A comprehensive assessment method for resource and environmental carrying capacity of brewing areas

Abstract

The invention discloses a comprehensive assessment method for the resource and environmental carrying capacity of a brewing area, relates to the field of resource management, and is used to solve the problem that a simple analysis of the macro environment cannot accurately assess the risks existing in the resource and environmental carrying capacity of the current brewing environment. A data analysis model is established based on flora characteristic information, resource characteristic information, and resource and environmental carrying capacity to generate a carrying assessment coefficient, which is compared with a carrying threshold. A ratio calculation is performed by calculating the degree of change of the carrying assessment coefficient of each overload result and the change threshold. The carrying assessment coefficient of the first overloaded environment is added to the resource and environmental carrying capacity, and then a subtraction calculation is performed to obtain a resource and environmental overload value. A set of fuzzy rules is formulated for fuzzy reasoning to determine a production efficiency adjustment plan, balance production capacity and resource consumption, avoid macro factors in traditional resource and environmental carrying capacity monitoring, improve the sustainability of product production, and meet local resource and environmental carrying capacity.

Description

Technical Field

[0001] The present invention relates to the field of resource management, and more specifically, to a comprehensive evaluation method for resource and environmental carrying capacity of a brewing area. Background Art

[0002] In the Chishui River Basin and other brewing industry clusters, with the development of traditional fermentation industries such as liquor, the issue of resource and environmental carrying capacity has become increasingly prominent. Resource and environmental carrying capacity refers to the maximum ability to support economic and human activities in a specific area within a certain time frame without destroying the function of the ecosystem.

[0003] The prior art has the following deficiencies:

[0004] At present, there is no relatively complete set of specifications to define the resource and environmental carrying capacity assessment system. In addition, there are many factors affecting the resource and environmental carrying capacity, especially in the brewing area, where there are multiple brewing tanks. Simple analysis of the macro environment cannot accurately assess the risks of the current brewing environment resource and environmental carrying capacity, and at the same time, it is impossible to accurately predict and control production efficiency. Therefore, a comprehensive assessment method for the resource and environmental carrying capacity of the brewing area is proposed.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a comprehensive assessment method for the resource and environmental carrying capacity of a brewing area, which solves the problems raised in the above-mentioned background technology by using different product inspection methods.

[0007] To achieve the above object, the present invention provides the following technical solution, a method for comprehensively evaluating the resource and environmental carrying capacity of a brewing area, comprising:

[0008] S1: Collect the bacterial flora characteristic information and resource characteristic information in the brewing environment, and obtain the bacterial flora quantity change rate, bacterial flora distribution aggregation degree difference, current oxygen concentration decrease and current pH change frequency through data processing; at the same time, collect the geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity and perform weighted calculation to obtain the resource environment carrying capacity;

[0009] S2: Obtain the change rate of bacterial population, the difference in bacterial population distribution and aggregation, the current oxygen concentration drop, the current pH change frequency and the resource and environmental carrying capacity, establish a data analysis model, and generate the carrying capacity assessment coefficients at all time points in multiple brewing environments;

[0010] S3: Obtain the load assessment coefficients of multiple brewing environments, and compare them with the load threshold to generate overload and non-overload results, calculate the ratio of the load assessment coefficient change degree of each overload result to the change threshold, if the ratio of the change degree greater than or equal to the change threshold exceeds the first set value, it is marked as the first overload environment, and the resource environment overload value is obtained by adding the load assessment coefficient of the first overload environment to the resource environment carrying capacity, and then subtracting them;

[0011] S4: Acquire the first overload environment and the resource environment overload value, and obtain the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment;

[0012] S5: Obtain the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment, and use fuzzy logic to determine the production efficiency adjustment result.

[0013] In a preferred embodiment, the bacterial flora characteristic information includes the bacterial flora quantity change rate and the difference in bacterial flora distribution and aggregation degree; the resource characteristic information includes the current oxygen concentration drop and the current pH change frequency;

[0014] The microbial DNA sequences in the samples were analyzed by high-throughput gene sequencing technology to infer the number and composition of the bacterial community. The bacterial community number at the current collection time point was subtracted from the bacterial community number at the previous collection time point, and then the ratio was calculated to obtain the bacterial community number change rate. ; g represents the g-th brewing tank or brewing pool, i represents the i-th time point;

[0015] K-means clustering is used to process the collected bacterial population distribution data, determine the degree of spatial distribution and aggregation of the bacterial population, compare the actual distribution and aggregation degree of the bacterial population with the common or ideal distribution and aggregation degree of the bacterial population, and calculate the difference in the distribution and aggregation degree of the bacterial population. ;

[0016] Subtract the oxygen concentration value at the current time point from the oxygen concentration value collected at the previous time point to get the current oxygen concentration drop ;

[0017] Subtract the pH value at the previous time point from the current pH value collected and divide by the time interval to get the current pH change frequency. ;

[0018] The geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity are set through the technical requirements of land resources and environmental carrying capacity assessment, and the resource and environmental carrying capacity is obtained through weighted calculation. .

[0019] In a preferred embodiment, the bacterial population change rate is obtained. , Differences in bacterial distribution and aggregation 、Current oxygen concentration decrease , Current PH change frequency and resource and environmental carrying capacity , generate the load assessment factor , based on the formula:

[0020]

[0021] In the formula, is the load assessment factor, , , , as well as They are respectively the rate of change of bacterial population, the difference in the degree of bacterial population distribution and aggregation, the current decrease in oxygen concentration, the current frequency of pH change, and the preset proportional coefficient of resource and environmental carrying capacity, and , , , as well as Both are greater than 0.

[0022] In a preferred embodiment, if the load assessment coefficient is greater than or equal to the load threshold, the brewing environment corresponding to the current time point is marked as overloaded, and an overload result is generated;

[0023] If the load assessment coefficient is less than the load threshold, the brewing environment corresponding to the current time point is marked as normal, and a non-overload result is generated.

[0024] In a preferred embodiment, the load assessment coefficients of each overload result in each brewing environment are counted to obtain the number of load assessment coefficients of the overload results, and are marked as f, where f is the load assessment coefficient of the fth overload result; then the formula is used to calculate Obtain the variation degree of the load assessment coefficient of each overload result in a brewing environment;

[0025] Wherein, g is the g-th brewing environment, and g change degrees are obtained, and the g change degrees are compared with the change threshold;

[0026] The degree of change greater than or equal to the change threshold is statistically calculated to obtain the number of degrees of change greater than or equal to the change threshold, and the number of degrees of change greater than or equal to the change threshold is ratio-calculated to g degrees of change. If the number of degrees of change greater than or equal to the change threshold is greater than a first set value, the degree of change greater than or equal to the change threshold is calibrated as a first overload environment;

[0027] The resource and environment carrying capacity is subtracted from the sum of the carrying assessment coefficient of the first overload environment to obtain the resource and environment overload value.

[0028] In a preferred embodiment, the production speed of the brewing environment covered by the first overload environment is obtained based on the comparison of the product output and the total fermentation time in the first overload environment at each time point;

[0029] The resource and environmental consumption value of the brewing environment covered in the first overload environment is obtained by collecting and adding up the water resource consumption, oxygen consumption, temperature and energy consumption, and raw material consumption.

[0030] In a preferred embodiment, the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment are defined as input variables, which are respectively divided into different fuzzy sets;

[0031] The adjustment results of production efficiency are defined as output variables and divided into fuzzy sets;

[0032] Formulate fuzzy rules to describe the impact of the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment on the production efficiency adjustment result;

[0033] Perform fuzzy reasoning based on fuzzy rules to determine the production efficiency adjustment results.

[0034] Technical effects and advantages of the present invention:

[0035] 1. The present invention collects flora characteristic information, resource characteristic information and resource and environmental carrying capacity in a brewing environment, and establishes a data analysis model to generate a carrying assessment coefficient at all time points in multiple brewing environments, and compares it with a carrying threshold to generate overloaded and non-overloaded results. The ratio of the carrying assessment coefficient change degree of each overload result to the change threshold is calculated. If the ratio of the degree of change greater than or equal to the change threshold exceeds a first set value, it is marked as a first overloaded environment. The carrying assessment coefficient of the first overloaded environment is added to the resource and environmental carrying capacity, and then subtracted to obtain the resource and environmental overload value, thereby avoiding the macro factors of traditional resource and environmental carrying capacity detection, reducing calculation errors, and promptly discovering situations where the resource and environmental carrying capacity cannot be met.

[0036] 2. The present invention formulates a set of fuzzy rules for fuzzy reasoning through the production speed of the brewing environment covered in the first overload environment and the resource and environmental consumption value of the brewing environment covered in the first overload environment, determines the production efficiency adjustment plan, balances production capacity and resource consumption, improves the sustainability of product production and meets the local resource and environmental carrying capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 The present invention is a method flow chart of a method for comprehensively evaluating the resource and environmental carrying capacity of a brewing area. DETAILED DESCRIPTION

[0038] 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.

[0039] The present invention evaluates the current resource and environmental carrying intensity by collecting data on changes in the number of bacterial communities, the proportion of bacterial distribution, and resource consumption in the brewing environment for comprehensive analysis, and then analyzes the current resource and environmental carrying capacity status by comparing the geological environment carrying capacity, groundwater resource carrying capacity, and mineral resource carrying capacity with the current resource and environmental carrying intensity.

[0040] Example 1

[0041] See also Figure 1 , a comprehensive assessment method for the resource and environmental carrying capacity of brewing areas, the specific operation process is as follows:

[0042] S1: Collect the bacterial flora characteristic information and resource characteristic information in the brewing environment, and obtain the bacterial flora quantity change rate, bacterial flora distribution aggregation degree difference, current oxygen concentration decrease and current pH change frequency through data processing; at the same time, collect the geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity and perform weighted calculation to obtain the resource environment carrying capacity;

[0043] The brewing environment refers to a brewing tank or brewing pool for producing brewed products, wherein the brewing environment includes multiple brewing tanks or brewing pools; setting a collection time point, for example, testing at the beginning of brewing, as the brewing time increases, those skilled in the art can set the time point for collecting data based on "one hour", "three hours" and the fermentation period of the brewed product, and there is no limitation on this;

[0044] Specifically, the bacterial community characteristic information includes the bacterial community population change rate and the difference in bacterial community distribution and aggregation degree; the resource characteristic information includes the current oxygen concentration drop and the current pH change frequency;

[0045] Among them, the bacterial population change rate refers to the change in the number of bacterial populations at different time points during the brewing process. Its acquisition logic is to analyze the microbial DNA sequence in the sample through high-throughput gene sequencing technology, thereby inferring the number and composition of the bacterial population, and calculating the bacterial population change rate through the formula:

[0046]

[0047] In the formula, is the bacterial population change rate, is the number of bacterial colonies at the current collection time point, is the number of bacterial colonies at the last sampling time point, where g represents the g-th brewing tank or brewing pool, and i represents the i-th time point;

[0048] Among them, high-throughput gene sequencing technology refers to the ability to simultaneously determine the sequences of a large number of DNA fragments in a short period of time, which is used to analyze the bacterial community structure during the fermentation process; specifically, the genomic DNA is randomly cut into small fragments, and specific adapters are connected to the two ends of each DNA fragment. The DNA fragments connected to the adapters are amplified by polymerase chain reaction technology, and the sequencer is used to splice and align the obtained short fragment sequences according to the base sequence of the DNA fragments through bioinformatics tools to reconstruct the original DNA sequence;

[0049] It should be noted that the present application analyzes the current resource and environmental carrying strength by observing the change rate and distribution ratio of a certain type of bacterial community. In fact, multiple types of bacterial communities can be collected to strengthen the experimental results. For example, by observing yeast, it can be observed that in the early stage of fermentation, the number of yeast is small. As the fermentation proceeds, the sugar content increases and the number of yeast increases rapidly. Personnel in the art can understand that yeast is more active in the upper layer of the fermentation liquid in an environment with sufficient oxygen, but in the later stage of fermentation, as the oxygen concentration decreases, the yeast activity decreases and the number gradually decreases. Therefore, the change rate of the number of common yeasts in the brewing process and the change rate of the number of bacterial communities at the current g-th brewing tank or brewing pool at the i-th time point are compared to evaluate the current resource and environmental carrying strength. There is no limitation on the number of selected bacterial communities, but it is implemented by the experimenters according to the specific implementation situation.

[0050] Specifically, local resource and environmental factors have a profound impact on the brewing environment. For example, water quality and groundwater flow through different underground mineral resources, which leads to changes in water quality, and changes in water quality will lead to changes in the brewing environment, and changes in the brewing environment will affect the activity of the flora and its survival time. I will not go into details here.

[0051] The difference in the degree of clustering of bacterial flora distribution refers to the difference between the spatial distribution density and concentration of the bacterial flora in the brewing environment and the common degree of clustering of bacterial flora distribution in the brewing process, which reflects whether the distribution of the bacterial flora in different spaces is uniform or concentrated in certain specific areas. The acquisition logic is to collect bacterial flora data in the brewing environment at set time points and multiple locations, and then establish the common degree of clustering of bacterial flora distribution in the brewing process. K-means clustering is used to process the collected bacterial flora distribution data to determine the degree of spatial distribution and clustering of the bacterial flora. The actual bacterial flora distribution is compared with the common or ideal degree of clustering of bacterial flora distribution, and the difference in the degree of clustering of bacterial flora distribution is calculated. ;

[0052] Among them, a common flora distribution model in the brewing process is established. The model can be based on historical data or best practice results in the literature and is relatively uniform or presents a certain expected spatial aggregation pattern, which will not be elaborated here;

[0053] Specifically, K-means clustering is a spatial clustering analysis method that divides data points into K clusters so that the data points in the same cluster are as similar as possible, while the points between different clusters are as different as possible; its implementation steps are:

[0054] Step A1: Assume there are n data points in space , each data point has its spatial coordinates, determines the data points to be divided into k clusters, and randomly selects k initial centroids ; For each data point, calculate the distance from each data point to each centroid, and assign each data point to the cluster to which the centroid with the smallest distance belongs; Specifically, the above distance metric is the Euclidean distance, and the formula is:

[0055] ;

[0056] In the formula, Yes The coordinates in the kth dimension, is the centroid In the k-th dimension, m is the dimension of the space, that is, the coordinate dimension of each data point and centroid;

[0057] Step A2: For each cluster, recalculate the centroid of all data points in the cluster (i.e., the average value of the coordinates of all data points) to obtain a new centroid ; The specific formula is:

[0058]

[0059] In the formula, are all the data points currently belonging to cluster j, is the number of points in cluster j;

[0060] Step A3: Repeat the cluster distance calculation and step A2 until the position of the centroid no longer changes significantly or reaches a preset number of iterations;

[0061] Step A4: Compare the actual bacterial population distribution with the common or ideal bacterial population distribution model to calculate the difference in the degree of bacterial population distribution aggregation ;

[0062] The above method is applicable to multi-microbial environments, especially complex brewing environments with high microbial diversity. The preset number of iterations is set by the experimenter based on historical data or professional literature, and will not be elaborated here.

[0063] The logic for obtaining the current oxygen concentration drop is to install a dissolved oxygen sensor in the brewing tank or brewing pool, collect oxygen concentration data at the corresponding time point, record the oxygen concentration value, and subtract the oxygen concentration value at the current time point from the oxygen concentration value at the previous time point to obtain the current oxygen concentration drop. ;

[0064] The dissolved oxygen sensor is a device for measuring the oxygen content in a liquid, and is usually used to detect the oxygen concentration in water or during fermentation. The dissolved oxygen sensor can be installed based on the location where the flora data in the brewing environment is collected, or based on historical data, without limitation.

[0065] The logic for obtaining the current PH change frequency is to collect and analyze the PH value of the brewing material in the brewing environment according to the time point. The current PH change frequency is obtained by subtracting the PH value at the previous time point from the current PH value and dividing it by the time interval. ;

[0066] It should be noted that the parameters such as the initial temperature, initial humidity, initial oxygen concentration and initial pH value of the brewing tank or brewing pool are all set by technicians in this field before fermentation according to the operation requirements. Therefore, the initial temperature, initial humidity, initial oxygen concentration and initial pH value are not brought into the calculation of this application as variable adjustments, which avoids interference with the experiment and makes the evaluation more focused on the impact of local resources and environment on the brewing process without being interfered by human factors, which can more accurately reflect the carrying capacity of resources and environment;

[0067] Among them, the geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity are set according to the Technical Requirements for the Evaluation of the Environmental Carrying Capacity of Land and Resources (General Office of the Ministry of Land and Resources, 2016, 2019, 2020). Specifically, the geological environment carrying capacity evaluation is divided into geological environment safety and agricultural ecological environment, and the evaluation indicators are quantitative indicators that can be obtained continuously. The comprehensive index method is used to evaluate the geological environment background and status, and the proposed formula is as follows:

[0068]

[0069] Where R is the geological environment bearing background (state) score; is the evaluation factor score; is the evaluation factor weight, p is the total number of evaluation factors, and l is the current evaluation factor number;

[0070] In this application, the groundwater resource carrying capacity is reflected by the groundwater resource recharge modulus index. The carrying capacity is reflected by the groundwater resource exploitation degree. The groundwater resource exploitation degree refers to the ratio of groundwater development and utilization to the groundwater exploitable resources to obtain the groundwater resource carrying capacity. ;

[0071] The evaluation of the mineral resource carrying capacity is based on a comprehensive indicator (mining development index ) reflects the overall situation of the suitability of exploitable mineral resources in the evaluation area. Including the contribution of mining to the local GDP ( ), employment driven by mining ( ), the total area destroyed by mining development accounts for ( ), the total waste discharge ( ) four aspects. Based on the comprehensive evaluation, the mining development index ( ), ≥75 is surplus, 50-75 is balanced, and <50 is overloaded. The calculation formula is as follows:

[0072]

[0073] Specifically, the logic for obtaining the above-mentioned geological environment carrying capacity, groundwater resource carrying capacity, and mineral resource carrying capacity are all evaluation requirements for resource and environmental carrying capacity formulated by existing technologies or existing national policies, and will not be elaborated here;

[0074] The resource and environmental carrying capacity is obtained by weighted calculation of the above geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity; the specific formula is:

[0075]

[0076] In the formula, For the carrying capacity of resources and environment, , as well as are the preset proportional coefficients of geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity, respectively, and , as well as All are greater than 0;

[0077] S2: Obtain the change rate of bacterial population, the difference in bacterial population distribution and aggregation, the current oxygen concentration drop, the current pH change frequency and the resource and environmental carrying capacity, establish a data analysis model, and generate the carrying capacity assessment coefficients at all time points in multiple brewing environments;

[0078] Get the bacterial population change rate , Differences in bacterial distribution and aggregation 、Current oxygen concentration decrease , Current PH change frequency and resource and environmental carrying capacity , generate the load assessment factor , based on the formula:

[0079]

[0080] In the formula, is the load assessment factor, , , , as well as They are respectively the rate of change of bacterial population, the difference in the degree of bacterial population distribution and aggregation, the current decrease in oxygen concentration, the current frequency of pH change, and the preset proportional coefficient of resource and environmental carrying capacity, and , , , as well as All are greater than 0;

[0081] Among them, the change rate of bacterial population, the difference in the degree of bacterial population distribution and aggregation, the current decrease in oxygen concentration, and the current frequency of pH changes are all data manifestations that directly express the current resource and environmental carrying capacity;

[0082] From the above formula, it can be seen that when the change rate of the bacterial population, the difference in the degree of aggregation of the bacterial population distribution, the current decrease in oxygen concentration and the current frequency of pH change are greater, it means that the current bacterial population has a high change in a certain time point. At the same time, there is an irregular distribution of the bacterial population and its aggregation is not high, and the oxygen concentration decreases rapidly and the pH value changes too high. The greater the carrying capacity, the smaller the carrying capacity.

[0083] S3: Obtain the load assessment coefficients of multiple brewing environments, and compare them with the load threshold to generate overload and non-overload results, calculate the ratio of the load assessment coefficient change degree of each overload result to the change threshold, if the ratio of the change degree greater than or equal to the change threshold exceeds the first set value, it is marked as the first overload environment, and the resource environment overload value is obtained by adding the load assessment coefficient of the first overload environment to the resource environment carrying capacity, and then subtracting them;

[0084] After obtaining the load assessment coefficient, compare and analyze the load assessment coefficient with the continuously iterated load threshold;

[0085] If the load assessment coefficient is greater than or equal to the load threshold, the brewing environment corresponding to the current time point is marked as overloaded, and an overload result is generated;

[0086] If the load assessment coefficient is less than the load threshold, the brewing environment corresponding to the current time point is marked as normal, and a non-overload result is generated;

[0087] Count the load assessment coefficients of each overload result in each brewing environment, obtain the number of load assessment coefficients of the overload results, and mark it as f, where f is the load assessment coefficient of the fth overload result; then calculate it by the formula Obtain the variation degree of the load assessment coefficient of each overload result in a brewing environment;

[0088] From the above, it can be seen that if g is the g-th brewing environment, then g change degrees are obtained, and the g change degrees are compared with the change threshold;

[0089] Among them, the change threshold and the load threshold are obtained by comprehensive analysis based on historical data and current load assessment coefficients;

[0090] The degree of change greater than or equal to the change threshold is statistically calculated to obtain the number of degrees of change greater than or equal to the change threshold, and the number of degrees of change greater than or equal to the change threshold is ratio-calculated to g degrees of change. If the number of degrees of change greater than or equal to the change threshold is greater than a first set value, the degree of change greater than or equal to the change threshold is calibrated as a first overload environment;

[0091] The first set value refers to a critical threshold value used to determine whether the brewing environment has reached an overload state. When the ratio of the degree of change to the load assessment coefficient is greater than the set value, the system considers that the brewing environment has entered an overload state. In fact, multiple set values ​​can be set to more finely assess the overload of the brewing environment. Usually, the experimenter sets it based on historical data and the trend of changes in the carrying capacity of the resource environment, which is not limited here.

[0092] Subtract the sum of the resource and environmental carrying capacity and the carrying assessment coefficient of the first overload environment to obtain the resource and environmental overload value;

[0093] Among them, the resource and environmental overload value refers to the specific value at which the current resource and environmental consumption value is greater than the resource and environmental carrying capacity, expressing the specific overload value of the current resource and environmental;

[0094] The present invention collects flora characteristic information, resource characteristic information and resource and environmental carrying capacity in a brewing environment, and establishes a data analysis model to generate a carrying assessment coefficient at all time points in multiple brewing environments, and compares the coefficient with a carrying threshold to generate overload and non-overload results. The ratio of the carrying assessment coefficient change degree of each overload result to the change threshold is calculated. If the ratio of the degree of change greater than or equal to the change threshold exceeds a first set value, it is marked as a first overloaded environment. The carrying assessment coefficient of the first overloaded environment is added to the resource and environmental carrying capacity, and then a subtraction calculation is performed to obtain the resource and environmental overload value, thereby avoiding the macro factors of traditional resource and environmental carrying capacity monitoring, reducing calculation errors, and timely discovering situations where the resource and environmental carrying capacity cannot be met.

[0095] Example 2

[0096] In Example 1 of the present invention, examples are given to illustrate the collection of flora characteristic information and resource characteristic information in the brewing environment, the collection of geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity, and weighted calculation to obtain resource and environmental carrying capacity, and a data analysis model is established to generate bearing assessment coefficients at all time points in multiple brewing environments, and compared with bearing thresholds to generate overload and non-overload results, and the ratio of the degree of change of the bearing assessment coefficient of each overload result is calculated to the change threshold. If the ratio of the degree of change greater than or equal to the change threshold exceeds the first set value, it is marked as the first overloaded environment, and the bearing assessment coefficient of the first overloaded environment is added to the resource and environmental carrying capacity, and then subtracted to obtain the operation strategy of the resource and environmental overload value; however, in Example 1, only how to find that the resource and environmental carrying capacity cannot be met is discussed, and how to adjust the production efficiency to achieve sustainable production while satisfying the local resource and environmental carrying capacity has not been explained; in response to the above problems, Example 2 of the present invention is further refined;

[0097] S4: Acquire the first overload environment and the resource environment overload value, and obtain the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment;

[0098] The logic for obtaining the production speed of the brewing environment covered by the first overload environment is to collect the changes of key parameters (such as temperature, humidity, pH value, oxygen concentration, etc.) in the brewing process in real time, and calculate the conversion rate of the fermented product at each time point in combination with the fermentation time. Usually, the production speed of the brewing environment covered by the first overload environment is obtained by comparing the product output and the total fermentation time in the first overload environment at each time point;

[0099] It should be noted that the product output at each time point refers to the product output at the time point described in the above Example 1, and the total fermentation time refers to the time required for the brew to ferment into the finished product;

[0100] The logic for obtaining the resource and environment consumption value of the brewing environment covered by the first overload environment is to obtain the resource and environment consumption value of the brewing environment covered by the first overload environment by collecting water resource consumption, oxygen consumption, temperature and energy consumption, and raw material consumption and adding them up;

[0101] Specifically, the resource consumption collection technology is usually obtained by using statistical methods or sensors. The first overload environment includes a plurality of brewing tanks or brewing pools as described in the above embodiment 1, which will not be described in detail here.

[0102] S5: Obtain the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment, and use fuzzy logic to determine the production efficiency adjustment result;

[0103] For example, "Fast", "Slow", and "Average" are high, medium, and low judgments on the production speed of the brewing environment covered by the first overload environment, and "High", "Low", and "Medium" are high, medium, and low judgments on the resource environment consumption value of the brewing environment covered by the first overload environment;

[0104] Formulate a set of fuzzy rules to describe the impact of different input variables on output variables. The definition of rules can be based on professional knowledge or obtained through data analysis and experiments. For example:

[0105] The production speed of the brewing environment covered by the first overload environment is marked as X, the resource environment consumption value of the brewing environment covered by the first overload environment is marked as U, and the production efficiency adjustment result is marked as C_results;

[0106] Then we can define:

[0107] Rule 1: IF (X is Fast) AND (U is High) THEN (C_results is High)

[0108] Rule 2: IF (U is Slow) AND (U is Low) THEN (C_results is Low) ...

[0109] Carry out fuzzy reasoning based on fuzzy rules to determine the production efficiency adjustment plan;

[0110] It should be noted that the division of fuzzy sets can be adjusted according to actual conditions. For example, although this embodiment takes three fuzzy sets as an example, it can actually be divided into more than three sets to facilitate better accurate adjustment according to different production speeds and resource consumption;

[0111] Further, for the production speed of the brewing environment covered by the first overload environment and the high, medium and low values ​​of the resource environment consumption of the brewing environment covered by the first overload environment, a threshold value can be set according to the actual situation for judgment. For example, when the production speed of the brewing environment covered by the first overload environment exceeds 62%, it is marked as "Fast", and when the resource environment consumption value of the brewing environment covered by the first overload environment is higher than 70%, it is marked as "High", etc., which will not be elaborated here;

[0112] The present invention formulates a set of fuzzy rules for fuzzy reasoning through the production speed of the brewing environment covered in the first overload environment and the resource and environmental consumption value of the brewing environment covered in the first overload environment, determines the production efficiency adjustment plan, balances production capacity and resource consumption, improves the sustainability of product production and meets the local resource and environmental carrying capacity.

[0113] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0114] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0115] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0116] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0118] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0119] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0120] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0121] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0122] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A comprehensive assessment method for the resource and environmental carrying capacity of a brewing area, characterized by: include: S1: Collect the bacterial flora characteristic information and resource characteristic information in the brewing environment, and obtain the bacterial flora quantity change rate, bacterial flora distribution aggregation degree difference, current oxygen concentration decrease and current pH change frequency through data processing; at the same time, collect the geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity and perform weighted calculation to obtain the resource environment carrying capacity; S2: Obtain the change rate of bacterial population, the difference in bacterial population distribution and aggregation, the current oxygen concentration drop, the current pH change frequency and the resource and environmental carrying capacity, establish a data analysis model, and generate the carrying capacity assessment coefficients at all time points in multiple brewing environments; S3: Obtain the load assessment coefficients of multiple brewing environments, and compare them with the load threshold to generate overload and non-overload results, calculate the ratio of the load assessment coefficient change degree of each overload result to the change threshold, if the ratio of the change degree greater than or equal to the change threshold exceeds the first set value, it is marked as the first overload environment, and the resource environment overload value is obtained by adding the load assessment coefficient of the first overload environment to the resource environment carrying capacity, and then subtracting them; S4: Acquire the first overload environment and the resource environment overload value, and obtain the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment; S5: Obtain the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment, and use fuzzy logic to determine the production efficiency adjustment result; The bacterial community characteristic information includes the bacterial community population change rate and the difference in the degree of bacterial community distribution and aggregation; Resource characteristic information includes the current oxygen concentration drop and the current pH change frequency; The microbial DNA sequences in the samples were analyzed by high-throughput gene sequencing technology to infer the number and composition of the bacterial community. The bacterial community number at the current collection time point was subtracted from the bacterial community number at the previous collection time point, and then the ratio was calculated to obtain the bacterial community number change rate. ; g represents the g-th brewing tank or brewing pool, i represents the i-th time point; K-means clustering is used to process the collected bacterial population distribution data, determine the degree of spatial distribution and aggregation of the bacterial population, compare the actual distribution and aggregation degree of the bacterial population with the common or ideal distribution and aggregation degree of the bacterial population, and calculate the difference in the distribution and aggregation degree of the bacterial population. ; Subtract the oxygen concentration value at the current time point from the oxygen concentration value collected at the previous time point to get the current oxygen concentration drop ; Subtract the pH value at the previous time point from the current pH value collected and divide by the time interval to get the current pH change frequency. ; The geological environment carrying capacity, groundwater resource carrying capacity and mineral resource carrying capacity are set through the technical requirements of land resources and environmental carrying capacity assessment, and the resource and environmental carrying capacity is obtained through weighted calculation. ; Get the bacterial population change rate , Differences in bacterial distribution and aggregation 、Current oxygen concentration decrease , Current pH change frequency and resource and environmental carrying capacity , generate the load assessment factor , based on the formula: ； In the formula, is the load assessment factor, , , , as well as They are respectively the rate of change of bacterial population, the difference in the degree of bacterial population distribution and aggregation, the current decrease in oxygen concentration, the current frequency of pH change, and the preset proportional coefficient of resource and environmental carrying capacity, and , , , as well as All are greater than 0; If the load assessment coefficient is greater than or equal to the load threshold, the brewing environment corresponding to the current time point is marked as overloaded, and an overload result is generated; If the load assessment coefficient is less than the load threshold, the brewing environment corresponding to the current time point is marked as normal, and a non-overload result is generated; Count the load assessment coefficients of each overload result in each brewing environment, obtain the number of load assessment coefficients of the overload results, and mark it as f, where f is the load assessment coefficient of the fth overload result; then calculate it by the formula Obtain the variation degree of the load assessment coefficient of each overload result in a brewing environment; Wherein, g is the g-th brewing environment, and g change degrees are obtained, and the g change degrees are compared with the change threshold; The degree of change greater than or equal to the change threshold is statistically calculated to obtain the number of degrees of change greater than or equal to the change threshold, and the number of degrees of change greater than or equal to the change threshold is ratio-calculated to g degrees of change. If the number of degrees of change greater than or equal to the change threshold is greater than a first set value, the degree of change greater than or equal to the change threshold is calibrated as a first overload environment; The resource and environment carrying capacity is subtracted from the sum of the carrying assessment coefficient of the first overload environment to obtain the resource and environment overload value.

2. A comprehensive assessment method for the resource and environmental carrying capacity of a brewing area according to claim 1, characterized in that: The production speed of the brewing environment covered in the first overload environment is obtained by comparing the product output and the total fermentation time in the first overload environment at each time point; The resource and environmental consumption value of the brewing environment covered in the first overload environment is obtained by collecting and adding up the water resource consumption, oxygen consumption, temperature and energy consumption, and raw material consumption.

3. A method for comprehensive assessment of the resource and environmental carrying capacity of a brewing area according to claim 2, characterized in that: The production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment are defined as input variables, and are divided into different fuzzy sets respectively; The adjustment results of production efficiency are defined as output variables and divided into fuzzy sets; Formulate fuzzy rules to describe the impact of the production speed of the brewing environment covered by the first overload environment and the resource environment consumption value of the brewing environment covered by the first overload environment on the production efficiency adjustment result; Perform fuzzy reasoning based on fuzzy rules to determine the production efficiency adjustment results.

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