CN109707659B - Online performance monitoring system for fan - Google Patents
Online performance monitoring system for fan Download PDFInfo
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- CN109707659B CN109707659B CN201910152006.3A CN201910152006A CN109707659B CN 109707659 B CN109707659 B CN 109707659B CN 201910152006 A CN201910152006 A CN 201910152006A CN 109707659 B CN109707659 B CN 109707659B
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Abstract
The invention relates to a fan on-line performance monitoring system, which comprises an industrial personal computer, a data analysis server, a communication server, a fan inlet temperature sensor arranged at a fan inlet, a fan inlet differential pressure measuring device and a fan inlet pressure measuring device which are arranged at a fan inlet air duct, a fan outlet temperature sensor arranged at the downstream of a fan outlet flange, a fan outlet differential pressure measuring device and a fan outlet pressure measuring device which are arranged at a fan outlet air duct, the industrial personal computer is respectively connected with the data analysis server, the fan inlet temperature sensor, the fan inlet differential pressure measuring device, the fan inlet pressure measuring device, the fan outlet temperature sensor, the fan outlet differential pressure measuring device and the fan outlet pressure measuring device, and the data analysis server is connected with the field control system through the communication server. Compared with the prior art, the method has the advantages of improving the monitoring precision of the equipment performance, early warning of tiny abnormity and the like.
Description
Technical Field
The invention relates to the field of fan monitoring of an electric power system, in particular to a fan online performance monitoring system.
Background
The fan is used as a main device for providing a hydrodynamic pressure head of a fluid medium in an industrial system and plays a very critical role in a production process. The fan is widely applied to the industrial industries such as energy, chemical industry, metallurgy and the like, has wide application range and numerous quantity, occupies larger energy consumption in an industrial system, and has large workload of maintenance and repair. On one hand, the operating efficiency of the fan has direct influence on the energy consumption level in the use process; on the other hand, the running efficiency of the fan also reflects the health condition of the equipment, and along with the increase of the running time, the running efficiency of the fan is reduced, and the probability of failure is increased. The shutdown of the fan often has an important influence on the safe operation of the whole system, and in severe cases, the operation of the whole system is abnormal, even the system is shut down, so that great economic loss is caused. In order to avoid the influence on the system caused by abnormal shutdown of the fan, the equipment is inspected and maintained in a regular maintenance mode in the production process. The method firstly generates high overhaul cost, secondly carries out disassembly and assembly overhaul on the equipment with normal performance, increases the risk of new abnormal points in the maintenance process of the equipment, and thirdly crowds limited overhaul cost for invalid inspection and maintenance of the normal equipment, but reduces the targeted investment of the equipment needing to be overhauled and increases the risk of equipment failure.
In general, a daily inspection and maintenance method for fan equipment mainly includes that equipment such as a vibration meter and an audiometer is used for on-site equipment to manually judge the running state of running equipment regularly. And meanwhile, the pressure, temperature, vibration, motor coil temperature measuring points and other measured values at the inlet and the outlet of the fan are monitored. When the parameter values of the outlet pressure, the inlet pressure, the vibration, the current, the temperature and the like of the equipment exceed the alarm range, the operator is reminded to draw attention or limit the output of the equipment. The monitoring methods belong to static monitoring and protective monitoring of equipment, and only when a certain parameter seriously exceeds a set range, an alarm can be given, and at the moment, the equipment is failed or damaged. This method of monitoring the threshold value for a single parameter cannot prevent and prompt an abnormality in the device at an early stage.
Fans, which are the main power devices of industrial systems, are generally in a continuous operation state. Along with the change of environmental parameters, the change of medium flow, temperature and pressure of the system, and the corresponding change of temperature and pressure of the inlet and the outlet of the equipment. The installation location and installation process of the device access measurement apparatus may also vary for different system designs and field installation schemes. Therefore, even if the models of the devices are the same, the operating states of the devices are difficult to judge by comparing the measurement data with each other, and the performance of each device can be judged only by the parameter of the device. The method is one of the main technical difficulties in the online monitoring of the fan performance.
Secondly, the performance of the fan is mainly reflected by the flow rate and the pressure rise of the gas delivered by the fan under the condition of the same input energy, namely the efficiency of the fan. Therefore, the output energy of the fan can be calculated according to the gas flow and the pressure rise data of the fan, but the length of the straight pipe section required by the arrangement of the conventional flow measuring device is difficult to achieve due to the fact that the inlet and outlet pipelines of the fan are limited by the field under the field condition. The installation positions of the temperature and pressure measuring points at the inlet and the outlet of the fan are far away from the positions of the flow measuring points in many times. Therefore, the calculation accuracy of the fan performance is difficult to meet the accuracy requirement of performance monitoring.
Thirdly, the input energy in the fan efficiency calculation process should be calculated based on the effective power output from the driving motor to the fan. The drive motor current detected in actual operation is the total current including the no-load current and the exciting current of the motor, and cannot be directly calculated as the input power of the fan. The power consumption of the fan in the no-load state is also included in the calculated power of the fan, and the no-load power consumption of different fans is different. How to solve the interference of the no-load power to the efficiency calculation and obtain the accurate fan operation efficiency is one of the technical keys of fan performance monitoring.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide an online performance monitoring system for a fan.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a fan on-line performance monitoring system, includes industrial computer, data analysis server, communication server, sets up fan entry temperature sensor at the fan entrance, installs fan entry differential pressure measuring device and fan entry pressure measuring device in fan entry wind channel department, installs fan export temperature sensor in fan export flange low reaches, installs fan export differential pressure measuring device and fan export pressure measuring device in fan export wind channel department, the industrial computer be connected with data analysis server, fan entry temperature sensor, fan entry differential pressure measuring device, fan entry pressure measuring device, fan export temperature sensor, fan export differential pressure measuring device and fan export pressure measuring device respectively, data analysis server pass through communication server and field control system connection.
Fan entry temperature sensor through installing in fan entry flange upper reaches 1m department, be connected with the industrial computer through first temperature transmitter, fan entry differential pressure measuring device install temperature sensor low reaches 200mm position departments on fan entry wind channel to be connected with the industrial computer through first differential pressure transmitter, fan entry pressure measuring device install fan entry differential pressure measuring device low reaches 300mm position departments on fan entry wind channel, and be connected with the industrial computer through first pressure transmitter.
Fan export temperature sensor install in fan export flange low reaches 1m department, be connected with the industrial computer through second temperature transmitter, fan export differential pressure measuring device install fan export temperature sensor upper reaches 200mm position departments on fan export wind channel to be connected with the industrial computer through second differential pressure transmitter, fan export pressure measuring device install fan export differential pressure measuring device upper reaches 300mm position departments on fan export wind channel, and be connected with the industrial computer through second pressure transmitter.
Fan entry temperature sensor and fan export temperature sensor be thermocouple or thermal resistance, fan entry differential pressure measuring device and fan export differential pressure measuring device be matrix cross-section flowmeter or multiple spot average formula differential pressure gauge, fan entry pressure measuring device and fan export pressure measuring device evenly arrange along the wind channel circumferencial direction.
The data storage format in the data analysis server comprises a date field, a time field, a calculation time interval field, a fan inlet temperature field, a fan inlet dynamic pressure field, a fan inlet static pressure field, a fan inlet mass flow field, a fan outlet temperature field, a fan outlet dynamic pressure field, a fan outlet static pressure field, a fan outlet mass flow field, a fan standard flow field, a driving motor voltage field, a driving motor current field, a minimum standard flow fan output power field, a minimum standard flow driving motor power field, a fan ratio efficiency field, a fan standard flow interval sequence number field, a reference fan ratio efficiency field, a fan ratio efficiency deviation field, an operation state field, a communication state field and an extensible field.
A fan online performance monitoring method comprises the following steps:
1) according to the set time interval, the data analysis server calculates the standard flow M of the fan according to the data collected by the industrial personal computer at the frequency of 1 time/minutesStandard flow of harmony wind machineNumber of measurement intervals;
2) calculating reference fan specific efficiency Rfn and reference fan specific efficiency Sfn;
3) calculating the average value Bias of the fan specific efficiency deviation in all intervalsaverWhen the average value Bias of the fan specific efficiency deviation of all the intervalsaverAnd when the fan state is larger than the set value of the system, judging that the fan state is abnormal, otherwise, judging that the fan state is normal.
The fan standard flow MsThe calculation formula of (A) is as follows:
Min＝Ain×vin×ρin
Mout＝Aout×vout×ρout
wherein A isinIs the area of the air duct of the cross section of the position of the measuring point at the inlet of the faninIs the fan inlet gas velocity, pinIs the gas density at the fan inlet temperature and pressure, KinCorrection factor for fan inlet flow meter, Δ PinFor the air flow pressure difference at the inlet of the fan, rho0Is the gas density in the standard state, tinIs the fan inlet gas temperature, pinFor the blower inlet gas pressure, AoutIs the area of the air duct at the position of the measuring point at the outlet of the fanoutIs the fan outlet gas velocity, poutIs the gas density, K, at the outlet temperature and pressure of the fanoutCorrection factor for fan outlet flow meter, Δ PoutDynamic pressure of air flow, t, measured for fan outletoutIs the temperature of the gas at the outlet of the fan, poutIs the fan outlet gas pressure, MinMass flow of the gas at the inlet of the fan, MoutIs the mass flow rate of the gas at the outlet of the fan,
the calculation formula of the fan standard flow interval sequence number is as follows:
where [ ] is the mathematical rounding operator.
The calculation formula of the reference fan specific efficiency Rfn is as follows:
Rfn＝Rfn′+η×ξ
ΔNin＝0.99×ΔPe
ΔPe＝Pe-Pe0
ΔNout＝Nout-Nout0
Nout0＝Ain×vin0×(pout0-pin0)
Nout＝Ain×vin×(pout-pin)
wherein N isoutFor fan output power, poutIs the fan outlet gas pressure, pinIs the fan inlet gas pressure, Nout0For minimum standard flow output power of the fan, vin0For regulating the fan inlet gas velocity, p, when the damper is in a minimum open or fully closed stateout0For regulating the fan outlet gas pressure, p, when the baffle is in the minimum opening or fully closed statein0Adjusting the fan inlet gas pressure, Δ N, to a minimum opening or full-off state of the damperoutFor the output of specific power, P, of the faneThe power of a fan driving motor, U is the driving motor voltage, I is the driving motor current,
designing the power factor, P, for the drive motore0Driving motor power for minimum standard flow of fan, U0For driving the motor at minimum standard flow of the fan, I0Is the current of the driving motor at the minimum standard flow of the fan, delta PeSpecific power, Δ N, of the fan-driving motorinThe input specific power of the fan, η wind is the fan specific efficiency, Rfn' is the value of the reference fan specific efficiency at the last moment, and ξ is the calculation weight of the fan specific efficiency to the reference fan specific efficiency.
The calculation formula of the reference fan specific efficiency Sfn is as follows:
Tn＝Tn′+1
wherein, Sfn 'is the reference fan ratio efficiency value at the last moment, Tn is the update times, and Tn' is the update times at the last moment.
Average Bias of fan specific efficiency deviation (Bias) of all intervalsaverThe calculation formula of (A) is as follows:
Biasn＝Rfn-Sfn
among them, BiasnAnd the fan ratio efficiency deviation of the current interval is obtained.
Compared with the prior art, the invention has the following advantages:
the invention provides a fan on-line performance monitoring system, which obtains reference efficiency and reference efficiency of fan specific efficiency in different standard flow subsection intervals through different weighting calculation methods, calculates the difference value of the reference fan specific efficiency and the reference fan specific efficiency of each standard flow subsection interval, and then calculates the average value to obtain the comprehensive condition. Through real-time monitoring and analysis of the fan ratio efficiency deviation mean value, early warning prompts can be sent to a control system at the initial stage of small abnormity of the fan, the accuracy of equipment performance monitoring is improved, and basic data are provided for state maintenance work.
Drawings
Fig. 1 is a schematic structural diagram of an online fan performance monitoring system.
The notation in the figure is:
1. the fan, 2, driving motor, 3, fan entry temperature sensor, 4, fan entry differential pressure measuring device, 5, fan entry pressure measuring device, 6, fan exit temperature sensor, 7, fan exit differential pressure measuring device, 8, fan exit pressure measuring device, 9, first temperature transmitter, 10, first differential pressure transmitter, 11, first pressure transmitter, 12, second pressure transmitter, 13, second differential pressure transmitter, 14, second temperature transmitter, 15, the industrial computer, 16, data analysis server, 17, communication server.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Examples
In order to make the objects, features and advantages of the present invention more apparent, a detailed description of the embodiments of the present invention will be given below with reference to the accompanying drawings.
In the following description of the embodiments, numerous technical details are set forth in order to provide a thorough understanding of the present invention, and other persons may readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
As shown in fig. 1, in the embodiment, a fan 1 and a driving motor 2 are connected by a rigid coupling. The invention provides an on-line fan performance monitoring system which comprises a fan inlet temperature sensor 3, a fan inlet differential pressure measuring device 4, a fan inlet pressure measuring device 5, a first temperature transmitter 9, a first differential pressure transmitter 10, a first pressure transmitter 11, a fan outlet temperature sensor 6, a fan outlet differential pressure measuring device 7, a fan outlet pressure measuring device 8, a second pressure transmitter 12, a second differential pressure transmitter 13, a second temperature transmitter 14, an industrial personal computer 15 and a data analysis server 16. The data analysis server 16 is connected with the field control system through a communication server 17.
The specific installation and connection mode is as follows:
the fan inlet temperature sensor 3 is arranged at about 1m upstream of a fan inlet flange, is used for measuring the temperature of air at the fan inlet, and is connected to the first temperature transmitter 9 in a wired mode, and the first temperature transmitter 9 is connected to the industrial personal computer 15 in a wired mode; the fan inlet differential pressure measuring device 4 is arranged in a fan inlet air duct, the position 200mm upstream of the first temperature sensor 3 is used for measuring the fan inlet flow, the fan inlet differential pressure measuring device 4 is connected with the first differential pressure transmitter 10 through a stainless steel pipe, and the first differential pressure transmitter 10 is connected to the industrial personal computer 15 in a wired mode; the fan inlet pressure measuring device 5 is arranged in a fan inlet air duct, the position 300mm upstream of the fan inlet differential pressure measuring device 4 is used for measuring the fan inlet airflow pressure, the fan inlet pressure measuring device 5 is connected with the first differential pressure transmitter 11 by a stainless steel pipe, and the first pressure transmitter 11 is connected to the industrial personal computer 15 in a wired mode; the fan outlet temperature sensor 6 is arranged at the position about 1m downstream of a fan outlet flange, is used for measuring the temperature of the fan outlet gas, and is connected to the second temperature transmitter 14 in a wired mode, and the second temperature transmitter 14 is connected to the industrial personal computer 15 in a wired mode; the fan outlet differential pressure measuring device 7 is arranged in a fan outlet air duct, the position 200mm upstream of the fan outlet temperature sensor 6 is used for measuring the fan outlet flow, the fan outlet differential pressure measuring device 7 is connected with a second differential pressure transmitter 13 by a stainless steel pipe, and the second differential pressure transmitter 13 is connected to an industrial personal computer 15 in a wired mode; the fan outlet pressure measuring device 8 is installed in a fan outlet air duct, the position of 300mm on the upper stream of the differential pressure measuring device 7 is used for measuring the air flow pressure at the outlet of the fan, the fan outlet pressure measuring device 8 is connected with the second differential pressure transmitter 12 through a stainless steel pipe, the second pressure transmitter 12 is connected to the industrial personal computer 15 in a wired mode, the industrial personal computer 15 is connected to the data analysis server 16 in a wired mode, and the data analysis server 16 is connected to the field communication server 17 in a wired mode.
The temperature sensor can adopt a thermocouple or a thermal resistor and is connected with the air duct in a threaded or flange mode, the insertion depth of the temperature sensor is not less than 200mm, the temperature sensor is provided with an ambient temperature compensation function module, the temperature measurement range of the temperature sensor covers all temperature ranges of the fan conveying gas, the sensor precision is 0.1% FS, the temperature sensor is provided with a detection report of a measurement research institute, and the temperature transmitter adopts a transmitter with a 4-20 mA current output function. The differential pressure measuring device adopts a matrix type cross-section flowmeter or a multipoint average type differential pressure meter, the diameter of a measuring pipeline of the differential pressure measuring device is not more than 20mm, the differential pressure measuring range is 0-3000 Pa, the precision of the differential pressure transmitter is 0.1% FS, and the differential pressure transmitter adopts a transmitter with a 4-20 mA current output function. The pressure measurement device can adopt static pressure tubes which are uniformly arranged along the circumferential direction of the air duct and are communicated with each other, the diameter of each static pressure tube is 15-20 mm, the diameter of each communicating tube is not less than 30mm, each static pressure tube is connected with the air duct through a flange or a welding mode, each static pressure communicating tube is connected to a pressure transmitter through a stainless steel tube, the pressure measurement range is 0-100 KPa, the precision of the pressure transmitter is 0.1% FS, and the pressure transmitter adopts a transmitter with a 4-20 mA current output function.
The industrial personal computer 15 collects the temperature, differential pressure and pressure data in real time according to a certain time period, and transmits the data to the data analysis server 16 for data storage, calculation and updating. The industrial personal computer 15 and the data analysis server 16 judge whether the communication between the industrial personal computer 15 and the data analysis server 16 is normal through a preset communication monitoring program, if the communication is abnormal, the data analysis server and the communication server send a communication abnormal alarm to the field control system, and a technician is prompted to check.
According to one embodiment of the present invention, the data storage format in the data analysis server 16 includes a date field, a time field, a calculation time interval field, a fan inlet temperature field, a fan inlet dynamic pressure field, a fan inlet static pressure field, a fan inlet mass flow field, a fan outlet temperature field, a fan outlet dynamic pressure field, a fan outlet static pressure field, a fan outlet mass flow field, a fan standard flow field, the system comprises a driving motor voltage field, a driving motor current field, a minimum standard flow fan output power field, a minimum standard flow driving motor power field, a fan ratio efficiency field, a fan standard flow interval sequence number field, a reference fan ratio efficiency field, a fan ratio efficiency deviation field, an operation state field, a communication state field and an extensible field.
The embodiment of the invention provides a fan performance monitoring method, which adopts a system shown in FIG. 1 and comprises the following steps:
step 1: and according to the time interval set by the system, the data analysis server calculates the standard flow of the fan according to the data acquired by the industrial personal computer at the frequency of 1 time/minute. The method comprises the following steps of respectively calculating the air mass flow of an inlet and an outlet of the air outlet machine by using the temperature, the differential pressure and the pressure of the inlet and the outlet of the air outlet machine, which are acquired by an industrial personal computer, and then averaging the mass flow of the inlet and the outlet of the air outlet machine to obtain the standard flow of the air outlet machine, wherein the standard flow of the air:
[1] calculating the density of the gas at the inlet of the fan and the density of the gas at the outlet of the fan, and determining the density of the gas at the inlet of the fan and the density of the gas at the outlet of the fan according to the density of the gas in a standard state, the temperature of the gas at the inlet of the fan and the pressure of the gas at the inlet of the fan, which are measured by the measuring system (hereinafter referred to as the system), according to the calculation methods shown in formula 1 and formula 2:
where ρ isinIs the fan inlet temperature and pressureLower gas density in kg/m3，ρ0Is the gas density in kg/m, t in the standard stateinThe temperature of the gas at the inlet of the fan is measured in units of DEG C, and the numerical value of the temperature is equal to the average value of the measurement results of each temperature measurement point of the air duct at the inlet of the fan; p is a radical ofinThe unit is kPa, and the numerical value is equal to the average value of the measurement results of each pressure measurement point of the air duct at the inlet of the fan;
where ρ isouρIs the gas density in kg/m at the outlet temperature and pressure of the fan3，ρ0Is the gas density in kg/m in the standard state3，toutThe temperature of the gas at the outlet of the fan is measured in units of temperature; the value of the temperature measurement value is equal to the average value p of the measurement results of the temperature measurement points of the air duct at the outlet of the fanoutIs the blower outlet gas pressure in kPa; the numerical value of the pressure measurement value is equal to the average value of the measurement results of the pressure measurement points of the air duct at the outlet of the fan;
[2] calculating the flow velocity of air at the inlet and the outlet of the fan, determining the air velocity at the inlet and the outlet of the fan according to the differential pressure correction coefficient of the matrix cross-section flow meters respectively arranged in the air inlet and the outlet measuring devices of the system, the flow differential pressure of the air at the inlet and the outlet of the fan and the calculated air density at the inlet and the outlet of the fan, wherein the calculating method is as the following formula 3 and formula 4:
wherein v isinIs the fan inlet gas velocity in m/s; rhoinIs the gas density in kg/m at the inlet temperature and pressure of the fan3，KinIs correction coefficient of flow meter at inlet of fan, no unit, delta PinThe unit is Pa, and the numerical value of the pressure difference is equal to the average value of the measurement results of the differential pressure measurement points of the air duct at the inlet of the fan;
wherein v isoutIs the speed of the gas at the outlet of the fan, and the unit is m/s; rhooutIs the gas density in kg/m at the outlet temperature and pressure of the fan3，KoutIs correction coefficient of flow meter at outlet of fan, no unit, delta PoutThe unit is Pa, and the numerical value of the dynamic pressure is equal to the average value of the measurement results of the differential pressure measurement points of the air duct at the outlet of the fan;
[3] calculating the standard flow of the fan, and determining the mass flow of the gas at the inlet of the fan according to the area of the air channel at the inlet of the fan, the gas speed at the inlet of the fan calculated by the method and the gas density at the inlet of the fan; determining the mass flow of the gas at the outlet of the fan according to the area of the air channel at the outlet of the fan, the speed of the gas at the outlet of the fan calculated by the method and the density of the gas at the outlet of the fan; adding the mass flow of the gas at the inlet of the fan and the mass flow of the gas at the outlet of the fan, and dividing by 2 to obtain the standard flow of the fan, wherein the calculation method is as shown in formula 5, formula 6 and formula 7:
Min＝Ain×vin×ρinequation 5
Wherein M isinThe unit is kg/s, and the mass flow of gas at the inlet of the fan is measured; a. theinIs the area of the air duct on the cross section of the position of the measuring point at the inlet of the fan, and the unit is m2，vinIs the fan inlet gas velocity in m/s;inis the gas density in kg/m at the inlet temperature and pressure of the fan3；
Mout＝Aout×vout×ρoutEquation 6
Wherein M isoutThe mass flow of the gas at the outlet of the fan is kg/s; a. theoutIs the area of the air duct on the cross section of the position of the outlet measuring point of the fan, and the unit is m2，voutIs the speed of the gas at the outlet of the fan, and the unit is m/s; rhooutIs the gas density in kg/m at the outlet temperature and pressure of the fan3；
Wherein M issIs the standard flow of the fan, and the unit is kg/s.
[4] Calculating the interval serial number of the fan standard flow, in this embodiment, when the fan adjusting baffle is located at the minimum opening, the fan standard flow measured by the system is used as the fan minimum standard flow, 110% of the maximum mass flow allowed by the fan design is used as the fan maximum standard flow, and according to the fan standard flow, the fan minimum standard flow and the fan maximum standard flow determined by the method, the fan standard flow interval serial number is determined, and the calculation is as in formula 8:
note: in the formula, [ ] is a mathematical rounding operator, meaning that numbers in [ ] are rounded, such as [2.3] ═ 2.
Step 2: calculating the output power of the fan, and determining the output power of the fan according to the air passage area of the installation position of the fan inlet measuring device and the airflow speed of the fan inlet determined by the method, the fan outlet gas pressure and the fan inlet gas pressure measured by the measuring device of the system, wherein the calculating method is as the formula 9:
Nout＝Ain×vin×(pout-pin) Equation 9
Wherein N isoutThe unit is kW; a. theinThe area of the air channel at the installation position of the fan inlet measuring device is m2，vinIs the fan inlet gas velocity in m/s; p is a radical ofoutIs the pressure of the gas at the outlet of the fan in kPa, pinIs the blower inlet gas pressure in kPa;
step 3: calculating the minimum standard flow output power of the fan, and determining the minimum standard flow output power of the fan according to the air passage area of the installation position of the fan inlet measuring device and the air flow speed of the fan inlet determined by the method, the air pressure of the fan outlet and the air pressure of the fan inlet measured by the system measuring device when the fan adjusting baffle is in the minimum opening or the full-closed state, wherein the calculating method is as the formula 10:
Nout0＝Ain×vin0×(pout0-pin0) Equation 10
Wherein N isout0The minimum standard flow output power of the fan is kW;
Ainis the air duct area of the installation position of the fan inlet measuring device, and the unit is m2，vin0When the fan adjusting baffle is in a minimum opening or a full-closed state, the unit of the gas speed at the inlet of the fan is m/s; p is a radical ofout0When the fan adjusting baffle is in a minimum opening or a full-closed state, the unit of the gas pressure at the outlet of the fan is kPa; p is a radical ofin0When the fan adjusting baffle is in a minimum opening or a full-closed state, the unit of the gas pressure at the inlet of the fan is kPa;
step 4: calculating the output specific power of the fan, determining the output specific power of the fan according to the fan output power determined by the method and the output power of the minimum standard flow of the fan, wherein the calculation method is as shown in a formula 11:
ΔNout＝Nout-Nout0equation 11
Wherein, Δ NoutThe unit is kW;
Noutthe unit is kW; n is a radical ofout0The unit is kW;
step 5: calculating the power of the fan driving motor, determining the power of the fan driving motor according to the voltage and current of the fan driving motor and the designed power factor of the driving motor, which are obtained by the data calculation server from the field communication server, wherein the calculation method is as shown in formula 12
Wherein, PeIs the driving motor power, in kW; u is the drive motor voltage in kV; i is driving motorStream, in units of A;
is the drive motor design power factor;
step 6: calculating the power of the fan minimum standard flow driving motor, and when the fan adjusting baffle is in a minimum opening or a full-closed state, determining the power of the fan minimum standard flow driving motor according to the voltage and the current of the fan driving motor and the designed power factor of the driving motor, which are obtained by a data calculation server from a field communication server, wherein the calculation method is as in formula 13:
wherein, Pe0The minimum standard flow of the fan drives the motor power, and the unit is kW; u shape0The unit is kV, when the fan has minimum standard flow, the voltage of a driving motor is; i is0The unit is A when the fan has the minimum standard flow and drives the motor current;
is the power factor for the drive motor design;
step 7: calculating the specific power of the fan driving motor, determining the specific power of the fan driving motor according to the power of the fan driving motor determined by the method and the power of the fan minimum standard flow driving motor, wherein the calculation method is as the formula 14:
ΔPe＝Pe-Pe0equation 14
Wherein, Δ PeIs the specific power of the driving motor, and the unit is kW; peIs the power of the driving motor, in kW; pe0The unit is kW, and the power of a fan minimum flow driving motor is obtained;
step 8: calculating the input specific power of the fan, determining the input specific power of the fan according to the specific power of the fan driving motor determined by the method, wherein the calculation method is as the formula 15:
ΔNin＝0.99×ΔPeequation 15
Wherein, Δ PeIs the specific power of the driving motor, and the unit is kW; delta NinThe unit is kW;
step 9: calculating the specific efficiency of the fan, and determining the specific efficiency of the fan according to the calculated output specific power and input specific power of the fan, wherein the calculation method is as the formula 16:
wherein η is the specific efficiency of the fan, and the unit is%outThe unit is kW; delta NinThe unit is kW;
step 10: and calculating the specific efficiency of the reference fan. And determining the reference fan ratio efficiency according to the calculated fan ratio efficiency and the reference fan ratio efficiency at the previous moment by taking the reference fan ratio efficiency corresponding to the fan standard flow interval sequence number (n) calculated by the Step1 as a numerical value of the reference fan ratio efficiency at the previous moment, wherein the calculation method is shown in a formula 17. And then, updating the reference fan ratio efficiency data corresponding to the fan standard flow interval sequence number (n) by using the reference fan ratio efficiency calculation value.
Rfn ═ Rfn' + n × ξ formula 17
Wherein η is the fan specific efficiency in units, Rfn is a calculated value of the reference fan specific efficiency in units, Rfn' is a numerical value of the reference fan specific efficiency at the last moment in units, and ξ is a calculated weight of the fan specific efficiency to the reference fan specific efficiency;
step 11: and calculating the specific efficiency of the reference fan. And taking the fan standard flow interval serial number (n) calculated by the Step1, and taking the reference fan specific efficiency corresponding to the fan standard flow interval serial number (n) as the value of the reference fan specific efficiency at the last moment, and taking the updating times corresponding to the fan standard flow interval serial number (n) as the value of the updating times at the last moment. And determining the specific efficiency and the updating times of the reference fan according to the calculated specific efficiency of the fan, the specific efficiency of the reference fan at the last moment and the updating times at the last moment, wherein the calculation method is as shown in a formula 18 and a formula 19. And then, updating the reference fan specific efficiency data and the updating times data corresponding to the fan standard flow interval sequence number (n) by using the reference fan specific efficiency and the updating times.
Wherein η is the fan specific efficiency with unit of percent, Sfn is the calculated value of the reference fan specific efficiency with unit of percent, Sfn' is the numerical value of the reference fan specific efficiency at the last moment with unit of percent;
tn + Tn' +1 equation 19
Wherein Tn is the number of updates; tn' is the last update time;
step 12: calculating the average value of the fan ratio efficiency deviation of all the sections, and determining the average value of the fan ratio efficiency deviation of all the sections according to the reference fan ratio efficiency and the reference fan ratio efficiency corresponding to the fan standard flow section serial number of 2-50, wherein the calculation method is as the formula 20 and the formula 21:
BiasnRfn-Sfn equation 20
Among them, BiasaverThe deviation average value of the specific efficiency of the fans in all the intervals is calculated, and the unit is percent; biasnThe unit is the specific efficiency deviation of the fan in the current interval; rfn is the reference fan specific efficiency in%; sfn is the baseline fan specific efficiency in units;
and when the average value of the fan specific efficiency deviation of all the intervals is larger than the set value of the system, judging that the fan state is abnormal, otherwise, judging that the fan state is normal.
Specifically, the data analysis server calculates, stores and updates data obtained through the industrial personal computer 15 and the communication server 17 by adopting a fixed frequency according to a time interval set by the system; if communication interruption and other abnormalities occur in the calculation process, the data analysis server can reserve the calculation result at the previous moment and suspend data storage and updating; continuing to calculate after the communication is recovered to normal; the system does not need to be initialized and updated after communication is recovered. The present embodiment employs a calculation time interval of 60 seconds. In Step1, when calculating the fan standard flow rate, the standard state used is the gas state under the system setting conditions as the standard state in the calculation, for example, the density of the standard gas state at the temperature of 20 ℃ and the pressure of 101.3KPa can be set for air, and the density of the standard gas state at the temperature of 100 ℃ and the pressure of 101.3KPa can be set for gas with high water vapor concentration content such as flue gas. In this embodiment, the gas medium of the fan is air, the temperature is set to 20 ℃, and the gas density in the standard state, which is the standard air density, is set at a pressure of 101.3 KPa. Under different environmental conditions and with the change of the temperature of the fan system and under the same process system requirement, the volume flow of the inlet and the outlet of the fan obtained by calculating the temperature, the pressure and the dynamic pressure of the inlet and the outlet of the fan can generate large change, and the interference is generated on the statistical analysis of data. In the method, the average value of the mass flow of the fans at the inlet and the outlet of the fan is used as the standard flow, so that the interference of environmental change on data analysis is reduced; the average value of the inlet and outlet flow is used as the standard flow, so that the influence of the elbow of the fan pipeline system on the data measurement deviation is reduced. In one embodiment of the invention, the working condition of the minimum opening of the fan regulating baffle is used as the working condition of the minimum standard flow of the fan, and 110% of the designed maximum mass flow of the fan is used as the maximum standard flow of the fan. The serial number of the fan standard flow subsection interval is a subsection interval mark of the fan standard flow, and the performance state monitoring and fault diagnosis interference caused by the fan efficiency change under different flows is avoided by carrying out statistics and comparative analysis on the fan standard flow subsection interval. In the embodiment, 2% of the maximum standard flow and the minimum standard flow of the fan are used as the interval of the subsection intervals, so that the data analysis precision is ensured, and the data storage capacity is reduced.
In Step2, the output power of the fan is calculated and determined according to a standard calculation method.
In Step3, the minimum standard flow output power of the fan is calculated and determined according to a standard calculation method. In this embodiment, the minimum opening condition of the fan regulating baffle is adopted as the minimum standard flow condition of the fan, and the fully closed condition of the fan inlet baffle can also be adopted as the minimum standard flow condition according to different regulating modes of the fan system.
In Step4, determining the output ratio power of the fan according to the difference between the output power of the fan calculated by the method and the minimum standard flow output power of the fan. The specific power of the fan calculated by the method represents the actual output relative power under the effective regulation capacity of the fan, the interference of the no-load power consumption or the invalid regulation power of the fan on the calculation result is avoided by deducting the output power of the fan with the minimum standard flow of the fan, and the precision of performance calculation is ensured.
In Step5, determining the power of the driving motor according to the voltage and current of the fan driving motor and the designed power factor of the driving motor, which are obtained by the data analysis server from the field communication server. The data measured by the on-site meter is adopted for calculation, so that the consistency of the data of the system and the on-site control system is improved on one hand, and the repeated investment of the system is reduced on the other hand.
In Step6, the minimum standard flow of the fan drives the motor power according to the standard calculation method. In the embodiment, the minimum opening working condition of the fan adjusting baffle is used as the minimum standard flow working condition of the fan, and the average value of the parameters of the driving motor in 3 minutes is used as a calculation value under the working condition.
In Step7, determining the output specific power of the driving motor according to the difference between the power of the driving motor and the power of the driving motor with the minimum standard flow of the fan.
In Step8, the input specific power of the fan is determined in consideration of the transmission efficiency based on the specific power of the drive motor. In the embodiment, the fan and the driving motor are connected in a rigid mode, the coupler ignores energy consumption in the transmission process, and the calculation coefficient of 0.99 is the energy consumption in the process of transmitting energy from the stator of the driving motor to the rotor. This coefficient varies depending on the efficiency of the drive motor.
And in Step9, determining the specific efficiency of the fan according to the calculated output specific power and input specific power of the fan. The fan specific efficiency determined by the method substantially reflects the fan specific efficiency calculated by the relative energy output of the fan and the relative energy output of the driving motor in the range of the adjusting interval of the fan. The method is characterized in that the influence of no-load power on the calculation accuracy is eliminated by a relative calculation method.
In Step10, taking the reference fan ratio efficiency corresponding to the fan standard flow interval sequence number (n) calculated in Step1 as a numerical value of the reference fan ratio efficiency at the previous moment, and performing weighted average calculation according to the fan ratio efficiency calculated in Step9 and the reference fan ratio efficiency at the previous moment to determine the reference fan ratio efficiency. In the embodiment, the fan specific efficiency adopts the calculation weight of 0.01, the size of the weight determines the updating speed, the data stability and the data lag time of the reference fan specific efficiency, the larger the calculation weight is, the faster the data is updated, the stability of the data is reduced, and the lag time is reduced; conversely, the slower the data update speed, the higher the data stability and the longer the lag time. Reasonable calculation weight has important influence on performance monitoring quality.
In Step11, the standard fan ratio efficiency corresponding to the fan standard flow interval number (n) is used as the value of the standard fan ratio efficiency at the previous moment, and the number of updates corresponding to the fan standard flow interval number (n) is used as the value of the number of updates at the previous moment, with the fan standard flow interval number (n) calculated in Step 1. And determining the specific efficiency and the updating times of the reference fan according to the calculated specific efficiency of the fan, the specific efficiency of the reference fan at the last moment and the updating times at the last moment, and updating the specific efficiency and the updating times of the original reference fan. The reference fan specific efficiency reflects the statistical average of fan specific efficiencies within each flow interval.
In Step12, determining the average value of the deviation of the fan ratio efficiency of all the intervals according to the reference fan ratio efficiency and the reference fan ratio efficiency corresponding to the fan standard flow interval serial number of 2-50. The problem of performance analysis result distortion caused by data abnormity of individual flow intervals is effectively avoided by calculating the deviation average value. According to the embodiment of the invention, the problem of abnormal analysis data caused by dynamic data distortion in the fan adjusting process is effectively solved by using the analysis method of the deviation average value.
In one embodiment of the present invention, the data storage format adopted in the data analysis server 16 includes a date field, a time field, a calculation time interval field, a fan inlet temperature field, a fan inlet dynamic pressure field, a fan inlet static pressure field, a fan inlet mass flow field, a fan outlet temperature field, a fan outlet dynamic pressure field, a fan outlet static pressure field, a fan outlet mass flow field, and a fan standard flow field, the system comprises a driving motor voltage field, a driving motor current field, a minimum standard flow fan output power field, a minimum standard flow driving motor power field, a fan ratio efficiency field, a fan standard flow interval sequence number field, a reference fan ratio efficiency field, a fan ratio efficiency deviation field, an operation state field, a communication state field and an extensible field. When the capacity of the data stored in the data analysis server 16 exceeds the maximum allowable storage capacity of the database, the system automatically eliminates the oldest data, so as to meet the technical requirement of continuously storing the data.
The present invention is disclosed in the embodiments, but it is not limited to the claims, and other persons can make modifications and changes without departing from the principle and scope of the present invention, therefore, the protection scope of the present invention should be subject to the scope defined by the claims.
Claims (9)
1. A fan online performance monitoring system is characterized by comprising an industrial personal computer (15), a data analysis server (16), a communication server (17), a fan inlet temperature sensor (3) arranged at a fan inlet, a fan inlet differential pressure measuring device (4) and a fan inlet pressure measuring device (5) arranged at a fan inlet air duct, a fan outlet temperature sensor (6) arranged at the downstream of a fan outlet flange, a fan outlet differential pressure measuring device (7) and a fan outlet pressure measuring device (8) arranged at a fan outlet air duct, wherein the industrial personal computer (15) is respectively connected with the data analysis server (16), the fan inlet temperature sensor (3), the fan inlet differential pressure measuring device (4), the fan inlet pressure measuring device (5), the fan outlet temperature sensor (6), the fan outlet differential pressure measuring device (7) and the fan outlet pressure measuring device (8), the data analysis server (16) is connected with the field control system through a communication server (17);
the monitoring method of the on-line performance monitoring system of the fan comprises the following steps:
1) according to the set time interval, the data analysis server calculates the standard flow M of the fan according to the data collected by the industrial personal computer at the frequency of 1 time/minutesAnd the serial number of the fan standard flow interval;
2) calculating reference fan specific efficiency Rfn and reference fan specific efficiency Sfn;
3) calculating the average value Bias of the fan specific efficiency deviation in all intervalsaverWhen the average value Bias of the fan specific efficiency deviation of all the intervalsaverAnd when the fan state is larger than the set value of the system, judging that the fan state is abnormal, otherwise, judging that the fan state is normal.
2. The fan online performance monitoring system according to claim 1, wherein the fan inlet temperature sensor (3) is connected with the industrial personal computer (15) through a first temperature transmitter (9) by being installed at 1m upstream of a fan inlet flange, the fan inlet differential pressure measuring device (4) is installed at 200mm downstream of the temperature sensor (3) on a fan inlet air duct and is connected with the industrial personal computer (15) through a first differential pressure transmitter (10), the fan inlet pressure measuring device (5) is installed at 300mm downstream of the fan inlet differential pressure measuring device (4) on the fan inlet air duct and is connected with the industrial personal computer (15) through a first pressure transmitter (11).
3. The fan online performance monitoring system according to claim 2, wherein the fan outlet temperature sensor (6) is installed at 1m downstream of the fan outlet flange and connected with the industrial personal computer (15) through a second temperature transmitter (14), the fan outlet differential pressure measuring device (7) is installed at 200mm upstream of the fan outlet temperature sensor (6) on the fan outlet air duct and connected with the industrial personal computer (15) through a second differential pressure transmitter (13), and the fan outlet pressure measuring device (8) is installed at 300mm upstream of the fan outlet differential pressure measuring device (7) on the fan outlet air duct and connected with the industrial personal computer (15) through a second pressure transmitter (12).
4. The fan online performance monitoring system according to claim 1, wherein the fan inlet temperature sensor (3) and the fan outlet temperature sensor (6) are thermocouples or thermal resistors, the fan inlet differential pressure measuring device (4) and the fan outlet differential pressure measuring device (7) are matrix-type cross-section flow meters or multipoint average differential pressure meters, and the fan inlet pressure measuring device (5) and the fan outlet pressure measuring device (8) are uniformly arranged along the circumferential direction of the air duct.
5. The fan on-line performance monitoring system according to claim 1, wherein the data analysis server (16) stores data formats including a date field, a time field, a calculation time interval field, a fan inlet temperature field, a fan inlet dynamic pressure field, a fan inlet static pressure field, a fan inlet mass flow field, a fan outlet temperature field, a fan outlet dynamic pressure field, a fan outlet static pressure field, a fan outlet mass flow field, a fan standard flow field, a drive motor voltage field, a drive motor current field, a minimum standard flow fan output power field, a minimum standard flow drive motor power field, a fan ratio efficiency field, a fan standard flow interval number field, a reference fan ratio efficiency field, a fan ratio efficiency deviation field, a fan inlet temperature field, a fan outlet dynamic pressure field, a fan outlet static pressure field, a fan outlet mass flow field, an operational status field, a communication status field, and an extensible field.
6. The on-line fan performance monitoring system according to claim 1, wherein in the step 1), the fan standard flow MsThe calculation formula of (A) is as follows:
Min＝Ain×vin×ρin
Mout＝Aout×vout×ρout
wherein A isinIs the area of the air duct of the cross section of the position of the measuring point at the inlet of the faninIs the fan inlet gas velocity, pinIs the gas density at the fan inlet temperature and pressure, KinCorrection factor for fan inlet flow meter, Δ PinFor the air flow pressure difference at the inlet of the fan, rho0Is the gas density in the standard state, tinIs the fan inlet gas temperature, pinFor the blower inlet gas pressure, AoutIs the area of the air duct at the position of the measuring point at the outlet of the fanoutIs the fan outlet gas velocity, poutIs the gas density, K, at the outlet temperature and pressure of the fanoutCorrection factor for fan outlet flow meter, Δ PoutDynamic pressure of air flow, t, measured for fan outletoutIs the temperature of the gas at the outlet of the fan, poutIs the fan outlet gas pressure, MinMass flow of the gas at the inlet of the fan, MoutIs the mass flow rate of the gas at the outlet of the fan,
the calculation formula of the fan standard flow interval sequence number is as follows:
where [ ] is the mathematical rounding operator.
7. The system according to claim 6, wherein in the step 2), the calculation formula of the reference fan specific efficiency Rfn is:
Rfn＝Rfn′+η×ξ
ΔNin＝0.99×ΔPe
ΔPe＝Pe-Pe0
ΔNout＝Nout-Nout0
Nout0＝Ain×vin0×(pout0-pin0)
Nout＝Ain×vin×(pout-pin)
wherein N isoutFor fan output power, poutIs the fan outlet gas pressure, pinIs the fan inlet gas pressure, Nout0For minimum standard flow output power of the fan, vin0For regulating the fan inlet gas velocity, p, when the damper is in a minimum open or fully closed stateout0For regulating the fan outlet gas pressure, p, when the baffle is in the minimum opening or fully closed statein0Adjusting the fan inlet gas pressure, Δ N, to a minimum opening or full-off state of the damperoutFor the output of specific power, P, of the faneThe power of a fan driving motor, U is the driving motor voltage, I is the driving motor current,
designing the power factor, P, for the drive motore0Driving motor power for minimum standard flow of fan, U0For driving the motor at minimum standard flow of the fan, I0Is the current of the driving motor at the minimum standard flow of the fan, delta PeSpecific power, Δ N, of the fan-driving motorinThe input specific power of the fan, η wind is the fan specific efficiency, Rfn' is the value of the reference fan specific efficiency at the last moment, and ξ is the calculation weight of the fan specific efficiency to the reference fan specific efficiency.
8. The system according to claim 7, wherein in the step 2), the calculation formula of the reference fan specific efficiency Sfn is:
Tn＝Tn′+1
wherein, Sfn 'is the reference fan ratio efficiency value at the last moment, Tn is the update times, and Tn' is the update times at the last moment.
9. The system for monitoring the on-line performance of the fan as claimed in claim 8, wherein in the step 3), the average Bias of the specific efficiency of the fan in all the intervals is BiasaverThe calculation formula of (A) is as follows:
Biasn＝Rfn-Sfn
among them, BiasnThe specific efficiency of the fan is biased for the current intervalAnd (4) poor.
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| CN110672198B (en) * | 2019-08-26 | 2021-08-17 | 华电电力科学研究院有限公司 | Boiler flue gas and air system vibration fault diagnosis method |
| CN114743702B (en) * | 2022-04-19 | 2024-02-23 | 华能山东石岛湾核电有限公司 | Method for debugging main helium fan of high-temperature gas cooled reactor nuclear power station |
| CN116816716B (en) * | 2023-08-30 | 2023-11-21 | 苏州汇川控制技术有限公司 | Fan system control method, frequency converter, fan system and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US1640477A (en) * | 1924-10-01 | 1927-08-30 | Robertson Co H H | Testing apparatus for ventilators |
| CN2047373U (en) * | 1988-10-12 | 1989-11-08 | 南京长江教科文开发公司 | Experimental device for ventilation |
| CN201359570Y (en) * | 2009-01-15 | 2009-12-09 | 上海佐竹冷热控制技术有限公司 | Air volume testing device capable of changing blowing-in mode |
| CN103336735A (en) * | 2013-07-18 | 2013-10-02 | 国家电网公司 | On-line monitoring system for energy efficiency of blowers and water pumps |
| CN105277350A (en) * | 2015-10-27 | 2016-01-27 | 林蓉瑶 | Fan performance monitoring experiment device |
| CN106370388A (en) * | 2016-12-05 | 2017-02-01 | 山东厚丰汽车散热器有限公司 | Automobile heat dissipation performance test system and automobile heat dissipation performance test method |
| CN206738207U (en) * | 2017-05-03 | 2017-12-12 | 湖南科技大学 | A kind of Wet-type dust-removal fan Performance Test System |
-
2019
- 2019-02-28 CN CN201910152006.3A patent/CN109707659B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US1640477A (en) * | 1924-10-01 | 1927-08-30 | Robertson Co H H | Testing apparatus for ventilators |
| CN2047373U (en) * | 1988-10-12 | 1989-11-08 | 南京长江教科文开发公司 | Experimental device for ventilation |
| CN201359570Y (en) * | 2009-01-15 | 2009-12-09 | 上海佐竹冷热控制技术有限公司 | Air volume testing device capable of changing blowing-in mode |
| CN103336735A (en) * | 2013-07-18 | 2013-10-02 | 国家电网公司 | On-line monitoring system for energy efficiency of blowers and water pumps |
| CN105277350A (en) * | 2015-10-27 | 2016-01-27 | 林蓉瑶 | Fan performance monitoring experiment device |
| CN106370388A (en) * | 2016-12-05 | 2017-02-01 | 山东厚丰汽车散热器有限公司 | Automobile heat dissipation performance test system and automobile heat dissipation performance test method |
| CN206738207U (en) * | 2017-05-03 | 2017-12-12 | 湖南科技大学 | A kind of Wet-type dust-removal fan Performance Test System |
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