CN115470946A - Equipment maintenance method and device, electronic equipment and storage medium - Google Patents
Equipment maintenance method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a device maintenance method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a current value and historical fault information of at least one operating parameter of equipment; generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value characterizing a degree of degradation of the device by changes in the at least one operating parameter; generating a second degradation value based on the historical fault information, the second degradation value characterizing a degree of degradation of the device affected by the fault condition; generating a third degradation value based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degree of degradation of the device. So, the whole degradation degree of acquireing equipment that can be more accurate to can in time maintain equipment based on this third degradation value, the number of times of the invalid maintenance of greatly reduced improves the maintenance efficiency of equipment, promotes the economic nature of maintaining, guarantees the stability and the security of equipment operation.
Description
Technical Field
The present application relates to the field of device management technologies, and in particular, to a device maintenance method and apparatus, an electronic device, and a storage medium.
Background
At present, the traditional regular maintenance is mainly adopted for equipment maintenance, and the maintenance is not carried out according to the condition of the equipment. In actual production, the maintenance mode does not play a role in delaying the service life of the equipment and preventing faults. Meanwhile, the maintenance analysis of the equipment is not comprehensive and accurate enough, the situations that the number of times of unscheduled maintenance of the equipment is increased and the equipment is inefficiently maintained generally exist, so that the maintenance of the equipment is not economical, the system is unstable in operation, and the risk is brought to the safe production operation.
Disclosure of Invention
In view of this, embodiments of the present application provide an apparatus maintenance method and apparatus, an electronic apparatus, and a storage medium, which can improve the economy of apparatus maintenance and ensure the stability and security of the maintenance.
The technical scheme of the embodiment of the application is realized as follows:
in a first aspect, an embodiment of the present application provides an apparatus maintenance method, including: acquiring a current value and historical fault information of at least one operating parameter of equipment;
generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value characterizing a degree of degradation of the device subject to variation by the at least one operating parameter;
generating a second degradation value based on the historical fault information, the second degradation value characterizing a degree of degradation of the device affected by the fault condition;
generating a third degradation value based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degree of degradation of the device.
In the foregoing solution, the generating a first degradation value based on the current value of the at least one operating parameter includes:
calculating degradation sub-values of the operation parameters based on the corresponding current values, normal values, limit values and first coefficients;
generating a first degradation value by weighted summation of the degradation sub-values of the various operating parameters;
wherein the first coefficient is the influence degree of each operation parameter on the equipment degradation.
In the foregoing solution, the calculating, based on the current value, the normal value, the limit value, and the first coefficient corresponding to each of the operating parameters, a degradation sub-value of each of the operating parameters includes:
determining an influence value of each operation parameter based on the current value corresponding to each operation parameter, the normal value and the limit value of the equipment operation parameter, wherein the influence value is the ratio of the difference between the current value and the normal value of the operation parameter;
generating a degradation sub-value for each operating parameter based on the influence value and a first coefficient for each operating parameter.
In the foregoing solution, the weighted summation of the degraded sub-values of the operating parameters to generate the first degraded value includes:
weighting and summing the degradation sub-values based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the influence degree of each operation parameter on the degradation of the equipment component;
a first degradation value of the device is determined based on a sum of the degradation values of the device components.
In the above scheme, the equipment is water pump equipment, and the equipment subassembly includes: an impeller, a seal ring, and a shaft, the at least one operating parameter comprising: bearing vibration amplitude, bearing temperature, motor speed, current voltage and water pump running time.
In the foregoing solution, the generating a second degradation value based on the historical failure information includes:
determining an influence coefficient of each historical fault information on equipment degradation based on the historical fault information;
a second degradation value is generated from each of the influence coefficients.
In the above scheme, the method further comprises:
determining an interval where the third degradation value is located based on the third degradation value and a degradation curve representing the degradation trend of the equipment;
determining a corresponding maintenance measure and/or maintenance time in the interval based on the interval where the third degradation value is located;
generating a maintenance scheme of the equipment based on maintenance measures and/or maintenance time;
wherein the degradation curve is a time-varying curve of each degradation section.
In a second aspect, an embodiment of the present application provides an apparatus for maintaining a device, where the apparatus includes:
the acquisition module is used for acquiring the current value and the historical fault information of at least one operating parameter of the equipment;
a first evaluation module for generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value characterizing a degree of degradation of the device by changes in the at least one operating parameter;
a second evaluation module for generating a second degradation value based on the historical fault information, the second degradation value characterizing a degree of degradation of the device affected by the fault condition;
a third evaluation module to generate a third degradation value based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degree of degradation of the device.
In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory for storing a computer program capable of running on the processor, wherein,
the processor is configured to, when running the computer program, perform the steps of the method according to the first aspect.
In a fourth aspect, the present application provides a computer storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method according to the first aspect.
According to the technical scheme provided by the embodiment of the application, the current value and the historical fault information of at least one operation parameter of the equipment are acquired; generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value characterizing a degree of degradation of the device by changes in the at least one operating parameter; generating a second degradation value based on the historical fault information, the second degradation value characterizing a degree of degradation of the device affected by the fault condition; a third degradation value is generated based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degradation degree of the device. The method comprises the steps of calculating the influence degree of at least one operation parameter of the equipment on the equipment degradation by acquiring data of at least one operation parameter of the equipment, and simultaneously considering the influence of historical fault information of the equipment on the equipment degradation. The equipment degradation degree is quantitatively evaluated based on the above two dimensions, the third degradation value of the whole degradation degree of the equipment reflected by the equipment can be accurately obtained, scientific and reasonable quantitative basis can be provided for equipment maintenance based on the third degradation value, so that the equipment can be timely maintained, the number of times of invalid maintenance is greatly reduced, the maintenance efficiency of the equipment is improved, the running stability and safety of the equipment are guaranteed, and the economy of maintenance is improved.
Drawings
Fig. 1 is a schematic flow chart of an apparatus maintenance method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating the generation of a maintenance scheme in an example of the present application;
FIG. 3 is a schematic diagram of a maintenance system architecture according to an exemplary application of the present application;
FIG. 4 is a flowchart illustrating an apparatus maintenance method according to an exemplary application of the present application;
FIG. 5 is a schematic diagram of an example of an application of the present application;
fig. 6 is a schematic structural diagram of an apparatus maintenance device according to an embodiment of the present application;
fig. 7 is a schematic hardware structure diagram of an apparatus maintenance device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
An embodiment of the present application provides a device maintenance method, which may be applied to an electronic device with data processing capability, and with reference to fig. 1, the method mainly includes the following steps:
step 110: a current value and historical fault information of at least one operating parameter of the device is obtained.
Here, a current value of the at least one operating parameter information of the device may be acquired by a sensor. The sensors include, but are not limited to, at least one of: temperature sensor, pressure sensor, vibration sensor, rotational speed sensor and multi-functional ammeter.
The operating parameters of the device include, but are not limited to, at least one of: the vibration amplitude, the temperature, the pressure, the rotating speed, the voltage value, the current value and the running time of the equipment.
The device is a device to be maintained, and includes but is not limited to at least one of the following: water pump equipment, forging and pressing equipment, casting equipment, generator equipment and motor equipment. In general, maintenance and repair of equipment are required to improve the utilization rate of the equipment and to ensure safe and stable operation for a long period of time.
Here, the electronic device may further receive historical failure information of the device, where the historical failure information may be stored locally by the device to be maintained or stored remotely by the server, and thus, the electronic device may receive the historical failure information sent by the device to be maintained or access the server to obtain the historical failure information of the device to be maintained, which is not limited in this embodiment of the present application.
Step 120: generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value characterizing a degree of degradation of the device as a function of the at least one operating parameter.
Here, the first degradation value is a degree of degradation of the device as a function of at least one operating parameter. A certain operation parameter of the device can represent an operation state of a certain aspect of the device, generally, the more the device includes at least one operation parameter, the more the operation parameter of the device is obtained, the more the operation state of the device can be comprehensively represented, and the more accurate the generated first degradation value is.
Taking water pumping equipment as an example, the length of the current operation time of the water pumping equipment reflects the current operation load of the equipment. Generally, the longer the operation time of the equipment, the heavier the load, and the higher the deterioration value of the water pump equipment. Meanwhile, the operation parameters of the water pump equipment comprise vibration amplitude of a bearing end and a non-bearing end of the water pump, bearing temperature, motor rotating speed, current voltage and water pump operation time besides the operation time. The running state of the equipment can be completely and comprehensively reflected by combining the change of the running parameters, and a more accurate degradation value is generated.
Step 130: generating a second degradation value based on the historical fault information, the second degradation value characterizing a degree of degradation of the device affected by the fault condition.
Here, the history failure information of the device can also reflect the degree of deterioration of the device. The equipment will continue to deteriorate during normal use. The performance of the equipment is degraded every time a failure occurs, and although a certain performance can be recovered by repair, the degree of deterioration of the equipment tends to increase.
Here, the historical failure information of the device includes, but is not limited to, at least one of: rotor imbalance, cavitation, bearing damage, bolt loosening and over-power.
Taking water pump equipment as an example, in the actual use process, water pump equipment can break down, for example, rotor unbalance, bearing damage and bolt looseness of water pump equipment, and the performance of water pump equipment will decline each time a fault occurs, and the more the number of faults, the faster the performance of water pump equipment declines, the probability of deterioration will rise, and the water pump deterioration value also rises. Meanwhile, the influence degree of different fault types of the water pump equipment on the water pump equipment is different, for the water pump, the rotation of the bearing is a key function of the water pump equipment, and the influence of the damage of the bearing is obviously higher than the fault type of overhigh power.
Here, the fault type of the device is determined according to the historical fault information of the device, and different fault types correspond to different influence coefficients. Illustratively, the historical fault information is rotor imbalance, which corresponds to an influence coefficient of 0.6, reflecting the degree of degradation of the equipment affected by the fault condition of the rotor imbalance. When the number of failures is 1, the influence coefficient may be directly set as the second degradation value. And when the number of the faults is multiple, generating a second degradation value based on the multiple influence coefficients, and representing the degradation degree of the equipment influenced by the multiple fault states.
Step 140: generating a third degradation value based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degree of degradation of the device.
Here, the state of the device during actual operation may be classified into a failure state and a normal operation state. The deterioration value in the normal operation state is a first deterioration value, and the deterioration value in the failure state is a second deterioration value. The third degradation value integrates the first degradation value and the second degradation value, and reflects the degradation degree of the entire apparatus.
Illustratively, if the first degradation value is L General assembly The second deterioration value is H General assembly ，L General assembly And H General assembly A third degradation value may be generated by a weighted sum, the third degradation value characterizing an overall degree of degradation of the device. The weighting factor a of the first degradation value and the weighting factor b of the second degradation value may be set empirically, and thus the third degradation value is:
W general assembly ＝aL General (1) +bH General assembly
Wherein, W General assembly Is a third deterioration value, and the first deterioration value is L General assembly The second deterioration value is H General assembly A is a weighting coefficient corresponding to the first degradation value, and b is a weighting coefficient corresponding to the second degradation value.
In this way, by acquiring data of at least one operating parameter of the device, the degree of influence of the at least one operating parameter of the device on the device degradation is calculated, and meanwhile, the influence of the historical fault information of the device on the device degradation is considered. The equipment degradation degree is quantitatively evaluated based on the above two dimensions, the third degradation value of the whole degradation degree of the equipment reflected by the equipment can be accurately obtained, scientific and reasonable quantitative basis can be provided for equipment maintenance based on the third degradation value, so that the equipment can be timely maintained, the number of times of invalid maintenance is greatly reduced, the maintenance efficiency of the equipment is improved, the running stability and safety of the equipment are guaranteed, and the economy of maintenance is improved.
In some embodiments, the operating parameter is a plurality, and the generating a first degradation value based on a current value of the at least one operating parameter comprises:
calculating degradation sub-values of the operation parameters based on the corresponding current values, normal values, limit values and first coefficients;
generating a first degradation value by weighted summation of the degradation sub-values of the various operating parameters;
wherein the first coefficient is the degree of influence of each operating parameter on equipment degradation.
Here, the number of the operation parameters is plural. The normal value of the operation parameter is a value of the equipment in a normal operation state, the limit value of the operation parameter is a value of the operation parameter from operation to normal operation of the limited operation parameter, and the first coefficient is a constant and reflects the influence degree of each operation parameter on equipment degradation.
Illustratively, if the number of the operation parameters is i, i is an integer greater than 1, and the current value corresponding to the ith operation parameter is C i Normal value is A i Limit value of B i The first coefficient is K i With a deteriorative value of L i The first deterioration value is L General (1) . C corresponding to ith operating parameter i ，A i ，B i And K i Generating a degraded sub-value L i And the degradation sub-value is the influence value of the ith operation parameter on the equipment degradation.L General assembly For L corresponding to i operating parameters i And performing weighted summation generation.
In some embodiments, said calculating a degradation sub-value for each operating parameter based on the corresponding current value, normal value, limit value and first coefficient for each operating parameter comprises:
determining an influence value of each operation parameter based on the current value corresponding to each operation parameter, the normal value and the limit value of the equipment operation parameter, wherein the influence value is the ratio of the difference between the current value and the normal value of the operation parameter;
generating a degradation sub-value for each operating parameter based on the influence value and a first coefficient for each operating parameter.
Therefore, the influence value of the ith operating parameter is as follows:
wherein, E i As the influence value of the i-th operating parameter, C i Is the current value of the ith operating parameter, A i Is the normal value of the i-th operating parameter, B i The limit value of the ith operating parameter, i being the number of operating parameters.
The ith operating parameter degradation sub-value is:
wherein L is i Is a degraded sub-value of the i-th operating parameter, E i For the influence value of the i-th operating parameter, K i Is a first coefficient, which is determined by an operating parameter.
In an embodiment of the present application, the performing a weighted summation of the degradation sub-values of the respective operation parameters to generate a first degradation value includes:
weighting and summing the degradation sub-values based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the influence degree of each operation parameter on the degradation of the equipment component;
a first degradation value of the device is determined based on a sum of the degradation values of the device components.
From this, the degradation value of the jth device component is:
wherein D is j Is the degradation value of the jth equipment component, L i Is a degraded sub-value of the i-th operating parameter, T i,j Is the second coefficient, j is the number of equipment components, and i is the number of operating parameters. The second coefficient is determined by the equipment component and reflects the influence degree of the operation parameter on the degradation of the equipment component, and the influence degrees of the same operation parameter on the degradation of different equipment components are different.
From this, the first degradation value of the device is:
wherein L is General assembly For a first degradation value, characterizing the degree of degradation of the device as a function of at least one operating parameter, D j Is the degradation value of the jth device component, and j is the number of device components.
In some embodiments, the apparatus is a water pump apparatus, the apparatus assembly comprising: an impeller, a seal ring, and a shaft, the at least one operating parameter comprising: bearing vibration amplitude, bearing temperature, motor speed, current voltage and water pump running time.
In some embodiments, said generating a second degradation value based on said historical fault information comprises:
determining an influence coefficient of each historical fault information on equipment degradation based on the historical fault information;
a second degradation value is generated from each of the influence coefficients.
Exemplarily, ifThe second deterioration value is H General assembly The influence coefficient is a second deterioration value Z i And i is the number of the historical faults, and when the number of the historical faults is 1, the second degradation value is as follows:
H general assembly ＝Z 1
When the historical failure type is plural, the second degradation value is:
in this embodiment of the application, as shown in fig. 2, after the third degradation value is obtained, the method further includes:
step 210: and determining an interval where the third degradation value is located based on the third degradation value and a degradation curve representing the degradation trend of the equipment.
Here, after determining the degradation value of the entire apparatus, the section in which the apparatus is on the degradation curve may be determined by the degradation curve representing the tendency of degradation of the apparatus. The degradation curve is a time-dependent curve of each degradation section. The degradation section of the device is divided based on the device degradation value, for example, the degradation section of the device may be sequentially divided into four sections, each having a degradation value of less than 0.4, a degradation value of greater than or equal to 0.4 and less than 0.8, a degradation value of greater than or equal to 0.8 and less than 1, and a degradation value of greater than or equal to 1.
Here, when the deterioration tendency management is performed on the device, it is necessary to draw a deterioration curve of the device. The abscissa of the degradation curve represents time, and the ordinate represents the measured degradation value of the device, and the degradation curve of the device can be obtained by connecting these points into a curve. The degradation curve is provided with a degradation limit value, the degradation value of the equipment does not influence the normal operation of the equipment within the limit value, but once the degradation degree exceeds the limit value, a fault occurs, and the degradation curve corresponding to each equipment is different.
Step 220: and determining a corresponding maintenance measure and/or maintenance time in the interval based on the interval where the third degradation value is located.
Here, after the section in which the third degradation value is located is determined, the maintenance measure in the section may be determined based on the maintenance measure corresponding to each degradation section set in advance.
Here, after the section in which the third degradation value is located is determined, the time at which the section degradation limit value is reached, that is, the next maintenance time of the apparatus, may be predicted from the third degradation value.
Step 230: generating a maintenance scheme of the equipment based on maintenance measures and/or maintenance time; wherein the degradation curve is a time-varying curve of each degradation section.
Determining an interval where the third degradation value is located by a degradation curve based on the third degradation value and the degradation trend representing the equipment degradation; determining a corresponding maintenance measure and/or maintenance time in the interval based on the interval where the third degradation value is located; generating a maintenance scheme of the equipment based on the maintenance measures and/or maintenance time; wherein, the degradation curve is a curve of each degradation section along with time. Therefore, the maintenance time of the equipment is accurately predicted on the basis of mastering the accurate overall degradation degree of the equipment, corresponding maintenance measures are selected for different degradation degrees, and an exclusive maintenance scheme of the equipment is generated. The predictive maintenance and the active maintenance according to the equipment degradation condition can be realized, the service life of the equipment is prolonged, and the fault is prevented. The management efficiency of the equipment and the economy of maintenance are improved.
Hereinafter, the embodiments of the present application will be described in further detail with reference to application examples.
This application example is directed at water pump equipment for realize the maintenance management to water pump equipment.
As the operation time of the equipment increases, the original functions of the equipment are reduced and lost, and the technical, operation efficiency and economic performance of the equipment are reduced, which is called as the deterioration of the equipment. The deterioration of the device includes natural deterioration and use deterioration. Natural deterioration refers to deterioration of equipment due to the action of natural forces. For example, rust on equipment, corrosion of metal, aging of plastic rubber products, and the like are often caused by the action of natural force. The use deterioration refers to the condition that the equipment is damaged, corroded, fatigued, fallen off and the like due to the impact, friction, corrosion of media and the like under the action of external force in the use process of the equipment.
The deterioration analysis is not carried out on the water pump basically in the industry, and after the fault is sent, the maintenance is carried out afterwards. The maintenance mode of the water pump is mainly a traditional regular maintenance mode, and predictive maintenance and active maintenance are not organized according to the equipment deterioration condition, so that key maintenance is insufficient, ineffective maintenance is more, the maintenance does not play a role in delaying the service life of the equipment and preventing faults, the maintenance is not economical, and the system operation is unstable. The maintenance of the equipment can only be processed in a reaction mode, and can not be predicted in advance and hidden dangers can not be eliminated in advance, so that the unplanned maintenance times of the water pump equipment are increased, and the risk is brought to safe production operation.
In some embodiments, the maintenance system architecture of the pumping equipment is as shown in fig. 3, and the system architecture includes the pumping equipment, a sensor, a business logic and degradation analysis and intelligent maintenance reminding device. The water pump and the sensor comprise water pump equipment, a vibration sensor, a temperature sensor, a pressure sensor, a rotating speed sensor and a multifunctional electric meter. Water pump equipment contains the water pump of various models for the industrial production field, and vibration sensor is the special vibration sensor of rotating machinery, and speed sensor is that motor speed monitoring temperature is used, and the multifunctional ammeter is used as water pump load monitoring, monitors current-voltage. The business logic comprises a degradation analysis algorithm, equipment component state analysis, a maintenance strategy, intelligent reminding and external communication. The degradation analysis and intelligent maintenance reminding device comprises a processor, an IO unit, a communication module, a peripheral circuit and a display screen.
As shown in fig. 4, the maintenance management method of the water pump apparatus includes:
step 410: a sensor acquires the running parameter condition of relevant equipment of a system;
the operation parameters of the water pump equipment comprise bearing vibration amplitude, bearing temperature, motor rotating speed, current voltage and water pump operation time. By taking the vibration amplitude as an example, the key characteristics for representing the water pump fault can be obtained by collecting the vibration signal and analyzing the vibration amplitude or the time frequency of the vibration signal. And the analysis can be carried out by combining the means of machine autonomous learning, deep learning algorithm and the like.
Step 420: and analyzing the running states of all parts of the water pump according to the running parameter conditions of the water pump, and comprehensively evaluating the degradation degree of the water pump equipment.
Analyzing the operating state of each component of the water pump according to the operating parameter condition of the water pump, and comprehensively evaluating the degradation degree of water pump equipment, namely generating a first degradation value according to the current value of the operating parameter data obtained by the sensor, wherein the first degradation value represents the degradation degree of the equipment subjected to the change of at least one operating parameter.
Specifically, generating a first degradation value based on a current value of at least one operating parameter includes:
calculating degradation sub-values of the operation parameters based on the corresponding current values, normal values, limit values and first coefficients;
generating a first degradation value by weighted summation of the degradation sub-values of the operation parameters;
wherein the first coefficient is the degree of influence of each operating parameter on equipment degradation.
Illustratively, if the number of the operation parameters of the water pump is i, the current value corresponding to the ith operation parameter is C i Normal value is A i Limit value of B i The first coefficient is K i With a deteriorative value of L i The first degradation value is L General assembly . Corresponding C based on ith operating parameter i ，A i ，B i And K i Generating a degraded sub-value L i And the degradation sub-value is the influence value of the ith operation parameter on the equipment degradation. L is a radical of an alcohol General assembly For L corresponding to i operating parameters i And performing weighted summation generation.
The calculating of the degradation sub-value of each operating parameter based on the corresponding current value, normal value, limit value and first coefficient for each operating parameter includes:
determining an influence value of each operation parameter based on a current value corresponding to each operation parameter, a normal value and a limit value of the equipment operation parameter, wherein the influence value is a ratio of a difference between the current value and the normal value of the operation parameter;
generating a degradation sub-value for each operating parameter based on the influence value and the first coefficient for each operating parameter.
When the number i of the operation parameters is 1, for example, for the operation parameter of the bearing temperature, the influence value of the bearing temperature of the water pump device is as follows:
wherein E is 1 As a value of influence of bearing temperature, C 1 Is the current value of the bearing temperature, A 1 Normal value of bearing temperature, B 1 Is the limit value of the bearing temperature.
Therefore, the calculation formula of the degradation sub-value of the bearing temperature of the water pump apparatus is:
L 1 is a degradation sub-value, C, of the bearing temperature of the water pump apparatus 1 Is the current value of the bearing temperature, A 1 Normal value of bearing temperature, B 1 Limit value of bearing temperature, K 1 Is a first coefficient, which is a constant.
Empirically, the first coefficient K of the bearing temperature 1 May be set to 0.5.
Generating a first degradation value by weighted summation of the degradation sub-values for each operating parameter, comprising:
carrying out weighted summation on each degradation sub-value based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the influence degree of each operation parameter on the degradation of the equipment component;
a first degradation value of the device is determined based on a sum of the degradation values of the device components.
The components of the water pump include, but are not limited to, at least one of: the impeller, the pump body, the pump shaft, the bearing, the sealing box, the stuffing box and the like mainly comprise an impeller, a sealing ring and a shaft.
Taking the operating parameter of the water pump equipment as the bearing temperature and the components of the water pump equipment as an impeller, a seal ring and a shaft as examples, when i =1, j =3, the degradation value of the impeller component:
D 1 ＝T 1,1 ×L 1
the degradation values of the seal ring assembly were:
D 2 ＝T 1,2 ×L 1
the deterioration values of the shaft assembly were:
D 3 ＝T 1,3 ×L 1
wherein D is 1 、D 2 And D 3 Degradation values, L, for the impeller assembly, seal ring assembly and shaft assembly, respectively 1 Is a degradation sub-value, T, of the bearing temperature 1,1 、T 1,2 And T 1,3 And the second coefficient respectively reflects the influence degree of the bearing temperature on the degradation of the impeller assembly, the sealing ring assembly and the shaft assembly.
The first degradation value is:
L general assembly ＝D 1 +D 2 +D 3
Namely, the first degradation value is:
L general assembly ＝T 1,1 ×L 1 +T 1,2 ×L 1 +T 1,3 ×L 1
Wherein L is General assembly And the first degradation value represents the degradation degree of the water pump equipment caused by the temperature change of the bearing. L is 1 Is a deterioration value of bearing temperature, T 1,1 、T 1,2 And T 1,3 The second coefficients respectively reflect the degree of influence of the bearing temperature on the deterioration of the impeller assembly, the degree of influence of the bearing temperature on the deterioration of the seal ring assembly, and the degree of influence of the bearing temperature on the shaft deterioration.
For example, the second coefficient may be set empirically. The second coefficient of the water pumping device comprises a correlation coefficient and an expert coefficient.
The correlation coefficient is a correlation value of various equipment operation parameters on the influence of degradation, and is generally 1 at the maximum and 0 at the minimum.
The expert coefficient is an evaluation value of the expert on the influence of the degradation of various equipment operation parameters, and is 1 at the maximum and 0 at the minimum.
And when the number i of the operating parameters of the water pump is multiple, i is an integer larger than 1. The influence value of the ith water pump operation parameter is as follows:
wherein E is i Is the influence value of the i-th water pump operating parameter, C i Is the current value of the i-th water pump operating parameter, A i Is the normal value of the i-th water pump operating parameter, B i And (4) limiting values of the ith water pump operation parameters, wherein i is the number of the water pump operation parameters.
The ith water pump operation parameter degradation sub-value is as follows:
L i is a degraded sub-value, C, of the i-th water pump operating parameter i Is the current value of the i-th water pump operating parameter, A i Is the normal value of the i-th water pump operating parameter, B i Limit value of the ith water pump operating parameter. K i Is a first coefficient, which is determined by an operating parameter.
Illustratively, the values of the first coefficient are shown in table 1 below:
TABLE 1
| Serial number | Parameter name | Degree of influence |
| 1 | Bearing vibration | 0.8 |
| 2 | Bearing temperature | 0.5 |
| 3 | Inlet and outlet pressure | 0.3 |
Generating a first degradation value by weighted summation of the degradation sub-values of the respective operating parameters, comprising:
carrying out weighted summation on each degradation sub-value based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the influence degree of each operation parameter on the degradation of the equipment component;
a first degradation value of the device is determined based on a sum of the degradation values of the device components.
With the operating parameters of the device including bearing vibration, bearing temperature, the water pump device assembly includes: in this case, i =2 and j =3, it is understood that the deterioration values of the device components are:
deterioration value of impeller component:
D 1 ＝T 1,1 ×L 1 +T 2,1 ×L 2
the degradation values of the seal ring assembly were:
D 2 ＝T 1,2 ×L 1 +T 2,2 ×L 2
the deterioration values of the shaft assembly were:
D 3 ＝T 1,3 ×L 1 +T 2,3 ×L 2
thus, the first degradation value of the device is:
L general assembly ＝D 1 +D 2 +D 3
Namely, the first degradation value is:
L general (1) ＝T 1,1 ×L 1 +T 2,1 ×L 2 +T 1,2 ×L 1 +T 2,2 ×L 2 +T 1,3 ×L 1 +T 2,3 ×L 2
Wherein L is General assembly Is a first deterioration value representing the deterioration degree of the water pump equipment caused by the change of the bearing vibration, L 1 Is a degradation sub-value of bearing vibration, L 2 Is a degradation sub-value of the bearing temperature. T is 1,1 Reflecting the influence of bearing vibration on impeller degradation, T 2,1 Influence of bearing temperature on impeller degradation, T 1,2 Reflecting the influence of bearing vibration on the deterioration of the sealing ring, T 2,2 Reflecting the influence of bearing temperature on seal ring degradation, T 1,3 Reflecting the influence of bearing vibrations on shaft deterioration, T 2,3 Reflecting the effect of bearing temperature on shaft degradation. The second coefficients include a correlation coefficient and an expert evaluation coefficient.
The correlation coefficient is denoted by α: the maximum value of the correlation value of the water pump equipment operation parameter on the degradation influence is 1, and the minimum value is 0.
Expert evaluation coefficients are denoted by β: the expert estimates the influence of the water pump equipment operation parameters on the degradation, wherein the maximum is 1, and the minimum is 0.
Illustratively, the calculation formula of the first degradation value is:
l general (1) ＝α 1 ×β 1 ×L 1 +α 2 ×β 2 ×L 2 +α 3 ×β 3 ×L 1 +α 4 ×β 4 ×L 2 +α 5 ×β 5 ×L 2 +α 6 ×β 6 ×L 2
Step 430: analyzing historical faults of the equipment, determining the influence degree of the faults on the equipment degradation trend according to different types of faults, wherein different faults have different influence coefficients, and comprehensively judging the degradation degree according to the influence coefficients.
And analyzing historical faults of the equipment, and determining the influence degree of the faults on the equipment degradation trend according to different types of faults, namely generating a second degradation value based on the historical fault information, wherein the second degradation value represents the degradation degree of the equipment affected by the fault state.
For example, different fault types of the equipment have different influence coefficients, and the influence coefficients can be set through experience. The impact coefficients of the device may be learned through machine-independent experience.
If the second deterioration value of the water pump is H General assembly The water pump influence coefficient is Z i And i is the number of the historical faults of the water pump, and when the number of the historical faults of the water pump is 1 and the fault type is abnormal, the influence coefficient of the water pump is as follows:
Z 1 ＝0.5
the second deterioration value of the water pump is as follows:
H general assembly ＝0.5
The fault type and the influence coefficient of the water pump device are shown in the following table 2:
TABLE 2
| Serial number | Type of failure | Coefficient of influence |
| 1 | Rotor imbalance | 0.6 |
| 2 | Is not centered | 0.5 |
| 3 | Cavitation erosion | 0.4 |
| 4 | Bearing damage | 0.8 |
| 5 | Loosening of bolt | 0.6 |
| 6 | Pin wear | 0.3 |
| 7 | Impeller damage | 0.7 |
| 8 | Over-high power | 0.3 |
| 9 | Bearing overheating | 0.4 |
| 10 | Abnormality of motor | 0.5 |
| 11 | Wear of coupling | 0.5 |
| 12 | Imperfect foundation | 0.5 |
When the historical fault information of the water pump equipment is multiple, the historical fault information is that the rotor is unbalanced and the neutral motor is not abnormal, and the influence coefficient Z of the unbalance of the rotor 1 =0.6, coefficient of influence of misalignment Z 2 =0.5, influence coefficient Z of motor abnormality 3 =0.5, the second degradation value is 1.6:
H general assembly ＝0.6+0.5+0.5
Step 440: and weighting and summing the degradation degree values calculated by the two dimensions to obtain the degradation degree value of the water pump equipment.
And weighting and summing the degradation degree values calculated by combining the two dimensions to obtain a degradation degree value of the water pump equipment, namely generating a third degradation value based on the first degradation value and the second degradation value, wherein the third degradation value represents the overall degradation degree of the equipment.
The weighting factor of the weighted sum here can be set empirically. For example, the weight coefficient of the degradation value of the water pump device may be set to 0.8, and the weight coefficient of the degradation value corresponding to different types of faults may be set to 0.2. At this time, the third deterioration value, which is the deterioration degree value of the water pump apparatus in two dimensions, is:
W general assembly ＝0.8L General assembly +0.2H General assembly
Wherein, W General assembly Is a third deterioration value, and the first deterioration value is L General assembly The second deterioration value is H General (1) 0.8 is a weight coefficient corresponding to the first degradation value, and 0.2 is a weight coefficient corresponding to the second degradation value.
In some embodiments, when the degradation degree value of the water pump apparatus in two dimensions is greater than 1, the value is taken as 1.
Step 450: by fitting a time-varying curve of the degree of degradation, the time at which the device reaches the degradation limit value is predicted. And (3) performing curve fitting by using a least square method of a linear function polynomial or a quadratic function polynomial, and estimating the time of maintenance measures such as maintenance, shutdown maintenance and the like.
The time-dependent change curve of the deterioration degree includes a trend of each deterioration interval changing with time, and fitting of the change curve may be performed by a least square method using a linear function or a quadratic function polynomial. The method comprises the steps of determining a degradation interval corresponding to a degradation value of the water pump equipment and predicting the time when the degradation limit value is reached, wherein the degradation interval of the equipment can be divided into four intervals in sequence, and the degradation value is smaller than 0.4, greater than or equal to 0.4 and smaller than 0.8, greater than or equal to 0.8 and smaller than 1, and greater than or equal to 1. If the deterioration value of the water pump equipment is 0.6, the deterioration interval of the water pump equipment is determined to be greater than or equal to 0.4 and less than 0.8, and the time when the water pump equipment reaches the deterioration limit value of 0.8 is predicted. This time is also the time that the device needs to be serviced.
In some embodiments, for example, as shown in fig. 5, an intelligent maintenance recommendation of the water pump device may be preset. And reminding water pump equipment to carry out corresponding maintenance measures according to the degradation degree value of the water pump. The maintenance measures comprise:
1) Daily maintenance: maintenance actions such as oiling and replacing the seal ring within a daily standard plan are judged according to the running time length.
2) Minor repair: the deterioration degree value is greater than or equal to 0.4 and less than 0.8, and minor repair is performed.
3) And (3) overhauling: and when the degradation degree value is greater than or equal to 0.8 and less than 1, reminding the operator to carry out shutdown overhaul.
4) Scrapping: and when the degradation degree value is greater than or equal to 1, reminding the scrap.
Therefore, the influence degree of the at least one operation parameter of the water pump equipment on the equipment degradation is calculated by acquiring the data of the at least one operation parameter of the water pump equipment, and meanwhile, the influence of the historical fault information of the equipment on the equipment degradation is considered. The degree of degradation of the water pump equipment is quantitatively evaluated based on the two dimensions, and the degradation value and the degradation state of the equipment can be more accurately acquired. On the basis of mastering the accurate equipment degradation degree, curve fitting is carried out by using a least square method of a linear function polynomial or a quadratic function polynomial, the time of maintenance measures such as maintenance, shutdown maintenance and the like is estimated, and a special maintenance scheme of the equipment is generated, so that predictive maintenance and active maintenance according to the equipment degradation condition can be realized, the service life of the equipment is prolonged, and faults are prevented. The management efficiency of the equipment and the economy of maintenance are improved.
Based on the same inventive concept as the device maintenance method provided in the foregoing embodiment, an embodiment of the present application further provides a device maintenance apparatus, as shown in fig. 6, where the device maintenance apparatus includes: an acquisition module 610, a first evaluation module 620, and a second evaluation module 630 and a third evaluation module 640.
The obtaining module 610 is configured to obtain a current value and historical fault information of at least one operating parameter of the device;
the first evaluation module 620 is configured to generate a first degradation value based on a current value of the at least one operating parameter, the first degradation value representing a degree of degradation of the device by a change in the at least one operating parameter;
a second evaluation module 630 is used for generating a second degradation value based on the historical failure information, wherein the second degradation value represents the degradation degree of the equipment affected by the failure state;
the third evaluation module 640 is configured to generate a third degradation value based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degradation degree of the device.
In some embodiments, the first evaluation module 620 is specifically configured to:
calculating degradation sub-values of the operation parameters based on the corresponding current values, normal values, limit values and first coefficients;
generating a first degradation value by weighted summation of the degradation sub-values of the operation parameters;
wherein the first coefficient is the influence degree of each operation parameter on the equipment degradation.
In some embodiments, the first evaluation module 620 is further specifically configured to:
determining an influence value of each operation parameter based on a current value corresponding to each operation parameter, a normal value and a limit value of the equipment operation parameter, wherein the influence value is a ratio of a difference between the current value and the normal value of the operation parameter;
generating a degradation sub-value for each operating parameter based on the impact value and a first coefficient for each operating parameter.
In some embodiments, the first evaluation module 620 is further specifically configured to:
carrying out weighted summation on each degradation sub-value based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the influence degree of each operation parameter on the equipment component degradation;
a first degradation value of the device is determined based on a sum of the degradation values of the device components.
In some embodiments, the second evaluation module 630 is further specifically configured to:
determining an influence coefficient of each historical fault information on equipment degradation based on the historical fault information;
a second degradation value is generated from each of the influence coefficients.
Illustratively, the device maintenance apparatus further comprises a maintenance scheme generation module 650,
the degradation curve is used for determining an interval where the third degradation value is located based on the third degradation value and the degradation curve representing the degradation trend of the equipment;
determining a corresponding maintenance measure and/or maintenance time in the interval based on the interval where the third degradation value is located;
generating a maintenance scheme of the equipment based on the maintenance measures and/or maintenance time;
wherein, the degradation curve is a curve of each degradation section along with time.
In actual application, the obtaining module 610, the first evaluating module 620, the second evaluating module 630, the third evaluating module 640, and the maintenance scheme generating module 650 of the device maintenance apparatus may be implemented by a processor in an electronic device. Of course, the processor needs to run a computer program in memory to implement its functions.
In some embodiments, the hardware structure of the device maintenance apparatus is as shown in fig. 7, and the hardware structure of the device maintenance apparatus includes: the device comprises a data acquisition module, a data communication module, a data storage module, a processor module, a degradation analysis module and a power supply module. The data acquisition module is used for acquiring equipment operation parameter information through the sensor, and the equipment information is divided into digital quantity and analog quantity. The data storage module is used for storing data of the equipment, such as historical fault data of the equipment. The data communication module is used for transmitting and receiving information, and can transmit and receive information in the modes of RS485/RS232, ethernet and 2/3/4/5G. The processing module is used for processing the operation parameter information of the equipment and generating a degradation value of the equipment. The degradation analysis module is used for judging the degradation degree of the equipment according to the degradation value of the equipment. The processing module is connected with the display screen and the touch keys. The touch keys are used for inputting relevant information of the equipment, and the display screen is used for displaying maintenance measures and maintenance time of the equipment.
It should be noted that: in the device maintenance apparatus provided in the above embodiment, only the division of each program module is illustrated when performing maintenance, and in practical applications, the above processing may be distributed to different program modules according to needs, that is, the internal structure of the apparatus may be divided into different program modules to complete all or part of the above-described processing. In addition, the device maintenance apparatus provided in the above embodiment and the maintenance method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment and are not described herein again.
Based on the hardware implementation of the program module, in order to implement the method according to the embodiment of the present application, an electronic device is further provided in the embodiment of the present application. Fig. 8 shows only an exemplary structure of the electronic device, not the entire structure, and a part of or the entire structure shown in fig. 8 may be implemented as necessary.
As shown in fig. 8, an electronic device 800 provided in an embodiment of the present application includes: at least one processor 801, memory 802, a user interface 803, and at least one network interface 804. The various components in the electronic device 800 are coupled together by a bus system 805. It will be appreciated that the bus system 805 is used to enable communications among the components of the connection. The bus system 805 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 805 in fig. 8.
The user interface 803 may include, among other things, a display, a keyboard, a mouse, a trackball, a click wheel, a key, a button, a touch pad, or a touch screen.
The memory 802 in the embodiments of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program for operating on an electronic device.
The maintenance method disclosed in the embodiment of the present application may be applied to the processor 801 or implemented by the processor 801. The processor 801 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the device method may be performed by instructions in the form of hardware integrated logic circuits or software in the processor 801. The Processor 801 may be a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 801 may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium located in the memory 802, and the processor 801 reads information in the memory 802, and completes the steps of the device maintenance method provided in the embodiments of the present application in combination with hardware thereof.
In an exemplary embodiment, the electronic Device may be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, programmable Logic Devices (PLDs), complex Programmable Logic Devices (CPLDs), field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro Controllers (MCUs), microprocessors (microprocessors), or other electronic components for performing the foregoing methods.
It will be appreciated that the memory 802 can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical Disc, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), synchronous Static Random Access Memory (SSRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), synchronous Dynamic Random Access Memory (SLDRAM), direct Memory (DRmb Access), and Random Access Memory (DRAM). The memories described in the embodiments of the present application are intended to comprise, without being limited to, these and any other suitable types of memory.
In an exemplary embodiment, the present application further provides a storage medium, that is, a computer storage medium, which may be a computer readable storage medium, for example, a memory 802 storing a computer program, where the computer program is executable by a processor 801 of an electronic device to perform the steps described in the method of the present application. The computer readable storage medium may be a ROM, PROM, EPROM, EEPROM, flash Memory, magnetic surface Memory, optical disk, or CD-ROM, among others.
It should be noted that: "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The technical means described in the embodiments of the present application may be arbitrarily combined without conflict.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An apparatus maintenance method, comprising:
acquiring a current value and historical fault information of at least one operating parameter of equipment;
generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value characterizing a degree of degradation of the device by changes in the at least one operating parameter;
generating a second degradation value based on the historical fault information, the second degradation value characterizing a degree of degradation of the device affected by the fault condition;
generating a third degradation value based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degree of degradation of the device.
2. The method of claim 1, wherein the operating parameter is a plurality of, and wherein generating a first degradation value based on a current value of the at least one operating parameter comprises:
calculating degradation sub-values of the operation parameters based on the corresponding current values, normal values, limit values and first coefficients;
generating a first degradation value by weighted summation of the degradation sub-values of the operation parameters;
wherein the first coefficient is the degree of influence of each operating parameter on equipment degradation.
3. The method of claim 2, wherein calculating a degradation sub-value for each operating parameter based on the corresponding current value, normal value, limit value, and first coefficient for each operating parameter comprises:
determining an influence value of each operation parameter based on the current value corresponding to each operation parameter, the normal value and the limit value of the equipment operation parameter, wherein the influence value is the ratio of the difference between the current value and the normal value of the operation parameter;
generating a degradation sub-value for each operating parameter based on the influence value and a first coefficient for each operating parameter.
4. The method of claim 2, wherein the weighted summation of the degraded sub-values of the respective operating parameters to generate a first degraded value comprises:
carrying out weighted summation on each degradation sub-value based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the influence degree of each operating parameter on the degradation of the equipment component;
determining a first degradation value of the device based on a sum of the degradation values of the device components.
5. The method of claim 4, wherein the apparatus is a water pump apparatus, the apparatus assembly comprising: an impeller, a seal ring, and a shaft, the at least one operating parameter comprising: bearing vibration amplitude, bearing temperature, motor speed, current voltage and water pump running time.
6. The method of claim 1, wherein generating a second degradation value based on the historical fault information comprises:
determining an influence coefficient of each historical fault information on equipment degradation based on the historical fault information;
a second degradation value is generated from each of the influence coefficients.
7. The method of claim 1, further comprising:
determining an interval where the third degradation value is located based on the third degradation value and a degradation curve representing the degradation trend of the equipment;
determining a corresponding maintenance measure and/or maintenance time in the interval based on the interval where the third degradation value is located;
generating a maintenance scheme of the equipment based on maintenance measures and/or maintenance time;
wherein the degradation curve is a time-varying curve of each degradation section.
8. An apparatus for maintaining equipment, the apparatus comprising:
the acquisition module is used for acquiring the current value and the historical fault information of at least one operating parameter of the equipment;
a first evaluation module for generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value characterizing a degree of degradation of the device by changes in the at least one operating parameter;
a second evaluation module for generating a second degradation value based on the historical fault information, the second degradation value characterizing a degree of degradation of the device affected by the fault condition;
a third evaluation module to generate a third degradation value based on the first degradation value and the second degradation value, the third degradation value characterizing an overall degree of degradation of the device.
9. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor, wherein,
the processor, when executing the computer program, is configured to perform the steps of the method of any of claims 1 to 7.
10. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method of any one of claims 1 to 7.
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