A method, system and device for producing and controlling lycopene edible oil finished products

Abstract

The application provides a lycopene edible oil product production management and control method, system and equipment, belonging to the technical field of lycopene edible oil production. The method can determine the oil color information in each filled container of the current production node; determine the lycopene content corresponding to each oil color information according to a pre-trained oil identification model; based on each lycopene content and a historical lycopene content set corresponding to a previous production node, determine whether the oil of the preset same batch product meets the production parameter adjustment condition. If yes, determine the adjustment parameter group corresponding to the previous production node and / or the subsequent production node according to the lycopene content change curve corresponding to the preset same batch product and the preset production parameter adjustment strategy; after running for a predetermined length of time, determine the lycopene content change curve corresponding to the preset same batch product of each production node to judge whether to continue updating the adjustment parameter group based on the lycopene content change curve.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lycopene edible oil production, and in particular to a lycopene edible oil product production management and control method, system and equipment. BACKGROUND

[0002] Lycopene edible oil is a kind of edible vegetable oil containing lycopene, and is matched with appropriate other carotenoids, carotene, vitamin E and other nutrients. In the production process of lycopene edible oil, ensuring the stability and consistency of lycopene content is the key to improving product quality and market competitiveness.

[0003] However, the existing technology generally has the problem of being difficult to monitor and control the change of lycopene content in real time. This is mainly because lycopene as a fat-soluble pigment, its content is affected by many factors, including temperature, light, oxygen contact time, system and equipment operating conditions in the production process.

[0004] At present, to realize the detection and control of lycopene content, it is necessary to face complex operation process and high investment cost, such as experienced manpower, system and equipment investment. This makes it difficult to monitor and control the change of lycopene content simply, quickly, in real time and economically in the actual production process of lycopene edible oil product, which becomes a technical problem to be solved. SUMMARY

[0005] To solve the above problems, the present application provides a lycopene edible oil product production management and control method, system and equipment.

[0006] On the one hand, the present application provides a lycopene edible oil product production management and control method, which is applied to a pre-constructed lycopene edible oil product production line system; the method comprises:

[0007] Determine the oil color information in each filled container of the current production node; wherein the filled container comprises a transparent area; the oil color information is collected based on the color difference instrument set at the corresponding position of the current production node;

[0008] According to the pre-trained oil product recognition model, determine the lycopene content corresponding to each oil color information;

[0009] Based on each lycopene content and the historical lycopene content set corresponding to the previous production node, determine whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition;

[0010] If yes, according to the preset lycopene content change curve corresponding to the same batch of products and the preset production parameter adjustment strategy, an adjustment parameter group corresponding to the early production node and / or the late production node is determined;

[0011] After the production parameters corresponding to the adjustment parameter group are operated for a predetermined length of time, the lycopene content change curve corresponding to the same batch of products of each production node is determined to judge whether to continue updating the adjustment parameter group based on the lycopene content change curve.

[0012] In an implementation manner of the present application, the oil color information in each filled container of the current production node is determined, specifically including:

[0013] The color difference meter arranged at the position corresponding to the current production node is sent a control instruction to make the color difference meter measure the color data of the transparent area of each filled container passing through the probe thereof, and record the Lab value in the Lab color model; the arrangement position of the probe matches the transparent area; the Lab value includes brightness, red-green axis color index and yellow-blue axis color index;

[0014] The Lab value is obtained and taken as the oil color information.

[0015] In an implementation manner of the present application, before the lycopene content corresponding to each oil color information is determined according to the pre-trained oil product identification model, the method further includes:

[0016] Obtaining a plurality of oil samples labeled with lycopene content; each of the oil samples corresponds to different concentration ranges of lycopene and has different oil color information;

[0017] Each of the oil samples is input into an oil product identification model to be trained to train the oil product identification model until the output accuracy of the oil product identification model is greater than a predetermined value, and the pre-trained oil product identification model is obtained; the oil product identification model is a machine learning model.

[0018] In an implementation manner of the present application, based on each lycopene content and a historical lycopene content set corresponding to the early production node, it is determined whether the oil of the preset same batch of products corresponding to the current production node meets the production parameter adjustment condition, specifically including:

[0019] The early production node of the current production node is determined;

[0020] It is determined whether the early production node has a pre-recorded historical lycopene content;

[0021] If yes, the historical lycopene content corresponding to the previous production node is added to the historical lycopene content set in chronological order; the historical lycopene content set includes historical lycopene content subsets at different production nodes; each historical lycopene content subset includes historical lycopene contents of the preset same batch of products;

[0022] Otherwise, a preset initial lycopene content is added to the historical lycopene content set;

[0023] According to each product of the preset same batch of products, the average value of the difference between the lycopene content and each corresponding historical lycopene content is calculated as a first difference;

[0024] The second difference between the lycopene content and the standard content is calculated;

[0025] If the proportion of the number of products in the preset same batch of products that meet the preset condition is greater than a first preset threshold, it is determined that the oil liquid of the preset same batch of products corresponding to the current production node meets the production parameter adjustment condition; the preset condition is that the first difference is negative and / or the second difference is greater than a second preset threshold.

[0026] In an implementation manner of the present application, according to the lycopene content change curve corresponding to the preset same batch of products and a preset production parameter adjustment strategy, the adjustment parameter group corresponding to the previous production node and / or the later production node is determined, specifically including:

[0027] According to each lycopene content and the historical lycopene content set corresponding to the preset same batch of products, the lycopene content change curve is generated;

[0028] The content change trend of the lycopene content change curve is matched with the preset production parameter adjustment strategy;

[0029] According to the matching result, the corresponding production node to be adjusted and the corresponding adjustment parameter are determined to generate the adjustment parameter group; the adjustment parameter group at least includes the working temperature and the running power corresponding to each production node to be adjusted.

[0030] In an implementation manner of the present application, the method further includes:

[0031] If it is determined that the oil liquid of the preset same batch of products corresponding to the current production node does not meet the production parameter adjustment condition, each lycopene content and the current production node, timestamp, and product identifier are recorded to a preset database for storage as a historical lycopene content.

[0032] In an implementation form of the present application, after running for a predetermined length of time with the production parameters corresponding to the adjustment parameter group, the lycopene content change curve corresponding to the preset same batch product of each production node is determined to determine whether to continue updating the adjustment parameter group based on the lycopene content change curve, specifically including:

[0033] After running for a predetermined length of time with the production parameters corresponding to the adjustment parameter group, the lycopene content change curve corresponding to the preset same batch product is determined; wherein the predetermined length of time is based on the time when the preset same batch product reaches the next production node from the current production node;

[0034] According to the lycopene content change curve and the preset adjustment analysis rule, it is determined whether to continue updating the adjustment parameter group; the updating includes positive feedback updating and negative feedback updating.

[0035] In an implementation form of the present application, according to the lycopene content change curve and the preset adjustment analysis rule, it is determined whether to continue updating the adjustment parameter group, specifically including:

[0036] According to the lycopene content change curve, the change trend of the lycopene content is determined;

[0037] In the case where the change trend is downward, the working temperature corresponding to the corresponding production node is reduced by a preset step;

[0038] In the case where the change trend is upward, the working temperature corresponding to the corresponding production node is increased by the preset step.

[0039] On the other hand, the present application also provides a lycopene edible oil product production control system, which comprises:

[0040] A first determination module is configured to determine the oil color information in each filled container of the current production node; wherein the filled container comprises a transparent area; and the oil color information is collected based on a color difference meter arranged at a position corresponding to the current production node;

[0041] A second determination module is configured to determine the lycopene content corresponding to each oil color information according to a pre-trained oil product recognition model;

[0042] A third determination module is configured to determine whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition based on each lycopene content and a historical lycopene content set corresponding to a previous production node;

[0043] a fourth determining module, configured to determine an adjustment parameter group corresponding to the early production node and / or the late production node according to the lycopene content change curve corresponding to the same batch of products and a preset production parameter adjustment strategy if yes;

[0044] a fifth determining module, configured to determine the lycopene content change curve corresponding to the same batch of products of each production node after the production parameter corresponding to the adjustment parameter group is run for a predetermined length of time, so as to judge whether to continue updating the adjustment parameter group based on the lycopene content change curve.

[0045] In another aspect, the embodiment of the present application further provides a lycopene edible oil product production control device, which comprises:

[0046] at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the lycopene edible oil product production control method as described above.

[0047] Compared with the prior art, the present application has the following remarkable effects:

[0048] Through the above scheme, the oil color of the product can be flexibly collected in the production line system of the lycopene edible oil product, and the lycopene content of each production node is tested, so as to avoid the unstable change of the lycopene which is easily affected by the environment during the production process, and to affect the quality of the finished product. At the same time, according to the lycopene content, the production parameters are adjusted in time to ensure the lycopene content of the product. Without a large amount of cost investment, the lycopene content change can be monitored and controlled simply, quickly, in real time and economically. BRIEF DESCRIPTION OF DRAWINGS

[0049] The accompanying drawings, which are included to provide a further understanding of the present application, constitute a part of the present application and illustrate the illustrative embodiments of the present application and their description serve to explain the present application, and do not constitute improper limitations on the present application. In the drawings:

[0050] Figure 1 FIG. 1 is a flowchart of a lycopene edible oil product production control method according to an embodiment of the present application;

[0051] Figure 2 FIG. 2 is a structural diagram of a lycopene edible oil product production control system according to an embodiment of the present application;

[0052] Figure 3 FIG. 3 is a structural diagram of a lycopene edible oil product production control device according to an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purposes, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely below in combination with specific embodiments of the present application and corresponding drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0054] The embodiments of the present application provide a lycopene edible oil finished product production control method, system and device, which are used to solve the technical problem that in order to realize detection and control of lycopene content, a complex operation process and high investment cost need to be faced, and lycopene content cannot be monitored and controlled simply, quickly, in real time and economically in the actual lycopene edible oil finished product production process.

[0055] The various embodiments of the present application will be described in detail below in combination with the drawings.

[0056] The embodiments of the present application provide a lycopene edible oil finished product production control method, which is applied to a pre-constructed lycopene edible oil finished product production line system, such as shown in the figure, and the method can include steps S101-S105: Figure 1

[0057] S101, the server determines the oil color information in each filled container of the current production node.

[0058] The filled container includes a transparent area. The oil color information is collected based on a color difference meter set at a corresponding position of the current production node.

[0059] It should be noted that the server as the execution subject of the lycopene edible oil finished product production control method only exists as an example, and the execution subject is not limited to the server, and the present application does not make specific limitations thereto.

[0060] The filled container can be understood as a product containing lycopene edible oil, and the current production node includes but is not limited to a cap node, a cover node, a laser code spraying node, a lamp inspection node and a self-adhesive label node. The filled container has a transparent area at each production link for collecting oil color information. The color difference meter can measure the color by projection or reflection in the transparent area to obtain the oil color information.

[0061] Specifically, the oil color information in each filled container of the current production node includes:

[0062] ​The colorimeter arranged at the position corresponding to the current production node is sent a control instruction to cause the colorimeter to measure color data of the transparent area of each filled container passing through the probe of the colorimeter and record the color data as Lab values in a Lab color model. The probe is arranged at a position matching the transparent area. The Lab values include brightness, a red-green axis color index, and a yellow-blue axis color index. The Lab values are obtained as oil color information.

[0063] It can be understood that the application can be arranged with a colorimeter at the end of each production node. For example, the colorimeter is arranged to sequentially collect color data of the transparent area of the preset same batch of products after the current production node completes processing of the preset same batch of products through a production pipeline system, to obtain Lab values. The Lab values are based on parameters corresponding to a brightness dimension L, a color opposite dimension red-green axis color index a, and a yellow-blue axis color index b in a Lab color space. The server can use a timestamp to obtain the Lab values corresponding to each product in the preset same batch of products in real time, and use the Lab values as oil color information. The preset same batch of products can be set by a user according to actual use, for example, 12 straight-line filling machines are used for filling, and then 12 products filled at the same time are the preset same batch of products, which is not limited in the application.

[0064] The above technical solution can effectively and accurately collect oil color information, analyze oil color changes, avoid errors caused by manual naked eye, free up manpower, reduce labor costs, and improve the level of automatic production control.

[0065] In S102, the server determines the lycopene content corresponding to each oil color information according to a pre-trained oil identification model.

[0066] In the embodiment of the application, before determining the lycopene content corresponding to each oil color information according to the pre-trained oil identification model, the method further includes:

[0067] A plurality of oil samples labeled with lycopene content are obtained. Each oil sample corresponds to a different concentration range of lycopene and has different oil color information. Each oil sample is input into a to-be-trained oil identification model to train the oil identification model until the output accuracy of the oil identification model is greater than a predetermined value, to obtain the pre-trained oil identification model. The oil identification model is a machine learning model.

[0068] The oil sample can be obtained in a historical production process, and the lycopene content of different oil samples is accurately detected. The oil sample with different lycopene content is determined according to the oil color information collected by the color difference meter, and the oil sample is labeled according to the corresponding relationship between the lycopene content and the concentration range and the oil color information. Subsequently, the server can use each oil sample labeled to train the machine learning model to obtain an oil product identification model with an output accuracy greater than a predetermined value. The predetermined value can be set by the user according to the actual use scene, and the present application does not make specific limitation.

[0069] After obtaining the trained oil product identification model, the server inputs each oil color information into the model, and the oil product identification model quickly identifies the lycopene content corresponding to the oil color information. It does not need to rely too much on manual experience for identification, avoids manual error, and improves data credibility.

[0070] In the embodiment of the present application, based on each lycopene content and the historical lycopene content set corresponding to the previous production node, it is determined whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition.

[0071] In the embodiment of the present application, based on each lycopene content and the historical lycopene content set corresponding to the previous production node, it is determined whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition. Specifically, it includes:

[0072] Firstly, the previous production node of the current production node is determined. It is determined whether the previous production node has a pre-recorded historical lycopene content.

[0073] In the case where it is determined that the previous production node has a pre-recorded historical lycopene content, the historical lycopene content corresponding to the previous production node is added to the historical lycopene content set in chronological order. The historical lycopene content set includes a historical lycopene content subset at different production nodes. The historical lycopene content subset includes each historical lycopene content of the preset same batch product.

[0074] In the case where it is determined that the previous production node does not have a pre-recorded historical lycopene content, the preset initial lycopene content is added to the historical lycopene content set.

[0075] Subsequently, according to each product of the preset same batch product, a difference average value of the lycopene content and the corresponding each historical lycopene content is calculated as a first difference value. A second difference value of the lycopene content and the standard content is calculated. In a case where a proportion of the number of products satisfying a preset condition in the preset same batch product is greater than a first preset threshold, it is determined that the oil liquid of the preset same batch product corresponding to the current production node satisfies the production parameter adjustment condition. The preset condition is that the first difference value is a negative value and / or the second difference value is greater than a second preset threshold.

[0076] That is, the present application can determine whether there is a previous production node before the current production node, and further extract the historical lycopene content corresponding to the previous production node according to the determination result. Wherein, if the previous production node has a pre-recorded historical lycopene content, the server can generate a historical lycopene content set relative to the preset same batch product in chronological order, and the historical lycopene content set contains a historical lycopene content subset corresponding to each production node of the preset same batch product in the previous production node.

[0077] For example, the historical lycopene content set is {{A1, B1, C1}, {A2, B2, C2}, {A3, B3, C3}}, wherein {A1, B1, C1} can be understood as the historical lycopene content corresponding to products A, B, and C of the preset same batch product in the first production node of the previous production node, and similarly, {A2, B2, C2} in the second production node and {A3, B3, C3} in the third production node.

[0078] And in a case where the previous production node does not have a pre-recorded historical lycopene content, the historical lycopene content may not be recorded, or the current production node may be the first production node, at which time the server extracts the pre-set initial lycopene content from the preset database and adds it to the historical lycopene content set. The initial lycopene content can be understood as a standard value set by the user, which is not limited by the present application.

[0079] The application can calculate the average value of the difference value according to the lycopene content of the product at the current production node and the corresponding historical lycopene content of the product in the preset same batch of products, that is, the lycopene content is subtracted from each historical lycopene content, and the average value of the difference value obtained by the subtraction is calculated to obtain a first difference value. Then, a second difference value between the lycopene content and the preset standard content is calculated. Subsequently, the server determines whether the first difference value corresponding to each product is negative and whether the second difference value is greater than a second preset threshold, thereby accumulating the number of products that meet the above preset conditions, and determining that the lycopene content of the preset same batch of products in the current production node meets the production parameter adjustment condition when the number of products is greater than a first preset threshold. The first preset threshold and the second preset threshold are set by the user according to actual needs, or can be set in an adaptive threshold setting manner, which is not limited in the application.

[0080] Through the above scheme, the compliance of the production parameter adjustment condition can be more flexibly determined, and the production parameter adjustment of the overall pipeline system can be completed in accordance with the actual situation.

[0081] In the embodiment of the application, the adjustment parameter group corresponding to the previous production node and / or the later production node is determined according to the lycopene content change curve corresponding to the preset same batch of products and the preset production parameter adjustment strategy, and specifically includes:

[0082] In the embodiment of the application, the adjustment parameter group corresponding to the previous production node and / or the later production node is determined according to the lycopene content change curve corresponding to the preset same batch of products and the preset production parameter adjustment strategy, and specifically includes:

[0083] The lycopene content change curve is generated according to the lycopene content and the historical lycopene content set corresponding to the preset same batch of products. The content change trend of the lycopene content change curve is matched with the preset production parameter adjustment strategy. According to the matching result, the corresponding production node to be adjusted and the corresponding adjustment parameter are determined to generate the adjustment parameter group. The adjustment parameter group at least includes the working temperature and the running power corresponding to each production node to be adjusted.

[0084] In other words, when the server determines that the production parameter adjustment condition is met, the lycopene content change curve is generated according to the lycopene content and the historical lycopene content of each product in the preset same batch of products in the order of the production node, wherein the lycopene content change curve can be a curve obtained by coordinate average value calculation of the content curve corresponding to each product, or can be a filtered curve, which is not limited in the application.

[0085] The server can store different preset production parameter adjustment strategies and dependency relationships with different content change trends. Through the dependency relationship, the server can match the corresponding adjustment parameters of the preset production parameter adjustment strategy, and generate adjustment parameter groups for each production link.

[0086] In the production pipeline system, the current lycopene content may change due to the previous production node, and the later production node needs to be adjusted. Therefore, in order to enable the previous production node to process the subsequent product, the production parameter can be adjusted, and the production parameter of the later production node is adjusted to adjust the current product, so that the content meets the expectation.

[0087] In another embodiment of the present application, in the case where it is determined that the oil of the preset same batch product corresponding to the current production node does not meet the production parameter adjustment condition, the lycopene content, the current production node, the timestamp, and the product identifier are recorded to the preset database for storage as historical lycopene content.

[0088] In other words, when the server determines that the oil of the preset same batch product meets the normal finished product production condition and does not need production parameter adjustment, it can store the lycopene content, the current production node, the timestamp, and the product identifier and other related information in the preset database as subsequent historical lycopene content. The preset database can be a database previously built by the user and connected to the server network.

[0089] S105, the server determines the lycopene content change curve of the preset same batch product corresponding to each production node after running the production parameter corresponding to the adjustment parameter group for a predetermined time length, to determine whether to continue updating the adjustment parameter group based on the lycopene content change curve.

[0090] In the embodiment of the present application, when the production parameter corresponding to the adjustment parameter group is run for a predetermined time length, the lycopene content change curve of the preset same batch product corresponding to each production node is determined, and whether to continue updating the adjustment parameter group is determined based on the lycopene content change curve. Specifically, it includes:

[0091] After running the production parameter corresponding to the adjustment parameter group for a predetermined time length, the lycopene content change curve corresponding to the corresponding preset same batch product is determined. The predetermined time length is based on the time when the preset same batch product arrives at the next production node from the current production node. According to the lycopene content change curve and the preset adjustment analysis rule, it is determined whether to continue updating the adjustment parameter group. The update includes positive feedback update and negative feedback update.

[0092] In other words, after the same batch of products is run to the next production node according to the predetermined time length, the server can further update the lycopene content change curve, so as to adjust the analysis rule according to the change of the lycopene content change curve and the pre-set threshold value, and determine whether to continue to update the adjustment parameter group.

[0093] Specifically, according to the lycopene content change curve and the pre-set adjustment analysis rule, it is determined whether to continue to update the adjustment parameter group, specifically including:

[0094] According to the lycopene content change curve, the change trend of the lycopene content is determined. In the case of a downward trend, the working temperature corresponding to the corresponding production node is reduced according to the preset step length. In the case of an upward trend, the working temperature corresponding to the corresponding production node is increased according to the preset step length.

[0095] That is, the application adjusts the working temperature according to the downward and upward trends. The working temperature adjustment can be obtained by the temperature sensor pre-set at each production node, and the working temperature adjustment needs to rely on the parameter adjustment of different running settings of the production node, which can be realized by the PID control algorithm. The preset step length is pre-set by the user, which is not limited by the application. Positive feedback update can be understood as the case of upward trend, and negative feedback update can be understood as the case of downward trend.

[0096] Through the above scheme, the oil color of the product can be flexibly collected in the production line system of the lycopene edible oil finished product, and the lycopene content of each production node is tested, so as to avoid the unstable change of the lycopene which is easily affected by the environment in the production process, and to affect the quality of the finished product. At the same time, according to the lycopene content, the production parameters are adjusted in time to ensure the lycopene content of the product. Without a large amount of cost, the lycopene content change can be monitored and controlled simply, quickly, in real time and economically.

[0097] Figure 2 A structure diagram of a lycopene edible oil finished product production control system 200 provided by the embodiment of the application is shown in FIG. 1. Figure 2 As shown in FIG. 1, the lycopene edible oil finished product production control system 200 includes:

[0098] The first determination module 201 is configured to determine oil color information in each filled container of the current production node. The filled container includes a transparent area. The oil color information is collected based on a color difference meter arranged at a position corresponding to the current production node. The second determination module 202 is configured to determine a lycopene content corresponding to each oil color information according to a pre-trained oil product identification model. The third determination module 203 is configured to determine whether the oil of the preset same batch product corresponding to the current production node meets a production parameter adjustment condition based on each lycopene content and a set of historical lycopene contents corresponding to previous production nodes. The fourth determination module 204 is configured to, if yes, determine an adjustment parameter group corresponding to the previous production node and / or the later production node according to a lycopene content change curve corresponding to the preset same batch product and a preset production parameter adjustment strategy. The fifth determination module 205 is configured to determine a lycopene content change curve of the preset same batch product corresponding to each production node after the production parameter corresponding to the adjustment parameter group is operated for a predetermined length of time, and determine whether to continue to update the adjustment parameter group based on the lycopene content change curve.

[0099] In the embodiment of the present application, the first determination module 201 is specifically configured to:

[0100] The color difference meter arranged at the position corresponding to the current production node is sent a control instruction to enable the color difference meter to measure color data of the transparent area of each filled container passing through a probe thereof and record the color data as Lab values in a Lab color model. The probe is arranged at a position matched with the transparent area. The Lab values include brightness, a red-green axis color index, and a yellow-blue axis color index. The Lab values are acquired and used as the oil color information.

[0101] In the embodiment of the present application, the system can also:

[0102] A plurality of oil sample labeled with lycopene contents are acquired. Each oil sample corresponds to a different concentration range of lycopene and has different oil color information. Each oil sample is input into an oil product identification model to be trained to train the oil product identification model until an output accuracy of the oil product identification model is greater than a predetermined value, thereby obtaining the pre-trained oil product identification model. The oil product identification model is a machine learning model.

[0103] In the embodiment of the present application, the third determination module 203 is specifically configured to:

[0104] Determine the previous production node of the current production node. Determine whether the previous production node has a pre-recorded historical lycopene content. If yes, add the historical lycopene content corresponding to the previous production node to the historical lycopene content set in chronological order. The historical lycopene content set includes historical lycopene content subsets at different production nodes. Each historical lycopene content subset includes historical lycopene contents of a preset same batch product. Otherwise, add the preset initial lycopene content to the historical lycopene content set. Calculate the average value of the difference between the lycopene content and each corresponding historical lycopene content as a first difference value according to each product of the preset same batch product. Calculate a second difference value between the lycopene content and the standard content. In the case that the proportion of the number of products satisfying the preset condition in the preset same batch product is greater than the first preset threshold, it is determined that the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition. The preset condition is that the first difference value is negative and / or the second difference value is greater than the second preset threshold.

[0105] In the embodiment of the present application, the fourth determination module 204 is specifically configured to:

[0106] According to the historical lycopene content set and the lycopene content corresponding to the preset same batch product, a lycopene content change curve is generated. The content change trend of the lycopene content change curve is matched with a preset production parameter adjustment strategy. According to the matching result, the corresponding production node to be adjusted and the corresponding adjustment parameter are determined to generate an adjustment parameter group. The adjustment parameter group at least includes the working temperature and the running power corresponding to each production node to be adjusted.

[0107] In the embodiment of the present application, the system is also used for:

[0108] In the case that the oil of the preset same batch product corresponding to the current production node does not meet the production parameter adjustment condition, each lycopene content, the current production node, the timestamp and the product identifier are recorded in a preset database for storage as a historical lycopene content.

[0109] In the embodiment of the present application, the fifth determination module 205 is specifically configured to:

[0110] When the production parameters corresponding to the adjustment parameter group are run for a predetermined length of time, the lycopene content change curve corresponding to the corresponding preset same batch product is determined. The predetermined length of time is based on the time for the preset same batch product to arrive at the next production node from the current production node. According to the lycopene content change curve and the preset adjustment analysis rule, it is determined whether to continue to update the adjustment parameter group. The update includes positive feedback update and negative feedback update.

[0111] In the embodiment of the present application, the fifth determination module 205 is specifically configured to:

[0112] According to the lycopene content change curve, the lycopene content change trend is determined. In the case of a downward trend, the working temperature corresponding to the corresponding production node is lowered according to the preset step size. In the case of an upward trend, the working temperature corresponding to the corresponding production node is increased according to the preset step size.

[0113] Figure 3 A structure diagram of a lycopene edible oil finished product production control equipment provided by an embodiment of the application is shown in FIG. 1. Figure 3 As shown in FIG. 1, the equipment comprises:

[0114] at least one processor, and a memory in communication connection with the at least one processor. The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0115] determine the oil color information in each filled container of the current production node. The filled container comprises a transparent area. The oil color information is collected based on a color difference meter arranged at a position corresponding to the current production node. According to a pre-trained oil product identification model, the lycopene content corresponding to each oil color information is determined. Based on each lycopene content and a historical lycopene content set corresponding to a previous production node, it is determined whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition. If yes, according to the lycopene content change curve corresponding to the preset same batch product and the preset production parameter adjustment strategy, the adjustment parameter group corresponding to the previous production node and / or the subsequent production node is determined. After the production parameter corresponding to the adjustment parameter group is run for a predetermined length of time, the lycopene content change curve of the preset same batch product corresponding to each production node is determined, so as to judge whether the adjustment parameter group is continuously updated based on the lycopene content change curve.

[0116] Each embodiment in the application is described in a progressive manner, and the same or similar parts between each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments. Especially, the system and equipment embodiments are basically similar to the method embodiments, so the description is relatively simple, and the related parts can be referred to the part of the method embodiment.

[0117] The system and equipment provided by the embodiments of the application correspond to the method, so the system and equipment also have similar beneficial technical effects as the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and equipment will not be described here.

[0118] It should also be noted that the terms "comprising," "including," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises a... " does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0119] The above description is merely illustrative of the application, and not restrictive. Various modifications and changes can become apparent to those skilled in the art. Incorporating any modification, equivalent substitution, improvement, etc. within the spirit and principle of the application, shall be included in the scope of the claims of the application.

Claims

1. A method for production control of tomato red vegetarian oil, characterized in that, The method is applied to a pre-constructed production line system for lycopene vegetarian oil; the method includes: Determine the color information of the oil in each filled container at the current production node; wherein, the filled container includes a transparent area; the oil color information is obtained based on the colorimeter set at the corresponding position of the current production node; a colorimeter is set at the end of each production node, and the color data of the transparent area of ​​the preset batch of products is collected sequentially by the colorimeter to obtain the Lab value. Using the timestamp, the Lab value corresponding to each product in the preset batch of products is obtained in real time and used as the oil color information; Based on a pre-trained oil identification model, the lycopene content corresponding to the color information of each oil is determined; Based on the lycopene content of each product and the set of historical lycopene content corresponding to previous production nodes, determine whether the oil of the preset batch of products corresponding to the current production node meets the production parameter adjustment conditions. If so, based on the preset lycopene content change curve of the same batch of products and the preset production parameter adjustment strategy, determine the adjustment parameter group corresponding to the early production node and / or the later production node; After running for a predetermined time with the production parameters corresponding to the adjusted parameter group, the lycopene content change curve of the preset batch of products at each production node is determined, and it is determined whether to continue updating the adjusted parameter group based on the lycopene content change curve. Specifically, based on the lycopene content of each product and the historical lycopene content set corresponding to previous production nodes, it is determined whether the oil of the preset batch of products corresponding to the current production node meets the production parameter adjustment conditions, including: Determine the previous production node of the current production node; Determine whether there are pre-recorded historical lycopene contents at the aforementioned previous production nodes; If so, in chronological order, the historical lycopene content corresponding to the previous production node is added to the historical lycopene content set; the historical lycopene content set includes a subset of historical lycopene content at different production nodes; the subset of historical lycopene content includes the historical lycopene content of each product in the same pre-defined batch. Otherwise, the preset initial lycopene content is added to the set of historical lycopene contents; Based on each product in the preset batch, calculate the average difference between the lycopene content and the corresponding historical lycopene content, which is the first difference; Calculate the second difference between the lycopene content and the standard content; If the proportion of products meeting the preset conditions in the same batch of products is greater than the first preset threshold, it is determined that the oil in the same batch of products corresponding to the current production node meets the production parameter adjustment conditions; the preset conditions are that the first difference is negative and the second difference is greater than the second preset threshold. Specifically, based on the preset lycopene content change curve corresponding to the same batch of products and the preset production parameter adjustment strategy, the adjustment parameter groups corresponding to the early production nodes and / or later production nodes are determined, including: Based on the lycopene content of each product in the same batch and the historical lycopene content set, the lycopene content change curve is generated. The content change trend of the lycopene content change curve is matched with the preset production parameter adjustment strategy; Based on the matching results, the corresponding production nodes to be adjusted and the corresponding adjustment parameters are determined to generate the adjustment parameter group; the adjustment parameter group includes at least the operating temperature and operating power of each production node to be adjusted.

2. The method for production control of tomato red vegetarian oil according to claim 1, characterized in that, Determine the color information of the oil in each filled container at the current production node, specifically including: A control command is sent to the colorimeter located at the corresponding position of the current production node, so that the colorimeter measures the color data of the transparent area of ​​each of the filled containers passing through its probe and records it as a Lab value in the Lab color model; the position of the probe matches the transparent area; the Lab value includes luminance, red-green axis chromaticity index and yellow-blue axis chromaticity index; The Lab value is obtained and used as the oil color information.

3. The method for production control of tomato red vegetarian oil according to claim 1, characterized in that, Before determining the lycopene content corresponding to the color information of each oil based on a pre-trained oil identification model, the method further includes: Several oil samples labeled with lycopene content were obtained; each oil sample corresponds to a different concentration range of lycopene and has different oil color information. Each of the oil samples is input into the oil identification model to be trained, and the oil identification model is trained until the output accuracy of the oil identification model is greater than a predetermined value, thereby obtaining the pre-trained oil identification model; the oil identification model is a machine learning model.

4. The method for production control of tomato red vegetarian oil according to claim 1, characterized in that, The method further includes: If it is determined that the oil of the preset batch of products corresponding to the current production node does not meet the production parameter adjustment conditions, the lycopene content of each product, the current production node, the timestamp, and the product identifier are recorded in the preset database to be stored as historical lycopene content.

5. The method for production control of tomato red vegetarian oil according to claim 1, characterized in that, After running for a predetermined period of time with the production parameters corresponding to the adjusted parameter group, the lycopene content change curve corresponding to the preset batch of products at each production node is determined. Based on the lycopene content change curve, it is determined whether to continue updating the adjusted parameter group, specifically including: After running for a predetermined time with the production parameters corresponding to the adjusted parameter group, the lycopene content change curve corresponding to the preset batch of products is determined; wherein, the predetermined time is based on the time it takes for the preset batch of products to arrive at the next production node from the current production node; Based on the lycopene content change curve and the preset adjustment analysis rules, determine whether to continue updating the adjustment parameter group; the update includes positive feedback update and negative feedback update.

6. The method for production control of tomato red vegetarian oil according to claim 5, characterized in that, Based on the lycopene content change curve and the preset adjustment analysis rules, determine whether to continue updating the adjustment parameter group, specifically including: Based on the lycopene content change curve, determine the trend of lycopene content change; When the trend of change is downward, the operating temperature of the corresponding production node is reduced according to a preset step size; When the trend of change is upward, the operating temperature of the corresponding production node is increased according to the preset step size.

7. A production control system for tomato red vegetarian oil, characterized in that, The system is capable of executing the tomato red vegetarian oil production control method according to any one of claims 1-6; the system includes: The first determining module is used to determine the color information of the oil in each filled container at the current production node; wherein, the filled container includes a transparent area; the oil color information is obtained based on the colorimeter set at the corresponding position of the current production node; The second determining module is used to determine the lycopene content corresponding to the color information of each oil based on a pre-trained oil identification model. The third determining module is used to determine, based on the lycopene content of each of the above-mentioned lycopene contents and the set of historical lycopene contents corresponding to the previous production nodes, whether the oil of the preset batch of products corresponding to the current production node meets the production parameter adjustment conditions. The fourth determining module is used to determine the adjustment parameter group corresponding to the early production node and / or the later production node based on the preset lycopene content change curve of the same batch of products and the preset production parameter adjustment strategy. The fifth determining module is used to determine the lycopene content change curve of the preset batch of products at each production node after running for a predetermined time with the production parameters corresponding to the adjustment parameter group, so as to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve.

8. A production control device for tomato red vegetarian oil, characterized in that, The device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform a method for controlling the production of tomato red vegetarian oil as described in any one of claims 1-6.

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