Microbial fermentation process fault monitoring method and system for food production

Abstract

The invention relates to the technical field of food production, and particularly discloses a method and a system for monitoring faults in a microbial fermentation process of food production. Dissolved oxygen in different areas is acquired by using an optical fiber dissolved oxygen sensor, calculation is performed through a variable coefficient and an Euclidean distance model, the yeast growth uniformity is evaluated, and whether the growth is stable and uniform is judged. When the yeast growth is uneven, screening growth limited and normal regions according to the dissolved oxygen, analyzing the influence of the oxygen introduction amount on the yeast growth through a Pearson's distance model, if the oxygen introduction amount causes the yeast growth limitation, constructing a region two-dimensional space model, grouping according to the coordinates of the central points of the growth limited regions, and respectively calculating the oxygen introduction adjustment amount; the problems of how to accurately evaluate the yeast growth uniformity, determine growth limitation reasons, adjust oxygen introduction in a targeted manner and the like are solved, so that fermentation abnormity can be found in time, the root of the problem can be accurately positioned, oxygen introduction is effectively adjusted to optimize the yeast growth environment, and the fermentation efficiency and the product quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of food production, and in particular to a method and system for monitoring faults in a microbial fermentation process of food production. Background Art

[0002] In the microbial fermentation process of food production, such as bread fermentation, wine fermentation and soy sauce fermentation, the aerobic fermentation stage plays a key role in the growth of yeast and the formation of metabolites. However, in the actual fermentation process, different fermentation areas may have problems such as uneven dissolved oxygen and inconsistent oxygen flow, which in turn limits yeast growth and affects fermentation efficiency and product quality.

[0003] Existing monitoring methods are often unable to accurately evaluate the growth status of yeast, determine the cause of growth restriction and make effective adjustments. Therefore, the present application uses a fiber optic dissolved oxygen sensor to collect dissolved oxygen in different areas, calculates the coefficient of variation and the Euclidean distance model, evaluates the uniformity of yeast growth, and determines whether the growth is stable and uniform. When the yeast grows unevenly, the growth restricted and normal areas are screened according to the dissolved oxygen content, and the effect of oxygen flow on yeast growth is analyzed by the Pearson distance model. If the oxygen flow causes yeast growth restriction, a two-dimensional spatial model of the region is constructed, and the growth restricted areas are grouped according to the coordinates of the center points of the growth restricted areas, and the oxygen flow adjustment amount is calculated separately. This solves the problems of how to accurately evaluate the uniformity of yeast growth, determine the cause of growth restriction and make targeted adjustments to oxygen flow, so that fermentation abnormalities can be discovered in a timely manner, the root cause of the problem can be accurately located, and the oxygen flow can be effectively adjusted to optimize the yeast growth environment and improve the fermentation efficiency and product quality. Summary of the invention

[0004] The object of the present invention is to provide a method and system for monitoring faults in a microbial fermentation process of food production, so as to solve the above-mentioned problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions: In a first aspect, a method for monitoring a microbial fermentation process failure in food production comprises the following steps: During the aerobic fermentation cycle, the dissolved oxygen content of the fermentation area was monitored during the divided monitoring period, and the coefficient of variation model and Euclidean distance model were used for comprehensive analysis to evaluate the uniformity of yeast growth; If the yeast grows unevenly, the growth-restricted area and the normal growth area are screened out according to the dissolved oxygen content in the fermentation area, and the oxygen permeability of the growth-restricted area and the normal growth area are obtained respectively, and input into the Pearson distance model to determine whether the oxygen permeability affects the yeast growth; If it affects yeast growth, a two-dimensional spatial model of the region is constructed. According to the coordinate positions of the center points of different growth-restricted regions, it is determined whether the growth-restricted regions can be adjusted centrally. If so, the centralized oxygen adjustment amount is obtained. If not, the single oxygen adjustment amount is obtained.

[0006] As a further solution of the present invention: evaluating the uniformity of yeast growth, the execution process is as follows: According to the time series of the monitoring period, the dissolved oxygen content in the fermentation area is sorted and integrated to obtain the regional dissolution sequence, which is successively input into the coefficient of variation model and the Euclidean distance model to output a uniform judgment value; If the uniformity determination value is greater than the uniformity determination threshold, an uneven growth signal is generated.

[0007] As a further solution of the present invention: the screening process of growth-restricted areas and normal growth areas is as follows: The dissolved oxygen content in the fermentation area in different monitoring periods is averaged and calculated, and the average dissolved oxygen value of the period is output; If the average dissolved oxygen value in the time period is greater than or equal to the preset dissolved oxygen value, it is recorded as a normal growth area; If the average dissolved oxygen value in a time period is less than or equal to the preset dissolved oxygen value, it will be recorded as a growth-restricted area.

[0008] As a further solution of the present invention: obtaining oxygen flux sequences of growth-restricted and normal growth areas, inputting them into the Pearson distance model, and executing the process as follows: The oxygen permeability of the growth-restricted area and the normal growth area in different monitoring periods is obtained respectively, and they are sorted according to the order of the monitoring periods to obtain a restricted oxygen permeability sequence and a normal oxygen permeability sequence; Based on the same monitoring period, oxygen flow rates were selected from the restricted oxygen flow sequence and the normal oxygen flow sequence, respectively, and input into the Pearson distance model to obtain the regional deviation value as output.

[0009] As a further solution of the present invention, whether the oxygen supply affects the yeast growth is determined by the following process: If the regional deviation value is greater than the regional deviation threshold, an oxygenation influence signal is generated.

[0010] As a further solution of the present invention: according to the coordinate positions of the center points of different growth-restricted regions, adjacent distance groups and separated distance groups are obtained, and the execution process is as follows: In the regional two-dimensional spatial model, the coordinates of the center points in two growth-restricted regions are arbitrarily combined to obtain multiple distance analysis groups, which are respectively input into the coordinate distance calculation model to obtain the restricted region spacing; If the restricted area spacing is greater than the preset restricted spacing, it is a distance-separated group; If the restricted area spacing is less than or equal to the preset restricted spacing, it is an adjacent distance group.

[0011] As a further solution of the present invention: the following operations are performed for the adjacent distance groups: The oxygen permeability of the growth-restricted areas in the adjacent distance groups during the same monitoring period is obtained respectively, and all are input into the Euclidean distance calculation model, and the adjacent oxygen permeability deviation value is output; If the adjacent oxygen flow deviation value is greater than the preset adjacent oxygen flow deviation value, a single adjustment signal is provided; If the adjacent oxygen flow deviation value is less than or equal to the preset adjacent oxygen flow deviation value, the signal is adjusted centrally.

[0012] As a further solution of the present invention: for adjacent distance groups, the oxygen flow adjustment amount is obtained, and the execution process is as follows: If a single adjustment signal is generated, the minimum oxygen flow and the maximum oxygen flow of the growth-restricted area in the adjacent distance group are averaged and calculated, and then the difference is made with the preset oxygen flow, and the absolute value is taken to obtain the centralized oxygen flow adjustment amount; If a centralized adjustment signal is generated, the oxygen flow rates of all growth-restricted areas in adjacent distance groups are averaged and then subtracted from the preset oxygen flow rates to obtain the absolute value to obtain the centralized oxygen flow adjustment amount.

[0013] As a further solution of the present invention, the following operations are performed for the distance-separated groups: In the distance-separated groups, the oxygen throughput of the growth-restricted area in different monitoring periods is obtained respectively, and after averaging calculation, it is subtracted from the preset oxygen throughput, and the absolute value is taken to obtain a single oxygen throughput adjustment amount.

[0014] In a second aspect, a microbial fermentation process fault monitoring system for food production includes the following modules: Uniform growth evaluation module: During the aerobic fermentation cycle, the dissolved oxygen content in the fermentation area is monitored during the divided monitoring period, and a comprehensive analysis is performed using the coefficient of variation model and the Euclidean distance model to evaluate the uniformity of yeast growth; Restricted growth analysis module: If the yeast grows unevenly, the growth restricted area and the normal growth area are screened out according to the dissolved oxygen content in the fermentation area, and the oxygen permeability of the growth restricted area and the normal growth area is obtained respectively, and input into the Pearson distance model to determine whether the oxygen permeability affects yeast growth; Oxygen restriction adjustment module: If it affects yeast growth, a two-dimensional spatial model of the region is constructed. According to the coordinate position of the center point of different growth restricted regions, it is determined whether the growth restricted region can be adjusted centrally. If so, the centralized oxygen adjustment amount is obtained. If not, a single oxygen adjustment amount is obtained.

[0015] Beneficial effects of the present invention: (1) The present invention uses an optical fiber dissolved oxygen sensor to monitor the dissolved oxygen content in different areas during the aerobic fermentation cycle, divides the fermentation cycle into equally spaced monitoring periods, integrates the dissolved oxygen content in different areas in each period to obtain a regional dissolution sequence, calculates the period coefficient through a coefficient of variation model, quantifies the degree of dispersion of the dissolved oxygen content in each period to reflect the yeast growth situation, and then uses a Euclidean distance calculation model to obtain a uniform judgment value to reflect the difference in yeast growth uniformity in adjacent periods, thereby solving the problem of how to evaluate whether the yeast growth in different fermentation areas in a fermenter is uniform; (2) The present invention screens out growth-restricted and normal areas according to dissolved oxygen levels in different monitoring periods of the fermentation area, obtains and integrates the oxygen flux sequences of the two areas, inputs the oxygen flux in the same monitoring period into the Pearson distance model, and obtains the regional deviation value by calculating the covariance and standard deviation, thereby obtaining the difference in oxygen flux between the growth-restricted area and the normal growth area in the same monitoring period through the regional deviation value, thereby indirectly reflecting that the growth restriction of yeast in the growth-restricted area is caused by the oxygen flux, further determining the cause of the growth-restricted area, and providing data support for the subsequent adjustment and optimization of the growth-restricted area; (3) Based on the oxygen influencing signal, the present invention constructs a two-dimensional spatial model of the region with different fermentation areas in the fermenter, obtains the coordinates of the center points of the growth-restricted regions and combines them into a distance analysis group, and obtains the distance between the restricted regions through the coordinate distance calculation model, and divides them into adjacent distance groups and spaced distance groups accordingly. For the adjacent distance groups, the Euclidean distance calculation model is used to quantify the difference in oxygen flux in different time periods to obtain the adjacent oxygen flux deviation value, and then the restricted area adjustment sub-value is obtained by calculating the average of the minimum and maximum oxygen fluxes in the group, and then the oxygen flux adjustment amount is calculated; for the spaced distance group, the oxygen flux in different time periods of each growth-restricted region in the group is directly averaged to calculate the oxygen flux adjustment amount, and the oxygen flux adjustment amount is used to accurately adjust the oxygen flux flow rate of the growth-restricted region, so as to solve the problem of yeast growth restriction caused by uneven oxygen flux in the aerobic fermentation stage, improve the adjustment efficiency of the yeast growth restriction problem, improve the adverse fermentation conditions caused by uneven oxygen flux, and optimize the yeast growth environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 It is a flow chart of the steps of a method for monitoring a fault in a microbial fermentation process of food production according to the present invention; Figure 2 It is a schematic diagram of a fault monitoring system for a microbial fermentation process of food production according to the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Example 1 See also Figure 1 As shown, the present invention is a method for monitoring faults in a microbial fermentation process of food production. The microbial fermentation of food production includes bread fermentation, wine fermentation, soy sauce fermentation, etc. The microbial fermentation process of food production also includes an aerobic fermentation stage and an anaerobic fermentation stage. However, in the entire process of wine fermentation, the early aerobic fermentation stage is crucial for the growth of yeast and the formation of metabolites. Therefore, a comparative analysis is now performed on the dissolved oxygen content of different fermentation areas in the aerobic fermentation stage to monitor whether the growth of yeast in the aerobic fermentation stage is restricted, and to ensure that the yeast in different fermentation areas can grow normally, including the following steps: Step 1: During the aerobic fermentation cycle, the dissolved oxygen content in different fermentation areas in the fermenter is monitored by a fiber optic dissolved oxygen sensor to evaluate whether the yeast growth in different fermentation areas in the fermenter is uniform; In a preferred embodiment, the aerobic fermentation cycle is divided into a number of monitoring periods with equal time intervals; The dissolved oxygen content of different fermentation areas during the monitoring period is obtained in real time through the optical fiber dissolved oxygen sensor, and the dissolved oxygen content of different fermentation areas is sorted and integrated according to the time series to obtain the regional dissolution sequence; It should be noted that the fiber optic dissolved oxygen sensor is arranged in different areas of the fermentation tank. The optical fiber can transmit the optical signal to the sensor probe to measure the dissolved oxygen in each area. The fluorescence quenching principle is used to make the fluorescent substance in the sensor emit fluorescence under the action of the excitation light. After the oxygen molecules interact with the fluorescent substance, the fluorescence intensity is reduced. The dissolved oxygen content is obtained by measuring the change in fluorescence intensity. Randomly select the regional dissolution sequence corresponding to the monitoring period and input it into the coefficient of variation model. The process is as follows: A1, average the dissolved oxygen content in all fermentation areas in the regional dissolution sequence, and output the regional dissolved oxygen mean ; A2, calculate the standard deviation of dissolved oxygen in all fermentation areas in the regional dissolution sequence, and output the regional dissolved oxygen standard deviation value ; A3, the regional dissolved oxygen mean The standard deviation of regional dissolved oxygen Input into the coefficient of variation model (Formula 1), and the output is the period coefficient; Formula 1: ; It can be understood that the purpose of the coefficient of variation model is that the mean values ​​of dissolved oxygen in different fermentation areas may be different, and simply comparing the standard deviation cannot accurately determine the degree of dispersion of dissolved oxygen in each area. The coefficient of variation can better compare the fluctuations of dissolved oxygen in different areas by standardizing the standard deviation relative to the mean, and to a certain extent reflects the yeast growth between different fermentation areas during the monitoring period; The time period coefficients corresponding to adjacent monitoring periods in the aerobic fermentation cycle are input into the Euclidean distance calculation model (Formula 2), and the output is the uniform judgment value , the process is as follows: Formula 2: ; in, It is expressed as the total number of monitoring periods in the aerobic fermentation cycle minus one. , They are respectively expressed as the time period coefficients corresponding to adjacent monitoring time periods; It can be understood that the purpose of the Euclidean distance calculation model is: the period coefficient is obtained through the coefficient of variation model, which reflects the relative discreteness of the dissolved oxygen content in different fermentation areas in each monitoring period, and indirectly reflects the uniformity of yeast growth in the period. The period coefficients of adjacent monitoring periods are input into the Euclidean distance calculation model, which reflects the difference in the uniformity of yeast growth in two adjacent periods; Specifically, the uniformity judgment value means: it is calculated by quantifying the period coefficient, reflecting the stability of the period coefficient change in the time dimension by analyzing the period coefficient change of different monitoring periods, and reflecting the stability of the uniformity of yeast growth. Specifically, the smaller the value, the more stable the change of yeast growth uniformity between adjacent periods, that is, the yeast growth is relatively stable and uniform; the larger the value, the less stable the change of yeast growth uniformity between adjacent periods, and there may be some factors affecting the uniformity of yeast growth in different areas; The average judgment value is compared with the average judgment threshold, and the process is as follows: If the uniformity determination value is less than or equal to the uniformity determination threshold, it means that the yeast growth is relatively stable and uniform, and a growth uniformity signal is generated; If the uniformity judgment value is greater than the uniformity judgment threshold, it means that the change of yeast growth uniformity between adjacent time periods is relatively unstable, which is a signal of uneven growth; It should be noted that the uniformity determination threshold is set by those skilled in the art; Summary of the scheme of this embodiment: During the aerobic fermentation cycle, the fiber optic dissolved oxygen sensor is used to monitor the dissolved oxygen content in different areas, and the fermentation cycle is divided into equally spaced monitoring periods. The dissolved oxygen content in different areas of each period is integrated to obtain a regional dissolution sequence. The period coefficient is calculated through a coefficient of variation model, and the degree of dispersion of the dissolved oxygen content in each period is quantified to reflect the yeast growth. The Euclidean distance calculation model is then used to obtain a uniform judgment value, which reflects the difference in yeast growth uniformity in adjacent periods, thereby solving the problem of how to evaluate whether the yeast growth in different fermentation areas in a fermenter is uniform.

[0020] Example 2 See also Figure 1 As shown, the present invention is a method for monitoring faults in a microbial fermentation process of food production. The restricted cause of the yeast growth restricted area selected in Example 1 is investigated. For example, the restricted cause is uneven oxygen flow between different fermentation areas, which will cause changes in the yeast metabolic pathway. In addition to producing alcohol, some by-products may also accumulate, such as acetaldehyde, acetic acid, glycerol, etc. The accumulation of these by-products may be toxic to yeast cells and inhibit the growth and metabolism of yeast. Therefore, taking oxygen flow as an example, it is analyzed whether the oxygen flow affects the restricted growth of yeast in the yeast growth restricted area. Therefore, the following steps need to be performed: Step 2: If it is uneven, the growth-restricted area is screened out according to the dissolved oxygen content of different fermentation areas in different monitoring periods, and the oxygen permeability between the growth-restricted area and the normal growth area is compared and analyzed to determine whether the oxygen permeability causes the growth restriction of yeast in the growth-restricted area. If so, an oxygen permeability influence signal is generated; In a preferred embodiment, a fermentation area is arbitrarily selected; Extract the dissolved oxygen content in the fermentation area during different monitoring periods, perform average calculation, and output the average dissolved oxygen value during the period; If the average dissolved oxygen value in the time period is greater than or equal to the preset dissolved oxygen value, the yeast growth in the fermentation area is normal during the different monitoring periods, which is the normal growth area; If the average dissolved oxygen value in the time period is less than or equal to the preset dissolved oxygen value, the yeast growth in the fermentation area is restricted during the different monitoring periods, which is the growth-restricted area; Obtain the oxygen permeability of the growth-restricted area during different monitoring periods, sort them according to the time series, and integrate them into a restricted oxygen permeability sequence accordingly; Obtain the oxygen permeability of the normal growth area during different monitoring periods, sort them according to the time series, and integrate them into a normal oxygen permeability sequence accordingly; Arbitrarily select a growth-restricted region and a normal growth region; The oxygen flow corresponding to the same monitoring period in the restricted oxygen flow sequence and the normal oxygen flow sequence is input into the Pearson distance model, and the regional deviation value is output. ; It should be noted that the meaning of the regional deviation value is: reflecting the difference in oxygen permeability between the growth-restricted area and the normal growth area during the same monitoring period, thereby indirectly reflecting that the growth restriction of yeast in the growth-restricted area is caused by oxygen permeability, further determining the cause of the growth-restricted area, and providing data support for the subsequent adjustment and optimization of the growth-restricted area; Specifically, the total number of oxygen-permeable elements in the restricted oxygen-permeable sequence is the same as that in the normal oxygen-permeable sequence; Input into the Pearson distance model, the execution steps are as follows: B1, the covariance of the restricted oxygen flow sequence and the normal oxygen flow sequence is obtained by the covariance calculation formula (Formula 3) ; Formula 3: ; Where m represents the total number of restricted oxygen perfusion sequences or normal oxygen perfusion sequences, Represented as the first The oxygen flow rate corresponding to each monitoring period is It is expressed as the mean dissolved oxygen value in the period corresponding to the growth restricted area, Indicated as the first The oxygen flow rate corresponding to each monitoring period is It is expressed as the mean dissolved oxygen value in the period corresponding to the normal growth area; B2, the standard deviation of the restricted oxygen perfusion sequence and the normal oxygen perfusion sequence is obtained by the standard deviation calculation formula , ; B3, the standard deviation of the restricted oxygen flow sequence , Standard deviation of normal oxygenation sequence and covariance Input into the Pearson distance model formula (Formula 4), as follows: Formula 4: ; It is explained in detail that the purpose of inputting into the Pearson distance model is to quantify the difference in oxygen permeability between the growth-restricted area and the normal growth area in the same monitoring period, comprehensively consider the covariance of the oxygen permeability sequences of the two areas and their respective standard deviations, and generally reflect the deviation of oxygen permeability in different areas and different periods, and indirectly reflect the degree of difference in oxygen permeability between the growth-restricted area and the normal growth area, and then judge whether the growth restriction of yeast in the growth-restricted area is caused by oxygen permeability, provide strong data support for the subsequent adjustment and optimization of the growth-restricted area, and help to take targeted measures, such as adjusting the oxygen permeability, to improve the fermentation process, improve the uniformity of yeast growth and fermentation efficiency; The regional deviation value is compared with the regional deviation threshold as follows: If the regional deviation value is greater than the regional deviation threshold, it means that the difference in oxygen permeability between the growth-restricted area and the normal growth area is large, and an oxygen permeability influence signal is generated; If the regional deviation value is less than or equal to the regional deviation threshold, it means that the difference in oxygen permeability between the growth-restricted area and the normal growth area is small, and an oxygen permeability non-influence signal is generated; Summary of the scheme of this embodiment: Growth-restricted and normal areas are screened out according to the dissolved oxygen content in different monitoring periods of the fermentation area, and the oxygen flux sequences of the two are obtained and integrated. The oxygen flux in the same monitoring period is input into the Pearson distance model, and the regional deviation value is obtained by calculating the covariance and standard deviation. The regional deviation value is used to obtain the difference in oxygen flux between the growth-restricted area and the normal growth area in the same monitoring period, thereby indirectly reflecting that the growth restriction of yeast in the growth-restricted area is caused by the oxygen flux, further determining the cause of the growth-restricted area, and providing data support for the subsequent adjustment and optimization of the growth-restricted area.

[0021] Example 3 See also Figure 1 As shown, the present invention is a method for monitoring faults in a microbial fermentation process of food production. According to the analysis in Example 2, the growth restriction of yeast in the growth restricted area is caused by the oxygen flow rate. Therefore, it is necessary to adjust the oxygen flow rate in the growth restricted area in a targeted manner according to the spatial positions of different growth restricted areas to avoid the restricted growth of yeast in the growth restricted area, resulting in insufficient yeast quantity or suppressed activity, which slows down the speed of converting fermentation substrates into products and causes the problem of reduced alcohol production in the later anaerobic stage. Therefore, the following steps need to be performed: Step 3: Based on the oxygenation influence signal, obtain the oxygenation flow rate adjustment amount, and adjust the oxygenation flow rate of the growth-restricted area; In a preferred embodiment, a two-dimensional spatial model of the region is constructed based on different fermentation regions in the fermenter; It can be understood that the regional two-dimensional spatial model includes normal growth areas and growth-restricted areas; In the regional two-dimensional spatial model, the coordinates of the center points in all growth-restricted regions are obtained, and the coordinates of the center points in any two growth-restricted regions are combined and connected to obtain multiple distance analysis groups; Arbitrarily select a set of distance analysis groups; Input the distance analysis group into the coordinate distance calculation model (Formula 5) to obtain the restricted area spacing ; Formula 5: ; in, , is the coordinate of the center point within the growth-restricted area within the distance analysis group; The restricted area spacing corresponding to the distance analysis group Compare with the preset limited spacing, the specific process is as follows: If the restricted area spacing If it is larger than the preset restricted spacing, it means that the spacing between the growth restricted areas in the distance analysis group is large, and the distance analysis group is marked as a distance-separated group; If the restricted area spacing If it is less than or equal to the preset restricted spacing, it means that the spacing between the growth restricted areas in the distance analysis group is small, and the distance analysis group is marked as an adjacent distance group; It should be noted that the preset restricted spacing is twice the spacing between the center points of adjacent fermentation areas, wherein the adjacent fermentation areas include but are not limited to adjacent normal growth areas, adjacent restricted growth areas, and normal growth areas and restricted growth areas; Exemplarily, for the adjacent distance groups, the oxygen adjustment amount is obtained by performing the following process: In the adjacent distance groups, the oxygen permeability of the growth-restricted area in different monitoring periods was obtained and input into the Euclidean distance calculation model (Formula 6), and the adjacent oxygen permeability deviation value was obtained as output. ; Formula 6: ; in, Expressed as The adjacent oxygen deviation values ​​corresponding to the adjacent distance groups are: Expressed as the total number of distance groups, Expressed as One of the restricted areas in the adjacent distance group is in The oxygen flow rate corresponding to each monitoring period is Expressed as Another restricted area in the adjacent distance group is in The oxygen flow rate corresponding to each monitoring period is It is expressed as the total number of adjacent distance groups; It should be noted that the purpose of using the Euclidean distance calculation model is to quantify the difference in oxygen permeability between adjacent growth-restricted areas at different time periods, accurately reflect the discreteness of oxygen permeability in these areas numerically, and assist in determining the oxygen permeability adjustment strategy for adjacent growth-restricted areas, thereby improving the adjustment efficiency of yeast growth restriction in growth-restricted areas and solving the problem of yeast growth restriction caused by uneven oxygen permeability. If the adjacent oxygen flow deviation value is greater than the preset adjacent oxygen flow deviation value, a single adjustment signal is provided; When a single adjustment signal is generated, the minimum oxygen flow and the maximum oxygen flow of the growth-restricted area in the adjacent distance group are averaged and calculated, and then the difference is made with the preset oxygen flow, and the absolute value is taken to obtain the oxygen flow adjustment amount; If the adjacent oxygen flow deviation value is less than or equal to the preset adjacent oxygen flow deviation value, the signal is adjusted centrally; When a centralized adjustment signal is generated, the oxygen flow rates of all growth-restricted areas in the adjacent distance groups are averaged and then subtracted from the preset oxygen flow rates to obtain the absolute value to obtain the oxygen flow adjustment amount. Specifically, the minimum oxygen permeability of the growth-restricted region within the adjacent distance group is the minimum value within the restricted oxygen permeability sequence; Similarly, the maximum oxygen flux in the growth-restricted region within the adjacent distance group is the maximum value within the extraction-restricted oxygen flux sequence; It is further explained that the restricted area adjustment sub-value only corresponds to one restricted area. If the restricted area is repeated, the average calculation is not performed to obtain the oxygen flow adjustment amount; Exemplarily, for the interval distance group, the oxygen adjustment amount is obtained by performing the following process: In the distance-separated groups, the oxygen flow in the growth-restricted area during different monitoring periods was obtained, and the average calculation was performed to obtain the oxygen flow adjustment amount; This embodiment summarizes: based on the oxygen influencing signal, a regional two-dimensional spatial model is constructed with different fermentation areas in the fermenter, the coordinates of the center points of the growth-restricted areas are obtained and combined into a distance analysis group, and the restricted area spacing is obtained by the coordinate distance calculation model, and is divided into adjacent distance groups and separated distance groups accordingly. For the adjacent distance group, the Euclidean distance calculation model is used to quantify the difference in oxygen flux in different time periods to obtain adjacent oxygen flux deviation values, and then the restricted area adjustment sub-values ​​are obtained by calculating the average of the minimum and maximum oxygen fluxes in the group, and then the oxygen flux adjustment amount is calculated; for the separated distance group, the oxygen flux in different time periods of each growth-restricted area in the group is directly averaged and calculated to obtain the oxygen flux adjustment amount, and these oxygen flux adjustment amounts are used to accurately adjust the oxygen flux flow rate of the growth-restricted area, so as to solve the problem of yeast growth restriction caused by uneven oxygen flux in the aerobic fermentation stage, improve the adjustment efficiency of the yeast growth restriction problem, improve the adverse fermentation conditions caused by uneven oxygen flux, and optimize the yeast growth environment.

[0022] Example 4 See also Figure 1 As shown, the present invention is a microbial fermentation process fault monitoring system for food production, comprising the following modules: Uniform growth evaluation module: During the aerobic fermentation cycle, the dissolved oxygen content in the fermentation area is monitored during the divided monitoring period, and a comprehensive analysis is performed using the coefficient of variation model and the Euclidean distance model to evaluate the uniformity of yeast growth; In a preferred embodiment, the aerobic fermentation cycle is divided into a number of monitoring periods with equal time intervals; The dissolved oxygen content of different fermentation areas during the monitoring period is obtained in real time through the optical fiber dissolved oxygen sensor, and the dissolved oxygen content of different fermentation areas is sorted and integrated according to the time series to obtain the regional dissolution sequence; The regional dissolution sequence corresponding to the monitoring period is randomly selected, input into the coefficient of variation model, and then input into the Euclidean distance calculation model to obtain the uniform judgment value as output; If the uniformity determination value is less than or equal to the uniformity determination threshold, it means that the yeast growth is relatively stable and uniform, and a growth uniformity signal is generated; If the uniformity judgment value is greater than the uniformity judgment threshold, it means that the change of yeast growth uniformity between adjacent time periods is relatively unstable, which is a signal of uneven growth; Restricted growth analysis module: If the yeast grows unevenly, the growth restricted area and the normal growth area are screened out according to the dissolved oxygen content in the fermentation area, and the oxygen permeability of the growth restricted area and the normal growth area is obtained respectively, and input into the Pearson distance model to determine whether the oxygen permeability affects yeast growth; Extract the dissolved oxygen content in the fermentation area during different monitoring periods, perform average calculation, and output the average dissolved oxygen value during the period; If the average dissolved oxygen value in the time period is greater than or equal to the preset dissolved oxygen value, the yeast growth in the fermentation area is normal during the different monitoring periods, which is the normal growth area; If the average dissolved oxygen value in the time period is less than or equal to the preset dissolved oxygen value, the yeast growth in the fermentation area is restricted during the different monitoring periods, which is the growth-restricted area; Obtain the oxygen permeability of the growth-restricted area during different monitoring periods, sort them according to the time series, and integrate them into a restricted oxygen permeability sequence accordingly; Obtain the oxygen permeability of the normal growth area during different monitoring periods, sort them according to the time series, and integrate them into a normal oxygen permeability sequence accordingly; Arbitrarily select a growth-restricted region and a normal growth region; The oxygen flow corresponding to the same monitoring period in the restricted oxygen flow sequence and the normal oxygen flow sequence is input into the Pearson distance model, and the regional deviation value is output; If the regional deviation value is greater than the regional deviation threshold, it means that the difference in oxygen permeability between the growth-restricted area and the normal growth area is large, and an oxygen permeability influence signal is generated; If the regional deviation value is less than or equal to the regional deviation threshold, it means that the difference in oxygen permeability between the growth-restricted area and the normal growth area is small, and an oxygen permeability non-influence signal is generated; Oxygen restriction adjustment module: If it affects yeast growth, a two-dimensional spatial model of the region is constructed, and the adjacent distance groups and the separated distance groups are obtained according to the coordinate positions of the center points of different growth restricted regions, and the oxygen adjustment amount is obtained for the adjacent distance groups and the separated distance groups respectively; Based on different fermentation areas in the fermenter, a two-dimensional spatial model of the area is constructed; In the regional two-dimensional spatial model, the coordinates of the center points in all growth-restricted regions are obtained, and the coordinates of the center points in any two growth-restricted regions are combined and connected to obtain multiple distance analysis groups; Arbitrarily select a set of distance analysis groups; Input the distance analysis group into the coordinate distance calculation model (Formula 5) to obtain the restricted area spacing; If the restricted area spacing is greater than the preset restricted spacing, it means that the spacing between the growth restricted areas in the distance analysis group is large, and the distance analysis group is marked as a distance-separated group; If the restricted area spacing is less than or equal to the preset restricted spacing, it means that the spacing between the growth restricted areas in the distance analysis group is small, and the distance analysis group is marked as an adjacent distance group; For the adjacent distance groups, the oxygen permeability of the growth-restricted area in different monitoring periods was obtained respectively, and all were input into the Euclidean distance calculation model, and the adjacent oxygen permeability deviation value was output; If the adjacent oxygen flow deviation value is greater than the preset adjacent oxygen flow deviation value, a single adjustment signal is provided; When a single adjustment signal is generated, the minimum oxygen flow and the maximum oxygen flow of the growth-restricted areas in all adjacent distance groups are selected, and the average calculation is performed to obtain the oxygen flow adjustment amount; If the adjacent oxygen flow deviation value is less than or equal to the preset adjacent oxygen flow deviation value, the signal is adjusted centrally; The minimum oxygen flux and the maximum oxygen flux of the growth-restricted area in all adjacent distance groups are selected respectively, and the average calculation is performed respectively to obtain the restricted area adjustment sub-value; All restricted area adjustment sub-values ​​are averaged and calculated to obtain the oxygen adjustment amount; The minimum oxygen permeability of the growth-restricted region within the adjacent distance group is the minimum value within the extraction-restricted oxygen permeability sequence; Similarly, the maximum oxygen flux in the growth-restricted region within the adjacent distance group is the maximum value within the extraction-restricted oxygen flux sequence; For the distance groups, the oxygen permeability of the growth-restricted area in different monitoring periods was obtained, and the average calculation was performed to obtain the oxygen permeability adjustment amount.

[0023] The technical solution of the present invention is conceived as follows: using an optical fiber dissolved oxygen sensor to collect dissolved oxygen content in different areas, calculating through the coefficient of variation and the Euclidean distance model, evaluating the uniformity of yeast growth, judging whether the growth is stable and uniform, and when the yeast grows unevenly, screening the growth-restricted and normal areas according to the dissolved oxygen content, analyzing the effect of oxygen flow on yeast growth through the Pearson distance model, and if the oxygen flow leads to restricted yeast growth, constructing a two-dimensional spatial model of the area, grouping according to the coordinates of the center point of the restricted growth area, and calculating the oxygen flow adjustment amount respectively, solving the problems of how to accurately evaluate the uniformity of yeast growth, determine the cause of restricted growth, and adjust the oxygen flow in a targeted manner, so as to timely discover fermentation abnormalities, accurately locate the root cause of the problem, effectively adjust the oxygen flow to optimize the yeast growth environment, and improve the fermentation efficiency and product quality.

[0024] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A method for monitoring failures in a microbial fermentation process of food production, characterized in that: The steps include: Monitor the dissolved oxygen content in the fermentation area during the divided monitoring period, and conduct comprehensive analysis using the coefficient of variation model and Euclidean distance model to evaluate the uniformity of yeast growth; If the yeast grows unevenly, the growth-restricted area and the normal growth area are screened out according to the dissolved oxygen content in the fermentation area, and the oxygen permeability of the growth-restricted area and the normal growth area are obtained respectively, and input into the Pearson distance model to determine whether the oxygen permeability affects the yeast growth; If it affects yeast growth, a two-dimensional spatial model of the region is constructed. According to the coordinate positions of the center points of different growth-restricted regions, it is determined whether the growth-restricted regions can be adjusted centrally. If so, the centralized oxygen adjustment amount is obtained. If not, the single oxygen adjustment amount is obtained.

2. The method for monitoring faults in a microbial fermentation process of food production according to claim 1, characterized in that: To assess yeast growth uniformity, perform the following steps: The dissolved oxygen content in the fermentation area is sorted and integrated to obtain the regional dissolution sequence, which is successively input into the coefficient of variation model and the Euclidean distance model to output a uniform judgment value; If the uniformity determination value is greater than the uniformity determination threshold, an uneven growth signal is generated.

3. The method for monitoring faults in a microbial fermentation process of food production according to claim 1, characterized in that: The screening process for growth-restricted and normal-growth areas is as follows: The dissolved oxygen content in the fermentation area in different monitoring periods is averaged and calculated, and the average dissolved oxygen value of the period is output; If the average dissolved oxygen value in the time period is greater than or equal to the preset dissolved oxygen value, it is recorded as a normal growth area; If the average dissolved oxygen value in a time period is less than or equal to the preset dissolved oxygen value, it will be recorded as a growth-restricted area.

4. The method for monitoring faults in a microbial fermentation process of food production according to claim 1, characterized in that: Obtain the oxygen flux sequence of growth-restricted and normal growth areas and input it into the Pearson distance model. The execution process is as follows: The oxygen permeability of the growth-restricted area and the normal growth area in different monitoring periods is obtained respectively, and they are sorted according to the order of the monitoring periods to obtain a restricted oxygen permeability sequence and a normal oxygen permeability sequence; Based on the same monitoring period, oxygen flow rates were selected from the restricted oxygen flow sequence and the normal oxygen flow sequence, respectively, and input into the Pearson distance model to obtain the regional deviation value as output.

5. The method for monitoring faults in a microbial fermentation process of food production according to claim 1, characterized in that: To determine whether the oxygen supply affects yeast growth, the judgment process is as follows: If the regional deviation value is greater than the regional deviation threshold, an oxygenation influence signal is generated.

6. The method for monitoring faults in a microbial fermentation process of food production according to claim 1, characterized in that: According to the coordinate positions of the center points of different growth-restricted areas, adjacent distance groups and separated distance groups are obtained. The execution process is as follows: In the regional two-dimensional spatial model, the coordinates of the center points in two growth-restricted regions are arbitrarily combined to obtain multiple distance analysis groups, which are respectively input into the coordinate distance calculation model to obtain the restricted region spacing; If the restricted area spacing is greater than the preset restricted spacing, it is a distance-separated group; If the restricted area spacing is less than or equal to the preset restricted spacing, it is an adjacent distance group.

7. The method for monitoring faults in a microbial fermentation process of food production according to claim 6, characterized in that: Perform the following operations for adjacent distance groups: The oxygen permeability of the growth-restricted areas in the adjacent distance groups during the same monitoring period is obtained respectively, and all are input into the Euclidean distance calculation model, and the adjacent oxygen permeability deviation value is output; If the adjacent oxygen flow deviation value is greater than the preset adjacent oxygen flow deviation value, a single adjustment signal is provided; If the adjacent oxygen flow deviation value is less than or equal to the preset adjacent oxygen flow deviation value, the signal is adjusted centrally.

8. The method for monitoring faults in a microbial fermentation process of food production according to claim 7, characterized in that: For adjacent distance groups, obtain the oxygen adjustment amount. The execution process is as follows: If a single adjustment signal is generated, the minimum oxygen flow and the maximum oxygen flow of the growth-restricted area in the adjacent distance group are averaged and calculated, and then the difference is made with the preset oxygen flow, and the absolute value is taken to obtain the centralized oxygen flow adjustment amount; If a centralized adjustment signal is generated, the oxygen flow rates of all growth-restricted areas in adjacent distance groups are averaged and then subtracted from the preset oxygen flow rates to obtain the absolute value to obtain the centralized oxygen flow adjustment amount.

9. The method for monitoring faults in a microbial fermentation process of food production according to claim 1, characterized in that: Do the following for the Standoff Distance group: In the distance-separated groups, the oxygen throughput of the growth-restricted area in different monitoring periods is obtained respectively, and after averaging calculation, it is subtracted from the preset oxygen throughput, and the absolute value is taken to obtain a single oxygen throughput adjustment amount.

10. A microbial fermentation process fault monitoring system for food production, characterized in that: Includes the following modules: Uniform growth evaluation module: monitors the dissolved oxygen content in the fermentation area during the monitoring period after division, and conducts comprehensive analysis through the coefficient of variation model and Euclidean distance model to evaluate the uniformity of yeast growth; Restricted growth analysis module: If the yeast grows unevenly, the growth restricted area and the normal growth area are screened out according to the dissolved oxygen content in the fermentation area, and the oxygen permeability of the growth restricted area and the normal growth area is obtained respectively, and input into the Pearson distance model to determine whether the oxygen permeability affects yeast growth; Oxygen restriction adjustment module: If it affects yeast growth, a two-dimensional spatial model of the region is constructed. According to the coordinate position of the center point of different growth restricted regions, it is determined whether the growth restricted region can be adjusted centrally. If so, the centralized oxygen adjustment amount is obtained. If not, a single oxygen adjustment amount is obtained.

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