CN116814302B - Method, system and storage medium for monitoring gasification amount of biomass gasification reaction - Google Patents
Method, system and storage medium for monitoring gasification amount of biomass gasification reaction Download PDFInfo
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Abstract
The invention discloses a biomass gasification reaction gasification monitoring method, a system and a storage medium, which relate to the technical field of chemical engineering monitoring and comprise the following steps: obtaining a plurality of gasification index-parameter set change curves; screening out abnormal forward fluctuation intervals of which the gasification quantity indexes do not accord with normal distribution; acquiring a parameter set of biomass pyrolysis gasification reaction in an abnormal forward fluctuation interval; analyzing the abnormal forward fluctuation parameter set, and judging whether the abnormal forward fluctuation parameter set has repeatability or not; performing repeatability verification on the parameter set to be verified; and calculating an optimal parameter set of the biomass pyrolysis gasification reaction based on all the forward influence parameter sets. The invention has the advantages that: different biomass raw materials are subjected to pyrolysis gasification reaction parameters in a targeted manner based on biomass gasification reaction gasification amount monitoring data, so that the biomass pyrolysis gasification efficiency can be effectively improved, and the conversion rate of resources is ensured.
Description
Technical Field
The invention relates to the technical field of chemical engineering monitoring, in particular to a biomass gasification reaction gasification monitoring method, a biomass gasification reaction gasification monitoring system and a storage medium.
Background
As the demand for energy for social production increases, the search for clean and efficient renewable energy sources is receiving extensive attention from students. Biomass energy has the following advantages as a renewable energy source: the dependence on regions and climates is small; the resources are sufficient and the economy is high; the fuel is easy to store and convert into liquid, gas fuel, electric energy, heat energy and other energy forms; the high-efficiency utilization of biomass energy can realize zero carbon emission. Biomass can therefore be considered as the most promising future energy source of renewable energy sources and is the fourth largest energy source following coal, oil and natural gas.
Biomass pyrolysis gasification technology can convert biomass with low energy density into gaseous, liquid and solid products with high energy density, and is an important approach for high-value utilization of biomass in the future. On one hand, the synthesis gas obtained by biomass gasification can be directly used as fuel or an important hydrogen source, and further is converted into heat energy, electric energy and the like; on the other hand, the catalyst can be converted into fine chemicals with high added value such as methanol, dimethyl ether and the like through reactions such as Fischer-Tropsch synthesis and the like, and in addition, the solid byproducts formed in the gasification process are also important to be applied in the aspects of biochar, fertilizer and the like. The technology can convert biomass with low energy density which is difficult to process by the conventional method into gaseous, liquid and solid products with high energy density at lower cost, on one hand, the reduction and high efficiency of biomass utilization are realized, and on the other hand, the storage and transportation cost is reduced.
Because biomass pyrolysis gasification is an extremely complex thermal conversion process, wherein the pyrolysis reaction parameters of different biomass raw materials have different influences on each gasification amount index of biomass gasification reaction, a set of effective means for optimally designing the pyrolysis reaction parameters of different biomass raw materials is lacking in the prior art, and the pyrolysis gasification reaction cannot be carried out pertinently according to different biomass raw materials, so that the biomass pyrolysis gasification efficiency is low, and the waste of resources is caused.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides a method, a system and a storage medium for monitoring gasification amount of biomass gasification reaction, and solves the problems that in the prior art, a set of effective means is lacked to optimally design pyrolysis reaction parameters of different biomass raw materials, pyrolysis gasification reaction cannot be performed pertinently according to different biomass raw materials, biomass pyrolysis gasification efficiency is low, and resource waste is caused.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a biomass gasification reaction gasification amount monitoring method comprises the following steps:
the operation parameters of the reaction equipment of the biomass pyrolysis gasification reaction are adjusted through experiments, and the change of each gasification amount index of the biomass gasification reaction is monitored in real time, so that a plurality of gasification amount index-parameter set change curves are obtained;
analyzing the gasification quantity-parameter set change curve, and screening abnormal forward fluctuation intervals in which the gasification quantity index does not accord with normal distribution;
acquiring a parameter set of biomass pyrolysis gasification reaction in an abnormal forward fluctuation interval based on a gasification amount index-parameter set change curve, and marking the parameter set as the abnormal forward fluctuation parameter set;
analyzing the abnormal forward fluctuation parameter set, judging whether the abnormal forward fluctuation parameter set has repeatability, if so, marking the abnormal forward fluctuation parameter set as a parameter set to be verified, and if not, marking the abnormal forward fluctuation parameter set as an accidental parameter set;
repeatedly verifying the parameter set to be verified, judging whether the parameter set to be verified has a positive influence on the biomass pyrolysis gasification reaction, if so, marking the parameter set to be verified as the positive influence parameter set, and if not, not responding;
and calculating an optimal parameter set of the biomass pyrolysis gasification reaction based on all the forward influence parameter sets.
Preferably, the operation parameters of the reaction equipment for biomass pyrolysis gasification reaction are adjusted through experiments, and the change of each gasification amount index of the biomass gasification reaction is monitored in real time, and the obtaining of the change curves of the gasification amount indexes and the parameter sets specifically includes:
based on historical production experience, determining a plurality of parameters affecting the pyrolysis gasification reaction of biomass, marking the parameters as affecting parameters, and determining a change interval of each affecting parameter;
generating a plurality of experimental parameter values for each parameter according to the set gradient change value based on the change interval of each influencing parameter;
cross-combining a plurality of experimental parameter values corresponding to all parameters to obtain a plurality of experimental parameter sets;
setting operation parameters of reaction equipment for biomass pyrolysis gasification reaction according to the experimental parameter set, recording the change of each gasification index of the biomass gasification reaction, and establishing a gasification index-parameter set change curve by corresponding each gasification index of the biomass gasification reaction to the experimental parameter set one by one.
Preferably, the analyzing the gasification amount-parameter set change curve, and screening the abnormal forward fluctuation interval in which the gasification amount index does not conform to the normal distribution specifically includes:
calculating the average value and standard deviation of gasification indexes in the biomass pyrolysis gasification reaction process based on the gasification quantity-parameter set change curve;
constructing an outlier discrimination formula based on a Grabbs criterion;
based on an abnormal value screening formula, screening the real-time live broadcast data to obtain an abnormal value of the gasification quantity index;
judging whether the abnormal value of the gasification quantity fluctuation is larger than the average value of the gasification quantity, if so, marking the gasification quantity index fluctuation as positive fluctuation, and if not, marking the gasification quantity index fluctuation as negative fluctuation;
wherein, the outlier discrimination formula is:
wherein x is i For the i-th gasification amount index value,s is the standard deviation of the gasification index, bpn is an abnormal value discrimination critical value, and the abnormal value discrimination critical value is determined by a Charpy table;
if the outlier discrimination formula is satisfied, x is i Is the abnormal value of the index of gasification quantity, otherwise, x i Is the normal value among abnormal values of the index of the gasification amount.
Preferably, the analyzing the abnormal forward fluctuation parameter set, and determining whether the abnormal forward fluctuation parameter set has repeatability specifically includes:
acquiring a rated operation parameter set interval of reaction equipment for biomass pyrolysis gasification reaction;
and judging whether the abnormal forward fluctuation parameter set falls into a rated operation parameter set interval of the reaction equipment, if so, judging that the abnormal forward fluctuation parameter set has repeatability, and if not, judging that the abnormal forward fluctuation parameter set has no repeatability.
Preferably, the performing repeatability verification on the parameter set to be verified, and determining whether the parameter set to be verified has a positive influence on the biomass pyrolysis gasification reaction specifically includes:
setting a plurality of groups of biomass gasification reaction raw materials with different amounts, and adjusting the reaction equipment of biomass pyrolysis gasification reaction to operate according to the parameter groups to be verified;
respectively monitoring and obtaining reaction gasification quantity indexes of a plurality of groups of biomass gasification reaction raw materials under the parameter groups to be verified, and marking the reaction gasification quantity indexes as gasification quantity indexes to be verified;
calculating the average value of a plurality of groups of gasification quantity indexes to be verified, and recording the average value as the average value to be verified;
judging whether the average value to be verified is larger than the average value of the gasification indexes, if so, marking the average value to be verified as a preliminary verification value, and if not, marking the average value to be verified as a non-forward average value;
based on the Grabbs criterion, judging whether the preliminary verification value meets the forward verification requirement, if so, judging that the parameter set to be verified corresponding to the preliminary verification value has a forward influence on the biomass pyrolysis gasification reaction, and if not, marking the average value to be verified as a non-forward average value.
Preferably, the determining whether the preliminary verification value meets the forward verification requirement based on the glabros criterion specifically includes:
constructing a forward verification formula based on the Grabbs criterion;
based on the forward verification formula, judging whether the preliminary verification value meets the forward verification formula, if so, conforming the preliminary verification value to the forward verification requirement, and if not, conforming the preliminary verification value to the forward verification requirement;
wherein, the forward verification formula is:
in the method, in the process of the invention,for preliminary verification value, ++>Is the average value of the gasification indexes, s is the standard deviation of the gasification indexes, bpn 1 The forward verification threshold is determined by a table of the chalcolabs.
Preferably, the calculating the optimal parameter set for the biomass pyrolysis gasification reaction based on all the positive influence parameter sets specifically includes:
respectively screening forward influence parameter groups with the largest forward influence on each gasification index, and marking the forward influence parameter groups as preliminary optimal forward influence parameter groups;
based on the importance degree of each gasification index, adding an important weight value to the preliminary optimal forward direction influence parameter set corresponding to the gasification index;
calculating the optimal value of each parameter through an optimal calculation formula based on the important weight value and the preliminary optimal forward direction influence parameter set, and combining the optimal values of all the parameters into an optimal parameter set;
the optimal calculation formula specifically comprises the following steps:
wherein P' k Is the optimal value of the kth parameter, m is the total number of the preliminary optimal forward influence parameter groups, sigma j Important weight value P for j-th preliminary optimal forward influence parameter set jk The parameter value of the kth parameter in the parameter set is positively influenced for the jth preliminary optimum.
The biomass gasification reaction gasification amount monitoring system is used for realizing the biomass gasification reaction gasification amount monitoring method, and comprises the following steps:
the monitoring module is used for monitoring the change of each gasification amount index of the biomass gasification reaction in real time;
the experimental parameter control module is electrically connected with the monitoring module and is used for adjusting the operation parameters of the reaction equipment for the biomass pyrolysis gasification reaction and obtaining a plurality of gasification index-parameter group change curves based on the change of each gasification index fed back by the monitoring module;
the abnormal analysis module is electrically connected with the experimental parameter control module and is used for analyzing the gasification quantity-parameter set change curve and screening abnormal forward fluctuation intervals of which the gasification quantity index does not accord with normal distribution;
the parameter verification module is electrically connected with the abnormality analysis module and is used for analyzing the abnormal forward fluctuation parameter set, judging whether the abnormal forward fluctuation parameter set has repeatability and carrying out repeatability verification on the parameter set to be verified, and judging whether the parameter set to be verified has forward influence on biomass pyrolysis gasification reaction;
the optimal parameter determining module is electrically connected with the parameter verification module and is used for calculating an optimal parameter set of the biomass pyrolysis gasification reaction based on all forward influence parameter sets.
Optionally, the parameter verification module includes:
the repeatability judging unit is used for analyzing the abnormal forward fluctuation parameter set and judging whether the abnormal forward fluctuation parameter set has repeatability or not;
and the forward verification unit is used for carrying out repeatability verification on the parameter set to be verified and judging whether the parameter set to be verified has a forward influence on the biomass pyrolysis gasification reaction.
A computer-readable storage medium having stored thereon a computer-readable program which, when called, performs the biomass gasification reaction gasification amount monitoring method as described above.
Compared with the prior art, the invention has the beneficial effects that:
according to the biomass gasification reaction gasification quantity monitoring scheme, a plurality of groups of different experimental parameter groups are set in a parameter change interval in the prior experience, comprehensive analysis is performed based on the change of gasification quantity indexes under the different experimental parameter groups, a plurality of parameter groups with positive influence on the gasification quantity indexes are obtained, comprehensive analysis is performed on the plurality of parameter groups with positive influence on the gasification quantity indexes, and an optimal parameter group of biomass pyrolysis gasification reaction is calculated and used as a setting parameter of biomass pyrolysis gasification, so that the pyrolysis gasification reaction parameters of different biomass raw materials can be performed in a targeted mode, the biomass pyrolysis gasification efficiency is effectively improved, and the conversion rate of resources is guaranteed.
Drawings
FIG. 1 is a flow chart of a biomass gasification reaction gasification monitoring method according to the present invention;
FIG. 2 is a flow chart of a method for obtaining a plurality of gasification index-parameter set change curves according to the present invention;
FIG. 3 is a flow chart of a method for screening abnormal forward fluctuation intervals of which the gasification indexes do not accord with normal distribution in the invention;
FIG. 4 is a flowchart of a method for determining whether an abnormal forward fluctuation parameter set has repeatability according to the present invention;
FIG. 5 is a flow chart of a method for determining whether a parameter set to be verified has a positive effect on a biomass pyrolysis gasification reaction in the invention;
FIG. 6 is a flowchart of a method for determining whether a preliminary verification value meets a forward verification requirement according to the present invention;
FIG. 7 is a flow chart of a method of calculating an optimal set of parameters for biomass pyrolysis gasification reactions in accordance with the present invention;
fig. 8 is a block diagram of a biomass gasification reaction gasification monitoring system according to the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a method for monitoring gasification amount of biomass gasification reaction is characterized by comprising:
the operation parameters of the reaction equipment of the biomass pyrolysis gasification reaction are adjusted through experiments, and the change of each gasification amount index of the biomass gasification reaction is monitored in real time, so that a plurality of gasification amount index-parameter set change curves are obtained;
analyzing the gasification quantity-parameter set change curve, and screening abnormal forward fluctuation intervals in which the gasification quantity index does not accord with normal distribution;
acquiring a parameter set of biomass pyrolysis gasification reaction in an abnormal forward fluctuation interval based on a gasification amount index-parameter set change curve, and marking the parameter set as the abnormal forward fluctuation parameter set;
analyzing the abnormal forward fluctuation parameter set, judging whether the abnormal forward fluctuation parameter set has repeatability, if so, marking the abnormal forward fluctuation parameter set as a parameter set to be verified, and if not, marking the abnormal forward fluctuation parameter set as an accidental parameter set;
repeatedly verifying the parameter set to be verified, judging whether the parameter set to be verified has a positive influence on the biomass pyrolysis gasification reaction, if so, marking the parameter set to be verified as the positive influence parameter set, and if not, not responding;
and calculating an optimal parameter set of the biomass pyrolysis gasification reaction based on all the forward influence parameter sets.
According to the scheme, a plurality of different experimental parameter sets are set in the parameter change interval in the prior experience, comprehensive analysis is performed based on the change of the gasification quantity index under the different experimental parameter sets, a plurality of parameter sets with positive influence on the gasification quantity index are obtained, comprehensive analysis is performed on the plurality of parameter sets with positive influence on the gasification quantity index, and the optimal parameter set of biomass pyrolysis gasification reaction is calculated to serve as the setting parameter of biomass pyrolysis gasification, so that the pyrolysis gasification reaction parameters of different biomass raw materials can be performed in a targeted manner.
Referring to fig. 2, the operation parameters of the reaction equipment for the pyrolysis and gasification reaction of biomass are adjusted through experiments, and the change of each gasification amount index of the gasification reaction of biomass is monitored in real time, so that a plurality of gasification amount index-parameter set change curves are obtained, wherein the change curves specifically comprise:
based on historical production experience, determining a plurality of parameters affecting the pyrolysis gasification reaction of biomass, marking the parameters as affecting parameters, and determining a change interval of each affecting parameter;
generating a plurality of experimental parameter values for each parameter according to the set gradient change value based on the change interval of each influencing parameter;
cross-combining a plurality of experimental parameter values corresponding to all parameters to obtain a plurality of experimental parameter sets;
setting operation parameters of reaction equipment for biomass pyrolysis gasification reaction according to the experimental parameter set, recording the change of each gasification index of the biomass gasification reaction, and establishing a gasification index-parameter set change curve by corresponding each gasification index of the biomass gasification reaction to the experimental parameter set one by one.
By setting different experimental parameter groups for biological raw materials without raw materials in the biomass pyrolysis gasification reaction parameter interval of the prior experience, the influence of the parameter change on gasification quantity index in the biomass pyrolysis gasification reaction parameter interval of the prior experience can be accurately obtained
Referring to fig. 3, the analysis of the gasification amount-parameter set change curve, and the screening of the abnormal forward fluctuation interval in which the gasification amount index does not conform to the normal distribution specifically includes:
calculating the average value and standard deviation of gasification indexes in the biomass pyrolysis gasification reaction process based on the gasification quantity-parameter set change curve;
constructing an outlier discrimination formula based on a Grabbs criterion;
based on an abnormal value screening formula, screening the real-time live broadcast data to obtain an abnormal value of the gasification quantity index;
judging whether the abnormal value of the gasification quantity fluctuation is larger than the average value of the gasification quantity, if so, marking the gasification quantity index fluctuation as positive fluctuation, and if not, marking the gasification quantity index fluctuation as negative fluctuation;
wherein, the outlier discrimination formula is:
wherein x is i For the i-th gasification amount index value,s is the standard deviation of the gasification index, bpn is an abnormal value discrimination critical value, and the abnormal value discrimination critical value is determined by a Charpy table;
if the outlier discrimination formula is satisfied, x is i Is the abnormal value of the index of gasification quantity, otherwise, x i Is a normal value among abnormal values of the gasification amount index;
the bpn is determined by setting a positive verification value α according to the energy consumption of the parameter set to be verified corresponding to the preliminary verification value, where the positive verification value α is 0.01-0.1, and the more strict the abnormal value is screened, the smaller the positive verification value α, and in some embodiments, the positive verification value α may be 0.05.
It can be understood that if the influence of the parameter set change on the gasification amount index is not great, the change of the gasification amount index under the experimental parameter set in the biomass pyrolysis gasification reaction parameter interval should be in normal distribution under normal condition, so that the data with the fluctuation state exceeding the normal distribution can be considered as the abnormal value belonging to the gasification amount index, and the corresponding experimental parameter set has influence on the gasification amount index.
Referring to fig. 4, the analysis on the abnormal forward fluctuation parameter set, and the determination on whether the abnormal forward fluctuation parameter set has repeatability specifically includes:
acquiring a rated operation parameter set interval of reaction equipment for biomass pyrolysis gasification reaction;
and judging whether the abnormal forward fluctuation parameter set falls into a rated operation parameter set interval of the reaction equipment, if so, judging that the abnormal forward fluctuation parameter set has repeatability, and if not, judging that the abnormal forward fluctuation parameter set has no repeatability.
Referring to fig. 5, the performing repeatability verification on the parameter set to be verified, and determining whether the parameter set to be verified has a positive influence on the biomass pyrolysis gasification reaction specifically includes:
setting a plurality of groups of biomass gasification reaction raw materials with different amounts, and adjusting the reaction equipment of biomass pyrolysis gasification reaction to operate according to the parameter groups to be verified;
respectively monitoring and obtaining reaction gasification quantity indexes of a plurality of groups of biomass gasification reaction raw materials under the parameter groups to be verified, and marking the reaction gasification quantity indexes as gasification quantity indexes to be verified;
calculating the average value of a plurality of groups of gasification quantity indexes to be verified, and recording the average value as the average value to be verified;
judging whether the average value to be verified is larger than the average value of the gasification indexes, if so, marking the average value to be verified as a preliminary verification value, and if not, marking the average value to be verified as a non-forward average value;
based on the Grabbs criterion, judging whether the preliminary verification value meets the forward verification requirement, if so, judging that the parameter set to be verified corresponding to the preliminary verification value has a forward influence on the biomass pyrolysis gasification reaction, and if not, marking the average value to be verified as a non-forward average value.
Referring to fig. 6, the determining whether the preliminary verification value meets the forward verification requirement based on the glabros criterion specifically includes:
constructing a forward verification formula based on the Grabbs criterion;
based on the forward verification formula, judging whether the preliminary verification value meets the forward verification formula, if so, conforming the preliminary verification value to the forward verification requirement, and if not, conforming the preliminary verification value to the forward verification requirement;
wherein, the forward verification formula is:
in the method, in the process of the invention,for preliminary verification value, ++>Is the average value of the gasification indexes, s is the standard deviation of the gasification indexes, bpn 1 The forward verification threshold is determined by a table of the chalcolabs.
Therein, bpn 1 The determination mode is that the forward verification detection value alpha is set according to the energy consumption of the parameter group to be verified corresponding to the preliminary verification value 1 Forward verification of the detected value α 1 The larger the energy consumption of the parameter group to be verified corresponding to the preliminary verification value is, the larger the value range is 0.01-0.1, and the positive verification is carried out on the detection value alpha 1 The larger is, then, based on the forward verification detection value alpha 1 Acquiring a corresponding forward verification critical value from a Charpy table;
it can be understood that the reaction equipment for the biomass pyrolysis gasification reaction operates according to different parameter sets, if the energy consumption of the parameter set to be verified is too large, the forward benefit brought by the reaction equipment is required to be large enough to offset the increase of the energy consumption caused by the reaction equipment, based on the reaction equipment, the preliminary verification value is verified by the forward verification formula, and the parameter set to be verified only by the forward verification is used as the forward parameter set to calculate the optimal parameter set, so that the forward benefit influence of the calculated optimal parameter set on the biomass pyrolysis gasification reaction is effectively ensured.
Referring to fig. 7, the calculating the optimal parameter set for the pyrolysis gasification reaction of biomass based on all the positive influence parameter sets specifically includes:
respectively screening forward influence parameter groups with the largest forward influence on each gasification index, and marking the forward influence parameter groups as preliminary optimal forward influence parameter groups;
based on the importance degree of each gasification index, adding an important weight value to the preliminary optimal forward direction influence parameter set corresponding to the gasification index;
calculating the optimal value of each parameter through an optimal calculation formula based on the important weight value and the preliminary optimal forward direction influence parameter set, and combining the optimal values of all the parameters into an optimal parameter set;
the optimal calculation formula specifically comprises the following steps:
wherein P' k Is the optimal value of the kth parameter, m is the total number of the preliminary optimal forward influence parameter groups, sigma j Important weight value P for j-th preliminary optimal forward influence parameter set jk The parameter value of the kth parameter in the parameter set is positively influenced for the jth preliminary optimum.
It can be understood that the gasification amount index for judging the biomass gasification reaction comprises an equivalent ratio, a gas yield, a gas heat value and a gasification efficiency, and the requirements for each gasification amount index are different under different production and processing requirements.
Referring to fig. 8, based on the same inventive concept as the biomass gasification reaction gasification amount monitoring method, the present disclosure further provides a biomass gasification reaction gasification amount monitoring system, which includes:
the monitoring module is used for monitoring the change of each gasification amount index of the biomass gasification reaction in real time;
the experimental parameter control module is electrically connected with the monitoring module and is used for adjusting the operation parameters of the reaction equipment for the biomass pyrolysis gasification reaction and obtaining a plurality of gasification index-parameter group change curves based on the change of each gasification index fed back by the monitoring module;
the abnormal analysis module is electrically connected with the experimental parameter control module and is used for analyzing the gasification quantity-parameter set change curve and screening abnormal forward fluctuation intervals of which the gasification quantity index does not accord with normal distribution;
the parameter verification module is electrically connected with the abnormality analysis module and is used for analyzing the abnormal forward fluctuation parameter set, judging whether the abnormal forward fluctuation parameter set has repeatability and carrying out repeatability verification on the parameter set to be verified, and judging whether the parameter set to be verified has forward influence on biomass pyrolysis gasification reaction;
the optimal parameter determining module is electrically connected with the parameter verification module and is used for calculating an optimal parameter set of the biomass pyrolysis gasification reaction based on all forward influence parameter sets.
The parameter verification module comprises:
the repeatability judging unit is used for analyzing the abnormal forward fluctuation parameter set and judging whether the abnormal forward fluctuation parameter set has repeatability or not;
and the forward verification unit is used for carrying out repeatability verification on the parameter set to be verified and judging whether the parameter set to be verified has a forward influence on the biomass pyrolysis gasification reaction.
The working process of the biomass gasification reaction gasification monitoring system is as follows:
step one: the experimental parameter control module determines a plurality of parameters which have influence on the biomass pyrolysis gasification reaction based on historical production experience, marks the parameters as influence parameters and determines a change interval of each influence parameter; generating a plurality of experimental parameter values for each parameter according to the set gradient change value based on the change interval of each influencing parameter; cross-combining a plurality of experimental parameter values corresponding to all parameters to obtain a plurality of experimental parameter sets;
step two: the experimental parameter control module outputs control signals to the reaction equipment of the biomass pyrolysis gasification reaction according to the experimental parameter set, the monitoring module monitors the change of each gasification amount index of the biomass gasification reaction in real time, and feeds back the monitored data to the experimental parameter control module, and the experimental parameter control module obtains a plurality of gasification amount index-parameter set change curves based on the change of each gasification amount index fed back by the monitoring module;
step three: the abnormal analysis module analyzes the variation curve of the gasification quantity-parameter set, screens an abnormal forward fluctuation interval in which the gasification quantity index does not accord with normal distribution, acquires a parameter set of biomass pyrolysis gasification reaction in the abnormal forward fluctuation interval based on the variation curve of the gasification quantity index-parameter set, and marks the parameter set as the abnormal forward fluctuation parameter set;
step four: the repeatability judging unit analyzes the abnormal forward fluctuation parameter set to judge whether the abnormal forward fluctuation parameter set has repeatability, if so, the abnormal forward fluctuation parameter set is marked as a parameter set to be verified, and if not, the abnormal forward fluctuation parameter set is marked as an accidental parameter set;
step five: the forward verification unit performs repeated verification on the parameter set to be verified, judges whether the parameter set to be verified has a forward influence on the biomass pyrolysis gasification reaction, if so, marks the parameter set to be verified as a forward influence parameter set, and if not, does not respond;
step six: the optimal parameter determination module calculates an optimal parameter set of the biomass pyrolysis gasification reaction based on all the forward direction influence parameter sets.
Still further, the present invention also provides a computer readable storage medium having a computer readable program stored thereon, the computer readable program when invoked performing the biomass gasification reaction gasification monitoring method as described above;
it is understood that the computer readable storage medium may be a magnetic medium, e.g., floppy disk, hard disk, tape; optical media such as DVD; or a semiconductor medium such as a solid state disk SolidStateDisk, SSD, etc.
In summary, the invention has the advantages that: different biomass raw materials are subjected to pyrolysis gasification reaction parameters in a targeted manner based on biomass gasification reaction gasification amount monitoring data, so that the biomass pyrolysis gasification efficiency can be effectively improved, and the conversion rate of resources is ensured.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. The biomass gasification reaction gasification amount monitoring method is characterized by comprising the following steps of:
the operation parameters of the reaction equipment of the biomass pyrolysis gasification reaction are adjusted through experiments, and the change of each gasification amount index of the biomass gasification reaction is monitored in real time, so that a plurality of gasification amount index-parameter set change curves are obtained;
analyzing the gasification quantity-parameter set change curve, and screening abnormal forward fluctuation intervals in which the gasification quantity index does not accord with normal distribution;
acquiring a parameter set of biomass pyrolysis gasification reaction in an abnormal forward fluctuation interval based on a gasification amount index-parameter set change curve, and marking the parameter set as the abnormal forward fluctuation parameter set;
analyzing the abnormal forward fluctuation parameter set, judging whether the abnormal forward fluctuation parameter set has repeatability, if so, marking the abnormal forward fluctuation parameter set as a parameter set to be verified, and if not, marking the abnormal forward fluctuation parameter set as an accidental parameter set;
repeatedly verifying the parameter set to be verified, judging whether the parameter set to be verified has a positive influence on the biomass pyrolysis gasification reaction, if so, marking the parameter set to be verified as the positive influence parameter set, and if not, not responding;
calculating an optimal parameter set of the biomass pyrolysis gasification reaction based on all the forward direction influence parameter sets;
the step of analyzing the gasification amount-parameter set change curve and screening the abnormal forward fluctuation interval of which the gasification amount index does not accord with the normal distribution specifically comprises the following steps:
calculating the average value and standard deviation of gasification indexes in the biomass pyrolysis gasification reaction process based on the gasification quantity-parameter set change curve;
constructing an outlier discrimination formula based on a Grabbs criterion;
based on an abnormal value screening formula, screening the real-time live broadcast data to obtain an abnormal value of the gasification quantity index;
judging whether the abnormal value of the gasification quantity fluctuation is larger than the average value of the gasification quantity, if so, marking the gasification quantity index fluctuation as positive fluctuation, and if not, marking the gasification quantity index fluctuation as negative fluctuation;
wherein, the outlier discrimination formula is:
wherein x is i For the i-th gasification amount index value,s is the standard deviation of the gasification index, bpn is an abnormal value discrimination critical value, and the abnormal value discrimination critical value is determined by a Charpy table;
if the outlier discrimination formula is satisfied, x is i Is the abnormal value of the index of gasification quantity, otherwise, x i Is a normal value among abnormal values of the gasification amount index;
the analyzing the abnormal forward fluctuation parameter set, and judging whether the abnormal forward fluctuation parameter set has repeatability specifically comprises:
acquiring a rated operation parameter set interval of reaction equipment for biomass pyrolysis gasification reaction;
judging whether the abnormal forward fluctuation parameter set falls into a rated operation parameter set interval of the reaction equipment, if so, judging that the abnormal forward fluctuation parameter set has repeatability, and if not, judging that the abnormal forward fluctuation parameter set does not have repeatability;
the repeated verification of the parameter set to be verified, and the judgment of whether the parameter set to be verified has a positive influence on the biomass pyrolysis gasification reaction specifically comprises the following steps:
setting a plurality of groups of biomass gasification reaction raw materials with different amounts, and adjusting the reaction equipment of biomass pyrolysis gasification reaction to operate according to the parameter groups to be verified;
respectively monitoring and obtaining reaction gasification quantity indexes of a plurality of groups of biomass gasification reaction raw materials under the parameter groups to be verified, and marking the reaction gasification quantity indexes as gasification quantity indexes to be verified;
calculating the average value of a plurality of groups of gasification quantity indexes to be verified, and recording the average value as the average value to be verified;
judging whether the average value to be verified is larger than the average value of the gasification indexes, if so, marking the average value to be verified as a preliminary verification value, and if not, marking the average value to be verified as a non-forward average value;
based on the Grabbs criterion, judging whether the preliminary verification value meets the forward verification requirement, if so, judging that the parameter set to be verified corresponding to the preliminary verification value has a forward influence on the biomass pyrolysis gasification reaction, and if not, marking the average value to be verified as a non-forward average value;
based on the glabra criterion, the determining whether the preliminary verification value meets the forward verification requirement specifically comprises:
constructing a forward verification formula based on the Grabbs criterion;
based on the forward verification formula, judging whether the preliminary verification value meets the forward verification formula, if so, conforming the preliminary verification value to the forward verification requirement, and if not, conforming the preliminary verification value to the forward verification requirement;
wherein, the forward verification formula is:
in the method, in the process of the invention,for preliminary verification value, ++>Is the average value of the gasification indexes, s is the standard deviation of the gasification indexes, bpn 1 The forward verification critical value is determined by a Chagrans table;
the optimal parameter set for calculating the biomass pyrolysis gasification reaction based on all the forward influence parameter sets specifically comprises the following steps:
respectively screening forward influence parameter groups with the largest forward influence on each gasification index, and marking the forward influence parameter groups as preliminary optimal forward influence parameter groups;
based on the importance degree of each gasification index, adding an important weight value to the preliminary optimal forward direction influence parameter set corresponding to the gasification index;
calculating the optimal value of each parameter through an optimal calculation formula based on the important weight value and the preliminary optimal forward direction influence parameter set, and combining the optimal values of all the parameters into an optimal parameter set;
the optimal calculation formula specifically comprises the following steps:
wherein P' k Is the optimal value of the kth parameter, m is the total number of the preliminary optimal forward influence parameter groups, sigma j Important weight value P for j-th preliminary optimal forward influence parameter set jk The parameter value of the kth parameter in the parameter set is positively influenced for the jth preliminary optimum.
2. The method for monitoring gasification amount of biomass gasification reaction according to claim 1, wherein the steps of experimentally adjusting operation parameters of a reaction device for biomass pyrolysis gasification reaction, and monitoring changes of each gasification amount index of biomass gasification reaction in real time, and obtaining a plurality of gasification amount index-parameter set change curves specifically comprise:
based on historical production experience, determining a plurality of parameters affecting the pyrolysis gasification reaction of biomass, marking the parameters as affecting parameters, and determining a change interval of each affecting parameter;
generating a plurality of experimental parameter values for each parameter according to the set gradient change value based on the change interval of each influencing parameter;
cross-combining a plurality of experimental parameter values corresponding to all parameters to obtain a plurality of experimental parameter sets;
setting operation parameters of reaction equipment for biomass pyrolysis gasification reaction according to the experimental parameter set, recording the change of each gasification index of the biomass gasification reaction, and establishing a gasification index-parameter set change curve by corresponding each gasification index of the biomass gasification reaction to the experimental parameter set one by one.
3. A biomass gasification reaction gasification amount monitoring system for implementing the biomass gasification reaction gasification amount monitoring method according to any one of claims 1 to 2, comprising:
the monitoring module is used for monitoring the change of each gasification amount index of the biomass gasification reaction in real time;
the experimental parameter control module is electrically connected with the monitoring module and is used for adjusting the operation parameters of the reaction equipment for the biomass pyrolysis gasification reaction and obtaining a plurality of gasification index-parameter group change curves based on the change of each gasification index fed back by the monitoring module;
the abnormal analysis module is electrically connected with the experimental parameter control module and is used for analyzing the gasification quantity-parameter set change curve and screening abnormal forward fluctuation intervals of which the gasification quantity index does not accord with normal distribution;
the parameter verification module is electrically connected with the abnormality analysis module and is used for analyzing the abnormal forward fluctuation parameter set, judging whether the abnormal forward fluctuation parameter set has repeatability and carrying out repeatability verification on the parameter set to be verified, and judging whether the parameter set to be verified has forward influence on biomass pyrolysis gasification reaction;
the optimal parameter determining module is electrically connected with the parameter verification module and is used for calculating an optimal parameter set of the biomass pyrolysis gasification reaction based on all forward influence parameter sets.
4. A biomass gasification reaction gasification rate monitoring system according to claim 3, wherein said parameter verification module comprises:
the repeatability judging unit is used for analyzing the abnormal forward fluctuation parameter set and judging whether the abnormal forward fluctuation parameter set has repeatability or not;
and the forward verification unit is used for carrying out repeatability verification on the parameter set to be verified and judging whether the parameter set to be verified has a forward influence on the biomass pyrolysis gasification reaction.
5. A computer-readable storage medium having a computer-readable program stored thereon, wherein the computer-readable program when invoked performs the biomass gasification reaction gasification amount monitoring method according to any one of claims 1 to 2.
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