CN118248243A - Analysis and detection system and method for gas purification process - Google Patents
Analysis and detection system and method for gas purification process Download PDFInfo
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Abstract
The invention discloses an analysis and detection system and a method for a gas purification process, which belong to the field of data analysis.
Description
Technical Field
The invention belongs to the field of data analysis, and particularly relates to an analysis and detection method and system for a gas purification process.
Background
The gas purification is an important technological process, aims at removing impurities in gas or separating specific components in mixed gas so as to meet the requirements of industry or laboratory on gas purity, plays a key role in a plurality of fields, and has important significance in improving product quality, ensuring safety and environmental health;
In the prior art, during the analysis and detection process of the gas purification process, faults in the purification process cannot be accurately identified according to purified gas data and operation data of all purification components of purification equipment, so that the fault purification components cannot be rapidly positioned, and the problems exist in the prior art;
For example, in chinese patent application publication No. CN116609450a, a carbon tetrafluoride impurity analysis detector is disclosed, comprising: the chromatographic instrument comprises a shell, wherein an installation cavity is arranged in the shell, a chromatograph body and a plurality of air inlets are arranged on the inner wall of the installation cavity, and a gas treatment device is arranged on the outer wall of the shell; after the purified carrier gas and sample gas pass through the shell through the pipeline and are connected with the chromatograph body, the chromatograph body is started for detection, and meanwhile, the gas treatment device is started, and in the detection process, the gas treatment device drives gas to enter the shell from the gas inlet hole, so that the glowing gas exhausted by the instrument and carbon tetrafluoride which possibly leaks are exhausted through the gas treatment device 4, and the glowing gas is prevented from burning detection personnel;
Meanwhile, for example, chinese patent publication No. CN216771590U discloses a gas wash fractionation analysis device under a high-temperature high-pressure sealing system. The device comprises a gas washing reaction device, a natural gas online collection device, an isotope mass spectrometer, a crude oil trace rapid sampling device, a crude oil collection device, a carbon dioxide purification device, a valve, a heating sleeve and a liquid nitrogen cold trap. The device realizes the real-time detection of the raw oil and the gaseous carbon isotopes in the gas washing fractionation process under the high-temperature and high-pressure state, and has the advantages of high analysis speed and high accuracy;
the problems proposed in the background art exist in the above patents: in the prior art, faults in the purification process cannot be accurately identified according to purified gas data and operation data of all purification components of purification equipment in the analysis and detection process of the gas purification process, and further the fault purification components cannot be rapidly positioned.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an analysis and detection system and a method for a gas purification process, wherein the gas to be purified is introduced into gas purification equipment, the output purified gas is obtained, meanwhile, the operation data of all purification components of the gas purification equipment are obtained, the obtained purified gas data and the gas data to be purified are introduced into a data evaluation strategy to evaluate the purification effect, whether the equipment has faults or not is judged, the purified gas data of the equipment which is judged to be faults, the gas data which is required to be purified and the purification information of all purification components are introduced into a primary fault value calculation strategy to evaluate the primary fault value of all purification components, the operation data of all purification components of the gas purification equipment are introduced into a secondary fault value calculation strategy to evaluate the secondary fault value of all purification components, the fault positions of all purification components of the equipment are comprehensively judged and prompted through the obtained primary fault value and the secondary fault value, the faults in the purification process are accurately identified according to the purified gas data and the operation data of all purification components of the purification equipment, and the fault purification components are rapidly positioned.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an analytical detection method for a gas purification process, comprising the specific steps of:
introducing the gas to be purified into gas purification equipment, obtaining the output purified gas, and simultaneously obtaining the operation data of all purification components of the gas purification equipment;
The acquired purified gas data and the gas data needing to be purified are imported into a data evaluation strategy to evaluate the purification effect, and whether equipment is in fault or not is judged;
The purified gas data of the equipment which is judged to be faulty, the gas data which needs to be purified and the purification information of each purification component are imported into a first-level fault value calculation strategy to evaluate the first-level fault value of each purification component;
the operation data of each purification component of the gas purification equipment is imported into a secondary fault value calculation strategy to evaluate the secondary fault value of each purification component;
And comprehensively judging and prompting the fault positions of all the purification components of the equipment through the obtained primary fault value and the secondary fault value.
The method for obtaining the purified gas after output and the operation data of each purification component of the gas purification device comprises the following specific steps:
S11, acquiring the gas composition content of the gas to be purified, storing the gas composition content in a first storage module, introducing the gas to be purified into gas purification equipment, acquiring the output purified gas, acquiring the gas composition content of the purified gas, and storing the gas composition content in a second storage module;
s12, simultaneously acquiring operation data of all purification components of the gas purification equipment in the purification process, and storing the operation data in a third storage module, wherein the operation data of all the purification components comprise operation temperature, operation pressure, operation current and operation voltage data;
the method specifically needs to be described, wherein the step of introducing the obtained purified gas data and the purified gas data to be obtained into a data evaluation strategy to evaluate the purification effect, and the step of judging whether the equipment is faulty comprises the following specific contents:
S21, extracting purified gas data and purified gas data to be obtained, and substituting the purified gas data and the purified gas data to be obtained into a purifying effect evaluation value calculation formula to calculate a purifying effect evaluation value, wherein the purifying effect evaluation value calculation formula is as follows: wherein n is the gas composition type in the purified gas,/> For the duty cycle of the i-th gas composition species,/>Content of the ith gas composition species as purified gas data,/>Median value of content range of i-th gas composition species of purified gas to be obtained,/>For the purified gas i-th gas composition species content range to be obtained, maximum value,/>The minimum value of the content range of the i-th gas composition type of the purified gas to be obtained;
S22, comparing the obtained purifying effect evaluation value with a set purifying effect evaluation threshold, judging that the purifying equipment fails if the purifying effect evaluation value is larger than or equal to the set purifying effect evaluation threshold, and judging that the purifying equipment does not fail if the purifying effect evaluation value is smaller than the set purifying effect evaluation threshold;
the duty ratio coefficient of the i-th gas composition type and the set purification effect evaluation threshold are set as follows: acquiring 5000 groups of gas purification data and gas data to be purified, performing fault detection on equipment, introducing the acquired gas purification data and the gas data to be purified into a purification effect evaluation value calculation formula to calculate a purification effect evaluation value, substituting the calculated purification effect evaluation value and fault judgment result into fitting software, and outputting the duty ratio coefficient of the ith gas component type and the set purification effect evaluation threshold value which meet the highest fault judgment accuracy;
specifically, the method for evaluating the primary fault value of each purification component by introducing the purified gas data of the equipment judged to be faulty, the gas data to be purified and the purification information of each purification component into a primary fault value calculation strategy comprises the following specific steps:
S31, acquiring purified gas data and purified gas data to be obtained, acquiring the difference value between the content of each gas type in the purified gas data and the median value of the content range of each gas type in the purified gas data to be obtained, and marking the difference value as a first difference value set;
s32, obtaining the type of the purified gas and the removal range of each gas of the purified gas of each purification assembly;
s33, importing the acquired first difference value set, the type of purified gas of each purification component and the removal range of each gas of the purified gas into a first-stage fault value calculation formula to calculate a first-stage fault value, wherein the first-stage fault value calculation formula of the j-th purification component is as follows: wherein m () is the number of set elements in brackets, k is a set of gas species having a difference in the first set of differences greater than a set difference threshold value,/> Collection of purified gas species for the j-th purification module,/>Is a first-order duty ratio coefficient,/>For the second duty ratio, Z is the number of gas species in the first difference set with the difference greater than the set difference threshold, C is the number of purification components,/>The removal range of the z-th gas for the j-th purification module,/>The removal of the z-th gas is performed for the c-th purification module.
The method for evaluating the secondary fault value of each purification component by importing the operation data of each purification component of the gas purification device into a secondary fault value calculation strategy comprises the following specific steps:
S41, extracting operation data of all purification components of the gas purification equipment in the purification process, and extracting standard operation data of all purification components of the gas purification equipment at the same time, wherein the standard operation data is set operation data of all purification components of the purification equipment when the purification process is carried out;
S42, substituting the obtained operation data of each purification component of the gas purification equipment in the purification process and the obtained standard operation data of each purification component of the gas purification equipment into a secondary fault value calculation formula to calculate a secondary fault value, wherein the secondary fault value calculation formula of the j-th purification component is as follows: wherein S is the number of species of the running data, T is the purification time, dt is the time integral,/> For the duty cycle of the s-th running data,/>Is the standard value of the s-th operation data of the j-th purification component,/>T-time operation data which is the jth purification component s operation data, wherein/>。
The specific contents of the comprehensive judgment and prompt of the fault positions of all the purification components of the equipment by the obtained primary fault value and the secondary fault value are as follows:
Extracting a primary fault value and a secondary fault value of the purifying component, and substituting the primary fault value and the secondary fault value of the purifying component into a fault judgment value calculation formula to calculate a fault judgment value, wherein the fault judgment value calculation formula of the j purifying component is as follows: Wherein/> Is the first-order fault value duty ratio coefficient,/>Is the duty ratio coefficient of the secondary fault value,/>And arranging the calculated fault judgment values of the purification components in a descending order, selecting the purification component corresponding to the largest fault judgment value as the fault purification component, and prompting a maintainer to repair the fault purification component.
It should be noted that, the primary duty ratio coefficient, the secondary duty ratio coefficient, the duty ratio coefficient of the s-th operation data, the primary fault value duty ratio coefficient and the secondary fault value duty ratio coefficient take the values as follows: and acquiring 5000 groups of purified gas data and purified equipment operation data, simultaneously carrying out fault identification on each purified component of the purified equipment, substituting the purified gas data and the purified equipment operation data into a fault judgment value calculation formula to calculate a fault judgment value, importing the calculated fault judgment value and the fault judgment result into fitting software, and outputting the values of a primary duty ratio coefficient, a secondary duty ratio coefficient, a duty ratio coefficient of s-th operation data, a primary fault value duty ratio coefficient and a secondary fault value duty ratio coefficient which accord with the highest judgment accuracy.
The analysis and detection system for the gas purification process is realized based on the analysis and detection method for the gas purification process, and specifically comprises a data acquisition module, a fault judgment module, a primary fault value evaluation module, a secondary fault value evaluation module, a fault position analysis module and a control module, wherein the data acquisition module is used for guiding gas to be purified into gas purification equipment, acquiring the output purified gas and simultaneously acquiring operation data of each purification component of the gas purification equipment, and the fault judgment module is used for guiding the acquired purified gas data and the gas data to be purified into a data evaluation strategy to evaluate the purification effect and judging whether the equipment has faults.
The first-level fault value evaluation module is used for guiding the purified gas data of the equipment which is judged to be faulty, the gas data which is required to be purified and the purification information of each purification component into the first-level fault value calculation strategy to evaluate the first-level fault value of each purification component, the second-level fault value evaluation module is used for guiding the operation data of each purification component of the gas purification equipment into the second-level fault value calculation strategy to evaluate the second-level fault value of each purification component, and the fault position analysis module is used for comprehensively judging and prompting the fault position of each purification component of the equipment through the acquired first-level fault value and the second-level fault value.
The control module is used for controlling the operation of the data acquisition module, the fault judging module, the primary fault value evaluation module, the secondary fault value evaluation module and the fault position analysis module.
An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
The processor performs an analytical test method for a gas purification process as described above by calling a computer program stored in the memory.
A computer readable storage medium storing instructions that when executed on a computer cause the computer to perform an analytical detection method for a gas purification process as described above.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, the gas to be purified is led into the gas purification equipment, the output purified gas is obtained, meanwhile, the operation data of each purification component of the gas purification equipment is obtained, the obtained purified gas data and the gas data to be purified are led into a data evaluation strategy to evaluate the purification effect, whether the equipment is in fault or not is judged, the purified gas data of the equipment which is judged to be in fault, the gas data to be purified and the purification information of each purification component are led into a primary fault value calculation strategy to evaluate the primary fault value of each purification component, the operation data of each purification component of the gas purification equipment is led into a secondary fault value calculation strategy to evaluate the secondary fault value of each purification component, the fault position of each purification component of the equipment is comprehensively judged and prompted through the obtained primary fault value and the secondary fault value, the fault in the purification process is accurately identified according to the purified gas data and the operation data of each purification component of the purification equipment, and the fault purification component is rapidly positioned.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an overall flow chart of an analytical detection method for a gas purification process according to the present invention;
FIG. 2 is a schematic flow chart of a first-level fault value calculation strategy in an analysis and detection method for a gas purification process according to the present invention;
FIG. 3 is a schematic flow chart of a second-level fault value calculation strategy in an analysis and detection method for a gas purification process according to the present invention;
FIG. 4 is a schematic diagram of the overall framework of an analytical test system for a gas purification process according to the present invention.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Example 1
Referring to fig. 1-3, an embodiment of the present invention is provided: the technical problems solved by the embodiment are as follows: in the prior art, in the analysis and detection process of the gas purification process, faults in the purification process cannot be accurately identified according to purified gas data and operation data of all purification components of purification equipment, and then the fault purification components cannot be rapidly positioned;
an analytical detection method for a gas purification process, comprising the specific steps of:
introducing the gas to be purified into gas purification equipment, obtaining the output purified gas, and simultaneously obtaining the operation data of all purification components of the gas purification equipment;
The acquired purified gas data and the gas data needing to be purified are imported into a data evaluation strategy to evaluate the purification effect, and whether equipment is in fault or not is judged;
The purified gas data of the equipment which is judged to be faulty, the gas data which needs to be purified and the purification information of each purification component are imported into a first-level fault value calculation strategy to evaluate the first-level fault value of each purification component;
the operation data of each purification component of the gas purification equipment is imported into a secondary fault value calculation strategy to evaluate the secondary fault value of each purification component;
comprehensively judging and prompting the fault positions of all the purification components of the equipment through the obtained primary fault values and the secondary fault values;
In this embodiment, introducing the gas to be purified into the gas purifying apparatus, obtaining the output purified gas, and simultaneously obtaining the operation data of each purifying component of the gas purifying apparatus includes the following specific steps:
S11, acquiring the gas composition content of the gas to be purified, storing the gas composition content in a first storage module, introducing the gas to be purified into gas purification equipment, acquiring the output purified gas, acquiring the gas composition content of the purified gas, and storing the gas composition content in a second storage module;
s12, simultaneously acquiring operation data of all purification components of the gas purification equipment in the purification process, and storing the operation data in a third storage module, wherein the operation data of all the purification components comprise operation temperature, operation pressure, operation current and operation voltage data;
this is implemented by one example code:
python
Suppose we have a module for storing the gas composition content
Gas_composition= { } # is initialized to an empty dictionary
Suppose we have a module for storing the operational data of the components during purification
Component_data= { } # is initialized to an empty dictionary
# Obtaining the gas composition content of the gas to be purified, and storing in the first storage module
gas_composition = get_gas_composition(storage_module_1)
Introducing the gas to be purified into a gas purifying device, obtaining the purified gas after output, obtaining the gas composition content of the purified gas, and storing in a second storage module
purified_gas_composition = process_gas(gas_composition, storage_module_2)
# Simultaneously acquiring operation data of each purification component of the gas purification device in the purification process and storing the operation data in the third storage module
component_data = get_component_data(storage_module_3)
Let us assume here that we have a function for deriving the gas composition content and storing it in the corresponding module
def get_gas_composition(storage_module):
The gas composition content is acquired by the "" "and stored in the corresponding module" "".
The specific implementation of pass# requires writing according to your actual requirements
Let us assume here that we have a function for treating the purified gas and storing it in the corresponding module
def process_gas(gas_composition, storage_module):
The purified gas is treated and stored in the corresponding module "" "" ".
The specific implementation of pass# requires writing according to your actual requirements
Assume here that we have a function to acquire and store the operational data of the purification components
def get_component_data(storage_module):
"" "Acquires and stores operational data" "" of the purification component "
return get_component_temperature(storage_module) + get_component_pressure(storage_module) + get_component_current(storage_module) + get_component_voltage(storage_module)
# Obtain the running data of the purification component, here only assuming that we have some simple functions to obtain these data, the implementation needs to be written according to the actual situation.
def get_component_temperature(storage_module):
"" "Acquires and stores temperature data" "";
The return storage module [ 'temperature' ] # is filled in according to actual conditions
def get_component_pressure(storage_module):
The "data" of the pressure is acquired and stored "" "".
The return storage module [ 'pressure' ] # is filled out according to actual conditions
def get_component_current(storage_module):
"" "Acquires and stores current data" "";
the return storage module [ 'current' ] # is filled in according to actual conditions
def get_component_voltage(storage_module):
"" "Acquires and stores voltage data" "";
the return storage module [ 'voltage' ] # is filled out according to actual conditions
The code is only a basic framework, and needs to be modified and supplemented according to actual requirements; for example, code may need to be added for exception handling, error checking, data validation, etc., and furthermore you may need to use a specific library or API to acquire and process running data, e.g., use the 'requests' library of Python to acquire network data, use the 'pandas' library to process and analyze data, etc.;
The method for obtaining the constituent components in the gas includes: 1. gas analysis technology: the measurement of the gas composition is performed using a gas analysis instrument. Common gas analysis techniques include gas chromatography, mass spectrometry, infrared spectrometry, and the like. These techniques allow for rapid and accurate measurement of the concentration of various components in a gas and provide detailed data;
2. Sampling analysis method: the gas sample is collected into a sample bottle or bag through a gas collector, and then analyzed by a gas analysis instrument. The method is suitable for various scenes such as the field, the laboratory and the like, and can acquire the information of various components in the sample;
3.X radiation fluorescence spectrometry: the method utilizes the fluorescence phenomenon of the sample after being irradiated by X rays, and can determine the content of various elements in the sample by detecting characteristic peaks in a fluorescence spectrum. This method is very effective for detection of small amounts of elements;
By the method, the information of the gas composition components can be effectively acquired;
In this embodiment, the obtained purified gas data and the gas data to be purified are led into a data evaluation strategy to evaluate the purification effect, and the judgment of whether the equipment is faulty or not includes the following specific contents:
S21, extracting purified gas data and purified gas data to be obtained, and substituting the purified gas data and the purified gas data to be obtained into a purifying effect evaluation value calculation formula to calculate a purifying effect evaluation value, wherein the purifying effect evaluation value calculation formula is as follows: wherein n is the gas composition type in the purified gas,/> For the duty cycle of the i-th gas composition species,/>Content of the ith gas composition species as purified gas data,/>Median value of content range of i-th gas composition species of purified gas to be obtained,/>For the purified gas i-th gas composition species content range to be obtained, maximum value,/>The minimum value of the content range of the i-th gas composition type of the purified gas to be obtained;
S22, comparing the obtained purifying effect evaluation value with a set purifying effect evaluation threshold, judging that the purifying equipment fails if the purifying effect evaluation value is larger than or equal to the set purifying effect evaluation threshold, and judging that the purifying equipment does not fail if the purifying effect evaluation value is smaller than the set purifying effect evaluation threshold;
the duty ratio coefficient of the i-th gas composition type and the set purification effect evaluation threshold are set as follows: acquiring 5000 groups of gas purification data and gas data to be purified, performing fault detection on equipment, introducing the acquired gas purification data and the gas data to be purified into a purification effect evaluation value calculation formula to calculate a purification effect evaluation value, substituting the calculated purification effect evaluation value and fault judgment result into fitting software, and outputting the duty ratio coefficient of the ith gas component type and the set purification effect evaluation threshold value which meet the highest fault judgment accuracy;
In this embodiment, the step of introducing the purified gas data of the apparatus determined to be faulty, the gas data to be purified, and the purification information of each purification component into the first-order fault value calculation strategy to evaluate the first-order fault value of each purification component includes the following specific steps:
S31, acquiring purified gas data and purified gas data to be obtained, acquiring the difference value between the content of each gas type in the purified gas data and the median value of the content range of each gas type in the purified gas data to be obtained, and marking the difference value as a first difference value set;
S32, obtaining the type of the purified gas and the removal range of each gas of the purified gas of each purification assembly, wherein the removal range of each gas of the purified gas is exemplified, for example, a certain purification assembly removes 25% of oxygen and 20% of nitrogen in the gas, so that the removal range of the oxygen of the purified gas of the purification assembly is 25%, the removal range of the nitrogen is 20%, and the type of the purified gas of the purification assembly is oxygen and nitrogen;
s33, importing the acquired first difference value set, the type of purified gas of each purification component and the removal range of each gas of the purified gas into a first-stage fault value calculation formula to calculate a first-stage fault value, wherein the first-stage fault value calculation formula of the j-th purification component is as follows: wherein m () is the number of set elements in brackets, k is a set of gas species having a difference in the first set of differences greater than a set difference threshold value,/> Collection of purified gas species for the j-th purification module,/>Is a first-order duty ratio coefficient,/>For the second duty ratio, Z is the number of gas species in the first difference set with the difference greater than the set difference threshold, C is the number of purification components,/>The removal range of the z-th gas for the j-th purification module,/>Performing a z-th gas removal zone for the c-th purification module;
In this embodiment, the step of introducing the operation data of each purification component of the gas purification apparatus into the secondary fault value calculation strategy to evaluate the secondary fault value of each purification component includes the following specific steps:
S41, extracting operation data of all purification components of the gas purification equipment in the purification process, and extracting standard operation data of all purification components of the gas purification equipment at the same time, wherein the standard operation data is set operation data of all purification components of the purification equipment when the purification process is carried out;
S42, substituting the obtained operation data of each purification component of the gas purification equipment in the purification process and the obtained standard operation data of each purification component of the gas purification equipment into a secondary fault value calculation formula to calculate a secondary fault value, wherein the secondary fault value calculation formula of the j-th purification component is as follows: wherein S is the number of species of the running data, T is the purification time, dt is the time integral,/> For the duty cycle of the s-th running data,/>Is the standard value of the s-th operation data of the j-th purification component,/>T-time operation data which is the jth purification component s operation data, wherein/>。
In this embodiment, the specific contents of comprehensively judging and prompting the fault positions of all the purification components of the device through the obtained primary fault value and the secondary fault value are as follows:
Extracting a primary fault value and a secondary fault value of the purifying component, and substituting the primary fault value and the secondary fault value of the purifying component into a fault judgment value calculation formula to calculate a fault judgment value, wherein the fault judgment value calculation formula of the j purifying component is as follows: Wherein/> Is the first-order fault value duty ratio coefficient,/>Is the duty ratio coefficient of the secondary fault value,/>Arranging the calculated fault judgment values of the purification components in a descending order, selecting the purification component corresponding to the largest fault judgment value as a fault purification component, and prompting a maintainer to maintain the fault purification component;
It should be noted that, the primary duty ratio coefficient, the secondary duty ratio coefficient, the duty ratio coefficient of the s-th operation data, the primary fault value duty ratio coefficient and the secondary fault value duty ratio coefficient take the values as follows: acquiring 5000 groups of purified gas data and purified equipment operation data, simultaneously carrying out fault identification on each purified component of the purified equipment, substituting the purified gas data and the purified equipment operation data into a fault judgment value calculation formula to calculate a fault judgment value, importing the calculated fault judgment value and the fault judgment result into fitting software, and outputting values of a primary duty ratio coefficient, a secondary duty ratio coefficient, a duty ratio coefficient of s-th operation data, a primary fault value duty ratio coefficient and a secondary fault value duty ratio coefficient which accord with the highest judgment accuracy;
It should be noted that the advantages of this embodiment compared with the prior art are: the method comprises the steps of introducing gas to be purified into gas purification equipment, obtaining output purified gas, simultaneously obtaining operation data of all purification components of the gas purification equipment, introducing the obtained purified gas data and the obtained purified gas data into a data evaluation strategy to evaluate purification effect, judging whether the equipment is faulty, introducing the purified gas data of the equipment which is judged to be faulty, the gas data which is required to be purified and the purification information of all purification components into a primary fault value calculation strategy to evaluate the primary fault value of all purification components, introducing operation data of all purification components of the gas purification equipment into a secondary fault value calculation strategy to evaluate the secondary fault value of all purification components, comprehensively judging and prompting the fault position of all purification components of the equipment through the obtained primary fault value and the secondary fault value, accurately identifying faults in the purification process according to the purified gas data and the operation data of all purification components of the purification equipment, and rapidly positioning the fault purification components.
Example 2
As shown in fig. 4, an analysis and detection system for a gas purification process is implemented based on the above analysis and detection method for a gas purification process, and specifically includes a data acquisition module, a fault judgment module, a primary fault value evaluation module, a secondary fault value evaluation module, a fault position analysis module and a control module, where the data acquisition module is used for introducing a gas to be purified into a gas purification device, acquiring an output purified gas, and simultaneously acquiring operation data of each purification component of the gas purification device, and the fault judgment module is used for introducing the acquired purified gas data and the gas data to be purified into a data evaluation strategy to evaluate the purification effect and judging whether the device is faulty; the first-level fault value evaluation module is used for guiding purified gas data of equipment which is judged to be faulty, gas data which needs to be purified and purification information of all purification components into a first-level fault value calculation strategy to evaluate the first-level fault value of all purification components, the second-level fault value evaluation module is used for guiding operation data of all purification components of the gas purification equipment into a second-level fault value calculation strategy to evaluate the second-level fault value of all purification components, and the fault position analysis module is used for comprehensively judging and prompting the fault position of all purification components of the equipment through the acquired first-level fault value and the second-level fault value; the control module is used for controlling the operation of the data acquisition module, the fault judging module, the primary fault value evaluation module, the secondary fault value evaluation module and the fault position analysis module.
Example 3
The present embodiment provides an electronic device including: a processor and a memory, wherein the memory stores a computer program for the processor to call;
The processor performs one of the analytical detection methods described above for the gas purification process by calling a computer program stored in the memory.
The electronic device may vary greatly in configuration or performance, and can include one or more processors (Central Processing Units, CPU) and one or more memories, where the memories store at least one computer program that is loaded and executed by the processors to implement an analytical detection method for a gas purification process provided by the above-described method embodiments. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Example 4
The present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
the computer program, when run on a computer device, causes the computer device to perform one of the analytical detection methods described above for a gas purification process.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, and the like.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of readable storage medium known in the art.
The principles and embodiments of the present application have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. An analytical detection method for a gas purification process, characterized in that it comprises the following specific steps:
introducing the gas to be purified into gas purification equipment, obtaining the output purified gas, and simultaneously obtaining the operation data of all purification components of the gas purification equipment;
The acquired purified gas data and the gas data needing to be purified are imported into a data evaluation strategy to evaluate the purification effect, and whether equipment is in fault or not is judged;
The purified gas data of the equipment which is judged to be faulty, the gas data which needs to be purified and the purification information of each purification component are imported into a first-level fault value calculation strategy to evaluate the first-level fault value of each purification component;
the operation data of each purification component of the gas purification equipment is imported into a secondary fault value calculation strategy to evaluate the secondary fault value of each purification component;
And comprehensively judging and prompting the fault positions of all the purification components of the equipment through the obtained primary fault value and the secondary fault value.
2. The analytical test method for a gas purification process according to claim 1, wherein the steps of introducing the gas to be purified into the gas purification apparatus, obtaining the purified gas after output, and simultaneously obtaining the operation data of each purification component of the gas purification apparatus, comprise the steps of:
S11, acquiring the gas composition content of the gas to be purified, storing the gas composition content in a first storage module, introducing the gas to be purified into gas purification equipment, acquiring the output purified gas, acquiring the gas composition content of the purified gas, and storing the gas composition content in a second storage module;
S12, simultaneously acquiring operation data of all purification components of the gas purification equipment in the purification process, and storing the operation data in a third storage module, wherein the operation data of all the purification components comprise operation temperature, operation pressure, operation current and operation voltage data.
3. The analytical test method for gas purification process according to claim 2, wherein the step of introducing the obtained purified gas data and the gas data to be purified into a data evaluation strategy to evaluate the purification effect, and the step of judging whether the equipment is out of order comprises the following specific contents:
S21, extracting purified gas data and purified gas data to be obtained, and substituting the purified gas data and the purified gas data to be obtained into a purifying effect evaluation value calculation formula to calculate a purifying effect evaluation value, wherein the purifying effect evaluation value calculation formula is as follows: wherein n is the gas composition type in the purified gas, For the duty cycle of the i-th gas composition species,/>For the content of the i-th gas composition species of the purified gas data,Median value of content range of i-th gas composition species of purified gas to be obtained,/>For the purified gas i-th gas composition species content range to be obtained, maximum value,/>The minimum value of the content range of the i-th gas composition type of the purified gas to be obtained;
s22, comparing the obtained purifying effect evaluation value with a set purifying effect evaluation threshold, judging that the purifying equipment fails if the purifying effect evaluation value is larger than or equal to the set purifying effect evaluation threshold, and judging that the purifying equipment does not fail if the purifying effect evaluation value is smaller than the set purifying effect evaluation threshold.
4. The analytical test method for a gas purification process according to claim 3, wherein the step of introducing the purified gas data of the equipment judged as faulty, the gas data to be purified and the purification information of each purification module into a first-stage fault value calculation strategy to evaluate the first-stage fault value of each purification module comprises the following specific steps:
S31, acquiring purified gas data and purified gas data to be obtained, acquiring the difference value between the content of each gas type in the purified gas data and the median value of the content range of each gas type in the purified gas data to be obtained, and marking the difference value as a first difference value set;
s32, obtaining the type of the purified gas and the removal range of each gas of the purified gas of each purification assembly;
s33, importing the acquired first difference value set, the type of purified gas of each purification component and the removal range of each gas of the purified gas into a first-stage fault value calculation formula to calculate a first-stage fault value, wherein the first-stage fault value calculation formula of the j-th purification component is as follows: wherein m () is the number of set elements in brackets, k is a set of gas species having a difference in the first set of differences greater than a set difference threshold value,/> Collection of purified gas species for the j-th purification module,/>Is a first-order duty ratio coefficient,/>For the second duty ratio, Z is the number of gas species in the first difference set with the difference greater than the set difference threshold, C is the number of purification components,/>The removal range of the z-th gas for the j-th purification module,/>The removal of the z-th gas is performed for the c-th purification module.
5. The analytical test method for a gas purification process according to claim 4, wherein the step of introducing the operation data of each purification component of the gas purification apparatus into a secondary fault value calculation strategy to evaluate the secondary fault value of each purification component comprises the following specific steps:
S41, extracting operation data of all purification components of the gas purification equipment in the purification process, and extracting standard operation data of all purification components of the gas purification equipment at the same time, wherein the standard operation data is set operation data of all purification components of the purification equipment when the purification process is carried out;
S42, substituting the obtained operation data of each purification component of the gas purification equipment in the purification process and the obtained standard operation data of each purification component of the gas purification equipment into a secondary fault value calculation formula to calculate a secondary fault value, wherein the secondary fault value calculation formula of the j-th purification component is as follows: wherein S is the number of species of the running data, T is the purification time, dt is the time integral,/> For the duty cycle of the s-th running data,/>Is the standard value of the s-th operation data of the j-th purification component,/>T-time operation data which is the jth purification component s operation data, wherein,。
6. The analytical detection method for gas purification process according to claim 5, wherein the specific contents of comprehensively judging and prompting the fault positions of all purification components of the equipment by the obtained primary fault value and the secondary fault value are as follows:
Extracting a primary fault value and a secondary fault value of the purifying component, and substituting the primary fault value and the secondary fault value of the purifying component into a fault judgment value calculation formula to calculate a fault judgment value, wherein the fault judgment value calculation formula of the j purifying component is as follows: Wherein/> Is the first-order fault value duty ratio coefficient,/>Is the duty ratio coefficient of the secondary fault value,/>And arranging the calculated fault judgment values of the purification components in a descending order, selecting the purification component corresponding to the largest fault judgment value as the fault purification component, and prompting a maintainer to repair the fault purification component.
7. An analysis and detection system for a gas purification process, which is realized based on the analysis and detection method for a gas purification process according to any one of claims 1 to 6, and is characterized by specifically comprising a data acquisition module, a fault judgment module, a primary fault value evaluation module, a secondary fault value evaluation module, a fault position analysis module and a control module, wherein the data acquisition module is used for introducing gas to be purified into a gas purification device, acquiring output purified gas, and simultaneously acquiring operation data of each purification component of the gas purification device, and the fault judgment module is used for introducing the acquired purified gas data and the gas data to be purified into a data evaluation strategy to evaluate the purification effect and judging whether the device is faulty.
8. The analysis and detection system for gas purification process according to claim 7, wherein the primary failure value evaluation module is used for introducing purified gas data of equipment determined to be failed, gas data required to be purified and purification information of each purification component into a primary failure value calculation strategy to evaluate primary failure values of each purification component, the secondary failure value evaluation module is used for introducing operation data of each purification component of the gas purification equipment into a secondary failure value calculation strategy to evaluate secondary failure values of each purification component, and the failure position analysis module is used for comprehensively determining and prompting failure positions of each purification component of the equipment through the obtained primary failure values and the obtained secondary failure values; the control module is used for controlling the operation of the data acquisition module, the fault judging module, the primary fault value evaluation module, the secondary fault value evaluation module and the fault position analysis module.
9. An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
The processor performs an analytical detection method for a gas purification process according to any one of claims 1-6 by invoking a computer program stored in said memory.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform an analytical detection method for a gas purification process according to any one of claims 1 to 6.
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