CN111577590A - Method for evaluating real-time energy efficiency of Internet of things machine pump - Google Patents
Method for evaluating real-time energy efficiency of Internet of things machine pump Download PDFInfo
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- CN111577590A CN111577590A CN202010399511.0A CN202010399511A CN111577590A CN 111577590 A CN111577590 A CN 111577590A CN 202010399511 A CN202010399511 A CN 202010399511A CN 111577590 A CN111577590 A CN 111577590A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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Abstract
The invention relates to the technical field of energy efficiency evaluation of a machine pump of the Internet of things, and discloses a method for evaluating the real-time energy efficiency of the machine pump of the Internet of things, which comprises the following steps: 1) acquiring a rotating speed signal through a rotating speed sensor, and then obtaining a fitting function of the rotating speed through fitting; 2) obtaining a function θ (t) of the change of the rotation angle with time by integration according to the obtained rotation speed fitting function n '(t), wherein θ (t) is ═ n' (t) dt; 3) the change curve of the rotation angle is divided into equal angles delta theta, and as shown in figure 3, a time sequence t of equal angle resampling is obtainedk(k ═ 0, 1, …, n); 4) according to the time sequence tkAnd (4) interpolating the acceleration vibration signal Y (t) to obtain an equiangular resampling vibration signal Y' (t). According to the method for evaluating the real-time energy efficiency of the machine pump of the Internet of things, equipment information is usually attached to a traditional machine pump in a nameplate mode, delivery test data such as a power curve and loss do not exist, and the scheme prestores the information of the equipment (delivery test data such as the power curve and the loss) of a motor or a pump-out plant through an onboard evaluation module.
Description
Technical Field
The invention relates to the technical field of energy efficiency evaluation of a machine pump of the Internet of things, in particular to a real-time energy efficiency evaluation method of the machine pump of the Internet of things.
Background
At present, the operation energy efficiency and the state monitoring of the mechanical pump equipment need to be realized by a DCS system and an SCADA system, for example, a water supply plant knows the operation energy efficiency and the operation state of the mechanical pump by deploying the DCS system and additionally installing a vibration sensor, a pressure sensor, a flow sensor, a voltage sensor, a current sensor and a temperature polling instrument, for example, a power plant, and knows the operation energy efficiency and the operation state of the mechanical pump by deploying the SCADA system and additionally installing a vibration sensor, a pressure sensor, a flow sensor, a voltage sensor, a current sensor, a temperature sensor, a rotating speed sensor and the like.
In the process of energy efficiency evaluation of a DCS (distributed control System) or SCADA (supervisory control and data acquisition) system from sensor data acquisition, the real-time performance of the data and the synchronous sampling of each sensor data are ensured to be the existing problems, so that the accuracy of the energy efficiency evaluation of pump equipment is influenced, and along with the continuous improvement of the requirements of China on the manufacturing quality of the pump equipment, the accuracy of the energy efficiency evaluation of the pump equipment is inevitably required to be improved, so that the method for evaluating the real-time energy efficiency of the pump equipment of the Internet of things is provided to solve the problems.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method for evaluating the real-time energy efficiency of a machine pump of the Internet of things, which has the advantages of high accuracy of energy efficiency evaluation and real-time energy efficiency evaluation, and solves the problems that the real-time performance of data and synchronous sampling of each sensor data are ensured in the process from the acquisition of the sensor data to the energy efficiency evaluation of a DCS (distributed control system) or SCADA (supervisory control and data acquisition) system, so that the accuracy of the energy efficiency evaluation is influenced, and along with the continuous improvement of the requirement of China on the manufacturing quality of the machine pump equipment, the accuracy of the energy efficiency evaluation of the machine pump equipment is inevitably required to be improved.
(II) technical scheme
In order to achieve the purposes of high accuracy of energy efficiency evaluation and real-time energy efficiency evaluation, the invention provides the following technical scheme: a real-time energy efficiency evaluation method for an Internet of things machine pump comprises the following steps:
1) acquiring a rotating speed signal through a rotating speed sensor, and then obtaining a fitting function of the rotating speed through fitting;
2) obtaining a function θ (t) of the change of the rotation angle with time by integration according to the obtained rotation speed fitting function n '(t), wherein θ (t) is ═ n' (t) dt;
3) the change curve of the rotation angle is divided into equal angles delta theta, and as shown in figure 3, a time sequence t of equal angle resampling is obtainedk(k＝0，1，…，n)；
4) According to the time sequence tkInterpolating the acceleration vibration signal Y (t) to obtain an equiangular resampling vibration signal Y' (t);
5) performing FFT on the vibration signal Y' (t) to obtain an order spectrum;
6) determining the vibration position by using the relation between the characteristic frequency and the frequency conversion,
the relationship between the outer ring characteristic frequency and the frequency conversion is as follows:
the relationship between the inner ring characteristic frequency and the rotation frequency is as follows:
the characteristic frequency and the rotation frequency of the rolling body are related as follows:
the characteristic frequency and the frequency conversion relation of the cage are as follows:
wherein f isrmN/60, D is the diameter of the rolling body, D is the pitch diameter of the bearing, and α is the contact angle;
7) and determining the vibration loss according to the vibration sources at different positions.
(III) advantageous effects
Compared with the prior art, the invention provides a real-time energy efficiency evaluation method for the machine pump of the Internet of things, which has the following beneficial effects:
the method for evaluating the real-time energy efficiency of the machine pump of the Internet of things is characterized in that equipment information is usually attached to a traditional machine pump in a nameplate mode, delivery test data such as a power curve and loss do not exist, the scheme prestores motor or pump-out factory equipment information (delivery test data such as a power curve and loss) through an onboard evaluation module, collects operation and state parameters of the machine pump in real time, and internally-arranged analysis software is used for completing analysis of the health state, the energy efficiency and the like of a machine in real time, an industrial network interface enables the machine pump to be intelligently and quickly integrated into an enterprise DCS, powerful analysis and diagnosis means can be provided for finding faults such as unbalance, misalignment, rotor rubbing, looseness, bearing damage and the like of equipment, vibration parameters, electric energy parameters and process parameters can be deeply fused and analyzed, the result of unit operation is given, the accuracy of energy efficiency evaluation is improved through vibration signal correction, the purpose of real-time energy efficiency evaluation is achieved, and the radio frequency identification module can reliably obtain the unique identity information of the pump within a certain range by using the electronic identity tag.
Drawings
FIG. 1 is a functional block diagram of an airborne evaluation module of the real-time energy efficiency evaluation method of the Internet of things machine pump, which is provided by the invention;
FIG. 2 is a flow chart of extracting a specific frequency vibration signal of a method for evaluating real-time energy efficiency of an Internet of things pump, provided by the invention;
fig. 3 is an isometric resampling schematic diagram of the real-time energy efficiency evaluation method of the internet-of-things pump.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious 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.
Referring to fig. 1-3, a method for evaluating the real-time energy efficiency of an internet-of-things pump, the internet-of-things pump is composed of pump equipment, an onboard evaluation module and multiple sensors, the multiple sensors include power, pressure, flow, voltage, current sensors, temperature, rotation speed, air pressure, humidity, water quality sensors and the like to realize thorough sensing, the onboard evaluation module includes a memory unit, an MCU unit, a collection unit, a radio frequency identification module, an industrial communication module and a crystal oscillator, the memory unit is pre-stored with information of the motor and pump plant equipment (power curve, loss and other factory test data), the MCU unit can continuously monitor vibration and process parameters such as shaft oscillation (swing angle), tile oscillation, eccentricity, expansion difference, shaft displacement, thermal expansion, rotation speed, temperature, pressure and the like, and can provide powerful analysis and diagnosis means for finding faults such as unbalance, misalignment, rotor rubbing, looseness, bearing damage and the like of the equipment, the vibration parameters, the electric energy parameters and the process parameters can be deeply fused and analyzed to give a result of the unit operation energy efficiency, the radio frequency identification module can reliably obtain the unique identity information of the pump by using the electronic identity tag in a certain range, and the industrial network interface can interconnect the pumps or enable the pumps to be integrated into an enterprise DCS.
A real-time energy efficiency evaluation method for an Internet of things machine pump comprises the following steps:
1) acquiring a rotating speed signal through a rotating speed sensor, and then obtaining a fitting function of the rotating speed through fitting;
2) obtaining a function θ (t) of the change of the rotation angle with time by integration according to the obtained rotation speed fitting function n '(t), wherein θ (t) is ═ n' (t) dt;
3) the change curve of the rotation angle is divided into equal angles delta theta, and as shown in figure 3, a time sequence t of equal angle resampling is obtainedk(k＝0，1，…，n)；
4) According to the time sequence tkInterpolating the acceleration vibration signal Y (t) to obtain an equiangular resampling vibration signal Y' (t);
5) performing FFT on the vibration signal Y' (t) to obtain an order spectrum;
6) determining the vibration position by using the relation between the characteristic frequency and the frequency conversion,
the relationship between the outer ring characteristic frequency and the frequency conversion is as follows:
the relationship between the inner ring characteristic frequency and the rotation frequency is as follows:
the characteristic frequency and the rotation frequency of the rolling body are related as follows:
the characteristic frequency and the frequency conversion relation of the cage are as follows:
wherein f isrmN/60, D is the diameter of the rolling body, D is the pitch diameter of the bearing, and α is the contact angle;
7) and determining the vibration loss according to the vibration sources at different positions.
And (3) an energy efficiency evaluation algorithm:
a motor: motor energy efficiency under rated speed is equal to actual shaft power/actual motor input power
A water pump: the pump energy efficiency at the rated rotating speed is equal to the water power at the rated rotating speed/the shaft power at the rated rotating speed, the energy efficiency is corrected through a vibration signal, a correction algorithm is as follows, and a characteristic vibration extraction flow is specifically shown in figure 2
A motor: the motor energy efficiency under rated speed is equal to the actual shaft power/(actual motor input power-motor characteristic vibration energy consumption-motor loss)
A water pump: pump efficiency at rated speed-water power at rated speed/(shaft power at rated speed-pump characteristic vibration energy consumption-water pump loss)
The invention has the beneficial effects that: usually, equipment information is attached to a traditional machine pump in a nameplate mode, and factory test data such as a power curve and loss do not exist, the scheme prestores motor or pump factory equipment information (factory test data such as a power curve and loss) through an onboard evaluation module, collects operation and state parameters of the machine pump in real time, and built-in analysis software is used for completing analysis of machine health state, energy efficiency and the like in real time, an industrial network interface enables the machine pump to be intelligently and quickly integrated into an enterprise DCS system, powerful analysis and diagnosis means can be provided for discovery of equipment accidents such as unbalance, misalignment, rotor rubbing, loosening, bearing damage and the like, vibration parameters, electric energy parameters and process parameters can be deeply integrated for analysis, a result of unit operation energy efficiency is given, accuracy of energy efficiency evaluation is improved through vibration signal correction, and the purpose of real-time energy efficiency evaluation is achieved, the radio frequency identification module can reliably obtain the unique identity information of the pump and the electronic identity label in a certain range, so that the problems that the real-time performance of data and synchronous sampling of each sensor data are guaranteed in the process of acquiring the sensor data and carrying out energy efficiency evaluation on a DCS (distributed control system) system or an SCADA (supervisory control and data acquisition) system are solved, the accuracy of energy efficiency evaluation is further influenced, and along with the continuous improvement of the requirements of China on the manufacturing quality of pump equipment, the accuracy of the energy efficiency evaluation of the pump equipment is inevitably required to be improved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (1)
1. A real-time energy efficiency evaluation method for an Internet of things machine pump is characterized by comprising the following steps:
1) acquiring a rotating speed signal through a rotating speed sensor, and then obtaining a fitting function of the rotating speed through fitting;
2) obtaining a function θ (t) of the change of the rotation angle with time by integration according to the obtained rotation speed fitting function n '(t), wherein θ (t) is ═ n' (t) dt;
3) the change curve of the rotation angle is divided into equal angles delta theta, and as shown in figure 3, a time sequence t of equal angle resampling is obtainedk(k＝0，1，…，n)；
4) According to the time sequence tkInterpolating the acceleration vibration signal Y (t) to obtain an equiangular resampling vibration signal Y' (t);
5) performing FFT on the vibration signal Y' (t) to obtain an order spectrum;
6) determining the vibration position by using the relation between the characteristic frequency and the frequency conversion,
the relationship between the outer ring characteristic frequency and the frequency conversion is as follows:
the relationship between the inner ring characteristic frequency and the rotation frequency is as follows:
the characteristic frequency and the rotation frequency of the rolling body are related as follows:
the characteristic frequency and the frequency conversion relation of the cage are as follows:
wherein f isrmN/60, D is the diameter of the rolling body, D is the pitch diameter of the bearing, and α is the contact angle;
7) and determining the vibration loss according to the vibration sources at different positions.
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| CN202010399511.0A CN111577590A (en) | 2020-05-12 | 2020-05-12 | Method for evaluating real-time energy efficiency of Internet of things machine pump |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102589881A (en) * | 2011-12-27 | 2012-07-18 | 马鞍山马钢华阳设备诊断工程有限公司 | Intelligent detection system of special metallurgical vehicle wheel set bearings |
| CN103884502A (en) * | 2014-04-02 | 2014-06-25 | 清华大学 | Method for diagnosing faults of planetary gear system of wind driven generator under variable rotating speed |
| CN105938468A (en) * | 2016-06-07 | 2016-09-14 | 北京交通大学 | Fault diagnosis method for rolling bearing |
| CN107725350A (en) * | 2017-10-09 | 2018-02-23 | 湖南银河电气有限公司 | State monitoring apparatus with the online efficiency evaluation and test of pump |
| CN108757502A (en) * | 2018-05-15 | 2018-11-06 | 江苏大学 | A kind of water pump assembly typical case's health status monitoring device and method based on Internet of Things |
-
2020
- 2020-05-12 CN CN202010399511.0A patent/CN111577590A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102589881A (en) * | 2011-12-27 | 2012-07-18 | 马鞍山马钢华阳设备诊断工程有限公司 | Intelligent detection system of special metallurgical vehicle wheel set bearings |
| CN103884502A (en) * | 2014-04-02 | 2014-06-25 | 清华大学 | Method for diagnosing faults of planetary gear system of wind driven generator under variable rotating speed |
| CN105938468A (en) * | 2016-06-07 | 2016-09-14 | 北京交通大学 | Fault diagnosis method for rolling bearing |
| CN107725350A (en) * | 2017-10-09 | 2018-02-23 | 湖南银河电气有限公司 | State monitoring apparatus with the online efficiency evaluation and test of pump |
| CN108757502A (en) * | 2018-05-15 | 2018-11-06 | 江苏大学 | A kind of water pump assembly typical case's health status monitoring device and method based on Internet of Things |
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Application publication date: 20200825 |
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