CN112343810A - Water pump health monitoring and diagnosing method for circulating water cooling system - Google Patents
Water pump health monitoring and diagnosing method for circulating water cooling system Download PDFInfo
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 140
- 230000036541 health Effects 0.000 title claims abstract description 56
- 238000012544 monitoring process Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 42
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- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000003745 diagnosis Methods 0.000 claims abstract description 12
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- ORMFWDWAJNERRN-UHFFFAOYSA-N Homophytanic acid Chemical compound CC(C)CCCC(C)CCCC(C)CCCC(C)CCC(O)=O ORMFWDWAJNERRN-UHFFFAOYSA-N 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
Abstract
The invention relates to the technical field of water pump health diagnosis, in particular to a water pump health monitoring and diagnosing method for a circulating water cooling system, which comprises the following steps: pre-storing data information of the water pump in a normal running state; acquiring five types of data information of the real-time operation of the water pump; analyzing the five types of data information respectively, and comparing the five types of data information with the data information in a normal operation state to generate a comparison result; analyzing the health indexes of the five types of data through different weights to generate health index analysis results; and monitoring and diagnosing the faults of the water pump through the comparison result and the health index analysis result. The invention comprehensively judges and analyzes through various monitoring methods, finds potential faults of the water pump in advance, can accurately analyze the severity and the position of the faults and gives maintenance suggestions.
Description
Technical Field
The invention relates to the technical field of water pump health diagnosis, in particular to a water pump health monitoring and diagnosing method for a circulating water cooling system.
Background
The pump station formed by water pump and water pump is a mechanical equipment for conveying liquid or pressurizing liquid. The energy-saving device transmits the mechanical energy of a prime motor to liquid, increases the energy of the liquid, is mainly used for conveying the liquid including water, oil, acid-base liquid, emulsion, suspension emulsion and the like, and is widely applied to multiple fields of urban water supply, heating ventilation, air conditioning and refrigeration, sewage, buildings, power stations, petrochemical industry, metallurgy, light industry, direct-current transmission cooling, electronics, medical treatment, data centers and the like.
Water pumps and pump stations play an important role in national economy and production, in some key fields, such as direct-current transmission converter valve cooling, power grid reactive compensation cooling, medical treatment and the like, water pump faults can cause serious economic loss and social influence and production stagnation, and along with the importance of people on product reliability, the monitoring and fault diagnosis of potential hidden dangers of key parts through advanced and perfect technologies are particularly important.
In order to improve the reliability of a water pump and a pump station, the prior technical route is mainly combined with a pump station process to carry out corresponding redundancy configuration and protection, such as adding a redundancy pump, redundant power supply, overload, overcurrent, open-phase protection, flow pressure, temperature protection and the like, timely switching or alarming is carried out according to the operation condition, equipment is maintained and replaced after a fault occurs, but the potential fault reason is difficult to analyze, related information cannot be obtained in advance before the fault occurs, the problem cannot be thoroughly solved, a set of complete water pump health monitoring and diagnosis and analysis method needs to be established, potential hidden dangers of the water pump can be monitored, and the fault accurate positioning and fault severity degree can be obtained according to the diagnosis information.
Disclosure of Invention
In order to solve the problems, the invention provides a water pump health monitoring and diagnosing method for a circulating water cooling system. The invention comprehensively judges and analyzes through various monitoring methods, finds potential faults of the water pump in advance, can accurately analyze the severity and the position of the faults and gives maintenance suggestions.
A water pump health monitoring and diagnosing method for a circulating water cooling system comprises the following steps:
pre-storing data information of the water pump in a normal running state;
acquiring five types of data information of the real-time operation of the water pump;
analyzing the five types of data information respectively, and comparing the five types of data information with the data information in a normal operation state to generate a comparison result;
analyzing the health indexes of the five types of data through different weights to generate health index analysis results;
and monitoring and diagnosing the faults of the water pump through the comparison result and the health index analysis result.
Preferably, the five types of data are respectively: the data comprise first-class electric energy and hydraulic data, second-class vibration data, third-class leakage data, fourth-class noise data and fifth-class temperature data.
Further preferably, when the real-time operation status information is a type of electric energy and hydraulic data, the method includes:
acquiring first-class electric energy and hydraulic data of the water pump in the current operation period, wherein the first-class electric energy and hydraulic data comprise data of inlet and outlet pressure, flow, current, voltage, water temperature and the like of the water pump;
calculating the operation working point, efficiency and electric power redundancy coefficient of the water pump according to the type of electric energy and hydraulic data in the current operation period as data information in the current operation period;
establishing a plurality of historical data according to a time axis, wherein the abscissa of the time axis is time, and the ordinate of the time axis is a water pump operation working point, efficiency and redundancy coefficient which are respectively stored in a database;
respectively storing the working point of the water pump, the efficiency and the limit values corresponding to the power redundancy coefficient of the motor in a database;
calling a working point, efficiency, a motor power redundancy coefficient and a limit value in the same operation period in a database to compare with data information in the current operation period;
and if the change trend of the data information and the data value in the current operation period exceed the allowable range, sending out prompt information.
Further preferably, when the real-time operation status information is two types of vibration data, the method includes:
acquiring real-time vibration measurement data, and filtering the vibration measurement data;
obtaining second-class vibration data through the filtered vibration measurement data, wherein the second-class vibration data comprise vibration speed, vibration speed frequency spectrum, time domain waveform and acceleration envelope spectrum information;
respectively generating a trend graph and a 3D waterfall graph for the second-class vibration data, and storing the trend graph and the 3D waterfall graph in a database as real-time data information;
acquiring vibration speed, vibration speed frequency spectrum, time domain waveform and acceleration envelope spectrum information under the normal operation of the water pump, and constructing a trend graph and a 3D waterfall graph to be stored in a database;
obtaining a motor vibration speed design value and storing the motor vibration speed design value in a database;
acquiring bearing parameters matched with a water pump and a motor, calculating fault frequency of each part of a bearing and storing the fault frequency in data;
calling a trend graph and a design value in a database to be compared with real-time data information;
if the real-time data information exceeds the allowable range, alarm information is sent out, and the vibration speed, the vibration speed frequency spectrum, the time domain waveform and the acceleration envelope spectrum information of the water pump at the moment are taken for fault diagnosis.
Further preferably, the fault diagnosis includes fault types of mechanical fault and bearing fault;
the analysis method of the mechanical fault comprises the following steps: storing the frequency spectrum of the common fault curve in a database; and comparing the obtained vibration speed frequency spectrum and time domain waveform of the water pump and the motor with the vibration speed frequency spectrum and time domain waveform in normal operation, and simultaneously comparing the obtained vibration speed frequency spectrum and time domain waveform with a mechanical fault curved frequency spectrum to analyze and judge the fault occurrence position, the fault severity and a maintenance suggestion.
Further preferably, the analysis method of the bearing fault comprises the following steps: storing the acceleration envelope spectrum and the bearing calculation defect frequency in normal operation in a database; and acquiring an acceleration envelope spectrum in running, comparing the acceleration envelope spectrum with an acceleration envelope spectrum and bearing calculation defect frequency in normal running in a database, and analyzing and judging the fault severity of each component of the bearing and a maintenance suggestion.
Wherein the bearing failure comprises: the fault frequency of the retainer, the rotation fault frequency of the rolling body, the fault frequency of an outer ring and the fault frequency of an inner ring;
the calculation method of the fault frequency of the retainer comprises the following steps:
；
the method for calculating the rotating fault frequency of the rolling body comprises the following steps:
；
the method for calculating the outer ring fault frequency comprises the following steps:
；
the inner ring fault frequency calculation method comprises the following steps:
；
wherein D is the diameter of the rolling body, D is the diameter of the bearing pitch circle,
as the contact angle, n is the number of rolling elements, No is the rotational speed of the outer ring of the bearing, and Ni is the rotational speed of the inner ring of the bearing.
Further preferably, when the real-time operation state information is three types of leakage data:
establishing liquid level change relation data along a time axis according to the collected liquid and storing the data in a database;
and when the level value and the trend change of the collected liquid exceed the preset allowable range in the database, giving an alarm for prompting.
Further preferably, when the real-time operation state information is four types of noise data:
when the anhydrous pump runs, acquiring a noise background frequency spectrum;
calculating the characteristic frequency of the background noise according to the noise background frequency spectrum, and storing the characteristic frequency in a database;
acquiring noise characteristic frequency of a water pump in normal operation and storing the noise characteristic frequency in a database;
acquiring noise data when the water pump operates;
calculating noise characteristic frequency according to the noise data;
comparing the noise characteristic frequency with the background noise characteristic frequency and the noise characteristic frequency in normal operation; and obtaining a noise change rule, and comprehensively judging the fault information of the water pump together with the second-class vibration data.
Further preferably, when the real-time operation state information is five types of temperature data:
acquiring temperature data of a water pump in operation;
acquiring temperature curves and temperature images of the water pump and the motor according to the temperature data to serve as real-time temperature data;
storing the design limit values of the operating temperatures of the water pump and the motor in a database;
storing historical temperature curves and temperature imaging data of the water pump and the motor in a database;
comparing the real-time temperature data with a temperature design value, temperature curves and temperature images of a historical water pump and a historical motor;
and if the change trend of the real-time temperature data and the data value exceed the allowable range, sending an alarm prompt.
Preferably, the water pump health index is h (i):
H(i)＝
×EQH+
×VH+
×NH+
×WH+
×TH+
×CLH；
wherein EQH is the electric energy and hydraulic index, VH is the vibration data index, NH is the noise data index, WH is the leakage data index, TH is the temperature data index, CLH is the key component life index,
are weights.
Further preferably, the mathematical model of the electric power and hydraulic power index EQH is as follows:
EQH=
×I+
×V+
×H+
×K+
×QH；
wherein I is current, V is voltage, H is frequency, K is power redundancy, QH is hydraulic operating point, the five data are main pump electric energy and hydraulic index EQH running health parameters respectively, and each parameter is obtained by analyzing and calculating trend according to test calculation results and standard design data.
Further preferably, the vibration data index VH mathematical model is as follows:
VH=
×VHPx+
×VHPy+
×VHMDx+
×VHMDy；
the four kinds of data are running health data under main pump vibration data indexes VH respectively, and each parameter is obtained by analyzing and calculating the trend according to the test result and standard design data.
Further preferably, the noise data index NH and the leakage data index WH are obtained by analyzing and trend-calculating the test result and normal operation data, and when abnormality occurs, the data are directly substituted into the water pump health index for calculation.
Further preferably, the temperature data index TH mathematical model is as follows:
TH=
×THPD+
×THPND+
×THMD；
the three data are running health data under the temperature data index TH of the main pump respectively, and each parameter is obtained by analyzing and calculating the trend according to the test result and standard design data.
Further preferably, the CLH mathematical model of the key component life indicator is as follows:
CLH=
×CLHFC+
×CLHV+
×CLHCV+
×CLHMS+
×CLHPB+
×CLHMB+
×CLHc+
×CLHPA+
×CLHMA；
the system comprises a main pump, a CLHFC, a CLHV, an inlet and outlet valve, a CLHCV check valve, a CLHMS, a mechanical seal, a CLHPB, a CLHMB, a motor bearing, a CLHc, a shaft coupling, a CLHPA and a motor shaft, wherein the CLHFC represents soft connection, the CLHV represents an inlet and outlet valve, the CLHCV represents a check valve, the CLHMS represents a mechanical seal, the CLHPB represents a pump bearing, the CLHMB represents a motor bearing, the CLHc represents a shaft coupling, the CLHPA represents a pump.
Compared with the prior art, the invention has the beneficial effects that: the invention discloses a water pump health monitoring, diagnosing and analyzing method applied to a circulating water cooling system, which comprises the steps of collecting five types of data, sensing to obtain water pump state information, establishing a water pump running state information database through continuous monitoring, comparing real-time monitoring data with data in the database and updating the database information, realizing real-time health monitoring of a water pump, and giving health monitoring evaluation results and suggestions to a user for decision making; when the change of the monitoring data exceeds the preset data, the fault can be diagnosed through the monitoring data, and a reasonable maintenance suggestion is given.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a schematic flow chart of a water pump health monitoring and diagnosing method for a circulating water cooling system according to the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic drawings and illustrate only the basic flow diagram of the invention, and therefore they show only the flow associated with the invention.
Example 1
As shown in fig. 1, the present invention is a water pump health monitoring and diagnosing method for a circulating water cooling system, and the method specifically comprises:
s1, pre-storing data information of a water pump in a normal running state;
s2, acquiring five types of data information of the real-time operation of the water pump;
s3, analyzing the five types of data information respectively, comparing the five types of data information with the data information in a normal operation state, and generating a comparison result;
s4, performing health index analysis on the five types of data through different weights to generate a health index analysis result;
and S5, monitoring and diagnosing the faults of the water pump through the comparison result and the health index analysis result.
The five types of data are respectively as follows: the data comprise first-class electric energy and hydraulic data, second-class vibration data, third-class leakage data, fourth-class noise data and fifth-class temperature data.
When the real-time running state information is electric energy and hydraulic data of one type, the method comprises the following steps:
acquiring first-class electric energy and hydraulic data of the water pump in the current operation period, wherein the first-class electric energy and hydraulic data comprise data of inlet and outlet pressure, flow, current, voltage, water temperature and the like of the water pump;
calculating the operation working point, efficiency and electric power redundancy coefficient of the water pump according to the type of electric energy and hydraulic data in the current operation period as data information in the current operation period;
establishing a plurality of historical data according to a time axis, wherein the abscissa of the time axis is time, and the ordinate of the time axis is a water pump operation working point, efficiency and redundancy coefficient which are respectively stored in a database;
respectively storing the working point of the water pump, the efficiency and the limit values corresponding to the power redundancy coefficient of the motor in a database;
calling a working point, efficiency, a motor power redundancy coefficient and a limit value in the same operation period in a database to compare with data information in the current operation period;
and if the change trend of the data information and the data value in the current operation period exceed the allowable range, sending out prompt information.
When the real-time running state information is the second type of vibration data, the method comprises the following steps:
acquiring real-time vibration measurement data, and filtering the vibration measurement data;
obtaining second-class vibration data through the filtered vibration measurement data, wherein the second-class vibration data comprise vibration speed, vibration speed frequency spectrum, time domain waveform and acceleration envelope spectrum information;
respectively generating a trend graph and a 3D waterfall graph for the second-class vibration data, and storing the trend graph and the 3D waterfall graph in a database as real-time data information;
acquiring vibration speed, vibration speed frequency spectrum, time domain waveform and acceleration envelope spectrum information under the normal operation of the water pump, and constructing a trend graph and a 3D waterfall graph to be stored in a database;
obtaining a motor vibration speed design value and storing the motor vibration speed design value in a database;
acquiring bearing parameters matched with a water pump and a motor, calculating fault frequency of each part of a bearing and storing the fault frequency in data;
calling a trend graph and a design value in a database to be compared with real-time data information;
if the real-time data information exceeds the allowable range, alarm information is sent out, and the vibration speed, the vibration speed frequency spectrum, the time domain waveform and the acceleration envelope spectrum information of the water pump at the moment are taken for fault diagnosis.
The fault type included in the fault diagnosis is a mechanical fault and a bearing fault;
the analysis method of the mechanical fault comprises the following steps: storing the frequency spectrum of the common fault curve in a database; and comparing the obtained vibration speed frequency spectrum and time domain waveform of the water pump and the motor with the vibration speed frequency spectrum and time domain waveform in normal operation, and simultaneously comparing the obtained vibration speed frequency spectrum and time domain waveform with a mechanical fault curved frequency spectrum to analyze and judge the fault occurrence position, the fault severity and a maintenance suggestion.
The analysis method of the bearing fault comprises the following steps: storing the acceleration envelope spectrum and the bearing calculation defect frequency in normal operation in a database; and acquiring an acceleration envelope spectrum in running, comparing the acceleration envelope spectrum with an acceleration envelope spectrum and bearing calculation defect frequency in normal running in a database, and analyzing and judging the fault severity of each component of the bearing and a maintenance suggestion.
Wherein the bearing failure comprises: the fault frequency of the retainer, the rotation fault frequency of the rolling body, the fault frequency of an outer ring and the fault frequency of an inner ring;
the calculation method of the fault frequency of the retainer comprises the following steps:
；
the method for calculating the rotating fault frequency of the rolling body comprises the following steps:
；
the method for calculating the outer ring fault frequency comprises the following steps:
；
the inner ring fault frequency calculation method comprises the following steps:
；
wherein D is the diameter of the rolling body, D is the diameter of the bearing pitch circle,
as the contact angle, n is the number of rolling elements, No is the rotational speed of the outer ring of the bearing, and Ni is the rotational speed of the inner ring of the bearing.
When the real-time running state information is three types of leakage data:
establishing liquid level change relation data along a time axis according to the collected liquid and storing the data in a database;
and when the level value and the trend change of the collected liquid exceed the preset allowable range in the database, giving an alarm for prompting.
When the real-time running state information is four types of noise data:
when the anhydrous pump runs, acquiring a noise background frequency spectrum;
calculating the characteristic frequency of the background noise according to the noise background frequency spectrum, and storing the characteristic frequency in a database;
acquiring noise characteristic frequency of a water pump in normal operation and storing the noise characteristic frequency in a database;
acquiring noise data when the water pump operates;
calculating noise characteristic frequency according to the noise data;
comparing the noise characteristic frequency with the background noise characteristic frequency and the noise characteristic frequency in normal operation; and obtaining a noise change rule, and comprehensively judging the fault information of the water pump together with the second-class vibration data.
When the real-time running state information is five types of temperature data:
acquiring temperature data of a water pump in operation;
acquiring temperature curves and temperature images of the water pump and the motor according to the temperature data to serve as real-time temperature data;
storing the design limit values of the operating temperatures of the water pump and the motor in a database;
storing historical temperature curves and temperature imaging data of the water pump and the motor in a database;
comparing the real-time temperature data with a temperature design value, temperature curves and temperature images of a historical water pump and a historical motor;
and if the change trend of the real-time temperature data and the data value exceed the allowable range, sending an alarm prompt.
In the analysis of the fault, the method further comprises the following steps: analysis of key parts, such as: mechanical seal, bearing, oil seal, oil cup, shaft coupling, lubricating oil/grease, shaft, impeller, check valve and metal flexible connection design life cycle monitoring. The method specifically comprises the following steps: and the operation stop state of the water pump is judged after filtering according to the acquired vibration speed, the operation period of key parts of the water pump is monitored, the operation period is compared and judged with the design period of the key parts in a database, prompt information is output in advance, a purchase and maintenance plan is convenient to make, big data analysis is carried out according to failure data in the first-class data to the fifth-class data, and the design life cycle of the key parts is corrected.
The method comprises the steps of utilizing vibration, temperature, flow, pressure, noise, rotating speed, voltage, current and the like to carry out sensing to obtain water pump state information, establishing a water pump running state information database through continuous monitoring, comparing real-time monitoring data with data in the database and updating database information, realizing real-time health monitoring of the water pump, and giving health monitoring evaluation results and suggestions to a user for decision making. When the operation state change of the water pump exceeds a preset value, the vibration frequency spectrum, the envelope spectrum and the time domain waveform which are monitored in real time are analyzed with data in a database and the inherent failure frequency spectrum of the equipment, so that the accurate reason and the failure severity are determined, and a user can make a maintenance plan.
Example 2
This example includes all the technical features of example 1, and at the same time, gives a detailed judgment method about the health index:
the health index of the water pump is H (i):
H(i)＝
×EQH+
×VH+
×NH+
×WH+
×TH+
×CLH；
wherein EQH is the electric energy and hydraulic index, VH is the vibration data index, NH is the noise data index, WH is the leakage data index, TH is the temperature data index, CLH is the key component life index,
are weights.
In particular implementation, the weights may be set as follows:
weight 15%,
Weight 25%,
Weight 10%,
Weight 25%,
Weight 15%,
The weight is 10%.
When Hi is more than or equal to 90; the running state is good;
hi is more than 90 and more than or equal to 75; allowing long-term operation;
hi is more than 75 and more than or equal to 60; the device can not operate for a long time and needs to be inspected intensively;
hi is less than 60; the equipment is abnormal, which can cause damage to the equipment. Establishing a water pump running state information database through continuous monitoring, comparing real-time monitoring data with data in the database and updating database information, realizing real-time health monitoring of the water pump, and giving health monitoring evaluation results and suggestions to a user for decision making; when the change of the monitoring data exceeds the preset data, the fault can be diagnosed through the monitoring data, and a reasonable maintenance suggestion is given.
The electric energy and hydraulic power index EQH mathematical model is as follows:
EQH=
×I+
×V+
×H+
×K+
×QH；
wherein I is current, V is voltage, H is frequency, K is power redundancy, QH is hydraulic operating point, the five data are main pump electric energy and hydraulic index EQH running health parameters respectively, and each parameter is obtained by analyzing and calculating trend according to test calculation results and standard design data. In particular implementations, the weights may be set as follows:
weight 25%,
Weight 15%,
Weight 15%,
Weight 25%,
The weight is 20%.
The vibration data index VH mathematical model is as follows:
VH=
×VHPx+
×VHPy+
×VHMDx+
×VHMDy；
the four kinds of data are running health data under main pump vibration data indexes VH respectively, and each parameter is obtained by analyzing and calculating the trend according to the test result and standard design data. In particular implementations, the weights may be set as follows:
weight 30%,
Weight 30%,
20% by weight,
The weight is 20%.
And the noise data index NH and the leakage data index WH are obtained by analyzing and calculating the trend according to the test result and the normal operation data, and when abnormality occurs, the data are directly substituted into the water pump health index for calculation.
The temperature data index TH mathematical model is as follows:
TH=
×THPD+
×THPND+
×THMD；
the three data are running health data under the temperature data index TH of the main pump respectively, and each parameter is obtained by analyzing and calculating the trend according to the test result and standard design data. In specific implementation, the weight may be set as follows:
weight of 40%,
Weight of 40%,
The weight is 20%.
The CLH mathematical model of the key component life index is as follows:
CLH=
×CLHFC+
×CLHV+
×CLHCV+
×CLHMS+
×CLHPB+
×CLHMB+
×CLHc+
×CLHPA+
×CLHMA；
the system comprises a main pump, a CLHFC, a CLHV, an inlet and outlet valve, a CLHCV check valve, a CLHMS, a mechanical seal, a CLHPB, a CLHMB, a motor bearing, a CLHc, a shaft coupling, a CLHPA and a motor shaft, wherein the CLHFC represents soft connection, the CLHV represents an inlet and outlet valve, the CLHCV represents a check valve, the CLHMS represents a mechanical seal, the CLHPB represents a pump bearing, the CLHMB represents a motor bearing, the CLHc represents a shaft coupling, the CLHPA represents a pump. In particular implementations, the weights may be set as follows:
weight of 5%,
Weight of 5%,
Weight of 5%,
Weight 25%,
20% by weight,
20% by weight,
Weight 10%,
Weight of 5%,
The weight is 5%.
The system can realize that the monitoring, diagnosing and analyzing method adopts various means such as electricity, sound, heat, vibration and the like to comprehensively monitor and evaluate the health state of the water pump. The data of the health monitoring and diagnosing method is calculated and analyzed according to the preset limit value, historical trend analysis is carried out, and real-time monitoring data and trend data of the same period in the past are compared and analyzed so as to calculate the health state of the water pump in the analysis period. The typical fault diagnosis is used for analyzing the typical fault frequency spectrum which is frequently generated in the circulating water cooling system of the water pump and the actual operation frequency spectrum of the water pump according to basic data to quickly obtain fault location and fault severity judgment. The design life cycle of the key parts is corrected according to the failure monitoring result. According to the common failure reasons of the water pump structure and the application site, different weight coefficients are configured for the five types of fault data, and the operation health evaluation result of the water pump is obtained through a reliability algorithm for decision-making of operation and maintenance personnel.
The above detailed description is specific to possible embodiments of the present invention, and the above embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or modifications that do not depart from the scope of the present invention should be included in the present claims.
Claims (10)
1. A water pump health monitoring and diagnosing method for a circulating water cooling system is characterized by comprising the following steps:
pre-storing data information of the water pump in a normal running state;
acquiring five types of data information of the real-time operation of the water pump;
analyzing the five types of data information respectively, and comparing the five types of data information with the data information in a normal operation state to generate a comparison result;
analyzing the health indexes of the five types of data through different weights to generate health index analysis results;
and monitoring and diagnosing the faults of the water pump through the comparison result and the health index analysis result.
2. The water pump health monitoring and diagnosing method for the circulating water cooling system as recited in claim 1, wherein the five types of data are respectively: the data comprise first-class electric energy and hydraulic data, second-class vibration data, third-class leakage data, fourth-class noise data and fifth-class temperature data.
3. The method for monitoring and diagnosing the health of the water pump of the circulating water cooling system as claimed in claim 2, wherein when the real-time operation state information is a type of electric energy and hydraulic data, the method comprises the following steps:
acquiring first-class electric energy and hydraulic data of the water pump in the current operation period, wherein the first-class electric energy and hydraulic data comprise data of inlet and outlet pressure, flow, current, voltage, water temperature and the like of the water pump;
calculating the operation working point, efficiency and electric power redundancy coefficient of the water pump according to the type of electric energy and hydraulic data in the current operation period as data information in the current operation period;
establishing a plurality of historical data according to a time axis, wherein the abscissa of the time axis is time, and the ordinate of the time axis is a water pump operation working point, efficiency and redundancy coefficient which are respectively stored in a database;
respectively storing the working point of the water pump, the efficiency and the limit values corresponding to the power redundancy coefficient of the motor in a database;
calling a working point, efficiency, a motor power redundancy coefficient and a limit value in the same operation period in a database to compare with data information in the current operation period;
and if the change trend of the data information and the data value in the current operation period exceed the allowable range, sending an alarm prompt.
4. The method for monitoring and diagnosing the health of the water pump for the circulating water cooling system as claimed in claim 2, wherein when the real-time operation state information is the second type vibration data, the method comprises the following steps:
acquiring real-time vibration measurement data, and filtering the vibration measurement data;
obtaining second-class vibration data through the filtered vibration measurement data, wherein the second-class vibration data comprise vibration speed, vibration speed frequency spectrum, time domain waveform and acceleration envelope spectrum information;
respectively generating a trend graph and a 3D waterfall graph for the second-class vibration data, and storing the trend graph and the 3D waterfall graph in a database as real-time data information;
acquiring vibration speed, vibration speed frequency spectrum, time domain waveform and acceleration envelope spectrum information under the normal operation of the water pump, and constructing a trend graph and a 3D waterfall graph to be stored in a database;
obtaining a motor vibration speed design value and storing the motor vibration speed design value in a database;
acquiring bearing parameters matched with a water pump and a motor, calculating fault frequency of each part of a bearing and storing the fault frequency in data;
calling a trend graph and a design value in a database to be compared with real-time data information;
if the real-time data information exceeds the allowable range, alarm information is sent out, and the vibration speed, the vibration speed frequency spectrum, the time domain waveform and the acceleration envelope spectrum information of the water pump at the moment are taken for fault diagnosis.
5. The water pump health monitoring and diagnosing method for the circulating water cooling system as recited in claim 4, wherein the fault diagnosis includes fault types of mechanical fault and bearing fault;
the analysis method of the mechanical fault comprises the following steps: storing the common fault vibration frequency spectrum in a database; and comparing the obtained vibration speed frequency spectrum and time domain waveform of the water pump and the motor with the vibration speed frequency spectrum and time domain waveform in normal operation, comparing the obtained vibration speed frequency spectrum and time domain waveform with a mechanical fault curved frequency spectrum, and analyzing and judging the fault occurrence position and the fault severity.
6. The method for monitoring and diagnosing the health of the water pump for the circulating water cooling system as claimed in claim 5, wherein the method for analyzing the fault of the bearing comprises the following steps: storing the acceleration envelope spectrum and the bearing calculation defect frequency in normal operation in a database; acquiring an acceleration envelope spectrum in running, comparing the acceleration envelope spectrum with an acceleration envelope spectrum and bearing calculation defect frequency in normal running in a database, and analyzing and judging the fault severity of each component of the bearing;
wherein the bearing failure comprises: the fault frequency of the retainer, the rotation fault frequency of the rolling body, the fault frequency of an outer ring and the fault frequency of an inner ring;
the calculation method of the fault frequency of the retainer comprises the following steps:
；
the method for calculating the rotating fault frequency of the rolling body comprises the following steps:
；
the method for calculating the outer ring fault frequency comprises the following steps:
；
the inner ring fault frequency calculation method comprises the following steps:
；
wherein D is the diameter of the rolling body, D is the diameter of the bearing pitch circle,
as the contact angle, n is the number of rolling elements, No is the rotational speed of the outer ring of the bearing, and Ni is the rotational speed of the inner ring of the bearing.
7. The water pump health monitoring and diagnosing method for the circulating water cooling system as claimed in claim 2, wherein when the real-time operation state information is three types of leakage data:
establishing liquid level change relation data along a time axis according to the collected liquid and storing the data in a database;
and when the level value and the trend change of the collected liquid exceed the preset allowable range in the database, giving an alarm for prompting.
8. The water pump health monitoring and diagnosing method for a circulating water cooling system as claimed in claim 2, wherein when the real-time operation state information is four types of noise data:
when the anhydrous pump runs, acquiring a noise background frequency spectrum;
calculating the characteristic frequency of the background noise according to the noise background frequency spectrum, and storing the characteristic frequency in a database;
acquiring noise characteristic frequency of a water pump in normal operation and storing the noise characteristic frequency in a database;
acquiring noise data when the water pump operates;
calculating noise characteristic frequency according to the noise data;
comparing the noise characteristic frequency with the background noise characteristic frequency and the noise characteristic frequency in normal operation; and obtaining a noise change rule, and comprehensively judging the fault information of the water pump together with the second-class vibration data.
9. The water pump health monitoring and diagnosing method for the circulating water cooling system as claimed in claim 2, wherein when the real-time operation state information is five types of temperature data:
acquiring temperature data of a water pump in operation;
acquiring temperature curves and temperature images of the water pump and the motor according to the temperature data to serve as real-time temperature data;
storing the design limit values of the operating temperatures of the water pump and the motor in a database;
storing historical temperature curves and temperature imaging data of the water pump and the motor in a database;
comparing the real-time temperature data with a temperature design value, temperature curves and temperature images of a historical water pump and a historical motor;
and if the change trend of the real-time temperature data and the data value exceed the allowable range, sending an alarm prompt.
10. The water pump health monitoring and diagnosing method for a circulating water cooling system as claimed in claim 2, wherein the water pump health index is h (i):
H(i)＝
×EQH+
×VH+
×NH+
×WH+
×TH+
×CLH；
wherein EQH is the electric energy and hydraulic index, VH is the vibration data index, NH is the noise data index, WH is the leakage data index, TH is the temperature data index, CLH is the key component life index,
are weights.
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