CN117969075A - Flow valve monitoring system and method for gas purification process - Google Patents
Flow valve monitoring system and method for gas purification process Download PDFInfo
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Abstract
The invention discloses a flow valve monitoring system and a flow valve monitoring method for a gas purification process, which belong to the field of testing of static balance of machines, acquire pressure and flow of gas passing through an input end and an output end of a flow valve, guide the pressure and the flow into a valve first monitoring coefficient calculation model to calculate a valve first monitoring coefficient, compare the calculated valve abnormal coefficient with a set valve abnormal setting coefficient, perform maintenance early warning of the flow valve, and comprehensively judge the service condition of the valve by accurately and comprehensively analyzing the air tightness of the valve and the transmission data of the valve, thereby improving the accuracy of monitoring valve damage and further improving the control precision in the gas purification process.
Description
Technical Field
The invention belongs to the field of testing of static balance of machines, and particularly relates to a flow valve monitoring system and method for a gas purification process.
Background
Gas purification refers to the process of removing or reducing impurities in a gas to achieve a specific purity requirement, and is a common gas purification process, filtration: by using a filter, solid particles and liquid droplets in the gas are left behind to prevent them from entering the purification system, adsorbing: the adsorbent (such as active carbon, molecular sieve and the like) is used for adsorbing impurity molecules in gas, such as water vapor, oil vapor, organic matters and the like, the adsorbent has high surface area and specific adsorption performance, the performance and air tightness of the valve are particularly important in the purification process, however, the air tightness of the valve and the transmission data of the valve cannot be accurately and comprehensively analyzed in the prior art, the service condition of the valve is comprehensively judged, the accuracy of monitoring the damage of the valve is reduced, the control precision in the gas purification process is influenced, and the problems exist in the prior art;
A valve monitoring method and system is disclosed, for example, in chinese patent publication No. CN 111175041B. The method comprises the following steps: acquiring the current actual load of the running equipment to be monitored; acquiring configuration information of all valves in a distributed control system; the configuration information is the current actual opening of the valve; determining association data according to the configuration information and the association relation; the associated data are pressure, flow and post-valve temperature corresponding to the configuration information; and determining the current running state of the valve according to the current actual load, the configuration information and the associated data. The invention can timely find the valve leakage, and realize real-time on-line monitoring of the valve state;
the problems proposed in the background art exist in the above patents: the prior art cannot accurately and comprehensively analyze the air tightness of the valve and the transmission data of the valve, so that the service condition of the valve is comprehensively judged, the accuracy of monitoring the damage of the valve is reduced, and the control accuracy in the gas purification process is influenced.
Disclosure of Invention
The invention provides a flow valve monitoring system and a method for a gas purification process, wherein purified gas is input into a flow valve from rated pressure and rated flow, the pressure and flow of the gas passing through an output end of the flow valve are obtained, meanwhile, the content of each component of the purified gas passing through the input end and the output end of the flow valve is obtained, the pressure and the flow of the obtained gas passing through the input end and the output end of the flow valve are led into a valve first monitoring coefficient calculation model to calculate a valve first monitoring coefficient, the content of each component of the obtained purified gas passing through the input end and the output end of the flow valve is led into a valve second monitoring coefficient calculation model to calculate a valve second monitoring coefficient, the calculated valve first monitoring coefficient and the calculated valve second monitoring coefficient are led into a valve abnormal coefficient calculation formula to calculate a valve abnormal coefficient, the calculated valve abnormal coefficient is compared with a set valve abnormal setting coefficient, the maintenance of the flow valve is carried out, the service condition of the valve is comprehensively analyzed accurately through the air tightness and the transmission data of the valve, the service condition of the valve is improved, the early warning accuracy of the valve in the monitoring process is further improved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a flow valve monitoring method for a gas purification process, comprising the specific steps of:
S1, inputting purified gas into a flow valve from rated pressure and rated flow, acquiring the pressure and flow of the gas passing through an output end of the flow valve, and simultaneously acquiring the content of each component of the purified gas at the input end and the output end of the flow valve;
s2, leading the pressure and the flow of the obtained gas passing through the input end and the output end of the flow valve into a valve first monitoring coefficient calculation model to calculate a valve first monitoring coefficient;
s3, the content of each component of the purified gas at the input end and the output end of the obtained flow valve is led into a valve second monitoring coefficient calculation model to calculate a valve second monitoring coefficient;
s4, leading the calculated first monitoring coefficient and the calculated second monitoring coefficient of the valve into a valve abnormal coefficient calculation formula to calculate the valve abnormal coefficient;
S5, comparing the calculated valve abnormality coefficient with a set valve abnormality setting coefficient, and carrying out maintenance early warning on the flow valve.
Specifically, the step S1 includes the following specific steps:
S11, the purified gas with rated pressure and rated flow is input into the input end of the flow valve, the flow valve operates at a set opening, pressure sensors are arranged at the input end and the output end of the flow valve in a set monitoring time period to collect the gas pressure at the output end of the flow valve, and meanwhile, the flow sensors are arranged at the input end and the output end of the flow valve to collect the gas flow at the output end of the flow valve, wherein the set opening is selected according to the use habit of a user, the set opening is preferably 50%, the rated pressure is preferably half of the pressure maximum value safely set by the flow valve, and the rated flow is preferably the flow maximum value safely set by the flow valve;
s12, collecting the content of each component in purified gas at the input end and the output end of a flow valve through a gas component sensor;
S13, storing the gas pressure and the gas flow of the input end and the output end of the flow valve obtained at each moment in a first storage module, and storing the content of each component in the purified gas of the input end and the output end of the flow valve obtained at each moment in a second storage module.
Specifically, the first monitoring coefficient calculation model of the valve in S2 includes the following specific contents:
s21, acquiring pressure and flow of an output end in a set monitoring time period, and simultaneously acquiring purified gas of rated pressure and rated flow of a finished product flow valve at an input end, wherein the finished product flow valve outputs a pressure standard value and a flow standard value at the output end;
S22, leading the obtained pressure and flow of the output end in a set monitoring time period into an average value calculation formula to calculate an average value of the gas pressure and the average value of the gas flow of the output end, wherein the average value calculation formula of the gas pressure is as follows: wherein T is the starting time of the monitoring time period,/> Is the output end pressure value at the moment t/>To monitor the duration,/>For the time integration constant, the gas flow average value calculation formula is: /(I)Wherein/>The output end flow value at the time t;
S23, substituting the calculated average value of the gas pressure and the average value of the gas flow at the output end, the obtained standard value of the pressure, the flow and the standard value of the flow of the finished product of the valve at the output end in a valve first monitoring coefficient calculation formula to calculate a valve first monitoring coefficient, wherein the valve first monitoring coefficient calculation formula is as follows: Wherein/> Outputting a pressure standard value for the finished product flow valve at an output end,/>Output flow standard value for finished product flow valve at output end,/>Is the duty ratio coefficient of standard deviation,/>Is a floating difference duty cycle, wherein/(And/>；
The damage degree of the valve is evaluated through the pressure and flow floating of the valve in a set time period, so that the accuracy of judging the damage degree of the valve is improved;
specifically, the second monitoring coefficient calculation model in S3 includes the following specific steps:
S31, obtaining the content of each component in the purified gas at the input end and the output end of the flow valve in the monitoring time period;
s32, introducing the content of each component in the obtained purified gas at the input end and the output end of the flow valve into a second monitoring coefficient calculation formula to calculate a second monitoring coefficient, wherein the second monitoring coefficient calculation formula is as follows: wherein n is the component quantity in the purified gas at the output end of the flow valve,/> Content ratio of ith component at output end of flow valve,/>The content ratio of the ith component of the input end of the flow valve;
the gas tightness of the flow valve is effectively analyzed by comprehensively calculating the contents of each component in the purified gas at the input end and the output end of the flow valve.
Specifically, the step S4 includes the following specific steps:
s41, acquiring the calculated first monitoring coefficient and the calculated second monitoring coefficient of the valve;
s42, substituting the obtained valve first monitoring coefficient and the valve second monitoring coefficient into a valve abnormal coefficient calculation formula to calculate the valve abnormal coefficient, wherein the valve abnormal coefficient calculation formula is as follows: Wherein/> Is the air tightness coefficient,/>。
The method has the advantages that the air tightness of the valve and the transmission data of the valve are accurately and comprehensively analyzed, the service condition of the valve is comprehensively judged, the accuracy of monitoring the damage of the valve is improved, and the control precision in the gas purification process is further improved;
specifically, the specific steps of S5 are as follows:
S51, extracting the calculated valve abnormality coefficient, and comparing the calculated valve abnormality coefficient with a set valve abnormality setting coefficient;
and S52, if the obtained valve abnormality coefficient is greater than or equal to the set valve abnormality setting coefficient, displaying that the valve is damaged and maintained, and if the obtained valve abnormality coefficient is smaller than the set valve abnormality setting coefficient, displaying that the valve is in normal operation.
The airtight coefficient, the standard deviation ratio coefficient, the floating difference ratio coefficient and the valve abnormality setting coefficient are as follows: acquiring pressure, flow and content data of each component of 5000 groups of valves in the operation process, adopting 500 experts in the field to classify the normal operation and abnormal operation of the produced valves, substituting the pressure, flow and content data of each component in the operation process into a valve abnormal coefficient calculation formula to calculate valve abnormal coefficients, importing the calculated valve abnormal coefficients and classification results into fitting software, and outputting values of optimal airtight coefficients, standard difference value duty ratio coefficients, floating difference value duty ratio coefficients and valve abnormal setting coefficients which accord with judgment accuracy.
A flow valve monitoring system for a gas purification process based on the above-described flow valve monitoring method for a gas purification process, comprising:
The data acquisition module is used for inputting purified gas into the flow valve from rated pressure and rated flow, acquiring the pressure and flow of the gas passing through the output end of the flow valve, and simultaneously acquiring the content of each component of the purified gas at the input end and the output end of the flow valve;
The valve first monitoring coefficient calculation model construction module is used for guiding the pressure and the flow of the acquired gas passing through the input end and the output end of the flow valve into the valve first monitoring coefficient calculation model to calculate the valve first monitoring coefficient;
The valve second monitoring coefficient calculation model construction module is used for guiding the content of each component of the purified gas at the input end and the output end of the obtained flow valve into the valve second monitoring coefficient calculation model to calculate the valve second monitoring coefficient;
The valve anomaly coefficient calculation module is used for guiding the calculated valve first monitoring coefficient and valve second monitoring coefficient into a valve anomaly coefficient calculation formula to calculate the valve anomaly coefficient;
The maintenance early warning module is used for comparing the calculated valve abnormality coefficient with the set valve abnormality setting coefficient and carrying out maintenance early warning on the flow valve;
The control module is used for controlling the operation of the data acquisition module, the valve first monitoring coefficient calculation model construction module, the valve second monitoring coefficient calculation model construction module, the valve abnormal coefficient calculation module and the maintenance early warning module, wherein the valve first monitoring coefficient calculation model construction module, the valve second monitoring coefficient calculation model construction module, the valve abnormal coefficient calculation module, the maintenance early warning module and the control module are integrated in the processing terminal.
An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
The processor performs a flow valve monitoring 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 a flow valve monitoring method for a gas purification process as described above.
Compared with the prior art, the invention has the beneficial effects that:
The purified gas is input into the flow valve through rated pressure and rated flow, the pressure and flow of the gas passing through the output end of the flow valve are obtained, meanwhile, the content of each component of the purified gas passing through the input end and the output end of the flow valve is obtained, the pressure and the flow of the obtained gas passing through the input end and the output end of the flow valve are led into a valve first monitoring coefficient calculation model to calculate a valve first monitoring coefficient, the content of each component of the obtained purified gas passing through the input end and the output end of the flow valve is led into a valve second monitoring coefficient calculation model to calculate a valve second monitoring coefficient, the calculated valve first monitoring coefficient and the calculated valve second monitoring coefficient are led into a valve abnormal coefficient calculation formula to calculate a valve abnormal coefficient, the calculated valve abnormal coefficient is compared with a set valve abnormal setting coefficient, maintenance early warning of the flow valve is carried out, the use condition of the valve is comprehensively analyzed accurately through comprehensive analysis, the accuracy of valve damage monitoring is improved, and the control accuracy in the gas purification process is further improved.
Drawings
FIG. 1 is a schematic flow diagram of a flow valve monitoring method for a gas purification process according to the present invention;
FIG. 2 is a schematic diagram of the overall framework of a flow valve monitoring system for a gas purification process according to the present invention;
FIG. 3 is a schematic diagram of a flow valve monitoring structure according to the present invention.
In the figure: 1. a flow valve; 2. a data acquisition module; 3. and processing the terminal.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments.
Example 1
Referring to fig. 1, an embodiment of the present invention is provided: a flow valve monitoring method for a gas purification process, which realizes the monitoring of a flow valve through a flow valve monitoring structure shown in fig. 3, and comprises the following specific steps:
S1, inputting purified gas into a flow valve from rated pressure and rated flow, acquiring the pressure and flow of the gas passing through an output end of the flow valve, and simultaneously acquiring the content of each component of the purified gas at the input end and the output end of the flow valve;
s2, leading the pressure and the flow of the obtained gas passing through the input end and the output end of the flow valve into a valve first monitoring coefficient calculation model to calculate a valve first monitoring coefficient;
s3, the content of each component of the purified gas at the input end and the output end of the obtained flow valve is led into a valve second monitoring coefficient calculation model to calculate a valve second monitoring coefficient;
s4, leading the calculated first monitoring coefficient and the calculated second monitoring coefficient of the valve into a valve abnormal coefficient calculation formula to calculate the valve abnormal coefficient;
S5, comparing the calculated valve abnormality coefficient with a set valve abnormality setting coefficient, and carrying out maintenance early warning on the flow valve.
In this embodiment, it should be specifically described that S1 includes the following specific steps:
S11, the purified gas with rated pressure and rated flow is input into the input end of the flow valve, the flow valve operates at a set opening, pressure sensors are arranged at the input end and the output end of the flow valve in a set monitoring time period to collect the gas pressure at the output end of the flow valve, and meanwhile, the flow sensors are arranged at the input end and the output end of the flow valve to collect the gas flow at the output end of the flow valve, wherein the set opening is selected according to the use habit of a user, the set opening is preferably 50%, the rated pressure is preferably half of the pressure maximum value safely set by the flow valve, and the rated flow is preferably the flow maximum value safely set by the flow valve;
Writing a complete C language code to simulate the process can be very complex and require abstractions to the physical equipment, e.g., you need to handle data reading of flow and pressure sensors, handle data collection, and perform data analysis, etc. The following is a very basic example code framework that uses random numbers to simulate changes in flow and pressure. In practical applications you need to use the actual sensor data.
This step is implemented by example code as follows:
#include<stdio.h>
#include<stdlib.h>
#include<time.h>
flow/pressure type definition
typedef struct {
Flow;// flow
Float pressure;// pressure
} PressureFlowData;
Structure of/(flow valve)
typedef struct {
Int open_delay;// opening degree
PressureFlowData input _data;// input data
PressureFlowData output _data;// output data
} ValveData;
Flow valve with// initialization
void init_valve(ValveData* valve) {
Valve- > open_delay=50;// set opening 50%
Valve- > input_data. Flow=0.0f;// input flow is initialized to 0
Valve- > input_data. Pressure=0.0f;// pressure initialization to 0
Valve- > output_data. Flow=0.0f;// output flow is initialized to 0
Valve- > output_data. Pressure=0.0f;// pressure initialization to 0
}
Setting flow valve opening
void set_valve_open_degree(ValveData* valve, int degree) {
if (degree<0 || degree>100) {
printf("Invalid valve open degree\n");
return;
}
valve->open_degree = degree;
}
Setting flow and pressure monitoring time
void set_data_sampling_time(ValveData* valve, int seconds) {
The// setting your sampling time here may involve thread synchronization issues, etc
}
Flow/pressure data acquisition
void get_data(ValveData* valve) {
Where flow and pressure data is obtained, it may be necessary to read data from sensors, etc
}
int main() {
ValveData valve;
init_valve(&valve);
Set_valve_open_gap (& valve, 50);// set opening to 50%
Set_data_sampling_time (& valve, 5); data is sampled every 5 seconds by the/(setting)
While (1) {// uses infinite loops as an example here, you may need to add logic such as exit conditions in practical applications
Get_data (& valve);// get data
printf("Input flow: %.2f, Pressure: %.2f\n", valve.input_data.flow, valve.input_data.pressure);
printf("Output flow: %.2f, Pressure: %.2f\n", valve.output_data.flow, valve.output_data.pressure);
Sleep (1)// update output once per second, you may need more complex logic to process the data in practice, e.g., send to a server, etc.;
}
return 0;
}
s12, collecting the content of each component in purified gas at the input end and the output end of a flow valve through a gas component sensor;
S13, storing the gas pressure and the gas flow of the input end and the output end of the flow valve obtained at each moment in a first storage module, and storing the content of each component in the purified gas of the input end and the output end of the flow valve obtained at each moment in a second storage module.
In this embodiment, it should be specifically described that the first monitoring coefficient calculation model of the valve in S2 includes the following specific contents:
s21, acquiring pressure and flow of an output end in a set monitoring time period, and simultaneously acquiring purified gas of rated pressure and rated flow of a finished product flow valve at an input end, wherein the finished product flow valve outputs a pressure standard value and a flow standard value at the output end;
S22, leading the obtained pressure and flow of the output end in a set monitoring time period into an average value calculation formula to calculate an average value of the gas pressure and the average value of the gas flow of the output end, wherein the average value calculation formula of the gas pressure is as follows: wherein T is the starting time of the monitoring time period,/> Is the output end pressure value at the moment t/>In order to monitor the duration of the time,For the time integration constant, the gas flow average value calculation formula is: /(I)Wherein/>The output end flow value at the time t;
the following is a simple example of a C language function that calculates the average of the output gas pressure and flow over a given period of time;
#include<stdio.h>
#include<time.h>
Structure for storing pressure and flow
typedef struct {
Float pressure;// pressure
Flow;// flow
} PressureFlowData;
Defining an array to store data over a period of time
# DEFINE SAMPLE _COUNT 10// sample number
PressureFlowData samples[SAMPLE_COUNT];
Definition of monitoring period
# Define MONITORING _TIME 60// monitoring TIME (units: seconds)
Declaration of the function
void collect_data(PressureFlowData* data);
float calculate_average_pressure(PressureFlowData* samples, int count);
float calculate_average_flow(PressureFlowData* samples int count);
int main() {
Array of/(and/or initialization samples)
for (int i = 0; i<SAMPLE_COUNT; ++i) {
samples[i].pressure = 0.0f;
samples[i].flow = 0.0f;
}
Data collection/simulation
PressureFlowData current_data;
collect_data(¤t_data);
Mean value of// calculation
float average_pressure = calculate_average_pressure(samples, SAMPLE_COUNT);
float average_flow = calculate_average_flow(samples, SAMPLE_COUNT);
Printing result
printf("Average Output Pressure: %.2f bar\n", average_pressure);
printf("Average Output Flow: %.2f m³/h\n", average_flow);
return 0;
}
Data collection function simulating acquisition of data from sensors
void collect_data(PressureFlowData* data) {
Where// should be the actual data collection logic, e.g. reading data from the sensor
The following are analog data
Data- > pressure= ((flow) RAND ()/rand_max) ×10.0f;// generating a random number between 0 and 0 as pressure
Data- > flow= ((flow) RAND ()/rand_max) 10.0 f;// generating a random number between 0 and 10 as traffic
}
Function of the mean value of the calculated pressure
float calculate_average_pressure(PressureFlowData* samples, int count) {
float sum = 0.0f;
for (int i = 0; i<count; ++i) {
sum += samples[i].pressure;
}
return sum / count;
}
Function of// calculating flow average
float calculate_average_flow(PressureFlowData* samples, int count) {
float sum = 0.0f;
for (int i = 0; i<count; ++i) {
sum += samples[i].flow;
}
return sum / count;
}
In this example, a 'PressureFlowData' structure is defined to store pressure and flow data, an array of 'samples' is used to store data over a period of time, the 'collect _data' function is used to simulate the process of acquiring data from the sensor, and the 'calculate_average_pressure' and 'calculate_average_flow' functions are used to calculate the average of pressure and flow, respectively;
S23, substituting the calculated average value of the gas pressure and the average value of the gas flow at the output end, the obtained standard value of the pressure, the flow and the standard value of the flow of the finished product of the valve at the output end in a valve first monitoring coefficient calculation formula to calculate a valve first monitoring coefficient, wherein the valve first monitoring coefficient calculation formula is as follows: Wherein/> Outputting a pressure standard value for the finished product flow valve at an output end,/>Output flow standard value for finished product flow valve at output end,/>Is the duty ratio coefficient of standard deviation,/>Is a floating difference duty cycle, wherein/(And/>；
The damage degree of the valve is evaluated through the pressure and flow floating of the valve in a set time period, so that the accuracy of judging the damage degree of the valve is improved;
in this embodiment, it should be specifically described that the second monitoring coefficient calculation model in S3 includes the following specific steps:
S31, obtaining the content of each component in the purified gas at the input end and the output end of the flow valve in the monitoring time period;
s32, introducing the content of each component in the obtained purified gas at the input end and the output end of the flow valve into a second monitoring coefficient calculation formula to calculate a second monitoring coefficient, wherein the second monitoring coefficient calculation formula is as follows: wherein n is the component quantity in the purified gas at the output end of the flow valve,/> Content ratio of ith component at output end of flow valve,/>The content ratio of the ith component of the input end of the flow valve;
the gas tightness of the flow valve is effectively analyzed by comprehensively calculating the contents of each component in the purified gas at the input end and the output end of the flow valve.
In this embodiment, it should be specifically described that S4 includes the following specific steps:
s41, acquiring the calculated first monitoring coefficient and the calculated second monitoring coefficient of the valve;
s42, substituting the obtained valve first monitoring coefficient and the valve second monitoring coefficient into a valve abnormal coefficient calculation formula to calculate the valve abnormal coefficient, wherein the valve abnormal coefficient calculation formula is as follows: Wherein/> Is the air tightness coefficient,/>。
The method has the advantages that the air tightness of the valve and the transmission data of the valve are accurately and comprehensively analyzed, the service condition of the valve is comprehensively judged, the accuracy of monitoring the damage of the valve is improved, and the control precision in the gas purification process is further improved;
in this embodiment, the specific steps of S5 are as follows:
S51, extracting the calculated valve abnormality coefficient, and comparing the calculated valve abnormality coefficient with a set valve abnormality setting coefficient;
and S52, if the obtained valve abnormality coefficient is greater than or equal to the set valve abnormality setting coefficient, displaying that the valve is damaged and maintained, and if the obtained valve abnormality coefficient is smaller than the set valve abnormality setting coefficient, displaying that the valve is in normal operation.
The airtight coefficient, the standard deviation ratio coefficient, the floating difference ratio coefficient and the valve abnormality setting coefficient are as follows: acquiring pressure intensity, flow rate and content data of each component of 5000 groups of valves in the operation process, adopting 500 experts in the field to classify the normal operation and abnormal operation of the produced valves, substituting the pressure intensity, flow rate and content data of each component in the operation process into a valve abnormal coefficient calculation formula to calculate valve abnormal coefficients, importing the calculated valve abnormal coefficients and classification results into fitting software, and outputting values of optimal airtight coefficients, standard difference value duty ratio coefficients, floating difference value duty ratio coefficients and valve abnormal setting coefficients which accord with judgment accuracy;
It should be noted that the advantages of this embodiment compared with the prior art are: the purified gas is input into the flow valve through rated pressure and rated flow, the pressure and flow of the gas passing through the output end of the flow valve are obtained, meanwhile, the content of each component of the purified gas passing through the input end and the output end of the flow valve is obtained, the pressure and the flow of the obtained gas passing through the input end and the output end of the flow valve are led into a valve first monitoring coefficient calculation model to calculate a valve first monitoring coefficient, the content of each component of the obtained purified gas passing through the input end and the output end of the flow valve is led into a valve second monitoring coefficient calculation model to calculate a valve second monitoring coefficient, the calculated valve first monitoring coefficient and the calculated valve second monitoring coefficient are led into a valve abnormal coefficient calculation formula to calculate a valve abnormal coefficient, the calculated valve abnormal coefficient is compared with a set valve abnormal setting coefficient, maintenance early warning of the flow valve is carried out, the use condition of the valve is comprehensively analyzed accurately through comprehensive analysis, the accuracy of valve damage monitoring is improved, and the control accuracy in the gas purification process is further improved.
Example 2
As shown in fig. 2, a flow valve monitoring system for a gas purification process, which is implemented based on the above-mentioned flow valve monitoring method for a gas purification process, includes: the data acquisition module is used for inputting purified gas into the flow valve from rated pressure and rated flow, acquiring the pressure and flow of the gas passing through the output end of the flow valve, and simultaneously acquiring the content of each component of the purified gas at the input end and the output end of the flow valve;
The valve first monitoring coefficient calculation model construction module is used for guiding the pressure and the flow of the acquired gas passing through the input end and the output end of the flow valve into the valve first monitoring coefficient calculation model to calculate the valve first monitoring coefficient;
The valve second monitoring coefficient calculation model construction module is used for guiding the content of each component of the purified gas at the input end and the output end of the obtained flow valve into the valve second monitoring coefficient calculation model to calculate the valve second monitoring coefficient;
The valve anomaly coefficient calculation module is used for guiding the calculated valve first monitoring coefficient and valve second monitoring coefficient into a valve anomaly coefficient calculation formula to calculate the valve anomaly coefficient;
The maintenance early warning module is used for comparing the calculated valve abnormality coefficient with the set valve abnormality setting coefficient and carrying out maintenance early warning on the flow valve;
The control module is used for controlling the operation of the data acquisition module, the valve first monitoring coefficient calculation model construction module, the valve second monitoring coefficient calculation model construction module, the valve abnormal coefficient calculation module and the maintenance early warning module, wherein the valve first monitoring coefficient calculation model construction module, the valve second monitoring coefficient calculation model construction module, the valve abnormal coefficient calculation module, the maintenance early warning module and the control module are integrated in a processing terminal shown in fig. 3.
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 flow valve monitoring 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, wherein the memories have at least one computer program stored therein that is loaded and executed by the processors to implement a flow valve monitoring 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 a flow valve monitoring method for a gas purification process as described above.
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. Usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tape), optical media (e.g., DVD), or semiconductor media. 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.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the partitioning of units is merely one way of partitioning, and there may be additional ways of partitioning in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
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.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. A flow valve monitoring method for a gas purification process, comprising the specific steps of:
S1, inputting purified gas into a flow valve from rated pressure and rated flow, acquiring the pressure and flow of the gas passing through an output end of the flow valve, and simultaneously acquiring the content of each component of the purified gas at the input end and the output end of the flow valve;
s2, leading the pressure and the flow of the obtained gas passing through the input end and the output end of the flow valve into a valve first monitoring coefficient calculation model to calculate a valve first monitoring coefficient;
s3, the content of each component of the purified gas at the input end and the output end of the obtained flow valve is led into a valve second monitoring coefficient calculation model to calculate a valve second monitoring coefficient;
s4, leading the calculated first monitoring coefficient and the calculated second monitoring coefficient of the valve into a valve abnormal coefficient calculation formula to calculate the valve abnormal coefficient;
S5, comparing the calculated valve abnormality coefficient with a set valve abnormality setting coefficient, and carrying out maintenance early warning on the flow valve.
2. A flow valve monitoring method for a gas purification process according to claim 1, wherein S1 comprises the following specific steps:
S11, inputting purified gas with rated pressure and rated flow into an input end of a flow valve, running the flow valve at a set opening, setting pressure sensors at the input end and the output end of the flow valve to collect the gas pressure at the output end of the flow valve in a set monitoring time period, and setting flow sensors at the input end and the output end of the flow valve to collect the gas flow at the output end of the flow valve;
s12, collecting the content of each component in purified gas at the input end and the output end of a flow valve through a gas component sensor;
S13, storing the gas pressure and the gas flow of the input end and the output end of the flow valve obtained at each moment in a first storage module, and storing the content of each component in the purified gas of the input end and the output end of the flow valve obtained at each moment in a second storage module.
3. The method for monitoring a flow valve in a gas purification process according to claim 2, wherein the calculation model of the first monitoring coefficient of the valve in S2 comprises the following specific contents:
s21, acquiring pressure and flow of an output end in a set monitoring time period, and simultaneously acquiring purified gas of rated pressure and rated flow of a finished product flow valve at an input end, wherein the finished product flow valve outputs a pressure standard value and a flow standard value at the output end;
S22, leading the obtained pressure and flow of the output end in a set monitoring time period into an average value calculation formula to calculate an average value of the gas pressure and the average value of the gas flow of the output end, wherein the average value calculation formula of the gas pressure is as follows: wherein T is the starting time of the monitoring time period,/> Is the output end pressure value at the moment t/>To monitor the duration,/>For the time integration constant, the gas flow average value calculation formula is: /(I)Wherein/>The output flow value at time t.
4. A flow valve monitoring method for a gas purification process according to claim 3, wherein S2 further comprises the following specific steps:
S23, substituting the calculated average value of the gas pressure and the average value of the gas flow at the output end, the obtained standard value of the pressure, the flow and the standard value of the flow of the finished product of the valve at the output end in a valve first monitoring coefficient calculation formula to calculate a valve first monitoring coefficient, wherein the valve first monitoring coefficient calculation formula is as follows: Wherein/> Outputting a pressure standard value for the finished product flow valve at an output end,/>Output flow standard value for finished product flow valve at output end,/>Is the duty ratio coefficient of standard deviation,/>Is a floating difference duty cycle, wherein/(And/>。
5. The method for monitoring a flow valve for a gas purification process according to claim 4, wherein the second monitoring coefficient calculation model in S3 comprises the following specific steps:
S31, obtaining the content of each component in the purified gas at the input end and the output end of the flow valve in the monitoring time period;
s32, introducing the content of each component in the obtained purified gas at the input end and the output end of the flow valve into a second monitoring coefficient calculation formula to calculate a second monitoring coefficient, wherein the second monitoring coefficient calculation formula is as follows: wherein n is the component quantity in the purified gas at the output end of the flow valve,/> Content ratio of ith component at output end of flow valve,/>The content ratio of the ith component at the input end of the flow valve.
6. The method for monitoring a flow valve for a gas purification process according to claim 5, wherein S4 comprises the following steps:
s41, acquiring the calculated first monitoring coefficient and the calculated second monitoring coefficient of the valve;
s42, substituting the obtained valve first monitoring coefficient and the valve second monitoring coefficient into a valve abnormal coefficient calculation formula to calculate the valve abnormal coefficient, wherein the valve abnormal coefficient calculation formula is as follows: Wherein/> Is the air tightness coefficient,/>。
7. A flow valve monitoring method for a gas purification process according to claim 6, wherein the specific steps of S5 are as follows:
S51, extracting the calculated valve abnormality coefficient, and comparing the calculated valve abnormality coefficient with a set valve abnormality setting coefficient;
and S52, if the obtained valve abnormality coefficient is greater than or equal to the set valve abnormality setting coefficient, displaying that the valve is damaged and maintained, and if the obtained valve abnormality coefficient is smaller than the set valve abnormality setting coefficient, displaying that the valve is in normal operation.
8. A flow valve monitoring system for a gas purification process, which is realized based on a flow valve monitoring method for a gas purification process according to any one of claims 1-7, characterized by a data acquisition module for inputting purified gas from a rated pressure and rated flow into a flow valve, acquiring the pressure and flow of the gas through the output end of the flow valve, and simultaneously acquiring the content of each component of the purified gas at the input end and the output end of the flow valve;
The valve first monitoring coefficient calculation model construction module is used for guiding the pressure and the flow of the acquired gas passing through the input end and the output end of the flow valve into the valve first monitoring coefficient calculation model to calculate the valve first monitoring coefficient;
The valve second monitoring coefficient calculation model construction module is used for guiding the content of each component of the purified gas at the input end and the output end of the obtained flow valve into the valve second monitoring coefficient calculation model to calculate the valve second monitoring coefficient;
The valve anomaly coefficient calculation module is used for guiding the calculated valve first monitoring coefficient and valve second monitoring coefficient into a valve anomaly coefficient calculation formula to calculate the valve anomaly coefficient;
The maintenance early warning module is used for comparing the calculated valve abnormality coefficient with the set valve abnormality setting coefficient and carrying out maintenance early warning on the flow valve;
the control module is used for controlling the operation of the data acquisition module, the valve first monitoring coefficient calculation model construction module, the valve second monitoring coefficient calculation model construction module, the valve abnormal coefficient calculation module and the maintenance early warning module.
9. An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
The flow valve monitoring method for a gas purification process according to any one of claims 1-7, characterized in that the processor executes a flow valve monitoring method for a gas purification process by invoking a computer program stored in the memory.
10. A computer readable storage medium storing instructions which, when run on a computer, cause the computer to perform a flow valve monitoring method for a gas purification process according to any one of claims 1 to 7.
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