Intelligent sensor system and device for monitoring of gas analyzer

Abstract

The invention relates to the technical field of gas monitoring, and particularly discloses an intelligent sensor system and device for monitoring a gas analyzer, and the system comprises a first processing module which is used for obtaining the processing parameters of all types of gases at each moment in a preset time period before the current moment; the calculation module is used for obtaining a cross influence value of each type of cross influence gas of each type of gas based on the processing parameters of all types of gas at each moment within a preset time period before the current moment; the construction module is used for obtaining a cross analysis matrix of each type of gas based on the cross influence values of all types of cross influence gases of each type of gas; and the second processing module is used for obtaining an acquisition processing result of the intelligent sensor system at the current moment based on the cross analysis matrix of each type of gas. According to the invention, the influence of gas cross interference is reduced to the greatest extent when the target gas is measured, and accurate detection of the target gas is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of gas monitoring, and in particular to an intelligent sensor system and device for gas analyzer monitoring. Background Art

[0002] At present, with the refinement of industrial production and the improvement of environmental protection requirements, higher requirements are placed on the accuracy and reliability of gas detection. Especially in some key areas, such as the monitoring of toxic and harmful gases in industrial production, any slight error may lead to serious consequences. Therefore, how to improve the monitoring accuracy of gas analyzers has become the most critical issue. Now the most core equipment in the gas analyzer is the intelligent sensor system, so solving the key problems of the intelligent sensor system in practical applications has become an urgent issue. Now the most critical problem of the intelligent sensor system in practical applications is how to reduce the interference of non-target gases on the target gas measurement results in complex gas environments, thereby improving the accuracy of target gas detection.

[0003] The existing intelligent sensor system and device for gas analyzer monitoring only introduces a sensor array to collect the first gas data of the preset area at the current moment in a multi-dimensional, accurate and efficient manner, which effectively improves the collection efficiency of environmental data. However, even if a multi-sensor array is used, there is often a lack of a systematic method to accurately evaluate and process the cross-interference between different gases, and the effect of gas cross-interference is not minimized when measuring the target gas, and the target gas is not accurately detected. For example, the patent with the publication number "CN114609329A" and the patent name "A gas monitoring system based on sensor networking in an industrial environment" includes the following steps: a sensor array located in each preset area, an edge node connected to each sensor array for communication, and a cloud server connected to the edge node for communication; wherein the sensor array is used to obtain the first gas data in the preset area where it is located at the current moment; the edge node is used to predict the second gas data of the preset area corresponding to itself within a preset time period after the current moment according to the first gas data sent by the sensor array connected to itself for communication; the cloud server is used to analyze the gas in the industrial environment according to the first gas data and the second gas data corresponding to each preset area sent by each edge node. However, this patent only introduces a sensor array to collect the first gas data of the preset area at the current moment in a multi-dimensional, accurate and efficient manner, effectively improving the efficiency of collecting environmental data. However, it does not minimize the impact of gas cross-interference when measuring the target gas, and does not achieve accurate detection of the target gas.

[0004] Therefore, the present invention proposes an intelligent sensor system and device for gas analyzer monitoring. Summary of the invention

[0005] The present invention provides an intelligent sensor system and device for gas analyzer monitoring, which is used to accurately obtain all types of cross-influence gases and all types of non-cross-influence gases of each type of gas according to the processing parameters of all types of gases at each moment in a preset time period before the current moment, and achieve the screening of gases that may or may not interfere with the processing parameters of each type of gas from all types of gases, and then accurately obtain the cross-influence value of each type of cross-influence gas of each type of gas according to all types of cross-influence gases and all types of non-cross-influence gases of each type of gas, and achieve the influence degree of each type of cross-influence gas of each type of gas on the corresponding type of gas. The cross-influence values ​​of all types of cross-influence gases of each type of gas are quantified, and the total cross-influence value of each type of gas is accurately obtained, so that the comprehensive influence of all types of cross-influence gases of each type of gas on the corresponding type of gas can be quantified. Then, according to the cross-influence values ​​and the total cross-influence values ​​of all types of cross-influence gases of each type of gas, the cross-analysis matrix of each type of gas is obtained. Finally, according to the cross-analysis matrix of each type of gas, the acquisition and processing results of the intelligent sensor system at the current moment are obtained, which minimizes the influence of gas cross-interference when measuring the target gas and realizes accurate detection of the target gas.

[0006] The present invention provides an intelligent sensor system for gas analyzer monitoring, comprising:

[0007] A first processing module, configured to obtain processing parameters of all types of gases at each moment in a preset time period before the current moment based on the collection parameters of all types of gases at each moment in a preset time period before the current moment;

[0008] a calculation module, for obtaining all types of cross-influence gases and all types of non-cross-influence gases of each type of gas based on the processing parameters of all types of gases at each moment in a preset time period before a current moment, and obtaining a cross-influence value of each type of cross-influence gas of each type of gas based on all types of cross-influence gases and all types of non-cross-influence gases of each type of gas;

[0009] A construction module is used to obtain a total cross-influence value of each type of gas based on the cross-influence values ​​of all types of cross-influence gases of each type of gas, and to obtain a cross-analysis matrix of each type of gas based on the cross-influence values ​​of all types of cross-influence gases of each type of gas and the total cross-influence value;

[0010] The second processing module is used to obtain the collection and processing results of the intelligent sensor system at the current moment based on the cross analysis matrix of each type of gas.

[0011] Preferably, the first processing module of the intelligent sensor system for gas analyzer monitoring comprises:

[0012] An acquisition submodule, used to acquire the collection parameters of all types of gases at each moment in a preset time period before the current moment through all types of gas sensors in the intelligent sensor system;

[0013] The processing submodule is used to perform data processing on the collection parameters of all types of gases at each moment in a preset time period before the current moment, and obtain the processing parameters of all types of gases at each moment in the preset time period before the current moment.

[0014] Preferably, the intelligent sensor system for gas analyzer monitoring, the processing submodule comprises:

[0015] The first judgment unit is used to judge whether the difference between the collection parameters of each type of gas at each moment and the collection parameters of the corresponding type of gas at all adjacent moments of the corresponding moment within a preset time period before the current moment is less than a preset difference. If so, the corresponding moment is regarded as a non-abnormal moment of the corresponding type of gas; otherwise, the corresponding moment is regarded as an abnormal moment of the corresponding type of gas;

[0016] The second judgment unit is used to judge whether each moment in a preset time period before the current moment is an abnormal moment for each type of gas. If so, the average of the collection parameters of the corresponding type of gas at all adjacent moments of the corresponding moment is used as the processing parameter of the corresponding type of gas at the corresponding moment. Otherwise, the collection parameters of the corresponding type of gas at the corresponding moment are used as the processing parameters of the corresponding type of gas at the corresponding moment.

[0017] Preferably, the intelligent sensor system for gas analyzer monitoring, the computing module, comprises:

[0018] The drawing submodule is used to take all moments in a preset time period before the current moment as horizontal coordinate values, and the numerical value of the processing parameter of each type of gas at the corresponding moment as the vertical coordinate value, to obtain all statistical points of each type of gas, and to determine whether the moment corresponding to the horizontal coordinate of each statistical point of each type of gas is an abnormal moment of the corresponding type of gas. If so, the corresponding statistical point is regarded as an abnormal statistical point of the corresponding type of gas, otherwise, the corresponding statistical point is regarded as a non-abnormal statistical point of the corresponding type of gas;

[0019] A cross-influence gas determination submodule is used to obtain all cross-influence gases and all non-cross-influence gases of each type of gas based on all abnormal statistical points and all non-abnormal statistical points of all types of gas;

[0020] The cross-impact value calculation submodule is used to obtain the cross-impact value of each cross-impact gas of each type of gas based on all types of cross-impact gases and all types of non-cross-impact gases of each type of gas.

[0021] Preferably, the intelligent sensor system for gas analyzer monitoring, the cross-affected gas determination submodule, comprises:

[0022] The correlation calculation unit is used to treat any gas in all gas classes as an observed gas, and treat the remaining gases in all gas classes except the observed gas as comparison gases of the observed gas, and obtain the correlation between the observed gas and each comparison gas of the corresponding observed gas based on all abnormal statistical points and all non-abnormal statistical points of the observed gas and all abnormal statistical points and all non-abnormal statistical points of each comparison gas of the corresponding observed gas, that is:

[0023]

[0024] Among them, β is the correlation between the currently calculated observation gas and the currently calculated comparison gas corresponding to the observation gas, p 1min is the minimum value of the ordinate among all abnormal statistical points of the currently calculated observed gas, q 1min is the minimum value of the ordinate among all abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, p 1max is the maximum value of the ordinate among all abnormal statistical points of the observed gas currently calculated, q 1max is the maximum value of the ordinate of all abnormal statistical points of the currently calculated comparison gas of the observed gas, P1 is the mean value of the ordinate of all abnormal statistical points of the currently calculated observation gas, P2 is the mean value of the ordinate of all non-abnormal statistical points of the currently calculated observation gas, p 2min is the minimum value of the ordinate among all non-abnormal statistical points of the currently calculated observed gas, q 2min is the minimum value of the ordinate among all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation class gas, p 2max is the maximum value of the ordinate among all non-abnormal statistical points of the observed gas currently calculated, q 2max is the maximum value of the ordinate of all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, Q1 is the mean value of the ordinate of all abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, Q2 is the mean value of the ordinate of all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, ln is the natural logarithm, and the value of the natural constant e is 2.718;

[0025] The cross-influence gas determination unit is used to determine whether the correlation between the observed gas and each comparison gas of the corresponding observed gas is greater than a preset correlation threshold. If so, the corresponding comparison gas of the corresponding observed gas is regarded as the cross-influence gas of the corresponding observed gas; otherwise, the corresponding comparison gas of the corresponding observed gas is regarded as the non-cross-influence gas of the corresponding observed gas, so as to obtain all types of cross-influence gases and all types of non-cross-influence gases of each type of gas.

[0026] Preferably, in the intelligent sensor system for gas analyzer monitoring, the cross-impact value calculation submodule obtains the cross-impact value of each cross-impact gas of each type of gas based on all types of cross-impact gases and all types of non-cross-impact gases of each type of gas, comprising:

[0027]

[0028] Among them, δ is the cross-influence value of the current calculation class gas, c 1max is the maximum value of the ordinate among all abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 1min is the minimum value of the ordinate among all abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 2max is the maximum value of the ordinate among all non-abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 2min is the minimum value of the ordinate of all non-abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, S 1max S is the maximum value of the ordinate among all abnormal statistical points of all cross-influence gases of the current calculation type. 1min S is the minimum value of the ordinate among all abnormal statistical points of all cross-influence gases of the current calculation type. 2max S is the maximum value of the ordinate among all non-abnormal statistical points of all cross-influence gases of the current calculation class. 2min It is the minimum value of the ordinate among all non-abnormal statistical points of all cross-influence gases of the current calculation type. ln is the natural logarithm, and the value of the natural constant e is 2.718.

[0029] Preferably, the smart sensor system for gas analyzer monitoring, building blocks, include:

[0030] The calculation submodule is used to obtain the total cross-impact value of each type of gas based on the cross-impact values ​​of all types of cross-impact gases of each type of gas, that is:

[0031]

[0032] Among them, μ is the total cross-effect value of the current calculation type gas, K i is the mean of the ordinates of all statistical points of the i-th cross-influence gas of the current calculation class gas, n is the number of types of cross-influence gases of the current calculation class gas, H is the mean of the ordinates of all statistical points of all types of cross-influence gases of the current calculation class gas, K imax K is the maximum value of the ordinate of all statistical points of the i-th cross-influence gas of the current calculation type. imin is the minimum value of the ordinate of all statistical points of the i-th cross-influence gas of the current calculation type, δ i is the cross-influence value of the i-th cross-influence gas of the current calculation type of gas;

[0033] A submodule is constructed to obtain a cross-analysis matrix for each type of gas based on the cross-influence values ​​and the total cross-influence values ​​of all types of cross-influence gases of each type of gas.

[0034] Preferably, the intelligent sensor system for gas analyzer monitoring is constructed with submodules, including:

[0035] An ordinal definition unit is used to perform ordinal definition starting from 1 for all cross-influence gases of each type of gas according to the number of abnormal statistical points of all cross-influence gases of each type of gas from small to large, and obtain an ordinal definition result for each type of gas;

[0036] A construction unit is used to obtain a cross analysis matrix for each type of gas based on the cross impact values ​​of all types of cross impact gases of each type of gas, the total cross impact value of each type of gas, and the ordinal definition result of each type of gas, that is:

[0037]

[0038] Among them, R is the cross analysis matrix of the current calculation type gas, b 1min The minimum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number of the current calculation type gas is defined as 1, b 1max is the maximum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 1 for the current calculation type gas, x1 is the quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as 1 for the current calculation type gas and the total cross-influence value of the current calculation type gas, b 2min The minimum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 2 for the current calculation class gas, b 2max is the maximum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 2 for the current calculation type gas, x2 is the quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as 2 for the current calculation type gas and the total cross-influence value of the current calculation type gas, b nminThe ordinal number of the current calculated gas is defined as the minimum value of the ordinate of all statistical points of the cross-influence gas n, b nmax The ordinal number of the current calculated gas is defined as the maximum value of the ordinate of all statistical points of the cross-influence gas, x n The quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as n and the total cross-influence value of the current calculation type gas is defined as n.

[0039] Preferably, in the intelligent sensor system for gas analyzer monitoring, the second processing module obtains the collection and processing result of the intelligent sensor system at the current moment based on the cross analysis matrix of each type of gas, including:

[0040] Determine whether the rank of the cross analysis matrix of each type of gas is greater than a preset threshold. If so, take the mean of the ordinate values ​​of all statistical points with the same abscissa value among all statistical points of all cross-influence gases of the corresponding type of gas as the mean of a statistical point parameter of the corresponding type of gas;

[0041] The difference between the largest statistical point parameter mean and the smallest statistical point parameter mean among all statistical point parameter means of each type of gas is regarded as the statistical point parameter difference of the corresponding type of gas;

[0042] The sum of the difference of the statistical point parameters of each type of gas and the processing parameters of the corresponding type of gas at the current moment is regarded as the collection and processing result of the corresponding type of gas at the current moment;

[0043] Otherwise, the processing parameters of the corresponding type of gas at the current moment are regarded as the collection and processing results of the corresponding type of gas at the current moment;

[0044] The collection and processing results of all types of gases at the current moment are used as the collection and processing results of the intelligent sensor system at the current moment.

[0045] The present invention provides an intelligent sensor device for gas analyzer monitoring.

[0046] including processors and storage devices;

[0047] The storage device is used to store instructions;

[0048] When the processor executes the instructions, the above-mentioned intelligent sensor system for gas analyzer monitoring is implemented.

[0049] The beneficial effects of the present invention compared with the prior art are as follows: according to the processing parameters of all types of gases at each moment in a preset time period before the current moment, all types of cross-influence gases and all types of non-cross-influence gases of each type of gas are accurately obtained, so that the gases that may or may not interfere with the processing parameters of each type of gas are screened out from all types of gases, and then according to all types of cross-influence gases and all types of non-cross-influence gases of each type of gas, the cross-influence value of each type of cross-influence gas of each type of gas is accurately obtained, so that the degree of influence of each type of cross-influence gas of each type of gas on the corresponding type of gas is quantified, and according to the cross-influence value of all types of cross-influence gases of each type of gas, the total cross-influence value of each type of gas is accurately obtained, so that the comprehensive degree of influence of all types of cross-influence gases of each type of gas on the corresponding type of gas is quantified, and then according to the cross-influence value and the total cross-influence value of all types of cross-influence gases of each type of gas, the cross-analysis matrix of each type of gas is obtained, and finally, according to the cross-analysis matrix of each type of gas, the acquisition and processing results of the intelligent sensor system at the current moment are obtained, and the influence of gas cross-interference is minimized when measuring the target gas, so as to achieve accurate detection of the target gas.

[0050] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structure specifically pointed out in the written application document.

[0051] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1 is a specific schematic diagram of an intelligent sensor system for gas analyzer monitoring in an embodiment of the present invention;

[0054] Figure 2 It is a specific schematic diagram of the first processing module in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] Embodiment 1:

[0057] The present invention provides an intelligent sensor system for gas analyzer monitoring, referring to Figure 1 ,include:

[0058] A first processing module, configured to obtain processing parameters of all types of gases at each moment in a preset time period before the current moment based on the collection parameters of all types of gases at each moment in a preset time period before the current moment;

[0059] a calculation module, for obtaining all types of cross-influence gases and all types of non-cross-influence gases of each type of gas based on the processing parameters of all types of gases at each moment in a preset time period before a current moment, and obtaining a cross-influence value of each type of cross-influence gas of each type of gas based on all types of cross-influence gases and all types of non-cross-influence gases of each type of gas;

[0060] A construction module is used to obtain a total cross-influence value of each type of gas based on the cross-influence values ​​of all types of cross-influence gases of each type of gas, and to obtain a cross-analysis matrix of each type of gas based on the cross-influence values ​​of all types of cross-influence gases of each type of gas and the total cross-influence value;

[0061] The second processing module is used to obtain the collection and processing results of the intelligent sensor system at the current moment based on the cross analysis matrix of each type of gas.

[0062] In this embodiment, the preset time period is a preset time period for obtaining collection parameters of all types of gases, for example, 10 minutes.

[0063] In this embodiment, each moment is a moment selected from a preset time period before the current moment, and the time length between each adjacent moment is the same.

[0064] In this embodiment, the collection parameters of all types of gases are the parameters of all types of gases at each moment in a preset time period before the current moment, which are collected and acquired by all types of gas sensors in the intelligent sensor system.

[0065] In this embodiment, the processing parameters of all types of gases are parameters obtained based on the collection parameters of all types of gases at each moment in the preset time period before the current moment, and can truly reflect (eliminate noise, correct errors) the actual conditions of all types of gases at each moment in the preset time period before the current moment.

[0066] In this embodiment, all types of cross-influencing gases of each type of gas are gases that may interfere with the processing parameters of each type of gas among all types of gases based on the processing parameters of all types of gases at each moment in a preset time period before the current moment. For example, hydrogen will produce a reading on the sensor originally used to detect carbon monoxide, resulting in inaccurate carbon monoxide readings.

[0067] In this embodiment, all types of non-cross-impacted gases of each type of gas are gases that do not interfere with the processing parameters of each type of gas among all types of gases, obtained based on the processing parameters of all types of gases at each moment in a preset time period before the current moment.

[0068] In this embodiment, the cross-influence value of each type of cross-influence gas of each type of gas is a numerical value of the degree of influence of each type of cross-influence gas of each type of gas on the corresponding type of gas, obtained based on all types of cross-influence gases and all types of non-cross-influence gases of each type of gas.

[0069] In this embodiment, the total cross-impact value of each type of gas is a value of the comprehensive impact degree of all types of cross-impact gases of each type of gas on the corresponding type of gas, obtained based on the cross-impact values ​​of all types of cross-impact gases of each type of gas.

[0070] In this embodiment, the cross-analysis matrix of each type of gas is a matrix obtained based on the cross-influence values ​​and total cross-influence values ​​of all types of cross-influence gases of each type of gas, which can analyze the collection and processing results of the corresponding type of gas at the current moment.

[0071] In this embodiment, the collection and processing results of the intelligent sensor system at the current moment are the collection and processing results of all types of gases at the current moment.

[0072] The beneficial effects of the above technology are as follows: according to the processing parameters of all types of gases at each moment in a preset time period before the current moment, all types of cross-influence gases and all types of non-cross-influence gases of each type of gas are accurately obtained, so that the gases that may or may not interfere with the processing parameters of each type of gas are screened out from all types of gases, and then according to all types of cross-influence gases and all types of non-cross-influence gases of each type of gas, the cross-influence value of each type of cross-influence gas of each type of gas is accurately obtained, so that the degree of influence of each type of cross-influence gas of each type of gas on the corresponding type of gas is quantified, and according to the cross-influence value of all types of cross-influence gases of each type of gas, the total cross-influence value of each type of gas is accurately obtained, so that the comprehensive degree of influence of all types of cross-influence gases of each type of gas on the corresponding type of gas is quantified, and then according to the cross-influence value and the total cross-influence value of all types of cross-influence gases of each type of gas, the cross-analysis matrix of each type of gas is obtained, and finally, according to the cross-analysis matrix of each type of gas, the acquisition and processing results of the intelligent sensor system at the current moment are obtained, so that the influence of gas cross-interference is minimized when measuring the target gas, and the accurate detection of the target gas is achieved.

[0073] Embodiment 2:

[0074] Based on Example 1, the intelligent sensor system for gas analyzer monitoring, the first processing module, reference Figure 2 ,include:

[0075] An acquisition submodule, used to acquire the collection parameters of all types of gases at each moment in a preset time period before the current moment through all types of gas sensors in the intelligent sensor system;

[0076] The processing submodule is used to perform data processing on the collection parameters of all types of gases at each moment in a preset time period before the current moment, and obtain the processing parameters of all types of gases at each moment in the preset time period before the current moment.

[0077] In this embodiment, the intelligent sensor system is a system composed of multiple intelligent sensors (such as oxygen sensors, carbon monoxide sensors, sulfur dioxide sensors, etc.) in the gas analyzer.

[0078] In this embodiment, all types of gas sensors are sensors of all types of gases constituting the smart sensor system.

[0079] In this embodiment, data processing is a process of obtaining processing parameters of all types of gases at each moment in a preset time period before the current moment based on the collection parameters of all types of gases at each moment in a preset time period before the current moment.

[0080] The beneficial effect of the above technology is: based on the collection parameters of all types of gases at each moment in the preset time period before the current moment, the processing parameters of all types of gases at each moment in the preset time period before the current moment are accurately obtained, which facilitates the subsequent accurate acquisition of all types of cross-influence gases and all types of non-cross-influence gases of each type of gas.

[0081] Embodiment 3:

[0082] Based on Example 2, the intelligent sensor system for gas analyzer monitoring, the processing submodule, includes:

[0083] The first judgment unit is used to judge whether the difference between the collection parameters of each type of gas at each moment and the collection parameters of the corresponding type of gas at all adjacent moments of the corresponding moment within a preset time period before the current moment is less than a preset difference. If so, the corresponding moment is regarded as a non-abnormal moment of the corresponding type of gas; otherwise, the corresponding moment is regarded as an abnormal moment of the corresponding type of gas;

[0084] The second judgment unit is used to judge whether each moment in a preset time period before the current moment is an abnormal moment for each type of gas. If so, the average of the collection parameters of the corresponding type of gas at all adjacent moments of the corresponding moment is used as the processing parameter of the corresponding type of gas at the corresponding moment. Otherwise, the collection parameters of the corresponding type of gas at the corresponding moment are used as the processing parameters of the corresponding type of gas at the corresponding moment.

[0085] In this embodiment, the preset difference is a difference value preset to obtain all non-abnormal moments of each type of gas and all abnormal moments of the corresponding type of gas.

[0086] The beneficial effects of the above technology are: based on the collection parameters and preset differences of each type of gas at each moment in the preset time period before the current moment, all non-abnormal moments of each type of gas and all abnormal moments of the corresponding types of gas are accurately obtained, and then based on all non-abnormal moments and all abnormal moments of each type of gas, the processing parameters of all types of gas at each moment in the preset time period before the current moment are obtained, effectively reducing the impact of sensor collection noise and errors.

[0087] Embodiment 4:

[0088] Based on Example 3, the intelligent sensor system for gas analyzer monitoring, the computing module, includes:

[0089] The drawing submodule is used to take all moments in a preset time period before the current moment as horizontal coordinate values, and the numerical value of the processing parameter of each type of gas at the corresponding moment as the vertical coordinate value, to obtain all statistical points of each type of gas, and to determine whether the moment corresponding to the horizontal coordinate of each statistical point of each type of gas is an abnormal moment of the corresponding type of gas. If so, the corresponding statistical point is regarded as an abnormal statistical point of the corresponding type of gas, otherwise, the corresponding statistical point is regarded as a non-abnormal statistical point of the corresponding type of gas;

[0090] A cross-influence gas determination submodule is used to obtain all cross-influence gases and all non-cross-influence gases of each type of gas based on all abnormal statistical points and all non-abnormal statistical points of all types of gas;

[0091] The cross-impact value calculation submodule is used to obtain the cross-impact value of each cross-impact gas of each type of gas based on all types of cross-impact gases and all types of non-cross-impact gases of each type of gas.

[0092] The beneficial effects of the above technology are: according to the collection parameters of each type of gas at all times within a preset time period before the current moment, all statistical points of each type of gas are obtained, and then according to all non-abnormal moments, all abnormal moments and all statistical points of each type of gas, all abnormal statistical points and all non-abnormal statistical points of each type of gas are obtained; according to all abnormal statistical points and all non-abnormal statistical points of all types of gas, all types of cross-influence gases and all types of non-cross-influence gases of each type of gas are obtained; according to all types of cross-influence gases and all types of non-cross-influence gases of each type of gas, the cross-influence value of each type of cross-influence gas of each type of gas is obtained. This embodiment gives in detail a specific method for obtaining all abnormal statistical points and all non-abnormal statistical points of each type of gas by collecting parameters of each type of gas at all times within a preset time period before the current moment.

[0093] Embodiment 5:

[0094] On the basis of Example 4, the intelligent sensor system for gas analyzer monitoring, the cross-influence gas determination submodule, includes:

[0095] The correlation calculation unit is used to treat any gas in all gas classes as an observed gas, and treat the remaining gases in all gas classes except the observed gas as comparison gases of the observed gas, and obtain the correlation between the observed gas and each comparison gas of the corresponding observed gas based on all abnormal statistical points and all non-abnormal statistical points of the observed gas and all abnormal statistical points and all non-abnormal statistical points of each comparison gas of the corresponding observed gas, that is:

[0096]

[0097] Among them, β is the correlation between the currently calculated observation gas and the currently calculated comparison gas corresponding to the observation gas, p 1min is the minimum value of the ordinate among all abnormal statistical points of the currently calculated observed gas, q 1min is the minimum value of the ordinate among all abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, p 1max is the maximum value of the ordinate among all abnormal statistical points of the observed gas currently calculated, q 1max is the maximum value of the ordinate of all abnormal statistical points of the currently calculated comparison gas of the observed gas, P1 is the mean value of the ordinate of all abnormal statistical points of the currently calculated observation gas, P2 is the mean value of the ordinate of all non-abnormal statistical points of the currently calculated observation gas, p 2min is the minimum value of the ordinate among all non-abnormal statistical points of the currently calculated observed gas, q 2min is the minimum value of the ordinate among all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation class gas, p 2max is the maximum value of the ordinate among all non-abnormal statistical points of the observed gas currently calculated, q 2max is the maximum value of the ordinate of all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, Q1 is the mean value of the ordinate of all abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, Q2 is the mean value of the ordinate of all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, ln is the natural logarithm, and the value of the natural constant e is 2.718;

[0098] The cross-influence gas determination unit is used to determine whether the correlation between the observed gas and each comparison gas of the corresponding observed gas is greater than a preset correlation threshold. If so, the corresponding comparison gas of the corresponding observed gas is regarded as the cross-influence gas of the corresponding observed gas; otherwise, the corresponding comparison gas of the corresponding observed gas is regarded as the non-cross-influence gas of the corresponding observed gas, so as to obtain all types of cross-influence gases and all types of non-cross-influence gases of each type of gas.

[0099] In this embodiment, the correlation is a numerical value obtained based on all abnormal statistical points and all non-abnormal statistical points of the observed gas and all abnormal statistical points of each comparison gas corresponding to the observed gas, which can characterize the overall correlation degree of processing parameters between the observed gas and each comparison gas corresponding to the observed gas.

[0100] In this embodiment, the preset correlation threshold is a correlation threshold preset to determine whether each corresponding comparison gas of the observed gas is a cross-influence gas of the corresponding observed gas.

[0101] The beneficial effects of the above technology are: based on all abnormal statistical points and all non-abnormal statistical points of the observed gas and all abnormal statistical points of each comparison gas of the corresponding observed gas, the correlation between the observed gas and each comparison gas of the corresponding observed gas is accurately obtained, and the overall correlation degree of the processing parameters between the observed gas and each comparison gas of the corresponding observed gas is quantified, and then according to the correlation between the observed gas and each comparison gas of the corresponding observed gas, all types of cross-influence gases and all types of non-cross-influence gases of each type of gas are accurately obtained.

[0102] Embodiment 6:

[0103] On the basis of Example 4, in the intelligent sensor system for gas analyzer monitoring, the cross-impact value calculation submodule obtains the cross-impact value of each cross-impact gas of each type of gas based on all types of cross-impact gases and all types of non-cross-impact gases of each type of gas, including:

[0104]

[0105] Among them, δ is the cross-influence value of the current calculation class gas, c 1max is the maximum value of the ordinate among all abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 1min is the minimum value of the ordinate among all abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 2maxis the maximum value of the ordinate among all non-abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 2min is the minimum value of the ordinate of all non-abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, S 1max S is the maximum value of the ordinate among all abnormal statistical points of all cross-influence gases of the current calculation type. 1min S is the minimum value of the ordinate among all abnormal statistical points of all cross-influence gases of the current calculation type. 2max S is the maximum value of the ordinate among all non-abnormal statistical points of all cross-influence gases of the current calculation class. 2min It is the minimum value of the ordinate among all non-abnormal statistical points of all cross-influence gases of the current calculation type. ln is the natural logarithm, and the value of the natural constant e is 2.718.

[0106] The beneficial effects of the above technology are: based on all types of cross-influence gases and all types of non-cross-influence gases of each type of gas, the cross-influence value of each type of cross-influence gas of each type of gas is accurately obtained, and the degree of influence of each type of cross-influence gas of each type of gas on the corresponding type of gas is quantified, which facilitates the subsequent acquisition of the total cross-influence value of each type of gas.

[0107] Embodiment 7:

[0108] Based on Example 1, the intelligent sensor system for gas analyzer monitoring, building blocks, include:

[0109] The calculation submodule is used to obtain the total cross-impact value of each type of gas based on the cross-impact values ​​of all types of cross-impact gases of each type of gas, that is:

[0110]

[0111] Among them, μ is the total cross-effect value of the current calculation type gas, K i is the mean of the ordinates of all statistical points of the i-th cross-influence gas of the current calculation class gas, n is the number of types of cross-influence gases of the current calculation class gas, H is the mean of the ordinates of all statistical points of all types of cross-influence gases of the current calculation class gas, K imax K is the maximum value of the ordinate of all statistical points of the i-th cross-influence gas of the current calculation type. imin is the minimum value of the ordinate of all statistical points of the i-th cross-influence gas of the current calculation type, δ i is the cross-influence value of the i-th cross-influence gas of the current calculation type of gas;

[0112] A submodule is constructed to obtain a cross-analysis matrix for each type of gas based on the cross-influence values ​​and the total cross-influence values ​​of all types of cross-influence gases of each type of gas.

[0113] The beneficial effects of the above technology are: based on the cross-influence values ​​of all types of cross-influencing gases of each type of gas, the total cross-influence value of each type of gas is accurately obtained, so that the comprehensive influence of all types of cross-influencing gases of each type of gas on the corresponding type of gas can be quantified, and then based on the cross-influence values ​​and the total cross-influence values ​​of all types of cross-influencing gases of each type of gas, the cross-analysis matrix of each type of gas is obtained. This embodiment gives in detail a specific method for quantifying the comprehensive influence of all types of cross-influencing gases of each type of gas on the corresponding type of gas.

[0114] Embodiment 8:

[0115] Based on Example 7, the smart sensor system for gas analyzer monitoring is constructed with submodules, including:

[0116] An ordinal definition unit is used to perform ordinal definition starting from 1 for all cross-influence gases of each type of gas according to the number of abnormal statistical points of all cross-influence gases of each type of gas from small to large, and obtain an ordinal definition result for each type of gas;

[0117] A construction unit is used to obtain a cross analysis matrix for each type of gas based on the cross impact values ​​of all types of cross impact gases of each type of gas, the total cross impact value of each type of gas, and the ordinal definition result of each type of gas, that is:

[0118]

[0119] Among them, R is the cross analysis matrix of the current calculation type gas, b 1min The minimum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number of the current calculation type gas is defined as 1, b 1max is the maximum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 1 for the current calculation type gas, x1 is the quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as 1 for the current calculation type gas and the total cross-influence value of the current calculation type gas, b 2min The minimum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 2 for the current calculation class gas, b 2max is the maximum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 2 for the current calculation type gas, x2 is the quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as 2 for the current calculation type gas and the total cross-influence value of the current calculation type gas, b nmin The ordinal number of the current calculated gas is defined as the minimum value of the ordinate of all statistical points of the cross-influence gas n, bnmax The ordinal number of the current calculated gas is defined as the maximum value of the ordinate of all statistical points of the cross-influence gas, x n The quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as n and the total cross-influence value of the current calculation type gas is defined as n.

[0120] The beneficial effect of the above technology is: according to the cross-influence values ​​and the total cross-influence values ​​of all types of cross-influence gases of each type of gas, a cross-analysis matrix of each type of gas is obtained. This embodiment gives in detail a specific method for obtaining the cross-analysis matrix of each type of gas according to the cross-influence values ​​and the total cross-influence values ​​of all types of cross-influence gases of each type of gas.

[0121] Embodiment 9:

[0122] On the basis of Example 1, in the intelligent sensor system for gas analyzer monitoring, the second processing module obtains the collection and processing result of the intelligent sensor system at the current moment based on the cross analysis matrix of each type of gas, including:

[0123] Determine whether the rank of the cross analysis matrix of each type of gas is greater than a preset threshold. If so, take the mean of the ordinate values ​​of all statistical points with the same abscissa value among all statistical points of all cross-influence gases of the corresponding type of gas as the mean of a statistical point parameter of the corresponding type of gas;

[0124] The difference between the largest statistical point parameter mean and the smallest statistical point parameter mean among all statistical point parameter means of each type of gas is regarded as the statistical point parameter difference of the corresponding type of gas;

[0125] The sum of the difference of the statistical point parameters of each type of gas and the processing parameters of the corresponding type of gas at the current moment is regarded as the collection and processing result of the corresponding type of gas at the current moment;

[0126] Otherwise, the processing parameters of the corresponding type of gas at the current moment are regarded as the collection and processing results of the corresponding type of gas at the current moment;

[0127] The collection and processing results of all types of gases at the current moment are used as the collection and processing results of the intelligent sensor system at the current moment.

[0128] In this embodiment, the preset threshold is a threshold preset to obtain the mean value of all statistical point parameters of each type of gas.

[0129] The beneficial effects of the above technology are: according to the cross-analysis matrix and preset threshold of each type of gas, the collection and processing results of the intelligent sensor system at the current moment are obtained, and the influence of gas cross-interference is minimized when measuring the target gas, thereby achieving accurate detection of the target gas.

[0130] Embodiment 10:

[0131] The present invention provides an intelligent sensor device for gas analyzer monitoring.

[0132] including processors and storage devices;

[0133] The storage device is used to store instructions;

[0134] When the processor executes the instructions, the above-mentioned intelligent sensor system for gas analyzer monitoring is implemented.

[0135] The beneficial effects of the above technology are: providing an intelligent sensor device for gas analyzer monitoring that can reduce gas cross-interference, improve detection accuracy, and provide strong support for target gas detection in complex gas environments.

[0136] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention, and the present invention is intended to include these changes and modifications.

Claims

1. An intelligent sensor system for gas analyzer monitoring, characterized in that: include: A first processing module, configured to obtain processing parameters of all types of gases at each moment in a preset time period before the current moment based on the collection parameters of all types of gases at each moment in a preset time period before the current moment; a calculation module, for obtaining all types of cross-influence gases and all types of non-cross-influence gases of each type of gas based on the processing parameters of all types of gases at each moment in a preset time period before a current moment, and obtaining a cross-influence value of each type of cross-influence gas of each type of gas based on all types of cross-influence gases and all types of non-cross-influence gases of each type of gas; A construction module is used to obtain a total cross-influence value of each type of gas based on the cross-influence values ​​of all types of cross-influence gases of each type of gas, and to obtain a cross-analysis matrix of each type of gas based on the cross-influence values ​​of all types of cross-influence gases of each type of gas and the total cross-influence value; The second processing module is used to obtain the collection and processing results of the intelligent sensor system at the current moment based on the cross analysis matrix of each type of gas.

2. The intelligent sensor system for gas analyzer monitoring according to claim 1, characterized in that: The first processing module comprises: An acquisition submodule, used to acquire the collection parameters of all types of gases at each moment in a preset time period before the current moment through all types of gas sensors in the intelligent sensor system; The processing submodule is used to perform data processing on the collection parameters of all types of gases at each moment in a preset time period before the current moment, and obtain the processing parameters of all types of gases at each moment in the preset time period before the current moment.

3. The intelligent sensor system for gas analyzer monitoring according to claim 2, characterized in that: Processing submodules, including: The first judgment unit is used to judge whether the difference between the collection parameters of each type of gas at each moment and the collection parameters of the corresponding type of gas at all adjacent moments of the corresponding moment within a preset time period before the current moment is less than a preset difference. If so, the corresponding moment is regarded as a non-abnormal moment of the corresponding type of gas; otherwise, the corresponding moment is regarded as an abnormal moment of the corresponding type of gas; The second judgment unit is used to judge whether each moment in a preset time period before the current moment is an abnormal moment for each type of gas. If so, the average of the collection parameters of the corresponding type of gas at all adjacent moments of the corresponding moment is used as the processing parameter of the corresponding type of gas at the corresponding moment; otherwise, the collection parameters of the corresponding type of gas at the corresponding moment are used as the processing parameters of the corresponding type of gas at the corresponding moment.

4. The intelligent sensor system for gas analyzer monitoring according to claim 3, characterized in that: Computing module, including: The drawing submodule is used to take all moments in a preset time period before the current moment as horizontal coordinate values, and the numerical value of the processing parameter of each type of gas at the corresponding moment as the vertical coordinate value, to obtain all statistical points of each type of gas, and to determine whether the moment corresponding to the horizontal coordinate of each statistical point of each type of gas is an abnormal moment of the corresponding type of gas. If so, the corresponding statistical point is regarded as an abnormal statistical point of the corresponding type of gas, otherwise, the corresponding statistical point is regarded as a non-abnormal statistical point of the corresponding type of gas; A cross-influence gas determination submodule is used to obtain all cross-influence gases and all non-cross-influence gases of each type of gas based on all abnormal statistical points and all non-abnormal statistical points of all types of gas; The cross-impact value calculation submodule is used to obtain the cross-impact value of each cross-impact gas of each type of gas based on all types of cross-impact gases and all types of non-cross-impact gases of each type of gas.

5. The intelligent sensor system for gas analyzer monitoring according to claim 4, characterized in that: The cross-influence gas determination submodule includes: The correlation calculation unit is used to treat any gas in all gas classes as an observed gas, and treat the remaining gases in all gas classes except the observed gas as comparison gases of the observed gas, and obtain the correlation between the observed gas and each comparison gas of the corresponding observed gas based on all abnormal statistical points and all non-abnormal statistical points of the observed gas and all abnormal statistical points and all non-abnormal statistical points of each comparison gas of the corresponding observed gas, that is: Among them, β is the correlation between the currently calculated observation gas and the currently calculated comparison gas corresponding to the observation gas, p 1min is the minimum value of the ordinate among all abnormal statistical points of the currently calculated observed gas, q 1min is the minimum value of the ordinate among all abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, p 1max is the maximum value of the ordinate among all abnormal statistical points of the observed gas currently calculated, q 1max is the maximum value of the ordinate of all abnormal statistical points of the currently calculated comparison gas of the observed gas, P1 is the mean value of the ordinate of all abnormal statistical points of the currently calculated observation gas, P2 is the mean value of the ordinate of all non-abnormal statistical points of the currently calculated observation gas, p 2min is the minimum value of the ordinate among all non-abnormal statistical points of the currently calculated observed gas, q 2min is the minimum value of the ordinate among all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation class gas, p 2max is the maximum value of the ordinate among all non-abnormal statistical points of the observed gas currently calculated, q 2max is the maximum value of the ordinate of all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, Q1 is the mean value of the ordinate of all abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, Q2 is the mean value of the ordinate of all non-abnormal statistical points of the currently calculated comparison gas of the currently calculated observation gas, ln is the natural logarithm, and the value of the natural constant e is 2.718; The cross-influence gas determination unit is used to determine whether the correlation between the observed gas and each comparison gas of the corresponding observed gas is greater than a preset correlation threshold. If so, the corresponding comparison gas of the corresponding observed gas is regarded as the cross-influence gas of the corresponding observed gas; otherwise, the corresponding comparison gas of the corresponding observed gas is regarded as the non-cross-influence gas of the corresponding observed gas, so as to obtain all types of cross-influence gases and all types of non-cross-influence gases of each type of gas.

6. The intelligent sensor system for gas analyzer monitoring according to claim 4, characterized in that: The cross-impact value calculation submodule obtains the cross-impact value of each cross-impact gas of each type of gas based on all types of cross-impact gases and all types of non-cross-impact gases of each type of gas, including: Among them, δ is the cross-influence value of the current calculation class gas, c 1max is the maximum value of the ordinate among all abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 1min is the minimum value of the ordinate among all abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 2max is the maximum value of the ordinate among all non-abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, c 2min is the minimum value of the ordinate of all non-abnormal statistical points of the current calculation class cross-influence gas of the current calculation class, S 1max S is the maximum value of the ordinate among all abnormal statistical points of all cross-influence gases of the current calculation type. 1min S is the minimum value of the ordinate among all abnormal statistical points of all cross-influence gases of the current calculation type. 2max S is the maximum value of the ordinate among all non-abnormal statistical points of all cross-influence gases of the current calculation class. 2min It is the minimum value of the ordinate among all non-abnormal statistical points of all cross-influence gases of the current calculation type. ln is the natural logarithm, and the value of the natural constant e is 2.

718.

7. The intelligent sensor system for gas analyzer monitoring according to claim 1, characterized in that: Building blocks, including: The calculation submodule is used to obtain the total cross-impact value of each type of gas based on the cross-impact values ​​of all types of cross-impact gases of each type of gas, that is: Among them, μ is the total cross-effect value of the current calculation type gas, K i is the mean of the ordinates of all statistical points of the i-th cross-influence gas of the current calculation class gas, n is the number of types of cross-influence gases of the current calculation class gas, H is the mean of the ordinates of all statistical points of all types of cross-influence gases of the current calculation class gas, K imax K is the maximum value of the ordinate of all statistical points of the i-th cross-influence gas of the current calculation type. imin is the minimum value of the ordinate of all statistical points of the i-th cross-influence gas of the current calculation type, δ i is the cross-influence value of the i-th cross-influence gas of the current calculation type of gas; A submodule is constructed to obtain a cross-analysis matrix for each type of gas based on the cross-influence values ​​and the total cross-influence values ​​of all types of cross-influence gases of each type of gas.

8. The intelligent sensor system for gas analyzer monitoring according to claim 7, characterized in that: Build submodules, including: An ordinal definition unit is used to perform ordinal definition starting from 1 for all cross-influence gases of each type of gas according to the number of abnormal statistical points of all cross-influence gases of each type of gas from small to large, and obtain an ordinal definition result for each type of gas; A construction unit is used to obtain a cross analysis matrix for each type of gas based on the cross impact values ​​of all types of cross impact gases of each type of gas, the total cross impact value of each type of gas, and the ordinal definition result of each type of gas, that is: Among them, R is the cross analysis matrix of the current calculation type gas, b 1min The minimum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number of the current calculation type gas is defined as 1, b 1max is the maximum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 1 for the current calculation type gas, x1 is the quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as 1 for the current calculation type gas and the total cross-influence value of the current calculation type gas, b 2min The minimum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 2 for the current calculation class gas, b 2max is the maximum value of the ordinate of all statistical points of the cross-influence gas whose ordinal number is defined as 2 for the current calculation type gas, x2 is the quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as 2 for the current calculation type gas and the total cross-influence value of the current calculation type gas, b nmin The ordinal number of the current calculated gas is defined as the minimum value of the ordinate of all statistical points of the cross-influence gas n, b nmax The ordinal number of the current calculated gas is defined as the maximum value of the ordinate of all statistical points of the cross-influence gas, x n The quotient of the cross-influence value of the cross-influence gas whose ordinal number is defined as n and the total cross-influence value of the current calculation type gas is defined as n.

9. The intelligent sensor system for gas analyzer monitoring according to claim 1, characterized in that: The second processing module obtains the collection and processing result of the intelligent sensor system at the current moment based on the cross analysis matrix of each type of gas, including: Determine whether the rank of the cross analysis matrix of each type of gas is greater than a preset threshold. If so, take the mean of the ordinate values ​​of all statistical points with the same abscissa value among all statistical points of all cross-influence gases of the corresponding type of gas as the mean of a statistical point parameter of the corresponding type of gas; The difference between the largest statistical point parameter mean and the smallest statistical point parameter mean among all statistical point parameter means of each type of gas is regarded as the statistical point parameter difference of the corresponding type of gas; The sum of the difference of the statistical point parameters of each type of gas and the processing parameters of the corresponding type of gas at the current moment is regarded as the collection and processing result of the corresponding type of gas at the current moment; Otherwise, the processing parameters of the corresponding type of gas at the current moment are regarded as the collection and processing results of the corresponding type of gas at the current moment; The collection and processing results of all types of gases at the current moment are used as the collection and processing results of the intelligent sensor system at the current moment.

10. An intelligent sensor device for gas analyzer monitoring, characterized in that: including processors and storage devices; The storage device is used to store instructions; When the processor executes the instructions, the smart sensor system for gas analyzer monitoring according to any one of claims 1 to 9 is implemented.

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