CN118088431A - Explosion-proof submersible sand-discharging electric pump fault monitoring system and method for mine - Google Patents
Explosion-proof submersible sand-discharging electric pump fault monitoring system and method for mine Download PDFInfo
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Abstract
The invention relates to the technical field of electric pump operation monitoring, and particularly discloses a fault monitoring system and method for a mining explosion-proof submersible sand-discharging electric pump. The power supply state coefficient is compared with the set power supply state coefficient threshold value, so that the response timeliness of the fault early warning of the electric pump in the operation process is improved to a great extent, the power supply fault in the operation process of the electric pump and the fault of the electric pump are automatically distinguished, the maintenance efficiency of maintenance personnel on the fault of the electric pump is improved, the maintenance cost is reduced, the stability evaluation coefficient is compared with the set stability evaluation coefficient threshold value, the timeliness of the fault early warning of the electric pump in the operation process is greatly improved, and the reduction of the service life of the electric pump caused by the internal abrasion fault of the electric pump and the damage of an electric pump shaft is effectively avoided.
Description
Technical Field
The invention relates to the technical field of electric pump operation monitoring, in particular to a fault monitoring system and method for a mining explosion-proof submersible sand-discharging electric pump.
Background
The explosion-proof submersible sand-discharging electric pump for mine is a water pump device specially used for sand-discharging operation in mine environment, has the characteristics of explosion-proof, diving, sand-discharging, high efficiency, energy saving and the like, can safely and efficiently perform sand-discharging operation in dangerous environment, and ensures normal operation of mine.
At present, the operation state of the mine explosion-proof submersible sand-discharging electric pump is monitored usually by manual maintenance at regular intervals, the degree of automation and intelligence is not high, subjectivity exists due to manual maintenance, and higher requirements are provided for professional literacy of maintenance staff.
Therefore, we propose a fault monitoring system for a mine explosion-proof submersible sand discharge electric pump.
Disclosure of Invention
Aiming at the situation, the invention provides a fault monitoring system and method for a mine explosion-proof submersible sand discharge electric pump, which aims to overcome the defects of the prior art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the fault monitoring system comprises a power supply state monitoring and analyzing module, a stability monitoring and analyzing module, a fluxgate monitoring and analyzing module, an electric pump fault early-warning analyzing module, a fault early-warning terminal and a database, wherein the database is respectively connected with the power supply state monitoring and analyzing module, the stability monitoring and analyzing module and the fluxgate monitoring and analyzing module, and the power supply state monitoring and analyzing module, the stability monitoring and analyzing module and the fluxgate monitoring and analyzing module are all connected with the electric pump fault early-warning analyzing module which is connected with the fault early-warning terminal;
The power supply state monitoring and analyzing module is used for monitoring the power supply state of each electric pump corresponding to each monitoring time point;
the stability monitoring and analyzing module is used for monitoring and analyzing the stability of the electric pump corresponding to the current monitoring time point;
The fluxion monitoring and analyzing module is used for monitoring and analyzing fluxion of each electric pump corresponding to the current monitoring time point;
the electric pump fault early-warning analysis module is used for analyzing fault early-warning parameters of the electric pumps corresponding to the current monitoring time points;
the fault early warning terminal is used for carrying out corresponding early warning operation based on the fault early warning parameters of the electric pumps corresponding to the current monitoring time point;
and the database is used for storing parameter data of the reference frequency value, the allowable frequency difference, the reference phase value, the allowable phase difference, the reference vibration value, the allowable vibration difference, the reference temperature value, the allowable temperature difference, the reference liquid level value, the allowable flow rate difference and the allowable pressure difference of each electric pump corresponding to each monitoring time point.
Further, the power supply state of each electric pump corresponding to each monitoring time point is monitored, and the specific monitoring method is as follows:
Acquiring frequency values of the electric pumps corresponding to the current monitoring time points, acquiring reference frequency values of the electric pumps corresponding to the monitoring time points from a database, acquiring allowable frequency differences of the electric pumps corresponding to the monitoring time points from the database, and comprehensively analyzing and calculating the frequency stability of the electric pumps corresponding to the current monitoring time points ；
Acquiring the phase value of each electric pump corresponding to the current monitoring time point, acquiring the reference phase value of each electric pump corresponding to each monitoring time point from a database, simultaneously acquiring the allowable phase difference of each electric pump corresponding to each monitoring time point from the database, and analyzing and calculating the phase offset of each electric pump corresponding to the current monitoring time point；
According to the formulaCalculating the power supply state coefficient/>, corresponding to the current monitoring time point, of each electric pumpE is represented as a natural constant, and e is greater than 1, and a1 and a2 are respectively represented as set coefficient factors.
Further, the monitoring analysis is performed on the stability of each electric pump corresponding to the current monitoring time point, and the specific monitoring analysis mode is as follows:
Obtaining vibration values of the bearings of the electric pumps corresponding to the current monitoring time points, namely ZD i j, obtaining reference vibration values of the bearings of the electric pumps corresponding to the current monitoring time points from a database, and namely Meanwhile, the allowable vibration difference of the bearings corresponding to the current monitoring time point of each electric pump is obtained from a database and is recorded as/>；
Acquiring the noise value of each electric pump corresponding to the current monitoring time point, marking as ZY i j, acquiring the reference noise value of each electric pump corresponding to the current monitoring time point from a database, marking asMeanwhile, the allowable noise difference of each electric pump corresponding to the current monitoring time point is obtained from a database and is recorded as/>；
Obtaining the temperature value of the bearing corresponding to the current monitoring time point of each electric pump, which is recorded as WD i j, and obtaining the reference temperature value of the bearing corresponding to the current monitoring time point of each electric pump from a database, which is recorded asSimultaneously, the allowable temperature difference of the bearings corresponding to the current monitoring time point of each electric pump is obtained from a database and is recorded as/>；
According to the formulaAnd calculating stability evaluation coefficients WZ, b1, b2 and b3 of each electric pump corresponding to the current monitoring time point, wherein the stability evaluation coefficients WZ, b1, b2 and b3 are respectively expressed as set coefficient factors.
Further, the monitoring and analyzing the flow of each electric pump corresponding to the current monitoring time point comprises the following specific monitoring and analyzing processes:
Acquiring the liquid level value of each electric pump corresponding to the current monitoring time point, which is marked as YW i j, and acquiring the reference liquid level value of each electric pump corresponding to the current monitoring time point from a database, which is marked as Acquiring flow values of the electric pumps corresponding to the current monitoring time point, namely LL i j, and acquiring inlet pressure and outlet pressure of the electric pumps corresponding to the current monitoring time point, namely RY i j and CY i j respectively;
According to the formula Calculating the flow-through evaluation coefficient LT,/>, of each electric pump corresponding to the current monitoring time pointExpressed as the allowable flow difference of each electric pump corresponding to the current monitoring time point,/>The allowable pressure difference of each electric pump corresponding to the current monitoring time point is expressed, and c1, c2 and c3 are respectively expressed as set coefficient factors.
Further, the fault early-warning parameters of each electric pump corresponding to the current monitoring time point are analyzed in the following specific analysis mode:
If the power supply state coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set power supply state coefficient threshold value, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump power supply state fault early-warning;
if the stability evaluation coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set stability evaluation coefficient threshold value, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump stability fault early-warning;
If the flow-through evaluation coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set flow-through evaluation coefficient threshold value, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump flow-through fault early-warning;
and the fault early-warning parameters of the electric pumps corresponding to the current monitoring time point are obtained through statistics.
A fault monitoring method for a mining field explosion-proof submersible sand discharge electric pump comprises the following steps:
Monitoring the power supply state of each electric pump corresponding to each monitoring time point by using a power supply state monitoring analysis module, calculating the frequency stability of each electric pump corresponding to the current monitoring time point through the frequency value, the reference frequency value and the allowable frequency difference of each electric pump in a combined way, and calculating the phase offset of each electric pump corresponding to the current monitoring time point through the phase value, the reference phase value and the allowable phase difference of each electric pump in the combined way;
The frequency stability and the phase offset of each electric pump corresponding to the current monitoring time point are comprehensively analyzed, so that the power supply state coefficient of each electric pump corresponding to the current monitoring time point is calculated, and the power supply state coefficient is compared with a set power supply state coefficient threshold;
Monitoring and analyzing the stability of the electric pumps corresponding to the current monitoring time point by utilizing a stability monitoring and analyzing module, comprehensively analyzing the operation noise value, the reference noise value and the allowable noise value of the electric pumps corresponding to the current monitoring time point by using the vibration value, the reference vibration value, the allowable vibration difference, the temperature value, the reference temperature value and the allowable temperature difference of the bearing of the electric pumps corresponding to the current monitoring time point, analyzing and calculating the stability evaluation coefficient of the electric pumps corresponding to the current monitoring time point, and comparing the stability evaluation coefficient with a set stability evaluation coefficient threshold;
Monitoring and analyzing the fluxion of each electric pump corresponding to the current monitoring time point by utilizing a fluxion monitoring and analyzing module, and comparing the fluxion evaluation coefficient of each electric pump corresponding to the current monitoring time point with a set fluxion evaluation coefficient threshold value through the liquid level value of each electric pump corresponding to the current monitoring time point, the reference liquid level value, the flow value of each electric pump corresponding to the current monitoring time point, and the inlet pressure and the outlet pressure of each electric pump corresponding to the current monitoring time point, thereby comprehensively analyzing and calculating the fluxion evaluation coefficient of the electric pump corresponding to the current monitoring time point;
Analyzing fault early-warning parameters of each electric pump corresponding to a current monitoring time point through an electric pump fault early-warning analysis module, judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump power supply state fault early-warning if the power supply state coefficient of the electric pump corresponding to the current monitoring time point is larger than a set power supply state coefficient threshold value, judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump stability fault early-warning if the stability evaluation coefficient of the electric pump corresponding to the current monitoring time point is larger than a set stability evaluation coefficient threshold value, and judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump fluxAN_SNy fault early-warning if the fluxAN_SNy evaluation coefficient of the electric pump corresponding to the current monitoring time point is larger than a set fluxAN_SNy coefficient threshold value;
and finally, performing corresponding early warning operation based on the fault early warning parameters of the electric pumps corresponding to the current monitoring time point through the fault early warning terminal.
The invention has the beneficial effects that:
1. According to the invention, the frequency stability and the phase offset of each electric pump corresponding to the current monitoring time point are analyzed, the power supply state coefficient of each electric pump corresponding to the current monitoring time point is obtained through the analysis, the power supply state coefficient is compared with the set power supply state coefficient threshold, and if the power supply state coefficient is larger than the power supply state coefficient threshold, corresponding early warning operation is executed, so that the response timeliness of fault early warning of the electric pump in the operation process is improved to a great extent, the power supply fault of the electric pump in the operation process and the fault of the electric pump are automatically distinguished, the maintenance efficiency of maintenance personnel on the electric pump fault is improved, and the maintenance cost is reduced.
2. According to the invention, the stability evaluation coefficient of each electric pump corresponding to the current monitoring time point is comprehensively calculated and analyzed by analyzing the stable state of each electric pump corresponding to the current monitoring time point and acquiring the bearing vibration value, the temperature value and the temperature value in the operation process of each electric pump corresponding to the current monitoring time point, and by comparing the stability evaluation coefficient with the set stability evaluation coefficient threshold value, if the stability evaluation coefficient is larger than the stability evaluation coefficient threshold value, corresponding early warning operation is carried out, thereby greatly improving the timeliness of fault early warning of the electric pump in the operation process, and effectively avoiding the reduction of the service life of the electric pump caused by the internal abrasion fault of the electric pump and the damage of the electric pump shaft.
3. According to the invention, the liquid level value, the flow value, the inlet pressure and the outlet pressure of each electric pump corresponding to the current monitoring time point are monitored and analyzed, so that the flow evaluation coefficient of each electric pump corresponding to the current monitoring time point is obtained, and is compared with the set flow evaluation coefficient threshold value, if the flow evaluation coefficient is larger than the flow evaluation coefficient threshold value, corresponding early warning operation is executed, and comprehensive analysis is carried out according to the liquid level state of each electric pump corresponding to the current monitoring time point, the flow value, the inlet pressure and the outlet pressure, so that the fault response speed of the flow state of the electric pump in the operation process is greatly improved, the reliability and the stability of the electric pump are further improved, and meanwhile, the electric pump maintenance processing can be carried out timely according to fault signals.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a fault monitoring system and method for a mine explosion-proof submersible sand discharge electric pump according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, a fault monitoring system for a mine explosion-proof submersible sand discharge electric pump includes: the system comprises a power supply state monitoring and analyzing module, a stability monitoring and analyzing module, a fluxion monitoring and analyzing module, an electric pump fault early-warning analyzing module, a fault early-warning terminal and a database.
The database is respectively connected with the power supply state monitoring and analyzing module, the stability monitoring and analyzing module and the fluxgate monitoring and analyzing module, and the power supply state monitoring and analyzing module, the stability monitoring and analyzing module and the fluxgate monitoring and analyzing module are all connected with the electric pump fault early-warning analyzing module which is connected with the fault early-warning terminal.
The power supply state monitoring and analyzing module is used for monitoring the power supply state of each electric pump corresponding to each monitoring time point, and the specific monitoring method is as follows:
The frequency meter in the frequency range of each electric pump is selected to be installed on the corresponding power input end circuit of each water pump, each electric pump is started to operate, the frequency value displayed on the frequency meter corresponding to the current monitoring time point of each electric pump is read, the frequency value is recorded as PL i j, i is represented as the number of each electric pump, i=1, 2.
Obtaining the reference frequency value of each electric pump corresponding to each monitoring time point from the database, and marking asSimultaneously, the allowable frequency difference of each electric pump corresponding to each monitoring time point is obtained from a database and is recorded as/>。
According to the formulaCalculating the frequency stability/>, corresponding to the current monitoring time point, of each electric pump，/>The frequency value of each electric pump corresponding to the j-1 monitoring time point is expressed, and alpha 1 and alpha 2 are respectively expressed as set weight factors.
Through connecting the input of phase detector with the power supply line of each charge pump, according to the specification model of each charge pump, select corresponding measurement mode, measuring range, reference signal and the sampling rate of phase detector, start each charge pump and operate, read the phase value that shows on each charge pump corresponds current monitoring time point phase detector, record as XW i j.
Acquiring reference phase values of each electric pump corresponding to each monitoring time point from a database, and recording the reference phase values asSimultaneously, the allowable phase difference of each electric pump corresponding to each monitoring time point is obtained from a database and is recorded as/>。
According to the formulaCalculating the phase deviation degree/>, corresponding to the current monitoring time point, of each electric pump，/>The phase value of each electric pump corresponding to the j-1 monitoring time point is expressed, and alpha 3 is expressed as a set weight factor.
According to the formulaCalculating the power supply state coefficient/>, corresponding to the current monitoring time point, of each electric pumpE is represented as a natural constant, and e is greater than 1, and a1 and a2 are respectively represented as set coefficient factors.
In a specific embodiment, the frequency stability and the phase deviation degree of each electric pump corresponding to the current monitoring time point are analyzed, the power supply state coefficient of each electric pump corresponding to the current monitoring time point is obtained through analysis, the power supply state coefficient is compared with the set power supply state coefficient threshold value, and if the power supply state coefficient is larger than the power supply state coefficient threshold value, corresponding early warning operation is executed, so that the response timeliness of fault early warning of the electric pump in the operation process is improved to a great extent, the power supply fault of the electric pump in the operation process and the fault of the electric pump are automatically distinguished, the maintenance efficiency of maintenance personnel on the electric pump fault is improved, and the maintenance cost is reduced.
The stability monitoring and analyzing module is used for monitoring and analyzing the stability of the electric pump corresponding to the current monitoring time point, and the specific monitoring and analyzing mode is as follows:
Vibration data of the bearings corresponding to the current monitoring time points of the electric pumps are obtained through the vibration sensors, vibration values of the bearings corresponding to the current monitoring time points of the electric pumps are obtained, and are recorded as ZD i j, reference vibration values of the bearings corresponding to the current monitoring time points of the electric pumps are obtained from a database, and are recorded as Meanwhile, the allowable vibration difference of the bearings corresponding to the current monitoring time point of each electric pump is obtained from a database and is recorded as/>。
Acquiring noise data of each electric pump corresponding to the current monitoring time point through a sound sensor to obtain a noise value of each electric pump corresponding to the current monitoring time point, marking as ZY i j, acquiring a reference noise value of each electric pump corresponding to the current monitoring time point from a database, marking asSimultaneously, the allowable noise difference of each electric pump corresponding to the current monitoring time point is obtained from a database and recorded as。
Acquiring temperature data of the bearings corresponding to the current monitoring time points of the electric pumps through the temperature sensors to obtain temperature values of the bearings corresponding to the current monitoring time points of the electric pumps, marking the temperature values as WD i j, acquiring reference temperature values of the bearings corresponding to the current monitoring time points of the electric pumps from a database, marking the reference temperature values asSimultaneously, the allowable temperature difference of the bearings corresponding to the current monitoring time point of each electric pump is obtained from a database and is recorded as/>。
According to the formulaAnd calculating stability evaluation coefficients WZ, b1, b2 and b3 of each electric pump corresponding to the current monitoring time point, wherein the stability evaluation coefficients WZ, b1, b2 and b3 are respectively expressed as set coefficient factors.
In a specific embodiment, the stability evaluation coefficient of each electric pump corresponding to the current monitoring time point is comprehensively calculated and analyzed by analyzing the stable state of each electric pump corresponding to the current monitoring time point and acquiring the bearing vibration value, the temperature value and the temperature value in the operation process of each electric pump corresponding to the current monitoring time point, and if the stability evaluation coefficient is larger than the stability evaluation coefficient threshold value, corresponding early warning operation is carried out, so that the timeliness of fault early warning of the electric pump in the operation process is greatly improved, and the service life reduction of the electric pump caused by internal abrasion faults of the electric pump and the damage of an electric pump shaft is effectively avoided.
The flow monitoring and analyzing module is used for monitoring and analyzing the flow of each electric pump corresponding to the current monitoring time point, and the specific monitoring and analyzing process is as follows:
The liquid level of each electric pump corresponding to the current monitoring time point is obtained through data acquisition of the liquid level sensor, the liquid level value of each electric pump corresponding to the current monitoring time point is recorded as YW i j, the reference liquid level value of each electric pump corresponding to the current monitoring time point is obtained from the database and recorded as 。
The flow of each electric pump corresponding to the current monitoring time point is obtained through data acquisition of a flow sensor, a flow value of each electric pump corresponding to the current monitoring time point is recorded as LL i j, and the inlet pressure and the outlet pressure of each electric pump corresponding to the current monitoring time point are obtained through data acquisition of a pressure sensor, and the inlet pressure and the outlet pressure of each electric pump corresponding to the current monitoring time point are respectively recorded as RY i j and CY i j.
According to the formulaCalculating the flow-through evaluation coefficient LT,/>, of each electric pump corresponding to the current monitoring time pointExpressed as the allowable flow difference of each electric pump corresponding to the current monitoring time point,/>The allowable pressure difference of each electric pump corresponding to the current monitoring time point is expressed, and c1, c2 and c3 are respectively expressed as set coefficient factors.
In a specific embodiment, the liquid level value, the flow value, the inlet pressure and the outlet pressure of each electric pump corresponding to the current monitoring time point are monitored and analyzed, so that the flow evaluation coefficient of each electric pump corresponding to the current monitoring time point is obtained, the flow evaluation coefficient is compared with the set flow evaluation coefficient threshold, if the flow evaluation coefficient is larger than the flow evaluation coefficient threshold, corresponding early warning operation is executed, and the flow value, the inlet pressure and the outlet pressure are comprehensively analyzed according to the liquid level state of each electric pump corresponding to the current monitoring time point, so that the fault response speed of the flow state of the electric pump in the operation process is greatly improved, the reliability and the stability of the electric pump are further improved, and meanwhile, the electric pump maintenance processing can be timely carried out according to fault signals.
The electric pump fault early warning analysis module is used for analyzing fault early warning parameters of each electric pump corresponding to the current monitoring time point, and the specific analysis mode is as follows:
comparing the power supply state coefficient of each electric pump corresponding to the current monitoring time point with the set power supply state coefficient threshold value of each electric pump corresponding to the current monitoring time point, and if the power supply state coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set power supply state coefficient threshold value, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump power supply state fault early-warning.
Comparing the stability evaluation coefficient of each electric pump corresponding to the current monitoring time point with the set stability evaluation coefficient threshold of each electric pump corresponding to the current monitoring time point, and if the stability evaluation coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set stability evaluation coefficient threshold, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump stability fault early-warning.
And comparing the flow evaluation coefficient of each electric pump corresponding to the current monitoring time point with a set flow evaluation coefficient threshold of each electric pump corresponding to the current monitoring time point, and if the flow evaluation coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set flow evaluation coefficient threshold, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump flow fault early-warning.
And the fault early-warning parameters of the electric pumps corresponding to the current monitoring time point are obtained through statistics.
And the fault early warning terminal is used for carrying out corresponding early warning operation based on the fault early warning parameters of the electric pumps corresponding to the current monitoring time point.
Specifically, when the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is the electric pump power supply state fault early-warning, a fault early-warning signal of the electric pump power supply state fault is sent out through a fault early-warning terminal, and an overhauling personnel is informed of overhauling the electric pump power supply state fault.
When the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump stability fault early-warning, an electric pump stability fault early-warning signal is sent out through a fault early-warning terminal, and an overhauling personnel is informed of overhauling the stability fault of the electric pump.
When the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump fluxgate fault early-warning, an electric pump fluxgate fault early-warning signal is sent out through a fault early-warning terminal, and an maintainer is informed of overhauling the electric pump fluxgate fault.
The database is used for storing parameter data of a reference frequency value, an allowable frequency difference, a reference phase value, an allowable phase difference, a reference vibration value, an allowable vibration difference, a reference temperature value, an allowable temperature difference, a reference liquid level value, an allowable flow difference and an allowable pressure difference of each electric pump corresponding to each monitoring time point, wherein the parameter data are set by manually and in advance according to the simulation running state of each electric pump.
Example 2: specifically, the embodiment discloses a fault monitoring method for a mine explosion-proof submersible sand-discharging electric pump, which comprises the following steps:
Monitoring the power supply state of each electric pump corresponding to each monitoring time point by using a power supply state monitoring analysis module, calculating the frequency stability of each electric pump corresponding to the current monitoring time point through the frequency value, the reference frequency value and the allowable frequency difference of each electric pump in a combined way, and calculating the phase offset of each electric pump corresponding to the current monitoring time point through the phase value, the reference phase value and the allowable phase difference of each electric pump in the combined way;
The frequency stability and the phase offset of each electric pump corresponding to the current monitoring time point are comprehensively analyzed, so that the power supply state coefficient of each electric pump corresponding to the current monitoring time point is calculated, and the power supply state coefficient is compared with a set power supply state coefficient threshold;
Monitoring and analyzing the stability of the electric pumps corresponding to the current monitoring time point by utilizing a stability monitoring and analyzing module, comprehensively analyzing the operation noise value, the reference noise value and the allowable noise value of the electric pumps corresponding to the current monitoring time point by using the vibration value, the reference vibration value, the allowable vibration difference, the temperature value, the reference temperature value and the allowable temperature difference of the bearing of the electric pumps corresponding to the current monitoring time point, analyzing and calculating the stability evaluation coefficient of the electric pumps corresponding to the current monitoring time point, and comparing the stability evaluation coefficient with a set stability evaluation coefficient threshold;
Monitoring and analyzing the fluxion of each electric pump corresponding to the current monitoring time point by utilizing a fluxion monitoring and analyzing module, and comparing the fluxion evaluation coefficient of each electric pump corresponding to the current monitoring time point with a set fluxion evaluation coefficient threshold value through the liquid level value of each electric pump corresponding to the current monitoring time point, the reference liquid level value, the flow value of each electric pump corresponding to the current monitoring time point, and the inlet pressure and the outlet pressure of each electric pump corresponding to the current monitoring time point, thereby comprehensively analyzing and calculating the fluxion evaluation coefficient of the electric pump corresponding to the current monitoring time point;
Analyzing fault early-warning parameters of each electric pump corresponding to a current monitoring time point through an electric pump fault early-warning analysis module, judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump power supply state fault early-warning if the power supply state coefficient of the electric pump corresponding to the current monitoring time point is larger than a set power supply state coefficient threshold value, judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump stability fault early-warning if the stability evaluation coefficient of the electric pump corresponding to the current monitoring time point is larger than a set stability evaluation coefficient threshold value, and judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump fluxAN_SNy fault early-warning if the fluxAN_SNy evaluation coefficient of the electric pump corresponding to the current monitoring time point is larger than a set fluxAN_SNy coefficient threshold value;
and finally, performing corresponding early warning operation based on the fault early warning parameters of the electric pumps corresponding to the current monitoring time point through the fault early warning terminal.
The above formulas are all formulas for removing dimensions and taking numerical calculation, the formulas are formulas for obtaining the latest real situation by collecting a large amount of data and performing software simulation, the size of the coefficient is a specific numerical value obtained by quantizing each parameter, and the ratio relation between the parameter and the quantized numerical value is not influenced.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The utility model provides a be used for mining site flameproof type dive sediment outflow charge pump fault monitoring system, includes power supply state monitoring analysis module, stability monitoring analysis module, fluxgate monitoring analysis module, charge pump fault early warning analysis module, fault early warning terminal and database, its characterized in that: the database is respectively connected with the power supply state monitoring and analyzing module, the stability monitoring and analyzing module and the fluxgate monitoring and analyzing module, the power supply state monitoring and analyzing module, the stability monitoring and analyzing module and the fluxgate monitoring and analyzing module are all connected with the electric pump fault early-warning analyzing module, and the electric pump fault early-warning analyzing module is connected with the fault early-warning terminal;
The power supply state monitoring and analyzing module is used for monitoring the power supply state of each electric pump corresponding to each monitoring time point;
the stability monitoring and analyzing module is used for monitoring and analyzing the stability of the electric pump corresponding to the current monitoring time point;
The fluxion monitoring and analyzing module is used for monitoring and analyzing fluxion of each electric pump corresponding to the current monitoring time point;
the electric pump fault early-warning analysis module is used for analyzing fault early-warning parameters of the electric pumps corresponding to the current monitoring time points;
the fault early warning terminal is used for carrying out corresponding early warning operation based on the fault early warning parameters of the electric pumps corresponding to the current monitoring time point;
and the database is used for storing parameter data of the reference frequency value, the allowable frequency difference, the reference phase value, the allowable phase difference, the reference vibration value, the allowable vibration difference, the reference temperature value, the allowable temperature difference, the reference liquid level value, the allowable flow rate difference and the allowable pressure difference of each electric pump corresponding to each monitoring time point.
2. The fault monitoring system for a mine explosion suppression submersible sand removal electric pump of claim 1, wherein: the specific monitoring method for the power supply state of each electric pump corresponding to each monitoring time point comprises the following steps:
Acquiring frequency values of the electric pumps corresponding to the current monitoring time points, acquiring reference frequency values of the electric pumps corresponding to the monitoring time points from a database, acquiring allowable frequency differences of the electric pumps corresponding to the monitoring time points from the database, and comprehensively analyzing and calculating the frequency stability of the electric pumps corresponding to the current monitoring time points ；
Acquiring the phase value of each electric pump corresponding to the current monitoring time point, acquiring the reference phase value of each electric pump corresponding to each monitoring time point from a database, simultaneously acquiring the allowable phase difference of each electric pump corresponding to each monitoring time point from the database, and analyzing and calculating the phase offset of each electric pump corresponding to the current monitoring time point；
According to the formulaCalculating the power supply state coefficient/>, corresponding to the current monitoring time point, of each electric pumpE is represented as a natural constant, and e is greater than 1, and a1 and a2 are respectively represented as set coefficient factors.
3. A fault monitoring system for a mine flameproof submersible sand removal electric pump as claimed in claim 2, wherein: the monitoring analysis is carried out on the stability of the electric pump corresponding to the current monitoring time point of each electric pump, and the specific monitoring analysis mode is as follows:
Obtaining vibration values of the bearings of the electric pumps corresponding to the current monitoring time points, namely ZD i j, obtaining reference vibration values of the bearings of the electric pumps corresponding to the current monitoring time points from a database, and namely Meanwhile, the allowable vibration difference of the bearings corresponding to the current monitoring time point of each electric pump is obtained from a database and is recorded as/>；
Acquiring the noise value of each electric pump corresponding to the current monitoring time point, marking as ZY i j, acquiring the reference noise value of each electric pump corresponding to the current monitoring time point from a database, marking asMeanwhile, the allowable noise difference of each electric pump corresponding to the current monitoring time point is obtained from a database and is recorded as/>；
Obtaining the temperature value of the bearing corresponding to the current monitoring time point of each electric pump, which is recorded as WD i j, and obtaining the reference temperature value of the bearing corresponding to the current monitoring time point of each electric pump from a database, which is recorded asSimultaneously, the allowable temperature difference of the bearings corresponding to the current monitoring time point of each electric pump is obtained from a database and is recorded as/>；
According to the formulaAnd calculating stability evaluation coefficients WZ, b1, b2 and b3 of each electric pump corresponding to the current monitoring time point, wherein the stability evaluation coefficients WZ, b1, b2 and b3 are respectively expressed as set coefficient factors.
4. A fault monitoring system for a mine flameproof submersible sand removal electric pump as claimed in claim 3, wherein: the flow property of each electric pump corresponding to the current monitoring time point is monitored and analyzed, and the specific monitoring and analyzing process is as follows:
Acquiring the liquid level value of each electric pump corresponding to the current monitoring time point, which is marked as YW i j, and acquiring the reference liquid level value of each electric pump corresponding to the current monitoring time point from a database, which is marked as Acquiring flow values of the electric pumps corresponding to the current monitoring time point, namely LL i j, and acquiring inlet pressure and outlet pressure of the electric pumps corresponding to the current monitoring time point, namely RY i j and CY i j respectively;
According to the formula Calculating the flow-through evaluation coefficient LT,/>, of each electric pump corresponding to the current monitoring time pointExpressed as the allowable flow difference of each electric pump corresponding to the current monitoring time point,/>The allowable pressure difference of each electric pump corresponding to the current monitoring time point is expressed, and c1, c2 and c3 are respectively expressed as set coefficient factors.
5. The fault monitoring system for a mine explosion suppression submersible sand removal electric pump of claim 4, wherein: the specific analysis mode of the fault early-warning parameters of each electric pump corresponding to the current monitoring time point is as follows:
If the power supply state coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set power supply state coefficient threshold value, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump power supply state fault early-warning;
if the stability evaluation coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set stability evaluation coefficient threshold value, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump stability fault early-warning;
If the flow-through evaluation coefficient of a certain electric pump corresponding to the current monitoring time point is larger than the set flow-through evaluation coefficient threshold value, judging that the fault early-warning parameter of the electric pump corresponding to the current monitoring time point is electric pump flow-through fault early-warning;
and the fault early-warning parameters of the electric pumps corresponding to the current monitoring time point are obtained through statistics.
6. A fault monitoring method for a mining field explosion-proof submersible sand discharge electric pump is characterized by comprising the following steps of: the method comprises the following steps:
Monitoring the power supply state of each electric pump corresponding to each monitoring time point by using a power supply state monitoring analysis module, calculating the frequency stability of each electric pump corresponding to the current monitoring time point through the frequency value, the reference frequency value and the allowable frequency difference of each electric pump in a combined way, and calculating the phase offset of each electric pump corresponding to the current monitoring time point through the phase value, the reference phase value and the allowable phase difference of each electric pump in the combined way;
The frequency stability and the phase offset of each electric pump corresponding to the current monitoring time point are comprehensively analyzed, so that the power supply state coefficient of each electric pump corresponding to the current monitoring time point is calculated, and the power supply state coefficient is compared with a set power supply state coefficient threshold;
Monitoring and analyzing the stability of the electric pumps corresponding to the current monitoring time point by utilizing a stability monitoring and analyzing module, comprehensively analyzing the operation noise value, the reference noise value and the allowable noise value of the electric pumps corresponding to the current monitoring time point by using the vibration value, the reference vibration value, the allowable vibration difference, the temperature value, the reference temperature value and the allowable temperature difference of the bearing of the electric pumps corresponding to the current monitoring time point, analyzing and calculating the stability evaluation coefficient of the electric pumps corresponding to the current monitoring time point, and comparing the stability evaluation coefficient with a set stability evaluation coefficient threshold;
Monitoring and analyzing the fluxion of each electric pump corresponding to the current monitoring time point by utilizing a fluxion monitoring and analyzing module, and comparing the fluxion evaluation coefficient of each electric pump corresponding to the current monitoring time point with a set fluxion evaluation coefficient threshold value through the liquid level value of each electric pump corresponding to the current monitoring time point, the reference liquid level value, the flow value of each electric pump corresponding to the current monitoring time point, and the inlet pressure and the outlet pressure of each electric pump corresponding to the current monitoring time point, thereby comprehensively analyzing and calculating the fluxion evaluation coefficient of the electric pump corresponding to the current monitoring time point;
Analyzing fault early-warning parameters of each electric pump corresponding to a current monitoring time point through an electric pump fault early-warning analysis module, judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump power supply state fault early-warning if the power supply state coefficient of the electric pump corresponding to the current monitoring time point is larger than a set power supply state coefficient threshold value, judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump stability fault early-warning if the stability evaluation coefficient of the electric pump corresponding to the current monitoring time point is larger than a set stability evaluation coefficient threshold value, and judging that the fault early-warning parameters of the electric pump corresponding to the current monitoring time point are electric pump fluxAN_SNy fault early-warning if the fluxAN_SNy evaluation coefficient of the electric pump corresponding to the current monitoring time point is larger than a set fluxAN_SNy coefficient threshold value;
and finally, performing corresponding early warning operation based on the fault early warning parameters of the electric pumps corresponding to the current monitoring time point through the fault early warning terminal.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR200368408Y1 (en) * | 2004-08-16 | 2004-11-26 | 주식회사 기화정밀 | Fan motor |
| US20070252717A1 (en) * | 2006-03-23 | 2007-11-01 | Schlumberger Technology Corporation | System and Method for Real-Time Monitoring and Failure Prediction of Electrical Submersible Pumps |
| CN209892423U (en) * | 2019-04-09 | 2020-01-03 | 北京长城华瑞科技有限公司 | Full-line automatic control system for pump station |
| CN112832999A (en) * | 2021-01-08 | 2021-05-25 | 中国石油大学(北京) | Electric pump well working condition diagnosis system and method based on multi-sensor data fusion |
| CN112983843A (en) * | 2021-03-01 | 2021-06-18 | 合肥恒大江海泵业股份有限公司 | Intelligent control system and control method of submersible electric pump |
| CN115726764A (en) * | 2021-09-01 | 2023-03-03 | 中国石油化工股份有限公司 | Electric pump well fault diagnosis system and method based on fuzzy logic |
| CN116256589A (en) * | 2023-05-15 | 2023-06-13 | 南京研控科技有限公司 | Intelligent diagnosis method and device for electric pump well, storage medium and server |
| US20230407863A1 (en) * | 2022-06-21 | 2023-12-21 | Viking Pump, Inc. | Pump monitoring system and method |
| CN117570039A (en) * | 2024-01-16 | 2024-02-20 | 山东大洋矿用设备有限公司 | Mining flameproof submersible sand discharge electric pump fault monitoring system and method |
-
2024
- 2024-04-28 CN CN202410516654.3A patent/CN118088431A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR200368408Y1 (en) * | 2004-08-16 | 2004-11-26 | 주식회사 기화정밀 | Fan motor |
| US20070252717A1 (en) * | 2006-03-23 | 2007-11-01 | Schlumberger Technology Corporation | System and Method for Real-Time Monitoring and Failure Prediction of Electrical Submersible Pumps |
| CN209892423U (en) * | 2019-04-09 | 2020-01-03 | 北京长城华瑞科技有限公司 | Full-line automatic control system for pump station |
| CN112832999A (en) * | 2021-01-08 | 2021-05-25 | 中国石油大学(北京) | Electric pump well working condition diagnosis system and method based on multi-sensor data fusion |
| CN112983843A (en) * | 2021-03-01 | 2021-06-18 | 合肥恒大江海泵业股份有限公司 | Intelligent control system and control method of submersible electric pump |
| CN115726764A (en) * | 2021-09-01 | 2023-03-03 | 中国石油化工股份有限公司 | Electric pump well fault diagnosis system and method based on fuzzy logic |
| US20230407863A1 (en) * | 2022-06-21 | 2023-12-21 | Viking Pump, Inc. | Pump monitoring system and method |
| CN116256589A (en) * | 2023-05-15 | 2023-06-13 | 南京研控科技有限公司 | Intelligent diagnosis method and device for electric pump well, storage medium and server |
| CN117570039A (en) * | 2024-01-16 | 2024-02-20 | 山东大洋矿用设备有限公司 | Mining flameproof submersible sand discharge electric pump fault monitoring system and method |
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