CN114638174B - Multistage mechanical seal system fault tracing method, device, equipment and storage medium - Google Patents
Multistage mechanical seal system fault tracing method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a fault tracing method and device for a multistage mechanical seal system, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring boundary pressure of a multistage mechanical sealing system and a plurality of monitoring parameters acquired by a sensor; inputting boundary pressure and a plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of a fault event of the multi-stage mechanical seal system in the solving process to obtain characteristic parameter values of the multi-stage mechanical seal system; and matching the characteristic parameter value with the fault event, and tracing the fault of the multistage mechanical sealing system according to the matching result. The embodiment of the application can judge the internal working state of the multistage seal, identify the most possible position of the fault and enable technicians to perform targeted treatment. Therefore, the problems that the multi-stage sealing system, in particular the abstract mathematical model is underdefined in solving, so that the solution cannot be determined and the like are solved.
Description
Technical Field
The application relates to the technical field of fluid sealing, in particular to a fault tracing method, device and equipment for a multistage mechanical sealing system and a storage medium.
Background
The mechanical seal is an end face dynamic seal device. It is desirable to reduce or eliminate frictional wear of friction pairs (formed by the opposing faces and fluid medium) to extend life while maintaining low or no leakage. For higher pressure situations, multi-stage mechanical seals are typically designed to reduce the pressure step by step, reducing the workload of each stage.
In order to detect the working state of the mechanical seal, related technologies generally use a matched auxiliary system to monitor the pressure, flow and the like in the pipeline outside the mechanical seal.
However, when the matched auxiliary system is applied to enterprises, the working state inside the mechanical seal, particularly the leakage rate of each level of seal, cannot be accurately calculated according to the monitoring result of the auxiliary system in the multistage mechanical seal system due to the limitation of the monitoring condition, so that when the system works abnormally, the reasons and risks of the abnormality cannot be determined, and the problem needs to be solved.
Disclosure of Invention
The application provides a fault tracing method, device, electronic equipment and storage medium for a multistage mechanical seal system, and aims to solve the problems that an abstract mathematical model of the multistage mechanical seal system is underdefined in solving so that solution cannot be determined and the like.
An embodiment of a first aspect of the present application provides a fault tracing method for a multistage mechanical seal system, including the following steps: acquiring boundary pressure of a multistage mechanical sealing system and a plurality of monitoring parameters acquired by a sensor; inputting the boundary pressure and the monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of the fault event of the multistage mechanical seal system in the solving process to obtain characteristic parameter values of the multistage mechanical seal system; and matching the characteristic parameter value with the fault event, and performing fault tracing on the multistage mechanical seal system according to a matching result.
Optionally, in an embodiment of the present application, before acquiring the boundary pressure of the multi-stage mechanical seal system and the plurality of monitoring parameters acquired by the sensor, the method further includes: establishing a cavity model and a component model of the multistage mechanical seal system; and constructing the system physical model according to the cavity model and the component model.
Optionally, in one embodiment of the present application, the empirical knowledge of the event of a failure of the multi-stage mechanical seal system includes: empirical knowledge of fault events that may occur in the multi-stage mechanical seal system is introduced in the form of a priori probability distribution.
Optionally, in an embodiment of the present application, the inputting the boundary pressure and the plurality of monitoring parameters into a pre-constructed system physical model to solve, and introducing empirical knowledge of the failure event of the multi-stage mechanical seal system in the solving process, to obtain the characteristic parameter value of the multi-stage mechanical seal system includes: and calculating the system physical model by using the maximum likelihood to obtain the characteristic parameter value.
Optionally, in an embodiment of the present application, the calculating the physical model of the system using maximum likelihood to obtain the characteristic parameter value includes:
wherein,as the characteristic parameter value ρ b (x) And f (x; z) is a system physical model, and y is a monitoring parameter.
An embodiment of a second aspect of the present application provides a fault tracing apparatus for a multistage mechanical seal system, including: the acquisition module is used for acquiring boundary pressure of the multistage mechanical sealing system and a plurality of monitoring parameters acquired by the sensor; the computing module is used for inputting the boundary pressure and the plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing experience knowledge of the fault event of the multistage mechanical seal system in the solving process to obtain characteristic parameter values of the multistage mechanical seal system; and the tracing module is used for matching the characteristic parameter value with the fault event and tracing the fault of the multistage mechanical sealing system according to a matching result.
Optionally, in one embodiment of the present application, further includes: a first modeling module for establishing a chamber model and a component model of the multi-stage mechanical seal system; and the second modeling module is used for constructing the system physical model according to the chamber model and the component model.
Optionally, in one embodiment of the present application, the empirical knowledge of the event of a failure of the multi-stage mechanical seal system includes: empirical knowledge of fault events that may occur in the multi-stage mechanical seal system is introduced in the form of a priori probability distribution.
Optionally, in an embodiment of the present application, the calculating module is specifically configured to calculate the physical model of the system using maximum likelihood, to obtain the characteristic parameter value.
Optionally, in an embodiment of the present application, the calculating the physical model of the system using maximum likelihood to obtain the characteristic parameter value includes:
wherein,as the characteristic parameter value ρ b (x) And f (x; z) is a system physical model, and y is a monitoring parameter.
An embodiment of a third aspect of the present application provides an electronic device, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to execute the multistage mechanical seal system fault tracing method according to the embodiment.
An embodiment of a fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program that is executed by a processor to perform the multistage mechanical seal system fault tracing method as described in the above embodiment.
Therefore, the application has at least the following beneficial effects:
according to the quantitative analysis scheme based on probability, an analysis result is output in a mode of maximum likelihood system state, the internal working state of the multistage seal is judged, and the most probable position of faults is identified, so that technicians can conduct targeted treatment. Therefore, the problems that the multi-stage sealing system, in particular the abstract mathematical model is underdefined in solving, so that the solution cannot be determined and the like are solved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
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The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a fault tracing method of a multi-stage mechanical seal system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a multi-stage mechanical seal system according to one embodiment of the present application;
FIG. 3 is a schematic diagram of execution logic of a fault tracing method for a multi-stage mechanical seal system according to an embodiment of the present application;
FIG. 4 is an exemplary diagram of a multi-stage mechanical seal system fault traceability device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Reference numerals illustrate: the system comprises an acquisition module-100, a calculation module-200, a tracing module-300, a memory-501, a processor-502 and a communication interface-503.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The following describes a fault tracing method, a fault tracing device, electronic equipment and a storage medium of a multistage mechanical seal system according to an embodiment of the application with reference to the accompanying drawings. In view of the above-mentioned problems in the background art, the present application provides a fault tracing method for a multi-stage mechanical seal system, in which a boundary pressure of the multi-stage mechanical seal system and a plurality of monitoring parameters acquired by a sensor are acquired; inputting boundary pressure and a plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of a fault event of the multi-stage mechanical seal system in the solving process to obtain characteristic parameter values of the multi-stage mechanical seal system; and matching the characteristic parameter value with the fault event, and tracing the fault of the multistage mechanical sealing system according to the matching result. Therefore, the internal working state of the multistage seal can be judged, the most probable position of the fault is identified, technicians can conduct targeted treatment, and the problems that the multistage seal system, particularly the abstract mathematical model, is underdefined in solving and cannot be solved are solved.
Specifically, fig. 1 is a flowchart of a fault tracing method of a multistage mechanical seal system according to an embodiment of the present application.
As shown in fig. 1, the fault tracing method of the multistage mechanical seal system comprises the following steps:
in step S101, a boundary pressure of the multi-stage mechanical seal system and a plurality of monitoring parameters acquired by the sensors are acquired.
Specifically, the applicable object of the embodiment of the present application may be a multi-stage mechanical sealing system abstracted into the following model, and is shown in connection with fig. 2:
1) The system interior and boundary are some chambers. A volume of medium is contained in one chamber, and a consistent pressure is considered to be present in one chamber. Only the case of one medium is considered. Transfer of media between the chambers occurs, the transfer rate being measured in terms of flow. The chambers are divided into two types, internal and boundary, the pressure at the boundary being determined by the operating conditions external to the system and not considered to be affected by the characteristics of the system itself.
2) The system contains several mechanical seals (typically 2 to 3). The single stage seal is simple and does not require the use of the present application). The multiple stages of seals are connected in series, namely, the downstream chamber of the upper stage of seal is the upstream chamber of the lower stage of seal. Each mechanical seal has a leak rate (leak rate is also a flow rate) that is determined by the environment surrounding the mechanical seal (including temperature, upstream pressure, downstream pressure. In some cases, the effect of temperature may be ignored) and the parameters of the mechanical seal.
3) Inside of which are contained a number of restriction pipes (also called "coils"). The flow rate of a throttle tube is dependent on its surroundings (upstream and downstream pressure. Less dependent on temperature) and on its characteristic parameters.
4) Including a number of sensors. The sensor monitors the value of the specific physical quantity to obtain a monitoring result, and provides the monitoring result to the analysis method through a storage device, a database and other software and hardware facilities. The monitoring results may be subjected to some preprocessing prior to entering the algorithm.
Meanwhile, the above system includes various parameters, which are defined by the embodiments of the present application for convenience of description, as follows:
first category: characteristic parameters. They are unknown parameters in the part model of the mechanical seal and coil, are a quantification of potential faults, they are not monitored, are the targets for the algorithm to judge;
the second category: boundary pressure. The pressure is the easiest to monitor and therefore in embodiments of the present application it is believed that the boundary pressure is always monitored, which is substantially consistent with engineering practice;
third category: monitored parameters of the parameters except the two types; wherein, in the embodiment of the application, the monitored parameter can refer to other parameters which can be monitored by the sensor besides the boundary pressure and the characteristic parameter in the multi-stage sealing system.
Fourth category: other parameters.
It will be appreciated that the task of embodiments of the present application is to infer the mechanical seal and coil characteristic parameters, chamber pressure, and chamber-to-chamber flow from the monitoring results provided by the sensors.
Optionally, in one embodiment of the application, a chamber model and a component model of a multi-stage mechanical seal system are created; constructing a system physical model according to the cavity model and the component model, wherein the system physical model is expressed in the form ofWherein (1)>And (3) calculating a monitoring parameter by using a system physical model, wherein x is a characteristic parameter, and z is a boundary pressure.
In particular, the above component models are built up by mechanical seals and coils to describe how their flow is calculated from the ambient parameters and the own characteristic parameters (first class parameters). There are a number of different modeling approaches to these models, especially models of mechanical seals.
The internal chambers may be modeled as chambers described above to describe how their pressures are affected by their flow rates to the connected chambers. This model is divided into two forms, medium compressible and non-compressible:
(a) For non-compressible media, the model can be expressed simply as "net flow 0";
(b) For compressible media, the rate of change of pressure is affected by the net flow and the media characteristics.
It should be understood that the system physical model is defined as a model in which all of the characteristic parameters (first type of parameters) and the boundary pressure (second type of parameters) are input, and the prediction of all of the monitoring results (third type of parameters) of the non-boundary pressure is output. This model is solved by the component model and the chamber model simultaneously.
In the embodiments of the present application, all characteristic parameters are described as(first class parameter), boundary pressure is +.>(second kind of parameters), the monitoring result except the boundary pressure is(parameters of the third class). Towards the fault diagnosis requirement, x is defined such that it is 0 at the design point.
The system physical model is recorded as And representing the calculation result of the model on the monitoring result.
In fact, not only the third type of parameters but also the fourth type of parameters can be solved by the first type and the second type of parameters. In an embodiment of the present application, the fourth type of parameter is not listed in the output of the mathematical expression described above.
In step S102, the boundary pressure and a plurality of monitoring parameters are input into a pre-constructed system physical model for solving, and empirical knowledge of a fault event of the multi-stage mechanical seal system is introduced in the solving process, so as to obtain characteristic parameter values of the multi-stage mechanical seal system.
It should be noted that, according to the model form and the specific implementation of the monitoring, the parameters such as the characteristic parameters of the mechanical seal and the coil, the chamber pressure, the flow rate between the chambers, etc. may be presumed to exhibit different problem properties according to the monitoring result provided by the sensor. The classification of these problem properties should not be understood purely from an analytical point of view, but should take into account their actual behavior after being affected by numerical errors, model errors, etc. in the calculation. The specific problem classification is as follows:
(a) And solving the problem. The system physical model can solve all unknowns with certainty based on the monitoring results, and the analysis method thereof will not be discussed.
(b) Overconstraining problems. Mathematically, the system state is solved by the monitoring results without solution (the number of independent monitoring results is greater than the number of independent characteristic parameters to be solved). In other words, the monitoring results may be contradictory. In this case the system model should be changed (mainly by increasing the number of characteristic parameters) or some monitoring results should be discarded to be converted into other problem types, and the analysis method thereof will not be discussed.
(c) Under-constraint problems. Generally, there are multiple combinations of characteristic parameters that will result in the same monitoring result from the system physical model (the number of independent monitoring results is less than the number of independent characteristic parameters to be solved). Such problems are most often the case in practical applications, because the more component models with more undetermined characteristic parameters can accurately describe the possible fault change range of the actual analysis object, but the monitoring information of the sensor cannot be effectively increased easily. Although the characteristic parameters cannot be calculated with certainty, due to the popularity of this situation, an analytical method is urgently needed in engineering applications to solve such problems.
Alternatively, in one embodiment of the application, the empirical knowledge of the introduction of a multi-stage mechanical seal system failure event includes: empirical knowledge of fault events that may occur in a multi-stage mechanical seal system is introduced in the form of a priori probability distribution.
In order to solve the under-constraint problem of the application embodiment, the embodiment of the application carries out calculation based on a system physical model, prior probability and monitoring results so as to solve a specific probability problem and display the results to a user.
Specifically, embodiments of the present application analyze the under-constraint problem using a probabilistic approach. An a priori probability distribution is first assumed for x (in a specific process, x can be defined as a shape that is easy to express its probability distribution when building a physical model of the systemEquation) and then adapt the probability distribution of x to the monitoring result by comparing the result with y. X is recorded as ρ in a priori distribution probability density function b (x) A. The application relates to a method for producing a fibre-reinforced plastic composite The prior distribution can be selected according to understanding of working mechanism, engineering practice experience and the like, and meanwhile mathematical expression of the prior distribution is convenient for calculation and analysis as much as possible.
A specific prior probability distribution adopted by the application is shown in the following formula:
priori probability model extractionI.e.
Each of which isThe setting is performed empirically. The amount of artificial setting is less in the prior probability form, and the method is more convenient and stable in calculation.
Optionally, in one embodiment of the present application, inputting the boundary pressure and the plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of a fault event of the multi-stage mechanical seal system in the solving process, to obtain a characteristic parameter value of the multi-stage mechanical seal system, including: and calculating the system physical model by using the maximum likelihood to obtain the characteristic parameter value.
The embodiment of the application provides a quantitative analysis scheme based on probability, and the analysis result is output in the form of a maximum likelihood system state.
The maximum likelihood system state, given y and z, finds the condition that satisfies the following
I.e. all outputs have the highest prior probability in x consistent with the monitoring. Wherein,as the characteristic parameter value ρ b () And f (x; z) is a system physical model, and y is a monitoring parameter.
Then byThe fourth class of parameters is deduced and the complete system state (complete system state is a set of the first to fourth classes of parameters) is reconstructed.
In particular, the s.t.f (x; z) in the maximum likelihood system state is not a conventional form of constraint in the optimization problem, which is computationally inconvenient. To facilitate computation, transformations are performed to the specific problem, maximizing the prior probability and minimizing the residual between f (x; z) and y in the same computation step.
The difference between the model output f (x; z) and the observed value y is regarded as obeying a probability distribution with small variance, which is formally incorporated into the formula of the maximum likelihood analysis, so that in the embodiment of the application, the simplified form of the maximum likelihood analysis under a specific prior probability distribution, namely the algorithm output form is shown as the following formula:
conversion of problems into
Adjustment ofTo a sufficiently low level until +.>Is small enough.
In step S103, the characteristic parameter value is matched with the fault event, and fault tracing is performed on the multi-stage mechanical seal system according to the matching result.
Therefore, the application judges the internal working state of the multistage seal based on reasonable probability assumption, and identifies the most probable position of the fault, so that technicians can make targeted treatment. Under the condition that the monitoring conditions commonly applied in enterprises are limited, the obtained information is insufficient to accurately solve the state of the multistage sealing system, and a targeted solution is provided for the situation that the underdefined problem is formed.
The fault tracing method of the multistage mechanical seal system is described in a specific embodiment with reference to the accompanying drawings. Fig. 3 illustrates the execution logic of a specific multistage mechanical seal system fault tracing method of the present application. As shown in fig. 3, the algorithm parameters are first configured according to a system model, wherein the system is the multi-stage sealing system shown in fig. 2. In the system of fig. 2, it is required at a pressure p 1 Is a liquid medium and has a pressure p 4 Realizing dynamic sealing between the atmospheres, so that the leakage rate is only q L . Irrespective of the temperature variation. The medium is considered to be incompressible (liquids with a pressure not too high typically appear to be almost incompressible, with the model being calculated as incompressible).
Wherein, the cavity contains:
(a) Upstream of the first stage. Pressure p 1 Is a boundary;
(b) Upstream of the second stage, i.e. downstream of the first stage, the pressure being p 2 Is inside and is monitored;
(c) Three stages upstream, i.e. downstream of the second stage, the pressure being p 3 Is inside and is monitored;
(d) Atmospheric, i.e. three-stage downstream, pressure p 4 Is a boundary;
(e) High pressure leakage line (commonly referred to as such, and in fact not a "leak", these flows are returned by other processing means, not relevant to the application), pressure p 5 Is a boundary.
The pressures in the embodiments of the present application are gauge pressures. P is p 1 The design value is 15.4MPa, and the actual fluctuation is very small; the atmosphere is fixed as p 4 =0mpa; the high pressure leakage line pressure is fixed to be p 5 ＝0.25MPa。
All monitoring results were averaged over a period of 5 minutes and input into the algorithm (corresponding to the pretreatment of the monitoring results as described above).
The system includes 3 seals, 4 restriction tubes. The design leak rate of the seal was 5L/h and the design flow rate of the coil was 375L/h.
According to the flow relationship, the flow identified in FIG. 2 satisfies the following equation (i.e., the chamber model described above), as shown below:
q 1 +q 12 -q 2 -q 25 ＝0
q 2 +q 13 -q 3 -q 35 ＝0
definition of the definition
q H ＝q 25 +q 35
Of all flows, only q H Is monitored.
It should be noted that q, which is the most critical to sealing performance L Q for multiple multi-stage sealing systems in the same unit L The sum is monitored, and the monitoring result of each unit cannot be separated, and the unit is not monitored in the embodiment of the application.
The seal and orifice tube characteristics (i.e., the above component model) are described by the following equations:
q 1 exp(s 1 )＝k SEAL (p 1 -p 2 )+b SEAL
q 1 exp(s 2 )＝k SEAL (p 2 -p 3 )+b SEAL
q 3 exp(s 3 )＝k SEAL (p 3 -p 4 )+b SEAL
q 12 exp(s 12 )＝k THROTTLE_5MPA (p 1 -p 2 )+b THROTTLE_5MPA
q 13 exp(s 13 )＝k THROTTLE_10MPA (p 1 -p 3 )+b THROTTLE_10MPA
q 25 exp(s 25 )＝k THROTTLE_5MPA (p 2 -p 5 )+b THROTTLE_5MPA
q 35 exp(s 35 )＝k THROTTLE_10MPA (p 3 -p 5 )+b THROTTLE_10MPA
wherein the following parameters are calculated by theory:
k SEAL ＝3×(5L/h)/(5MPa)
b SEAL ＝-2×5L/h
k THROTTLE_5MPA ＝0.55×(375L/h)/(5MPa)
b THROTTLE_5MPA ＝-0.45×375L/h
k THROTTLE_10MPA ＝0.55×(375L/h)/(10MPa)
b THROTTLE_10MPA ＝-0.45×375L/h
the rest s 1 ，s 2 ，s 3 ，s 12 ，s 13 ，s 25 ，s 35 The characteristic parameters that need to be determined, i.e. the above-mentioned first type of parameters. In the design state, they should all be 0. Definition x= [ x ] 1 x 2 … x 7 ]＝[s 1 s 2 s 3 s 12 s 13 s 25 s 35 ]。
The second type of parameter corresponds to z= [ z ] 1 z 2 z 3 ]＝[p 1 p 4 p 5 ]. Wherein p is 1 There is a small fluctuation and the other two components are fixed.
The third type of parameters corresponds to y= [ y ] 1 y 2 y 3 ]＝[p 2 p 3 q H ]。
Then, given a priori probability distribution:
wherein, according to the design flow, selectAnd->
The maximum likelihood analysis method is as described above.
For example, p is obtained by averaging the monitoring results over a period of 5 minutes 1 ＝15.440MPa，p 2 ＝10.060MPa，p 3 ＝5.155MPa，q H ＝772.8L/h。
Y= [10.060MPa 5.155MPa 772.80L/h ], z= [15.440MPa 0.25MPa 0MPa ] are input to the algorithm.
Maximum likelihood analysis to obtainThe reconstructed non-boundary monitoring result is +.>Further calculate the non-monitoring quantity
According to the fault tracing method of the multistage mechanical seal system, which is provided by the embodiment of the application, boundary pressure of the multistage mechanical seal system and a plurality of monitoring parameters acquired by a sensor are acquired; inputting boundary pressure and a plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of a fault event of the multi-stage mechanical seal system in the solving process to obtain characteristic parameter values of the multi-stage mechanical seal system; and matching the characteristic parameter value with the fault event, and tracing the fault of the multistage mechanical sealing system according to the matching result. Therefore, the internal working state of the multi-stage seal is judged, and the most probable position of the fault is identified, so that technicians can perform targeted treatment.
Next, a fault tracing device for a multi-stage mechanical seal system according to an embodiment of the present application is described with reference to the accompanying drawings.
Fig. 4 is a schematic block diagram of a fault tracing device of a multi-stage mechanical seal system according to an embodiment of the present application.
As shown in fig. 4, the fault tracing apparatus 10 of a multistage mechanical seal system includes: the system comprises an acquisition module 100, a calculation module 200 and a tracing module 300.
The acquiring module 100 is configured to acquire boundary pressure of the multi-stage mechanical sealing system and a plurality of monitoring parameters acquired by the sensors. The computing module 200 is configured to input the boundary pressure and the plurality of monitoring parameters into a pre-constructed system physical model for solving, and introduce empirical knowledge of a fault event of the multi-stage mechanical seal system in the solving process, so as to obtain a characteristic parameter value of the multi-stage mechanical seal system. And the tracing module 300 is used for matching the characteristic parameter value with the fault event and tracing the fault of the multi-stage mechanical sealing system according to the matching result.
Optionally, in one embodiment of the present application, further includes: a first modeling module for establishing a chamber model and a component model of the multi-stage mechanical seal system; and the second modeling module is used for constructing a system physical model according to the chamber model and the component model.
Alternatively, in one embodiment of the application, the empirical knowledge of the introduction of a multi-stage mechanical seal system failure event includes: empirical knowledge of fault events that may occur in a multi-stage mechanical seal system is introduced in the form of a priori probability distribution.
Optionally, in one embodiment of the present application, the calculating module 200 is specifically configured to calculate the physical model of the system using maximum likelihood to obtain the characteristic parameter value.
Optionally, in an embodiment of the present application, calculating the physical model of the system using maximum likelihood to obtain the characteristic parameter value includes:
wherein,as the characteristic parameter value ρ b (x) And f (x; z) is a system physical model, and y is a monitoring parameter.
It should be noted that the foregoing explanation of the embodiment of the fault tracing method of a multistage mechanical seal system is also applicable to the fault tracing device of a multistage mechanical seal system of this embodiment, and will not be repeated herein.
According to the fault tracing device of the multistage mechanical seal system, which is provided by the embodiment of the application, the boundary pressure of the multistage mechanical seal system and a plurality of monitoring parameters acquired by a sensor are acquired; inputting boundary pressure and a plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of a fault event of the multi-stage mechanical seal system in the solving process to obtain characteristic parameter values of the multi-stage mechanical seal system; and matching the characteristic parameter value with the fault event, and tracing the fault of the multistage mechanical sealing system according to the matching result. And outputting an analysis result in the form of a maximum likelihood system state based on a probability quantitative analysis scheme. Therefore, the internal working state of the multi-stage seal can be judged, and the most probable position of the fault is identified, so that technicians can perform targeted treatment. The method solves the problem that the mathematical model abstracted by the multi-stage mechanical sealing system is underdefined when solving, so that the solution cannot be determined.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
memory 501, processor 502, and a computer program stored on memory 501 and executable on processor 502.
The processor 502 implements the multistage mechanical seal system fault tracing method provided in the above embodiment when executing the program.
Further, the electronic device further includes:
a communication interface 503 for communication between the memory 501 and the processor 502.
Memory 501 for storing a computer program executable on processor 502.
The memory 501 may include high-speed RAM memory and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 501, the processor 502, and the communication interface 503 are implemented independently, the communication interface 503, the memory 501, and the processor 502 may be connected to each other via a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a chip, the memory 501, the processor 502, and the communication interface 503 may perform communication with each other through internal interfaces.
The processor 502 may be a central processing unit (Central Processing Unit, abbreviated as CPU) or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC) or one or more integrated circuits configured to implement embodiments of the present application.
The present embodiment also provides a computer-readable storage medium having a computer program stored thereon, wherein the program when executed by a processor implements the multistage mechanical seal system fault tracing method as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
Claims (6)
1. The fault tracing method for the multistage mechanical seal system is characterized by comprising the following steps of:
acquiring boundary pressure of a multistage mechanical sealing system and a plurality of monitoring parameters acquired by a sensor;
inputting the boundary pressure and the monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of the fault event of the multistage mechanical seal system in the solving process to obtain characteristic parameter values of the multistage mechanical seal system;
matching the characteristic parameter value with the fault event, and performing fault tracing on the multistage mechanical seal system according to a matching result;
the empirical knowledge of the event of a failure of the multi-stage mechanical seal system includes: introducing empirical knowledge of fault events that may occur in the multi-stage mechanical seal system in the form of a priori probability distribution;
inputting the boundary pressure and the plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing empirical knowledge of the fault event of the multi-stage mechanical seal system in the solving process to obtain characteristic parameter values of the multi-stage mechanical seal system, wherein the method comprises the following steps: calculating the system physical model by using maximum likelihood to obtain the characteristic parameter value;
the calculating the physical model of the system by using the maximum likelihood to obtain the characteristic parameter value comprises the following steps:
wherein,as the characteristic parameter value ρ b (x) And f (x; z) is a system physical model, and y is a monitoring parameter.
2. The method of claim 1, wherein prior to acquiring the boundary pressure of the multi-stage mechanical seal system and the plurality of monitored parameters acquired by the sensor, further comprising:
establishing a cavity model and a component model of the multistage mechanical seal system;
and constructing the system physical model according to the cavity model and the component model.
3. The utility model provides a multistage mechanical seal system trouble traceability device which characterized in that includes:
the acquisition module is used for acquiring boundary pressure of the multistage mechanical sealing system and a plurality of monitoring parameters acquired by the sensor;
the computing module is used for inputting the boundary pressure and the plurality of monitoring parameters into a pre-constructed system physical model for solving, and introducing experience knowledge of the fault event of the multistage mechanical seal system in the solving process to obtain characteristic parameter values of the multistage mechanical seal system;
the tracing module is used for matching the characteristic parameter value with the fault event and tracing the fault of the multistage mechanical seal system according to the matching result;
the computing module includes: introducing empirical knowledge of fault events that may occur in the multi-stage mechanical seal system in the form of a priori probability distribution;
the computing module is specifically configured to compute the system physical model by using maximum likelihood to obtain the characteristic parameter value;
the calculating the physical model of the system by using the maximum likelihood to obtain the characteristic parameter value comprises the following steps:
wherein,as the characteristic parameter value ρ b (x) And f (x; z) is a system physical model, and y is a monitoring parameter.
4. A device according to claim 3, further comprising:
a first modeling module for establishing a chamber model and a component model of the multi-stage mechanical seal system;
and the second modeling module is used for constructing the system physical model according to the chamber model and the component model.
5. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the multistage mechanical seal system fault tracing method of any one of claims 1-2.
6. A computer readable storage medium having stored thereon a computer program, the program being executable by a processor for implementing the multistage mechanical seal system fault tracing method of any one of claims 1-2.
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