Order processing system of central kitchen

Abstract

The invention relates to an order processing system for a central kitchen, and the system comprises a first client which is used for receiving an instruction and generating a purchase order; the order receiving client is used for receiving the purchase order and analyzing the purchase order to form a meal supply plan; the production processing client communicates with the order receiving client, and creates a corresponding processing instruction list, a kitchen heating instruction list and a cooking instruction list according to the meal supply plan; and the collection client communicates with the acquisition client, and creates a corresponding purchase instruction list, a storage instruction list and a transportation instruction list according to the meal supply plan. According to the invention, a weak server-side and strong client-side mode is adopted, the client-side is dominated to carry out order processing, and the adjacent client-side is used as a jump interface to realize automatic order convergence and arrangement of multiple client-sides, so that the order processing efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of food supply chain management, specifically to an order processing system for a central kitchen. Background Art

[0002] In traditional central kitchens (such as steamed bun factories), the order processing process often relies on manual operations, which leads to a series of problems, such as errors prone to occur during operations, low processing efficiency, poor customer experience, etc. These deficiencies seriously affect the operation efficiency and market competitiveness of enterprises. Although enterprises have adopted various management methods to try to improve the status quo, the effects are not significant.

[0003] In recent years, attempts have been made to introduce a more automated order processing system, including the following components: an order receiving module, an order processing module, an inventory management module, a production scheduling module, and a customer service module. When the system works, the order receiving module first receives customer orders, and then the order processing module classifies, reviews, and allocates the orders; the inventory management module monitors the inventory situation in real time to ensure the sufficiency of raw materials required for production; the production scheduling module formulates a production plan according to order requirements and inventory situations; the customer service module is responsible for communicating with customers and providing after-sales services. However, when dealing with complex and changeable business requirements, there are still certain limitations.

[0004] With the development of cloud computing, attempts have also been made to introduce cloud computing technology to implement functions such as order processing, production scheduling, and inventory management. When the system works, orders are received and processed through the cloud, and the production scheduling and inventory management modules can obtain cloud data in real time, thereby improving processing efficiency. However, in actual applications, order processing is interrupted due to the stability problems of the cloud computing platform, affecting enterprise operations.

[0005] Therefore, problems such as single functions and inability to meet complex and changeable business requirements still need to be further solved and optimized for the existing technical solutions.

[0006] The information disclosed in this background art section is only intended to deepen the understanding of the overall background art of the present invention, and should not be regarded as an admission or any form of implication that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0007] Aiming at the defects existing in the prior art, the purpose of the present invention is to provide an order processing system for a central kitchen, adopting a weak server and strong client mode, leading order processing with the client as the dominant, and using the adjacent client as a jump interface to realize automatic order aggregation and sorting of multiple clients, so as to improve the efficiency and accuracy of order processing.

[0008] To achieve the above object, the technical solution adopted by the present invention is:

[0009] The order processing system of the central kitchen is characterized by including:

[0010] The first client, which is used to receive instructions and generate purchase orders;

[0011] The order receiving client, which is used to receive purchase orders and form a meal supply plan after parsing the purchase orders;

[0012] The production and processing client communicates with the order receiving client and creates corresponding processing instruction sheets, hot kitchen instruction sheets and ripening instruction sheets according to the meal supply plan;

[0013] The centralized procurement client communicates with the order receiving client and creates corresponding procurement instruction sheets, warehousing instruction sheets and transportation instruction sheets according to the meal supply plan.

[0014] On the basis of the above technical solution, it further includes:

[0015] The second client is used to collect nearby purchase orders created by the first client according to the geographical location, and classify and sort the orders according to the order type, order quantity and customer level;

[0016] The second client, as a transfer station, packs and sends the classified and sorted purchase orders to the order receiving client.

[0017] On the basis of the above technical solution, it further includes:

[0018] The menu client is used to push the latest list of purchasable products to the first client;

[0019] After receiving the push information, the first client updates the list of purchasable products stored locally;

[0020] The first client sends a purchasable product list update prompt to the second client.

[0021] On the basis of the above technical solution, when the second client collects purchase orders, it verifies whether the purchase orders are created based on the latest list of purchasable products. If not, the second client pushes the latest list of purchasable products to the corresponding first client.

[0022] On the basis of the above technical solution, it further includes:

[0023] The server stores the processing results of each client, generates monitoring logs and various business reports, and provides data analysis to support business decision-making and optimization.

[0024] On the basis of the above technical solution, it further includes:

[0025] The demand forecasting module is set in the first client. It introduces an intelligent forecasting algorithm, predicts the trend of future purchase orders by learning the data of historical purchase orders, creates virtual purchase orders when receiving instructions, and recommends that users activate them as purchase orders.

[0026] On the basis of the above technical solution, the communication method between the second client and the first client is defaulted to any one of the following:

[0027] The second client and the first client interact data by using the Bluetooth communication method;

[0028] The second client and the first client access the same wireless network and interact data;

[0029] Both the second client and the first client access the same server through authentication and interact data through the server.

[0030] On the basis of the above technical solution, it further includes:

[0031] The customer level dynamic management module is set in the first client. Based on one or more of the following key indicators, it dynamically adjusts the customer level: purchase history, order frequency, order size, and customer importance;

[0032] Based on the algorithm, according to the preset period, it dynamically adjusts the customer level according to the level rules.

[0033] On the basis of the above technical solution, it further includes:

[0034] The intelligent order splitting and merging module is set in the second client. For large - batch orders, it splits them into multiple small - batch orders to adapt to the production capacity of the production line, or for multiple small - batch similar orders, it merges them into one large - batch order to reduce costs.

[0035] On the basis of the above technical solution, it further includes:

[0036] The early warning and tracking module is set in each client respectively. It is used for dynamically monitoring data and sending out security early warning prompts, collecting the production processing progress, and presenting the progress situation and current status of each production link.

[0037] The order processing system of the central kitchen described in the present invention has the following beneficial effects:

[0038] Adopting a weak server and strong client mode, it takes the client as the leading party for order processing, and uses the adjacent client as the jump interface to realize the automatic order aggregation and sorting of multiple clients, so as to improve the efficiency and accuracy of order processing.

[0039] Through precise order processing and efficient supply chain management, this system can ensure that food is delivered to customers on time, in quality, and in quantity, which can improve customer satisfaction, enhance customer stickiness, and win a good reputation and brand image for the enterprise.

[0040] In the system, the order forms and relevant information of each link are recorded in detail. Therefore, when food safety problems occur, the source of the problem can be quickly traced, and effective measures can be taken to solve it. Brief Description of the Drawings

[0041] The present invention has the following drawings:

[0042] The drawings are used to better understand the present invention and do not constitute an improper limitation to the present invention. Among them:

[0043] Figure 1 System architecture diagram of the first embodiment of the order processing system of the central kitchen described in the present invention.

[0044] Figure 2 System architecture diagram of the second embodiment of the order processing system of the central kitchen described in the present invention.

[0045] Figure 3 System architecture diagram of the third embodiment of the order processing system of the central kitchen described in the present invention. Detailed Description of the Invention

[0046] The following further describes the present invention in detail with reference to the drawings. The detailed description is made in combination with the exemplary embodiments of the present invention, including various details of the embodiments of the present invention to facilitate understanding. It should be considered that they are only exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted below.

[0047] As Figure 1 shown, the order processing system of the central kitchen described in the present invention includes:

[0048] The first client is used to receive instructions and generate purchase orders;

[0049] The order receiving client is used to receive purchase orders and form a meal supply plan after parsing the purchase orders;

[0050] The production and processing client communicates with the order receiving client and creates corresponding processing order forms, hot kitchen order forms, and ripening order forms according to the meal supply plan;

[0051] The centralized procurement client communicates with the order receiving client and creates corresponding procurement order forms, warehousing order forms, and transportation order forms according to the meal supply plan.

[0052] The workflow of this embodiment is as follows:

[0053] The user sends an instruction, and a purchase order is generated through the first client, including required products, quantities, expected delivery times, etc.;

[0054] The order receiving client is responsible for receiving the purchase order from the first client, parsing the purchase order, and forming a meal preparation plan based on the order content, including which dishes need to be prepared, the quantity of each dish, and the preparation schedule;

[0055] The production and processing client communicates with the order receiving client, receives the meal preparation plan, and creates specific processing instruction sheets based on these plans, including:

[0056] Processing instruction sheet: A document that details the food processing steps, required raw materials, processing equipment, processing parameters (such as temperature, time, pressure, etc.), and quality control standards; it guides the staff on the production line on how to process food according to the predetermined process requirements to ensure product consistency and quality;

[0057] Exemplarily, in a central kitchen, the processing instruction sheet can be used to guide the processing processes such as the shaping, cutting, mixing, and fermentation of steamed buns, or the washing and cutting of prepared vegetables;

[0058] Hot kitchen instruction sheet: An instruction sheet formulated for foods that require hot processing, which details the specific steps, cooking methods, required ingredients, seasonings, heat control, cooking time, and other key information for hot processed foods to ensure that the hot processed foods can be made according to the predetermined flavor and taste;

[0059] Exemplarily, in the hot kitchen area of a central kitchen, the hot kitchen instruction sheet can be used to guide the cooking processes of various dishes, such as stir - frying, stewing, steaming, etc.;

[0060] Ripening instruction sheet: An instruction sheet formulated for foods that require ripening treatment, which details the specific temperature, humidity, and time conditions to make the food reach the best taste and flavor state, and lists in detail the parameters and requirements of the ripening process to ensure that the food can be ripened according to the predetermined standards;

[0061] Exemplarily, in a central kitchen, the ripening instruction sheet can be used to guide the fermentation and ripening processes of steamed buns to ensure that the steamed buns can reach the ideal softness and taste; in the meat product processing of a central kitchen, the ripening instruction sheet can also be used to guide the ripening treatment of meat products to improve their taste and flavor;

[0062] The centralized procurement client communicates with the order receiving client, receives the meal preparation plan, and creates procurement instruction sheets, warehousing instruction sheets, and transportation instruction sheets based on these plans, including:

[0063] Purchase Instruction Sheet: A document that lists in detail the items to be purchased. It contains key information such as the name, specifications, quantity, quality requirements, supplier information, purchase price, and delivery time of the items to be purchased. It is a formal document that the purchasing department sends a purchase request to the supplier to ensure the accuracy and timeliness of procurement activities.

[0064] For example, in the operation of a central kitchen, a purchase order can be used to order raw materials (such as flour, yeast, vegetables, etc.), packaging materials, cleaning supplies, and other materials required for production and operation;

[0065] Warehouse instruction sheet: It is a document used to guide warehouse managers to carry out warehousing operations such as warehousing, warehousing, inventory, and transfer of items. It details the specific requirements of warehousing operations, such as the location, quantity, batch, and validity period of items, to ensure that the items in the warehouse are properly stored and managed in an orderly manner;

[0066] For example, in a central kitchen, storage instructions can be used to guide the storage of raw materials, the delivery of finished products, inventory counting, and item transfers to ensure the efficiency and accuracy of warehouse operations.

[0067] Transport Instructions: A document used to guide the transportation of goods, which lists in detail the origin, destination, mode of transportation, transportation time, quantity, packaging requirements, consignee information and other key information of the goods; ensuring that the goods can be safely and punctually delivered to the destination according to the predetermined plan and requirements;

[0068] For example, in a central kitchen, a transportation instruction sheet can be used to guide the incoming transportation of raw materials, the shipping transportation of finished products, etc. It ensures that the food maintains appropriate temperature, humidity and other conditions during transportation to ensure the quality and safety of the food.

[0069] This embodiment realizes the standardization and automation of the whole chain from user ordering to food production and processing, procurement, warehousing, transportation, etc. through the collaborative work of multiple clients, improves work efficiency, reduces human errors, and ensures food quality and safety. The detailed formulation of each instruction sheet in the system (processing instruction sheet, hot kitchen instruction sheet, cooking instruction sheet, procurement instruction sheet, warehousing instruction sheet, and transportation instruction sheet) reflects the refined management of the food production and processing process. Each step has clear requirements and standards to ensure the consistency and high quality of food. The design of the system takes into account future scalability and flexibility. For example, the communication between each client can be mediated by the server, which is convenient for adding new clients or functions later. At the same time, the system also supports the classification and sorting of orders based on factors such as geographic location and order type to meet the needs of different scenarios.

[0070] Based on the above technical solution, as Figure 2 shown, it further includes:

[0071] A second client, which is used to collect nearby purchase orders created by the first client according to the geographical location, and classify and sort the orders according to the order type, order quantity, and customer level;

[0072] The second client serves as a transfer station and packs and sends the classified and sorted purchase orders to the acquirer client.

[0073] In this embodiment, a second client is introduced as a transfer station to collect, classify, and sort purchase orders according to the geographical location, and pack and send the processed orders to the acquirer client. The significance lies in:

[0074] By collecting nearby purchase orders, the frequency of the acquirer client receiving and processing individual orders can be reduced, thereby reducing the system load, improving the overall processing speed, enabling orders to be responded to and processed more quickly, shortening the delivery time, and enhancing customer satisfaction.

[0075] Classifying and sorting the orders according to the order type, order quantity, and customer level helps the acquirer client better understand the order requirements and form a more reasonable meal supply plan; at the same time, classification and sorting also contribute to the efficient coordination of subsequent production, processing, procurement, warehousing, and transportation.

[0076] By collecting nearby orders, the transportation route and transportation batches can be planned more effectively, thereby reducing the logistics cost; for example, multiple small-batch orders can be combined into one large-batch order for transportation, reducing the number of transports and the transportation distance.

[0077] As a transfer station, the second client can flexibly add new order processing logics or functions without changing the existing system architecture; for example, orders can be classified or sorted more meticulously according to specific business requirements.

[0078] Based on the above technical solution, as Figure 3 shown, it further includes:

[0079] A meal list client, which is used to push the latest list of purchasable products to the first client;

[0080] After receiving the push information, the first client updates the list of purchasable products stored locally;

[0081] The first client sends a prompt for updating the list of purchasable products to the second client.

[0082] In this embodiment, a menu client is added to push the latest list of purchasable products, update the locally stored list through the first client, and send an update prompt to the second client at the same time, ensuring that the product information on the first client always remains up-to-date. When the first client receives the updated product list, it can immediately update the locally stored information, which means that when the user creates a purchase order, they can make selections based on the latest product information, reducing order errors or cancellations caused by outdated product information and improving the efficiency of order processing.

[0083] The first client sending an update prompt for the purchasable product list to the second client helps the second client consider the latest product information when aggregating and classifying orders, ensuring information consistency throughout the order processing flow and enhancing the coordination among the components of the system.

[0084] The menu client can also support dynamic inventory management. For example, the product list pushed by the menu client can include inventory information, which helps enterprises understand the inventory status of products in real time. Combining subsequent procurement, warehousing, and transportation links, enterprises can achieve more accurate inventory management and forecasting, reducing inventory backlogs or out-of-stock situations. Through the product list pushed by the menu client, enterprises can flexibly adjust sales strategies, such as launching new products, conducting promotional activities, or adjusting prices, and these strategies can be quickly communicated to users, promoting sales growth.

[0085] Based on the above technical solution, when the second client aggregates purchase orders, it checks whether the purchase order is created based on the latest list of purchasable products. If it is not based on the latest list of purchasable products, the second client pushes the latest list of purchasable products to the corresponding first client.

[0086] In this embodiment, by checking whether the purchase order is created based on the latest list of purchasable products, the second client can ensure that the aggregated orders are valid and executable, avoiding order errors or unfulfillable situations caused by outdated product information and improving the accuracy and reliability of order processing. If the purchase order of the first client is not based on the latest product list, the second client will promptly push the updated list, which helps the first client quickly correct the order information, reducing the number of order modifications or cancellations caused by information inconsistency, thus improving the efficiency of the entire order processing flow. For users, being able to timely understand the latest product information and create orders accordingly is a good shopping experience. The verification and push functions of the second client ensure that users can always place orders based on the latest product information, enhancing user satisfaction and loyalty. By ensuring that orders are created based on the latest product information, the verification function of the second client helps reduce operational risks caused by inconsistent product information. This includes risks such as reducing inventory backlogs, avoiding out-of-stock situations, and lowering return rates.

[0087] Based on the above technical solution, it further includes:

[0088] A server that stores the processing results of each client, generates monitoring logs and various business reports, and provides data analysis to support business decision-making and optimization.

[0089] Exemplarily, the business reports include sales reports, procurement reports, inventory reports, etc.

[0090] The communication and positioning between each client can be achieved in various ways to ensure that they can know the locations and access addresses of other clients; Exemplarily, the server can be used as an intermediary, and all clients are authenticated and connected to the same or the same group of servers. After a client goes online and is authenticated, it can synchronize the latest data interaction-related information of each client including itself; Exemplarily, a client registration and discovery mechanism is introduced. When a client starts, it registers its address and provided services with the registration center, and other clients can find the client address of the required service by sending a query request to the registration center.

[0091] Based on the above technical solution, it further includes:

[0092] A demand prediction module is set in the first client, which introduces an intelligent prediction algorithm. By learning the data of historical purchase orders, it predicts the trend of future purchase orders, and creates a virtual purchase order when receiving an instruction and recommends that the user activate it as a purchase order;

[0093] Exemplarily, the demand prediction module makes a pre-allocation and recommends a virtual purchase order at the initial stage of the generation phase, which can reduce the operation of creating a purchase order, reduce the complexity of the operation, and improve the efficiency of generating a purchase order.

[0094] In this embodiment, a demand prediction module is added to the first client, and an intelligent prediction algorithm is introduced to predict the trend of future purchase orders. At the same time, a virtual purchase order is recommended for the user to select and activate as needed. The demand prediction module can predict the trend of future orders by learning the data of historical purchase orders, so as to generate a virtual purchase order before the user actually places an order. This reduces the operation steps for the user to create a purchase order, reduces the complexity of the operation, and significantly improves the efficiency of order generation. The user does not need to manually enter order information, and only needs to select and activate the virtual purchase order according to the recommendation of the demand prediction module to quickly complete the order placement process. This intelligent order placement method improves the user's shopping experience and increases the user's satisfaction and loyalty.

[0095] Based on the above technical solution, the communication method between the second client and the first client defaults to any one of the following:

[0096] The second client and the first client interact with each other via Bluetooth communication to exchange data;

[0097] The second client and the first client access the same wireless network and interact with each other to exchange data;

[0098] Both the second client and the first client access the same server through authentication and exchange data through the server. The server is a cloud server or a distributed blockchain server.

[0099] Based on the above technical solutions, it further includes:

[0100] A customer level dynamic management module is set in the first client, and based on one or more of the following key indicators, the customer level is dynamically adjusted: purchase history, order frequency, order size, and customer importance;

[0101] Based on an algorithm, according to a preset period, the customer level is dynamically adjusted according to the level rules.

[0102] Exemplarily, the level rules can be set as follows: when the customer's purchase history reaches a certain quantity, the customer level is increased; when the order frequency increases, the customer level is increased; when the order size exceeds a certain amount, the customer level is increased; when the customer importance indicator reaches a specific standard, the customer level is increased.

[0103] Exemplarily, different customer levels are defined, such as based on purchase history, order frequency, order size, or the importance of the customer to the business. Each level can have different attributes, such as discount rate, priority, minimum order quantity, etc. A customer profile database can be maintained to record the detailed information of each customer, including historical orders, preferences, credit status, and current level.

[0104] When the order is parsed by the acquiring client, different priorities are assigned to the orders according to the customer level, and the orders of high-level customers are processed first.

[0105] Different price strategies are applied according to the customer level. When a purchase order is generated on the first client, different prices are displayed according to the customer's level.

[0106] Different service level agreements are set for customers of different levels, such as delivery time, response time, and quality standards.

[0107] When creating a procurement instruction form on the centralized procurement client, according to the customer level and historical demand prediction, the inventory requirements of high-level customers are preferentially met.

[0108] Based on the above technical solutions, it further includes:

[0109] The intelligent order splitting and merging module is set in the second client. It splits a large number of orders into multiple small - batch orders to adapt to the production capacity of the production line, or merges multiple small - batch similar orders into a large - batch order to reduce costs.

[0110] The intelligent order splitting and merging module enables the second client to flexibly process orders according to the specific situation of the orders and the actual needs of the production line. This flexibility helps enterprises better respond to market changes and the diversity of customer needs.

[0111] For a large number of orders, the intelligent order splitting module can split them into multiple small - batch orders to adapt to the production capacity of the production line. This helps to avoid overloading the production line, ensure the smooth progress of the production process, and improve production efficiency at the same time.

[0112] For multiple small - batch similar orders, the intelligent order merging module can merge them into a large - batch order. By centrally processing large - batch orders, enterprises can enjoy more favorable purchase prices, transportation costs, and warehousing fees, thus reducing the overall cost.

[0113] Based on the above - mentioned technical solutions, it further includes:

[0114] The warning and tracking module is respectively set in each client. It is used to dynamically monitor data and issue security warning prompts, collect the production progress, and present the progress and current status of each production link.

[0115] The warning and tracking module can monitor the data of each client in real - time. Once it detects abnormalities or potential security risks, it immediately issues a warning prompt. Thereby, enterprises can promptly discover and handle security problems, prevent the situation from expanding, and ensure the safe and stable operation of the entire order - processing system. The warning and tracking module helps enterprises better understand the actual operation of the production process. The data and analysis results provided by the module can be an important basis for enterprise decision - making. By comparing and analyzing data from different time periods and different production batches, enterprises can discover the laws and trends in the production process, providing strong support for continuous improvement and optimization.

[0116] The content not described in detail in this specification belongs to the prior art well - known to those skilled in the art.

[0117] The above - mentioned is only the preferred embodiment of the present invention. The protection scope of the present invention is not limited to the above - mentioned embodiment. Any equivalent modification or change made by those skilled in the art according to the content disclosed by the present invention should be included in the protection scope recorded in the claims.

Claims

1. The order processing system of the central kitchen is characterized by: include: A first client, used to receive instructions and generate a purchase order; The acquiring client is used to receive purchase orders, analyze the purchase orders, and form a meal supply plan; The production and processing client communicates with the acquiring client to create corresponding processing instructions, hot cooking instructions, and cooking instructions according to the meal supply plan; The centralized purchasing client communicates with the acquiring client to create corresponding purchase instructions, warehousing instructions and transportation instructions according to the meal supply plan.

2. The central kitchen order processing system according to claim 1, characterized in that: Also includes: The second client is used to collect nearby purchase orders created by the first client according to geographical location, and classify and sort the orders according to order type, order quantity, and customer level; The second client acts as a transfer station and packages the classified and sorted purchase orders and sends them to the acquiring client.

3. The central kitchen order processing system according to claim 2, characterized in that: Also includes: The menu client is used to push the latest list of purchasable products to the first client; After receiving the push information, the first client updates the list of purchasable products stored locally; The first client sends a reminder of updating the list of purchasable products to the second client.

4. The central kitchen order processing system according to claim 3, characterized in that: When collecting purchase orders, the second client verifies whether the purchase orders are created based on the latest list of purchasable products. If not, the second client pushes the latest list of purchasable products to the corresponding first client.

5. The central kitchen order processing system according to claim 1, characterized in that: Also includes: The server stores the processing results of each client, generates monitoring logs and various business reports, and provides data analysis to support business decision-making and optimization.

6. The central kitchen order processing system according to claim 1, characterized in that: Also includes: The demand forecasting module is set in the first client and introduces an intelligent forecasting algorithm. By learning the data of historical purchase orders, it predicts the trend of future purchase orders, creates a virtual purchase order when receiving instructions, and recommends users to activate it as a purchase order.

7. The central kitchen order processing system according to claim 2, characterized in that: The communication method between the second client and the first client is by default any of the following: The second client and the first client exchange data using Bluetooth communication; The second client accesses the same wireless network as the first client and exchanges data; The second client and the first client both access the same server through authentication and exchange data through the server.

8. The central kitchen order processing system according to claim 2, characterized in that: Also includes: A customer grade dynamic management module, disposed on the first client, dynamically adjusts the customer grade based on one or more of the following key indicators: purchase history, order frequency, order size, and customer importance; Based on the algorithm, customer levels are dynamically adjusted according to level rules based on preset cycles.

9. The central kitchen order processing system according to claim 2, characterized in that: Also includes: The intelligent order splitting and merging module is set on the second client, which splits a large batch order into multiple small batch orders to adapt to the production line's capacity, or merges multiple small batch similar orders into one large batch order to reduce costs.

10. The central kitchen order processing system according to claim 2, characterized in that: Also includes: The early warning and tracking modules are set up on each client to dynamically monitor the data and issue safety early warning prompts, to collect the production processing progress, and to present the progress and current status of each production link.

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