CN114358450B - Fermentation quality prediction system for mochi bread processing based on data processing - Google Patents
Fermentation quality prediction system for mochi bread processing based on data processing Download PDFInfo
- Publication number
- CN114358450B CN114358450B CN202210283252.4A CN202210283252A CN114358450B CN 114358450 B CN114358450 B CN 114358450B CN 202210283252 A CN202210283252 A CN 202210283252A CN 114358450 B CN114358450 B CN 114358450B
- Authority
- CN
- China
- Prior art keywords
- intermittent
- fermentation
- analysis
- time period
- equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention discloses a fermentation quality prediction system for mochi bread processing based on data processing, which relates to the technical field of fermentation quality prediction and solves the technical problem that the fermentation quality cannot be accurately predicted in the prior art; the intermittent analysis is carried out on the fermentation process of the current mochi bread, the working intensity of the current fermentation process is judged, the influence caused by different working intensities is different, and the accuracy of fermentation quality prediction can be improved through the judgment of the working intensity.
Description
Technical Field
The invention relates to the technical field of fermentation quality prediction, in particular to a fermentation quality prediction system for mochi bread processing based on data processing.
Background
Fermentation refers to the process by which a person produces the microbial cells themselves, or direct or secondary metabolites, by virtue of the life activities of the microorganism under aerobic or anaerobic conditions. Fermentation is sometimes also written as fermentation, the definition of which differs depending on the application. Generally, fermentation refers to a process of decomposing organic substances by organisms. Fermentation is a biochemical reaction that humans have come into contact with earlier and is now widely used in the food industry, biological and chemical industries. It is also a basic process of bioengineering, i.e. fermentation engineering. Research into its mechanism and process control continues.
However, in the prior art, the fermentation quality cannot be accurately predicted in the process of mochi bread processing and fermentation, and cannot be comprehensively analyzed through fermentation working strength analysis and the influence of corresponding equipment and environment, so that the accuracy of the fermentation quality prediction is reduced, and the fermentation quality of the mochi bread cannot be guaranteed.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a fermentation quality prediction system for mochi-bread processing based on data processing, which analyzes and predicts the fermentation quality of the mochi-bread in the processing process, analyzes the fermentation process, can accurately control the real-time processing state of the mochi-bread through the fermentation quality prediction, can timely cope with the risk in the processing process, improves the processing quality and the production efficiency of the mochi-bread, and reduces the risk of unqualified production of the mochi-bread caused by the fermentation quality; the intermittent analysis is carried out on the fermentation process of the current mochi bread, the working intensity of the current fermentation process is judged, the influence caused by different working intensities is different, and the accuracy of fermentation quality prediction can be improved through the judgment of the working intensity.
The purpose of the invention can be realized by the following technical scheme:
a fermentation quality prediction system for mochi bread processing based on data processing comprises a fermentation quality prediction terminal, wherein a server is arranged in the fermentation quality prediction terminal, and the server is in communication connection with an intermittent process analysis unit, an intermittent environment analysis unit, an intermittent equipment analysis unit and a quality prediction unit;
the fermentation quality prediction terminal is used for analyzing and predicting the fermentation quality of the mochi bread in the processing process, when the mochi bread is processed, the fermentation quality prediction terminal generates a prediction signal and sends the prediction signal to the server, the server generates an intermittent process analysis signal and sends the intermittent process analysis signal to the intermittent process analysis unit after receiving the prediction signal, and the intermittent process analysis unit performs intermittent analysis on the current fermentation process of the mochi bread after receiving the intermittent process analysis signal; the server generates an intermittent equipment analysis signal and sends the intermittent equipment analysis signal to an intermittent equipment analysis unit, and the intermittent equipment analysis unit analyzes the operation of equipment with intermittent duration in the fermentation process after receiving the intermittent equipment analysis signal; the server generates an intermittent environment analysis signal and sends the intermittent environment analysis signal to the intermittent environment analysis unit, and the intermittent environment analysis unit analyzes the environment of the fermentation process of the mochi bread in an intermittent time period in real time after receiving the intermittent environment analysis signal; the server generates a quality prediction signal and sends the quality prediction signal to the quality prediction unit, and the quality prediction unit predicts the fermentation quality of the mochi bread after receiving the quality prediction signal.
As a preferred embodiment of the present invention, the batch process analysis process of the batch process analysis unit is as follows:
collecting time periods corresponding to the fermentation process of the mochi bread, marking the time periods corresponding to the fermentation process as operation time periods, collecting the average intermittent duration and the continuous intermittent frequency of fermentation in the operation time periods, and marking the intermittent duration and the continuous intermittent frequency of fermentation in the operation time periods as SC and PL respectively; meanwhile, collecting the average material consumption after the fermentation is completed within the operation time period, and marking the average material consumption after the fermentation is completed within the operation time period as XH; in the prior art, the fermentation process is an intermittent process, namely, an intermittent time period for stopping reaction exists in the fermentation process, so that the working intensity and the probability of quality risk of the corresponding fermentation process can be judged through intermittent process analysis;
analyzing and obtaining a fermentation intermittent process analysis coefficient C of the mochi bread, and comparing the fermentation intermittent process analysis coefficient C of the mochi bread with a fermentation intermittent process analysis coefficient threshold value:
if the fermentation intermittent process analysis coefficient C of the mochi bread exceeds the fermentation intermittent process analysis coefficient threshold value, judging that the corresponding fermentation process is a high risk process, marking the processing of the corresponding mochi bread as the high risk process, and simultaneously generating a high risk signal and sending the high risk signal to a server; if the fermentation intermittent process analysis coefficient C of the mochi bread does not exceed the fermentation intermittent process analysis coefficient threshold, judging that the corresponding fermentation process is a low risk, marking the processing of the corresponding mochi bread as a low risk process, and simultaneously generating a low risk signal and sending the low risk signal to a server; the high risk signal and the low risk signal are sent together to the server.
As a preferred embodiment of the present invention, the batch device analyzing process of the batch device analyzing unit is as follows:
collecting the current intermittent time period in the fermentation process of the mochi bread, marking the intermittent time period as the intermittent time period, collecting the floating value of the ventilation rate of the processing equipment and the floating frequency of the stirring speed of the processing equipment in the intermittent time period, and respectively marking the floating value of the ventilation rate of the processing equipment and the floating frequency of the stirring speed of the processing equipment in the intermittent time period as TFL and JBV; collecting the variation of the oxygen content concentration corresponding to the processing equipment in the intermittent time period, and marking the variation of the oxygen content concentration corresponding to the processing equipment in the intermittent time period as YND;
obtaining an analysis coefficient B of intermittent equipment in an intermittent time period through analysis; comparing the intermittent device analysis coefficient B in the intermittent time period with an intermittent device analysis coefficient threshold value:
if the analysis coefficient B of the intermittent equipment in the intermittent time period exceeds the analysis coefficient threshold of the intermittent equipment, judging that the intermittent equipment in the intermittent time period has influence, generating an equipment risk signal and sending the equipment risk signal and the corresponding analysis coefficient of the intermittent equipment to the server; and if the analysis coefficient B of the intermittent equipment in the intermittent time period does not exceed the analysis coefficient threshold of the intermittent equipment, judging that the intermittent equipment in the intermittent time period has no influence, generating an equipment safety signal and sending the equipment safety signal and the corresponding analysis coefficient of the intermittent equipment to the server together.
As a preferred embodiment of the present invention, the intermittent environment analysis process of the intermittent environment analysis unit is as follows:
collecting a temperature rising process and a temperature falling process of the mochi bread in the processing process, and if the temperature rises in the temperature rising process and the ambient temperature rises in the processing process, marking the floating mark corresponding to the ambient temperature as favorable temperature floating; on the contrary, if the ambient temperature is increased in the temperature decreasing process or the ambient temperature is decreased in the temperature increasing process in the processing process, the corresponding ambient temperature floating mark is unfavorable temperature floating;
acquiring the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period and the ratio of the temperature floating value corresponding to the favorable temperature floating and the temperature floating value corresponding to the unfavorable temperature floating in the intermittent time period, and comparing the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period and the ratio of the temperature floating value corresponding to the favorable temperature floating and the temperature floating value corresponding to the unfavorable temperature floating in the intermittent time period with a time ratio threshold value and a floating value ratio threshold value respectively:
if the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period exceeds a time ratio threshold value, and the ratio of the temperature floating value corresponding to the favorable temperature floating to the temperature floating value corresponding to the unfavorable temperature floating in the intermittent time period exceeds a floating value ratio threshold value, judging that the environment in the intermittent time period is not influenced, generating an environment safety signal and sending the environment safety signal to a server; and if the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period does not exceed the time ratio threshold, or the ratio of the favorable temperature floating corresponding temperature floating value to the unfavorable temperature floating corresponding temperature floating value in the intermittent time period does not exceed the floating value ratio threshold, determining that the environment in the intermittent time period has influence, generating an environment risk signal and sending the environment risk signal to the server.
As a preferred embodiment of the present invention, the fermentation quality prediction process of the quality prediction unit is as follows:
acquiring an analysis coefficient of a fermentation intermittent process and an analysis coefficient of intermittent equipment in a server, and constructing a fermentation quality prediction model;
constructing a prediction coordinate system by taking the fermentation quality prediction coefficient as a Y axis and the processing time as an X axis, substituting data of each processing time point according to the operation of real-time processing, constructing points of the fermentation quality prediction coefficient of each processing time point in the prediction coordinate system through a prediction model, and connecting each corresponding point to form a real-time fermentation quality prediction curve; comparing fermentation quality prediction coefficients corresponding to the first point and the last point of the real-time fermentation prediction curve, and if the fermentation quality prediction coefficient corresponding to the first point exceeds the fermentation quality prediction coefficient corresponding to the last point, predicting that the corresponding processing process is qualified to run; if the fermentation quality prediction coefficient corresponding to the first point does not exceed the fermentation quality prediction coefficient corresponding to the last point, predicting that the corresponding processing process is unqualified;
comparing fermentation quality prediction coefficients of adjacent points in a real-time fermentation prediction curve, if the slope of the fermentation quality prediction coefficient curve of the adjacent points in the real-time fermentation prediction curve exceeds a curve slope threshold, acquiring and comparing the fermentation quality prediction coefficient curves of the corresponding adjacent points, if the fermentation quality prediction coefficient curves of the adjacent points are in direct proportion, acquiring a time period corresponding to the fermentation quality prediction coefficient curve of the corresponding adjacent points, marking the time period as an influence time period, and analyzing and rectifying the processing process of the corresponding influence time period; and if the fermentation quality prediction coefficient curves of the adjacent points are in inverse proportion, acquiring the time period corresponding to the fermentation quality prediction coefficient curve of the corresponding adjacent point, marking the time period as an optimized time period, and recording the corresponding operation in the processing process corresponding to the optimized time period.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the fermentation quality of the mochi bread in the processing process is analyzed and predicted, the fermentation process is analyzed, the real-time processing state of the mochi bread can be accurately controlled through the fermentation quality prediction, the risk of the processing process can be responded in time, the processing quality and the production efficiency of the mochi bread are improved, and the risk of unqualified production of the mochi bread caused by the fermentation quality is reduced; the fermentation process of the current mochi bread is subjected to intermittent analysis, the working intensity of the current fermentation process is judged, the influence caused by different working intensities is different, and the accuracy of fermentation quality prediction can be improved through the judgment of the working intensity;
2. in the method, the operation of the intermittent equipment in the fermentation process is analyzed, and the parameter change corresponding to the operation of the intermittent equipment is judged, so that the influence of the operation parameter change of the intermittent equipment on the fermentation quality is judged, and the accuracy of the prediction on the fermentation quality of the mochi bread is improved; the method has the advantages that the environment of the mochi bread in the fermentation process in the intermittent time period is analyzed in real time, the peripheral environment data in the intermittent time period are analyzed, and whether the fermentation quality is risky due to the change of the peripheral environment is judged, so that the fermentation quality of the mochi bread is monitored, the processing efficiency of the mochi bread can be effectively improved, and the influence of the change of the peripheral environment parameters on the fermentation quality in the intermittent time period is reduced; the fermentation quality of the mochi bread is predicted, data are collected according to analysis of intermittent time periods, and the fermentation quality is predicted according to the collected data, so that the qualification of the fermentation quality of the mochi bread is improved, and the working efficiency of mochi bread processing is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a fermentation quality prediction system for mochi bread processing based on data processing comprises a fermentation quality prediction terminal, wherein a server is arranged in the fermentation quality prediction terminal, and is in communication connection with an intermittent process analysis unit, an intermittent environment analysis unit, an intermittent equipment analysis unit and a quality prediction unit, wherein the server is in bidirectional communication connection with the intermittent process analysis unit, the intermittent environment analysis unit, the intermittent equipment analysis unit and the quality prediction unit;
the fermentation quality prediction terminal is used for analyzing and predicting the fermentation quality of the mochi bread in the processing process, analyzing the fermentation process, accurately controlling the real-time processing state of the mochi bread through the fermentation quality prediction, and timely coping with the risk of the processing process, so that the processing quality and the production efficiency of the mochi bread are improved, and the risk of unqualified production of the mochi bread caused by the fermentation quality is reduced;
the mochi bread is processed, the fermentation quality prediction terminal generates a prediction signal and sends the prediction signal to the server, after the server receives the prediction signal, an intermittent process analysis signal is generated and sent to the intermittent process analysis unit, after the intermittent process analysis unit receives the intermittent process analysis signal, the intermittent analysis is carried out on the fermentation process of the current mochi bread, the working strength of the current fermentation process is judged, the influence brought by different working strengths is different, the accuracy of fermentation quality prediction can be improved through the judgment of the working strength, and the specific intermittent process analysis process is as follows:
collecting time periods corresponding to the fermentation process of the mochi bread, marking the time periods corresponding to the fermentation process as operation time periods, collecting the average intermittent duration and the continuous intermittent frequency of fermentation in the operation time periods, and marking the intermittent duration and the continuous intermittent frequency of fermentation in the operation time periods as SC and PL respectively; meanwhile, collecting the running average material consumption after the fermentation is completed and intermittent in the running time period, and marking the running average material consumption as XH after the fermentation is completed and intermittent in the running time period; in the prior art, the fermentation process is an intermittent process, namely, an intermittent time period for stopping reaction exists in the fermentation process, so that the working strength and the probability of quality risk of the corresponding fermentation process can be judged through intermittent process analysis;
by the formula
Obtaining an analysis coefficient C of the fermentation batch process of the mochi bread, wherein a1, a2 and a3 are all preset proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and has a value of 1.04;
comparing the fermentation intermittent process analysis coefficient C of the mochi bread with a fermentation intermittent process analysis coefficient threshold value:
if the fermentation intermittent process analysis coefficient C of the mochi bread exceeds the fermentation intermittent process analysis coefficient threshold value, judging that the corresponding fermentation process is a high risk, marking the processing of the corresponding mochi bread as a high risk process, and simultaneously generating a high risk signal and sending the high risk signal to a server; if the fermentation intermittent process analysis coefficient C of the mochi bread does not exceed the fermentation intermittent process analysis coefficient threshold, judging that the corresponding fermentation process is a low risk, marking the processing of the corresponding mochi bread as a low risk process, and simultaneously generating a low risk signal and sending the low risk signal to a server;
sending the high-risk signal and the low-risk signal to a server together;
after receiving the high-risk signal, the server generates an intermittent equipment analysis signal and sends the intermittent equipment analysis signal to an intermittent equipment analysis unit, after receiving the intermittent equipment analysis signal, the intermittent equipment analysis unit analyzes the operation of the intermittent equipment in the fermentation process, and judges the corresponding parameter change of the operation of the intermittent equipment, so that the influence of the operation parameter change of the intermittent equipment on the fermentation quality is judged, the accuracy of the prediction on the fermentation quality of the mochi bread is improved, and the specific intermittent equipment analysis process is as follows:
collecting the current intermittent time period in the fermentation process of the mochi bread, marking the intermittent time period as the intermittent time period, collecting the floating value of the ventilation rate of the processing equipment and the floating frequency of the stirring speed of the processing equipment in the intermittent time period, and respectively marking the floating value of the ventilation rate of the processing equipment and the floating frequency of the stirring speed of the processing equipment in the intermittent time period as TFL and JBV; collecting the variation of the oxygen content corresponding to the processing equipment in the intermittent time period, and marking the variation of the oxygen content corresponding to the processing equipment in the intermittent time period as YND;
by the formula
Obtaining an analysis coefficient B of the batch equipment in a batch time period, wherein B1, B2 and B3 are all preset proportional coefficients, and B1 is more than B2 is more than B3 is more than 0; comparing the intermittent device analysis coefficient B in the intermittent time period with an intermittent device analysis coefficient threshold value:
if the analysis coefficient B of the intermittent equipment in the intermittent time period exceeds the analysis coefficient threshold of the intermittent equipment, judging that the intermittent equipment in the intermittent time period has influence, generating an equipment risk signal and sending the equipment risk signal and the corresponding analysis coefficient of the intermittent equipment to the server; if the intermittent equipment analysis coefficient B in the intermittent time period does not exceed the intermittent equipment analysis coefficient threshold value, judging that the intermittent equipment in the intermittent time period has no influence, generating an equipment safety signal and sending the equipment safety signal and the corresponding intermittent equipment analysis coefficient to the server together;
the server generates an intermittent environment analysis signal and sends the intermittent environment analysis signal to the intermittent environment analysis unit, the intermittent environment analysis unit analyzes the environment of the fermentation process of the mochi-shaped bread in an intermittent time period in real time after receiving the intermittent environment analysis signal, analyzes the peripheral environment data in the intermittent time period and judges whether the peripheral environment changes to risk the fermentation quality, so that the fermentation quality of the mochi-shaped bread is monitored, the processing efficiency of the mochi-shaped bread can be effectively improved, the quality of the fermentation influenced by the intermittent time period due to the change of the peripheral environment parameters is reduced, and the specific intermittent environment analysis process is as follows:
collecting a temperature rising process and a temperature falling process of the mochi bread in the processing process, and if the temperature rises in the temperature rising process and the ambient temperature rises in the processing process, marking the floating mark corresponding to the ambient temperature as favorable temperature floating; on the contrary, if the ambient temperature is decreased in the process of temperature decrease or increased in the process of temperature increase or decreased in the process of processing, the corresponding ambient temperature floating mark is unfavorable temperature floating;
acquiring the ratio of the number of times of favorable temperature floating to the number of times of unfavorable temperature floating in the intermittent time period and the ratio of the temperature floating value corresponding to the favorable temperature floating to the temperature floating value corresponding to the unfavorable temperature floating in the intermittent time period, and comparing the ratio of the number of times of favorable temperature floating to the number of times of unfavorable temperature floating in the intermittent time period and the ratio of the temperature floating value corresponding to the favorable temperature floating to the temperature floating value corresponding to the unfavorable temperature floating in the intermittent time period with a number ratio threshold and a floating value ratio threshold respectively:
if the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period exceeds a time ratio threshold value, and the ratio of the favorable temperature floating corresponding temperature floating value to the unfavorable temperature floating corresponding temperature floating value in the intermittent time period exceeds a floating value ratio threshold value, determining that the environment in the intermittent time period is not influenced, generating an environment safety signal and sending the environment safety signal to the server; if the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period does not exceed the time ratio threshold, or the ratio of the favorable temperature floating corresponding temperature floating value to the unfavorable temperature floating corresponding temperature floating value in the intermittent time period does not exceed the floating value ratio threshold, determining that the environment in the intermittent time period has influence, generating an environment risk signal and sending the environment risk signal to the server;
the server generates a quality prediction signal and sends the quality prediction signal to the quality prediction unit, the quality prediction unit predicts the fermentation quality of the mochi-bread after receiving the quality prediction signal, acquires data according to the analysis of the intermittent time period, and predicts the fermentation quality according to the acquired data, so that the qualification of the fermentation quality of the mochi-bread is improved, the working efficiency of mochi-bread processing is enhanced, and the specific fermentation quality prediction process is as follows:
acquiring an analysis coefficient C of the fermentation batch process in the server and an analysis coefficient B of batch equipment, and constructing a fermentation quality prediction model, wherein the specific prediction model is as follows:
wherein G is a fermentation quality prediction coefficient, e is a natural constant, and alpha is an environmental influence coefficient, when the environment in the corresponding intermittent time period has influence, the value of alpha is 1.6, and when the environment in the corresponding intermittent time period has no influence, the value of alpha is 0.7;
constructing a prediction coordinate system by taking the fermentation quality prediction coefficient as a Y axis and the processing time as an X axis, substituting data of each processing time point according to the operation of real-time processing, constructing points of the fermentation quality prediction coefficient of each processing time point in the prediction coordinate system through a prediction model, and connecting each corresponding point to form a real-time fermentation quality prediction curve; comparing fermentation quality prediction coefficients corresponding to the first point and the last point of the real-time fermentation prediction curve, and if the fermentation quality prediction coefficient corresponding to the first point exceeds the fermentation quality prediction coefficient corresponding to the last point, predicting that the corresponding processing process is qualified to run; if the fermentation quality prediction coefficient corresponding to the first point does not exceed the fermentation quality prediction coefficient corresponding to the last point, predicting that the corresponding processing process is unqualified;
comparing fermentation quality prediction coefficients of adjacent points in a real-time fermentation prediction curve, if the slope of the fermentation quality prediction coefficient curve of the adjacent points in the real-time fermentation prediction curve exceeds a curve slope threshold, acquiring and comparing the fermentation quality prediction coefficient curves of the corresponding adjacent points, if the fermentation quality prediction coefficient curves of the adjacent points are in direct proportion, acquiring a time period corresponding to the fermentation quality prediction coefficient curve of the corresponding adjacent points, marking the time period as an influence time period, and analyzing and rectifying the processing process of the corresponding influence time period; and if the fermentation quality prediction coefficient curves of the adjacent points are in inverse proportion, acquiring the time period corresponding to the fermentation quality prediction coefficient curve of the corresponding adjacent point, marking the time period as an optimized time period, and recording the corresponding operation in the processing process corresponding to the optimized time period.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the intelligent fermentation prediction system is used, the fermentation quality of the mochi bread in the processing process is analyzed and predicted through the fermentation quality prediction terminal, when the mochi bread is processed, the fermentation quality prediction terminal generates a prediction signal and sends the prediction signal to the server, the server generates an intermittent process analysis signal and sends the intermittent process analysis signal to the intermittent process analysis unit after receiving the prediction signal, and the intermittent process analysis unit performs intermittent analysis on the current fermentation process of the mochi bread after receiving the intermittent process analysis signal; the server generates an intermittent equipment analysis signal and sends the intermittent equipment analysis signal to an intermittent equipment analysis unit, and the intermittent equipment analysis unit analyzes the operation of equipment with intermittent duration in the fermentation process after receiving the intermittent equipment analysis signal; the server generates an intermittent environment analysis signal and sends the intermittent environment analysis signal to the intermittent environment analysis unit, and the intermittent environment analysis unit analyzes the environment of the fermentation process of the mochi bread in an intermittent time period in real time after receiving the intermittent environment analysis signal; the server generates a quality prediction signal and sends the quality prediction signal to the quality prediction unit, and the quality prediction unit predicts the fermentation quality of the mochi bread after receiving the quality prediction signal.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (2)
1. A fermentation quality prediction system for mochi bread processing based on data processing is characterized by comprising a fermentation quality prediction terminal, wherein a server is arranged in the fermentation quality prediction terminal, and the server is in communication connection with an intermittent process analysis unit, an intermittent environment analysis unit, an intermittent equipment analysis unit and a quality prediction unit;
the fermentation quality prediction terminal is used for analyzing and predicting the fermentation quality of the mochi bread in the processing process, when the mochi bread is processed, the fermentation quality prediction terminal generates a prediction signal and sends the prediction signal to the server, the server generates an intermittent process analysis signal and sends the intermittent process analysis signal to the intermittent process analysis unit after receiving the prediction signal, and the intermittent process analysis unit performs intermittent analysis on the current fermentation process of the mochi bread after receiving the intermittent process analysis signal; the server generates an intermittent equipment analysis signal and sends the intermittent equipment analysis signal to an intermittent equipment analysis unit, and the intermittent equipment analysis unit analyzes the operation of equipment with intermittent duration in the fermentation process after receiving the intermittent equipment analysis signal; the server generates an intermittent environment analysis signal and sends the intermittent environment analysis signal to the intermittent environment analysis unit, and the intermittent environment analysis unit analyzes the environment of the fermentation process of the mochi bread in an intermittent time period in real time after receiving the intermittent environment analysis signal; the server generates a quality prediction signal and sends the quality prediction signal to a quality prediction unit, and the quality prediction unit predicts the fermentation quality of the mochi bread after receiving the quality prediction signal;
the batch process analysis process of the batch process analysis unit is as follows:
collecting time periods corresponding to the fermentation process of the mochi bread, marking the time periods corresponding to the fermentation process as operation time periods, collecting the average intermittent duration and the continuous intermittent frequency of fermentation in the operation time periods, and marking the intermittent duration and the continuous intermittent frequency of fermentation in the operation time periods as SC and PL respectively; meanwhile, collecting the running average material consumption after the fermentation is completed and intermittent in the running time period, and marking the running average material consumption as XH after the fermentation is completed and intermittent in the running time period; the fermentation process is an intermittent process, namely an intermittent time period for stopping reaction exists in the fermentation process, and the working intensity and the probability of quality risk of the corresponding fermentation process can be judged through intermittent process analysis;
by the formula
Obtaining an analysis coefficient C of the fermentation batch process of the mochi bread, wherein a1, a2 and a3 are all preset proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and has a value of 1.04; comparing the fermentation intermittent process analysis coefficient C of the mochi bread with a fermentation intermittent process analysis coefficient threshold value:
if the fermentation intermittent process analysis coefficient C of the mochi bread exceeds the fermentation intermittent process analysis coefficient threshold value, judging that the corresponding fermentation process is a high risk, marking the processing of the corresponding mochi bread as a high risk process, and simultaneously generating a high risk signal and sending the high risk signal to a server; if the fermentation intermittent process analysis coefficient C of the mochi bread does not exceed the fermentation intermittent process analysis coefficient threshold, judging that the corresponding fermentation process is a low risk, marking the processing of the corresponding mochi bread as a low risk process, and simultaneously generating a low risk signal and sending the low risk signal to a server; sending the high-risk signal and the low-risk signal to a server together;
the batch device analysis process of the batch device analysis unit is as follows:
collecting the current intermittent time periods in the fermentation process of the mochi bread, marking the intermittent time periods as intermittent time periods, collecting the floating value of the ventilation rate of processing equipment and the floating frequency of the stirring speed of the processing equipment in the intermittent time periods, and marking the floating value of the ventilation rate of the processing equipment and the floating frequency of the stirring speed of the processing equipment in the intermittent time periods as TFL and JBV respectively; collecting the variation of the oxygen content concentration corresponding to the processing equipment in the intermittent time period, and marking the variation of the oxygen content concentration corresponding to the processing equipment in the intermittent time period as YND;
by formula B ═ TFL × B1+ JBV × B2+ YND × B3) b1+b2+b3 Obtaining an analysis coefficient B of the batch equipment in a batch time period, wherein B1, B2 and B3 are all preset proportionality coefficients, and B1 is greater than B2 is greater than B3 is greater than 0; comparing the intermittent device analysis coefficient B in the intermittent time period with an intermittent device analysis coefficient threshold value:
if the analysis coefficient B of the intermittent equipment in the intermittent time period exceeds the analysis coefficient threshold of the intermittent equipment, judging that the intermittent equipment in the intermittent time period has influence, generating an equipment risk signal and sending the equipment risk signal and the corresponding analysis coefficient of the intermittent equipment to the server; if the analysis coefficient B of the intermittent equipment in the intermittent time period does not exceed the analysis coefficient threshold of the intermittent equipment, judging that the intermittent equipment in the intermittent time period has no influence, generating an equipment safety signal and sending the equipment safety signal and the corresponding analysis coefficient of the intermittent equipment to the server;
the fermentation quality prediction process of the quality prediction unit is as follows:
acquiring an analysis coefficient C of the fermentation batch process in the server and an analysis coefficient B of batch equipment, and constructing a fermentation quality prediction model; the concrete prediction model is as follows:
wherein G is fermentation quality predictionThe coefficient, e is a natural constant, alpha is an environmental influence coefficient, when the environment in the corresponding intermittent time period has influence, the value of alpha is 1.6, and when the environment in the corresponding intermittent time period has no influence, the value of alpha is 0.7;
constructing a prediction coordinate system by taking the fermentation quality prediction coefficient as a Y axis and the processing time as an X axis, substituting data of each processing time point according to the operation of real-time processing, constructing points of the fermentation quality prediction coefficient of each processing time point in the prediction coordinate system through a prediction model, and connecting each corresponding point to form a real-time fermentation quality prediction curve; comparing fermentation quality prediction coefficients corresponding to the first point and the last point of the real-time fermentation prediction curve, and if the fermentation quality prediction coefficient corresponding to the first point exceeds the fermentation quality prediction coefficient corresponding to the last point, predicting that the corresponding processing process is qualified to run; if the fermentation quality prediction coefficient corresponding to the end point does not exceed the fermentation quality prediction coefficient corresponding to the end point, predicting that the corresponding processing process is unqualified;
comparing the fermentation quality prediction coefficients of adjacent points in the real-time fermentation prediction curve, if the slope of the fermentation quality prediction coefficient curve of the adjacent points in the real-time fermentation prediction curve exceeds a curve slope threshold, acquiring and comparing the fermentation quality prediction coefficient curves of the corresponding adjacent points, if the fermentation quality prediction coefficient curves of the adjacent points are in direct proportion, acquiring the time periods corresponding to the fermentation quality prediction coefficient curves of the corresponding adjacent points, marking the time periods as influence time periods, and analyzing and completing the processing process of the corresponding influence time periods; and if the fermentation quality prediction coefficient curves of the adjacent points are in inverse proportion, acquiring the time period corresponding to the fermentation quality prediction coefficient curve of the corresponding adjacent point, marking the time period as an optimized time period, and recording the corresponding operation in the processing process corresponding to the optimized time period.
2. The system for predicting fermentation quality in mochi-bread processing based on data processing according to claim 1, wherein the intermittent environment analysis process of the intermittent environment analysis unit is as follows:
collecting a temperature rising process and a temperature falling process of the mochi bread in the processing process, and if the temperature rising process and the environmental temperature rising process in the processing process, marking the corresponding environmental temperature floating as favorable temperature floating; on the contrary, if the ambient temperature is decreased in the process of temperature decrease or increased in the process of temperature increase or decreased in the process of processing, the corresponding ambient temperature floating mark is unfavorable temperature floating;
acquiring the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period and the ratio of the temperature floating value corresponding to the favorable temperature floating and the temperature floating value corresponding to the unfavorable temperature floating in the intermittent time period, and comparing the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period and the ratio of the temperature floating value corresponding to the favorable temperature floating and the temperature floating value corresponding to the unfavorable temperature floating in the intermittent time period with a time ratio threshold value and a floating value ratio threshold value respectively:
if the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period exceeds a time ratio threshold value, and the ratio of the favorable temperature floating corresponding temperature floating value to the unfavorable temperature floating corresponding temperature floating value in the intermittent time period exceeds a floating value ratio threshold value, determining that the environment in the intermittent time period is not influenced, generating an environment safety signal and sending the environment safety signal to the server; and if the ratio of the favorable temperature floating times to the unfavorable temperature floating times in the intermittent time period does not exceed the time ratio threshold, or the ratio of the favorable temperature floating corresponding temperature floating value to the unfavorable temperature floating corresponding temperature floating value in the intermittent time period does not exceed the floating value ratio threshold, determining that the environment in the intermittent time period has influence, generating an environment risk signal and sending the environment risk signal to the server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210283252.4A CN114358450B (en) | 2022-03-22 | 2022-03-22 | Fermentation quality prediction system for mochi bread processing based on data processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210283252.4A CN114358450B (en) | 2022-03-22 | 2022-03-22 | Fermentation quality prediction system for mochi bread processing based on data processing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114358450A CN114358450A (en) | 2022-04-15 |
| CN114358450B true CN114358450B (en) | 2022-08-23 |
Family
ID=81094380
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210283252.4A Active CN114358450B (en) | 2022-03-22 | 2022-03-22 | Fermentation quality prediction system for mochi bread processing based on data processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114358450B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115372551B (en) * | 2022-07-20 | 2023-09-19 | 达州市农业科学研究院 | System for monitoring quality of gastrodia elata armillaria mellea strains |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103810396A (en) * | 2014-03-03 | 2014-05-21 | 北京工业大学 | Fermentation process quality prediction method based on dicaryon multiway partial least squares of characteristic space |
| CN105652845A (en) * | 2016-03-26 | 2016-06-08 | 北京工业大学 | Fermentation process fault monitoring method based on just-in-time learning local model |
| CN113869630A (en) * | 2021-08-20 | 2021-12-31 | 力源智信(苏州)科技有限公司 | Coal quality detection information management system based on big data |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3763828A1 (en) * | 2019-07-08 | 2021-01-13 | Nemri, Adnane | Method for monitoring fermentation processes, apparatus, and system therefore |
| CN110866643B (en) * | 2019-11-15 | 2023-06-06 | 北京工业大学 | Fermentation process quality variable prediction method based on maximum secondary mutual information criterion regression |
| CN112348253B (en) * | 2020-11-06 | 2023-04-07 | 中国石油大学(华东) | Solid state fermentation utility prediction method based on full-connection neural network |
-
2022
- 2022-03-22 CN CN202210283252.4A patent/CN114358450B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103810396A (en) * | 2014-03-03 | 2014-05-21 | 北京工业大学 | Fermentation process quality prediction method based on dicaryon multiway partial least squares of characteristic space |
| CN105652845A (en) * | 2016-03-26 | 2016-06-08 | 北京工业大学 | Fermentation process fault monitoring method based on just-in-time learning local model |
| CN113869630A (en) * | 2021-08-20 | 2021-12-31 | 力源智信(苏州)科技有限公司 | Coal quality detection information management system based on big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114358450A (en) | 2022-04-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20090048816A1 (en) | Method for on-line prediction of future performance of a fermentation unit | |
| CN114358450B (en) | Fermentation quality prediction system for mochi bread processing based on data processing | |
| CN115456479B (en) | Intelligent agricultural greenhouse environment monitoring system based on Internet of things | |
| CN113450880A (en) | Desulfurization system inlet SO2Intelligent concentration prediction method | |
| CN116542538A (en) | Industrial equipment energy consumption monitoring method and device, electronic equipment and storage medium | |
| CN116991130A (en) | Intelligent automatic control system and method for petrochemical production | |
| CN107832582B (en) | Method for monitoring biological processes | |
| CN116589078B (en) | Intelligent sewage treatment control method and system based on data fusion | |
| Chang et al. | Multimode process mode identification with coexistence of quantitative information and qualitative information | |
| CN116119877A (en) | Sewage automatic treatment method and system based on Internet of things technology | |
| CN116523174A (en) | Sewage treatment plant working condition assessment method and system based on self-organizing neural network | |
| CN113468813B (en) | Desulfurization system inlet SO2Concentration prediction method and device and electronic equipment | |
| CN115375185A (en) | Big data-based glass generation processing environment supervision system | |
| CN114444391A (en) | Oxidation fan operation optimization algorithm based on particle swarm optimization | |
| CN115167313B (en) | Organic waste cooperative recycling treatment system based on 5G intelligent factory | |
| CN117303614B (en) | Water treatment control system of accurate aeration | |
| Chen et al. | Application of expert system to the operation and control of industrial antibiotic fermentation process | |
| Komarysta et al. | OPTIMIZING BIOGAS PRODUCTION USING ARTIFICIAL NEURAL NETWORK. | |
| CN117164099B (en) | Intelligent sewage treatment progress management system for sewage plant based on digital analysis | |
| CN113545296B (en) | Closed livestock shed is with excrement and automatic clear excrement system of scraping in underground | |
| CN117935956A (en) | Domestic sewage bio-based carbon denitrification treatment system | |
| CN116734918B (en) | Indoor environment monitoring system suitable for near zero energy consumption building | |
| CN117192269B (en) | Big data monitoring and early warning system and method for electric room environment control box | |
| CN118016197A (en) | Aluminum electrolysis cell health state evaluation method, system, electronic equipment and readable storage medium | |
| CN116466658A (en) | Management method, system and computer readable storage medium for intermittent process of coal chemical industry |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |