Intelligent vinegar fermentation tank metering and monitoring system

Abstract

The invention relates to the technical field of data processing, in particular to an intelligent vinegar fermentation tank metering and monitoring system which is configured to execute the following steps: acquiring monitoring data of a target fermentation batch in a vinegar production container; mapping the monitoring data of the target fermentation batch to a pre-constructed data space to obtain a target data point; obtaining a first weight value and a second weight value; determining a weighted distance between the target data point and a plurality of other nearest data points in the data space by using the first weighted value and the second weighted value, and obtaining a density value of the target data point according to the weighted distance between the target data point and the plurality of other nearest data points; and when the density value is out of the preset density range, outputting prompt information. According to the technical scheme, the fermentation process of the table vinegar can be effectively monitored.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and particularly to an intelligent metering and monitoring system for vinegar fermentation tanks. Background Art

[0002] Vinegar can be classified into three categories according to the processing method: synthetic vinegar, brewed vinegar, and reprocessed vinegar; among them, brewed vinegar is the most common type of vinegar, and brewed vinegar is brewed through stages such as microbial koji making, saccharification, alcohol fermentation, and acetic acid fermentation.

[0003] Vinegar raw materials such as corn or rice are fermented under the action of specific microorganisms such as yeast. During the fermentation process, the starch in the raw materials is converted into sugar, providing a substrate for the subsequent alcohol fermentation process; the sugar produced by saccharification is converted into alcohol under the action of yeast, and the alcohol is converted into acetic acid under the action of acetic acid bacteria to form vinegar.

[0004] In order to reduce the difficulty of personnel in monitoring the vinegar fermentation process, electronic devices can be used to monitor the vinegar fermentation process to achieve adaptive adjustment of the fermentation process; for example, in the Chinese patent application document with the publication number CN118151692A, a method for adaptive temperature adjustment of a vinegar fermentation chamber is provided, including: based on the fermentation principle and the heat trend of koji material reaction, making a phased hierarchical division of the entire vinegar fermentation cycle to determine the cascade adjustment stage; performing a coupling correlation analysis of temperature control factors on the fermentation chamber to determine the temperature control constraint conditions; reading the basic information of raw materials and koji materials and identifying the configuration ratio, and combining the temperature control constraint conditions, traversing the cascade adjustment stage in the temperature control analysis model to perform decision-making analysis on the ideal fermentation temperature to determine the pre-adjusted temperature data, and the pre-adjusted temperature data includes multiple temperature control nodes, and each temperature control node is marked with an ideal temperature range; based on the pre-adjusted temperature data, the upper computer sends a temperature control instruction to the control center to perform temperature control of the fermentation chamber; based on the sensor array, performing temperature and humidity sensing acquisition of the fermentation chamber, and detecting the temperature of the fermentation tank based on the temperature measuring probe to determine the real-time temperature distribution; monitoring the real-time fermentation state, combining the real-time temperature distribution, performing chemical quality and temperature control deviation analysis, and performing temperature adjustment decision-making in the temperature control analysis model to determine the feedback adjustment data; based on the feedback adjustment data, generating a temperature adjustment instruction and sending it to the control center based on the upper computer.

[0005] However, when the related technology monitors the vinegar fermentation process, it mainly monitors the fermentation process through temperature. However, the vinegar fermentation process is affected by various influencing factors. Therefore, it is difficult to accurately monitor the vinegar fermentation process. Summary of the Invention

[0006] To overcome the problem in the related art that it is difficult to accurately monitor the fermentation process of vinegar, the present application provides an intelligent vinegar fermentation tank metering and monitoring system, which is configured to perform the following steps: obtaining the monitoring data inside the production container of vinegar in the target fermentation batch; the monitoring data includes the temperature value and the pH value; mapping the monitoring data of the target fermentation batch into a pre-constructed data space to obtain a target data point; the data space includes multiple reference data points corresponding to historical monitoring data; obtaining a first weight value and a second weight value; the first weight value is used to characterize the influence degree of the temperature value of the target fermentation batch on the vinegar fermentation efficiency; the second weight value is used to characterize the influence degree of the pH value of the target fermentation batch on the vinegar fermentation efficiency; using the first weight value and the second weight value, determining the weighted distance between the target data point and multiple other nearest data points in the data space, and obtaining the density value of the target data point according to the weighted distance between the target data point and the multiple other nearest data points; in the case where the density value is outside the preset density range, outputting a prompt message; the prompt message is used to prompt that there is an abnormality in the production process of the vinegar in the target fermentation batch.

[0007] In this way, using the first weight value and the second weight value, the weighted distance between the target data point and multiple other nearest data points in the data space is determined, so as to obtain the density value of the target data point. Since the density value is obtained based on the weighted distance, and the weighted distance is obtained based on the first weight and the second weight, and different weights respectively represent the influence degrees of the temperature value and the pH value on the vinegar fermentation efficiency, therefore, the density value can effectively characterize the probability that there is no abnormality in the production of the target fermentation batch of vinegar. In the case where the density value is outside the preset density range, outputting a prompt message can effectively realize the monitoring of the vinegar fermentation process.

[0008] Optionally, using the first weight value and the second weight value to determine the weighted distance between the target data point and multiple other nearest data points in the data space includes: D a is the weighted distance between the target data point and the a-th other nearest data point in the data space, t1 is the first weight value, and t2 is the second weight value. is the difference in the temperature value between the target data point and the a-th other nearest data point in the data space. is the difference in the pH value between the target data point and the a-th other nearest data point in the data space.

[0009] In this way, using the first weight value and the second weight value, the weighted distance between the target data point and multiple other nearest data points in the data space is determined. The weighted distance takes into account the influence degrees of the temperature value and the pH value on the raw material conversion rate, so that the difference between the target data point and other data points reflected by the weighted distance can better reflect the difference in the raw material conversion rate.

[0010] Optionally, the first weight value or the second weight value is obtained through the following method: obtaining the target correspondence relationship determined according to the reference fermentation batch, where the target correspondence relationship is used to represent the correspondence relationship between the target influencing factor and the vinegar fermentation efficiency; the reference fermentation batch is the same as the target fermentation batch in other influencing factors except the target influencing factor; determining the target weight value corresponding to the target influencing factor of the target fermentation batch according to the value of the target influencing factor of the target fermentation batch and the target correspondence relationship; where the target influencing factor is any one of the temperature value and the pressure value; the target weight value is the weight value corresponding to the target influencing factor among the first weight value and the second weight value.

[0011] In this way, under the condition of controlling other influencing factors except the target influencing factor to be the same, the correspondence relationship between the target influencing factor and the vinegar fermentation efficiency is obtained, so as to obtain the target weight value corresponding to the target influencing factor of the target fermentation batch, and the target weight value can better reflect the influence degree of the target influencing factor on the vinegar fermentation efficiency.

[0012] Optionally, the target weight value corresponding to the target influencing factor of the target fermentation batch is determined through the following method: where A i is the target weight value corresponding to the target influencing factor of the target fermentation batch, π is the pi, arctan is the arctangent function, z i is the value of the target influencing factor of the target fermentation batch, z i+1 and z i-1 are respectively the next and the previous values of the value of the target influencing factor of the target fermentation batch, w i is the vinegar fermentation efficiency corresponding to the value of the target influencing factor of the target fermentation batch in the target correspondence relationship; w i+1 and w i-1 are respectively the vinegar fermentation efficiencies corresponding to the next and the previous values of the value of the target influencing factor of the target fermentation batch in the target correspondence relationship.

[0013] In this way, by comparing the adjacent values of the value of the target influencing factor of the target fermentation batch and comparing the vinegar fermentation efficiencies corresponding to the adjacent values of the value of the target influencing factor of the target fermentation batch, the target weight value can better reflect the influence of the target influencing factor on the vinegar fermentation efficiency.

[0014] Optionally, the density value of the target data point is obtained according to the weighted distance between the target data point and multiple other nearest data points in the data space, including: M is the density value of the target data point, norm is the normalization function, K is the preset number, and D a is the weighted distance between the target data point and the a-th other nearest data point in the data space.

[0015] In this way, the reciprocal of the average value of the weighted distances from the target data point to multiple nearest reference data points in the data space is used as the density value of the target data point, and the density value can better reflect the probability that the target fermentation batch is free of anomalies.

[0016] Optionally, the density value of the target data point is obtained according to the weighted distance between the target data point and multiple other nearest data points in the data space, including: M is the density value of the target data point, norm is the normalization function, K is the preset number, exp is the exponential function with the natural constant as the base; m a is the initial density value of the a-th other nearest data point to the target data point in the data space, and the initial density value is used to characterize the aggregation degree of the a-th other data point and other data points within the neighborhood range of the a-th other data point in the data space, D a is the weighted distance between the target data point and the a-th other nearest data point in the data space.

[0017] Optionally, the data space is constructed in the following manner: The temperature value and the pH value are used to create a rectangular coordinate system in different dimensions, and multiple historical monitoring data of the interior of the production container in multiple historical fermentation batches are obtained; the temperature value and the pH value of the historical monitoring data are used as the abscissa and ordinate of the rectangular coordinate system in sequence, and the reference data points corresponding to the historical monitoring data in the rectangular coordinate system are obtained to obtain the data space.

[0018] Optionally, the preset density range is determined in the following manner: The density values of the reference data points corresponding to the historical monitoring data are obtained, and the average value and the standard deviation of the multiple density values corresponding to the multiple reference data points are determined; according to the average value and the standard deviation of the multiple density values, the upper limit value and the lower limit value of the preset density range are respectively determined to obtain the preset density range.

[0019] The technical solutions provided by the embodiments of the present application may include the following beneficial effects: By using the first weight value and the second weight value, the weighted distance between the target data point and multiple other nearest data points in the data space is determined, so as to obtain the density value of the target data point. Since the density value is obtained based on the weighted distance, and the weighted distance is obtained based on the first weight and the second weight, and different weights respectively represent the influence degrees of the temperature value and the pH value on the vinegar fermentation efficiency. Therefore, the density value can effectively characterize the probability that the production of the target fermentation batch of vinegar is normal. When the density value is outside the preset density range, a prompt message is output, which can effectively monitor the fermentation process of vinegar.

[0020] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present application and used together with the specification to explain the principles of the present application.

[0022] Figure 1 is a flowchart of an intelligent vinegar fermentation tank metering and monitoring system shown according to an exemplary embodiment. DETAILED DESCRIPTION

[0023] Here, the exemplary embodiments will be described in detail, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application.

[0024] First, a brief introduction to the application scenario of the embodiments of the present application is given. In the application scenario of the present application, the fermentation process of vinegar can be monitored by using the temperature value. However, the production process of vinegar may be affected by various influencing factors. Therefore, it is difficult for the related technologies to effectively monitor the fermentation process of vinegar.

[0025] To solve the above technical problems, the embodiments of the present application provide an intelligent vinegar fermentation tank metering and monitoring system. Figure 1 is a flowchart of an intelligent vinegar fermentation tank metering and monitoring system shown according to an exemplary embodiment, as Figure 1 shown, configured to execute steps S101, S102, and S103.

[0026] In step S101, the monitoring data inside the production container of vinegar in the target fermentation batch is obtained.

[0027] The production container is used to ferment vinegar raw materials to obtain vinegar; the monitoring data includes temperature values and pH values; for example, by setting a temperature sensor inside the production container, the temperature value inside the production container can be obtained periodically; by setting a pH sensor inside the production container, the pH value inside the production container can be obtained periodically.

[0028] The target fermentation batch can be any one of multiple fermentation batches. For example, the target fermentation batch can be the current fermentation batch to promptly detect possible abnormalities in the production process of the current fermentation batch; or it can be any one of the fermentation batches before the current fermentation batch to achieve a review of the production process of historical fermentation batches.

[0029] The temperature value and pH value affect the efficiency of the vinegar fermentation process. Therefore, by obtaining the temperature value and pH value inside the production container, it helps to monitor the vinegar fermentation process.

[0030] For example, during the process of fermenting vinegar raw materials to obtain vinegar, in order to ensure the stability of the reaction process, relatively stable temperature values and pH values are usually maintained. Therefore, the temperature value of the target fermentation batch can be determined according to the average or mode of the temperature values at different times in the target fermentation batch; the pH value of the target fermentation batch can be determined according to the average or mode of the pH values at different times in the target fermentation batch.

[0031] In step S102, the monitoring data of the target fermentation batch is mapped into a pre-constructed data space to obtain a target data point.

[0032] The data space includes multiple reference data points corresponding to historical monitoring data. The multiple reference data points can correspond to historical monitoring data that has passed inspection. For example, it can be determined according to the temperature values and pH values of the fermentation batches that have passed inspection after production.

[0033] The data space can be a two-dimensional Cartesian coordinate system including multiple reference data points. Through the reference data points existing in the two-dimensional Cartesian coordinate system, it can provide a good reference for whether there are abnormalities in the target data point corresponding to the target fermentation batch, so as to determine whether there are abnormalities in the production process of the vinegar raw materials of the target fermentation batch.

[0034] In one embodiment, the data space is constructed in the following manner: using the temperature value and pH value as different dimensions to create a two-dimensional Cartesian coordinate system, and obtaining multiple historical monitoring data inside the production container for multiple historical fermentation batches; using the temperature value and pH value of the historical monitoring data as the abscissa and ordinate of the two-dimensional Cartesian coordinate system in sequence to obtain the reference data points corresponding to the historical monitoring data in the two-dimensional Cartesian coordinate system, so as to obtain the data space.

[0035] For example, a plane rectangular coordinate system can be constructed with the temperature value as the abscissa and the pH value as the ordinate; based on the temperature value and pH value corresponding to the historical fermentation batches, the historical monitoring data of the historical fermentation batches can be mapped to the reference data points in the plane rectangular coordinate system, thereby obtaining a data space including multiple reference data points; among them, different historical fermentation batches correspond to different temperature values or pH values.

[0036] When fermenting vinegar raw materials under similar reaction conditions, the content of the obtained vinegar shows similar performance; by mapping the historical monitoring data corresponding to the historical fermentation batches to the plane rectangular coordinate system to obtain a data space, the anomalies in the fermentation process of vinegar are sporadic, so that the data points with aggregation in the data space have a high probability of being normal, on the contrary, the data points with isolation in the data space have a high probability of being abnormal.

[0037] When subsequently mapping the monitoring data of the target fermentation batch to be monitored into the data space, if the target data point corresponding to the target fermentation batch has a high degree of isolation in the data space, it indicates that there is a high probability that the reaction process of the target fermentation batch is abnormal; on the contrary, if the target data point corresponding to the target fermentation batch has a high degree of aggregation in the data space, it indicates that there is a high probability that the reaction process of the target fermentation batch is normal.

[0038] In this way, mapping the historical monitoring data corresponding to the historical fermentation batches to the plane rectangular coordinate system and obtaining a data space including multiple reference data points can provide a good reference for the reaction situation of the target fermentation batch, so as to better monitor the production process of the target fermentation batch.

[0039] In step S103, a first weight value and a second weight value are obtained.

[0040] The first weight value is used to characterize the influence degree of the temperature value of the target fermentation batch on the vinegar fermentation efficiency; the second weight value is used to characterize the influence degree of the pH value of the target fermentation batch on the vinegar fermentation efficiency.

[0041] By pre-actually testing or simulating the process of obtaining vinegar by fermenting vinegar raw materials, the vinegar fermentation efficiency corresponding to the vinegar raw materials can be obtained respectively when fermenting at different temperature values or pH values, so as to obtain the corresponding relationship between the temperature value and the pH value and the vinegar fermentation efficiency.

[0042] The vinegar fermentation efficiency of vinegar refers to the percentage of converting vinegar raw materials into vinegar during the fermentation process. The vinegar fermentation efficiency can be determined in the following ways: measuring the percentage of acetic acid in the fermented vinegar by techniques such as titration or high-performance liquid chromatography to determine the vinegar fermentation efficiency; since the content of organic acids is proportional to the content of acetic acid, the total amount of organic acids produced during the fermentation process can be obtained to determine the vinegar fermentation efficiency; the specific determination method of the vinegar fermentation efficiency obtained after fermenting the vinegar raw materials in the embodiments of the present application is not limited.

[0043] According to the pre-determined corresponding relationship used to characterize the relationship between the temperature value and the pH value and the vinegar fermentation efficiency, the vinegar fermentation efficiency corresponding to different temperature values can be determined at the pH value of the target fermentation batch; according to the vinegar fermentation efficiency corresponding to different temperature values, the influence degree of the temperature value of the target fermentation batch on the vinegar fermentation efficiency can be determined to obtain the first weight value corresponding to the temperature value of the target fermentation batch.

[0044] Referring to the process of obtaining the first weight value, the second weight value corresponding to the pH value of the target fermentation batch can be obtained, so as to comprehensively consider the influence degrees of the temperature value and the pH value on the vinegar fermentation efficiency and realize the monitoring of the production process of the vinegar raw materials in the target fermentation batch.

[0045] In one embodiment, the first weight value and the second weight value are obtained in the following way: obtaining the target corresponding relationship determined according to the reference fermentation batch, where the target corresponding relationship is used to characterize the corresponding relationship between the target influencing factor and the vinegar fermentation efficiency; the reference fermentation batch is the same as the target fermentation batch in other influencing factors except the target influencing factor; according to the value of the target influencing factor of the target fermentation batch and the target corresponding relationship, determining the target weight value corresponding to the target influencing factor of the target fermentation batch; where the target influencing factor is any one of the temperature value and the pressure value; the target weight value is the weight value corresponding to the target influencing factor in the first weight value and the second weight value.

[0046] For example, when the target influencing factor is the temperature value, the reference fermentation batch can be other fermentation batches with the same pH value as the target fermentation batch, and the vinegar raw material used for fermenting the reference fermentation batch is the vinegar raw material sample.

[0047] Under the condition of keeping the pH value unchanged, the vinegar fermentation efficiency achieved by fermenting the vinegar raw material sample at different temperature values can be obtained. The target corresponding relationship can characterize the corresponding relationship between the temperature value and the vinegar fermentation efficiency, so as to obtain the first weight value corresponding to the temperature value of the target fermentation batch under the condition of the same pH value as the target fermentation batch.

[0048] When the target influencing factor is the pH value, the reference fermentation batch can be other fermentation batches with the same temperature value as the target fermentation batch.

[0049] When the target influencing factor is the temperature value, the target weight value is the first weight value corresponding to the temperature value; when the target influencing factor is the pH value, the target weight value is the second weight value corresponding to the pH value.

[0050] In this way, when controlling other influencing factors except the target influencing factor to be the same, the corresponding relationship between the target influencing factor and the vinegar fermentation efficiency is obtained, so as to obtain the target weight value corresponding to the target influencing factor of the target fermentation batch, and the target weight value can better reflect the influence degree of the target influencing factor on the vinegar fermentation efficiency.

[0051] In one embodiment, determining the target weight value corresponding to the target influencing factor of the target fermentation batch according to the value of the target influencing factor of the target fermentation batch and the target corresponding relationship includes: determining the vinegar fermentation efficiency corresponding to the value of the target influencing factor of the target fermentation batch in the target corresponding relationship according to the value of the target influencing factor of the target fermentation batch and the target corresponding relationship; respectively determining the vinegar fermentation efficiencies corresponding to the values on the adjacent two sides of the value of the target influencing factor of the target fermentation batch in the target corresponding relationship; obtaining the target weight value corresponding to the target influencing factor of the target fermentation batch according to the value of the target influencing factor of the target fermentation batch and the vinegar fermentation efficiencies corresponding to the values on the adjacent two sides in the target corresponding relationship.

[0052] In this way, the target weight value corresponding to the target influencing factor of the target fermentation batch can be determined according to the change of the vinegar fermentation efficiency in the target corresponding relationship on both sides of the target influencing factor of the target fermentation batch, so as to characterize the influence degree of the target influencing factor on the vinegar fermentation efficiency through the target weight value.

[0053] In one embodiment, the target weight value corresponding to the target influencing factor of the target fermentation batch is determined by the following method: Among them, A i is the target weight value corresponding to the target influencing factor of the target fermentation batch, π is the pi, arctan is the arctangent function, z i is the value of the target influencing factor of the target fermentation batch, z i+1 and z i-1 are respectively the next and the previous values of the value of the target influencing factor of the target fermentation batch, w i is the vinegar fermentation efficiency corresponding to the value of the target influencing factor of the target fermentation batch in the target corresponding relationship; w i+1 and w i-1They are respectively the acetic acid fermentation efficiency corresponding to the value immediately after and the value immediately before the value of the target influencing factor for the target fermentation batch in the target correspondence relationship.

[0054] For example, in the case where the target influencing factor is the temperature value, if the temperature value of the target fermentation batch is 260 °C and the other influencing factors in the target correspondence relationship are the same except for the temperature value, the acetic acid fermentation efficiency corresponding to 259 °C, the acetic acid fermentation efficiency corresponding to 260 °C, and the acetic acid fermentation efficiency corresponding to 261 °C can be obtained respectively in the target correspondence relationship, and the acetic acid fermentation efficiencies corresponding to two adjacent temperature values among the three adjacent temperature values are compared, so as to reflect the influence degree of the temperature value of the target fermentation batch on the acetic acid fermentation efficiency.

[0055] Through the absolute value operation, it can be ensured that the value of the arctangent function is greater than 0. Through the cooperation of the arctangent function and 2 / π, the comparison result can be normalized to the range of 0 to 1, which is convenient for comparing the weight values of different fermentation batches.

[0056] In this way, by comparing the adjacent values of the value of the target influencing factor for the target fermentation batch and comparing the acetic acid fermentation efficiencies corresponding to the adjacent values of the value of the target influencing factor for the target fermentation batch, the target weight value can better reflect the influence of the target influencing factor on the acetic acid fermentation efficiency.

[0057] In step S104, using the first weight value and the second weight value, the weighted distance between the target data point and multiple other data points closest in the data space is determined, and based on the weighted distance between the target data point and the multiple other data points closest, the density value of the target data point is obtained.

[0058] Since the first weight value is used to represent the influence degree of the temperature value on the raw material conversion rate, and the second weight value is used to represent the influence degree of the pH value on the raw material conversion rate, using the first weight value and the second weight value to determine the weighted distance between the target data point and multiple other data points closest in the data space can comprehensively consider the influence degrees of the temperature value and the pH value on the acetic acid fermentation efficiency, and can reflect the difference in the influence degrees of the two influencing factors on the raw material conversion rate.

[0059] Since the weighted distance is obtained based on the first weight value and the second weight value, the obtained weighted distance can reflect the difference in the influence degrees of the temperature value and the pH value on the raw material conversion rate, so as to better analyze the clustering or isolation of the target data point from the reference data point in the data space.

[0060] In one embodiment, using the first weight value and the second weight value to determine the weighted distance between the target data point and multiple other data points closest in the data space includes: D a is the weighted distance between the target data point and the a-th nearest other data point in the data space, t1 is the first weight value, and t2 is the second weight value. is the difference in temperature values between the target data point and the a-th nearest other data point in the data space. is the difference in pH values between the target data point and the a-th nearest other data point in the data space.

[0061] For example, can be the square of the difference in temperature values between the temperature value of the target data point and the a-th nearest other data point in the data space. can be the square of the difference in pH values between the pH value of the target data point and the a-th nearest other data point in the data space.

[0062] In the calculation formula of the weighted distance, the differences in temperature values and pH values between the target data point and the nearest other data points in the data space are considered.

[0063] In this way, using the first weight value and the second weight value, the weighted distance between the target data point and multiple nearest other data points in the data space is determined. The weighted distance takes into account the influence degrees of temperature values and pH values on the raw material conversion rate, so that the difference between the target data point and other data points reflected by the weighted distance can better reflect the difference in the raw material conversion rate.

[0064] In one embodiment, according to the weighted distance between the target data point and multiple nearest other data points in the data space, obtaining the density value of the target data point includes: M is the density value of the target data point, norm is the normalization processing function, K is the preset number, and D a is the weighted distance between the target data point and the a-th nearest other data point in the data space.

[0065] The number of other data points to be compared with the target data point can be specified in advance. For example, the preset number can be 6. Determine the 6 data points in the space that are nearest to the target data point, and determine the weighted distances from the target data point to these 6 data points respectively.

[0066] The smaller the average value of the weighted distances from the target data point to multiple nearest reference data points in the data space, the more clustered the target data point and multiple nearest reference data points in the data space are, and the less likely the reaction process of the target fermentation batch corresponding to the target data point is abnormal. Therefore, the smaller the average value of the weighted distances from the target data point to multiple nearest reference data points in the data space, the larger the density value of the target data point, and the lower the probability that the reaction process of the target fermentation batch corresponding to the target data point is abnormal.

[0067] In this way, the reciprocal of the average of the weighted distances from the target data point to multiple nearest reference data points in the data space is used as the density value of the target data point. The density value can better reflect the probability that the target fermentation batch has no abnormality.

[0068] In one embodiment, obtaining the density value of the target data point according to the weighted distance between the target data point and multiple other nearest data points in the data space includes: M is the density value of the target data point, norm is the normalization processing function, K is the preset number, and exp is the exponential function with the natural constant as the base; m a is the initial density value of the a-th other data point closest to the target data point in the data space. The initial density value is used to characterize the aggregation degree of the a-th other data point and other data points within the neighborhood range of the a-th other data point in the data space. D a is the weighted distance between the target data point and the a-th other data point closest to the target data point in the data space.

[0069] For a specified data point closest to the target data point in the data space, the initial density value of the specified data point can characterize the aggregation degree of the data points within the neighborhood range where the specified data point is located.

[0070] The specified data point is the data point closest to the target data point, but the target data point is not necessarily the data point closest to the specified data point in the data space. Through the initial density value of the specified data point, the probability that the specified data point belongs to a non-abnormal data point can be characterized.

[0071] In this way, by considering the initial density values of other data points closest to the target data point in the data space, in addition to comparing the target data point with multiple other nearest data points in the data space, the probability that the other data points used for comparison with the target data point belong to non-abnormal data points can also be considered. Therefore, the obtained density value of the target data point can better characterize the probability that the target data point belongs to a non-abnormal data point.

[0072] In step S105, when the density value is outside the preset density range, a prompt message is output.

[0073] Data points located at different positions in the data space correspond to fermentation batches with different temperature values or pH values. During the fermentation process of the vinegar raw materials, the monitoring data or historical monitoring data corresponding to the normal reaction process are within a certain distribution range, so that the data points corresponding to the normal reaction process will not be too concentrated, and the data points corresponding to the normal reaction process will not be too isolated. Therefore, the density value is usually within a certain density range.

[0074] By comparing the density value with a preset density range, if the density value is within the preset density range, it indicates that the difference in temperature value and pH value between the target data point corresponding to the target fermentation batch and the multiple nearest reference data points in the data space is within the allowable range. Therefore, it shows that the reaction process of the target fermentation batch is close to the reaction processes of the historical fermentation batches corresponding to the reference data points, and there is no abnormality in the reaction process of the vinegar raw materials in the target fermentation batch.

[0075] In the case where the density value is outside the preset density range, it indicates that the reaction performance of the target fermentation batch exceeds the allowable range. By outputting a prompt message, it can prompt the supervisor to check the situation of the production container; the prompt message can be used to indicate that there is an abnormality in the reaction process of the vinegar raw materials in the target fermentation batch.

[0076] The prompt message can be at least one of a text prompt message, a vibration prompt message, a light prompt message, and an audio prompt message.

[0077] In one embodiment, the preset density range is determined in the following manner: obtain the density values of the reference data points corresponding to the historical monitoring data, and determine the average value and standard deviation of the multiple density values corresponding to the multiple reference data points; according to the average value and standard deviation of the multiple density values, respectively determine the upper limit value and the lower limit value of the preset density range to obtain the preset density range.

[0078] For example, referring to the determination process of the density value of the target data point, the density values of the reference data points corresponding to the historical monitoring data can be obtained; determine the average value μ and standard deviation σ of the multiple density values corresponding to the multiple reference data points; μ - σ can be used as the lower limit of the preset density range, and μ + σ can be used as the upper limit of the preset density range.

[0079] Alternatively, μ - 2σ can be used as the lower limit of the preset density range, and μ + 2σ can be used as the upper limit of the preset density range; the upper limit value and the lower limit value of the preset density range can be adaptively set according to actual requirements, and the selection of the allowable distribution interval of the density value in the embodiments of the present application is not limited.

[0080] Through the intelligent vinegar fermentation tank metering and monitoring system provided by the embodiments of the present application, using the first weight value and the second weight value, the weighted distance between the target data point and multiple other nearest data points in the data space is determined, so as to obtain the density value of the target data point. Since the density value is obtained based on the weighted distance, and the weighted distance is obtained based on the first weight and the second weight, and different weights respectively represent the influence degrees of the temperature value and the pH value on the vinegar fermentation efficiency. Therefore, the density value can effectively represent the probability that the production of the target fermentation batch of the vinegar raw material is normal. In the case where the density value is outside the preset density range, a prompt message is output, which can effectively realize the monitoring of the vinegar fermentation process.

[0081] It should be understood that unless otherwise specifically stated, the features of some embodiments of the present application described herein can be combined with each other.

[0082] Although terms such as "first", "second", and "third" may be used herein to describe various components, parts, regions, layers, or sections, these components, parts, regions, layers, or sections are not limited to these terms. On the contrary, these terms are only used to distinguish one component, part, region, layer, or section from another component, part, region, layer, or section. Therefore, without departing from the teachings of the examples, the first component, part, region, layer, or section mentioned in the examples described herein can also be referred to as the second component, part, region, layer, or section.

[0083] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of these features. In the description herein, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0084] In addition, the word "exemplary" is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as "exemplary" is not necessarily understood to be advantageous compared to other aspects or designs. On the contrary, the use of the word exemplary is intended to present concepts in a specific manner. As used herein, the term "or" is intended to mean an inclusive "or" rather than an exclusive "or".

[0085] Likewise, although the present application has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art upon reading and understanding the specification and drawings. In particular, with respect to the various functions performed by the components (e.g., elements, resources, etc.) described above, unless otherwise indicated, the terms used to describe such components are intended to correspond to any component (functionally equivalent) that performs the specific function of the described component, even if not structurally equivalent to the disclosed structure.

[0086] In addition, although specific features of the present application may have been disclosed with respect to only one of several implementations, such features may, as may be desired and advantageous for any given or particular application, be combined with one or more other features of other implementations.

[0087] Other embodiments of the present application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. The present application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include known common general knowledge or conventional technical means in the technical field not disclosed in the present application. The specification and examples are to be considered exemplary only.

[0088] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes may be made without departing from its scope.

Claims

1. An intelligent vinegar fermentation tank metering monitoring system, characterized in that: is configured to perform the following steps: Obtaining monitoring data of the interior of a vinegar production container in a target fermentation batch; the monitoring data includes temperature and pH value; Mapping the monitoring data of the target fermentation batch into a pre-constructed data space to obtain target data points; The data space includes multiple reference data points corresponding to historical monitoring data; Obtaining a first weight value and a second weight value; the first weight value is used to characterize the degree of influence of the temperature value of the target fermentation batch on the vinegar fermentation efficiency; The second weight value is used to characterize the influence of the pH value of the target fermentation batch on the vinegar fermentation efficiency; Determine a weighted distance between the target data point and multiple other nearest data points in the data space by using the first weight value and the second weight value, and obtain a density value of the target data point according to the weighted distance between the target data point and multiple other nearest data points; When the density value is outside the preset density range, a prompt message is output; the prompt message is used to indicate that there is an abnormality in the production process of the target fermentation batch of vinegar.

2. The intelligent vinegar fermentation tank metering and monitoring system according to claim 1 is characterized in that: Determining a weighted distance between a target data point and a plurality of other nearest data points in a data space by using the first weight value and the second weight value includes: D a is the weighted distance between the target data point and the nearest a-th other data point in the data space, t1 is the first weight value, t2 is the second weight value, is the difference in temperature between the target data point and the ath nearest data point in the data space, is the difference in pH value between the target data point and the ath nearest other data point in the data space.

3. The intelligent vinegar fermentation tank metering and monitoring system according to claim 1 is characterized in that: The first weight value or the second weight value is obtained by: Obtaining a target corresponding relationship determined according to a reference fermentation batch, wherein the target corresponding relationship is used to characterize a corresponding relationship between a target influencing factor and vinegar fermentation efficiency; the reference fermentation batch and the target fermentation batch are identical in other influencing factors except the target influencing factor; Determine the target weight value corresponding to the target influencing factor of the target fermentation batch according to the value of the target influencing factor of the target fermentation batch and the target corresponding relationship; The target influencing factor is any one of a temperature value and a pressure value; and the target weight value is a weight value of the first weight value and the second weight value corresponding to the target influencing factor.

4. The intelligent vinegar fermentation tank metering and monitoring system according to claim 3 is characterized in that: The target weight values ​​corresponding to the target influencing factors of the target fermentation batch are determined in the following way: Among them, A i is the target weight value corresponding to the target influencing factor of the target fermentation batch, π is the pi, arctan is the inverse tangent function, z i is the value of the target fermentation batch under the target influencing factor, z i+1 and z i-1 are the next and previous values ​​of the target fermentation batch in the target influencing factor, respectively, w i is the vinegar fermentation efficiency corresponding to the target fermentation batch in the target influencing factor value in the target corresponding relationship; w i+1 and w i-1 They are respectively the next and previous values ​​of the target fermentation batch in the target influencing factor, and the corresponding vinegar fermentation efficiency in the target corresponding relationship.

5. The intelligent vinegar fermentation tank metering and monitoring system according to claim 1 is characterized in that: The density value of the target data point is obtained based on the weighted distance between the target data point and multiple other nearest data points in the data space, including: M is the density value of the target data point, norm is the normalization function, K is the preset number, and D a is the weighted distance between the target data point and the ath nearest other data point in the data space.

6. The intelligent vinegar fermentation tank metering and monitoring system according to claim 1 is characterized in that: The density value of the target data point is obtained based on the weighted distance between the target data point and multiple other nearest data points in the data space, including: M is the density value of the target data point, norm is the normalization function, K is the preset number, and exp is the exponential function with a natural constant as the base; m a is the initial density value of the ath other data point closest to the target data point in the data space. The initial density value is used to characterize the degree of aggregation between the ath other data point and other data points in the neighborhood of the ath other data point in the data space. a is the weighted distance between the target data point and the ath nearest other data point in the data space.

7. The intelligent vinegar fermentation tank metering and monitoring system according to claim 1 is characterized in that: The data space is constructed in the following way: A plane rectangular coordinate system is created by using temperature values ​​and pH values ​​as different dimensions, and multiple historical monitoring data of the interior of the production container in multiple historical fermentation batches are obtained; The temperature value and pH value of the historical monitoring data are used as the horizontal coordinate and the vertical coordinate of the plane rectangular coordinate system respectively, and the reference data points corresponding to the historical monitoring data in the plane rectangular coordinate system are obtained to obtain the data space.

8. The intelligent vinegar fermentation tank metering and monitoring system according to claim 1 is characterized in that: The preset density range is determined as follows: Obtain density values ​​of reference data points corresponding to historical monitoring data, and determine average values ​​and standard deviations of multiple density values ​​corresponding to multiple reference data points; According to the average value and the standard deviation of the plurality of density values, an upper limit value and a lower limit value of the preset density range are respectively determined to obtain the preset density range.

Images