold value. In this embodiment, the first water pumping and draining system running state evaluation threshold value is set to 0.3, and the second water pumping and draining system running state evaluation threshold value is set to 0.45, that is, (0, 0.3], (0.3, 0.45], (0.45, 1] correspond to normal state, suspected abnormal state, and abnormal state respectively. For example, if the obtained running state evaluation index of the water pumping and draining system is 0.1, the normal state is corresponded, indicating that the water pumping and draining system is running normally, and real-time monitoring can be continued. If the obtained running state evaluation index of the water pumping and draining system is 0.4, the suspected abnormal state is corresponded, and a warning needs to be output to the management terminal for display, and the operation and maintenance personnel need to further confirm. If the obtained running state evaluation index of the water pumping and draining system is 0.5, the abnormal state is corresponded, abnormal parameter data is extracted, a preset fault processing method list is queried according to the abnormal parameter data to obtain a corresponding fault processing method, and the corresponding fault processing method is sent to the management terminal for display. The preset fault processing method list is obtained by training a large number of historical abnormal parameter data and corresponding fault processing methods, and can also be manually maintained by the operation and maintenance personnel.

[0102] Embodiment 2:

[0103] Different from embodiment 1, the intelligent monitoring and diagnosis method of the power station water pumping and draining system further comprises adjusting the number of water pumps turned on or adjusting the rated water pumping and draining flow according to the water pumping and draining data, and the operation is as follows:

[0104] obtain water volume data of water to be pumped and preset pumping time data and process the same to obtain pumping flow demand data;

[0105] obtain rated pumping flow data of the pumping system;

[0106] compare the pumping flow demand data and the rated pumping flow data to obtain flow demand deviation rate;

[0107] compare the flow demand deviation rate with preset flow demand deviation threshold value, if the flow demand deviation rate is less than or equal to the preset flow demand deviation threshold value, the pumping system meets the demand, if the flow demand deviation rate is greater than the preset flow demand deviation threshold value and the pumping flow demand data is less than the rated pumping flow data, the number of water pumps to be started or the rated pumping flow is adjusted, if the flow demand deviation rate is greater than the preset flow demand deviation threshold value and the pumping flow demand data is greater than the rated pumping flow data, the number of water pumps to be started or the rated pumping flow is adjusted.

[0108] It should be noted that when performing pumping operation, there is often a time limit requirement, in order to ensure the timeliness of water pumping, the water volume data of water to be pumped and the preset pumping time data are obtained and processed to obtain the pumping flow demand data, for example, if the water volume data is 1000m³ and the preset pumping time data is 1h, then 1000 / 1=1000m³ / h is the pumping flow demand data, the pumping flow demand data and the rated pumping flow data are compared to obtain the flow demand deviation rate, the flow demand deviation rate calculation formula is:

[0109] ;

[0110] wherein, is the flow demand deviation rate, , are the pumping flow demand data and the rated pumping flow data respectively;

[0111] Finally, the obtained flow demand deviation rate is compared with a preset flow demand deviation threshold value, in the embodiment, the preset flow demand deviation threshold value is set to (0, 0.15], (0.15, 1]; for example, if the obtained flow demand deviation rate is 0.1, the pumping and draining system meets the demand; if the obtained flow demand deviation rate is 0.3, and the pumping and draining flow demand data is less than the rated pumping and draining flow data, it is indicated that the rated flow of the pump is too large, which can increase energy consumption, so the number of water pumps opened or the rated pumping and draining flow is adjusted; if the obtained flow demand deviation rate is 0.3, and the pumping and draining flow demand data is greater than the rated pumping and draining flow data, it is indicated that the rated flow of the pump is insufficient, and the pumping and draining operation cannot be completed within the specified time, so the number of water pumps opened or the rated pumping and draining flow is adjusted.

[0112] Embodiment 3:

[0113] Different from embodiment 1, the intelligent monitoring and diagnosis method of the power station pumping and draining system according to the embodiment of the application further comprises:

[0114] obtaining real-time water flow rate data and real-time wind wave height data;

[0115] inputting the real-time water flow rate data and the real-time wind wave height data into a preset stability demand evaluation model for processing to obtain a stability demand index;

[0116] comparing the stability demand index with a preset stability demand threshold value to obtain a stability demand relative value;

[0117] comparing the stability demand relative value with a preset stability demand level threshold value, obtaining a stability demand level according to the comparison result, and performing water pump stability adjustment.

[0118] It should be noted that when the water pump performs the pumping and draining operation underwater, due to the flow of water and the fluctuation of wind and waves, the water pump may be displaced greatly, so it is necessary to first obtain the real-time water flow rate data and the real-time wind wave height data, input them into the preset stability demand evaluation model for processing to obtain the stability demand index;

[0119] the stability demand index calculation formula in the stability demand evaluation model is:

[0120]

[0121] wherein, the stability demand index is, , the real-time water flow rate data and the real-time wind wave height data are, , a preset characteristic coefficient (the characteristic coefficient is obtained by querying the pumping and draining system intelligent monitoring platform);

[0122] ​The obtained stable demand index is compared with a preset stable demand threshold value to obtain a stable demand relative value, for example, the obtained stable demand index is 20, the preset stable demand threshold value is 100, and then 20 / 100=0.2 is the stable demand relative value, and then the stable demand relative value is compared with a preset stable demand level threshold value, and the preset stable demand level threshold value is set to (0.0.25), [0.25, 0.35], (0.35, 1] in this embodiment, which correspond to first, second and third levels respectively, wherein the third level requires the highest, for example, the obtained stable demand relative value is 0.2, which corresponds to the first level, and the water pump is stabilized according to the preset requirement.

[0123] Embodiment 4:

[0124] Different from embodiment 1, an intelligent monitoring and diagnosis method of a power plant water pumping and draining system, according to the embodiment of the application, further comprises:

[0125] Obtaining flow data, head data, efficiency data and pipeline resistance average data of the water pump;

[0126] Processing the flow data, head data, efficiency data and pipeline resistance average data in combination with the water quantity data to obtain predicted water pumping and draining operation time data;

[0127] Processing the predicted water pumping and draining operation time data in combination with historical unit time power consumption average data to obtain predicted power energy consumption data;

[0128] Obtaining preset power supply data;

[0129] Comparing the predicted power energy consumption data with the power supply data to obtain an energy supply profit and loss coefficient;

[0130] Comparing the energy supply profit and loss coefficient with a preset energy supply profit and loss threshold value, and adjusting the power supply mode according to the comparison result.

[0131] It should be noted that the power system is the basis for the normal operation of the pumping and drainage system, and whether the power supply is sufficient is an important factor for the effective operation of the pumping and drainage. Therefore, the flow data, head data, efficiency data and average data of the pipeline resistance of the water pump are obtained first, and then the water quantity data of the water to be drained is processed to obtain the predicted pumping and drainage operation time data. Finally, the average power consumption per unit time of the historical data is processed to obtain the predicted power consumption data. The preset power supply data of the pumping and drainage system is obtained, the predicted power consumption data is divided by the power supply data to obtain the energy supply profit and loss coefficient, and then the energy supply profit and loss coefficient is compared with the preset energy supply profit and loss threshold. In this embodiment, the energy supply profit and loss threshold is set to (0, 0.35], (0.35, 1], if the obtained energy supply profit and loss coefficient is 0.2, no adjustment is needed for the energy supply; if the obtained energy supply profit and loss coefficient is 0.4, it means that the profit and loss exceeds the standard, and the power supply mode needs to be adjusted according to the preset requirements, including but not limited to increasing the energy supply equipment and adjusting the capacity of the power supply cabinet.

[0132] Embodiment 5:

[0133] The embodiment discloses an intelligent monitoring and diagnosis system of a power station pumping and drainage system, comprising a memory and a processor, wherein the memory stores a program of an intelligent monitoring and diagnosis method of a power station pumping and drainage system as claimed in any one of embodiments 1-4, and the program of the intelligent monitoring and diagnosis method of the power station pumping and drainage system is executed by the processor.

[0134] It should be noted that in order to realize intelligent monitoring of the power station pumping and drainage system, obtain the running state, further diagnose the fault type and reason according to the running state, and output the corresponding processing method; first, the water pump, motor and pipeline of the main components of the pumping and drainage system are monitored in real time through the preset sensor to obtain the corresponding water pump running parameter data, motor running parameter data and pipeline running parameter data, which are further processed to obtain the corresponding water pump running state evaluation index, motor running state evaluation index and pipeline running state evaluation index. The mechanical system running state evaluation index is obtained by processing the water pump running state evaluation index and the motor running state evaluation index, and the pumping and drainage system running state evaluation index is obtained by comprehensively processing the pipeline running state evaluation index. Finally, the threshold comparison is performed with the preset pumping and drainage system running state evaluation threshold, the running state of the pumping and drainage system is determined according to the comparison result, including normal state, suspected abnormal state or abnormal state, if it is abnormal state, the abnormal data monitored is continuously extracted, the problem reason and the corresponding processing method are diagnosed according to the abnormal data.

[0135] Embodiment 6:

[0136] The embodiment discloses a computer readable storage medium, and a power station pumping and draining water system intelligent monitoring and diagnosis program is stored in the computer readable storage medium. When the power station pumping and draining water system intelligent monitoring and diagnosis program is executed by a processor, the steps of the power station pumping and draining water system intelligent monitoring and diagnosis method according to any one of the embodiments 1 to 4 are implemented.

[0137] The power station pumping and draining water system intelligent monitoring and diagnosis method, system and medium disclosed by the embodiment can realize the timeliness and accuracy of intelligent monitoring and fault diagnosis of the operation state of the pumping and draining water system by monitoring the water pump, the motor and the pipeline in real time, identifying the operation state of the water pump, the motor and the pipeline, and comprehensively analyzing the operation state of the pumping and draining water system.

[0138] Those skilled in the art can easily understand that the above description is only the preferred embodiment of the present application, and is not used to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent monitoring and diagnosis method for a power plant drainage system, characterized in that, The method comprises the following steps: obtaining water pump operation parameter data in the pumping and draining system and processing the data to obtain a water pump operation state evaluation index; obtaining motor operation parameter data in the pumping and draining system and processing the data to obtain a motor operation state evaluation index; obtaining pipeline operation parameter data in the pumping and draining system and processing the data to obtain a pipeline operation state evaluation index; processing the water pump operation state evaluation index, the motor operation state evaluation index and the pipeline operation state evaluation index to obtain a pumping and draining system operation state evaluation index; comparing the pumping and draining system operation state evaluation index with a preset pumping and draining system operation state evaluation threshold value, and determining the pumping and draining system operation state according to the comparison result; processing the water pump operation state evaluation index, the motor operation state evaluation index and the pipeline operation state evaluation index to obtain a pumping and draining system operation state evaluation index, comprising: 1) inputting the water pump operation state evaluation index and the motor operation state evaluation index into a preset mechanical system operation state evaluation model for processing to obtain a mechanical system operation state evaluation index, wherein the mechanical system operation state evaluation index calculation formula in the mechanical system operation state evaluation model is: ； wherein, is a mechanical system operation state evaluation index, , is a water pump operation state evaluation index and a motor operation state evaluation index, respectively, , is a preset characteristic coefficient, as a correction coefficient of the calculation formula; 2) inputting the mechanical system operation state evaluation index and the pipeline operation state evaluation index into a preset pumping and draining system operation state evaluation model for processing to obtain a pumping and draining system operation state evaluation index, wherein the pumping and draining system operation state evaluation index calculation formula in the pumping and draining system operation state evaluation model is: the pumping and draining system operation state evaluation index calculation formula in the pumping and draining system operation state evaluation model is: ； wherein, is an operating state evaluation index of the water pumping and draining system, , are an operating state evaluation index of the mechanical system and an operating state evaluation index of the pipeline, respectively, , , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula.

2. The intelligent monitoring and diagnosing method of power plant water drainage system according to claim 1, characterized in that, the water pump operation parameter data in the pumping and draining system comprises real-time speed data, first real-time amplitude data, first real-time vibration frequency data, real-time noise intensity data and first real-time temperature data; obtaining the water pump operation state evaluation index by inputting the real-time speed data, the first real-time amplitude data, the first real-time vibration frequency data, the real-time noise intensity data and the first real-time temperature data into a preset water pump operation state evaluation model for processing; the water pump operation state evaluation index calculation formula in the water pump operation state evaluation model is: ； wherein, is a water pump operating state evaluation index, , , , , are real-time rotation speed data, first real-time amplitude data, first real-time vibration frequency data, real-time noise intensity data, and first real-time temperature data, respectively, , , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula.

3. The intelligent monitoring and diagnosing method of power plant water drainage system according to claim 1, characterized in that, the motor operation parameter data in the pumping and draining system comprises second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data; inputting the second real-time temperature data, the second real-time amplitude data, the second real-time vibration frequency data and the real-time current data into a preset motor operation state evaluation model for processing to obtain a motor operation state evaluation index; the motor operation state evaluation index calculation formula in the motor operation state evaluation model is: ； wherein, is an electric motor operating state evaluation index, , , , are second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data, respectively, , , is a preset characteristic coefficient, as a correction coefficient of the calculation formula.

4. The intelligent monitoring and diagnosis method for the water drainage system of a power plant according to claim 1, characterized in that, the pipeline operation parameter data comprises pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data; inputting the pipeline pressure fluctuation data, the pipeline flow change data and the pipeline leakage rate data into a preset pipeline operation state evaluation model for processing to obtain a pipeline operation state evaluation index; The calculation formula of the pipeline operation state evaluation index in the pipeline operation state evaluation model is: ； wherein, is a pipeline operation state evaluation index, , , are pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data, respectively, , , is a preset characteristic coefficient, which is a correction coefficient of the calculation formula.

5. The intelligent monitoring and diagnosis method for the water drainage system of a power plant according to claim 1, characterized in that, The threshold comparison between the pumping and draining system operation state evaluation index and the preset pumping and draining system operation state evaluation threshold value, and the determination of the pumping and draining system operation state according to the comparison result, include: The threshold comparison between the pumping and draining system operation state evaluation index and the preset pumping and draining system operation state evaluation threshold value, wherein the preset pumping and draining system operation state evaluation threshold value includes a first preset pumping and draining system operation state evaluation threshold value and a second preset pumping and draining system operation state evaluation threshold value, and the first preset pumping and draining system operation state evaluation threshold value is smaller than the second preset pumping and draining system operation state evaluation threshold value; If the pumping and draining system operation state evaluation index is smaller than or equal to the first preset pumping and draining system operation state evaluation threshold value, it corresponds to a normal state; If the pumping and draining system operation state evaluation index is greater than the first preset pumping and draining system operation state evaluation threshold value and smaller than or equal to the second preset pumping and draining system operation state evaluation threshold value, it corresponds to a suspected abnormal state, and a warning is output to the management end display; If the pumping and draining system operation state evaluation index is greater than the second preset pumping and draining system operation state evaluation threshold value, it corresponds to an abnormal state, and the abnormal parameter data is extracted, and the corresponding fault handling method is obtained by querying the preset fault handling method list according to the abnormal parameter data and sent to the management end display.

6. The intelligent monitoring and diagnosis method for the water drainage system of a power plant according to claim 1, characterized in that, It also includes adjusting the number of water pumps turned on or adjusting the rated pumping and draining flow rate according to the pumping and draining data, and the operation is as follows: Obtain the water volume data and the preset pumping and draining time data, and process them to obtain the pumping and draining flow demand data; Obtain the rated pumping and draining flow data of the pumping and draining system; Compare and process the pumping and draining flow demand data and the rated pumping and draining flow data to obtain the flow demand deviation rate; Threshold comparison between the flow demand deviation rate and the preset flow demand deviation threshold value, if less than or equal to the preset flow demand deviation threshold value, the pumping and draining system meets the demand; if greater than the preset flow demand deviation threshold value, and the pumping and draining flow demand data is less than the rated pumping and draining flow data, reduce the number of water pumps turned on or adjust the rated pumping and draining flow rate; If greater than the preset flow demand deviation threshold value, and the pumping and draining flow demand data is greater than the rated pumping and draining flow data, increase the number of water pumps turned on or adjust the rated pumping and draining flow rate.

7. The intelligent monitoring and diagnosing method of power plant drainage system according to claim 6, characterized in that, The flow demand deviation rate calculation formula is: ； wherein, is the flow demand bias rate, , are the pumped flow demand data and the rated pumped flow data, respectively.

8. An intelligent monitoring and diagnosis system for power plant drainage system, characterized in that, It includes a memory and a processor, the memory stores the program of the intelligent monitoring and diagnosis method of the power station pumping and draining system according to any one of claims 1-7, and the program of the intelligent monitoring and diagnosis method of the power station pumping and draining system is executed by the processor.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores the intelligent monitoring and diagnosis program of the power station pumping and draining system, and the intelligent monitoring and diagnosis program of the power station pumping and draining system is executed by the processor, which realizes the steps of the intelligent monitoring and diagnosis method of the power station pumping and draining system in any one of claims 1-7.

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