Integrated system for digital catering management

Abstract

The invention discloses an integrated system for digital catering management, and relates to the technical field of artificial intelligence. The system comprises a catering service end, a consumption end, a catering background system end and a business operation end. The catering server is used for visually displaying the analysis result of the catering background system and intelligently updating catering software and hardware according to the analysis result; the consumption end sends a service application to the catering background according to the demand of a consumer, and the catering background system provides data guidance for the consumption end; the catering background system end is used for gathering consumption information of the consumption end to a catering background system; and the business operation end is a third-party interaction platform. Through a highly integrated product, unified rules can be conveniently formulated and uniformly executed in a whole enterprise, global unified management and control and flexible calling of services are realized, various cross-organization and cross-business processes are communicated, and meanwhile, unified monitoring and scheduling and global operating index analysis and decision-making capabilities are established.

Description

Technical Field

[0001] The present invention belongs to the technical field of artificial intelligence, and particularly relates to an integrated system for digital catering management. Specifically, it integrates advanced technologies such as artificial intelligence, big data, Internet of Things, and cloud computing, and integrates finance, supply chain, production, sales, human resources, project management, collaborative office, customer service, etc. into a highly integrated platform product to achieve the standardization of smart digital catering business data, as well as the uniqueness and global sharing of data within the entire group. Background Art

[0002] With the improvement of people's living standards and the transformation of their lifestyles, the market of the catering industry has expanded rapidly, becoming a golden industry in China. Applying wireless technology to manage catering services can improve the business efficiency, service level of restaurants, and optimize the industrial service process, bringing new management concepts and service means to the catering industry, which is an important symbol of the informatization development of the catering industry.

[0003] With the popularization of infrastructure such as the Internet, mobile Internet, and Internet of Things, and the development and application of related technologies such as cloud computing, big data, and machine learning, it has become possible to collect and analyze behavioral data. Behavioral data is the digital representation of human production activities and life information in the cyber space, with huge potential value. Some even say that data is the primary productive force in the big data era. With the progress of related technologies, the application value of behavioral data is becoming prominent, and more and more enterprises are beginning to explore the potential value of behavioral data through technologies such as machine learning and data mining. Due to the particularity of industries such as tourism and retail, the value of behavioral data is particularly obvious. The same is true in the catering industry. Big data technology is of great significance to consumers and catering service providers. Combining information technology to develop new catering has become a research hotspot. Summary of the Invention

[0004] The purpose of the present invention is to provide an integrated system for digital catering management. By constructing a highly integrated product, it is convenient to formulate unified rules and uniformly execute them within the entire enterprise, realizing global unified control and flexible invocation of services, achieving the penetration of various cross-organization and cross-business processes, and at the same time establishing unified monitoring, scheduling, and global business indicator analysis and decision-making capabilities, solving the problems of chaotic management, low catering management efficiency, and easy errors in food material management in the existing catering industry.

[0005] To solve the above technical problems, the present invention is realized through the following technical solutions: The present invention is an integrated system for digital catering management, including a catering service end, a consumer end, a catering back-end system end, and a business operation end; The catering service terminal is used to visually display the analysis results of the catering back-end system, and intelligently update the catering software and hardware according to the analysis results; The consumer terminal interacts with the catering back-end system through the mobile network; the consumer terminal sends a service application to the catering back-end according to the consumer's own needs, and the catering back-end system guides the data provided by the consumer terminal; The catering back-end system terminal is used to gather the consumption information of the consumer terminal into the catering back-end system. Various back-end analysis systems in the back-end system analyze the interactive communication data of consumers, and update and feedback the analysis results to the catering service terminal in real time; The business operation terminal is a third-party interactive platform; the business operation terminal is bidirectionally connected to the catering back-end system; the business operation terminal includes a procurement center, an e-commerce center, a logistics and transportation center, a warehousing management center, a restaurant operation center, and a central kitchen processing center; the procurement center includes procurement sourcing, procurement planning, procurement orders, procurement price lists, supplier management, and supplier collaboration; the e-commerce center includes a self-operated mall B2C, a points mall, an offline store O2O, an online customer service, a multi-channel client, and external platform docking; the logistics and transportation center includes fleet management, driver management, route planning, waybill scheduling, location tracking, and mileage recording; the warehousing management center includes inventory organization, inventory rules, outbound and inbound, inventory transfer, batch management, inventory checking and scrapping, barcode scanning, and inventory forecasting; the restaurant operation center includes restaurant ordering and cashiering, queuing for seats, scanning code for self-service ordering, calling for food, kitchen display system, and restaurant reservation; the central kitchen processing center includes master production planning, material requirements planning, bill of materials, work order planning, production orders, workshop scheduling, and disassembly and scrapping.

[0006] On the one hand, the highly integrated platform product facilitates the formulation of unified rules and unified execution within the entire enterprise. Thus, global unified control and flexible invocation of services can be achieved, and then various cross-organization and cross-business processes can be connected. At the same time, unified monitoring and scheduling can also be established, as well as global business indicator analysis and decision-making capabilities.

[0007] On the other hand, the standardization of business data can also be achieved, as well as the uniqueness and global sharing of data within the entire group. Since there are no multiple heterogeneous systems, the same data is stored only once within the entire enterprise, and different business modules share and call it. The operation object is unique, the logic is clear, and data statistical analysis is greatly simplified.

[0008] In summary, this embodiment fundamentally solves the technical bottlenecks that affect business efficiency, such as multiple heterogeneous systems, data islands, and process fragmentation within the enterprise. At the same time, based on the open and connected social attributes of the Internet, the internal and external parts of the enterprise are fully integrated, providing great value for large enterprise groups to establish a unified digital operation platform.

[0009] As a preferred technical solution, the food and beverage back-end system obtains the dish consumption data through the ordering process at the consumption end or through the offline intelligent settlement desk; the offline intelligent settlement desk scans the RFID chip built in the dinner plate for automatic summarization, and the integrated intelligent settlement system for consumers' independent settlement uploads the data to the food and beverage back-end system.

[0010] As a preferred technical solution, the offline intelligent settlement desk is built with an RFID card swiping module. When the user takes the dinner plate, the RFID built in the dinner plate will pass through the RFID card swiping module built in the offline intelligent settlement desk, and the RFID card swiping module will immediately read out the serial number of the RFID tag in this dinner plate, and this serial number represents the dish corresponding to this dinner plate.

[0011] As a preferred technical solution, after the purchasing center disassembles the ingredients in the selected dishes according to the material list management mode of the ERP installed according to the customized recipe, classifies and summarizes them, and then combines the current inventory, suppliers, pricing, quality, and characteristic information, it automatically generates a purchase order and pushes it to the e-commerce platform or suppliers. The specific implementation process is as follows: Step S1: The food and beverage enterprise and the supplier collect, organize, and summarize the information flow through the mobile portal. Step S2: The connection between the food and beverage enterprise and the supplier realizes the two-way interaction of the information flow. Step S3: The food and beverage enterprise and the supplier share, analyze, and publish the results on the platform.

[0012] As a preferred technical solution, in the step S2, the specific process of calculating the ingredient cost in the dish is as follows: Step S21: Collect the historical cost data sets of all ingredients, including the basic attribute values of the ingredients and the price floating variables, and preprocess the collected data. Step S22: Perform a normalization operation on the ingredient data and divide it into a training set and a test set according to a ratio. Step S23: Introduce a deep learning model to fit the training set, and obtain the Unet network by fitting each feature parameter in the data. Step S24: Input the ingredient information after disassembling the selected dish into the Unet network for prediction. Step S25: The Unet network outputs the cost prediction of the ingredients in the dish.

[0013] As a preferred technical solution, in the step S23, the process of the deep learning model fitting the training set is as follows: Step S231: Draw a scatter plot according to the data of the training set, and select a suitable curve for fitting from the distribution of the points in the scatter plot. Step S232: After determining the function type, use the least squares method to determine the unknown parameters in the function; Step S233: Fit repeatedly to determine the curve type; Step S234: Use the test set to test the fitted curve.

[0014] As a preferred technical solution, in step S23, each characteristic parameter in the fitting data needs to be normalized, and the specific processing formula is as follows: ; ; In the formula, is the characteristic value of the cost specification of various food ingredients, and are respectively the th and th food ingredient cost specification characteristic values in the food ingredient cost specification characteristics, is the set of food ingredient cost specification characteristic values, A and R respectively represent the name and nature of the food ingredient cost characteristic values, M is the number of food ingredient cost characteristic values, is the number of food ingredient cost difference characteristic values, is the exponential transportation of the characteristic values, and F is the food ingredient cost reference common characteristic value.

[0015] The present invention has the following beneficial effects: Through the highly integrated product of the present invention, it is convenient to formulate unified rules and uniformly execute them within the entire enterprise, realizing global unified management and control and flexible invocation of services, achieving the connection of various cross-organization and cross-business processes, and at the same time establishing unified monitoring, scheduling, and global business indicator analysis and decision-making capabilities.

[0016] The present invention realizes the standardization of business data, as well as the uniqueness and global sharing of data within the entire group, shares and invokes different business modules, has a unique operation object, clear logic, and simplifies data statistical analysis.

[0017] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0019] Figure 1Schematic diagram of an integrated system for digital food and beverage management according to the present invention; Figure 2 It is a schematic diagram of the structure of the business operation terminal. Specific implementation manners

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0022] In order to make the purpose, technical solutions and advantages of the present application clearer, the following is combined with Figure 1 - Figure 2 and embodiments to further describe the present application in detail. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0023] The deployment and operation environment of this embodiment are as follows: Application server and database server: CPU: INTEL and AMD series processors, as well as domestic Kunpeng, Loongson, Shenwei, Haiguang, Zhaoxin, Feiteng and other processors. Memory: Above 4G; Memory: Above 500G. Server operating system: Ubuntu18.04, Debian11 and above versions, and at the same time support mainstream domestic operating systems, including: Huawei Euler, Galaxy Kylin, Zhongke Fangde, Tongxin UOS; Database system: PostSQL12.1 and above versions, and at the same time support domestic database systems based on PostSQL.

[0024] The main service targets of this embodiment are: large single restaurants and hotels, dish R & D and central kitchens, direct-operated and franchised chain restaurants, food production and sales enterprises, food ingredient logistics distribution centers, and customized services for personalized businesses.

[0025] Please refer to Figure 1 As shown, the present invention is an integrated system for digital food and beverage management, including a food and beverage service terminal, a consumer terminal, a food and beverage back-end system terminal, and a business operation terminal; The food and beverage service terminal is used to visually display the analysis results of the food and beverage back-end system, and intelligently update the food and beverage software and hardware according to the analysis results; the consumer terminal interacts with the food and beverage back-end system through the mobile network; the consumer terminal sends a service application to the food and beverage back-end according to the consumer's own needs, and the food and beverage back-end system guides the data provided by the consumer terminal; the food and beverage back-end system terminal is used to gather the consumption information of the consumer terminal into the food and beverage back-end system, and various back-end analysis systems of the back-end system analyze the interactive communication data of the consumers, and update and feedback the analysis results to the food and beverage service terminal in real time; Please refer to Figure 2 As shown, the business operation terminal is a third-party interactive platform; the business operation terminal is bi-directionally connected to the food and beverage back-end system; the business operation terminal includes a procurement center, an e-commerce center, a logistics and transportation center, a warehousing management center, a restaurant operation center, and a central kitchen processing center; the procurement center includes procurement sourcing, procurement planning, procurement orders, procurement price lists, supplier management, and supplier collaboration; the e-commerce center includes a self-operated mall B2C, a points mall, an offline store O2O, an online customer service, a multi-channel client, and external platform docking; the logistics and transportation center includes fleet management, driver management, route planning, waybill scheduling, location tracking, and mileage recording; the warehousing management center includes inventory organization, inventory rules, outbound and inbound, inventory transfer, batch management, inventory counting and scrapping, barcode scanning, and inventory forecasting; the restaurant operation center includes restaurant ordering and cashiering, queuing for seats, scanning code for self-service ordering, calling for meals, kitchen display system, and restaurant reservation; the central kitchen processing center includes master production planning, material requirements planning, bill of materials, work order planning, production orders, workshop scheduling, and disassembly and scrapping.

[0026] The food and beverage back-end system obtains the dish consumption data through the ordering process of the consumer terminal or through the offline intelligent settlement desk; the offline intelligent settlement desk scans the RFID chips built into the dinner plates and automatically summarizes them, and the integrated intelligent settlement system for consumers' independent settlement uploads the data to the food and beverage back-end system.

[0027] The offline intelligent settlement desk is built with an RFID card swiping module. When the user picks up the dinner plate, the RFID built into the dinner plate will pass through the RFID card swiping module built into the offline intelligent settlement desk, and the RFID card swiping module will immediately read out the serial number of the RFID tag in this dinner plate, and this serial number represents the dishes corresponding to this dinner plate.

[0028] In this embodiment, on the one hand, the highly integrated platform product is convenient for formulating unified rules and uniformly implementing them within the whole enterprise. Thus, global unified control and flexible invocation of services can be achieved, and furthermore, various cross-organization and cross-business processes can be connected. At the same time, unified monitoring and scheduling can also be established, as well as global business indicator analysis and decision-making capabilities.

[0029] On the other hand, it is also possible to standardize business data and ensure its uniqueness and global sharing across the entire group. Since there are no multiple heterogeneous systems, the same data is stored only once across the entire enterprise, shared and called by different business modules, with a unique operation object, clear logic, and greatly simplified data statistics and analysis.

[0030] In summary, this embodiment fundamentally solves the technical bottlenecks that affect business efficiency, such as multiple heterogeneous systems, data islands, and process fragmentation within the enterprise. At the same time, based on the open and connected social attributes of the Internet, it fully integrates the internal and external parts of the enterprise, providing great value for large enterprise groups to establish a unified digital operation platform.

[0031] After the procurement center disassembles the ingredients in the selected dishes according to the material list management mode of the ERP installed based on the customized recipe, classifies and summarizes them, and then combines the current inventory, suppliers, pricing, quality, and characteristic information, it automatically generates a purchase order and pushes it to the e-commerce platform or suppliers. The specific implementation process is as follows: Step S1: The catering enterprise and the supplier collect, organize, and summarize the information flow through the mobile portal. Step S2: The catering enterprise and the supplier achieve two-way interaction of the information flow through docking. Step S3: The catering enterprise and the supplier share, analyze, and publish the results on the platform.

[0032] The procurement center is responsible for the procurement, inspection, and supply of food raw materials; it focuses on internal management and strengthens supplier supervision, improves and implements various safety management systems and specifications, adheres to the system of obtaining certificates for raw material procurement, strictly examines the qualifications of suppliers, and adheres to the process-based operation and key link control of the three major processes of procurement, inventory, and supply, ensuring no omissions in food safety work from the source. Develop a mobile terminal APP for the catering management system to synchronously complete on-site work such as the declaration, procurement, and acceptance of catering materials, further improving the practicality and convenience of catering information management. Establish the collection of basic information in links such as the compilation of raw material demand plans, procurement and distribution, single-dish accounting in the cafeteria, control mechanisms for dish prices, and analysis and accounting of business operations, and establish a complete function for recording the material flow.

[0033] In step S2, the specific process for calculating the ingredient cost in the dish is as follows: Step S21: Collect the historical cost data sets of all ingredients, including the basic attribute values of the ingredients and price floating variables, and preprocess the collected data. Step S22: Perform a normalization operation on the ingredient data and divide it into a training set and a test set according to a ratio. Step S23: Introduce a deep learning model to fit the training set, and obtain a Unet network by fitting each feature parameter in the data. Step S24: input the disassembled ingredient information of the selected dish into the Unet network for prediction; Step S25: The Unet network outputs the cost prediction of the ingredients in the dish.

[0034] In step S23, the process of fitting the deep learning model to the training set is as follows: Step S231: Draw a scatter plot based on the data of the training set, and select a suitable curve for fitting from the distribution of points in the scatter plot; Step S232: after determining the function type, using the least square method to determine the unknown parameters in the function; Step S233: repeatedly fitting to determine the curve type; Step S234: Use the test set to test the fitted curve.

[0035] When processing food ingredients, a standardized production workshop, i.e., a central kitchen, is established and equipped with automated production equipment to realize intensive production of food raw materials. The central kitchen is responsible for the production of various finished or semi-finished staple foods, vegetable washing and cutting, etc.; rice production lines, tofu production lines, steamed bun production lines, clean vegetable processing lines, and cold noodle production lines are introduced. Advanced equipment, modern technology, and standardized processes are adopted to realize the standardization of processing, standardized operation, mechanized production, technological technology, and institutionalized access of traditional foods, which eliminates the abuse of food additives and effectively eliminates safety hazards in the food processing process. After the food raw materials are processed separately by the central kitchen, the data collection of the food materials from raw materials to net materials is completed, and the accurate accounting of food costs is realized. Through the intensive production model of the central kitchen, the quantitative allocation of food dishes and staple food materials is realized, providing basic support for the construction of a standardized meal distribution system for employee restaurant meals.

[0036] In step S23, each characteristic parameter in the fitting data needs to be normalized, and the specific processing formula is as follows: ; ; In the formula, are the characteristic values ​​of the cost specifications for various ingredients, and They are respectively and The standard characteristic value of food cost, is the set of standard characteristic values ​​of food cost, A and R represent the name and nature of the food cost characteristic value respectively, M is the number of food cost characteristic values, is the number of ingredient cost difference feature values, is the exponential transport of the eigenvalue, and F is the reference common eigenvalue of the food cost.

[0037] Enterprise intelligent catering aims at the intelligentization of catering, with safety and health as its tenets. It uses intelligent information platforms such as the Internet of Things, cloud computing, big data, and mobile Internet terminal devices to build an intelligent catering environment on campus for the purpose of meeting the functional requirements of campus catering management and the personalized needs of all parties involved. It effectively manages the six major links of catering production, namely procurement and supply, raw material processing, cooking, finished product sales, nutritional analysis, and dietary recommendation, through the application, integration, and management innovation of a variety of information technologies, which is an enterprise catering management theory.

[0038] It should be noted that in the above system embodiments, the various units included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0039] In addition, those of ordinary skill in the art can understand that all or part of the steps in implementing the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium.

[0040] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An integrated system for digital catering management, including a catering service end, a consumer end, a catering backend system end and a business operation end, characterized in that: The catering service end is used to visualize the analysis results of the catering backend system and intelligently update the catering software and hardware according to the analysis results; The consumer end interacts with the catering backend system via a mobile network; The consumer sends a service application to the catering backend according to the consumer's own needs, and the catering backend system guides the data provided by the consumer; The catering backend system is used to aggregate the consumption information of the consumer end to the catering backend system. Various backend analysis systems of the backend system analyze the interactive communication data of consumers and update the analysis results in real time to the catering service end; The business operation end is a third-party interactive platform; the business operation end is bidirectionally connected with the catering backend system; the business operation end includes a procurement center, an e-commerce center, a logistics and transportation center, a warehousing management center, a restaurant operation center, and a Chinese kitchen processing center; the procurement center includes procurement sourcing, procurement plans, procurement orders, procurement price lists, supplier management, and supplier collaboration; the e-commerce center includes a self-operated mall B2C, a points mall, an offline store O2O, online customer service, a multi-channel client, and external platform docking; The logistics and transportation center includes fleet management, driver management, route planning, waybill scheduling, location tracking, and mileage recording; the warehousing management center includes inventory organization, inventory rules, warehousing in and out, inventory transfer, batch management, inventory counting and scrapping, barcode scanning, and inventory forecasting; the restaurant operation center includes restaurant ordering and cashiering, queuing, scanning code self-service ordering, meal delivery calling, kitchen display system, and restaurant reservation; the Chinese kitchen processing center includes master production plan, material requirement plan, bill of materials, work order plan, production order, workshop scheduling, and disassembly and scrapping.

2. An integrated system for digital food and beverage management according to claim 1, characterized in that, The catering backend system acquires the dish consumption data through the ordering process at the consumer end or through an offline smart settlement counter; the offline smart settlement counter scans the plate with a built-in RFID chip to automatically summarize the data, and the integrated smart settlement system for consumers to settle the bill independently uploads the data to the catering backend system.

3. An integrated system for digital food and beverage management according to claim 1, characterized in that, The offline smart checkout counter is equipped with a built-in RFID card swiping module. When the user takes the plate, the RFID built into the plate will pass through the built-in RFID card swiping module of the offline smart checkout counter. The RFID card swiping module will immediately read the serial number of the RFID tag in the plate, and this serial number indicates the dish corresponding to the plate.

4. An integrated system for digital food and beverage management according to claim 1, characterized in that, The purchasing center installs the ERP bill of materials management mode according to the customized recipes to disassemble the ingredients in the selected dishes, classify and summarize them, and then automatically produces purchase orders based on the current inventory, supplier, pricing, quality, and feature information, and pushes them to the e-commerce platform or supplier. The specific implementation process is as follows: Step S1: Catering enterprises and suppliers collect, organize and summarize information flows through mobile portals; Step S2: The connection between catering enterprises and suppliers realizes two-way interaction of information flow; Step S3: Catering enterprises and suppliers share, analyze and publish results on the platform.

5. An integrated system for digital food and beverage management according to claim 4, characterized in that, In the step S2, the specific process for calculating the ingredient cost in the dish is as follows: Step S21: Collect the historical cost data sets of all ingredients, including the basic ingredient attribute values and price fluctuation variables, and preprocess the collected data; Step S22: Perform a normalization operation on the ingredient data and divide it into a training set and a test set according to a ratio; Step S23: Introduce a deep learning model to fit the training set, and obtain a Unet network by fitting each feature parameter in the data; Step S24: Input the ingredient information after disassembling the selected dish into the Unet network for prediction; Step S25: The Unet network outputs the cost prediction of the ingredients in the dish.

6. An integrated system for digital food and beverage management according to claim 5, characterized in that, In the step S23, the process of the deep learning model fitting the training set is as follows: Step S231: Draw a scatter plot based on the data of the training set, and select a suitable curve for fitting from the distribution of the points in the scatter plot; Step S232: After determining the function type, use the least squares method to determine the unknown parameters in the function; Step S233: Repeatedly fit to determine the curve type; Step S234: Use the test set to test the fitted curve.

7. An integrated system for digital food and beverage management according to claim 5, characterized in that, In the step S23, each feature parameter in the fitting data needs to be normalized, and the specific processing formula is as follows: ； ； Wherein, is the eigenvalue of various food material cost specifications, and are respectively the -th and the -th food material cost specification eigenvalues in the food material cost specification features, is the set of food material cost specification eigenvalues. A and R respectively represent the name and nature of the food material cost eigenvalues, M is the number of food material cost eigenvalues, is the number of food material cost difference eigenvalues, is the exponential transportation of eigenvalues, and F is the common reference eigenvalue of food material cost.

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