CN109782743B - Working condition analysis and judgment method and system - Google Patents
Working condition analysis and judgment method and system Download PDFInfo
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- CN109782743B CN109782743B CN201910096406.7A CN201910096406A CN109782743B CN 109782743 B CN109782743 B CN 109782743B CN 201910096406 A CN201910096406 A CN 201910096406A CN 109782743 B CN109782743 B CN 109782743B
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Abstract
The invention provides a working condition analysis and judgment method and a working condition analysis and judgment system, wherein the working condition analysis and judgment method comprises the following steps: acquiring a plurality of first-class parameters for representing the working condition of equipment; defining and dividing a plurality of first-class parameters to obtain a plurality of second-class parameters; carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters; carrying out system simulation processing on the plurality of reference working condition parameters to obtain a plurality of system simulation result values; collecting a plurality of actual working condition parameters of the actual working process of the equipment; comparing a plurality of actual working condition parameters with the reference working condition value according to the reference working condition parameters and the system simulation result value to obtain an actual result value; judging the working condition of the equipment according to the actual working condition parameters and the actual result values; the scheme provided by the invention can monitor the related result of the node to be tested by applying an interpolation algorithm according to the simulation result set under the condition of no system simulation aiming at the new real working condition.
Description
Technical Field
The invention relates to the technical field of testability, in particular to a working condition analysis and judgment method and a working condition analysis and judgment system.
Background
PHM (fault prediction and Health Management) is a brand-new solution for managing Health status that is provided by comprehensively using the latest research results of modern information technology and artificial intelligence technology, and generally has the capabilities of fault detection, fault isolation, enhanced diagnosis, performance detection, fault prediction, Health Management, component life tracking, and the like.
The system simulation is to establish a simulation model which can describe the system structure or behavior process and has a certain logical relationship or quantitative relationship on the basis of analyzing the mutual relationship of all parts of the system according to the purpose of system analysis, and then perform qualitative or quantitative analysis to obtain various required information.
The orthogonal test is a design method for researching multiple factors and multiple levels, and is characterized in that partial representative points are selected from a comprehensive test according to orthogonality and are tested, the representative points have the characteristics of uniform dispersion and neatness and comparability, and more working condition results are calculated according to orthogonal test results of small samples.
At present, a PHM system generally acquires data in a real environment through an automatic control system, a production management system and a newly-arranged sensor of existing physical equipment, and then constructs a relevant fault prediction and health management model through statistical analysis, big data analysis and deep learning. In fact, in the implementation process of the PHM, key monitoring quantity cannot be measured, the conditions of working conditions are complex, and diagnosis and analysis cannot be performed on each working condition combination.
Disclosure of Invention
In view of the above disadvantages of the prior art, an object of the present invention is to provide a method and a system for analyzing and determining a working condition, which are used to solve the problems in the prior art that a critical monitoring amount cannot be measured and a sensor cannot be installed in the actual PHM implementation process.
To achieve the above and other related objects, the present invention provides a method for analyzing and determining operating conditions, comprising the steps of:
acquiring a plurality of first-class parameters for representing the working condition of equipment;
defining and dividing a plurality of first-class parameters to obtain a plurality of second-class parameters;
carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters;
carrying out system simulation processing on the plurality of reference working condition parameters to obtain a plurality of system simulation result values;
collecting a plurality of actual working condition parameters of the actual working process of the equipment;
comparing a plurality of actual working condition parameters with the reference working condition value according to the reference working condition parameters and the system simulation result value to obtain an actual result value;
and judging the working condition of the equipment according to the actual working condition parameters and the actual result values.
Optionally, the defining and dividing the plurality of first-class parameters, and obtaining the plurality of second-class parameters includes the following steps:
according to the value range of the first type of parameters, carrying out value grade division on the first type of parameters to obtain a plurality of second type of parameters; or/and
and according to the type of the first-class parameters, carrying out grade division on the first-class parameters to obtain a plurality of second-class parameters.
Optionally, the operating condition analyzing and determining method further includes the following steps:
and taking two adjacent groups of the reference working condition parameters, judging whether the system simulation result values corresponding to the two adjacent groups of the reference working condition parameters conform to a preset condition, if so, reselecting the second type of parameters, and then carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters.
Optionally, the preset condition at least includes that the simulation result values corresponding to the two adjacent groups of the reference working condition parameters are the same.
Optionally, the comparing, according to the reference working condition parameter and the system simulation result value, the plurality of actual working condition parameters with the reference working condition value includes the following steps:
judging whether the value of the actual working condition parameter is the same as that of the reference working condition parameter or not;
if so, obtaining an actual result value of the actual working condition parameter according to a system simulation result value corresponding to the reference working condition parameter;
if not, according to the reference working condition parameter and the system simulation result value, taking the proximity degree of the reference working condition parameter relative to the actual working condition parameter as a weighted value, and obtaining the actual result value of the actual working condition parameter through an interpolation algorithm.
The invention also provides a working condition analyzing and judging system, which comprises:
the data acquisition module is used for acquiring a plurality of first-class parameters for representing the working condition of the equipment;
the data processing module is used for processing the first type of parameters;
the data monitoring module is used for acquiring a plurality of actual working condition parameters of the actual working process of the equipment;
the decision module is used for comparing a plurality of actual working condition parameters with the reference working condition value according to the reference working condition parameters and the system simulation result value to obtain an actual result value; judging the working condition of the equipment according to the actual working condition parameters or/and the actual result values;
wherein the data processing module comprises:
the working condition defining unit is used for defining and dividing the first type of parameters to obtain a plurality of second type of parameters;
the orthogonal test unit is used for carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters;
and the system simulation unit is used for carrying out system simulation processing on the plurality of reference working condition parameters to obtain a plurality of system simulation result values.
Optionally, the working condition defining unit performs value grade division on the first type of parameters according to the value range of the first type of parameters to obtain a plurality of second type of parameters; or/and
and according to the type of the first-class parameters, carrying out grade division on the first-class parameters to obtain a plurality of second-class parameters.
Optionally, two adjacent groups of the reference working condition parameters are taken, whether the system simulation result values corresponding to the two adjacent groups of the reference working condition parameters meet a preset condition is judged through the processing module, if yes, the second type of parameters are reselected, and then orthogonal test method processing is performed on the second type of parameters to obtain a plurality of reference working condition parameters;
the preset conditions at least comprise that the simulation result values corresponding to the two adjacent groups of the reference working condition parameters are the same.
Optionally, the decision module is used for judging whether the value of the actual working condition parameter is the same as the value of the reference working condition parameter;
if so, obtaining an actual result value of the actual working condition parameter according to a system simulation result value corresponding to the reference working condition parameter;
if not, according to the reference working condition parameter and the system simulation result value, taking the proximity degree of the reference working condition parameter relative to the actual working condition parameter as a weighted value, and obtaining the actual result value of the actual working condition parameter through an interpolation algorithm.
The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the above-described method for analyzing and determining operating conditions.
The invention also provides an electronic terminal, which comprises a processor and a memory, wherein the memory is used for storing the computer program, and the processor is used for executing the computer program stored in the memory so as to enable the terminal to execute the working condition analysis and judgment method.
As described above, the working condition analysis and judgment method firstly defines all working condition ranges, then selects part of the working condition sets and the boundary working condition sets according to the orthogonal test method, and carries out system simulation on each selected working condition to obtain the corresponding simulation result set. Aiming at the new working condition in reality, an interpolation algorithm can be applied according to the simulation result set, and the related result of the node to be tested can be monitored under the condition of no system simulation, so that the diagnosis and prediction capability of the PHM is improved.
Drawings
FIG. 1 is a schematic flow chart of the method for analyzing and determining the operating conditions according to the present invention.
FIG. 2 is a schematic diagram of the present invention illustrating a system for analyzing and determining the operating conditions
Description of the element reference numerals
10 operating mode analysis and judgment system
100 data acquisition module
200 data monitoring module
300 decision module
400 data processing module
410 operating mode defining unit
420 orthogonal test cell
430 system simulation unit
S10-S70
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1, the present invention provides a method for analyzing and determining a working condition, which includes the following steps:
s10: acquiring a plurality of first-class parameters for representing the working condition of equipment;
s20: defining and dividing a plurality of first-class parameters to obtain a plurality of second-class parameters;
s30: carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters;
s40: carrying out system simulation processing on the plurality of reference working condition parameters to obtain a plurality of system simulation result values;
s50: collecting a plurality of actual working condition parameters of the actual working process of the equipment;
s60: comparing a plurality of actual working condition parameters with the reference working condition value according to the reference working condition parameters and the system simulation result value to obtain an actual result value;
s70: and judging the working condition of the equipment according to the actual working condition parameters and the actual result values.
In certain embodiments, step S20: defining a division for a plurality of the first class parameters, and obtaining a plurality of second class parameters comprises the following steps:
according to the value range of the first type of parameters, carrying out value grade division on the first type of parameters to obtain a plurality of second type of parameters; or/and
and according to the type of the first-class parameters, carrying out grade division on the first-class parameters to obtain a plurality of second-class parameters.
In some embodiments, a crystallizer apparatus is taken as an example to illustrate the method for analyzing and determining the operating condition provided by the present invention. The crystallizer is the main equipment for crystallizing and solidifying molten steel into plate blanks in the steel smelting industry. Specifically, the working process of the crystallizer is analyzed, so that a plurality of main parameters which influence the working of the equipment, such as vibration displacement (waveform, amplitude and frequency) of two ends of a groove-shaped container, slab pulling speed, specification and size (width and thickness) of a casting blank, molten steel temperature and the like, can be obtained, and the main parameters can be defined as first-class parameters.
In general, a mold is a continuous casting apparatus that receives molten steel poured from a tundish and solidifies the molten steel into a solid shell having a predetermined cross-sectional shape. The device consists of a frame, a groove-shaped container, a vibration system, a lubricating system and a cooling system. The tank-shaped container is arranged on the frame, receives molten steel from a ladle, starts periodic vibration work under the driving of a vibration system, and changes the molten steel into a casting blank through a cooling system.
In some embodiments, the parameters may have different value ranges and levels, such as the vibration displacement is composed of a waveform, an amplitude and a frequency, in a specific operation, the waveform may be a triangular wave or a sine wave, the amplitude may generally have a value of 1.8mm to 6mm, and the frequency may have a value of 1Hz to 4 Hz. Determining the range and the grade of the amplitude and the frequency under different waveform conditions according to the working range of a hydraulic system or an electric system and allowable displacement loading conditions of the crystallizer; in addition, different molten steel temperatures are determined according to different steel materials, the value of the molten steel temperature can be 1300-1500 ℃, then specification and size of a casting blank, such as the range of 1000-2000 mm wide and 100-400 mm thick, are determined according to user requirements, and the pulling speed is determined according to the temperature and the size, wherein the range and the grade of the pulling speed are 1-4 m/min (meter/minute). Therefore, values and grades of the parameters can be obtained according to the value ranges of different parameters, for example, the amplitude of the parameter can be obtained in three grades of 1.8mm, 3mm and 6mm, each parameter can take an unspecified plurality of values or a plurality of grades, and optionally, the parameters subjected to value range division and grade division are defined as the second parameter. Optionally, the first type of parameter includes a waveform, taking the waveform as an example, the waveform may be a triangular wave or a sinusoidal wave, and the waveform is not a specific value or a value range, so that the waveform may be classified into classes, such as a triangular wave and a sinusoidal wave, in view of different kinds of waveforms. Thus, the combination of the multiple working condition parameters can be obtained, namely, the multiple second-class parameters are obtained. The extreme value range and the grade division of each first type of parameter, namely the working condition parameter value, are defined, and a plurality of grades are divided according to the process characteristics, so that the next orthogonal test is facilitated to determine the reference working condition parameter.
In general, the value of a parameter having a range of values may include taking two boundary values, i.e., a maximum value and a minimum value. In this way, since each parameter has various values and the number of the second-type parameters is large, the test combinations selected according to the second-type parameters are various. For example, there are various combinations that can be selected to perform orthogonal tests, one combination may be four parameters of which the waveform of the vibration displacement is a triangular wave, the amplitude is 1.8mm, the frequency is 1Hz, and the molten steel temperature is 1300 ℃, or one combination may be another number of parameters, and the specific combination may be selected according to the actual requirements of the user, the number is not limited to four, and the value of each parameter is not limited to only taking an extreme value. On one hand, the diversity of parameter combinations can enrich the capacity of samples, but if a comprehensive test is carried out, the test scale is large, the test is difficult to implement due to the limitation of test conditions, system simulation is carried out according to the result of the comprehensive test, the test quantity is large, a plurality of models are generally required to be established according to different quantities of parameter combinations and system simulation, and the workload is large. Therefore, orthogonal test design is carried out on the technology of obtaining abundant sample size, the orthogonal test is a design method for researching multifactor multilevel, part of representative points are selected from a comprehensive test according to orthogonality to carry out the test, the representative points have the characteristics of uniform dispersion and neat comparability, and more working condition results can be calculated according to the orthogonal test result of a small sample.
In some embodiments, an orthogonal test method is adopted, that is, an orthogonal table design mode which can enable the working condition parameter values to have the characteristics of balance and orthogonality is adopted. Preliminary 10 factor 2 levels are assumed, i.e. 10 process parameters, each taking only 2 levels of minimum and maximum. Because of a plurality of parameters, each parameter only sets two levels of extreme values so as to reduce the number of first orthogonal tests; when the number of parameters is small, the typical value level can be added in the middle at proper time. Alternatively, a trial design was performed using section 1/16 with resolution IV. In the orthogonal test method, the resolution IV is expressed as that no main effect is mixed between main effects and second-order interaction effects, and the main effects are mixed between the main effects and third-order interaction effects and between two second-order interaction effects. According to the value gear of each parameter, 32 kinds of reference working condition parameters which need to be subjected to system simulation can be screened out, and the reference working condition parameters generally comprise extreme value working condition parameters or typical working condition parameters. Therefore, part of representative samples, namely the reference working condition parameters, are selected by the orthogonal test method, the representative samples have the characteristics of uniform dispersion and neatness and comparability, and the experiment times of system simulation are reduced. Optionally, the typical operating condition parameter refers to a main operating condition description of the long-term operating state of the device, and the extreme value operating condition parameter refers to an operating condition description which is accidentally generated by the system and is located at an operating capability boundary, such as a molten steel temperature, for example, the value range of the molten steel temperature is 1300 ℃ to 1500 ℃, and it can be understood that 1300 ℃ and 1500 ℃ both belong to the extreme value operating condition parameter.
In some embodiments, taking the crystallizer device as an example, a corresponding simulation model is established according to a mechanical structure, a hydraulic system and a control system of the crystallizer device, and a system simulation method is adopted to perform system simulation on each reference working condition parameter designed by an orthogonal test to obtain a plurality of system simulation result values.
In some embodiments, the method for analyzing and determining the operating condition further comprises the following steps:
and taking two adjacent groups of the reference working condition parameters, judging whether the system simulation result values corresponding to the two adjacent groups of the reference working condition parameters conform to a preset condition, if so, reselecting the second type of parameters, and then carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters.
In some embodiments, the preset condition at least includes that the simulation result values corresponding to the two adjacent sets of the reference operating condition parameters are the same.
In some embodiments, a system simulation result value needs to be verified, which is described by taking crystallizer equipment as an example, for example, the obtained reference working condition parameter includes parameter amplitude, and a value of the amplitude can be divided into 1.8mm and 6mm, generally, the two values can be understood as extreme values under a normal working condition of the equipment, and the equipment deviates from the normal working condition when the amplitude is less than 1.8mm or the amplitude is greater than 6 mm. When the amplitude value is 1.8mm, the obtained simulation result value is the same as the simulation result value obtained when the amplitude is 6mm, or the difference between the system simulation result values obtained by two different amplitude values is too small, the influence of the amplitude on the working condition of the equipment can be considered to be small, the second type of parameters can be redesigned and selected, for example, the amplitude parameters are removed from the selected second type of parameters, orthogonal test design is carried out on the second type of parameters to obtain a plurality of reference working condition parameters, system simulation is carried out on the reference working condition parameters to obtain a plurality of system simulation result values, and the obtained system simulation result values can be determined to be qualified. The above-described determination of the system simulation result value is not limited to the analysis of only one type of parameter, that is, only the amplitude, but also may be performed to determine the system simulation result value corresponding to each of the other parameters.
In addition, in some embodiments, the system simulation result value is verified, which is described by taking crystallizer equipment as an example, for example, the obtained reference working condition parameter includes parameter amplitude, and a value of the amplitude may be 1.8mm and 6mm, a difference between two system simulation result values obtained after the system simulation is too large to determine a constraint condition corresponding to the parameter, the amplitude may be understood as a sensitive parameter, and then the design may be supplemented again, that is, a value grade of the encrypted sensitive parameter may be obtained, for example, a value of the amplitude at this time may be 1.8mm, 3mm, 4.5mm, and 6 mm. After the sensitive parameters are encrypted, the orthogonal test method is carried out to obtain the reference working condition parameters needing system simulation processing, and a plurality of system simulation result values are obtained. The preset condition at this time means that the difference between the system simulation result values corresponding to the two adjacent groups of the reference working condition parameters is too large. The above-described determination of the system simulation result value is not limited to the analysis of only one type of parameter, that is, only the amplitude, but also may be performed to determine the system simulation result value corresponding to each of the other parameters. Here, only the amplitude is described as an example.
In some embodiments, the system simulation result value is verified, and a crystallizer device is taken as an example for explanation, for example, the obtained reference working condition parameter includes parameter amplitude, and the value of the amplitude can be divided into 1.8mm, 3mm and 6mm, the system simulation result value corresponding to the amplitude of 1.8mm is the same as or slightly different from the system simulation result value corresponding to the amplitude of 3mm, and the two system simulation result values corresponding to the amplitude of 1.8mm and the amplitude of 6mm have obvious difference, the amplitude parameter can be understood as a non-sensitive parameter, at this time, the non-sensitive parameter can be sparsely processed, that is, the amplitude value is reselected to be 1.8mm and 6mm, and then the system simulation processing is performed to obtain the system simulation result values corresponding to the two amplitude values. The system simulation result value obtained at this time can be regarded as being qualified. The above-described determination of the system simulation result value is not limited to the analysis of only one type of parameter, that is, only the amplitude, but also may be performed to determine the system simulation result value corresponding to each of the other parameters.
Therefore, the reliability of the system simulation result is improved through the verification of the system simulation result value, a reliable database can be established according to the system simulation result value, and when the actual working condition parameter value of the equipment is detected to fall into the range of the second type of parameter, the actual value can be matched with the database to directly obtain the system simulation result value of the actual working condition parameter value without carrying out system simulation.
In certain embodiments, step S60: comparing the actual working condition parameters with the reference working condition values according to the reference working condition parameters and the system simulation result values to obtain actual result values, and further comprising the following steps of:
judging whether the value of the actual working condition parameter is the same as that of the reference working condition parameter or not;
if so, obtaining an actual result value of the actual working condition parameter according to a system simulation result value corresponding to the reference working condition parameter;
if not, according to the reference working condition parameter and the system simulation result value, taking the proximity degree of the reference working condition parameter relative to the actual working condition parameter as a weighted value, and obtaining the actual result value of the actual working condition parameter through an interpolation algorithm.
In some embodiments, the crystallizer is taken as an example, and the temperature of the molten steel is taken as a parameter, for example, the temperature of the molten steel in the reference working condition parameter is 1300 ℃ to 1500 ℃, the temperatures selected for performing the system simulation are 1300 ℃ and 1500 ℃, and accordingly, a system simulation result value with the temperature of the molten steel being 1300 ℃ and a system simulation result value with the temperature of the molten steel being 1500 ℃ are obtained. If the temperature of the molten steel is 1300 ℃ in the actual work of the crystallizer equipment, the system simulation result value corresponding to 1300 ℃ can be directly obtained according to the system simulation result; if the temperature of the molten steel in the actual work of the equipment is 1400 ℃, the actual working condition parameters and the actual result value corresponding to the temperature of the molten steel of 1400 ℃ can be obtained through an interpolation algorithm by taking the neighbor degree of the reference working condition parameters relative to the actual working condition parameters as a weighted value according to 1300 ℃ and 1500 ℃ of the temperature of the molten steel in the parameters of the reference working condition parameters, the system simulation result value corresponding to the temperature of the molten steel of 1300 ℃ and the system simulation result value corresponding to the temperature of the molten steel of 1500 ℃.
Therefore, when the actually detected working condition parameter value falls into the second type parameter range, the corresponding system simulation result can be obtained without simulating the specific value of the actual working condition parameter, and system simulation is not needed to be carried out on each actually measured parameter value one by one, so that the system simulation result value corresponding to each different parameter value or parameter grade of the actual working condition can be obtained more quickly. Therefore, the working condition of the equipment can be judged according to the actual working condition parameters and the actual result values, the obtained system simulation result values corresponding to the actual parameter values or the parameter levels can be directly or indirectly converted into physical quantities required by the PHM system, and the PHM system can carry out health management on the equipment according to the result values, for example, the PHM system can analyze whether the equipment works under typical working condition or extreme working condition. When the equipment works under the condition of extreme working condition for a long time, such as for crystallizer equipment, the temperature of molten steel is 1500 ℃, the sensor acquires the parameter and performs system simulation, and the PHM system performs analysis according to the simulation result so as to achieve the purpose of managing the health of the crystallizer equipment. The method comprises the steps of selecting parameters and grading, obtaining reference working condition parameters through an orthogonal test method, carrying out system simulation on the reference working condition parameters to obtain system simulation result values, obtaining actual working condition parameters, using the neighbor degree of the reference working condition parameters relative to the actual working condition parameters as a weighted value, obtaining the actual result values of the actual working condition parameters through an interpolation algorithm, reducing the practicability of the sensor, applying the interpolation algorithm according to a simulation result set aiming at new real working conditions, monitoring the relevant results of nodes to be tested under the condition of no system simulation, aligning or forming complementation with real PHM monitoring data, and improving the diagnosis and prediction capabilities of the PHM.
In addition, the invention adopts an orthogonal test method, so that the whole process can ensure that the test has typicality and orderliness on the basis of reducing the test times, and the optimization of working conditions and the high efficiency and reliability of point distribution are realized.
In some embodiments, the system simulation may be a single simulation method or a combination of multiple simulation methods, such as finite element analysis, joint simulation, and semi-physical simulation, and specifically, the system simulation may be selected according to actual conditions of different devices, which is not limited herein.
The working condition analyzing and determining method provided by the present invention is described above by taking the crystallizer device as an example, and the working condition analyzing and determining method provided by the present invention is also applicable to a water pump, an engine or an internal combustion engine, but not limited thereto.
The present invention also provides a system 10 for analyzing and determining a working condition, including:
the data acquisition module 100 is used for acquiring a plurality of first-class parameters for representing the working condition of equipment;
a data processing module 400, configured to process the first type of parameters:
the data monitoring module 200 is used for acquiring a plurality of actual working condition parameters of the actual working process of the equipment;
the decision module 300 is configured to compare the plurality of actual working condition parameters with the reference working condition value according to the reference working condition parameter and the system simulation result value to obtain an actual result value; and judging the working condition of the equipment according to the actual working condition parameters or/and the actual result values.
In some embodiments, the data processing module 400 includes:
the working condition defining unit 410 is configured to define and divide a plurality of the first type parameters to obtain a plurality of second type parameters;
the orthogonal test unit 420 is configured to perform orthogonal test method processing on the plurality of second type parameters to obtain a plurality of reference working condition parameters;
and the system simulation unit 430 is configured to perform system simulation processing on the plurality of reference working condition parameters to obtain a plurality of system simulation result values.
Optionally, the working condition defining unit 410 performs value grade division on the first type of parameters according to the value range of the first type of parameters to obtain a plurality of second type of parameters; or/and
and according to the type of the first-class parameters, carrying out grade division on the first-class parameters to obtain a plurality of second-class parameters.
Optionally, the working condition analyzing and determining system 10 selects two adjacent sets of the reference working condition parameters, and determines whether the system simulation result values corresponding to the two adjacent sets of the reference working condition parameters conform to a preset condition through the processing module 400, if so, reselects the second type of parameters, and performs orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters;
the preset conditions at least comprise that the simulation result values corresponding to the two adjacent groups of the reference working condition parameters are the same.
In some embodiments, the decision module 300 determines whether the value of the actual operating condition parameter is the same as the value of the reference operating condition parameter;
if so, obtaining an actual result value of the actual working condition parameter according to a system simulation result value corresponding to the reference working condition parameter;
if not, according to the reference working condition parameter and the system simulation result value, taking the proximity degree of the reference working condition parameter relative to the actual working condition parameter as a weighted value, and obtaining the actual result value of the actual working condition parameter through an interpolation algorithm.
The working condition analyzing and determining system 10 provided by the present invention can implement the working condition analyzing and determining method provided by the present invention, and the corresponding specific implementation and the corresponding beneficial effects are not repeated herein.
The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the above-described method for analyzing and determining operating conditions.
In conclusion, the present invention effectively overcomes various disadvantages of the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A working condition analyzing and judging method is characterized by comprising the following steps of:
acquiring a plurality of first-class parameters for representing the working condition of equipment;
defining and dividing a plurality of first-class parameters to obtain a plurality of second-class parameters;
carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters;
carrying out system simulation processing on the plurality of reference working condition parameters to obtain a plurality of system simulation result values;
taking two adjacent groups of the reference working condition parameters, judging whether the system simulation result values corresponding to the two adjacent groups of the reference working condition parameters conform to a preset condition, if so, reselecting the second type of parameters, and then carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters, wherein the preset condition at least comprises that the simulation result values corresponding to the two adjacent groups of the reference working condition parameters are the same;
collecting a plurality of actual working condition parameters of the actual working process of the equipment;
comparing a plurality of actual working condition parameters with the reference working condition value according to the reference working condition parameters and the system simulation result value to obtain an actual result value;
and judging the working condition of the equipment according to the actual working condition parameters and the actual result values.
2. The operating condition analyzing and determining method according to claim 1, wherein the defining a division for the plurality of first-type parameters and obtaining a plurality of second-type parameters comprises the following steps:
according to the value range of the first type of parameters, carrying out value grade division on the first type of parameters to obtain a plurality of second type of parameters; or/and
and according to the type of the first-class parameters, carrying out grade division on the first-class parameters to obtain a plurality of second-class parameters.
3. The operating condition analyzing and judging method as claimed in claim 1, wherein the comparing of the plurality of actual operating condition parameters with the reference operating condition value according to the reference operating condition parameter and the system simulation result value comprises the steps of:
judging whether the value of the actual working condition parameter is the same as that of the reference working condition parameter or not;
if so, obtaining an actual result value of the actual working condition parameter according to a system simulation result value corresponding to the reference working condition parameter;
if not, according to the reference working condition parameter and the system simulation result value, taking the proximity degree of the reference working condition parameter relative to the actual working condition parameter as a weighted value, and obtaining the actual result value of the actual working condition parameter through an interpolation algorithm.
4. A system for analyzing and determining a condition, comprising:
the data acquisition module is used for acquiring a plurality of first-class parameters for representing the working condition of the equipment;
the data processing module is used for processing the first type of parameters;
the data monitoring module is used for acquiring a plurality of actual working condition parameters of the actual working process of the equipment;
the decision module is used for comparing a plurality of actual working condition parameters with the reference working condition values according to the reference working condition parameters and the system simulation result values to obtain actual result values; judging the working condition of the equipment according to the actual working condition parameters or/and the actual result values;
wherein the data processing module comprises:
the working condition defining unit is used for defining and dividing the first type of parameters to obtain a plurality of second type of parameters;
the orthogonal test unit is used for carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters;
the system simulation unit is used for carrying out system simulation processing on the reference working condition parameters to obtain a plurality of system simulation result values;
taking two adjacent groups of the reference working condition parameters, judging whether the system simulation result values corresponding to the two adjacent groups of the reference working condition parameters conform to a preset condition through the processing module, if so, reselecting the second type of parameters, and then carrying out orthogonal test method processing on the second type of parameters to obtain a plurality of reference working condition parameters; the preset conditions at least comprise that the simulation result values corresponding to the two adjacent groups of the reference working condition parameters are the same.
5. The working condition analyzing and judging system according to claim 4, wherein the working condition defining unit performs value grade division on the first type of parameters according to the value range of the first type of parameters to obtain a plurality of second type of parameters; or/and
and according to the type of the first-class parameters, carrying out grade division on the first-class parameters to obtain a plurality of second-class parameters.
6. The working condition analysis and determination system according to claim 4, wherein the decision module is used for judging whether the value of the actual working condition parameter is the same as the value of the reference working condition parameter;
if so, obtaining an actual result value of the actual working condition parameter according to a system simulation result value corresponding to the reference working condition parameter;
if not, according to the reference working condition parameter and the system simulation result value, taking the proximity degree of the reference working condition parameter relative to the actual working condition parameter as a weighted value, and obtaining the actual result value of the actual working condition parameter through an interpolation algorithm.
7. A computer-readable storage medium on which a computer program is stored, the program being characterized in that it implements the operating condition analysis determination method according to any one of claims 1 to 3 when executed by a processor.
8. An electronic terminal, comprising: a processor and a memory;
the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory so as to enable the terminal to execute the working condition analysis and judgment method according to any one of claims 1 to 3.
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