A method and system for detecting fermentation bacteria in yogurt production process

Abstract

This invention relates to the field of yogurt fermentation bacteria detection technology, and discloses a method and system for detecting fermentation bacteria in the yogurt production process. It involves breaking down the process into several yogurt production tasks, querying the yogurt production resources configured in the yogurt production area, constructing a yogurt production resource information set, and establishing an optimization objective based on constraints related to yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as maximizing the overall yogurt quality. The method then solves for yogurt production task allocation strategies and fermentation bacteria detection task allocation strategies, thereby executing the production actions and fermentation bacteria detection actions. Therefore, this invention analyzes the yogurt production quality parameters and yogurt detection time points of different yogurt fermentation environment alternatives, assesses the limiting impact of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, and finds a dynamic balance between order scheduling, fermentation parameter control, and detection node settings, thus solving the key bottleneck problem restricting the overall efficiency release of the production line.

Description

Technical Field

[0001] This invention relates to the field of yogurt fermentation bacteria detection technology, and in particular to a method and system for detecting fermentation bacteria in the yogurt production process. Background Technology

[0002] In the core process of yogurt production, quality control during fermentation directly determines product quality. Fermentation bacteria testing, as a key control point, refers to the systematic monitoring of the activity, purity, total bacterial count, and metabolic capacity of fermentation strains through microbiological analysis. The core value of this step lies in ensuring the stability of the fermentation system. It requires ensuring the activity of functional strains such as lactic acid bacteria meets standards to achieve precise acidity and flavor compound generation, while also preventing product spoilage risks due to contamination by other microorganisms. Furthermore, it provides data support for optimizing production parameters and is the technological cornerstone for maintaining the safety and consistency of yogurt products.

[0003] In industrial production scenarios, yogurt production lines constantly face the dual demands of efficiency and quality. To increase production capacity, the industry generally adopts a strategy of dynamically adjusting fermentation parameters: shortening the microbial proliferation cycle by increasing the inoculum size, or accelerating the metabolic process by raising the fermentation temperature, thereby reducing the production time per batch. However, this efficiency improvement model is highly dependent on the matching detection capabilities of the fermentation bacteria. When the detection efficiency cannot meet production needs (mainly considering the type and number of detection equipment equipped by the production enterprise, such as a single flow cytometer being able to detect 3 samples per hour), even if the theoretical production speed is increased through parameter optimization, the actual production capacity will still be constrained by the process bottlenecks caused by detection lag.

[0004] Meanwhile, considering the differences in production demands among yogurt production orders (such as yogurt quality requirements, yogurt quantity requirements, and time periods), and the fact that yogurt quality requirements are closely related to the selection of fermentation parameters, while the yogurt quantity requirements and time periods are affected by the production time corresponding to the fermentation parameters, this further increases the difficulty of management and scheduling in the yogurt production process, exacerbates the mismatch between testing capabilities and production rhythm, and becomes a key bottleneck restricting the overall efficiency of the production line. This also makes finding a dynamic balance between order scheduling, fermentation parameter control, and testing node settings a technical and management problem that urgently needs to be solved in the industrial production of yogurt. Summary of the Invention

[0005] This invention provides a method and system for detecting fermentation bacteria in the yogurt production process, aiming to solve at least one of the above-mentioned technical problems.

[0006] To achieve the above objectives, the present invention provides a method for detecting fermentation bacteria in the yogurt production process, the method comprising the following steps:

[0007] Upon receiving a yogurt production order for a target production period, the production order requirements are extracted from the yogurt production order, broken down into several yogurt production tasks; each of the yogurt production tasks includes yogurt quality parameter requirements and yogurt production capacity requirements.

[0008] Based on the yogurt production resource database, we query the yogurt production resources configured in yogurt production areas, extract yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and construct a yogurt production resource information set.

[0009] Based on the yogurt production resource information set, considering the yogurt quality parameter requirements and yogurt production capacity requirements for each yogurt production task, we construct an optimization objective based on the constraints of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as the overall yogurt quality. We then solve the yogurt production task allocation strategy and the fermentation bacteria detection task allocation strategy.

[0010] The yogurt production task allocation strategy is sent to the production terminal, which instructs the yogurt production operators to control the preparation equipment of the corresponding yogurt preparation line and execute the production actions of the yogurt production task.

[0011] The fermentation bacteria detection task allocation strategy is sent to the detection terminal, which instructs yogurt testing operators to use the fermentation bacteria detection equipment to perform fermentation bacteria detection actions for yogurt production tasks.

[0012] Optionally, upon receiving a yogurt production order for a target production period, the step of extracting the production order demand from the yogurt production order specifically includes:

[0013] Upon receiving a yogurt production order from a subscriber, the production order requirements are extracted from the yogurt production order; wherein, the production order requirements are configured as the requirement text entered by the subscriber.

[0014] Using natural language processing tools, several demand keywords were extracted from the demand text. Based on the similarity matching degree between the demand keywords and each demand related word in the preset demand related word set, the yogurt quality grade, yogurt demand period and yogurt demand output in the demand text were parsed.

[0015] Based on the yogurt demand period, yogurt production orders targeting the target production period are selected from several yogurt production orders, and the production order demands of the selected yogurt production orders are summarized.

[0016] Optionally, the production order requirements can be broken down to generate several yogurt production task steps, specifically including:

[0017] After breaking down and summarizing several production order requirements, the yogurt quality grade, yogurt demand period, and yogurt demand output are extracted from each production order requirement.

[0018] Based on the range of yogurt parameters corresponding to the yogurt quality grade, determine the yogurt quality parameter requirements corresponding to the production order requirements; based on the yogurt demand period and the yogurt demand output, determine the yogurt production capacity requirements corresponding to the production order requirements.

[0019] Based on the yogurt quality parameter requirements and yogurt production capacity requirements corresponding to several yogurt order requirements, several yogurt production tasks are generated.

[0020] Optionally, the yogurt quality parameter requirements are configured as titration acidity parameter requirements, and the yogurt quality parameter range is configured as a titration acidity parameter range; the determination of the titration acidity parameter range is based on the matching of a pre-stored mapping table between yogurt quality grades and titration acidity parameter ranges.

[0021] Optionally, based on the yogurt production resource database, the steps of querying the yogurt production resources configured in yogurt production areas, extracting yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and constructing a yogurt production resource information set specifically include:

[0022] Access the yogurt production resource database to query the yogurt production resources and yogurt fermentation bacteria detection resources configured in the yogurt production area that are idle during the target production period;

[0023] The alternative schemes for yogurt fermentation environment control and the detection frequency of yogurt fermentation equipment per unit time period for each yogurt production line in the yogurt production resources were extracted to construct a yogurt production resource information set.

[0024] Optionally, based on the yogurt production resource information set, considering the yogurt quality parameter requirements and yogurt production capacity requirements for each yogurt production task, an optimization objective based on the constraints of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as the overall yogurt quality, is constructed. The steps for solving the yogurt production task allocation strategy and the fermentation bacteria detection task allocation strategy are then defined, including:

[0025] Based on the alternative schemes for yogurt fermentation environment control for each yogurt production line and the standard number of tests for yogurt fermentation bacteria equipment per unit time period in the yogurt production resource information set, the yogurt quality parameter requirements for each yogurt production task and the yogurt demand period and yogurt demand output in the yogurt production capacity requirements are considered.

[0026] The solution objective is to determine the allocation scheme of yogurt production tasks assigned to each yogurt production line during the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task.

[0027] The first constraint is that the yogurt production quality parameters of the alternative yogurt fermentation environment control schemes selected for each yogurt production task are higher than the yogurt quality parameter requirements of that yogurt production task in the yogurt fermentation test database. The second constraint is that the yogurt production output of each yogurt production task, when the production time segment of the yogurt preparation line enters the yogurt demand period and the yogurt production output determined by the production time segment and the single output and duration of the yogurt production of the alternative yogurt fermentation environment control schemes selected for that yogurt production task is higher than the yogurt demand output of that yogurt production task. The third constraint is that the actual number of tests in each unit time period of the yogurt production area determined by the yogurt detection time point corresponding to the alternative yogurt fermentation environment control schemes selected for each yogurt production task in the yogurt fermentation test database is less than the standard number of tests per unit time period of the yogurt fermentation bacteria equipment. The optimization objective is to maximize the sum of the differences between the yogurt production quality parameters of each yogurt production task and the yogurt quality parameter requirements of that yogurt production task.

[0028] An optimization algorithm is used to solve the allocation scheme of yogurt production tasks assigned to each yogurt production line in the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task, and these are used as the yogurt production task allocation strategy.

[0029] Based on the alternative yogurt fermentation environment control schemes selected for each yogurt production task and the corresponding yogurt testing time points in the yogurt fermentation test database, a strategy for allocating fermentation bacteria testing tasks is determined.

[0030] Optionally, the yogurt fermentation test database is configured to store:

[0031] Each yogurt production line pre-constructs a yogurt production quality parameter comparison table, which is composed of the yogurt production quality parameters obtained during the yogurt production task test according to different yogurt fermentation environment alternative schemes and the corresponding yogurt fermentation environment alternative schemes.

[0032] Each of the alternative yogurt fermentation environments is configured to include yogurt fermentation environment parameters such as different inoculation amounts, different fermentation temperatures, and different fermentation times.

[0033] A comparison table of yogurt test time points obtained by testing and statistically analyzing the yogurt production task during the pre-testing of yogurt production tasks according to different yogurt fermentation environment alternative schemes and the yogurt fermentation environment control alternative schemes is formed by the yogurt test time point comparison table.

[0034] The yogurt testing time point set includes several first optimal yogurt testing points spaced at a first frequency during the logarithmic period, several second optimal yogurt testing points spaced at a second frequency during the stable period, at least one third optimal yogurt testing point during the sluggish period, and at least one fourth optimal yogurt testing point before the fermentation endpoint. The values ​​of the first frequency and the second frequency are configured as yogurt fermentation environment parameters associated with alternative yogurt fermentation environment schemes.

[0035] Optionally, the yogurt production task allocation strategy is sent to the production terminal, instructing yogurt production operators to control the corresponding yogurt preparation equipment and execute the production actions of the yogurt production task, specifically including:

[0036] The allocation scheme consisting of the yogurt production tasks assigned to each yogurt production line in the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task are sent to the production terminal.

[0037] Each yogurt production operator controls the corresponding yogurt preparation equipment and executes the yogurt production tasks based on the production time allocation plan and yogurt fermentation environment control alternative plan received by the configured production terminal.

[0038] Optionally, the fermentation bacteria detection task allocation strategy is sent to the detection terminal, instructing yogurt testing operators to use the fermentation bacteria detection equipment to perform the fermentation bacteria detection steps of the yogurt production task, specifically including:

[0039] The alternative yogurt fermentation environment control schemes selected for each yogurt production task in the fermentation bacteria detection task allocation strategy are sent to the detection terminal at the corresponding yogurt detection time points in the yogurt fermentation test database.

[0040] Each yogurt testing operator, using the configured testing terminal and fermentation bacteria testing equipment, performs fermentation bacteria testing for yogurt production tasks at each testing time point.

[0041] Furthermore, to achieve the above objectives, the present invention also provides a fermentation bacteria detection system for yogurt production, comprising:

[0042] The order receiving module is used to extract the production order requirements from the yogurt production order when it receives a yogurt production order for a target production period, break down the production order requirements, and generate several yogurt production tasks; wherein, each yogurt production task includes yogurt quality parameter requirements and yogurt production capacity requirements;

[0043] The resource query module is used to query the yogurt production resources configured in the yogurt production area based on the yogurt production resource database, extract yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and construct a yogurt production resource information set.

[0044] The strategy solving module is used to construct an optimization objective based on the constraints of yogurt quality, yogurt production capacity and fermentation bacteria detection resources, as well as the overall yogurt quality, by considering the yogurt production resource information set, the yogurt quality parameter requirements and yogurt production capacity requirements of each yogurt production task, and the overall yogurt quality. The module then solves the yogurt production task allocation strategy and the fermentation bacteria detection task allocation strategy.

[0045] The first sending module is used to send the yogurt production task allocation strategy to the production terminal, so as to drive the yogurt production operator to control the preparation equipment of the corresponding yogurt preparation line and execute the production action of the yogurt production task.

[0046] The second sending module is used to send the fermentation bacteria detection task allocation strategy to the detection terminal, so as to drive the yogurt detection operator to use the fermentation bacteria detection equipment to perform the fermentation bacteria detection action of the yogurt production task.

[0047] The beneficial effects of this invention are as follows: It proposes a method and system for detecting fermentation bacteria in the yogurt production process. By breaking down the process into several yogurt production tasks, querying the yogurt production resources configured in the yogurt production area, constructing a yogurt production resource information set, and establishing an optimization objective based on constraints related to yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as the overall yogurt quality, the invention solves for yogurt production task allocation strategies and fermentation bacteria detection task allocation strategies. This allows for the execution of yogurt production tasks and fermentation bacteria detection actions. Therefore, by analyzing the yogurt production quality parameters and yogurt detection time points of different yogurt fermentation environment alternatives, this invention evaluates the limiting impact of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources. It finds a dynamic balance between order scheduling, fermentation parameter control, and detection node settings, solving the key bottleneck problem restricting the overall efficiency release of the production line. Attached Figure Description

[0048] Figure 1 This is a schematic flowchart of a fermentation bacteria detection method for yogurt production according to an embodiment of the present invention;

[0049] Figure 2 This is a schematic diagram of the fermentation bacteria detection system used in the yogurt production process according to an embodiment of the present invention. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0051] This invention provides a method for detecting fermentation bacteria in the yogurt production process, referring to... Figure 1 , Figure 1 This is a schematic flowchart of a fermentation bacteria detection method for yogurt production according to an embodiment of the present invention.

[0052] In this embodiment, a method for detecting fermentation bacteria in the yogurt production process includes the following steps:

[0053] S1: Upon receiving a yogurt production order for a target production period, extract the production order requirements from the yogurt production order, break down the production order requirements, and generate several yogurt production tasks; wherein, each yogurt production task includes yogurt quality parameter requirements and yogurt production capacity requirements;

[0054] S2: Based on the yogurt production resource database, query the yogurt production resources configured in the yogurt production area, extract the yogurt production and preparation resources and the yogurt fermentation bacteria detection resources, and construct a yogurt production resource information set;

[0055] S3: Based on the yogurt production resource information set, considering the yogurt quality parameter requirements and yogurt production capacity requirements for each yogurt production task, construct an optimization objective based on the constraints of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as the overall yogurt quality, and solve the yogurt production task allocation strategy and fermentation bacteria detection task allocation strategy.

[0056] S4: Send the yogurt production task allocation strategy to the production terminal to drive the yogurt production operators to control the preparation equipment of the corresponding yogurt preparation line and execute the production actions of the yogurt production task.

[0057] S5: Send the fermentation bacteria detection task allocation strategy to the detection terminal, so that the yogurt detection operator can use the fermentation bacteria detection equipment to perform the fermentation bacteria detection action of the yogurt production task.

[0058] It's important to note that in industrial production scenarios, yogurt production lines consistently face the dual demands of efficiency and quality. To increase capacity, the industry commonly employs a strategy of dynamically adjusting fermentation parameters: shortening the microbial proliferation cycle by increasing the inoculum size, or accelerating the metabolic process by raising the fermentation temperature, thereby reducing the production time per batch. However, this efficiency-enhancing model is highly dependent on matching fermentation microbial detection capabilities. When detection efficiency cannot meet production demands (primarily considering the type and quantity of detection equipment provided by the production company, such as a single flow cytometer capable of detecting 3 samples per hour), even if parameter optimization achieves an increase in theoretical production speed, actual capacity will still be constrained by process bottlenecks caused by detection lag. Meanwhile, considering the differences in production demands among yogurt production orders (such as yogurt quality requirements, yogurt quantity requirements, and time periods), and the fact that yogurt quality requirements are closely related to the selection of fermentation parameters, while the yogurt quantity requirements and time periods are affected by the production time corresponding to the fermentation parameters, this further increases the difficulty of management and scheduling in the yogurt production process, exacerbates the mismatch between testing capabilities and production rhythm, and becomes a key bottleneck restricting the overall efficiency of the production line. This also makes finding a dynamic balance between order scheduling, fermentation parameter control, and testing node settings a technical and management problem that urgently needs to be solved in the industrial production of yogurt.

[0059] To address the aforementioned issues, this embodiment breaks down production into several yogurt production tasks, queries the yogurt production resources configured in the yogurt production area, constructs a yogurt production resource information set, and establishes an optimization objective based on constraints related to yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as the overall yogurt quality. It then solves for yogurt production task allocation strategies and fermentation bacteria detection task allocation strategies, thereby executing the production actions and fermentation bacteria detection actions for the yogurt production tasks. Therefore, this invention analyzes the yogurt production quality parameters and yogurt detection time points of different yogurt fermentation environment alternatives, evaluates the limiting impact of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, and finds a dynamic balance between order scheduling, fermentation parameter control, and detection node settings, thus solving the key bottleneck problem restricting the overall efficiency release of the production line.

[0060] In a preferred embodiment, upon receiving a yogurt production order for a target production period, the step of extracting the production order demand from the yogurt production order specifically includes:

[0061] S11: Upon receiving a yogurt production order from a subscriber, extract the production order requirements from the yogurt production order; wherein, the production order requirements are configured as the requirement text entered by the subscriber.

[0062] S12: Use natural language processing tools to extract several demand keywords from the demand text. Based on the similarity matching degree between the demand keywords and each demand related word in the preset demand related word set, parse out the yogurt quality grade, yogurt demand period and yogurt demand output in the demand text.

[0063] S13: Based on the yogurt demand period, select yogurt production orders for the target production period from several yogurt production orders, and summarize the production order requirements of the selected yogurt production orders.

[0064] Based on this, the production order requirements are broken down to generate several yogurt production task steps, specifically including:

[0065] S14: Decompose and summarize several production order requirements, and extract the yogurt quality grade, yogurt demand period and yogurt demand output from each production order requirement;

[0066] S15: Based on the range of yogurt parameters corresponding to the yogurt quality grade, determine the yogurt quality parameter requirements corresponding to the production order requirements; based on the yogurt demand period and the yogurt demand output, determine the yogurt production capacity requirements corresponding to the production order requirements.

[0067] S16: Generate several yogurt production tasks based on the yogurt quality parameter requirements and yogurt production capacity requirements corresponding to several yogurt order requirements.

[0068] In this embodiment, the production order demand extraction in yogurt production orders is achieved by obtaining the demand text input by the ordering user, calculating the similarity matching degree between the demand keywords in the demand text and preset demand keywords, and then parsing out the production order demand containing yogurt quality grade, yogurt demand period and yogurt demand output. Then, by determining the time segment with the target production period, the yogurt production orders that need to be processed in the target production period are filtered, and thus a yogurt production task is generated.

[0069] In practical applications, the required yogurt quality parameters are configured as titration acidity parameter requirements, and the range of yogurt quality parameters is configured as the range of titration acidity parameter ranges. The determination of the range of titration acidity parameter ranges is based on the matching of a pre-stored mapping table between yogurt quality grades and titration acidity parameter ranges.

[0070] In this embodiment, titratable acidity is used to measure yogurt quality. When slow fermentation of yogurt is carried out with low inoculum and low temperature, lactic acid bacteria metabolism is more complete, organic acid accumulation is more uniform, and the protein and solids content of the raw milk is higher, providing a basis for acidity enhancement. The titratable acidity can be controlled at 80-110°T, resulting in a richer taste and higher quality, but the production efficiency is lower. When fast fermentation is carried out with high inoculum and high temperature, organic acid accumulation is insufficient, and the raw milk may contain reconstituted milk or have a low solids content, limiting acidity enhancement. The acidity is usually at 60-70°T, but the production efficiency is higher.

[0071] In a preferred embodiment, the steps of querying the yogurt production resources configured in a yogurt production area based on a yogurt production resource database, extracting yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and constructing a yogurt production resource information set specifically include:

[0072] S21: Access the yogurt production resource database and query the yogurt production resources and yogurt fermentation bacteria detection resources configured in the yogurt production area that are idle during the target production period;

[0073] S22: Extract alternative schemes for yogurt fermentation environment control and the detection frequency of yogurt fermentation equipment per unit time period for each yogurt production line in the yogurt production resources, and construct a yogurt production resource information set.

[0074] In this embodiment, by accessing the yogurt production resource database, the yogurt production resources and yogurt fermentation bacteria detection resources configured in the yogurt production area that are idle during the target production period can be queried, and a yogurt production resource information set can be constructed to obtain the alternative yogurt fermentation environment control schemes available for each yogurt preparation production line and the unit time detection frequency of the yogurt fermentation bacteria equipment.

[0075] In a preferred embodiment, based on the yogurt production resource information set, considering the yogurt quality parameter requirements and yogurt production capacity requirements for each yogurt production task, an optimization objective is constructed based on constraints of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as the objective of maximizing overall yogurt quality. The steps for solving the yogurt production task allocation strategy and the fermentation bacteria detection task allocation strategy specifically include:

[0076] S31: Based on the alternative schemes for yogurt fermentation environment control for each yogurt production line in the yogurt production resource information set and the standard number of tests for yogurt fermentation bacteria equipment per unit time period, consider the yogurt quality parameter requirements for each yogurt production task and the yogurt demand period and yogurt demand output in the yogurt production capacity requirements;

[0077] S32: The allocation scheme consisting of the yogurt production tasks assigned to each yogurt production line during the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task are taken as the solution objectives.

[0078] S33: The first constraint is that the yogurt production quality parameters of the alternative yogurt fermentation environment control scheme selected for each yogurt production task are higher than the yogurt quality parameter requirements of that yogurt production task in the yogurt fermentation test database. The second constraint is that the yogurt production output determined by the production time segment of each yogurt production task entering the yogurt demand period and the single output and duration of the yogurt production based on the production time segment and the alternative yogurt fermentation environment control scheme selected for that yogurt production task being higher than the yogurt demand output of that yogurt production task. The third constraint is that the actual number of tests in each unit time segment of the yogurt production area determined by the yogurt detection time point corresponding to the alternative yogurt fermentation environment control scheme selected for each yogurt production task in the yogurt fermentation test database is less than the standard number of tests per unit time segment of the yogurt fermentation bacteria equipment. The optimization objective is to maximize the sum of the differences between the yogurt production quality parameters of each yogurt production task and the yogurt quality parameter requirements of that yogurt production task.

[0079] S34: An optimization algorithm is used to solve the allocation scheme of yogurt production tasks assigned to each yogurt production line in the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task, and these are used as the yogurt production task allocation strategy.

[0080] S35: Based on the yogurt fermentation environment control alternative schemes selected for each yogurt production task and the corresponding yogurt testing time points in the yogurt fermentation test database, determine the fermentation bacteria testing task allocation strategy.

[0081] In this embodiment, by breaking down production order requirements, several yogurt production tasks are generated. Yogurt production resources configured in the yogurt production area are queried to construct a yogurt production resource information set. An optimization objective based on constraints of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources, as well as maximizing overall yogurt quality, is established. The yogurt production task allocation strategy and the fermentation bacteria detection task allocation strategy are then solved. By analyzing the yogurt production quality parameters and yogurt detection time points when each yogurt production line executes yogurt production tasks under different yogurt fermentation environment alternatives, the limiting impact of yogurt quality, yogurt production capacity, and yogurt fermentation bacteria detection resources is evaluated. With the goal of maximizing overall yogurt production quality, the allocation and scheduling of yogurt production tasks and fermentation bacteria detection during the yogurt production process are achieved, finding a dynamic balance between order scheduling, fermentation parameter control, and detection node settings.

[0082] In a preferred embodiment, the yogurt fermentation test database is configured to store:

[0083] Each yogurt production line pre-constructs a yogurt production quality parameter comparison table, which is composed of the yogurt production quality parameters obtained during the yogurt production task test according to different yogurt fermentation environment alternative schemes and the corresponding yogurt fermentation environment alternative schemes.

[0084] Each of the alternative yogurt fermentation environments is configured to include yogurt fermentation environment parameters such as different inoculation amounts, different fermentation temperatures, and different fermentation times.

[0085] A comparison table of yogurt test time points obtained by testing and statistically analyzing the yogurt production task during the pre-testing of yogurt production tasks according to different yogurt fermentation environment alternative schemes and the yogurt fermentation environment control alternative schemes is formed by the yogurt test time point comparison table.

[0086] The yogurt testing time point set includes several first optimal yogurt testing points spaced at a first frequency during the logarithmic period, several second optimal yogurt testing points spaced at a second frequency during the stable period, at least one third optimal yogurt testing point during the sluggish period, and at least one fourth optimal yogurt testing point before the fermentation endpoint. The values ​​of the first frequency and the second frequency are configured as yogurt fermentation environment parameters associated with alternative yogurt fermentation environment schemes.

[0087] In this embodiment, the yogurt fermentation test database is configured to store: a yogurt production quality parameter comparison table consisting of yogurt production quality parameters obtained during the pre-execution of yogurt production task tests and corresponding yogurt fermentation environment alternative schemes, and a yogurt test time point comparison table consisting of yogurt test time point sets and yogurt fermentation environment control alternative schemes. The generation of this yogurt fermentation test database is used to provide data support when planning and solving the yogurt production task allocation strategy and the fermentation bacteria test task allocation strategy.

[0088] It should be noted that the fermentation cycle will change when different alternative yogurt fermentation environments are used. Therefore, different detection frequencies of yogurt fermentation bacteria are required during the lag phase, logarithmic phase, and stationary phase at different locations.

[0089] For example, when fermenting with high temperature and high inoculum (42-45℃, inoculum 3-5%), the logarithmic phase lasts for a short time (usually 2-4 hours), but the cell proliferation and acid production rate are extremely fast (the acidity may rise by 10-15°T per hour). During this period, the yogurt fermentation bacteria should be tested every 1-2 hours. In contrast, during the stable phase with high temperature and high inoculum, which is close to the target endpoint, the yogurt fermentation bacteria should be tested every 30 minutes to 1 hour. When fermenting with low temperature and low inoculum (37-40℃, inoculum 1-2%), the logarithmic phase lasts for a long time (usually 4-6 hours), and the cell proliferation and acid production rate are balanced (the acidity rises by 5-8°T per hour). In this scenario, the yogurt fermentation bacteria can be tested every 2-3 hours. During the stable phase with low temperature and low inoculum, the fermentation and acid production are relatively slow, and the yogurt fermentation can be tested every 1 hour. It is easy to understand that those skilled in the art can select and adjust the yogurt testing points according to the actual situation. This is only an example and should not be taken as a limitation in the actual application of this application.

[0090] In a preferred embodiment, the yogurt production task allocation strategy is sent to the production terminal, instructing yogurt production operators to control the preparation equipment of the corresponding yogurt preparation line and execute the production action steps of the yogurt production task, specifically including:

[0091] S41: Send the allocation scheme consisting of the yogurt production tasks assigned to each yogurt production line in the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task to the production terminal.

[0092] S42: Each yogurt production operator controls the preparation equipment of the corresponding yogurt preparation line and executes the production actions of the yogurt production task according to the production time allocation plan and yogurt fermentation environment control alternative plan received by the configured production terminal.

[0093] Based on this, the fermentation bacteria detection task allocation strategy is sent to the detection terminal, instructing yogurt testing operators to use the fermentation bacteria detection equipment to perform the fermentation bacteria detection steps of the yogurt production task, specifically including:

[0094] S51: Send the yogurt fermentation environment control alternative scheme selected for each yogurt production task in the fermentation bacteria detection task allocation strategy to the detection terminal at the corresponding yogurt detection time point in the yogurt fermentation test database;

[0095] S52: Each yogurt testing operator, according to the configured testing terminal, uses the fermentation bacteria testing equipment to perform the fermentation bacteria testing action for the yogurt production task at each yogurt testing time point.

[0096] In this embodiment, by solving the yogurt production task allocation strategy and the fermentation bacteria detection task allocation strategy, the yogurt production operators are instructed to control the corresponding yogurt preparation equipment on the yogurt preparation line to execute the production actions of the yogurt production tasks, and the yogurt testing operators are instructed to use the fermentation bacteria detection equipment to execute the fermentation bacteria detection actions of the yogurt production tasks. Thus, this invention allocates and schedules yogurt production tasks and fermentation bacteria detection during the yogurt production process, finding a dynamic balance between order scheduling, fermentation parameter control, and detection node settings. This reduces the management difficulty of yogurt production, alleviates the mismatch between testing capacity and production rhythm, and solves the key bottleneck problem restricting the overall efficiency of the production line.

[0097] Reference Figure 2 , Figure 2 This is a schematic diagram of the fermentation bacteria detection system used in the yogurt production process according to an embodiment of the present invention.

[0098] like Figure 2 As shown, the fermentation bacteria detection system for yogurt production process proposed in this embodiment of the invention includes:

[0099] The order receiving module 10 is used to extract the production order requirements from the yogurt production order when it receives a yogurt production order for a target production period, break down the production order requirements, and generate several yogurt production tasks; wherein, each yogurt production task includes yogurt quality parameter requirements and yogurt production capacity requirements.

[0100] Resource query module 20 is used to query the yogurt production resources configured in the yogurt production area based on the yogurt production resource database, extract yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and construct a yogurt production resource information set;

[0101] The strategy solving module 30 is used to construct an optimization objective based on the constraints of yogurt quality, yogurt production capacity and yogurt fermentation bacteria detection resources, as well as the overall yogurt quality, based on the yogurt production resource information set and considering the yogurt quality parameter requirements and yogurt production capacity requirements of each yogurt production task, and to solve the yogurt production task allocation strategy and the fermentation bacteria detection task allocation strategy.

[0102] The first sending module 40 is used to send the yogurt production task allocation strategy to the production terminal, so as to drive the yogurt production operator to control the preparation equipment of the corresponding yogurt preparation line and execute the production action of the yogurt production task.

[0103] The second sending module 50 is used to send the fermentation bacteria detection task allocation strategy to the detection terminal, so as to drive the yogurt detection operator to use the fermentation bacteria detection equipment to perform the fermentation bacteria detection action of the yogurt production task.

[0104] Other embodiments or specific implementations of the fermentation bacteria detection system for the yogurt production process of the present invention can be referred to the above-described method embodiments, and will not be repeated here.

[0105] It is understood that in the description of this specification, references to terms such as "one embodiment," "another embodiment," "other embodiments," or "first embodiment to Nth embodiment," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0106] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0107] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for detecting fermentation bacteria in the yogurt production process, characterized in that, The method includes the following steps: Upon receiving a yogurt production order for a target production period, the production order requirements are extracted from the yogurt production order, broken down into several yogurt production tasks; each of the yogurt production tasks includes yogurt quality parameter requirements and yogurt production capacity requirements. Based on the yogurt production resource database, we query the yogurt production resources configured in yogurt production areas, extract yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and construct a yogurt production resource information set. Based on the alternative schemes for yogurt fermentation environment control for each yogurt production line and the standard number of tests for yogurt fermentation bacteria equipment per unit time period in the yogurt production resource information set, the yogurt quality parameter requirements for each yogurt production task and the yogurt demand period and yogurt demand output in the yogurt production capacity requirements are considered. The solution objective is to determine the allocation scheme of yogurt production tasks assigned to each yogurt production line during the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task. The first constraint is that the yogurt production quality parameters of the alternative yogurt fermentation environment control schemes selected for each yogurt production task are higher than the yogurt quality parameter requirements of that yogurt production task in the yogurt fermentation test database. The second constraint is that the yogurt production output of each yogurt production task, when the production time segment of the yogurt preparation line enters the yogurt demand period and the yogurt production output determined by the production time segment and the single output and duration of the yogurt production of the alternative yogurt fermentation environment control schemes selected for that yogurt production task is higher than the yogurt demand output of that yogurt production task. The third constraint is that the actual number of tests in each unit time period of the yogurt production area determined by the yogurt detection time point corresponding to the alternative yogurt fermentation environment control schemes selected for each yogurt production task in the yogurt fermentation test database is less than the standard number of tests per unit time period of the yogurt fermentation bacteria equipment. The optimization objective is to maximize the sum of the differences between the yogurt production quality parameters of each yogurt production task and the yogurt quality parameter requirements of that yogurt production task. An optimization algorithm is used to solve the allocation scheme of yogurt production tasks assigned to each yogurt production line in the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task, and these are used as the yogurt production task allocation strategy. Based on the yogurt fermentation environment control alternative schemes selected for each yogurt production task and the corresponding yogurt testing time points in the yogurt fermentation test database, a fermentation bacteria testing task allocation strategy is determined. The yogurt production task allocation strategy is sent to the production terminal, which instructs the yogurt production operators to control the preparation equipment of the corresponding yogurt preparation line and execute the production actions of the yogurt production task. The fermentation bacteria detection task allocation strategy is sent to the detection terminal, which instructs yogurt testing operators to use the fermentation bacteria detection equipment to perform fermentation bacteria detection actions for yogurt production tasks.

2. The method for detecting fermentation bacteria in the yogurt production process as described in claim 1, characterized in that, Upon receiving a yogurt production order for a target production period, the step of extracting the production order demand from the yogurt production order specifically includes: Upon receiving a yogurt production order from a subscriber, the production order requirements are extracted from the yogurt production order; wherein, the production order requirements are configured as the requirement text entered by the subscriber. Using natural language processing tools, several demand keywords were extracted from the demand text. Based on the similarity matching degree between the demand keywords and each demand related word in the preset demand related word set, the yogurt quality grade, yogurt demand period and yogurt demand output in the demand text were parsed. Based on the yogurt demand period, yogurt production orders targeting the target production period are selected from several yogurt production orders, and the production order demands of the selected yogurt production orders are summarized.

3. The method for detecting fermentation bacteria in the yogurt production process as described in claim 2, characterized in that, Break down production order requirements to generate several yogurt production task steps, specifically including: After breaking down and summarizing several production order requirements, the yogurt quality grade, yogurt demand period, and yogurt demand output are extracted from each production order requirement. Based on the range of yogurt parameters corresponding to the yogurt quality grade, determine the yogurt quality parameter requirements corresponding to the production order requirements; based on the yogurt demand period and the yogurt demand output, determine the yogurt production capacity requirements corresponding to the production order requirements. Based on the yogurt quality parameter requirements and yogurt production capacity requirements corresponding to several yogurt order requirements, several yogurt production tasks are generated.

4. The method for detecting fermentation bacteria in the yogurt production process as described in claim 3, characterized in that, The yogurt quality parameter requirements are configured as titration acidity parameter requirements, and the yogurt quality parameter range is configured as the titration acidity parameter range; the determination of the titration acidity parameter range is based on the matching of a pre-stored mapping table between yogurt quality grades and titration acidity parameter ranges.

5. The method for detecting fermentation bacteria in the yogurt production process as described in claim 1, characterized in that, Based on the yogurt production resource database, the steps of querying the yogurt production resources configured in yogurt production areas, extracting yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and constructing a yogurt production resource information set specifically include: Access the yogurt production resource database to query the yogurt production resources and yogurt fermentation bacteria detection resources configured in the yogurt production area that are idle during the target production period; The alternative schemes for yogurt fermentation environment control and the detection frequency of yogurt fermentation equipment per unit time period for each yogurt production line in the yogurt production resources were extracted to construct a yogurt production resource information set.

6. The method for detecting fermentation bacteria in the yogurt production process as described in claim 1, characterized in that, The yogurt fermentation test database is configured to store: Each yogurt production line pre-constructs a yogurt production quality parameter comparison table, which is composed of the yogurt production quality parameters obtained during the yogurt production task test according to different yogurt fermentation environment alternative schemes and the corresponding yogurt fermentation environment alternative schemes. Each of the alternative yogurt fermentation environments is configured to include yogurt fermentation environment parameters such as different inoculation amounts, different fermentation temperatures, and different fermentation times. A comparison table of yogurt test time points obtained by testing and statistically analyzing the yogurt production task during the pre-testing of yogurt production tasks according to different yogurt fermentation environment alternative schemes and the yogurt fermentation environment control alternative schemes is formed by the yogurt test time point comparison table. The yogurt testing time point set includes several first optimal yogurt testing points spaced at a first frequency during the logarithmic period, several second optimal yogurt testing points spaced at a second frequency during the stable period, at least one third optimal yogurt testing point during the sluggish period, and at least one fourth optimal yogurt testing point before the fermentation endpoint. The values ​​of the first frequency and the second frequency are configured as yogurt fermentation environment parameters associated with alternative yogurt fermentation environment schemes.

7. The method for detecting fermentation bacteria in the yogurt production process as described in claim 1, characterized in that, The yogurt production task allocation strategy is sent to the production terminal, instructing yogurt production operators to control the corresponding yogurt preparation equipment and execute the production actions of the yogurt production task, specifically including: The allocation scheme consisting of the yogurt production tasks assigned to each yogurt production line in the corresponding production period and the alternative yogurt fermentation environment control scheme selected by each yogurt production line for each assigned yogurt production task are sent to the production terminal. Each yogurt production operator controls the corresponding yogurt preparation equipment and executes the yogurt production tasks based on the production time allocation plan and yogurt fermentation environment control alternative plan received by the configured production terminal.

8. The method for detecting fermentation bacteria in the yogurt production process as described in claim 1, characterized in that, The fermentation bacteria detection task allocation strategy is sent to the detection terminal, instructing yogurt testing operators to use the fermentation bacteria detection equipment to perform the fermentation bacteria detection steps of the yogurt production task, specifically including: The alternative yogurt fermentation environment control schemes selected for each yogurt production task in the fermentation bacteria detection task allocation strategy are sent to the detection terminal at the corresponding yogurt detection time points in the yogurt fermentation test database. Each yogurt testing operator, using the configured testing terminal and fermentation bacteria testing equipment, performs fermentation bacteria testing for yogurt production tasks at each testing time point.

9. A fermentation bacteria detection system for yogurt production process, characterized in that, include: The order receiving module is used to extract the production order requirements from the yogurt production order when it receives a yogurt production order for a target production period, break down the production order requirements, and generate several yogurt production tasks; wherein, each yogurt production task includes yogurt quality parameter requirements and yogurt production capacity requirements; The resource query module is used to query the yogurt production resources configured in the yogurt production area based on the yogurt production resource database, extract yogurt production and preparation resources and yogurt fermentation bacteria detection resources, and construct a yogurt production resource information set. The strategy solving module is used to determine the yogurt fermentation environment control alternative schemes for each yogurt production line in the yogurt production resource information set, and the standard number of tests conducted by the yogurt fermentation bacteria equipment per unit time period. It considers the yogurt quality parameter requirements for each yogurt production task and the yogurt demand period and output demand in the yogurt production capacity requirements. The module uses the allocation scheme of yogurt production tasks assigned to each yogurt production line in the corresponding production period and the yogurt fermentation environment control alternative scheme selected by each yogurt production line for each assigned yogurt production task as the solution objective. The first constraint is that the yogurt production quality parameters corresponding to the yogurt fermentation environment control alternative scheme selected for each yogurt production task in the yogurt fermentation test database are higher than the yogurt quality parameter requirements for that yogurt production task. The second constraint is that each yogurt production task enters the yogurt demand period during the production time period of the yogurt production line, and the single output and time of yogurt production are based on the production time period and the yogurt fermentation environment control alternative scheme selected for that yogurt task. The first constraint is that the production output of a given yogurt production line is higher than the required output of that production task. The second constraint is that the actual number of tests conducted per unit time period in the yogurt production area is less than the standard number of tests conducted per unit time period by the yogurt fermentation environment control alternative schemes selected for each yogurt production task at the corresponding yogurt testing time points in the yogurt fermentation test database. The third constraint is that the sum of the differences between the yogurt production quality parameters of each yogurt production task and the required yogurt quality parameters of that yogurt production task is maximized. An optimization algorithm is used to solve for the allocation scheme of yogurt production tasks assigned to each yogurt production line in the corresponding production time period and the yogurt fermentation environment control alternative schemes selected by each yogurt production line for each assigned yogurt production task. These are used as the yogurt production task allocation strategy. Based on the corresponding yogurt testing time points of the yogurt fermentation environment control alternative schemes selected for each yogurt production task in the yogurt fermentation test database, the fermentation bacteria testing task allocation strategy is determined. The first sending module is used to send the yogurt production task allocation strategy to the production terminal, so as to drive the yogurt production operator to control the preparation equipment of the corresponding yogurt preparation line and execute the production action of the yogurt production task. The second sending module is used to send the fermentation bacteria detection task allocation strategy to the detection terminal, so as to drive the yogurt detection operator to use the fermentation bacteria detection equipment to perform the fermentation bacteria detection action of the yogurt production task.

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