CN114048618A - On-line monitoring method and device for process fan of belt roaster - Google Patents
On-line monitoring method and device for process fan of belt roaster Download PDFInfo
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Abstract
The application discloses an online monitoring method and device for a process fan of a belt type roasting machine, which particularly aim to obtain real-time operation parameters of the process fan; and processing the real-time operation parameters based on preset judgment logic, and sending out early warning information according to a processing result. The technical scheme is based on the operation parameters of the process fan and the adaptive threshold model for early warning, and does not depend on experience judgment of operators, so that the process fan is comprehensively and automatically monitored and early warned, and the safe and stable operation of the process fan is ensured.
Description
Technical Field
The application relates to the technical field of automation, in particular to an online monitoring method and device for a process fan of a belt type roasting machine.
Background
The belt type roasting machine is pellet production equipment which is developed rapidly and has mature technology in China at present, has strong adaptability to raw materials and low heat consumption, and is suitable for large-scale and large-scale production. The belt type roasting machine is based on the principle of iron ore powder agglomeration, and realizes the control of the production process by controlling a process fan. The process fans of the belt type roasting machine comprise a cooling fan, an air box regenerative fan, a main induced draft fan, a dry blowing exhaust fan and the like, and the normal operation of the process fans is an important guarantee for guaranteeing the production of the pellets.
At present, during the operation of a process fan, the operation service state of the process fan can only be detected in a manual inspection mode, the operation service state is judged by inspection personnel seriously, only some obvious faults can be detected, the hidden danger of the process fan cannot be found, and therefore the safe and stable operation of the process fan cannot be ensured.
Disclosure of Invention
In view of this, the present application provides an online monitoring method and device for a process fan of a belt roasting machine, which are used for performing comprehensive automatic monitoring and early warning on the process fan to ensure safe and stable operation of the process fan.
In order to achieve the above object, the following solutions are proposed:
an on-line monitoring method for a process fan of a belt type roasting machine comprises the following steps:
acquiring real-time operation parameters of the process fan;
and processing the real-time operation parameters based on preset judgment logic, and sending out early warning information according to a processing result.
Optionally, the real-time operation parameter is part or all of a bearing temperature, a bearing vibration parameter and a stator temperature of a driving motor of the process fan.
Optionally, the real-time operation parameter is a bearing temperature and/or a bearing vibration parameter of a fan bearing in the process fan.
Optionally, the real-time operation data is part or all of the lubricating oil pressure, the lubricating oil flow, the lubricating oil temperature, the lubricating oil level and the opening degree of the air door actuator of the process fan.
Optionally, the processing the real-time operation parameter based on the preset judgment logic, and sending out the early warning information according to the processing result, includes the steps of:
and processing the real-time operation parameters by using a self-adaptive threshold model to obtain the early warning information.
An on-line monitoring device of a process fan of a belt roasting machine, the on-line monitoring device comprising:
a parameter acquisition module configured to acquire real-time operating parameters of the process fan;
and the early warning execution module is configured to process the real-time operation parameters based on preset judgment logic and send out early warning information according to a processing result.
Optionally, the real-time operation parameter is part or all of a bearing temperature, a bearing vibration parameter and a stator temperature of a driving motor of the process fan.
Optionally, the real-time operation parameter is a bearing temperature and/or a bearing vibration parameter of a fan bearing in the process fan.
Optionally, the real-time operation data is part or all of the lubricating oil pressure, the lubricating oil flow, the lubricating oil temperature, the lubricating oil level and the opening degree of the air door actuator of the process fan.
Optionally, the early warning execution module is configured to:
and processing the real-time operation parameters by using a self-adaptive threshold model to obtain the early warning information.
According to the technical scheme, the application discloses an online monitoring method and device for a process fan of a belt type roasting machine, and the method and device are used for specifically acquiring real-time operation parameters of the process fan; and processing the real-time operation parameters based on preset judgment logic, and sending out early warning information according to a processing result. The technical scheme is based on the operation parameters of the process fan and the adaptive threshold model for early warning, and does not depend on experience judgment of operators, so that the process fan is comprehensively and automatically monitored and early warned, and the safe and stable operation of the process fan is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an online monitoring method for a process fan of a belt roasting machine according to an embodiment of the present application;
FIG. 2a is a flow chart of another method for on-line monitoring of a process fan of a straight grate roaster according to an embodiment of the present disclosure;
FIG. 2b is a flow chart of a method for on-line monitoring of a process fan of a straight grate roaster according to an embodiment of the present disclosure;
FIG. 2c is a flow chart of a method for on-line monitoring of a process fan of a straight grate roaster according to an embodiment of the present disclosure;
FIG. 2d is a flow chart of another method for on-line monitoring of the process fan of the straight grate roaster according to the embodiment of the present disclosure;
fig. 3 is a block diagram of an online monitoring device for a process fan of a belt roasting machine according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Example one
Fig. 1 is a flowchart of an online monitoring method for a process fan of a belt roasting machine according to an embodiment of the present application.
As shown in fig. 1, the online monitoring method provided by this embodiment is used for online monitoring of a process fan, and making an early warning based on various real-time operating parameters of the process fan, and specifically includes the following steps:
and S1, acquiring real-time operation parameters of the process fan.
The corresponding part on the process fan is provided with a plurality of monitoring elements or sensors for monitoring the operation parameters of the process fan, and after the monitoring elements or sensors monitor the operation parameters, the operation parameters at the current moment, namely the real-time operation parameters, are obtained from the corresponding monitoring elements or sensors. The real-time operating parameters include, but are not limited to, parameters of the drive motor, parameters of the fan, and parameters of the lubrication oil.
Wherein the parameters of the driving motor include, but are not limited to, part or all of bearing temperature, bearing vibration parameters and stator temperature; parameters of the wind turbine include, but are not limited to, bearing temperature and/or bearing vibration parameters; the parameters of the lubrication oil include, but are not limited to, some or all of lubrication oil pressure, lubrication oil flow, lubrication oil temperature, lubrication oil level, and damper actuator opening.
And S2, processing the real-time operation parameters based on the preset judgment logic to obtain early warning information.
And processing the real-time operation parameters through preset judgment logic on the basis of acquiring the real-time operation parameters, so as to obtain early warning information about relevant parts. Specifically, the method comprises the following steps:
for a driving motor of a process fan, early warning is realized through the following steps, as shown in fig. 2 a.
When the bearing temperature of the driving motor is higher than 80 ℃ and the duration time is longer than or equal to 3s, prompting the fan motor to stop for alarming;
when the temperature of the motor bearing is higher than 70 ℃, the alarm is given for prompting the high temperature of the bearing of the driving motor.
When the vibration of the motor bearing is more than 6mm and the duration is more than or equal to 3s, prompting the fan motor to stop for alarming;
when the vibration of the motor bearing is larger than 3mm, the driving motor is prompted to vibrate highly to give an alarm.
When the temperature of the stator of the fan motor is more than 125 ℃ and the duration time is more than or equal to 3s, prompting the fan motor to stop for alarming;
when the temperature of the stator of the fan motor is higher than 110 ℃, the high temperature of the stator of the driving motor is prompted to give an alarm.
For the blower bearing in the process blower, the early warning is realized through the following steps, as shown in fig. 2 b.
When the bearing temperature of the fan is higher than 80 ℃ and the duration time is longer than or equal to 3s, prompting the fan to stop for alarming;
and when the temperature of the bearing of the fan is higher than 70 ℃, prompting the high temperature of the bearing of the fan to alarm.
When the bearing vibration of the fan is larger than 6mm and the duration time is larger than or equal to 3s, prompting the fan to stop for alarming;
when the vibration of the fan bearing is larger than 3mm, the high vibration alarm of the fan is prompted.
For the lubricating oil of the fan, the early warning is realized through the following steps, as shown in fig. 2 c.
When the oil supply flow corresponding to the rotating speed of the driving end of the fan is less than 10.8L/min, the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1MPa, and the duration time is more than or equal to 60s, or when the oil supply flow corresponding to the rotating speed of the non-driving end of the fan is less than 10.8L/min, the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1MPa, and the lubricating oil pressure of the lubricating oil filter of the fan is more than or equal to 60s, or when the oil supply flow corresponding to the rotating speed of the non-driving end of the motor is less than 6.5L/min, the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1MPa, and the lubricating oil pressure of the lubricating oil filter of the non-driving end of the motor is more than or equal to 60s, the tripping alarm of the oil supply flow of the fan is prompted.
When the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1Mpa and the duration time is more than or equal to 60s, prompting the oil supply pressure of the fan to trip and alarm; or when the lubricating oil pressure of the fan lubricating oil filter is more than 0.1Mpa and the lubricating oil pressure of the high-pressure oil filter is more than 0.3 Mpa; or the oil level exceeds the range, and the oil pressure of the fan is prompted to alarm.
And prompting the fan to alarm the oil supply flow when the oil supply flow corresponding to the rotating speed of the drive end of the fan is less than 10.8L/min or the oil supply flow corresponding to the rotating speed of the non-drive end of the fan is less than 10.8L/min.
And prompting the fan to alarm the oil supply flow when the oil supply flow corresponding to the rotating speed of the drive end of the motor is less than 6.5L/min or the oil supply flow corresponding to the rotating speed of the non-drive end of the motor is less than 6.5L/min.
When the temperature of the fan lubricating oil is more than 50 ℃ after being cooled by the fan cooler, the fan oil supply temperature is prompted to trip for alarming.
When the temperature of the fan lubricating oil is more than 40 ℃ after being cooled by the fan cooler, the temperature of the fan oil supply is prompted to alarm.
When the oil level of the lubricating oil of the fan is lower than the oil level of the 1/3 oil tank, the alarm for the ultralow oil level of the oil tank of the fan is prompted.
When the opening of the fan air door actuator is less than 5% and the duration is more than or equal to 300s, the fan air door actuator is prompted to trip and alarm.
In addition, the embodiment further includes a specific implementation manner that the real-time operation parameters are processed by using the adaptive threshold model to obtain corresponding early warning information, which is specifically shown in fig. 2 d.
The method comprises the steps of establishing an equipment model based on historical data of equipment operation, dynamically adjusting an adaptive threshold historical rule base according to alarm parameter set compensation coefficients set by a data set classification and correlation coefficient method of alarm parameter characteristics by comparing difference between real-time operation data and the equipment model, developing an alarm strategy capable of automatically adjusting a threshold according to working conditions, setting and adjusting an early warning value on the premise of ensuring that alarm of equipment fault nodes is not omitted, improving the quality of alarm every time and avoiding repeated invalid alarm. The early warning quality is greatly optimized to an upper and lower limit alarm mechanism of pure online monitoring, and more accurate and rapid data analysis is provided for equipment fault diagnosis real-time decision.
The self-adaptive threshold model algorithm of the pellet belt type roasting machine process fan is as follows:
Xbook (I): the model calculates the self-adaptive threshold value;
Xon the upper part: the adaptive threshold value calculated by the model last time;
M1: the instruction effective time length is the time length when the actual feedback value reaches the set value after the set value instruction is issued;
M2: the deviation recovery time length is the time length from the actual feedback value of the alarm to the recovery to the set value;
M3: the alarm duration is the duration of the alarm in the abnormal range;
M4: the interval time of two times of alarming and the interval time from the last time of alarming to the current time of alarming;
M5: alarming times in a T time period, and changing the feedback value back and forth to exceed the range times in the appointed T time period;
M6: absolute deviation value in T time period, and standard deviation absolute value in appointed T time period;
K1、K2、K3、K4、K5、K6to correspond to M1、M2、M3、M4、M5、M6Compensation factor of each validation index, and K1+K2+K3+K4+K5+K6＝100％。
The state data of the acquired values of n data densities in the T time period of each current pellet belt type roasting process fan under different working conditions can be respectively calculated by the formula, and the optimal adaptive threshold intelligent alarm threshold value is calculated after continuous optimization, averaging and weighting.
From the technical scheme, the embodiment provides the online monitoring method of the process fan of the belt type roasting machine, and the method is specifically used for acquiring the real-time operation parameters of the process fan; and processing the real-time operation parameters based on preset judgment logic, and sending out early warning information according to a processing result. The technical scheme is based on the operation parameters of the process fan and the adaptive threshold model for early warning, and does not depend on experience judgment of operators, so that the process fan is comprehensively and automatically monitored and early warned, and the safe and stable operation of the process fan is ensured.
Example two
Fig. 3 is a block diagram of an online monitoring device for a process fan of a belt roasting machine according to an embodiment of the present application.
As shown in fig. 3, the online monitoring device provided in this embodiment is used for online monitoring of a process fan, and making an early warning based on various real-time operating parameters of the process fan, and specifically includes a parameter obtaining module 10 and an early warning executing module 20.
The parameter acquisition module is used for acquiring real-time operation parameters of the process fan.
The corresponding part on the process fan is provided with a plurality of monitoring elements or sensors for monitoring the operation parameters of the process fan, and after the monitoring elements or sensors monitor the operation parameters, the operation parameters at the current moment, namely the real-time operation parameters, are obtained from the corresponding monitoring elements or sensors. The real-time operating parameters include, but are not limited to, parameters of the drive motor, parameters of the fan, and parameters of the lubrication oil.
Wherein the parameters of the driving motor include, but are not limited to, part or all of bearing temperature, bearing vibration parameters and stator temperature; parameters of the wind turbine include, but are not limited to, bearing temperature and/or bearing vibration parameters; the parameters of the lubrication oil include, but are not limited to, some or all of lubrication oil pressure, lubrication oil flow, lubrication oil temperature, lubrication oil level, and damper actuator opening.
The early warning execution module is used for processing the real-time operation parameters based on preset judgment logic to obtain early warning information.
And processing the real-time operation parameters through preset judgment logic on the basis of acquiring the real-time operation parameters, so as to obtain early warning information about relevant parts. Specifically, the method comprises the following steps:
for a driving motor of a process fan, early warning is realized through the following steps, as shown in fig. 2 a.
When the bearing temperature of the driving motor is higher than 80 ℃ and the duration time is longer than or equal to 3s, prompting the fan motor to stop for alarming;
when the temperature of the motor bearing is higher than 70 ℃, the alarm is given for prompting the high temperature of the bearing of the driving motor.
When the vibration of the motor bearing is more than 6mm and the duration is more than or equal to 3s, prompting the fan motor to stop for alarming;
when the vibration of the motor bearing is larger than 3mm, the driving motor is prompted to vibrate highly to give an alarm.
When the temperature of the stator of the fan motor is more than 125 ℃ and the duration time is more than or equal to 3s, prompting the fan motor to stop for alarming;
when the temperature of the stator of the fan motor is higher than 110 ℃, the high temperature of the stator of the driving motor is prompted to give an alarm.
For the blower bearing in the process blower, the early warning is realized through the following steps, as shown in fig. 2 b.
When the bearing temperature of the fan is higher than 80 ℃ and the duration time is longer than or equal to 3s, prompting the fan to stop for alarming;
and when the temperature of the bearing of the fan is higher than 70 ℃, prompting the high temperature of the bearing of the fan to alarm.
When the bearing vibration of the fan is larger than 6mm and the duration time is larger than or equal to 3s, prompting the fan to stop for alarming;
when the vibration of the fan bearing is larger than 3mm, the high vibration alarm of the fan is prompted.
For the lubricating oil of the fan, the early warning is realized through the following steps, as shown in fig. 2 c.
When the oil supply flow corresponding to the rotating speed of the driving end of the fan is less than 10.8L/min, the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1MPa, and the duration time is more than or equal to 60s, or when the oil supply flow corresponding to the rotating speed of the non-driving end of the fan is less than 10.8L/min, the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1MPa, and the lubricating oil pressure of the lubricating oil filter of the fan is more than or equal to 60s, or when the oil supply flow corresponding to the rotating speed of the non-driving end of the motor is less than 6.5L/min, the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1MPa, and the lubricating oil pressure of the lubricating oil filter of the non-driving end of the motor is more than or equal to 60s, the tripping alarm of the oil supply flow of the fan is prompted.
When the lubricating oil pressure of the lubricating oil filter of the fan is more than 0.1Mpa and the duration time is more than or equal to 60s, prompting the oil supply pressure of the fan to trip and alarm; or when the lubricating oil pressure of the fan lubricating oil filter is more than 0.1Mpa and the lubricating oil pressure of the high-pressure oil filter is more than 0.3 Mpa; or the oil level exceeds the range, and the oil pressure of the fan is prompted to alarm.
And prompting the fan to alarm the oil supply flow when the oil supply flow corresponding to the rotating speed of the drive end of the fan is less than 10.8L/min or the oil supply flow corresponding to the rotating speed of the non-drive end of the fan is less than 10.8L/min.
And prompting the fan to alarm the oil supply flow when the oil supply flow corresponding to the rotating speed of the drive end of the motor is less than 6.5L/min or the oil supply flow corresponding to the rotating speed of the non-drive end of the motor is less than 6.5L/min.
When the temperature of the fan lubricating oil is more than 50 ℃ after being cooled by the fan cooler, the fan oil supply temperature is prompted to trip for alarming.
When the temperature of the fan lubricating oil is more than 40 ℃ after being cooled by the fan cooler, the temperature of the fan oil supply is prompted to alarm.
When the oil level of the lubricating oil of the fan is lower than the oil level of the 1/3 oil tank, the alarm for the ultralow oil level of the oil tank of the fan is prompted.
When the opening of the fan air door actuator is less than 5% and the duration is more than or equal to 300s, the fan air door actuator is prompted to trip and alarm.
In addition, the embodiment further includes a specific implementation manner that the real-time operation parameters are processed by using the adaptive threshold model to obtain corresponding early warning information, which is specifically shown in fig. 2 d.
The method comprises the steps of establishing an equipment model based on historical data of equipment operation, dynamically adjusting an adaptive threshold historical rule base according to alarm parameter set compensation coefficients set by a data set classification and correlation coefficient method of alarm parameter characteristics by comparing difference between real-time operation data and the equipment model, developing an alarm strategy capable of automatically adjusting a threshold according to working conditions, setting and adjusting an early warning value on the premise of ensuring that alarm of equipment fault nodes is not omitted, improving the quality of alarm every time and avoiding repeated invalid alarm. The early warning quality is greatly optimized to an upper and lower limit alarm mechanism of pure online monitoring, and more accurate and rapid data analysis is provided for equipment fault diagnosis real-time decision.
The self-adaptive threshold model algorithm of the pellet belt type roasting machine process fan is as follows:
Xbook (I): the model calculates the self-adaptive threshold value;
Xon the upper part: the adaptive threshold value calculated by the model last time;
M1: the instruction effective time length is the time length when the actual feedback value reaches the set value after the set value instruction is issued;
M2: the deviation recovery time length is the time length from the actual feedback value of the alarm to the recovery to the set value;
M3: the alarm duration is the duration of the alarm in the abnormal range;
M4: the interval time of two times of alarming and the interval time from the last time of alarming to the current time of alarming;
M5: alarming times in a T time period, and changing the feedback value back and forth to exceed the range times in the appointed T time period;
M6: absolute deviation value in T time period, and standard deviation absolute value in appointed T time period;
K1、K2、K3、K4、K5、K6to correspond to M1、M2、M3、M4、M5、M6Compensation factor of each validation index, and K1+K2+K3+K4+K5+K6＝100％。
The state data of the acquired values of n data densities in the T time period of each current pellet belt type roasting process fan under different working conditions can be respectively calculated by the formula, and the optimal adaptive threshold intelligent alarm threshold value is calculated after continuous optimization, averaging and weighting.
It can be seen from the above technical solutions that, the present embodiment provides an online monitoring device for a process fan of a belt roasting machine, which specifically obtains real-time operating parameters of the process fan; and processing the real-time operation parameters based on preset judgment logic, and sending out early warning information according to a processing result. The technical scheme is based on the operation parameters of the process fan and the adaptive threshold model for early warning, and does not depend on experience judgment of operators, so that the process fan is comprehensively and automatically monitored and early warned, and the safe and stable operation of the process fan is ensured.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The technical solutions provided by the present invention are described in detail above, and the principle and the implementation of the present invention are explained in this document by applying specific examples, and the descriptions of the above examples are only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
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