CN117574681B - Sensor service life prediction method based on oil smoke gas interference - Google Patents
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Abstract
The invention discloses a sensor life prediction method based on oil smoke gas interference, which changes the concentration of oil smoke gas on the premise of keeping the environmental temperature unchanged by a relational expression between the sensor life and the performance degradation rate under the stress condition, calculates linear fitting parameters between the concentration of the oil smoke gas and the performance degradation rate of the sensor, and further obtains the life value of the sensor under the environmental temperature when the oil smoke gas is interfered; and finally calculating a life prediction value of the sensor at the working temperature when the oil smoke gas is interfered according to the pre-finger factor value when the oil smoke gas is interfered. The prediction method has the advantages of high accuracy, simplicity and convenience in operation, wide application and the like, and can help a user predict the service life of the sensor in an actual oil smoke environment, so that the risk of bringing due to sensor failure is reduced.
Description
Technical Field
The invention belongs to the technical field of computer data analysis, and particularly relates to a sensor life prediction method based on oil smoke gas interference.
Background
The combustible gas sensor is a converter for converting the volume fraction of a certain combustible gas (such as natural gas) into a corresponding electric signal, and the sensor for detecting the concentration of the combustible gas is mostly a catalytic combustion sensor, and the service life of the sensor is 3-5 years under ideal environment. The whole life cycle of the combustible gas sensor after production mainly comprises two stages of storage and use, degradation in the two stages can cause the performance index of the gas sensor to be reduced, and the poor reliability of the combustible gas sensor can cause the phenomena of missing report, false report and the like of the sensor; in addition, the lifetime of a gas detector (including both stationary gas alarms and portable gas alarms) sensor has a great relationship with the concentration to which it is exposed. Such as: a stationary flammable gas alarm was exposed to 10% lel flammable gas for a lifetime of about 6 months, and if exposed to 40% lel flammable gas, only 2 months.
In the prior art, the prediction method for the service life of the sensor mainly obtains the service life of the device through extrapolation of acceleration test data, the acceleration degradation test optimization design mainly relates to five aspects of an acceleration degradation model, a stress loading mode, an optimization target, a test variable, a limiting condition and a solving algorithm, patent CN111966966A discloses a feasible region analysis method for parameters of a sensor measurement error model, determines the real service life of equipment in the first time, then determines the pseudo service life of the equipment, and finally determines the feasible region of a measurement error model mean value and a standard deviation according to the real service life of the equipment in the first time and the pseudo service life, thereby solving the problem of measurement errors in degradation data of the residual service life estimation of high-reliability equipment so as to carry out subsequent maintenance decision analysis; however, no related study is currently performed on the life prediction of the sensor under the interference of the oil smoke gas, the oil smoke gas mainly comprises fine particles, sedimentation particles, volatile Organic Compounds (VOCs) and the like, and when the sensor works in an oil smoke gas environment for a long time, the oil smoke gas can seriously affect the performance of the sensor, so that the life of the sensor is shortened; therefore, an accurate and effective prediction method for the service life of the sensor under the interference of the oil smoke is needed.
Disclosure of Invention
The invention aims to provide a prediction method of the service life of a sensor under the interference of oil smoke gas, which comprises the following specific technical scheme:
The sensor life prediction method based on oil smoke gas interference is characterized in that the sensor is a combustible gas sensor, and the prediction method comprises the following four steps:
Step S1, a performance degradation model of the sensor under the interference of ambient temperature and oil smoke gas is established, and a relational expression between the service life of the sensor and the performance degradation rate under the stress condition is obtained.
Further, in the accelerated degradation experiment of the sensor, the ambient temperature isThe thermodynamic temperature is adopted, and the concentration of the oil smoke gas is/>；
The degradation rate of the sensor is kept constant under the condition that the stress condition is unchanged, and then the performance degradation model of the sensor under the conditions of ambient temperature and oil smoke gas interference is expressed as:
In the method, in the process of the invention, Is at time t, ambient temperature/>And soot gas concentration/>The performance parameters of the device under the condition,For initial performance parameters of the sensor,/>Is ambient temperature/>And soot gas concentration/>Sensor performance degradation rate under the condition, t is time.
Further, the performance degradation rate of the sensor is selected from the resistance value drift rate of the sensor under clean air as a performance parameter, and the ambient temperature is selected from-10 ℃ to 75 ℃.
Further, the failure threshold of the sensor is set to be 60% of the initial value of the performance parameter, the service life of the sensor is inversely proportional to the degradation rate under the stress condition, and the relation expression between the service life and the degradation rate is:
In the method, in the process of the invention, To at ambient temperature/>And soot gas concentration/>Life value of sensor under condition,/>To at ambient temperature/>And soot gas concentration/>Performance degradation rate of the sensor under conditions.
And S2, changing the oil smoke gas concentration on the premise that the ambient temperature is kept unchanged, and calculating a linear fitting parameter between the oil smoke gas concentration and the performance degradation rate of the sensor according to the performance degradation rates of the sensor under different oil smoke gas concentration conditions.
Further, the oil smoke gas concentration in the accelerated degradation experiment is changed, different oil smoke gas concentrations are set, and the performance degradation rate observation values of each sensor under the different oil smoke gas concentration conditions are counted.
Setting n different oil smoke gas concentrationsThe method comprises the steps of using m sensors to accelerate degradation under the condition of each oil smoke gas concentration, measuring the performance degradation rate of the sensors, and obtaining a degradation rate set，/>，/>，/>Indicating the concentration of the oil smoke gas/>Degradation rate of the next jth sensor.
Further, ambient temperatureAnd soot gas concentration/>Rate of performance degradation of sensor under conditions。
Further, discrete point coordinates of the concentration of the oil smoke gas and the performance degradation rate of the sensor are obtained:。
Further, the linear fitting condition is satisfied between the concentration of the oil smoke gas and the performance degradation rate of the sensor: In the above, the ratio of/> And/>Are all band solving parameters.
Further, the parameters are solved using least squaresAnd/>Define the optimization function/>Pair/>And/>The partial derivatives are respectively calculated and the partial derivatives are calculated,
Obtaining parameters from the partial derivativesAnd/>Is solved by:
In the method, in the process of the invention, And/>The calculated average value of the oil smoke gas concentration and the performance degradation rate of the sensor,，/>。
And step S3, the linear fitting parameters are brought into a relation between the service life of the sensor and the performance degradation rate under the stress condition, and the service life value of the sensor at the ambient temperature when the oil smoke gas is interfered is obtained.
Further, the method for calculating the life value of the sensor at the ambient temperature when the oil smoke gas is interfered comprises the following steps: relational expression between oil smoke gas concentration and performance degradation rate of sensorAnd carrying out the performance degradation model to obtain:
In the method, in the process of the invention, To at ambient temperature/>And soot gas concentration/>Life value of the sensor under the condition.
And S4, obtaining a factor value before finger when the oil smoke gas is interfered according to an Arrhenius equation between the ambient temperature and the service life value of the sensor, and then introducing the factor value before finger into the equation, so that the service life predicted value of the sensor at the working temperature when the oil smoke gas is interfered can be calculated.
Further, the Arrhenius equation is satisfied between the service life of the sensor and the ambient temperature T: In the above, the ratio of/> For Boltzmann constant, take/>，/>For material activation energy,/>Is the concentration of oil smoke gas/>The pre-finger factor under the condition, which is positively correlated with the concentration of the oil smoke gas, will/>，/>And T is carried in to obtain the concentration of the oil smoke gas/>Pre-finger factor values under conditions.
Further, according to the Arrhenius equation,In the above, the ratio of/>Is the life prediction value of the sensor at the working temperature when the oil smoke gas is interferedFor the working temperature of the sensor, the concentration of the lampblack gas/>And under the condition that the pre-finger factor value is brought in, the life prediction value of the sensor at the working temperature when the oil smoke gas is interfered can be calculated.
Compared with the prior art, the invention has the beneficial effects that:
According to the sensor life prediction method based on the oil smoke gas interference, the linear fitting parameter between the oil smoke gas concentration and the performance degradation rate of the sensor is calculated through the relation between the sensor life and the performance degradation rate under the stress condition, and the life prediction value of the sensor under the working temperature when the oil smoke gas is interfered is finally calculated according to the factor value before the oil smoke gas is interfered; the prediction method can help a user to accurately predict the service life of the sensor in an actual oil smoke environment, so that the risk brought by sensor failure is reduced.
Drawings
Fig. 1 is a flowchart of a sensor life prediction method based on oil smoke gas interference in an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the present invention will be clearly and completely described below, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
As shown in fig. 1, a flow chart of a method for predicting service life of a sensor based on oil smoke gas interference is shown, the sensor in the method is a catalytic combustion type combustible gas sensor, a detection part of the sensor specifically comprises a high-temperature resistant catalyst layer prepared on the surface of a platinum resistor, and combustible gas is catalytically combusted on the surface at a certain temperature, so that the temperature of the platinum resistor is increased, the resistance value of the resistor is changed, and the concentration value of the combustible gas is obtained.
The sensor life prediction method based on the oil smoke gas interference comprises the following four steps:
Step S1, a performance degradation model of the sensor under the interference of ambient temperature and oil smoke gas is established, and a relational expression between the service life of the sensor and the performance degradation rate under the stress condition is obtained.
In order to fit the performance degradation track of the sensor with the oil smoke gas interference, a performance degradation model under the oil smoke gas interference needs to be established first, and the performance degradation characteristic parameters of each device under the condition of acceleration stress (such as temperature, voltage, current and the like) are solved, so that the life value under the condition is estimated according to the failure threshold value.
In the accelerated degradation experiment of the sensor, the ambient temperature isThe thermodynamic temperature is adopted, and the concentration of the oil smoke gas is/>; According to preconditions of a performance degradation model equation, the degradation rate of the sensor is considered to be constant under the condition that the stress condition is unchanged, and then the performance degradation model of the sensor under the conditions of ambient temperature and oil smoke gas interference is expressed as:。
In the method, in the process of the invention, Is at time t, ambient temperature/>And soot gas concentration/>The performance parameters of the device under the condition,For initial performance parameters of the sensor,/>Is ambient temperature/>And soot gas concentration/>Sensor performance degradation rate under the condition, t is time.
It should be noted that, in this embodiment, the performance degradation rate of the sensor selects the resistance value drift rate of the sensor under clean air as the performance parameter, the ambient temperature is selected to be-10-75 ℃, the performance of the gas sensor is changed after a period of time under the condition of accelerated degradation until the sensor fails, and whether the sensor fails or not cannot be intuitively judged, so that whether the sensor fails or not needs to be determined according to the failure threshold value, and since the gas sensor has a plurality of performance parameters and a plurality of corresponding failure criteria, the main failure judgment criteria of the gas sensor include: sensor resistance drift under clean air60%, Sensor sensitivity to detection gas is reduced/>3 Sensitivity drift/>60% Increase in response time and recovery time by 10s.
In all failure determination criteria, the sensor resistance under clean air is relatively easy to measure, so in this embodiment, the failure threshold of the sensor is set to be 60% of the initial value, and according to the inverse proportion of the service life of the sensor and the degradation rate under stress conditions, the relational expression between the two is obtained:
In the method, in the process of the invention, To at ambient temperature/>And soot gas concentration/>Life value of sensor under condition,/>To at ambient temperature/>And soot gas concentration/>Performance degradation rate of the sensor under conditions.
And S2, changing the oil smoke gas concentration on the premise that the ambient temperature is kept unchanged, and calculating a linear fitting parameter between the oil smoke gas concentration and the performance degradation rate of the sensor according to the performance degradation rates of the sensor under different oil smoke gas concentration conditions.
And (3) changing the oil smoke gas concentration in the accelerated degradation experiment, setting different oil smoke gas concentrations, and counting the performance degradation rate observation values of each sensor under the different oil smoke gas concentrations.
Setting n different oil smoke gas concentrationsSoot gas concentration/>The method is characterized in that the method is regulated by an oil smoke gas generator, m sensors are used for accelerating degradation under each oil smoke gas concentration, the performance degradation rate of the sensors is measured, and a degradation rate set/>，/>，，/>Indicating the concentration of the oil smoke gas/>Degradation rate of the next jth sensor.
Ambient temperatureAnd soot gas concentration/>Rate of performance degradation of sensor under conditions/>。
Obtaining the discrete point coordinates of the oil smoke gas concentration and the performance degradation rate of the sensor:。
The linear fitting condition is satisfied between the oil smoke gas concentration and the performance degradation rate of the sensor: In the above, the ratio of/> And/>Are all band solving parameters.
Solving parameters using least squaresAnd/>Define the optimization function/>Pair/>And/>The partial derivatives are respectively calculated and the partial derivatives are calculated,
Obtaining parameters from the partial derivativesAnd/>Is solved by:
In the method, in the process of the invention, And/>The calculated average value of the oil smoke gas concentration and the performance degradation rate of the sensor,，/>。
And step S3, the linear fitting parameters are brought into a relation between the service life of the sensor and the performance degradation rate under the stress condition, and the service life value of the sensor at the ambient temperature when the oil smoke gas is interfered is obtained.
The method for calculating the life value of the sensor at the ambient temperature when the oil smoke gas is interfered comprises the following steps: relational expression between oil smoke gas concentration and performance degradation rate of sensorAnd carrying out the performance degradation model to obtain:
In the method, in the process of the invention, To at ambient temperature/>And soot gas concentration/>Life value of the sensor under the condition.
And S4, obtaining a factor value before finger when the oil smoke gas is interfered according to an Arrhenius equation between the ambient temperature and the service life value of the sensor, and then introducing the factor value before finger into the equation, so that the service life predicted value of the sensor at the working temperature when the oil smoke gas is interfered can be calculated.
The Arrhenius equation is satisfied between the service life of the sensor and the ambient temperature T: In the above, the ratio of/> For Boltzmann constant, take/>，/>For material activation energy,/>Is the concentration of oil smoke gas/>The pre-finger factor under the condition, which is positively correlated with the concentration of the oil smoke gas, will/>，/>And T is carried in to obtain the concentration of the oil smoke gas/>Pre-finger factor values under conditions.
According to the arrhenius equation,In the above, the ratio of/>Is the life prediction value of the sensor at the working temperature when the oil smoke gas is interferedFor the working temperature of the sensor, the concentration of the lampblack gas/>And under the condition that the pre-finger factor value is brought in, the life prediction value of the sensor at the working temperature when the oil smoke gas is interfered can be calculated.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (3)
1. The method for predicting the service life of the sensor based on the oil smoke gas interference is characterized by comprising the following steps of:
step S1, a performance degradation model of a sensor under the interference of ambient temperature and oil smoke gas is established, and a relational expression between the service life of the sensor and the performance degradation rate under the stress condition is obtained;
In the accelerated degradation experiment of the sensor, the ambient temperature is The thermodynamic temperature is adopted, and the concentration of the oil smoke gas is/> ；
The degradation rate of the sensor is kept constant under the condition that the stress condition is unchanged, and then the performance degradation model of the sensor under the conditions of ambient temperature and oil smoke gas interference is expressed as:
；
In the method, in the process of the invention, Is at time t, ambient temperature/>And soot gas concentration/>Performance parameters under conditions,/>For initial performance parameters of the sensor,/>Is ambient temperature/>And soot gas concentration/>The performance degradation rate of the sensor under the condition, wherein t is time;
The failure threshold value of the sensor is set to be 60% of the initial value of the performance parameter, the service life of the sensor is inversely proportional to the degradation rate under the stress condition, and the relation expression between the service life and the degradation rate is:
；
In the method, in the process of the invention, To at ambient temperature/>And soot gas concentration/>Life value of sensor under condition,/>At ambient temperatureAnd soot gas concentration/>Performance degradation rate of the sensor under conditions;
Step S2, changing the concentration of the oil smoke gas on the premise of keeping the ambient temperature unchanged, and calculating a linear fitting parameter between the concentration of the oil smoke gas and the performance degradation rate of the sensor according to the performance degradation rates of the sensor under different oil smoke gas concentration conditions;
changing the oil smoke gas concentration in the accelerated degradation experiment, setting different oil smoke gas concentrations, and counting the performance degradation rate observation values of each sensor under the different oil smoke gas concentrations;
Setting n different oil smoke gas concentrations The method comprises the steps of using m sensors to accelerate degradation under the condition of each oil smoke gas concentration, measuring the performance degradation rate of the sensors, and obtaining a degradation rate set，/>，/>Indicating the concentration of the oil smoke gas/>Degradation rate of the next jth sensor;
Ambient temperature And soot gas concentration/>Rate of performance degradation of sensor under conditions/>；
Obtaining the discrete point coordinates of the oil smoke gas concentration and the performance degradation rate of the sensor:
；
The linear fitting condition is satisfied between the oil smoke gas concentration and the performance degradation rate of the sensor: In the above, the ratio of/> And/>All are belt solving parameters;
solving parameters using least squares And/>Define the optimization function/>Pair/>And/>Respectively obtaining partial derivatives:
；
；
obtaining parameters from the partial derivatives And/>Is solved by:
；
；
In the method, in the process of the invention, And/>The calculated average value of the oil smoke gas concentration and the performance degradation rate of the sensor,，/>；
Step S3, the linear fitting parameters are brought into a relation between the service life of the sensor and the performance degradation rate under the stress condition, and the service life value of the sensor at the ambient temperature when the oil smoke gas is interfered is obtained;
The method for calculating the life value of the sensor at the ambient temperature when the oil smoke gas is interfered comprises the following steps:
Relational expression between oil smoke gas concentration and performance degradation rate of sensor And carrying out the performance degradation model to obtain:
；
In the method, in the process of the invention, To at ambient temperature/>And soot gas concentration/>Life value of the sensor under the condition;
And S4, obtaining a factor value before finger when the oil smoke gas is interfered according to an Arrhenius equation between the ambient temperature and the service life value of the sensor, and then introducing the factor value before finger into the equation, so that the service life predicted value of the sensor at the working temperature when the oil smoke gas is interfered can be calculated.
2. The method for predicting life of a sensor based on soot gas disturbance according to claim 1, wherein the life of the sensor and the ambient temperatureSatisfies the Arrhenius equation: /(I)In the above, the ratio of/>For Boltzmann constant, take/>，/>For material activation energy,/>Is the concentration of oil smoke gas/>The pre-finger factor under the condition, which is positively correlated with the concentration of the oil smoke gas, will/>，/>And T is carried in to obtain the concentration of the oil smoke gas/>Pre-finger factor values under conditions;
According to the arrhenius equation, In the above, the ratio of/>Is the life prediction value of the sensor at the working temperature when the oil smoke gas is interferedFor the working temperature of the sensor, the concentration of the lampblack gas/>And under the condition that the pre-finger factor value is brought in, the life prediction value of the sensor at the working temperature when the oil smoke gas is interfered can be calculated.
3. The method for predicting the service life of the sensor based on the oil smoke gas interference according to any one of claims 1 to 2, wherein the performance degradation rate of the sensor is selected from a resistance value drift rate of the sensor under clean air as a performance parameter, and the ambient temperature is selected from-10 ℃ to 75 ℃.
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| CN115962797A (en) * | 2022-12-28 | 2023-04-14 | 国网江苏省电力有限公司泰州供电分公司 | Sensor reliability testing method and system based on temperature stress |
| CN116539759A (en) * | 2023-05-16 | 2023-08-04 | 国网福建省电力有限公司电力科学研究院 | Accelerated degradation test method and device for on-line monitoring equipment for dissolved gas in insulating oil |
| CN116773239A (en) * | 2023-06-25 | 2023-09-19 | 廊坊新奥智能科技有限公司 | Intelligent gas meter controller reliability life prediction method |
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