CN113323858A - Intelligent operation diagnosis platform for flood control and drainage water pump unit - Google Patents
Intelligent operation diagnosis platform for flood control and drainage water pump unit Download PDFInfo
- Publication number
- CN113323858A CN113323858A CN202110757850.6A CN202110757850A CN113323858A CN 113323858 A CN113323858 A CN 113323858A CN 202110757850 A CN202110757850 A CN 202110757850A CN 113323858 A CN113323858 A CN 113323858A
- Authority
- CN
- China
- Prior art keywords
- water pump
- unit
- pump unit
- value
- emission
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- 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
-
- 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
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/10—Other safety measures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The invention discloses an intelligent operation diagnosis platform for a flood control and drainage water pump unit, which solves the technical problem that whether a water pump operates cannot be judged according to historical data analysis in the prior art, judges whether the operating power of the water pump is qualified or not according to the historical operating power, predicts the operation of the water pump, improves the operating efficiency and stability of the water pump unit, effectively prevents faults or insufficient power in the operating process of the water pump unit, prevents the phenomenon of unstable operating power value to cause poor water pump drainage effect, and simultaneously reduces the service life of the water pump due to untimely maintenance; the operation quality of each subarea of the water pump unit is reflected through the detection of the series water pumps, and the detection accuracy of the operation of the water pumps is improved by refining the subareas; and the whole operation condition of the water pump unit is detected and judged through the parallel water pumps, so that the water pumps in all sub-areas are prevented from being matched with each other, and the operation detection accuracy of the water pump unit is improved.
Description
Technical Field
The invention relates to the technical field of intelligent operation diagnosis of water pump units, in particular to an intelligent operation diagnosis platform for a flood control and drainage water pump unit.
Background
On the basis of continuous deepening of the urbanization process, higher requirements are put forward for the construction of urban infrastructure, particularly a flood control and drainage system, if the attention to the system construction is lacked, when an emergency situation occurs, troubles are inevitably caused to the life of urban residents, the improvement of the urban drainage emergency capacity is particularly important, the most common mode of flood control and drainage is to drain the waterlogging through a water pump unit, and therefore the diagnosis of the water pump unit in the operation process is also an important part for improving the urban drainage emergency capacity;
the patent with the application number of CN2020108530764 discloses an intelligent diagnosis platform for a flood control and drainage water pump unit, which comprises a water pump unit, a sensing module, a data analysis module, a fault diagnosis module, a state evaluation module, a man-machine interaction module, an alarm module and an industrial switch, wherein the output end of the water pump unit is connected with the input end of the sensing module, the output end of the sensing module is connected with the input end of the industrial switch, various parameters of the water pump unit are collected by a plurality of sensors in the sensing module in the intelligent diagnosis platform and are transmitted to the data analysis module through the industrial switch, analyzed data are transmitted to the fault diagnosis module, the state evaluation is carried out through the state evaluation module by comparing data parameters in a database, and at the moment, the fault diagnosis module feeds the data back to the sensing module through the industrial switch;
although the existing patent can detect the water pump unit, the existing patent cannot simultaneously detect the water pump unit before operation and during operation, only analyzes the fault of the water pump unit, and cannot set a discharge interval for the water pump unit, so that the production cost of the water pump unit during operation is increased, and the operation efficiency of the water pump unit is reduced;
a solution is now proposed to address the technical drawback in this respect.
Disclosure of Invention
The invention aims to provide an intelligent operation diagnosis platform for a flood control and drainage water pump unit, which aims to realize simultaneous detection before operation and detection in the operation process of the water pump unit, solve the problem of singleness analysis of fault detection of the water pump unit in the prior art, and set a discharge interval for the water pump unit so as to solve the problem of low operation efficiency of the water pump unit.
The purpose of the invention can be realized by the following technical scheme:
an intelligent operation diagnosis platform for a flood control and drainage pump unit comprises a cloud management platform, an operation detection unit, an energy-saving control unit and a mechanical data detection unit;
the mechanical data detection unit is used for carrying out data detection on the water pump unit, the detected water pump in the water pump unit is divided into a water pump with unqualified power, a water pump with unstable power and a water pump with qualified numerical value, and the detected water pump unit is sent to the cloud management platform;
the cloud management platform generates a maintenance signal and sends the maintenance signal and the unqualified water pump or the power unstable water pump to a mobile phone terminal of a worker together after receiving the unqualified water pump or the power unstable water pump, and generates an operation signal and sends the operation signal and the value qualified stable water pump to an operation detection unit after receiving the value qualified stable water pump;
the operation detection unit is used for dividing operation modes of the water pumps operated in the water pump unit, detecting the lift of the water pumps in different operation modes, generating a water pump maintenance signal or a unit normal signal after the water pump unit is detected, and sending the water pump maintenance signal or the unit normal signal to the cloud management platform;
the cloud management platform receives a water pump maintenance signal or a unit maintenance signal and then sends a corresponding signal to a mobile phone terminal of a worker, and after receiving a unit normal signal, the cloud management platform generates an energy-saving control signal and sends the energy-saving control signal to an energy-saving control unit;
the energy-saving control unit is used for carrying out energy-saving control on the operation of the water pump unit, analyzing the water pump unit to set a discharge interval, setting the motor rotating speed according to the discharge, and sending the set discharge interval and the corresponding motor rotating speed to the cloud management platform.
Further, the specific detection process of the mechanical data detection unit is as follows:
step S1: marking a water pump in the water pump unit as i, wherein i is 1, 2, …, n is a positive integer, acquiring a historical operation time period of the water pump unit, marking the historical operation time period as detection time, acquiring historical operation power of the water pump unit in the detection time period, marking the historical operation power as GL, and simultaneously constructing a historical operation power set { GL1, GL2, …, GLn } of the water pump in the water pump unit, wherein GL2 is expressed as the historical operation power of a second water pump in the water pump unit;
step S2: analyzing the historical operating power set by formula
Obtaining an average of subsets within a set of historical operating powers
Step S3: by the formula
Acquiring a subset root mean square value GLX in a historical operating power set;
step S4: averaging subsets of historical operating power
And comparing the mean value GLX with a mean threshold and a root mean square threshold respectively, wherein the specific comparison process is as follows:
if the mean value of the subsets in the historical operating power set is larger than or equal to the mean value threshold value and the root mean square value is larger than or equal to the root mean square value threshold value, judging that the operating power value is qualified, and entering the step S5, wherein the qualified value is represented as that the corresponding average power value of the water pump unit is qualified;
if any value of the mean value and the root mean square value of the subsets in the historical operating power set is smaller than the corresponding threshold value, judging that the operating power value is unqualified, marking the corresponding water pump in the water pump unit as an unqualified water pump, and sending the unqualified water pump to a cloud management platform;
step S5: by the formula
Obtaining a variance GLZ of a subset in a historical operating power set;
step S6: comparing the variance GLZ of the subset in the historical operating power set with a variance threshold, wherein the specific comparison process is as follows:
if the variance of the subset in the historical operating power set is larger than or equal to the variance threshold, judging that the historical operating power value is unstable, marking the water pump corresponding to the water pump unit as an unstable-power water pump, and sending the unstable-power water pump to the cloud management platform;
and if the variance of the subset in the historical operating power set is smaller than the variance threshold value, judging that the historical operating power value is stable, marking the water pump corresponding to the water pump unit as a numerically-qualified stable water pump, and sending the numerically-qualified stable water pump to the cloud management platform.
Further, the specific operation detection process of the operation detection unit is as follows:
step SS 1: the method comprises the steps of obtaining a working area corresponding to a water pump unit, dividing the working area into a plurality of sub-areas, and dividing the operation modes according to the positions of water pumps in the working area in the water pump unit, namely marking the water pumps in the same sub-area as series water pumps and marking the water pumps in different sub-areas in the working area as parallel water pumps;
step SS 2: the series water pump is labeled as p, p is 1, 2, …, m, the parallel water pump is labeled as y, y is 1, 2, …, o, where o and m are positive integers, and o + m is n; acquiring the sum of the lifts of the series water pumps in real time, marking the sum of the lifts of the series water pumps as LLp, acquiring the rated impedance and the flow of the corresponding connecting pipeline of the series water pumps in real time, marking the rated impedance and the flow of the corresponding connecting pipeline of the series water pumps as ZKp and GLp respectively, and acquiring the flow of the series water pumpsEqual amount, and the lifts are overlapped, namely the equation LLp is ZKp XGLp2If the equality is established, judging that the series water pump normally operates, entering a step SS3, if the equality is not established, judging that the series water pump abnormally operates, generating a water pump maintenance signal and sending the water pump maintenance signal to a cloud management platform;
step SS 3: acquiring the lift of the parallel water pump in real time, marking the lift of the parallel water pump as BLy, taking the lift of the parallel water pump as the total lift of a water pump unit, acquiring the total flow of the corresponding series water pump in each sub-area and the total impedance of the connecting pipeline of each sub-area, and marking the total flow of the corresponding series water pump in each sub-area and the total impedance of the connecting pipeline of each sub-area as ZLy and ZKy respectively; the parallel water pumps have equal lift and flow superposition, namely the equation BLy is constructed as ZKy multiplied by ZLy2If the equality is not established, the parallel water pump unit is judged to be abnormal to operate, a unit maintenance signal is generated and sent to the cloud management platform.
Further, the specific energy-saving control process of the energy-saving control unit is as follows:
step T1: acquiring historical maximum emission and minimum emission, respectively marking the historical maximum emission and minimum emission as an emission upper limit value and an emission lower limit value, marking an emission interval between the emission upper limit value and the emission lower limit value as an emission interval, and dividing the emission interval into g sub-intervals, wherein g is 1, 2, …, v and v are positive integers, and the difference between the emission upper limit value and the emission lower limit value of the g sub-intervals is the same;
step T2: sequencing the divided subintervals according to a time sequence, acquiring the emission upper limit value and the emission lower limit value of each subinterval, and constructing a historical operation time set { t1, t2, …, tg };
step T3: acquiring the rotating speed of a motor transmission shaft in the running process of a corresponding water pump in each time period, constructing a rotating speed set { ZDt2-t1, ZDt3-t2, … and ZDtg- (tg-1) }, analyzing the rotating speed set, and refining subintervals;
step T4: sorting subsets in the rotating speed set according to the corresponding sub-interval division sequence, and if the rotating speeds corresponding to the adjacent sub-intervals are equal, performing interval fusion on the two adjacent sub-intervals, namely, the highest emission upper limit value in the two adjacent sub-intervals is the combined interval emission upper limit value, and the lowest emission lower limit value is the combined interval emission lower limit value; if the rotating speeds of the adjacent subintervals are different, no operation is performed;
step T5: adjusting the numerical values in the g sub-intervals after the intervals are fused, and sending the adjusted sub-intervals and the rotation speeds corresponding to the intervals to a cloud management platform; and after receiving the adjusted subintervals and the rotating speeds of the corresponding intervals, the cloud management platform sends the rotating speeds of the corresponding motor transmission shafts of the subintervals to the mobile phone terminals of the workers when the real-time emission is in the corresponding subintervals.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, a mechanical data detection unit is used for carrying out data detection on a water pump unit, a detected water pump in the water pump unit is divided into a water pump with unqualified power, a water pump with unstable power and a water pump with qualified and stable numerical value, and the detected water pump unit is sent to a cloud management platform; the historical operation power value is analyzed, whether the power of the water pump meets the standard or not is judged, and the power is used as an operation prediction condition, so that the accuracy of the operation prediction of the water pump is improved; the variance corresponding to the subset in the historical operating power set is detected, so that the power stability of the historical operation of the water pump is judged, the prediction of the water pump is more accurately carried out, the phenomena that the operating power value is unstable, the drainage effect of the water pump is poor, and meanwhile, the service life of the water pump is reduced due to untimely maintenance are prevented;
2. according to the invention, the operation detection unit is used for dividing the operation modes of the operation water pump in the water pump unit and detecting the lift of the water pump with different operation modes, a water pump maintenance signal or a unit normal signal is generated after the water pump unit is detected, and the water pump maintenance signal or the unit normal signal is sent to the cloud management platform; the operation quality of each subarea of the water pump unit is reflected through the detection of the series water pumps, and the detection accuracy of the operation of the water pumps is improved by refining the subareas; the overall operation condition of the water pump unit is judged through the detection of the parallel water pumps, so that the water pumps in all sub-areas are prevented from being matched with each other, and the operation detection accuracy of the water pump unit is improved;
3. according to the invention, the energy-saving control unit is used for carrying out energy-saving control on the operation of the water pump unit, analyzing and setting a discharge interval for the water pump unit, setting the motor rotating speed according to the discharge, and simultaneously sending the set discharge interval and the corresponding motor rotating speed to the cloud management platform; the water discharge capacity is divided according to the historical discharge capacity, the rotating speed of the motor is reasonably matched with different discharge capacities, the rotating speed of the motor is strictly controlled, the water discharge capacity is completed, the output of the motor is reduced to the maximum extent, and therefore the production cost is reduced, and the working efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an intelligent operation diagnosis platform for a flood control and drainage pump unit comprises a cloud management platform, an operation detection unit, an energy-saving control unit and a mechanical data detection unit, wherein the cloud management platform is in bidirectional communication connection with the operation detection unit, the energy-saving control unit and the mechanical data detection unit;
the mechanical data detection unit is used for detecting data of the water pump unit, the data detection is represented by detecting a mechanical state before the water pump unit operates, the mechanical state detection is represented by detecting mechanical data of the water pump unit in real time, the mechanical data is a change of a characteristic quantity value reflecting the operating state of the water pump unit, whether the water pump unit normally operates is predicted, the accuracy of prediction analysis is determined by the sensitivity of the mechanical data to the water pump unit, the mechanical data of the water pump unit comprises the voltage, the current and the power of the water pump unit, the mechanical data of the application is limited to historical operating power of the water pump unit, and the specific detection process is as follows:
step S1: marking a water pump in the water pump unit as i, wherein i is 1, 2, …, n is a positive integer, acquiring a historical operation time period of the water pump unit, marking the historical operation time period as detection time, acquiring historical operation power of the water pump unit in the detection time period, marking the historical operation power as GL, and simultaneously constructing a historical operation power set { GL1, GL2, …, GLn } of the water pump in the water pump unit, wherein GL2 is expressed as the historical operation power of a second water pump in the water pump unit;
step S2: analyzing the historical operating power set by formula
Obtaining an average of subsets within a set of historical operating powers
The historical running power mean value is expressed as a mathematical expected value, and the central trend of data signal change is expressed;
step S3: by the formula
Obtaining a subset root mean square value GLX in a historical operating power set, wherein the historical operating power is planted in the root mean square modeA representation of the data-averaged signal;
step S4: averaging subsets of historical operating power
And comparing the GLX with the mean value threshold and the GLX, analyzing historical operating power values, judging whether the power of the water pump meets the standard or not, and taking the power as an operating prediction condition to improve the accuracy of the operation prediction of the water pump, wherein the specific comparison process comprises the following steps:
if the mean value of the subsets in the historical operating power set is larger than or equal to the mean value threshold value and the root mean square value is larger than or equal to the root mean square value threshold value, judging that the operating power value is qualified, and entering the step S5, wherein the qualified value is represented as that the corresponding average power value of the water pump unit is qualified;
if any value of the mean value and the root mean square value of the subsets in the historical operating power set is smaller than the corresponding threshold value, judging that the operating power value is unqualified, marking the corresponding water pump in the water pump unit as an unqualified water pump, and sending the unqualified water pump to a cloud management platform;
step S5: by the formula
Acquiring the GLZ of the subsets in the historical operating power set, wherein the GLZ of the subsets in the historical operating power set represents the separation degree of data and is used for judging the stability of the historical operating power and improving the accuracy of data detection of the water pump unit;
step S6: the variance GLZ of the subset in the historical operating power set is compared with a variance threshold value, and the corresponding variance of the subset in the historical operating power set is detected, so that the power stability of the historical operation of the water pump is judged, the water pump is more accurately predicted, the phenomenon that the operating power value is unstable is prevented from causing poor drainage effect of the water pump, meanwhile, the service life of the water pump is reduced due to the fact that the operating power value is not stable, and the specific comparison process is as follows:
if the variance of the subset in the historical operating power set is larger than or equal to the variance threshold, judging that the historical operating power value is unstable, marking the water pump corresponding to the water pump unit as an unstable-power water pump, and sending the unstable-power water pump to the cloud management platform;
if the variance of the subset in the historical operating power set is smaller than a variance threshold value, judging that the historical operating power value is stable, marking the water pump corresponding to the water pump unit as a numerically-qualified stable water pump, and sending the numerically-qualified stable water pump to the cloud management platform;
the cloud management platform generates a maintenance signal and sends the maintenance signal and the unqualified water pump or the power unstable water pump to a mobile phone terminal of a worker together after receiving the unqualified water pump or the power unstable water pump, and generates an operation signal and sends the operation signal and the value qualified stable water pump to an operation detection unit after receiving the value qualified stable water pump;
the operation detection unit is used for carrying out the operation mode division to the water pump of running in the water pump unit to carry out the lift detection to the water pump of different operation modes, the operation mode divide into parallel operation and series operation two kinds, and the water pump that parallel operation and series operation correspond is marked as parallel water pump and series water pump respectively promptly, and concrete operation testing process is as follows:
step SS 1: the method comprises the steps of obtaining a working area corresponding to a water pump unit, dividing the working area into a plurality of sub-areas, and dividing the operation modes according to the positions of water pumps in the working area in the water pump unit, namely marking the water pumps in the same sub-area as series water pumps and marking the water pumps in different sub-areas in the working area as parallel water pumps;
step SS 2: the series water pump is labeled as p, p is 1, 2, …, m, the parallel water pump is labeled as y, y is 1, 2, …, o, where o and m are positive integers, and o + m is n; acquiring the sum of the lifts of the series water pumps in real time, marking the sum of the lifts of the series water pumps as LLp, acquiring the rated impedance and the flow of the corresponding connecting pipeline of the series water pumps in real time, marking the rated impedance and the flow of the corresponding connecting pipeline of the series water pumps as ZKp and GLp respectively, enabling the flow of the series water pumps to be equal, and overlapping the lifts to construct an equation LLp which is ZKp XGLp2If the equality is true, the cascade is determinedThe water pump runs normally, the operation enters the step SS3, if the equation is not established, the series connection water pump is judged to be abnormal, a water pump maintenance signal is generated and sent to the cloud management platform, the running quality of each subarea of the water pump unit is reflected through the detection of the series connection water pump, the area is refined, and the detection accuracy of the water pump running is improved;
step SS 3: acquiring the lift of the parallel water pump in real time, marking the lift of the parallel water pump as BLy, taking the lift of the parallel water pump as the total lift of a water pump unit, acquiring the total flow of the corresponding series water pump in each sub-area and the total impedance of the connecting pipeline of each sub-area, and marking the total flow of the corresponding series water pump in each sub-area and the total impedance of the connecting pipeline of each sub-area as ZLy and ZKy respectively; the parallel water pumps have equal lift and flow superposition, namely the equation BLy is constructed as ZKy multiplied by ZLy2If the equality is established, the parallel water pumps are judged to normally operate, the water pump units are judged to normally operate, unit normal signals are generated and sent to the cloud management platform, if the equality is not established, the parallel water pump units are judged to abnormally operate, unit maintenance signals are generated and sent to the cloud management platform, the overall operation condition of the water pump units is judged through the parallel water pump detection, the water pumps in all sub-areas are prevented from being matched with one another, and the operation detection accuracy of the water pump units is improved;
the cloud management platform receives a water pump maintenance signal or a unit maintenance signal and then sends the corresponding signal to a mobile phone terminal of a worker, and after receiving a unit normal signal, the cloud management platform generates an energy-saving control signal and sends the energy-saving control signal to an energy-saving control unit;
the energy-saving control unit is used for performing energy-saving control on the operation of the water pump unit, the operation efficiency of the water pump unit is improved, the idling phenomenon of the water pump unit is reduced, and the specific energy-saving control process is as follows:
step T1: acquiring historical maximum emission and minimum emission, respectively marking the historical maximum emission and minimum emission as an emission upper limit value and an emission lower limit value, marking an emission interval between the emission upper limit value and the emission lower limit value as an emission interval, and dividing the emission interval into g sub-intervals, wherein g is 1, 2, …, v and v are positive integers, and the difference between the emission upper limit value and the emission lower limit value of the g sub-intervals is the same;
step T2: sequencing the divided subintervals according to a time sequence, acquiring the emission upper limit value and the emission lower limit value of each subinterval, and constructing a historical operation time set { t1, t2, …, tg };
step T3: acquiring the rotating speed of a motor transmission shaft in the running process of a corresponding water pump in each time period, constructing a rotating speed set { ZDt2-t1, ZDt3-t2, … and ZDtg- (tg-1) }, analyzing the rotating speed set, and refining subintervals;
step T4: sorting subsets in the rotating speed set according to the corresponding sub-interval division sequence, and if the rotating speeds corresponding to the adjacent sub-intervals are equal, performing interval fusion on the two adjacent sub-intervals, namely, the highest emission upper limit value in the two adjacent sub-intervals is the combined interval emission upper limit value, and the lowest emission lower limit value is the combined interval emission lower limit value; if the rotating speeds of the adjacent subintervals are different, no operation is performed;
step T5: adjusting the numerical values in the g sub-intervals after the intervals are fused, and sending the adjusted sub-intervals and the rotation speeds corresponding to the intervals to a cloud management platform; after the cloud management platform receives the sub-interval after the regulation and the rotating speed of the corresponding interval, when the real-time emission is in the corresponding sub-interval, the rotating speed of the corresponding motor transmission shaft of the sub-interval is sent to a mobile phone terminal of a worker, the motor rotation speed is divided according to the historical emission, the motor rotation speed is reasonably matched with different emission amounts, the motor rotation speed is strictly controlled, the motor output is reduced to the maximum degree while the water discharge amount is finished, and the production cost is reduced, so that the working efficiency is improved.
The working principle of the invention is as follows:
when the water pump unit works, data detection is carried out on the water pump unit through a mechanical data detection unit, a detected water pump in the water pump unit is divided into a water pump with unqualified power, a water pump with unstable power and a water pump with qualified and stable numerical value, and the detected water pump unit is sent to a cloud management platform; the operation detection unit is used for dividing operation modes of the water pump operated in the water pump unit, detecting the lift of the water pump with different operation modes, generating a water pump maintenance signal or a unit normal signal after the water pump unit is detected, and sending the water pump maintenance signal or the unit normal signal to the cloud management platform; the energy-saving control unit is used for performing energy-saving control on the operation of the water pump unit, analyzing and setting the emission interval of the water pump unit, setting the motor rotating speed according to the emission, and sending the set emission interval and the corresponding motor rotating speed to the cloud management platform.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. An intelligent operation diagnosis platform for a flood control and drainage pump unit is characterized by comprising a cloud management platform, an operation detection unit, an energy-saving control unit and a mechanical data detection unit;
the mechanical data detection unit is used for carrying out data detection on the water pump unit, the detected water pump in the water pump unit is divided into a water pump with unqualified power, a water pump with unstable power and a water pump with qualified numerical value, and the detected water pump unit is sent to the cloud management platform;
the cloud management platform generates a maintenance signal and sends the maintenance signal and the unqualified water pump or the power unstable water pump to a mobile phone terminal of a worker together after receiving the unqualified water pump or the power unstable water pump, and generates an operation signal and sends the operation signal and the value qualified stable water pump to an operation detection unit after receiving the value qualified stable water pump;
the operation detection unit is used for dividing operation modes of the water pumps operated in the water pump unit, detecting the lift of the water pumps in different operation modes, generating a water pump maintenance signal or a unit normal signal after the water pump unit is detected, and sending the water pump maintenance signal or the unit normal signal to the cloud management platform;
the cloud management platform receives a water pump maintenance signal or a unit maintenance signal and then sends a corresponding signal to a mobile phone terminal of a worker, and after receiving a unit normal signal, the cloud management platform generates an energy-saving control signal and sends the energy-saving control signal to an energy-saving control unit;
the energy-saving control unit is used for carrying out energy-saving control on the operation of the water pump unit, analyzing the water pump unit to set a discharge interval, setting the motor rotating speed according to the discharge, and sending the set discharge interval and the corresponding motor rotating speed to the cloud management platform.
2. The intelligent operation diagnosis platform for the flood control and drainage pump set according to claim 1, wherein the mechanical data detection unit specifically detects the following processes:
step S1: marking a water pump in the water pump unit as i, wherein i is 1, 2, …, n is a positive integer, acquiring a historical operation time period of the water pump unit, marking the historical operation time period as detection time, acquiring historical operation power of the water pump unit in the detection time period, marking the historical operation power as GL, and simultaneously constructing a historical operation power set { GL1, GL2, …, GLn } of the water pump in the water pump unit, wherein GL2 is expressed as the historical operation power of a second water pump in the water pump unit;
step S2: analyzing the historical operating power set by formula
Obtaining an average of subsets within a set of historical operating powers
Step S3: by the formula
Acquiring a subset root mean square value GLX in a historical operating power set;
step S4: averaging subsets of historical operating power
And comparing the mean value GLX with a mean threshold and a root mean square threshold respectively, wherein the specific comparison process is as follows:
if the mean value of the subsets in the historical operating power set is larger than or equal to the mean value threshold value and the root mean square value is larger than or equal to the root mean square value threshold value, judging that the operating power value is qualified, and entering the step S5, wherein the qualified value is represented as that the corresponding average power value of the water pump unit is qualified;
if any value of the mean value and the root mean square value of the subsets in the historical operating power set is smaller than the corresponding threshold value, judging that the operating power value is unqualified, marking the corresponding water pump in the water pump unit as an unqualified water pump, and sending the unqualified water pump to a cloud management platform;
step S5: by the formula
Obtaining a variance GLZ of a subset in a historical operating power set;
step S6: comparing the variance GLZ of the subset in the historical operating power set with a variance threshold, wherein the specific comparison process is as follows:
if the variance of the subset in the historical operating power set is larger than or equal to the variance threshold, judging that the historical operating power value is unstable, marking the water pump corresponding to the water pump unit as an unstable-power water pump, and sending the unstable-power water pump to the cloud management platform;
and if the variance of the subset in the historical operating power set is smaller than the variance threshold value, judging that the historical operating power value is stable, marking the water pump corresponding to the water pump unit as a numerically-qualified stable water pump, and sending the numerically-qualified stable water pump to the cloud management platform.
3. The intelligent operation diagnosis platform for the flood control and drainage pump unit according to claim 1, wherein the operation detection unit specifically operates the following detection process:
step SS 1: the method comprises the steps of obtaining a working area corresponding to a water pump unit, dividing the working area into a plurality of sub-areas, and dividing the operation modes according to the positions of water pumps in the working area in the water pump unit, namely marking the water pumps in the same sub-area as series water pumps and marking the water pumps in different sub-areas in the working area as parallel water pumps;
step SS 2: the series water pump is labeled as p, p is 1, 2, …, m, the parallel water pump is labeled as y, y is 1, 2, …, o, where o and m are positive integers, and o + m is n; acquiring the sum of the lifts of the series water pumps in real time, marking the sum of the lifts of the series water pumps as LLp, acquiring the rated impedance and the flow of the corresponding connecting pipeline of the series water pumps in real time, marking the rated impedance and the flow of the corresponding connecting pipeline of the series water pumps as ZKp and GLp respectively, enabling the flow of the series water pumps to be equal, and overlapping the lifts to construct an equation LLp which is ZKp XGLp2If the equality is established, judging that the series water pump normally operates, entering a step SS3, if the equality is not established, judging that the series water pump abnormally operates, generating a water pump maintenance signal and sending the water pump maintenance signal to a cloud management platform;
step SS 3: acquiring the lift of the parallel water pump in real time, marking the lift of the parallel water pump as BLy, taking the lift of the parallel water pump as the total lift of a water pump unit, acquiring the total flow of the corresponding series water pump in each sub-area and the total impedance of the connecting pipeline of each sub-area, and marking the total flow of the corresponding series water pump in each sub-area and the total impedance of the connecting pipeline of each sub-area as ZLy and ZKy respectively; the parallel water pumps have equal lift and flow superposition, namely the equation BLy is constructed as ZKy multiplied by ZLy2If the equality is established, the parallel water pump is judged to normally operateIf the equation is not satisfied, the parallel water pump unit is judged to be abnormal to operate, a unit maintenance signal is generated, and the unit maintenance signal is sent to the cloud management platform.
4. The intelligent operation diagnosis platform for the flood control and drainage pump set according to claim 1, wherein the energy-saving control unit comprises the following specific energy-saving control processes:
step T1: acquiring historical maximum emission and minimum emission, respectively marking the historical maximum emission and minimum emission as an emission upper limit value and an emission lower limit value, marking an emission interval between the emission upper limit value and the emission lower limit value as an emission interval, and dividing the emission interval into g sub-intervals, wherein g is 1, 2, …, v and v are positive integers, and the difference between the emission upper limit value and the emission lower limit value of the g sub-intervals is the same;
step T2: sequencing the divided subintervals according to a time sequence, acquiring the emission upper limit value and the emission lower limit value of each subinterval, and constructing a historical operation time set { t1, t2, …, tg };
step T3: acquiring the rotating speed of a motor transmission shaft in the running process of a corresponding water pump in each time period, constructing a rotating speed set { ZDt2-t1, ZDt3-t2, … and ZDtg- (tg-1) }, analyzing the rotating speed set, and refining subintervals;
step T4: sorting subsets in the rotating speed set according to the corresponding sub-interval division sequence, and if the rotating speeds corresponding to the adjacent sub-intervals are equal, performing interval fusion on the two adjacent sub-intervals, namely, the highest emission upper limit value in the two adjacent sub-intervals is the combined interval emission upper limit value, and the lowest emission lower limit value is the combined interval emission lower limit value; if the rotating speeds of the adjacent subintervals are different, no operation is performed;
step T5: adjusting the numerical values in the g sub-intervals after the intervals are fused, and sending the adjusted sub-intervals and the rotation speeds corresponding to the intervals to a cloud management platform; and after receiving the adjusted subintervals and the rotating speeds of the corresponding intervals, the cloud management platform sends the rotating speeds of the corresponding motor transmission shafts of the subintervals to the mobile phone terminals of the workers when the real-time emission is in the corresponding subintervals.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110757850.6A CN113323858A (en) | 2021-07-05 | 2021-07-05 | Intelligent operation diagnosis platform for flood control and drainage water pump unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110757850.6A CN113323858A (en) | 2021-07-05 | 2021-07-05 | Intelligent operation diagnosis platform for flood control and drainage water pump unit |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113323858A true CN113323858A (en) | 2021-08-31 |
Family
ID=77425629
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110757850.6A Withdrawn CN113323858A (en) | 2021-07-05 | 2021-07-05 | Intelligent operation diagnosis platform for flood control and drainage water pump unit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113323858A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116838595A (en) * | 2023-07-24 | 2023-10-03 | 广州市昕恒泵业制造有限公司 | Intelligent detection device is used in water pump production |
-
2021
- 2021-07-05 CN CN202110757850.6A patent/CN113323858A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116838595A (en) * | 2023-07-24 | 2023-10-03 | 广州市昕恒泵业制造有限公司 | Intelligent detection device is used in water pump production |
| CN116838595B (en) * | 2023-07-24 | 2024-01-02 | 广州市昕恒泵业制造有限公司 | Intelligent detection device is used in water pump production |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102223264B (en) | Alarm processing method and alarm processing system for monitoring system | |
| CN107656467A (en) | A kind of method based on Internet of Things Distribution Management System and its on-line monitoring | |
| CN103839189A (en) | Distribution automation scheme optimization method and system based on reliability benefit evaluation | |
| CN209676004U (en) | A kind of the wireless monitor detector and system of electric line safe operation | |
| CN113323858A (en) | Intelligent operation diagnosis platform for flood control and drainage water pump unit | |
| CN113762604B (en) | Industrial Internet big data service system | |
| CN114801751A (en) | Automobile battery fault prediction system based on data analysis | |
| CN111596643A (en) | Visual dynamic energy consumption diagnosis, analysis and pre-control system based on big data | |
| CN116128241A (en) | Intelligent power supply system | |
| CN114061770B (en) | Distributed prefabricated optical fiber bus temperature measurement system | |
| CN112288298A (en) | Desulfurization system health condition evaluation method based on online data | |
| CN117031381B (en) | Fault detection system and method of power supply detection equipment | |
| CN109980782A (en) | A kind of the wireless monitor detector and system of electric line safe operation | |
| CN215109546U (en) | Real-time monitoring system of electric submersible pump with micro-signal alarm function | |
| CN113969890B (en) | Method for monitoring operation of drainage pump and fault diagnosis thereof based on liquid level meter | |
| CN115830812A (en) | Intelligent early warning system and method for abnormal settlement of pump station building | |
| CN112732822B (en) | Intelligent comprehensive drainage management system | |
| CN115421420A (en) | Digital twin system of water conservancy pump station | |
| CN114492608A (en) | Big data-based management and control system for flood control and drainage water pump unit | |
| CN111381551A (en) | Intelligent monitoring system and monitoring method for hydropower station downward discharge flow | |
| CN116150195A (en) | System and method for online monitoring safety low-carbon electricity consumption of users in multiple types of parks | |
| CN216248903U (en) | Intelligent production equipment monitoring and diagnosing platform | |
| CN116307263B (en) | Pump station full-flow dynamic intelligent scheduling method and system based on digital twin | |
| CN115573851B (en) | Water and electricity equipment safety monitoring method based on Oncall early warning system | |
| CN214756417U (en) | Dynamic management system based on real-time data acquisition and analysis of Internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210831 |