A fresh flower intelligent processing method, device and medium based on an industrial internet

Abstract

The application discloses a kind of based on industrial internet's fresh flower intelligent processing method, equipment and medium, method includes: processing node is determined by the industrial internet platform of pre-establishment, has received upstream node transport fresh flower;Determine fresh flower warehousing by drying workshop, control drying equipment in drying workshop and dry fresh flower;By color selection workshop, the color selection grading data corresponding to dry flower is obtained by color selection grading of dry flower;Dry flower is packaged and processed, and the corresponding dry flower product is obtained, and the dry flower product is transported to a plurality of finished product warehouse according to the color selection grading data corresponding to dry flower product;Receive order information, and selected dry flower product is packed and exported according to corresponding mode.In storage dry flower product, it is respectively stored in different finished product warehouse, can be received when order information, in this multiple finished product warehouse, the dry flower product of adaptation is selected and packed and exported quickly, ensure the precision and efficiency of export, improve the delivery efficiency, reduce time consumption.

Description

Technical Field

[0001] This application relates to the field of industrial internet, specifically to a method, equipment, and medium for intelligent processing of fresh flowers based on industrial internet. Background Technology

[0002] To support manufacturing companies in achieving automation, digitalization, networking, and intelligent transformation of the entire industrial chain, improve the efficiency of inter-departmental coordination, connect data across the entire product lifecycle, strengthen quality and safety supervision across the entire chain, and provide visualized quality data covering the entire chain from procurement, processing, and sales, an intelligent manufacturing management system needs to be established based on an industrial internet platform.

[0003] Currently, there is no dedicated platform for intelligent processing of fresh flowers among existing industrial internet platforms. Furthermore, different flowers, after processing, often result in different types and color-sorted grades of dried flowers due to factors such as quality and demand. If industrial internet platforms from other traditional manufacturing industries are used, it becomes difficult to quickly ship the required types and color-sorted dried flowers upon receiving order information, impacting delivery efficiency and increasing time consumption. Summary of the Invention

[0004] To address the aforementioned issues, this application proposes a smart flower processing method based on the Industrial Internet, comprising:

[0005] The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node;

[0006] The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers.

[0007] The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers.

[0008] The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products.

[0009] Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

[0010] In one example, the plurality of finished goods warehouses include: a general finished goods warehouse and a product finished goods warehouse;

[0011] The dried flowers are processed and packaged to obtain corresponding finished dried flower products. Based on the color sorting and grading data of the finished dried flower products, they are then transported to multiple finished product warehouses. Specifically, this includes:

[0012] The dried flowers are transported to the general finished goods warehouse;

[0013] In the finished goods warehouse, dried flowers whose color sorting and grading data meet the preset requirements are selected and transported to the packaging workshop; and packaging materials are transported to the packaging workshop through the packaging material warehouse.

[0014] In the packaging workshop, the dried flowers and packaging materials that meet the preset requirements are packaged and processed to obtain the corresponding dried flower finished products, and the processed dried flower finished products are transported to the finished product warehouse.

[0015] In one example, the plurality of finished product libraries also includes a semi-finished product library;

[0016] In the packaging workshop, the dried flowers and packaging materials that meet the preset requirements are packaged and processed to obtain corresponding finished dried flower products. The processed finished dried flower products are then transported to the finished product warehouse. Specifically, this includes:

[0017] The categories of the dried flowers and the packaging materials are determined, and the corresponding packaging and processing technology is determined. The packaging and processing technology includes finished product packaging and processing technology and semi-finished product packaging and processing technology.

[0018] According to the semi-finished product packaging and processing technology, at least a portion of the dried flowers and packaging materials are packaged and processed in the packaging workshop, and the processed semi-finished dried flowers are transported to the semi-finished product warehouse so that the semi-finished dried flowers in the semi-finished product warehouse can be processed into finished dried flowers when needed.

[0019] According to the finished product packaging process, the remaining dried flowers and packaging materials in the packaging workshop are packaged and processed separately, and the processed dried flower products are transported to the finished product warehouse.

[0020] The processed dried flower products are analyzed to determine the compatibility between the dried flower products and other finished products, and the other finished products with the highest compatibility are selected as the designated finished products. The designated semi-finished products required by the designated finished products in the semi-finished product library are also determined.

[0021] The specified semi-finished products in the semi-finished product warehouse are packaged and processed in order to obtain the specified finished products in advance when no order corresponding to the specified finished products is received.

[0022] In one example, the order information is analyzed to determine the required dried flower products, and the corresponding dried flower products are selected from multiple finished product libraries based on the required dried flower products. The selected dried flower products are then packaged and shipped out according to appropriate methods, specifically including:

[0023] The order information is analyzed to determine the required dried flower products in the finished product warehouse.

[0024] According to the required dried flower products, select the corresponding dried flower products in the finished product library, and according to the preset ratio, select the general products in the general product library that do not belong to the order information and meet the preset ratio.

[0025] The selected dried flower products and the general merchandise products are packaged and shipped out according to the way the general merchandise products are placed around the dried flower products.

[0026] In one example, the dried flowers are processed into different packages to obtain the corresponding finished dried flower products, specifically including:

[0027] Several dried flowers are randomly selected from this batch of dried flowers, and images corresponding to these several dried flowers are collected. An average dried flower image corresponding to this batch of dried flowers is generated based on the images of these several dried flowers.

[0028] The average dried flower image is used as input and fed into a pre-trained neural network model, which outputs the fixed position corresponding to the current batch of dried flowers.

[0029] According to the fixed position, a transparent adhesive material is applied to each dried flower in this batch of dried flowers to facilitate the adhesion and fixation of each dried flower to other objects.

[0030] In one example, before inputting the images corresponding to the plurality of dried flowers into a pre-trained neural network model and outputting the fixed positions corresponding to the current batch of dried flowers, the method further includes:

[0031] Capture an image of a flower arrangement, wherein the container in the flower arrangement image is made of a transparent material, or the height of the container is lower than a preset height;

[0032] In the flower arrangement image, for each flower, the position where the flower contacts other objects is marked, and the marked position is used as a label. The marked position does not include the position where the flower contacts the bottom of the container.

[0033] The flower arrangement images are used as a training set to train a neural network model. The neural network model outputs the position where each flower has the most contact with other objects in the flower arrangement image, and the position with the most contact is taken as the fixed position of the flower.

[0034] In one example, before the processing node determines that it has received flowers transported by the upstream node through a pre-built industrial internet platform, the method further includes:

[0035] An industrial internet platform is built corresponding to the processing nodes, and a connection is established between the industrial internet platform and the primary platform to use a unified identifier resolution system. This unified identifier resolution system enables the unified procurement, warehousing, processing, and order data standardization and synchronization of the processing nodes. Furthermore, by registering product identifier codes of the upstream and downstream nodes of the processing nodes, data collection in the planting, procurement, production, and distribution stages is achieved. By parsing and binding distribution channel incentives and digital marketing, service-oriented extension service scenarios are realized.

[0036] Construct the underlying blockchain technology corresponding to the industrial internet platform to realize data storage and notarization of each node in the industrial internet platform;

[0037] Configure an intelligent edge all-in-one machine and establish a device network between the intelligent edge all-in-one machine and the industrial internet platform, so as to collect the operation data of the corresponding devices through the intelligent edge all-in-one machine and realize the network monitoring of the corresponding devices;

[0038] The industrial internet platform is integrated with the ERP system to develop a procurement management module through the ERP system. The procurement management module includes at least one of material requisition, enterprise management review, and procurement order placement.

[0039] The industrial internet platform is associated with the online store manager, and a packing slip printer, PDA device and outer packaging coding management device are deployed to realize automatic verification of order information and packing information through the developed packing management system in the online store manager;

[0040] The system associates order information in the online store manager with inventory data in multiple finished product warehouses, and synchronizes the inventory data and schedules production for each shift through the order scheduling system.

[0041] In one example, an intelligent edge device is configured, and a device network is established between the intelligent edge device and the industrial internet platform to collect operational data of the corresponding devices through the intelligent edge device, thereby realizing network monitoring of the corresponding devices. Specifically, this includes:

[0042] Configure network switches to build a network for nodes and upgrade the workshop's intranet to provide a foundation for establishing device networking between the intelligent edge all-in-one machine and the industrial internet platform;

[0043] Vibrating screens and conveyor belts are installed in the workshop to enable intelligent collaborative control of the vibrating screens and conveyor belts, and on-site data acquisition and control equipment is installed to achieve intelligent collaboration.

[0044] Weight detection equipment is added to the drying workshop, pressure sensors are installed on the guide rails of the drying workshop, and the equipment is networked through PLC to collect corresponding temperature data, running time data, and power data.

[0045] A smart cockpit is set up to collect real-time data from the industrial internet platform, thereby displaying equipment operation status and enabling remote access to production and operation data based on the set production operation screen and production dashboard in the drying workshop.

[0046] On the other hand, this application also proposes a smart flower processing device based on the Industrial Internet, comprising:

[0047] At least one processor; and,

[0048] A memory communicatively connected to the at least one processor; wherein,

[0049] The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to perform actions such as:

[0050] The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node;

[0051] The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers.

[0052] The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers.

[0053] The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products.

[0054] Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

[0055] On the other hand, this application also proposes a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0056] The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node;

[0057] The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers.

[0058] The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers.

[0059] The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products.

[0060] Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

[0061] The intelligent flower processing method based on the Industrial Internet proposed in this application can bring the following beneficial effects:

[0062] Leveraging the common technological capabilities of cross-platform industrial internet, the fresh flower processing process is automated, digitalized, networked, and intelligentized. Intelligent edge computing devices enable network connectivity, collecting operational data and facilitating networked monitoring, thereby providing intelligent production control services. When storing dried flower products, they are stored in separate finished product warehouses. Upon receiving an order, suitable dried flower products can be quickly selected from these warehouses for packaging and dispatch, ensuring accurate and efficient dispatch, improving delivery speed, and reducing time consumption. Attached Figure Description

[0063] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0064] Figure 1 This is a flowchart illustrating a smart flower processing method based on the Industrial Internet, as described in an embodiment of this application.

[0065] Figure 2 A detailed flowchart illustrating an intelligent flower processing method based on the Industrial Internet is provided for embodiments of this application.

[0066] Figure 3 This is a schematic diagram of a smart flower processing device based on the Industrial Internet, as described in this application embodiment. Detailed Implementation

[0067] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0068] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0069] like Figure 1 As shown in the embodiments of this application, a smart flower processing method based on the Industrial Internet is provided. Figure 2 This application provides a detailed flowchart illustrating a smart flower processing method based on the Industrial Internet, as illustrated in the following embodiments. Figure 1 and Figure 2 Provide an explanation.

[0070] like Figure 1 and Figure 2 As shown, the method includes:

[0071] S101: The processing node uses a pre-built industrial internet platform to determine that it has received the flowers transported by the upstream node.

[0072] Processing nodes refer to the points where fresh flowers are processed, including drying workshops, packaging workshops, and multiple finished product warehouses. Upstream nodes can issue planting cards, and processing nodes can scan the codes to collect the flowers and complete the transportation process. These planting cards can have corresponding QR codes; scanning the code allows access to an industrial internet platform, where flower collection and related information can be retrieved. This completes the flower collection step in the process flow.

[0073] S102: The fresh flowers are confirmed to be stored in the drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers.

[0074] The drying workshop first arranges the transported fresh flowers on trays and shelves, placing them on conveyor belts and other appropriate equipment, before they enter the drying room to begin drying. The flowers are moved in and out of the drying room using appropriate inbound and outbound equipment; after leaving the drying room, the flowers are dried.

[0075] S103: Determine that the fresh flowers have left the flower drying workshop and entered the color sorting workshop, and perform color sorting and grading on the dried flowers in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers.

[0076] After leaving the drying workshop, the dried flowers enter the color sorting workshop, where they are sorted and graded. After being weighed and graded, they are packed into boxes, thus completing the flower drying process.

[0077] S104: The dried flowers are packaged and processed to obtain corresponding dried flower finished products, and the dried flower finished products are transported to multiple finished product warehouses according to the color sorting and grading data corresponding to the dried flower finished products. Different finished product warehouses are used to store different types of dried flower finished products.

[0078] After weighing and packing, the dried flowers are stored in multiple finished product warehouses according to the corresponding color sorting and grading data (the multiple finished product warehouses will be explained in detail below). The dried flowers are stored in different finished product warehouses, thus completing the step of packaging dried flowers.

[0079] S105: Receive order information, analyze the order information to determine the required dried flower products, select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack and ship the selected dried flower products according to the corresponding method.

[0080] After receiving an order through the online store manager (including the order processing module within the e-commerce platform, which can implement online store management functions through the corresponding e-commerce platform system), the order is shipped from multiple finished goods warehouses to complete the order. Of course, the shipping methods for different finished goods warehouses can be different, for example... Figure 2 As shown, finished goods in the inventory can be shipped through the logistics warehouse after the goods are picked, packed, and labeled. Consolidated finished goods in the general inventory can be shipped directly through the general sales model, bypassing the logistics warehouse. Of course, this option is not required. Figure 2 Instead of the traditional method, the two are combined before shipment. For example, in the same order, dried flowers from both the general finished goods warehouse and the product finished goods warehouse are combined and shipped through the logistics warehouse.

[0081] In one embodiment, the multiple finished goods warehouses include: a general finished goods warehouse and a product finished goods warehouse.

[0082] At this point, when transporting dried flower products to multiple finished product warehouses, the dried flowers are first transported to the general finished product warehouse, where they are then selected. Dried flowers whose color sorting and grading data meet the preset requirements (for example, selecting dried flowers with excellent color sorting and grading data) are then transported to the packaging workshop. At this time, the packaging materials are also transported to the packaging workshop through the packaging material warehouse. Of course, the packaging materials in the packaging material warehouse can be purchased from other nodes by placing orders.

[0083] In the packaging workshop, dried flowers and packaging materials that meet the preset requirements are packaged and processed to obtain corresponding dried flower products. At this time, what is obtained is not just dried flowers, but dried flower products that have been combined to a certain extent. The processed dried flower products are then transported to the finished product warehouse.

[0084] Furthermore, the multiple finished goods warehouses also include semi-finished goods warehouses.

[0085] During the repackaging process, the categories of dried flowers and packaging materials are first determined (for example, dried flowers belong to roses, Chinese roses, etc., and packaging materials belong to plastics, paper, etc.), and the corresponding repackaging process is determined. The repackaging process includes finished product repackaging process and semi-finished product repackaging process.

[0086] During the repackaging process, according to the semi-finished product repackaging process, at least a portion of the dried flowers and packaging materials are repackaged in the repackaging workshop, and the resulting semi-finished dried flower products are transported to the semi-finished product warehouse. At this point, they are semi-finished products, which can be quickly processed into finished products when needed later.

[0087] Furthermore, according to the finished product packaging process, the remaining dried flowers and packaging materials are packaged and processed in the packaging workshop, and the resulting dried flower products are then transported to the finished product warehouse. The specific allocation ratio can be preset or set based on the current sales situation of orders; the better the sales situation, the higher the proportion of products directly processed into dried flower products.

[0088] Furthermore, analyzing the processed dried flower products can determine their compatibility with other products. Compatibility refers to the probability that using one type of dried flower product in daily life or industrial applications will lead to the use of another. For example, in flower arranging, two types of flowers are frequently used in the same potted plant, indicating a high compatibility between them.

[0089] At this point, the other finished product with the highest compatibility is selected as the designated finished product, and the required semi-finished products in the semi-finished product library are determined. That is, which semi-finished products are needed to obtain the designated finished product. Although there is no order for the designated finished product at this time, the compatibility between the two is very high. The designated semi-finished products in the semi-finished product library can be repackaged and processed to obtain the designated finished product in advance when no order for the corresponding product is received, thereby further improving processing efficiency.

[0090] Additionally, when packing and shipping orders, the order information can be analyzed to determine the required dried flower products in the finished product inventory, i.e., which dried flower products are needed in the order. Then, based on the required dried flower products, the corresponding dried flower products are selected from the finished product inventory, and according to a preset ratio, generic products that are not included in the order information and meet the preset ratio are selected from the generic finished product inventory. The selected required dried flower products and generic products are then packaged and shipped with the generic products surrounding the required dried flower products. Since the products in the generic finished product inventory are usually of lower quality, they can be packaged as a gift around the required dried flower products in the customer's order to prevent damage during transportation.

[0091] In one embodiment, when processing dried flowers into finished products, for some customers' flower arrangement needs, it is often difficult to fix them during the arrangement process, requiring the purchase of additional fixing materials. In this case, several dried flowers can be randomly selected from the current batch, and images of these selected flowers can be collected. An average dried flower image corresponding to this batch can then be generated based on these images. The average image is similar to generating an average face from a face database, and can be generated using a corresponding neural network model.

[0092] The average dried flower image is used as input to a pre-trained neural network model. The output reveals the fixed positions of the dried flowers in this batch, which are the most frequently used positions for securing the flowers during the flower arrangement process. Based on these fixed positions, a transparent adhesive material (such as double-sided tape) is applied to each dried flower in this batch to facilitate its attachment and fixation to other objects.

[0093] When training the neural network model, images of flower arrangements can be acquired first. To ensure successful annotation in the images, only images of flower arrangements with transparent containers or containers shorter than a preset height can be selected. Within each flower image, the positions where the flower contacts other objects are marked, serving as labels. The marked positions do not include the areas where the flower contacts the bottom of the container, as these areas will not be used for fixing and may be submerged in water, making them unsuitable for adhesive bonding.

[0094] Using the flower arrangement images as a training set, a neural network model is trained. The neural network model can then output the position where each flower makes the most contact with other objects in the flower arrangement image (such as other flowers or the side wall of the container). This position is then used as the fixed position of the flower, and adhesive materials can be applied to it.

[0095] In one embodiment, when building an internet platform, an industrial internet platform corresponding to the processing node is built, and a connection is established with the primary platform in the industrial internet platform to unify the identifier resolution system. This unified identifier resolution system enables the processing node to achieve unified procurement, warehousing, processing, and order data standards and synchronization. Furthermore, by registering product identification codes of upstream and downstream nodes of the processing node, data collection in the planting, procurement, production, and distribution stages is achieved. By parsing and binding distribution channel incentives and digital marketing, service-oriented extension service scenarios are realized.

[0096] To construct the underlying blockchain technology corresponding to the industrial internet platform, so as to realize data storage and notarization of each node in the industrial internet platform;

[0097] Configure an intelligent edge all-in-one machine and establish a device network between the intelligent edge all-in-one machine and the industrial internet platform to collect the operating data of the corresponding devices through the intelligent edge all-in-one machine and realize the network monitoring of the corresponding devices;

[0098] The industrial internet platform is integrated with the ERP system to develop a procurement management module through the ERP system. The procurement management module includes at least one of the following: material requisition, enterprise management review, and procurement order placement.

[0099] The industrial internet platform is linked with the online store manager, and packing slip printers, PDA devices and outer packaging coding management devices are deployed to automatically verify the packing information of orders through the development and packing management system in the online store manager.

[0100] It connects order information in the online store manager and inventory data in multiple finished product warehouses, and realizes the synchronization of inventory data and production scheduling of personnel in each shift through the order scheduling system.

[0101] Specifically, when configuring the intelligent edge all-in-one machine, a network switch is configured to build the network of the nodes and to transform the workshop's intranet in order to provide a foundation for establishing device networking between the intelligent edge all-in-one machine and the industrial internet platform.

[0102] Vibrating screens and conveyor belts are installed in the workshop to enable intelligent collaborative control of the vibrating screens and conveyor belts, and on-site data acquisition and control equipment is installed to achieve intelligent collaboration.

[0103] Weight detection equipment was added to the drying workshop, pressure sensors were installed on the guide rails in the drying workshop, and the equipment was networked through PLC to collect relevant temperature data, running time data, and power data.

[0104] A smart cockpit is set up to gather real-time data from the industrial internet platform, thereby displaying equipment operation status and enabling remote access to production and operation data based on the set-up production operation screen and production dashboard in the drying workshop.

[0105] like Figure 3 As shown, this application also provides a smart flower processing device based on the Industrial Internet, including:

[0106] At least one processor; and,

[0107] A memory communicatively connected to the at least one processor; wherein,

[0108] The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to perform actions such as:

[0109] The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node;

[0110] The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers.

[0111] The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers.

[0112] The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products.

[0113] Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

[0114] This application also provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0115] The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node;

[0116] The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers.

[0117] The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers.

[0118] The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products.

[0119] Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

[0120] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device and medium embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the description of the method embodiments.

[0121] The devices and media provided in this application are one-to-one with the methods. Therefore, the devices and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0122] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0123] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0124] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0125] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0126] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0127] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0128] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0129] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0130] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A smart processing method for fresh flowers based on the Industrial Internet, characterized in that, include: The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node; The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers. The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers. The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products. The dried flowers are then packaged and processed to obtain the corresponding finished dried flower products, specifically including: Several dried flowers are randomly selected from this batch of dried flowers, and images corresponding to these several dried flowers are collected. An average dried flower image corresponding to this batch of dried flowers is generated based on the images of these several dried flowers. The average dried flower image is used as input and fed into a pre-trained neural network model, which outputs the fixed position corresponding to the current batch of dried flowers. According to the fixed position, a transparent adhesive material is set on each dried flower in this batch of dried flowers to facilitate the adhesion and fixation of each dried flower to other objects; Before inputting the images corresponding to the plurality of dried flowers into a pre-trained neural network model and outputting the fixed positions corresponding to the current batch of dried flowers, the method further includes: Capture an image of a flower arrangement, wherein the container in the flower arrangement image is made of a transparent material, or the height of the container is lower than a preset height; In the flower arrangement image, for each flower, the position where the flower contacts other objects is marked, and the marked position is used as a label. The marked position does not include the position where the flower contacts the bottom of the container. The flower arrangement images are used as a training set to train a neural network model. The neural network model outputs the position where each flower has the most contact with other objects in the flower arrangement image, and the position with the most contact is taken as the fixed position of the flower. Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

2. The method according to claim 1, characterized in that, The multiple finished goods warehouses include: general finished goods warehouse and product finished goods warehouse; The dried flowers are processed and packaged to obtain corresponding finished dried flower products. Based on the color sorting and grading data of the finished dried flower products, they are then transported to multiple finished product warehouses. Specifically, this includes: The dried flowers are transported to the general finished goods warehouse; In the finished goods warehouse, dried flowers whose color sorting and grading data meet the preset requirements are selected and transported to the packaging workshop; and packaging materials are transported to the packaging workshop through the packaging material warehouse. In the packaging workshop, the dried flowers and packaging materials that meet the preset requirements are packaged and processed to obtain the corresponding dried flower finished products, and the processed dried flower finished products are transported to the finished product warehouse.

3. The method according to claim 2, characterized in that, The multiple finished product warehouses also include semi-finished product warehouses; In the packaging workshop, the dried flowers and packaging materials that meet the preset requirements are packaged and processed to obtain corresponding finished dried flower products. The processed finished dried flower products are then transported to the finished product warehouse. Specifically, this includes: The categories of the dried flowers and the packaging materials are determined, and the corresponding packaging and processing technology is determined. The packaging and processing technology includes finished product packaging and processing technology and semi-finished product packaging and processing technology. According to the semi-finished product packaging and processing technology, at least a portion of the dried flowers and packaging materials are packaged and processed in the packaging workshop, and the processed semi-finished dried flowers are transported to the semi-finished product warehouse so that the semi-finished dried flowers in the semi-finished product warehouse can be processed into finished dried flowers when needed. According to the finished product packaging process, the remaining dried flowers and packaging materials in the packaging workshop are packaged and processed separately, and the processed dried flower products are transported to the finished product warehouse. The processed dried flower products are analyzed to determine the compatibility between the dried flower products and other finished products, and the other finished products with the highest compatibility are selected as the designated finished products. The designated semi-finished products required by the designated finished products in the semi-finished product library are also determined. The specified semi-finished products in the semi-finished product warehouse are packaged and processed in order to obtain the specified finished products in advance when no order corresponding to the specified finished products is received.

4. The method according to claim 2, characterized in that, The order information is analyzed to determine the required dried flower products. Based on the required dried flower products, the corresponding dried flower products are selected from multiple finished product libraries. The selected dried flower products are then packaged and shipped out according to appropriate methods, specifically including: The order information is analyzed to determine the required dried flower products in the finished product warehouse. According to the required dried flower products, select the corresponding dried flower products in the finished product library, and according to the preset ratio, select the general products in the general product library that do not belong to the order information and meet the preset ratio. The selected dried flower products and the general merchandise products are packaged and shipped out according to the way the general merchandise products are placed around the dried flower products.

5. The method according to claim 1, characterized in that, Before the processing node determines that it has received flowers transported from the upstream node through a pre-built industrial internet platform, the method further includes: An industrial internet platform is built corresponding to the processing nodes, and a connection is established between the industrial internet platform and the primary platform to use a unified identifier resolution system. This unified identifier resolution system enables the unified procurement, warehousing, processing, and order data standardization and synchronization of the processing nodes. Furthermore, by registering product identification codes of the upstream and downstream nodes of the processing nodes, data collection in the planting, procurement, production, and distribution stages is achieved. By parsing and binding distribution channel incentives and digital marketing, service-oriented extension service scenarios are realized. Construct the underlying blockchain technology corresponding to the industrial internet platform to realize data storage and notarization of each node in the industrial internet platform; Configure an intelligent edge all-in-one machine and establish a device network between the intelligent edge all-in-one machine and the industrial internet platform, so as to collect the operation data of the corresponding devices through the intelligent edge all-in-one machine and realize the network monitoring of the corresponding devices; The industrial internet platform is integrated with the ERP system to develop a procurement management module through the ERP system. The procurement management module includes at least one of material requisition, enterprise management review, and procurement order placement. The industrial internet platform is associated with the online store manager, and a packing slip printer, PDA device and outer packaging coding management device are deployed to realize automatic verification of order information and packing information through the developed packing management system in the online store manager; The system associates order information in the online store manager with inventory data in multiple finished product warehouses, and synchronizes the inventory data and schedules production for each shift through the order scheduling system.

6. The method according to claim 5, characterized in that, Configure an intelligent edge computing device and establish a device network between the intelligent edge computing device and the industrial internet platform to collect the operating data of the corresponding devices through the intelligent edge computing device, thereby realizing network monitoring of the corresponding devices, specifically including: Configure network switches to build a network for nodes and upgrade the workshop's intranet to provide a foundation for establishing device networking between the intelligent edge all-in-one machine and the industrial internet platform; Vibrating screens and conveyor belts are installed in the workshop to enable intelligent collaborative control of the vibrating screens and conveyor belts, and on-site data acquisition and control equipment is installed to achieve intelligent collaboration. Weight detection equipment is added to the drying workshop, pressure sensors are installed on the guide rails of the drying workshop, and the equipment is networked through PLC to collect corresponding temperature data, running time data, and power data. A smart cockpit is set up to collect real-time data from the industrial internet platform, thereby displaying equipment operation status and enabling remote access to production and operation data based on the set production operation screen and production dashboard in the drying workshop.

7. A smart flower processing device based on the Industrial Internet, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to perform actions such as: The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node; The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers. The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers. The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products. The dried flowers are then packaged and processed to obtain the corresponding finished dried flower products, specifically including: Several dried flowers are randomly selected from this batch of dried flowers, and images corresponding to these several dried flowers are collected. An average dried flower image corresponding to this batch of dried flowers is generated based on the images of these several dried flowers. The average dried flower image is used as input and fed into a pre-trained neural network model, which outputs the fixed position corresponding to the current batch of dried flowers. According to the fixed position, a transparent adhesive material is set on each dried flower in this batch of dried flowers to facilitate the adhesion and fixation of each dried flower to other objects; Before inputting the images corresponding to the plurality of dried flowers into a pre-trained neural network model and outputting the fixed positions corresponding to the current batch of dried flowers, the process further includes: Capture an image of a flower arrangement, wherein the container in the flower arrangement image is made of a transparent material, or the height of the container is lower than a preset height; In the flower arrangement image, for each flower, the position where the flower contacts other objects is marked, and the marked position is used as a label. The marked position does not include the position where the flower contacts the bottom of the container. The flower arrangement images are used as a training set to train a neural network model. The neural network model outputs the position where each flower has the most contact with other objects in the flower arrangement image, and the position with the most contact is taken as the fixed position of the flower. Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

8. A non-volatile computer storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are set as follows: The processing node uses a pre-built industrial internet platform to determine whether it has received flowers transported from the upstream node; The fresh flowers are placed in the warehouse through a drying workshop, and the drying equipment in the drying workshop is controlled to dry the fresh flowers to obtain dried flowers. The fresh flowers are determined to be taken out of the fresh flower drying workshop and enter the color sorting workshop. The dried flowers are then color sorted and graded in the color sorting workshop to obtain the color sorting and grading data corresponding to the dried flowers. The dried flowers are packaged and processed to obtain corresponding dried flower finished products. Based on the color sorting and grading data of the dried flower finished products, the dried flower finished products are transported to multiple finished product warehouses. Different finished product warehouses are used to store different types of dried flower finished products. The dried flowers are then packaged and processed to obtain the corresponding finished dried flower products, specifically including: Several dried flowers are randomly selected from this batch of dried flowers, and images corresponding to these several dried flowers are collected. An average dried flower image corresponding to this batch of dried flowers is generated based on the images of these several dried flowers. The average dried flower image is used as input and fed into a pre-trained neural network model, which outputs the fixed position corresponding to the current batch of dried flowers. According to the fixed position, a transparent adhesive material is applied to each dried flower in this batch of dried flowers to facilitate the adhesion and fixation of each dried flower to other objects; Before inputting the images corresponding to the plurality of dried flowers into a pre-trained neural network model and outputting the fixed positions corresponding to the current batch of dried flowers, the process further includes: Capture an image of a flower arrangement, wherein the container in the flower arrangement image is made of a transparent material, or the height of the container is lower than a preset height; In the flower arrangement image, for each flower, the position where the flower contacts other objects is marked, and the marked position is used as a label. The marked position does not include the position where the flower contacts the bottom of the container. The flower arrangement images are used as a training set to train a neural network model. The neural network model outputs the position where each flower has the most contact with other objects in the flower arrangement image, and the position with the most contact is taken as the fixed position of the flower. Receive order information and analyze the order information to determine the required dried flower products. Select the corresponding dried flower products from the multiple finished product libraries according to the required dried flower products, and pack the selected dried flower products into the warehouse in the appropriate manner.

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