Finished lycopene edible oil production management and control method, system and equipment

Abstract

The invention provides a lycopene edible oil finished product production management and control method, system and equipment, and belongs to the technical field of lycopene edible oil production. According to the method, color information of oil in each filled container of the current production node can be determined; determining the lycopene content corresponding to each piece of oil color information according to a pre-trained oil product identification model; and based on each lycopene content and a historical lycopene content set corresponding to the early-stage production node, determining whether the oil liquid of the same batch of preset products meets the production parameter adjustment condition or not. If yes, determining an adjustment parameter group corresponding to the early-stage production node and / or the later-stage production node according to a preset lycopene content change curve corresponding to the same batch of products and a preset production parameter adjustment strategy; and after running for a preset time length, determining a lycopene content change curve corresponding to the preset same batch of products of each production node, so as to judge whether to continue to update and adjust the parameter group or not based on the lycopene content change curve.

Description

Technical Field

[0001] The present application relates to the technical field of lycopene vegetarian oil production, and in particular to a method, system and equipment for production control of lycopene vegetarian oil finished product. Background Art

[0002] Lycopene vegetarian oil is an edible vegetable oil containing lycopene, and is supplemented with appropriate amounts of other carotenoids, carotene, vitamin E and other nutrients. In the production process of lycopene vegetarian 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 difficulty in real-time monitoring and control of lycopene content changes. This is mainly because lycopene is a fat-soluble pigment, and its content is affected by many factors, including temperature, light, oxygen contact time, system and equipment operating conditions, etc. during the production process.

[0004] Currently, to detect and control the lycopene content, it is necessary to face complex operating procedures and high investment costs, such as experienced labor, systems and equipment. This makes it an urgent technical problem to monitor and control the changes in lycopene content in a simple, fast, real-time and economical way in the actual production process of lycopene vegetarian oil. Summary of the invention

[0005] In order to solve the above problems, the embodiments of the present application provide a method, system and equipment for production control of lycopene vegetarian oil finished product.

[0006] On the one hand, the embodiment of the present application provides a method for production control of a lycopene vegetarian oil finished product, the method being applied to a pre-constructed production line system of a lycopene vegetarian oil finished product; the method comprising:

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

[0008] Determining the lycopene content corresponding to each of the oil color information according to a pre-trained oil product identification model;

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

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

[0011] After the production parameters corresponding to the adjustment parameter group are run for a predetermined period of time, the lycopene content change curve corresponding to the preset same batch of products of each production node is determined to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve.

[0012] In one implementation of the present application, determining the oil color information in each filled container of the current production node specifically includes:

[0013] Sending a control instruction to the colorimeter set at the corresponding position of the current production node, so that the colorimeter measures the color data of the transparent area of ​​each filled container passing through its probe, and records it as a Lab value in the Lab color model; the setting position of the probe matches the transparent area; the Lab value includes brightness, red-green axis chromaticity index and yellow-blue axis chromaticity index;

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

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

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

[0017] Each of the oil samples is input into the 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, thereby obtaining the pre-trained oil product identification model; the oil product identification model is a machine learning model.

[0018] In one implementation of the present application, based on each of the lycopene contents and the historical lycopene content set corresponding to the previous production nodes, determining whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition specifically includes:

[0019] Determining the previous production node of the current production node;

[0020] determining whether there is a pre-recorded historical lycopene content at the previous production node;

[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; the historical lycopene content subsets include the historical lycopene content of each preset product of the same batch;

[0022] otherwise, adding the preset initial lycopene content to the historical lycopene content set;

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

[0024] Calculating a second difference between the lycopene content and the standard content;

[0025] When the proportion of products meeting the preset conditions in the preset products of the same batch is greater than the first preset threshold, it is determined that the oil of the preset products of the same batch corresponding to the current production node meets the production parameter adjustment conditions; the preset conditions are that the first difference is a negative value and / or the second difference is greater than the second preset threshold.

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

[0027] generating the lycopene content variation curve according to the lycopene content corresponding to each of the preset products of the same batch and the historical lycopene content set;

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

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

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

[0031] When 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 and the current production node, timestamp, and product identification are recorded in a preset database to be stored as historical lycopene content.

[0032] In an implementation of the present application, after the production parameters corresponding to the adjustment parameter group are run for a predetermined period of time, the lycopene content change curve corresponding to the preset same batch of products of each production node is determined, so as to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve, specifically including:

[0033] After the production parameters corresponding to the adjustment parameter group are run for a predetermined time, the lycopene content change curve corresponding to the preset same batch of products is determined; wherein the predetermined time is based on the time it takes for the preset same batch of products to arrive at the next production node from the current production node;

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

[0035] In one implementation of the present application, determining whether to continue updating the adjustment parameter group according to the lycopene content change curve and the preset adjustment analysis rule specifically includes:

[0036] Determining a change trend of the lycopene content according to the lycopene content change curve;

[0037] When the change trend is downward, the operating temperature corresponding to the corresponding production node is reduced according to a preset step size;

[0038] When the change trend is an upward trend, the operating temperature corresponding to the corresponding production node is increased according to the preset step size.

[0039] On the other hand, the embodiment of the present application further provides a lycopene vegetarian oil finished product production control system, the system comprising:

[0040] A first determination module is used to determine the color information of the oil in each filled container of the current production node; wherein the filled container includes a transparent area; and the oil color information is collected based on a colorimeter set at a corresponding position of the current production node;

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

[0042] A third determination module is used 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 of the lycopene contents and the historical lycopene content set corresponding to the previous production nodes;

[0043] A fourth determination module is used to determine the adjustment parameter group corresponding to the early production node and / or the late production node according to the preset lycopene content change curve corresponding to the same batch of products and the preset production parameter adjustment strategy;

[0044] The fifth determination module is used to determine the lycopene content change curve corresponding to the preset same batch of products of each production node after the production parameters corresponding to the adjustment parameter group are run for a predetermined time, so as to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve.

[0045] On the other hand, the embodiment of the present application further provides a lycopene vegetarian oil finished product production control device, the device comprising:

[0046] At least one processor; and a memory in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for production control of a finished lycopene vegetarian oil as described above.

[0047] Compared with the prior art, the present invention has the following significant effects:

[0048] Through the above scheme, the oil color of the finished lycopene vegetarian oil can be flexibly collected in the production line system, and the lycopene content can be tested for each production node to avoid unstable changes in lycopene, which is easily affected by the environment, during the production process, affecting the quality of the finished product. At the same time, according to the lycopene content, the production parameters can be adjusted in a timely manner to ensure the lycopene content of the product. Without investing a lot of cost, the change of lycopene content can be monitored and controlled simply, quickly, in real time and economically. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0050] Figure 1 This is a flow chart of a method for production control of a finished product of lycopene vegetarian oil in an embodiment of the present application;

[0051] Figure 2 This is a structural schematic diagram of a finished product production control system of lycopene vegetarian oil in an embodiment of the present application;

[0052] Figure 3 This is a structural schematic diagram of a lycopene vegetarian oil finished product production control equipment in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0054] The embodiments of the present application provide a method, system and equipment for production control of a finished lycopene vegetarian oil product, which are used to solve the technical problem that the current detection and control of the lycopene content requires complex operating procedures and high investment costs, and it is impossible to monitor and control the change of lycopene content in a simple, fast, real-time and economical manner during the actual production process of the finished lycopene vegetarian oil product.

[0055] The following describes in detail various embodiments of the present application in conjunction with the accompanying drawings.

[0056] The present application embodiment provides a method for production control of a lycopene vegetarian oil finished product, the method being applied to a pre-constructed production line system of a lycopene vegetarian oil finished product, such as Figure 1 As shown, the method may include steps S101-S105:

[0057] S101, the server determines the color information of the oil 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 the colorimeter set at the corresponding position of the current production node.

[0059] It should be noted that the server, as the executor of the lycopene vegetarian oil finished product production control method, is only an example, and the executor is not limited to the server, and this application does not make any specific limitations on this.

[0060] Filled containers can be understood as products containing lycopene vegetarian oil. Current production nodes include but are not limited to capping nodes, capping nodes, laser coding nodes, light inspection nodes, and self-adhesive labeling nodes. Filled containers have transparent areas in each production link for collecting oil color information. A colorimeter can be used to measure the color by projection or reflection in the transparent area to obtain the oil color information.

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

[0062] Send a control command to the colorimeter set at the corresponding position of the current production node, so that the colorimeter measures the color data of the transparent area of ​​each filled container passing through its probe, and records it as the Lab value in the Lab color model. The setting position of the probe matches the transparent area. The Lab value includes brightness, red-green axis chromaticity index, and yellow-blue axis chromaticity index. Obtain the Lab value and use it as the oil color information.

[0063] It is understandable that the present application can set a colorimeter at the end of each production node, for example, through the production line system, the current production node completes the processing of the preset same batch of products, and the color data of the transparent area of ​​the preset same batch of products collected in sequence by the colorimeter to obtain the Lab value. The Lab value is based on the parameters corresponding to the brightness dimension L, the color opposition dimension red-green axis chromaticity index a, and the yellow-blue axis chromaticity index b in the Lab color space. The server can use the timestamp to obtain the Lab value corresponding to each product in the preset same batch of products in real time, and use it as the oil color information. Among them, the preset same batch of products can be set by the user according to the actual usage. For example, when a 12-head linear filling machine is used for filling, the corresponding 12 products that are filled simultaneously are the preset same batch of products. This application does not make specific limitations on this.

[0064] By adopting the above technical solution, oil color information can be effectively and accurately collected, and then the oil color changes can be analyzed, avoiding errors caused by the human eye, freeing up manpower, reducing labor costs, and improving the level of automated production control.

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

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

[0067] Obtain several oil samples labeled with lycopene content. Each oil sample corresponds to a different concentration range of lycopene and has different oil color information. Input each oil sample into the oil product recognition model to be trained to train the oil product recognition model until the output accuracy of the oil product recognition model is greater than a predetermined value, thereby obtaining a pre-trained oil product recognition model. The oil product recognition model is a machine learning model.

[0068] Among them, the oil samples can be obtained in the historical production process, and the lycopene content of different oil samples can be accurately detected. And the oil color information of the oil samples with different lycopene contents collected by the colorimeter is determined, and the oil samples are labeled according to the concentration range corresponding to the lycopene content and the corresponding relationship between the oil color information. Subsequently, the server can use the labeled oil samples to train the machine learning model to obtain an oil product identification model with an output accuracy greater than a predetermined value and meeting the requirements. The predetermined value can be set by the user according to the actual usage scenario, and this application does not specifically limit this.

[0069] After obtaining the trained oil identification model, the server inputs the color information of each oil into the model, and the oil identification model quickly identifies the lycopene content corresponding to the oil color information. There is no need to rely too much on manual experience for identification, which avoids manual errors and improves data credibility.

[0070] S103, the server determines 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 the historical lycopene content set corresponding to the previous production node.

[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, determining whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition specifically includes:

[0072] First, determine the previous production node of the current production node and determine whether there is a pre-recorded historical lycopene content in the previous production node.

[0073] When it is determined that there is a pre-recorded historical lycopene content at the previous production node, 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. The historical lycopene content subsets include various historical lycopene contents of the same batch of products.

[0074] When it is determined that there is no pre-recorded historical lycopene content in the previous production node, the preset initial lycopene content is added to the historical lycopene content set.

[0075] Subsequently, according to each product of the preset same batch of products, the average difference between the lycopene content and the corresponding historical lycopene content is calculated as the first difference. The second difference between the lycopene content and the standard content is calculated. When the proportion of the number of products that meet the preset conditions in the preset same batch of products is greater than the first preset threshold, it is determined that the oil 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 a negative value and / or the second difference is greater than the 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 pre-stored historical lycopene content corresponding to the previous production node according to the determination result. If there is a pre-recorded historical lycopene content in the previous production node, the server can generate a historical lycopene content set relative to the preset same batch of products in chronological order, and the historical lycopene content set includes a subset of historical lycopene content corresponding to each production node of the preset same batch of products at the previous production node.

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

[0078] When it is determined that there is no pre-recorded historical lycopene content in the previous production node, the historical lycopene content may not be recorded, or the current production node may be the first production node. At this 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, and this application does not specifically limit this.

[0079] The present application can calculate the difference average value one by one according to each product in the preset same batch of products, through the lycopene content corresponding to the product at the current production node and its corresponding historical lycopene content, that is, the lycopene content is subtracted from each historical lycopene content, and the average value of the difference obtained by the difference is calculated to obtain a first difference. Then, the second difference between the lycopene content and the preset standard content is calculated. Subsequently, the server determines whether the first difference corresponding to each product is a negative value, and whether the second difference is greater than the second preset threshold, so as to accumulate the number of products that meet the above preset conditions, and when the number of products is greater than the first preset threshold, it is determined that the lycopene content of the preset same batch of products in the current production node meets the production parameter adjustment conditions. The first preset threshold and the second preset threshold are set by the user according to actual needs, or can be set using an adaptive threshold setting method, and this application does not make specific restrictions on this.

[0080] Through the above scheme, the compliance judgment of the production parameter adjustment conditions can be carried out more flexibly, and the production parameter adjustment of the entire assembly line system can be completed in accordance with the actual situation.

[0081] S104, when it is determined that the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment conditions, the server determines the 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 preset same batch product and the preset production parameter adjustment strategy.

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

[0083] A lycopene content change curve is generated according to the preset lycopene content corresponding to each batch of products and the historical lycopene content set. 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 an adjustment parameter group. The adjustment parameter group at least includes the operating temperature and operating power corresponding to each production node to be adjusted.

[0084] In other words, when the server determines that the production parameter adjustment conditions are met, it will generate a lycopene content change curve according to the order of production nodes and the preset lycopene content of each product in the same batch of products and the historical lycopene content. The lycopene content change curve can be a curve obtained by calculating the coordinate average of the content curves corresponding to each product, or it can be one of the screened curves, and the present application does not make specific limitations on this.

[0085] The server can store the dependency relationship between different preset production parameter adjustment strategies and different content change trends. Through the dependency relationship, the server can match the adjustment parameters corresponding to the corresponding preset production parameter adjustment strategies and generate an adjustment parameter group for each production link.

[0086] In the production line system, the current lycopene content may change due to changes in the previous production nodes, and needs to be adjusted at the later production nodes. Therefore, in order to enable the early production nodes to process subsequent products, the production parameters can be adjusted, and the production parameters of the later production nodes can be adjusted at the same time to make subsequent adjustments to the current product so that the content meets expectations.

[0087] In another embodiment of the present application, when 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 conditions, the lycopene content and the current production node, timestamp, and product identification are recorded in a preset database to be stored as historical lycopene content.

[0088] In other words, when the server determines that the oil in the preset batch of products meets the normal finished product production conditions and does not need to adjust the production parameters, the server can store the lycopene content and the current production node, timestamp, product identification and other related information in the preset database so as to be used as the subsequent historical lycopene content. The preset database can be a database pre-built by the user and connected to the server network.

[0089] S105, after the server runs the production parameters corresponding to the adjustment parameter group for a predetermined period of time, it determines the lycopene content change curve corresponding to the preset same batch of products of each production node, and determines whether to continue to update the adjustment parameter group based on the lycopene content change curve.

[0090] In the embodiment of the present application, after the production parameters corresponding to the adjustment parameter group are run for a predetermined period of time, the lycopene content change curve corresponding to the preset same batch of products of each production node is determined, so as to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve, specifically including:

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

[0092] In other words, after the same batch of products runs to the next production node according to the predetermined time, the server can further update the lycopene content change curve, so as to determine whether to continue to update the adjustment parameter group according to the changes in the lycopene content change curve and the preset threshold adjustment analysis rules.

[0093] Specifically, according to the lycopene content change curve and the preset adjustment analysis rules, determining whether to continue updating the adjustment parameter group specifically includes:

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

[0095] That is to say, the present application adjusts the operating temperature according to the decrease and increase of the change trend. The operating temperature adjustment can be obtained by pre-setting the temperature sensor at each production node, and the operating temperature adjustment needs to rely on the parameter adjustment of the different operation settings of the production node, which can be achieved by the PID control algorithm. The preset step size is pre-set by the user, and the present application does not make specific restrictions on this. Positive feedback update can be understood as the case where the change trend is rising, and negative feedback update can be understood as the case where the change trend is falling.

[0096] Through the above scheme, the oil color of the finished lycopene vegetarian oil can be flexibly collected in the production line system, and the lycopene content can be tested for each production node to avoid unstable changes in lycopene, which is easily affected by the environment, during the production process, affecting the quality of the finished product. At the same time, according to the lycopene content, the production parameters can be adjusted in a timely manner to ensure the lycopene content of the product. Without investing a lot of cost, the change of lycopene content can be monitored and controlled simply, quickly, in real time and economically.

[0097] Figure 2 The structure diagram of a lycopene vegetarian oil finished product production control system 200 provided in an embodiment of the present application is as follows: Figure 2 As shown, the lycopene vegetarian oil finished product production control system 200 includes:

[0098] The first determination module 201 is used to determine the color information of the oil in each filled container of the current production node. The filled container includes a transparent area. The oil color information is collected based on the colorimeter set at the corresponding position of the current production node. The second determination module 202 is used to determine the lycopene content corresponding to each oil color information according to the pre-trained oil product identification model. The third determination module 203 is used to determine whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment conditions based on each lycopene content and the historical lycopene content set corresponding to the previous production node. The fourth determination module 204 is used to determine the adjustment parameter group corresponding to the previous production node and / or the later production node according to the lycopene content change curve corresponding to the preset same batch product and the preset production parameter adjustment strategy. The fifth determination module 205 is used to determine the lycopene content change curve corresponding to the preset same batch product of each production node after the production parameters corresponding to the adjustment parameter group are run for a predetermined period of time, so as to 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 determining module 201 is specifically configured to:

[0100] Send a control command to the colorimeter set at the corresponding position of the current production node, so that the colorimeter measures the color data of the transparent area of ​​each filled container passing through its probe, and records it as the Lab value in the Lab color model. The setting position of the probe matches the transparent area. The Lab value includes brightness, red-green axis chromaticity index, and yellow-blue axis chromaticity index. Obtain the Lab value and use it as the oil color information.

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

[0102] Obtain several oil samples labeled with lycopene content. Each oil sample corresponds to a different concentration range of lycopene and has different oil color information. Input each oil sample into the oil product recognition model to be trained to train the oil product recognition model until the output accuracy of the oil product recognition model is greater than a predetermined value, thereby obtaining a pre-trained oil product recognition model. The oil product recognition 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 there is a pre-recorded historical lycopene content in the previous production node. If so, 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 a subset of historical lycopene content at different production nodes. The historical lycopene content subset includes each historical lycopene content of the preset same batch of products. Otherwise, add the preset initial lycopene content to the historical lycopene content set. According to each product of the preset same batch of products, calculate the average value of the 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. When the proportion of the number of products that meet the preset conditions in the preset same batch of products is greater than the first preset threshold, determine that the oil of the preset same batch of products corresponding to the current production node meets the production parameter adjustment conditions. The preset condition is that the first difference is a negative value and / or the second difference is greater than the second preset threshold.

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

[0106] A lycopene content change curve is generated according to the preset lycopene content corresponding to each batch of products and the historical lycopene content set. 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 an adjustment parameter group. The adjustment parameter group at least includes the operating temperature and operating power corresponding to each production node to be adjusted.

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

[0108] When 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 conditions, the lycopene content and the current production node, timestamp, and product identification are recorded in the preset database to be stored as historical lycopene content.

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

[0110] After the production parameters corresponding to the adjustment parameter group are run for a predetermined time, the lycopene content change curve corresponding to the preset same batch of products is determined. The predetermined time is based on the time when the same batch of products arrives at the next production node from the current production node. According to the lycopene content change curve and the preset adjustment analysis rules, 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 determining module 205 is further configured to:

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

[0113] Figure 3 A schematic diagram of a production control device for a lycopene vegetarian oil product provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the device includes:

[0114] At least one processor, and a memory in communication 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 color information of the oil in each filled container of the current production node. The filled container includes a transparent area. The color information of the oil is collected based on the colorimeter set at the corresponding position of the current production node. According to the pre-trained oil product recognition model, determine the lycopene content corresponding to each oil color information. 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 conditions. If so, determine the adjustment parameter group corresponding to the previous production node and / or the later production node according to the lycopene content change curve corresponding to the preset same batch product and the preset production parameter adjustment strategy. After the production parameters corresponding to the adjustment parameter group are run for a predetermined period of time, determine the lycopene content change curve corresponding to the preset same batch product of each production node, so as to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve.

[0116] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system and device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0117] The system and equipment provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the system and equipment also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and equipment will not be repeated here.

[0118] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0119] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for production control of lycopene vegetarian oil finished product, characterized in that: The method is applied to a pre-constructed production line system of a finished lycopene vegetarian oil product; the method comprises: Determine the color information of the oil in each filled container of the current production node; wherein the filled container includes a transparent area; the oil color information is collected based on a colorimeter set at a corresponding position of the current production node; Determining the lycopene content corresponding to each of the oil color information according to a pre-trained oil product identification model; Based on each of the lycopene contents and a set of historical lycopene contents corresponding to previous production nodes, determining whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition; If yes, determining the adjustment parameter group corresponding to the early production node and / or the late production node according to the preset lycopene content change curve corresponding to the same batch of products and the preset production parameter adjustment strategy; After the production parameters corresponding to the adjustment parameter group are run for a predetermined period of time, the lycopene content change curve corresponding to the preset same batch of products of each production node is determined to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve.

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

3. The method for controlling the production of a lycopene vegetarian oil product according to claim 1, characterized in that: Before determining the lycopene content corresponding to each of the oil color information according to the pre-trained oil product identification model, the method further comprises: Obtaining a number of oil samples labeled with lycopene content; each of the oil samples corresponds to a different concentration range of lycopene and has different oil color information; Each of the oil samples is input into the 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, thereby obtaining the pre-trained oil product identification model; the oil product identification model is a machine learning model.

4. The method for controlling the production of a lycopene vegetarian oil product according to claim 1, characterized in that: Based on each of the lycopene contents and the historical lycopene content set corresponding to the previous production nodes, determining whether the oil of the preset same batch product corresponding to the current production node meets the production parameter adjustment condition specifically includes: Determining the previous production node of the current production node; determining whether there is a pre-recorded historical lycopene content at the previous production node; 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; the historical lycopene content subsets include the historical lycopene content of each preset product of the same batch; otherwise, adding the preset initial lycopene content to the historical lycopene content set; According to each product of the preset same batch of products, calculating an average value of differences between the lycopene content and the corresponding historical lycopene content as a first difference; Calculating a second difference between the lycopene content and the standard content; When the proportion of products meeting the preset conditions in the preset products of the same batch is greater than the first preset threshold, it is determined that the oil of the preset products of the same batch corresponding to the current production node meets the production parameter adjustment conditions; the preset conditions are that the first difference is a negative value and / or the second difference is greater than the second preset threshold.

5. The method for controlling the production of a lycopene vegetarian oil product according to claim 1, characterized in that: According to the preset lycopene content change curve corresponding to the same batch of products and the preset production parameter adjustment strategy, the adjustment parameter group corresponding to the early production node and / or the late production node is determined, specifically including: generating the lycopene content variation curve according to the lycopene content corresponding to each of the preset products of the same batch and the historical lycopene content set; Matching the content change trend of the lycopene content change curve with the preset production parameter adjustment strategy; According to the matching result, the corresponding production nodes to be adjusted and the corresponding adjustment parameters are determined to generate the adjustment parameter group; the adjustment parameter group at least includes the operating temperature and the operating power corresponding to each of the production nodes to be adjusted.

6. The method for controlling the production of a lycopene vegetarian oil product according to claim 1, characterized in that: The method further comprises: When 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 and the current production node, timestamp, and product identification are recorded in a preset database to be stored as historical lycopene content.

7. The method for controlling the production of a lycopene vegetarian oil product according to claim 1, characterized in that: After the production parameters corresponding to the adjustment parameter group are run for a predetermined period of time, the lycopene content change curve corresponding to the preset same batch of products of each production node is determined, so as to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve, specifically including: After the production parameters corresponding to the adjustment parameter group are run for a predetermined time, the lycopene content change curve corresponding to the preset same batch of products is determined; wherein the predetermined time is based on the time it takes for the preset same batch of products to arrive at the next production node from the current production node; According to the lycopene content variation curve and preset adjustment analysis rules, it is determined whether to continue updating the adjustment parameter group; the updating includes positive feedback updating and negative feedback updating.

8. The method for controlling the production of a lycopene vegetarian oil product according to claim 7, characterized in that: Determining whether to continue updating the adjustment parameter group according to the lycopene content change curve and the preset adjustment analysis rule specifically includes: Determining a change trend of the lycopene content according to the lycopene content change curve; When the change trend is downward, the operating temperature corresponding to the corresponding production node is reduced according to a preset step size; When the change trend is an upward trend, the operating temperature corresponding to the corresponding production node is increased according to the preset step size.

9. A lycopene vegetarian oil finished product production control system, characterized in that: The system comprises: A first determination module is used to determine the color information of the oil in each filled container of the current production node; wherein the filled container includes a transparent area; and the oil color information is collected based on a colorimeter set at a corresponding position of the current production node; A second determination module is used to determine the lycopene content corresponding to each of the oil color information according to a pre-trained oil product identification model; A third determination module is used 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 of the lycopene contents and the historical lycopene content set corresponding to the previous production nodes; A fourth determination module is used to determine the adjustment parameter group corresponding to the early production node and / or the late production node according to the preset lycopene content change curve corresponding to the same batch of products and the preset production parameter adjustment strategy; The fifth determination module is used to determine the lycopene content change curve corresponding to the preset same batch of products of each production node after the production parameters corresponding to the adjustment parameter group are run for a predetermined time, so as to determine whether to continue to update the adjustment parameter group based on the lycopene content change curve.

10. A lycopene vegetarian oil finished product production control equipment, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for controlling the production of a finished lycopene vegetarian oil as described in any one of claims 1 to 8.

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