CN117891222A - Synchronous optimization monitoring method for multi-effect fermentation organic matter preparation process - Google Patents
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Abstract
The invention relates to a synchronous optimization monitoring method for a multi-effect fermentation organic matter preparation process, which comprises the following steps: obtaining fermentation process information of multi-effect fermentation organic matters; synchronous monitoring treatment is carried out according to the fermentation process information of the multi-effect fermentation organic matters to establish a fermentation information database of the multi-effect fermentation organic matters; establishing a ferment function output model of the multi-effect ferment organic matter by utilizing the ferment information database of the multi-effect ferment organic matter; obtaining a synchronous optimization monitoring result of the preparation process of the multi-effect fermentation organic matter according to the fermentation product function output model of the multi-effect fermentation organic matter; the invention realizes the optimal production process with maximum fermentation product yield, optimal product quality, lowest production cost and highest production efficiency by monitoring the fermentation production process in real time and optimizing the fermentation conditions.
Description
Technical Field
The invention relates to the technical field of fermentation engineering, in particular to a synchronous optimization monitoring method for a multi-effect fermentation organic matter preparation process.
Background
The fermented feed is prepared by fermenting organic matters by utilizing microorganisms, so that the organic matters become nutrient substances which are easy to digest and absorb, and the nutritive value of the feed can be improved; in aquaculture, the fermented feed can improve water quality, protect ecological environment and improve economic benefit in application; however, the nutritional ingredients of the fermented feed are unstable, which can affect the growth effect of aquaculture; therefore, in mass production of fermented feed, strict control of the preparation process and quality is required to ensure the stability of the nutritional ingredients of the fermented feed.
With the rapid development of modern engineering technology, the scale of fermentation industrial production is gradually enlarged, and higher requirements are also put on the productivity and the production level of the fermentation process; at present, research work for improving the production level of a fermentation process is concentrated on screening and modifying strains, and although modern biotechnology advances in the fields of genetic engineering and metabolic engineering, high-yield strains can be obtained by means of mutation induction, genetic recombination, culture and the like, the optimal production with the maximum product yield, the optimal product quality and the lowest production cost in the fermentation process is realized, and one of the main research problems in the field of fermentation engineering is still needed, so that the production process needs to be monitored in real time.
The operation parameters and the process parameters of the fermentation production process are more, the dynamic change is quick, the time sequence requirement is higher, the quality of the fermentation product is greatly influenced even if the smaller parameter changes, the fermentation process is difficult to accurately control, the fermentation quality is poor, and the production efficiency is low.
Therefore, production conditions are required to be mastered in time and condition optimization control is carried out, and optimal reaction conditions are screened out, so that raw material consumption can be reduced, and product quality can be improved; and the real-time monitoring of the fermentation production process can help enterprises to improve production efficiency, stabilize production, reduce risks and reduce cost.
Disclosure of Invention
In order to solve the problems of poor quality and low production efficiency of fermentation caused by difficult precise control of the fermentation production process, a method for optimizing reaction conditions by monitoring the fermentation production process in real time is needed, and based on the problems, the invention provides a synchronous optimization monitoring method for a multi-efficiency fermentation organic matter preparation process, which comprises the following steps:
s1, obtaining fermentation process information of multi-effect fermentation organic matters;
s2, synchronous monitoring treatment is carried out according to the fermentation process information of the multi-effect fermentation organic matters, and a fermentation information database of the multi-effect fermentation organic matters is established;
s3, establishing a ferment function output model of the multi-functional ferment organic matter by utilizing the ferment information database of the multi-functional ferment organic matter;
s4, obtaining a synchronous optimization monitoring result of the preparation process of the multi-effect fermentation organic matter according to the fermentation product function output model of the multi-effect fermentation organic matter.
Preferably, the obtaining fermentation process information of the multi-effect fermentation organic matter includes:
acquiring carbon source information and strain information of the multi-effect fermentation organic matters;
respectively obtaining fermentation intermediate data and fermentation final product data of the multi-effect fermentation organic matter according to the carbon source information and the strain information of the multi-effect fermentation organic matter;
using the fermentation intermediate data and the fermentation end product data of the multi-effect fermentation organic matter as fermentation process information of the multi-effect fermentation organic matter;
the fermentation intermediate data of the multi-effect fermentation organic matter comprises fermentation temperature information, fermentation humidity information and fermentation time information corresponding to the fermentation intermediate; the fermentation end product data of the multi-effect fermentation organic matter comprises fermentation temperature information, fermentation humidity information and fermentation time information corresponding to the fermentation end product.
Further, the step of performing synchronous monitoring processing according to the fermentation process information of the multi-effect fermentation organic matter to establish a fermentation information database of the multi-effect fermentation organic matter comprises the following steps:
performing real-time monitoring treatment according to the process information of the fermented organic matters to obtain real-time monitoring data of the multi-effect fermented organic matters;
synchronous detection processing is carried out according to the process information of the fermented organic matters to obtain synchronous detection data of the multi-effect fermented organic matters;
and establishing a fermentation information database of the multi-functional fermentation organic matters by utilizing the real-time monitoring data and the synchronous detection data of the multi-functional fermentation organic matters.
Further, performing real-time monitoring processing according to the process information of the fermented organic matter to obtain real-time monitoring data of the multi-effect fermented organic matter includes:
the temperature sensor is used for monitoring and acquiring temperature change information in the process of preparing a fermentation end product in real time;
the humidity sensor is used for monitoring and acquiring humidity change information in the process of preparing a fermentation end product in real time;
monitoring and acquiring gas content change information in the process of preparing a fermentation end product in real time by using a gas sensor;
acquiring data information corresponding to a fermentation end product in the preparation process according to the gas content change information;
acquiring humidity change information of the fermentation end product in the corresponding preparation process according to the data information of the fermentation end product;
acquiring temperature change information of the fermentation end product in the corresponding preparation process according to the data information of the fermentation end product;
the temperature change information, the humidity change information and the gas content change information are used as real-time monitoring data of the multi-effect fermentation organic matters;
the data information of the fermentation end product comprises carbon source consumption information, strain consumption information and growth condition information of the fermentation end product in the process of preparing the fermentation end product.
Further, performing synchronous detection processing according to the process information of the fermented organic matter to obtain synchronous detection data of the multi-effect fermented organic matter includes:
obtaining the morphological change information of the fermented product in the process of preparing the fermentation final product by utilizing a microscopic technology;
qualitative analysis is carried out by utilizing a spectrum detection technology to obtain the variation information of the components of the ferment in the process of preparing the ferment final product;
quantitatively analyzing and obtaining dynamic change information of a fermentation intermediate and a fermentation end product in the process of preparing the fermentation end product by utilizing a chromatographic detection technology;
acquiring data information corresponding to a fermentation end product in the preparation process according to the composition change information of the fermented product;
acquiring dynamic change information of a fermentation intermediate and a fermentation end product in the process of correspondingly preparing the fermentation end product according to the data information of the fermentation end product;
and obtaining synchronous detection data of the multi-effect fermentation organic matters according to dynamic change information of the fermentation intermediate and the fermentation final product.
Further, the establishing a ferment function output model of the multi-functional ferment organic matter by utilizing the ferment information database of the multi-functional ferment organic matter comprises:
s3-1, obtaining an initial training model based on an SVM algorithm by utilizing a fermentation information database of the multi-effect fermentation organic matter;
s3-2, obtaining a ferment function output model of the multi-effect ferment organic matter by utilizing the initial training model.
Further, the obtaining an initial training model based on an SVM algorithm by utilizing the fermentation information database of the multi-effect fermentation organic matter comprises the following steps:
s3-1-1, obtaining fermentation information data affecting preparation of the multi-effect fermentation organic matter by utilizing a fermentation information database of the multi-effect fermentation organic matter;
s3-1-2, training based on SVM to obtain an initial training model by taking real-time data and historical data in the fermentation information database of the multi-effect fermentation organic matter as a training set and taking fermentation information data affecting preparation of the multi-effect fermentation organic matter as a verification set.
Further, the obtaining a ferment function output model of the multi-effect ferment organic matter by using the initial training model comprises the following steps:
inputting an initial training model by using the verification set to obtain an initial output result;
and judging whether the initial output result corresponds to the subset corresponding to the verification set, if so, outputting an initial training model as a ferment function output model of the multi-effect ferment organic matter, otherwise, utilizing the subset corresponding to the non-corresponding verification set as an updated training set, and returning to S3-1-2.
Further, the obtaining the synchronous optimization monitoring result of the preparation process of the multi-effect fermentation organic matter according to the fermentation product function output model of the multi-effect fermentation organic matter comprises the following steps:
s4-1, acquiring optimized fermentation condition information data of the multi-functional fermentation organic matters based on a genetic algorithm by utilizing a fermentation function output model of the multi-functional fermentation organic matters;
s4-2, obtaining synchronous optimization monitoring results of the preparation process of the multi-effect fermentation organic matter by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter.
Further, the method for obtaining the synchronous optimized monitoring result of the preparation process of the multi-effect fermentation organic matter by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter comprises the following steps:
s4-1-1, outputting key fermentation condition information data influencing the preparation of the multi-functional fermentation organic matters by utilizing a fermentation product function output model of the multi-functional fermentation organic matters;
s4-1-2, screening the key fermentation condition information data based on a genetic algorithm to obtain optimized fermentation condition information data of the multi-effect fermentation organic matter;
the information data of the optimal fermentation conditions of the multi-effect fermentation organic matters comprise optimal fermentation temperature, fermentation humidity, fermentation time, optimal addition amount of strains, optimal combination of raw materials and optimal proportion;
s4-2-1, obtaining information of final products of the multi-effect fermentation organic matters by utilizing information data of optimized fermentation conditions of the multi-effect fermentation organic matters;
s4-2-1-1, fermenting according to the optimized fermentation conditions of the multi-effect fermentation organic matter to prepare a multi-effect fermentation organic matter end product.
S4-2-2, obtaining a multi-effect fermentation organic matter quality assessment result according to the information of the final product of the multi-effect fermentation organic matter;
s4-2-2-1, detecting components of a multi-effect fermentation organic matter end product to verify whether the multi-effect fermentation organic matter end product is a required multi-effect fermentation organic matter, if so, executing S4-2-2-2, otherwise, judging that the multi-effect fermentation organic matter quality evaluation result is poor;
s4-2-2-2, using quality and yield information of the fermented organic matters prepared before condition optimization as a standard, and performing qualitative and quantitative analysis and detection to obtain a multi-effect fermented organic matter quality assessment result;
s4-2-3, obtaining a production evaluation result by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter;
s4-2-3-1, obtaining production information by utilizing optimized fermentation condition information data of the multi-effect fermentation organic matters;
s4-2-3-2, obtaining a production evaluation result by using production information before fermentation condition optimization as a standard;
the production information comprises production cost information, production efficiency information and production risk information;
s4-2-4, using the multi-effect fermentation organic matter quality evaluation result and the production evaluation result as synchronous optimization monitoring results of the multi-effect fermentation organic matter preparation process.
The invention has the advantages that:
the invention provides a synchronous optimization monitoring method for a multi-effect fermentation organic matter preparation process,
by monitoring the fermentation production process in real time, timely grasping the production condition in the fermentation process and optimizing the fermentation condition, the optimal production process with the maximum yield of fermentation products, optimal product quality, lowest production cost and highest production efficiency can be realized.
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FIG. 1 is a flow chart of a synchronous optimized monitoring method for a multi-efficiency fermentation organic matter preparation process.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully, and it is apparent that the embodiments described are merely some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention disclosed herein without departing from the scope of the invention.
Example 1 the present invention provides a method for simultaneous optimization monitoring of a multi-efficiency fermentation organic matter production process, as shown in fig. 1, comprising:
s1, obtaining fermentation process information of multi-effect fermentation organic matters;
s2, synchronous monitoring treatment is carried out according to the fermentation process information of the multi-effect fermentation organic matters, and a fermentation information database of the multi-effect fermentation organic matters is established;
s3, establishing a ferment function output model of the multi-functional ferment organic matter by utilizing the ferment information database of the multi-functional ferment organic matter;
s4, obtaining a synchronous optimization monitoring result of the preparation process of the multi-effect fermentation organic matter according to the fermentation product function output model of the multi-effect fermentation organic matter.
S1 specifically comprises:
s1-1, acquiring carbon source information and strain information of multi-effect fermentation organic matters;
s1-2, respectively obtaining fermentation intermediate data and fermentation final product data of the multi-effect fermentation organic matter according to carbon source information and strain information of the multi-effect fermentation organic matter;
s1-3, utilizing fermentation intermediate data and fermentation end product data of the multi-effect fermentation organic matter as fermentation process information of the multi-effect fermentation organic matter;
in this embodiment, a synchronous optimization monitoring method for a multi-effect fermentation organic matter preparation process, where the carbon source information and the strain information specifically are:
the carbon source is pistacia chinensis seed meal, bran, bean dregs and bran, and the strain is a composite microbial inoculum containing bacillus subtilis, bacillus licheniformis, lactobacillus, saccharomycetes, aspergillus niger, streptomycete and penicillium oxalicum and a composite enzyme consisting of cellulase and amylase; the fermentation intermediate data includes: according to the carbon source and strain preparation experiments, the fermentation temperature required by synthesizing the fermentation intermediate cellulose ferment is 28-30 ℃, the fermentation humidity is 60-80%, the fermentation time is 35-40 days, the fermentation temperature required by synthesizing the fermentation intermediate enzymolysis plant protein is 35-40 ℃, the fermentation humidity is 60-80%, and the fermentation time is 8-10 days; the fermentation end product data includes: the fermentation temperature required by synthesizing the fermentation end product multi-effect fermentation organic matters is 28-30 ℃, the fermentation humidity is 60-80%, and the fermentation time is 10-15 days.
S2 specifically comprises:
s2-1, performing real-time monitoring treatment according to the process information of the fermented organic matters to obtain real-time monitoring data of the multi-effect fermented organic matters;
s2-2, performing synchronous detection processing according to the process information of the fermented organic matters to obtain synchronous detection data of the multi-effect fermented organic matters;
s2-3, establishing a fermentation information database of the multi-functional fermentation organic matters by utilizing the real-time monitoring data and the synchronous detection data of the multi-functional fermentation organic matters.
S2-1 specifically comprises:
s2-1-1, monitoring and acquiring temperature change information in the process of preparing a fermentation end product in real time by using a temperature sensor;
s2-1-2, utilizing a humidity sensor to monitor and acquire humidity change information in the process of preparing a fermentation end product in real time;
s2-1-3, utilizing a gas sensor to monitor and acquire gas content change information in the process of preparing a fermentation end product in real time;
s2-1-4, acquiring data information corresponding to a fermentation end product in the preparation process according to the gas content change information;
s2-1-5, acquiring humidity change information of the fermentation end product in the corresponding preparation process according to the data information of the fermentation end product;
s2-1-6, acquiring temperature change information of a fermentation end product in a corresponding preparation process according to data information of the fermentation end product;
s2-1-7, using the temperature change information, the humidity change information and the gas content change information as real-time monitoring data of the multi-effect fermentation organic matters;
the data information of the fermentation end product comprises carbon source consumption information, strain consumption information and growth condition information of the fermentation end product in the process of preparing the fermentation end product.
In this embodiment, a synchronous optimization monitoring method for a multi-effect fermentation organic matter preparation process, wherein the real-time monitoring processing of process information of the fermentation organic matter specifically includes:
a plurality of sensors, including a temperature sensor, a humidity sensor and a gas sensor, are respectively arranged in a main fermentation tank and two secondary fermentation tanks, and the sensors are used for respectively acquiring temperature change information which corresponds to a fermentation product in the process of preparing a fermentation end product, wherein the temperature change information is 28-30 ℃, the humidity change information is 60-80%, and the gas content change information is 30-40%, the sensors in each fermentation tank are connected with each other, a sensor network is constructed, and the change information data output by the sensor network are related with each other; acquiring information of carbon source and strain consumption in the preparation process of a fermentation final product and growth condition information of the fermentation final product according to the information of gas content change, acquiring real-time monitoring data of multi-effect fermentation organic matters according to the information of fermentation process information data when the fermentation final product is prepared, wherein the temperature is 28-30 ℃ and the humidity is 60-80% in the process of generating the fermentation final product, and mutually verifying the information data output by a sensor network; meanwhile, a pressure sensor, a pH sensor and a dissolved oxygen sensor can be additionally arranged in actual production to acquire corresponding pressure data, pH data and dissolved oxygen content data.
S2-2 specifically comprises:
s2-2-1, acquiring form change information of a fermentation product in the process of preparing a fermentation final product by utilizing a microscopic technology;
s2-2-2, qualitatively analyzing and obtaining the variation information of the components of the ferment in the process of preparing the ferment final product by utilizing a spectrum detection technology;
s2-2-3, quantitatively analyzing and obtaining dynamic change information of a fermentation intermediate and a fermentation end product in the process of preparing the fermentation end product by utilizing a chromatographic detection technology;
s2-2-4, acquiring data information corresponding to a fermentation end product in the preparation process according to the composition change information of the fermentation product;
s2-2-5, acquiring dynamic change information of a fermentation intermediate and a fermentation end product in the process of correspondingly preparing the fermentation end product according to the data information of the fermentation end product;
s2-2-6, obtaining synchronous detection data of the multi-effect fermentation organic matters according to dynamic change information of the fermentation intermediate and the fermentation final product;
in this embodiment, a synchronous optimization monitoring method for a preparation process of a multi-functional fermented organic matter, wherein the synchronous detection processing of process information of the fermented organic matter specifically includes:
connecting a plurality of detection devices outside a main fermentation tank and two secondary fermentation tanks, wherein the detection devices comprise a microscopic device, a spectrum detection device and a chromatographic detection device, and constructing a detection network for periodically detecting and outputting the morphological change, distribution condition, composition information and relevant result data of qualitative and quantitative analysis of a detected fermentation sample, wherein the morphological change information and distribution condition information of a fermentation product in the process of preparing a fermentation end product are observed and obtained through a microscope; obtaining the variation information of the composition components of the ferment in the process of preparing the ferment final product through the detection and qualitative analysis of infrared spectrum, ultraviolet-visible absorption spectrum and Raman spectrum; obtaining synthesis condition information and composition component content information of a fermentation intermediate cellulose fermentation product, a fermentation intermediate enzymolysis plant protein and a multi-effect fermentation organic matter of a fermentation end product in the process of preparing the fermentation end product through gas chromatography and high performance liquid chromatography quantitative analysis;
s3 specifically comprises:
s3-1, obtaining an initial training model based on an SVM algorithm by utilizing a fermentation information database of the multi-effect fermentation organic matter;
s3-2, obtaining a ferment function output model of the multi-effect ferment organic matter by utilizing the initial training model.
S3-1 specifically comprises:
s3-1-1, obtaining fermentation information data affecting preparation of the multi-effect fermentation organic matter by utilizing a fermentation information database of the multi-effect fermentation organic matter;
s3-1-2, training based on SVM to obtain an initial training model by taking real-time data and historical data in a fermentation information database of the multi-effect fermentation organic matter as a training set and taking fermentation information data affecting preparation of the multi-effect fermentation organic matter as a verification set;
in this embodiment, a synchronous optimization monitoring method for a preparation process of a multi-functional fermented organic matter, where fermentation information data affecting preparation of the multi-functional fermented organic matter includes:
temperature information, humidity information and gas content information data for influencing the preparation of a fermentation intermediate cellulose ferment, a fermentation intermediate enzymolysis plant protein and a fermentation end product multi-effect fermentation organic matter; meanwhile, in actual production, the method also comprises carbon source and strain consumption information data, pressure data, pH data and dissolved oxygen content data.
S3-2 specifically comprises:
s3-2-1, inputting an initial training model by using the verification set to obtain an initial output result;
and S3-2-2, judging whether the initial output result corresponds to the subset corresponding to the verification set, if so, outputting an initial training model as a fermentation product function output model of the multi-effect fermentation organic matter, otherwise, utilizing the subset corresponding to the non-corresponding verification set as an updated training set, and returning to the step S3-1-2.
In this embodiment, a synchronous optimization monitoring method for a multi-functional fermentation organic matter preparation process, where the initial output result and a subset corresponding to the verification set are defined as that the initial output result of the subset of the verification set input into the initial training model at the current moment is consistent with the fermentation information data corresponding to the initial output result.
S4 specifically comprises the following steps:
s4-1, acquiring optimized fermentation condition information data of the multi-functional fermentation organic matters based on a genetic algorithm by utilizing a fermentation function output model of the multi-functional fermentation organic matters;
s4-2, obtaining synchronous optimization monitoring results of the preparation process of the multi-effect fermentation organic matter by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter.
S4-1 specifically comprises:
s4-1-1, outputting key fermentation condition information data influencing the preparation of the multi-functional fermentation organic matters by utilizing a fermentation product function output model of the multi-functional fermentation organic matters;
s4-1-2, screening the key fermentation condition information data based on a genetic algorithm to obtain optimized fermentation condition information data of the multi-effect fermentation organic matter;
in this embodiment, a synchronous optimization monitoring method for a preparation process of a multi-functional fermented organic matter, where key fermentation condition information data affecting preparation of the multi-functional fermented organic matter includes: the temperature information data, the humidity information data and the fermentation time data are screened based on a genetic algorithm, and the temperature which is favorable for preparing a fermentation intermediate cellulose fermentation product is found to be 28 ℃, the humidity is found to be 60%, and the fermentation time is found to be 30 days; the temperature for preparing the zymolytic vegetable protein which is favorable for the fermentation intermediate is 35 ℃, the humidity is 40%, and the fermentation time is 5 days; the temperature for preparing the multi-effect fermentation organic matter is 30 ℃, the humidity is 80%, and the fermentation time is 3 days;
according to the most proper fermentation conditions screened by a genetic algorithm, obtaining the optimal combination of raw materials for preparing a fermentation intermediate cellulose fermentation product according to fermentation dynamics, wherein the optimal ratio of pistacia chinensis seed meal to bran is 2-5:1-3; the optimal strain is a composite bacterial agent consisting of bacillus subtilis, bacillus licheniformis, aspergillus niger, streptomycete and penicillium oxalicum, and the optimal addition amount is 0.2%; the optimal combination of the raw materials for preparing the zymolytic vegetable protein of the fermentation intermediate is bean dregs and bran, the optimal proportion is 2-5:1-3, the optimal strain is a compound enzyme consisting of cellulase and amylase, and the optimal addition amount is 0.2%; the optimal ratio of the cellulose ferment and the enzymolysis plant protein of the fermentation intermediate needed by preparing the multi-effect fermentation organic matter is 5-8:1-3, the optimal strain is a composite microbial inoculum composed of lactobacillus, saccharomycetes and bacillus, and the optimal addition amount is 0.2%.
S4-2 specifically comprises:
s4-2-1, obtaining information of final products of the multi-effect fermentation organic matters by utilizing information data of optimized fermentation conditions of the multi-effect fermentation organic matters in S4-1;
s4-2-1-1, fermenting according to the optimized fermentation conditions of the multi-effect fermentation organic matter to prepare a multi-effect fermentation organic matter end product.
S4-2-2, obtaining a multi-effect fermentation organic matter quality assessment result according to the information of the final product of the multi-effect fermentation organic matter;
s4-2-2-1, detecting components of a multi-effect fermentation organic matter end product to verify whether the multi-effect fermentation organic matter end product is a required multi-effect fermentation organic matter, if so, executing S4-2-2-2, otherwise, judging that the multi-effect fermentation organic matter quality evaluation result is poor;
s4-2-2-2, using quality and yield information of the fermented organic matters prepared before condition optimization as a standard, and performing qualitative and quantitative analysis and detection to obtain a multi-effect fermented organic matter quality assessment result;
s4-2-3, obtaining a production evaluation result by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter;
s4-2-3-1, obtaining production information by utilizing optimized fermentation condition information data of the multi-effect fermentation organic matters;
s4-2-3-2, obtaining a production evaluation result by using production information before fermentation condition optimization as a standard;
s4-2-4, using the multi-effect fermentation organic matter quality evaluation result and the production evaluation result as synchronous optimization monitoring results of the multi-effect fermentation organic matter preparation process.
In this embodiment, a synchronous optimization monitoring method for a multi-effect fermentation organic matter preparation process, the step S4-2 specifically includes:
performing process preparation of multi-effect fermentation organic matters according to the optimal raw material combination and ratio, the optimal strain and the addition amount and the fermentation conditions favorable for preparation, performing qualitative and quantitative analysis detection on the components and the contents of the prepared fermentation final product through infrared spectrum, raman spectrum and high performance liquid chromatography to verify that the prepared fermentation final product is the required multi-effect fermentation organic matters, performing quality assessment on the multi-effect fermentation organic matters, taking quality and yield information of the fermentation organic matters prepared before condition optimization as the standard, obtaining a multi-effect fermentation organic matter quality assessment result which is good, and increasing the protein and amino acid contents in the optimized multi-effect fermentation organic matters compared with the fermentation organic matters prepared before condition optimization, wherein the yield of the multi-effect fermentation organic matters is increased; the production information before the fermentation condition optimization is used as a standard, the obtained production evaluation result is good, and compared with the production information before the condition optimization, the optimized production of the multi-effect fermentation organic matters reduces the raw material consumption and the production cost; the fermentation time is shortened, and the production efficiency is improved; the reaction process is timely controlled through real-time monitoring, so that the production risk is reduced; the result of combining the quality evaluation result and the production evaluation result of the multi-effect fermentation organic matter is used as a synchronous optimization monitoring result of the multi-effect fermentation organic matter preparation process; according to the optimized monitoring result, the synchronous monitoring method provided by the invention is used for successfully optimizing the process production of the multi-effect fermentation organic matter preparation.
It will be evident to those skilled in the art that the present invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing description is only illustrative of the present invention and is not intended to limit the invention, but any minor modifications, equivalents, and improvements made to the above embodiments according to the technical principles of the present invention should be included in the scope of the technical solutions of the present invention.
Claims (10)
1. The synchronous optimization monitoring method for the multi-effect fermentation organic matter preparation process is characterized by comprising the following steps of:
s1, obtaining fermentation process information of multi-effect fermentation organic matters;
s2, synchronous monitoring treatment is carried out according to the fermentation process information of the multi-effect fermentation organic matters, and a fermentation information database of the multi-effect fermentation organic matters is established;
s3, establishing a ferment function output model of the multi-functional ferment organic matter by utilizing the ferment information database of the multi-functional ferment organic matter;
s4, obtaining a synchronous optimization monitoring result of the preparation process of the multi-effect fermentation organic matter according to the fermentation product function output model of the multi-effect fermentation organic matter.
2. The method for simultaneous optimization monitoring of a multi-functional fermentation organic matter production process according to claim 1, wherein the obtaining fermentation process information of the multi-functional fermentation organic matter comprises:
acquiring carbon source information and strain information of the multi-effect fermentation organic matters;
respectively obtaining fermentation intermediate data and fermentation final product data of the multi-effect fermentation organic matter according to the carbon source information and the strain information of the multi-effect fermentation organic matter;
using the fermentation intermediate data and the fermentation end product data of the multi-effect fermentation organic matter as fermentation process information of the multi-effect fermentation organic matter;
the fermentation intermediate data of the multi-effect fermentation organic matter comprises fermentation temperature information, fermentation humidity information and fermentation time information corresponding to the fermentation intermediate; the fermentation end product data of the multi-effect fermentation organic matter comprises fermentation temperature information, fermentation humidity information and fermentation time information corresponding to the fermentation end product.
3. The method for synchronously optimizing and monitoring the preparation process of the multi-effect fermented organic matter according to claim 2, wherein the step of synchronously monitoring the fermentation process information of the multi-effect fermented organic matter to establish a fermentation information database of the multi-effect fermented organic matter comprises the steps of:
performing real-time monitoring treatment according to the process information of the fermented organic matters to obtain real-time monitoring data of the multi-effect fermented organic matters;
synchronous detection processing is carried out according to the process information of the fermented organic matters to obtain synchronous detection data of the multi-effect fermented organic matters;
and establishing a fermentation information database of the multi-functional fermentation organic matters by utilizing the real-time monitoring data and the synchronous detection data of the multi-functional fermentation organic matters.
4. The method for simultaneous optimization and monitoring of a process for preparing a multi-functional fermented organic matter according to claim 3, wherein the step of performing real-time monitoring processing according to process information of the fermented organic matter to obtain real-time monitoring data of the multi-functional fermented organic matter comprises the steps of:
the temperature sensor is used for monitoring and acquiring temperature change information in the process of preparing a fermentation end product in real time;
the humidity sensor is used for monitoring and acquiring humidity change information in the process of preparing a fermentation end product in real time;
monitoring and acquiring gas content change information in the process of preparing a fermentation end product in real time by using a gas sensor;
acquiring data information corresponding to a fermentation end product in the preparation process according to the gas content change information;
acquiring humidity change information of the fermentation end product in the corresponding preparation process according to the data information of the fermentation end product;
acquiring temperature change information of the fermentation end product in the corresponding preparation process according to the data information of the fermentation end product;
the temperature change information, the humidity change information and the gas content change information are used as real-time monitoring data of the multi-effect fermentation organic matters;
the data information of the fermentation end product comprises carbon source consumption information, strain consumption information and growth condition information of the fermentation end product in the process of preparing the fermentation end product.
5. The method for synchronously optimizing and monitoring the preparation process of the multi-functional fermented organic matter according to claim 3, wherein the step of synchronously detecting the multi-functional fermented organic matter according to the process information of the fermented organic matter comprises the steps of:
obtaining the morphological change information of the fermented product in the process of preparing the fermentation final product by utilizing a microscopic technology;
qualitative analysis is carried out by utilizing a spectrum detection technology to obtain the variation information of the components of the ferment in the process of preparing the ferment final product;
quantitatively analyzing and obtaining dynamic change information of a fermentation intermediate and a fermentation end product in the process of preparing the fermentation end product by utilizing a chromatographic detection technology;
acquiring data information corresponding to a fermentation end product in the preparation process according to the composition change information of the fermented product;
acquiring dynamic change information of a fermentation intermediate and a fermentation end product in the process of correspondingly preparing the fermentation end product according to the data information of the fermentation end product;
and obtaining synchronous detection data of the multi-effect fermentation organic matters according to dynamic change information of the fermentation intermediate and the fermentation final product.
6. The method for simultaneous optimization monitoring of a multi-functional fermentation organic matter production process of claim 5, wherein establishing a fermentation function output model of the multi-functional fermentation organic matter using the fermentation information database of the multi-functional fermentation organic matter comprises:
s3-1, obtaining an initial training model based on an SVM algorithm by utilizing a fermentation information database of the multi-effect fermentation organic matter;
s3-2, obtaining a ferment function output model of the multi-effect ferment organic matter by utilizing the initial training model.
7. The method for simultaneous optimization and monitoring of a multi-functional fermentation organic matter production process of claim 6, wherein obtaining an initial training model based on an SVM algorithm using the fermentation information database of the multi-functional fermentation organic matter comprises:
s3-1-1, obtaining fermentation information data affecting preparation of the multi-effect fermentation organic matter by utilizing a fermentation information database of the multi-effect fermentation organic matter;
s3-1-2, training based on SVM to obtain an initial training model by taking real-time data and historical data in the fermentation information database of the multi-effect fermentation organic matter as a training set and taking fermentation information data affecting preparation of the multi-effect fermentation organic matter as a verification set.
8. The method for simultaneous optimization monitoring of a multi-functional fermentation organic matter production process of claim 7, wherein obtaining a ferment function output model of the multi-functional fermentation organic matter using the initial training model comprises:
inputting an initial training model by using the verification set to obtain an initial output result;
and judging whether the initial output result corresponds to the subset corresponding to the verification set, if so, outputting an initial training model as a ferment function output model of the multi-effect ferment organic matter, otherwise, utilizing the subset corresponding to the non-corresponding verification set as an updated training set, and returning to S3-1-2.
9. The method for synchronously optimizing and monitoring the preparation process of the multi-functional fermented organic matter according to claim 8, wherein the step of obtaining the synchronously optimizing and monitoring the preparation process of the multi-functional fermented organic matter according to the functional output model of the fermented organic matter comprises the following steps:
s4-1, acquiring optimized fermentation condition information data of the multi-functional fermentation organic matters based on a genetic algorithm by utilizing a fermentation function output model of the multi-functional fermentation organic matters;
s4-2, obtaining synchronous optimization monitoring results of the preparation process of the multi-effect fermentation organic matter by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter.
10. The method for synchronously optimizing and monitoring the preparation process of the multi-effect fermentation organic matter according to claim 9, wherein the step of obtaining the synchronous optimizing and monitoring result of the preparation process of the multi-effect fermentation organic matter by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter comprises the following steps:
s4-1-1, outputting key fermentation condition information data influencing the preparation of the multi-functional fermentation organic matters by utilizing a fermentation product function output model of the multi-functional fermentation organic matters;
s4-1-2, screening the key fermentation condition information data based on a genetic algorithm to obtain optimized fermentation condition information data of the multi-effect fermentation organic matter;
the information data of the optimal fermentation conditions of the multi-effect fermentation organic matters comprise optimal fermentation temperature, fermentation humidity, fermentation time, optimal addition amount of strains, optimal combination of raw materials and optimal proportion;
s4-2-1, obtaining information of final products of the multi-effect fermentation organic matters by utilizing information data of optimized fermentation conditions of the multi-effect fermentation organic matters;
s4-2-1-1, fermenting according to the optimized fermentation conditions of the multi-effect fermentation organic matter to prepare a multi-effect fermentation organic matter end product;
s4-2-2, obtaining a multi-effect fermentation organic matter quality assessment result according to the information of the final product of the multi-effect fermentation organic matter;
s4-2-2-1, detecting components of a multi-effect fermentation organic matter end product to verify whether the multi-effect fermentation organic matter end product is a required multi-effect fermentation organic matter, if so, executing S4-2-2-2, otherwise, judging that the multi-effect fermentation organic matter quality evaluation result is poor;
s4-2-2-2, using quality and yield information of the fermented organic matters prepared before condition optimization as a standard, and performing qualitative and quantitative analysis and detection to obtain a multi-effect fermented organic matter quality assessment result;
s4-2-3, obtaining a production evaluation result by utilizing the optimized fermentation condition information data of the multi-effect fermentation organic matter;
s4-2-3-1, obtaining production information by utilizing optimized fermentation condition information data of the multi-effect fermentation organic matters;
s4-2-3-2, obtaining a production evaluation result by using production information before fermentation condition optimization as a standard;
the production information comprises production cost information, production efficiency information and production risk information;
s4-2-4, using the multi-effect fermentation organic matter quality evaluation result and the production evaluation result as synchronous optimization monitoring results of the multi-effect fermentation organic matter preparation process.
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