Intelligent monitoring and diagnosing method and system for water pumping and draining system of power station and medium

Abstract

The invention belongs to the technical field of drainage basin power stations, and particularly provides an intelligent monitoring and diagnosis method and system for a power station water pumping and drainage system and a medium, and the method comprises the steps: obtaining water pump operation parameter data in the water pumping and drainage system, and processing the data to obtain a water pump operation state evaluation index; motor operation parameter data in the water pumping and draining system are obtained and processed to obtain a motor operation state evaluation index; pipeline operation parameter data in the water pumping and draining system are obtained and processed to obtain a pipeline operation state evaluation index; obtaining the operation state evaluation index of the water pumping and drainage system according to the three operation state evaluation indexes; and comparing the operation state evaluation index of the water pumping and drainage system with a preset operation state evaluation threshold value of the water pumping and drainage system, and determining the operation state of the water pumping and drainage system. The water pump, the motor and the pipeline are monitored in real time, and the operation state of the water pumping and drainage system is comprehensively analyzed, so that the timeliness and the accuracy of intelligent monitoring and fault diagnosis of the operation state of the water pumping and drainage system are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of river basin power stations, and in particular, relates to an intelligent monitoring and diagnosis method, system and medium for a pumping and drainage system of a power station. Background Art

[0002] During the daily operation of a power station, there will be emergency rescue, daily maintenance and other working conditions. The pumping and drainage system is crucial to the normal operation of the power station. Failure of the pumping and drainage system will lead to serious consequences such as flooding of the power station and damage to equipment. At present, the monitoring of the pumping and drainage system of the power station mainly relies on manual inspections and regular maintenance. This method has problems such as untimely monitoring, delayed fault detection and inaccurate diagnosis.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent monitoring and diagnosis method, system and medium for a power station pumping and drainage system, which can realize intelligent monitoring of the operating status of the pumping and drainage system and the timeliness and accuracy of fault diagnosis by real-time monitoring of water pumps, motors and pipelines, identifying their operating status, and comprehensively analyzing the operating status of the pumping and drainage system.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: an intelligent monitoring and diagnosis method for a power station pumping and drainage system, comprising the following steps: Acquire and process the water pump operating parameter data in the drainage system to obtain the water pump operating status evaluation index; Obtain and process the motor operating parameter data in the drainage system to obtain the motor operating status evaluation index; Obtain and process the pipeline operation parameter data in the drainage system to obtain the pipeline operation status evaluation index; Processing is performed according to the water pump operation status evaluation index, the motor operation status evaluation index and the pipeline operation status evaluation index to obtain a pumping and drainage system operation status evaluation index; The pumping and drainage system operation status evaluation index is compared with a preset pumping and drainage system operation status evaluation threshold, and the pumping and drainage system operation status is determined according to the comparison result.

[0006] In a preferred solution, the water pump operation parameter data in the drainage system includes 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; The step of obtaining and processing the water pump operation parameter data in the drainage system to obtain the water pump operation status evaluation index comprises 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 status evaluation model for processing to obtain the water pump operation status evaluation index; The calculation formula of the water pump operation status evaluation index in the water pump operation status evaluation model is: ; in, is the pump operation status evaluation index, , , , , They 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. , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

[0007] In a preferred solution, the motor operating 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; 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 calculation formula of the motor operation status evaluation index in the motor operation status evaluation model is: ; in, is the motor operation status evaluation index, , , , They are second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data, respectively. , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

[0008] In a preferred solution, the pipeline operation parameter data includes pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data; Inputting the pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data into a preset pipeline operation status evaluation model for processing to obtain a pipeline operation status evaluation index; The calculation formula of the pipeline operation status evaluation index in the pipeline operation status evaluation model is: ; in, is the pipeline operation status evaluation index, , , They are pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data. , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

[0009] In a preferred solution, the processing according to the water pump operation status evaluation index, the motor operation status evaluation index and the pipeline operation status evaluation index to obtain the pumping and drainage system operation status evaluation index includes: 1) The water pump operation status evaluation index and the motor operation status evaluation index are input into a preset mechanical system operation status evaluation model for processing to obtain a mechanical system operation status evaluation index. The calculation formula of the mechanical system operation status evaluation index in the mechanical system operation status evaluation model is: ; in, is the mechanical system operation status evaluation index, , They are the water pump operation status evaluation index and the motor operation status evaluation index, , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula; 2) Inputting the mechanical system operation status evaluation index and the pipeline operation status evaluation index into a preset pumping and drainage system operation status evaluation model for processing, to obtain the pumping and drainage system operation status evaluation index. The calculation formula of the pumping and drainage system operation status evaluation index in the pumping and drainage system operation status evaluation model is: ; in, It is the evaluation index of the operation status of the drainage system. , They are the mechanical system operation status evaluation index and the pipeline operation status evaluation index, , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

[0010] In a preferred solution, the pumping and drainage system operation status evaluation index is compared with a preset pumping and drainage system operation status evaluation threshold, and the pumping and drainage system operation status is determined according to the comparison result, including: Comparing the pumping and drainage system operation status assessment index with a preset pumping and drainage system operation status assessment threshold, wherein the preset pumping and drainage system operation status assessment threshold includes a first preset pumping and drainage system operation status assessment threshold and a second preset pumping and drainage system operation status assessment threshold, and the first preset pumping and drainage system operation status assessment threshold is less than the second preset pumping and drainage system operation status assessment threshold; If the pumping and drainage system operation status assessment index is less than or equal to the first preset pumping and drainage system operation status assessment threshold, it corresponds to a normal state; If the pumping and drainage system operation status assessment index is greater than the first preset pumping and drainage system operation status assessment threshold, and is less than or equal to the second preset pumping and drainage system operation status assessment threshold, then a warning is output to the management terminal for display corresponding to a suspected abnormal state; If the pumping and drainage system operation status assessment index is greater than the second preset pumping and drainage system operation status assessment threshold, then corresponding to the abnormal state, the abnormal parameter data is extracted, and the preset fault handling method list is queried according to the abnormal parameter data to obtain the corresponding fault handling method and send it to the management end for display.

[0011] The preferred solution also includes adjusting the number of water pumps turned on or the rated water pumping and drainage flow rate according to the drainage data, and the operation is as follows: Obtaining and processing the water volume data to be pumped and the preset pumping and drainage time data to obtain the pumping and drainage flow demand data; Obtain the rated pumping and drainage flow data of the pumping and drainage system; Obtaining a flow demand deviation rate by comparing the pumping and drainage flow demand data with the rated pumping and drainage flow data; The flow demand deviation rate is compared with the preset flow demand deviation threshold. If it is less than or equal to the preset flow demand deviation threshold, the pumping and drainage system meets the demand; if it is greater than the preset flow demand deviation threshold, and the pumping and drainage flow demand data is less than the rated pumping and drainage flow data, the number of water pumps turned on is reduced or the rated pumping and drainage flow is adjusted; if it is greater than the preset flow demand deviation threshold, and the pumping and drainage flow demand data is greater than the rated pumping and drainage flow data, the number of water pumps turned on is increased or the rated pumping and drainage flow is adjusted.

[0012] In the preferred solution, the flow demand deviation rate calculation formula is: ; in, is the flow demand deviation rate, , They are the pumping and drainage flow demand data and the rated pumping and drainage flow data respectively.

[0013] The present invention also discloses an intelligent monitoring and diagnostic system for a power station drainage system, comprising a memory and a processor, wherein the memory stores a program of the intelligent monitoring and diagnostic method for the power station drainage system, and the program of the intelligent monitoring and diagnostic method for the power station drainage system is executed by the processor.

[0014] The present invention also discloses a computer-readable storage medium, which stores an intelligent monitoring and diagnostic program for a power station's pumping and drainage system. When the intelligent monitoring and diagnostic program for a power station's pumping and drainage system is executed by a processor, the steps of the above-mentioned intelligent monitoring and diagnostic method for a power station's pumping and drainage system are implemented.

[0015] The present invention provides an intelligent monitoring and diagnosis method, system and medium for a power station pumping and drainage system, which realizes intelligent monitoring of the operating status of the pumping and drainage system and the timeliness and accuracy of fault diagnosis by real-time monitoring of water pumps, motors and pipelines, identifying their operating status, and comprehensively analyzing the operating status of the pumping and drainage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings and embodiments: Figure 1 A flow chart of an intelligent monitoring and diagnosis method for a power station drainage system provided by an embodiment of the present invention; Figure 2 A flow chart of obtaining a water pump operation status evaluation index of an intelligent monitoring and diagnosis method for a power station pumping and drainage system provided by an embodiment of the present invention; Figure 3 A flow chart of obtaining a motor operation status evaluation index of an intelligent monitoring and diagnosis method for a power station drainage system provided by an embodiment of the present invention; Figure 4 A flow chart of obtaining a pipeline operation status evaluation index in an intelligent monitoring and diagnostic method for a power station pumping and drainage system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0018] Embodiment 1: Please refer to Figure 1 , Figure 1 1 is a flow chart of an intelligent monitoring and diagnosis method for a power station drainage system in an embodiment. The intelligent monitoring and diagnosis method for a power station drainage system is used in terminal devices, such as computers, mobile phone terminals, etc.

[0019] It should be noted that in order to realize intelligent monitoring of the power station's pumping and drainage system, obtain the operating status, further diagnose the fault type and cause according to the operating status, 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 preset sensors to obtain the corresponding water pump operating parameter data, motor operating parameter data and pipeline operating parameter data, and further process them to obtain the corresponding water pump operating status evaluation index, motor operating status evaluation index and pipeline operating status evaluation index, and then obtain the mechanical system operating status evaluation index by processing the water pump operating status evaluation index and the motor operating status evaluation index, and perform comprehensive processing in combination with the pipeline operating status evaluation index to obtain the pumping and drainage system operating status evaluation index, and finally perform a threshold comparison with the preset pumping and drainage system operating status evaluation threshold, and determine the operating status of the pumping and drainage system according to the comparison result, including normal status, suspected abnormal status or abnormal status, and if it is an abnormal status, continue to extract the monitored abnormal data, and diagnose the cause of the problem and the corresponding processing method according to the abnormal data.

[0020] The intelligent monitoring and diagnosis method of the pumping and drainage system of the power station includes the following steps: S11. Acquire and process the water pump operation parameter data in the drainage system to obtain a water pump operation status evaluation index.

[0021] Reference Figure 2 , Figure 2 The present invention is a flowchart of obtaining a water pump operation status evaluation index of an intelligent monitoring and diagnosis method for a power station pumping and drainage system in some embodiments of the present application. According to an embodiment of the present invention, the water pump operation parameter data in the pumping and drainage system is obtained and processed to obtain a water pump operation status evaluation index, including: S21, obtaining water pump operation parameter data in the drainage system; S22, the water pump operation parameter data in the drainage system includes 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; S23, the water pump operating parameter data in the drainage system is obtained and processed to obtain a water pump operating status evaluation index, including inputting the real-time rotational 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 operating status evaluation model for processing to obtain a water pump operating status evaluation index.

[0022] It should be noted that by presetting sensors at key component positions of the water pump for real-time monitoring, water pump operating parameter data including real-time rotational speed data, first real-time amplitude data, first real-time vibration frequency data, real-time noise intensity data and first real-time temperature data are obtained, and the water pump operating parameter data is input into a preset water pump operating status evaluation model for processing to obtain a water pump operating status evaluation index.

[0023] The calculation formula of the water pump operation status evaluation index in the water pump operation status evaluation model is: ; in, is the pump operation status evaluation index, , , , , They 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. , , To preset the characteristic coefficient, the characteristic coefficient is obtained by querying the intelligent monitoring platform of the drainage system and used as the correction coefficient of the calculation formula.

[0024] S12, obtaining and processing the motor operating parameter data in the drainage system to obtain a motor operating status evaluation index.

[0025] Please refer to Figure 3 , Figure 3 The flowchart of the intelligent monitoring and diagnosis method for the pumping and drainage system of a power station in some embodiments of the present application is to obtain the pump operation status evaluation index. According to the embodiment of the present invention, the motor operation parameter data in the pumping and drainage system is obtained and processed to obtain the motor operation status evaluation index, including: S31, obtaining motor operating parameter data in the drainage system; S32, the motor operation parameter data 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; 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 status evaluation model for processing to obtain a motor operation status evaluation index.

[0026] It should be noted that by presetting sensors at the positions of important components of the motor for real-time monitoring, motor operating 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 operating parameter data is input into a preset motor operating status evaluation model for processing to obtain a motor operating status evaluation index.

[0027] The calculation formula of the motor operation status evaluation index in the motor operation status evaluation model is: ; in, is the motor operation status evaluation index, , , , They are second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data, respectively. , , It is a preset characteristic coefficient, which is obtained by querying the preset intelligent monitoring platform of the pumping and drainage system and serves as a correction coefficient of the calculation formula.

[0028] S13, obtaining and processing pipeline operation parameter data in the drainage system to obtain a pipeline operation status evaluation index.

[0029] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining a water pump operation status evaluation index of an intelligent monitoring and diagnosis method for a power station pumping and drainage system in some embodiments of the present application. According to an embodiment of the present invention, the pipeline operation parameter data in the pumping and drainage system is obtained and processed to obtain the pipeline operation status evaluation index, including: S41, obtaining pipeline operation parameter data in the drainage system; S42, the pipeline operation parameter data includes pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data; S43, inputting the pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data into a preset pipeline operation status evaluation model for processing to obtain a pipeline operation status evaluation index.

[0030] It should be noted that by presetting sensors at important positions of the pipeline for real-time monitoring, pipeline operation parameter data including pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data are obtained, wherein the pipeline pressure fluctuation data refers to the pressure difference data corresponding to multiple preset ranges, the pipeline flow change data refers to the flow difference data corresponding to multiple preset ranges, and the pipeline leakage rate data refers to the ratio of the inlet and outlet flow difference to the inlet flow. The pipeline operation parameter data is input into the preset pipeline operation status evaluation model for processing to obtain the pipeline operation status evaluation index.

[0031] The calculation formula of the pipeline operation status evaluation index in the pipeline operation status evaluation model is: ; in, is the pipeline operation status evaluation index, , , They are pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data. , , It is a preset characteristic coefficient, which is obtained by querying the preset intelligent monitoring platform of the pumping and drainage system and serves as a correction coefficient of the calculation formula.

[0032] S14, performing processing according to the water pump operation status evaluation index, the motor operation status evaluation index and the pipeline operation status evaluation index to obtain a drainage system operation status evaluation index.

[0033] The following steps are involved: 1) It should be noted that the drainage system mainly includes a mechanical part and a piping part, wherein the mechanical part mainly includes a motor and a water pump. Therefore, the obtained water pump operation status evaluation index and the motor operation status evaluation index are input into the preset mechanical system operation status evaluation model for processing to obtain the mechanical system operation status evaluation index.

[0034] The water pump operation status evaluation index and the motor operation status evaluation index are input into a preset mechanical system operation status evaluation model for processing to obtain a mechanical system operation status evaluation index. The calculation formula of the mechanical system operation status evaluation index in the mechanical system operation status evaluation model is: ; in, is the mechanical system operation status evaluation index, , They are the water pump operation status evaluation index and the motor operation status evaluation index, , The characteristic coefficient is preset, and the characteristic coefficient is obtained by querying the preset pumping and drainage system intelligent monitoring platform as a correction coefficient of the calculation formula; 2) Inputting the mechanical system operation status evaluation index and the pipeline operation status evaluation index into a preset pumping and drainage system operation status evaluation model for processing, to obtain the pumping and drainage system operation status evaluation index. The calculation formula of the pumping and drainage system operation status evaluation index in the pumping and drainage system operation status evaluation model is: ; in, It is the evaluation index of the operation status of the drainage system. , They are the mechanical system operation status evaluation index and the pipeline operation status evaluation index, , , It is a preset characteristic coefficient, which is obtained by querying the preset intelligent monitoring platform of the pumping and drainage system and serves as a correction coefficient of the calculation formula.

[0035] S15, comparing the pumping and drainage system operation status evaluation index with a preset pumping and drainage system operation status evaluation threshold, and determining the pumping and drainage system operation status according to the comparison result.

[0036] The step of comparing the pumping and drainage system operation status evaluation index with a preset pumping and drainage system operation status evaluation threshold, and determining the pumping and drainage system operation status according to the comparison result, includes: Comparing the pumping and drainage system operation status assessment index with a preset pumping and drainage system operation status assessment threshold, wherein the preset pumping and drainage system operation status assessment threshold includes a first preset pumping and drainage system operation status assessment threshold and a second preset pumping and drainage system operation status assessment threshold, and the first preset pumping and drainage system operation status assessment threshold is less than the second preset pumping and drainage system operation status assessment threshold; If the pumping and drainage system operation status assessment index is less than or equal to the first preset pumping and drainage system operation status assessment threshold, it corresponds to a normal state; If the pumping and drainage system operation status assessment index is greater than the first preset pumping and drainage system operation status assessment threshold, and is less than or equal to the second preset pumping and drainage system operation status assessment threshold, then a warning is output to the management terminal for display corresponding to a suspected abnormal state; If the pumping and drainage system operation status assessment index is greater than the second preset pumping and drainage system operation status assessment threshold, then corresponding to the abnormal state, the abnormal parameter data is extracted, and the preset fault handling method list is queried according to the abnormal parameter data to obtain the corresponding fault handling method and send it to the management end for display.

[0037] It should be noted that, in order to determine the operating status of the drainage system, the obtained drainage system operating status evaluation index is compared with the preset drainage system operating status evaluation threshold. In this embodiment, the first drainage system operating status evaluation threshold is set to 0.3, and the second drainage system operating status evaluation threshold is set to 0.45, that is, (0, 0.3], (0.3, 0.45], and (0.45, 1], which correspond to the normal state, the suspected abnormal state, and the abnormal state, respectively; for example, if the obtained drainage system operating status evaluation index is 0.1, it corresponds to the normal state, indicating that the drainage system is operating normally, and real-time monitoring can be continued; if the obtained drainage system operating status evaluation index is 0.4, it corresponds to the suspected abnormal state, and it is necessary to output an early warning to the management end for display, and the operation and maintenance personnel further confirm it; if the obtained drainage system operating status evaluation index is 0.5, it corresponds to the abnormal state, and the abnormal parameter data is extracted. According to the abnormal parameter data, the preset fault handling method list is queried to obtain the corresponding fault handling method and send it to the management end for display, wherein the preset fault handling method list is obtained by obtaining a large amount of historical abnormal parameter data and training the corresponding fault handling method, and can also be manually maintained by the operation and maintenance personnel.

[0038] Embodiment 2: Different from the first embodiment, an intelligent monitoring and diagnosis method for a power station drainage system further includes adjusting the number of water pumps turned on or the rated drainage flow rate according to the drainage data, and the operation is as follows: Obtaining and processing the water volume data to be pumped and the preset pumping and drainage time data to obtain the pumping and drainage flow demand data; Obtain the rated pumping and drainage flow data of the pumping and drainage system; Obtaining a flow demand deviation rate by comparing the pumping and drainage flow demand data with the rated pumping and drainage flow data; The flow demand deviation rate is compared with the preset flow demand deviation threshold. If it is less than or equal to the preset flow demand deviation threshold, the pumping and drainage system meets the demand; if it is greater than the preset flow demand deviation threshold, and the pumping and drainage flow demand data is less than the rated pumping and drainage flow data, the number of water pumps turned on is reduced or the rated pumping and drainage flow is adjusted; if it is greater than the preset flow demand deviation threshold, and the pumping and drainage flow demand data is greater than the rated pumping and drainage flow data, the number of water pumps turned on is increased or the rated pumping and drainage flow is adjusted.

[0039] It should be noted that when performing pumping and drainage operations, there are often time limits. In order to ensure the timeliness of water pumping and drainage, the water volume data to be pumped and the preset pumping and drainage time data are first obtained for processing to obtain the pumping and drainage flow demand data. For example, if the water volume data is 1000m³ and the preset pumping and drainage time data is 1h, then 1000 / 1=1000m³ / h is the pumping and drainage flow demand data. Then, the rated pumping and drainage flow data of the pumping and drainage system is obtained, and the pumping and drainage flow demand data and the rated pumping and drainage flow data are compared and processed to obtain the flow demand deviation rate. The flow demand deviation rate calculation formula is: ; in, is the flow demand deviation rate, , They are the pumping and drainage flow demand data and the rated pumping and drainage flow data respectively; Finally, the obtained flow demand deviation rate is compared with the preset flow demand deviation threshold. In this embodiment, the preset flow demand deviation threshold is set to (0, 0.15], (0.15, 1]; for example, if the obtained flow demand deviation rate is 0.1, the pumping and drainage system meets the demand; if the obtained flow demand deviation rate is 0.3, and the pumping and drainage flow demand data is less than the rated pumping and drainage flow data, it means that the rated flow of the pump is too large, which will increase energy consumption, then reduce the number of water pumps turned on or adjust the rated pumping and drainage flow; if the obtained flow demand deviation rate is 0.3, and the pumping and drainage flow demand data is greater than the rated pumping and drainage flow data, it means that the rated flow of the pump is insufficient and the pumping and drainage operation cannot be completed within the specified time, then increase the number of water pumps turned on or adjust the rated pumping and drainage flow.

[0040] Embodiment 3: Different from the first embodiment, an intelligent monitoring and diagnosis method for a power station drainage system, according to an embodiment of the present invention, further includes: Get real-time water velocity data and real-time wind and wave height data; Inputting the real-time water velocity data and the real-time wind and wave height data into a preset stability demand assessment model for processing to obtain a stability demand index; Comparing the stability demand index with a preset stability demand threshold to obtain a relative stability demand value; The relative value of the stability requirement is compared with a preset stability requirement level threshold, the stability requirement level is obtained according to the comparison result, and the water pump stability adjustment is performed.

[0041] It should be noted that when the water pump is performing pumping and drainage operations underwater, the water flow and wind and wave fluctuations may cause the water pump to undergo a large displacement. Therefore, it is necessary to first obtain real-time water flow rate data and real-time wind and wave height data and input them into the preset stability demand assessment model for processing to obtain the stability demand index. The calculation formula of the stability demand index in the stability demand evaluation model is: ; in, To stabilize the demand index, , Real-time water velocity data and real-time wind and wave height data, , is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the intelligent monitoring platform of the pumping and drainage system); The obtained stability demand index is compared with the preset stability demand threshold to obtain the relative value of the stability demand. For example, the obtained stability demand index is 20, and the preset stability demand threshold is 100, then 20 / 100=0.2, which is the relative value of the stability demand. Then the relative value of the stability demand is compared with the preset stability demand level threshold. In this embodiment, the preset stability demand level thresholds are set to (0.0.25), [0.25, 0.35], and (0.35, 1], which correspond to level 1, level 2, and level 3, respectively, among which level 3 has the highest requirements. For example, the obtained relative value of the stability demand is 0.2, which corresponds to level 1. The water pump is stabilized according to the preset requirements.

[0042] Embodiment 4: Different from the first embodiment, an intelligent monitoring and diagnosis method for a power station drainage system, according to an embodiment of the present invention, further includes: Obtain the flow data, head data, efficiency data and pipeline resistance average data of the water pump; The flow data, lift data, efficiency data and pipeline resistance average data are processed in combination with the water volume data to obtain predicted pumping and drainage operation time data; The predicted pumping and drainage operation time data is processed in combination with the historical unit time average power consumption data to obtain predicted power consumption data; Obtain preset power supply data; Comparing the predicted power consumption data with the power supply data to obtain a power supply profit and loss coefficient; A threshold comparison is performed based on the energy supply profit and loss coefficient and a preset energy supply profit and loss threshold, and the power supply mode is adjusted based on the comparison result.

[0043] It should be noted that the power system is the basic guarantee for the normal operation of the pumping and drainage system. Whether the power supply is sufficient is an important factor in whether the pumping and drainage can operate effectively. Therefore, the flow data, head data, efficiency data and pipeline resistance mean data of the water pump are first obtained, and then the water volume data to be drained are processed to obtain the predicted pumping and drainage operation time data, and finally the historical unit time power consumption mean data are 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, the energy supply profit and loss coefficient is obtained, 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, there is no need to adjust 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 adding energy supply equipment and adjusting the capacity of the power supply cabinet.

[0044] Embodiment 5: The present embodiment discloses an intelligent monitoring and diagnostic system for a power station pumping and drainage system, comprising a memory and a processor, wherein the memory stores a program of an intelligent monitoring and diagnostic method for a power station pumping and drainage system as described in any one of Embodiments 1 to 4, and the program of the intelligent monitoring and diagnostic method for a power station pumping and drainage system is executed by the processor.

[0045] It should be noted that in order to realize intelligent monitoring of the power station's pumping and drainage system, obtain the operating status, further diagnose the fault type and cause according to the operating status, 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 preset sensors to obtain the corresponding water pump operating parameter data, motor operating parameter data and pipeline operating parameter data, and further process them to obtain the corresponding water pump operating status evaluation index, motor operating status evaluation index and pipeline operating status evaluation index, and then obtain the mechanical system operating status evaluation index by processing the water pump operating status evaluation index and the motor operating status evaluation index, and perform comprehensive processing in combination with the pipeline operating status evaluation index to obtain the pumping and drainage system operating status evaluation index, and finally perform a threshold comparison with the preset pumping and drainage system operating status evaluation threshold, and determine the operating status of the pumping and drainage system according to the comparison result, including normal status, suspected abnormal status or abnormal status, and if it is an abnormal status, continue to extract the monitored abnormal data, and diagnose the cause of the problem and the corresponding processing method according to the abnormal data.

[0046] Embodiment 6: The present embodiment discloses a computer-readable storage medium, in which an intelligent monitoring and diagnostic program for a power station's pumping and drainage system is stored. When the intelligent monitoring and diagnostic program for a power station's pumping and drainage system is executed by a processor, the steps of the intelligent monitoring and diagnostic method for a power station's pumping and drainage system as described in any one of Embodiments 1 to 4 are implemented.

[0047] The present invention discloses an intelligent monitoring and diagnosis method, system and medium for a power station pumping and drainage system, which realizes intelligent monitoring of the pumping and drainage system operating status and the timeliness and accuracy of fault diagnosis by real-time monitoring of water pumps, motors and pipelines, identifying their operating status and comprehensively analyzing the operating status of the pumping and drainage system.

[0048] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent monitoring and diagnostic method for a power station drainage system, characterized in that: The following steps are involved: Acquire and process the water pump operating parameter data in the drainage system to obtain the water pump operating status evaluation index; Obtain and process the motor operating parameter data in the drainage system to obtain the motor operating status evaluation index; Obtain and process the pipeline operation parameter data in the drainage system to obtain the pipeline operation status evaluation index; Processing is performed according to the water pump operation status evaluation index, the motor operation status evaluation index and the pipeline operation status evaluation index to obtain a pumping and drainage system operation status evaluation index; The pumping and drainage system operation status evaluation index is compared with a preset pumping and drainage system operation status evaluation threshold, and the pumping and drainage system operation status is determined according to the comparison result.

2. The intelligent monitoring and diagnosis method for a power station drainage system according to claim 1, characterized in that: The water pump operation parameter data in the drainage system includes 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; The step of obtaining and processing the water pump operation parameter data in the drainage system to obtain the water pump operation status evaluation index comprises 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 status evaluation model for processing to obtain the water pump operation status evaluation index; The calculation formula of the water pump operation status evaluation index in the water pump operation status evaluation model is: ； in, is the pump operation status evaluation index, , , , , They 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. , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

3. The intelligent monitoring and diagnosis method for a power station drainage system according to claim 1 is characterized in that: 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; 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 calculation formula of the motor operation status evaluation index in the motor operation status evaluation model is: ； in, is the motor operation status evaluation index, , , , They are second real-time temperature data, second real-time amplitude data, second real-time vibration frequency data and real-time current data, respectively. , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

4. The intelligent monitoring and diagnosis method for a power station drainage system according to claim 1, characterized in that: The pipeline operation parameter data includes pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data; Inputting the pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data into a preset pipeline operation status evaluation model for processing to obtain a pipeline operation status evaluation index; The calculation formula of the pipeline operation status evaluation index in the pipeline operation status evaluation model is: ； in, is the pipeline operation status evaluation index, , , They are pipeline pressure fluctuation data, pipeline flow change data and pipeline leakage rate data. , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

5. The intelligent monitoring and diagnosis method for a power station drainage system according to claim 1, characterized in that: The processing according to the water pump operation status evaluation index, the motor operation status evaluation index and the pipeline operation status evaluation index to obtain the pumping and drainage system operation status evaluation index includes: 1) The water pump operation status evaluation index and the motor operation status evaluation index are input into a preset mechanical system operation status evaluation model for processing to obtain a mechanical system operation status evaluation index. The calculation formula of the mechanical system operation status evaluation index in the mechanical system operation status evaluation model is: ； in, is the mechanical system operation status evaluation index, , They are the water pump operation status evaluation index and the motor operation status evaluation index, , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula; 2) Inputting the mechanical system operation status evaluation index and the pipeline operation status evaluation index into a preset pumping and drainage system operation status evaluation model for processing, and obtaining the pumping and drainage system operation status evaluation index. The pumping and drainage system operation status evaluation index calculation formula in the pumping and drainage system operation status evaluation model is: ； in, It is the evaluation index of the operation status of the pumping and drainage system. , They are the mechanical system operation status evaluation index and the pipeline operation status evaluation index, , , It is the preset characteristic coefficient, which is used as the correction coefficient of the calculation formula.

6. The intelligent monitoring and diagnosis method for a power station drainage system according to claim 1, characterized in that: The step of comparing the pumping and drainage system operation status evaluation index with a preset pumping and drainage system operation status evaluation threshold, and determining the pumping and drainage system operation status according to the comparison result, includes: Comparing the pumping and drainage system operation status assessment index with a preset pumping and drainage system operation status assessment threshold, wherein the preset pumping and drainage system operation status assessment threshold includes a first preset pumping and drainage system operation status assessment threshold and a second preset pumping and drainage system operation status assessment threshold, and the first preset pumping and drainage system operation status assessment threshold is less than the second preset pumping and drainage system operation status assessment threshold; If the pumping and drainage system operation status assessment index is less than or equal to the first preset pumping and drainage system operation status assessment threshold, it corresponds to a normal state; If the pumping and drainage system operation status assessment index is greater than the first preset pumping and drainage system operation status assessment threshold, and is less than or equal to the second preset pumping and drainage system operation status assessment threshold, then a warning is output to the management terminal for display corresponding to a suspected abnormal state; If the pumping and drainage system operation status assessment index is greater than the second preset pumping and drainage system operation status assessment threshold, then corresponding to the abnormal state, the abnormal parameter data is extracted, and the preset fault handling method list is queried according to the abnormal parameter data to obtain the corresponding fault handling method and send it to the management end for display.

7. The intelligent monitoring and diagnosis method for a power station drainage system according to claim 1, characterized in that: It also includes adjusting the number of water pumps turned on or the rated water pumping and drainage flow rate according to the pumping and drainage data. The operation is as follows: Obtaining and processing the water volume data to be pumped and the preset pumping and drainage time data to obtain the pumping and drainage flow demand data; Obtain the rated pumping and drainage flow data of the pumping and drainage system; Obtaining a flow demand deviation rate by comparing the pumping and drainage flow demand data with the rated pumping and drainage flow data; The flow demand deviation rate is compared with the preset flow demand deviation threshold. If it is less than or equal to the preset flow demand deviation threshold, the pumping and drainage system meets the demand; if it is greater than the preset flow demand deviation threshold, and the pumping and drainage flow demand data is less than the rated pumping and drainage flow data, the number of water pumps turned on is reduced or the rated pumping and drainage flow is adjusted; if it is greater than the preset flow demand deviation threshold, and the pumping and drainage flow demand data is greater than the rated pumping and drainage flow data, the number of water pumps turned on is increased or the rated pumping and drainage flow is adjusted.

8. The intelligent monitoring and diagnosis method for a power station drainage system according to claim 7, characterized in that: The flow demand deviation rate calculation formula is: ； in, is the flow demand deviation rate, , They are the pumping and drainage flow demand data and the rated pumping and drainage flow data respectively.

9. An intelligent monitoring and diagnostic system for a power station drainage system, characterized in that: It comprises a memory and a processor, wherein the memory stores a program of the intelligent monitoring and diagnostic method for the pumping and drainage system of a power station as claimed in any one of claims 1 to 8, and the program of the intelligent monitoring and diagnostic method for the pumping and drainage system of a power station is executed by the processor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an intelligent monitoring and diagnostic program for a power plant pumping and drainage system. When the intelligent monitoring and diagnostic program for a power plant pumping and drainage system is executed by a processor, the steps of the intelligent monitoring and diagnostic method for a power plant pumping and drainage system as described in any one of claims 1 to 8 are implemented.

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