Integrated hotel management system, method, equipment and medium

Abstract

The invention provides an integrated hotel management system, method and device and a medium, and belongs to the technical field of data processing. The system comprises a data acquisition layer used for acquiring original business data from a plurality of heterogeneous data sources, the original business data comprising customer basic data, conference reservation data, guest room demand data and catering demand data; the data processing layer is used for performing standardization and association matching processing on the original service data to generate an integrated service data packet; the business application layer is used for responding to a specific business event based on an event-driven architecture and a predefined business rule, automatically calling data in the integrated business data packet, and sending a business cooperation request to a guest room management system, a catering management system and an accounting management system of the hotel; and the user interaction layer is used for receiving user configuration data through a preset rule configuration interface, and performing graphical rendering and display on the integrated service data packet and the related operation data through an integrated visualization engine.

Description

Technical Field

[0001] This invention belongs to the field of data processing technology, and more specifically relates to an integrated hotel management system, method, equipment and medium. Background Technology

[0002] With the diversification of the hotel industry, undertaking integrated services such as training and conferences has become an important way to increase revenue. These services typically involve the integrated provision of training venues, accommodation arrangements, and catering services, placing higher demands on the collaborative management of internal hotel resources. However, in the face of fierce market competition, the hotel industry generally faces the dilemma of severe homogenization and squeezed profit margins, urgently needing to build core competitiveness by improving operational efficiency and customer experience, but existing technological systems are insufficient to effectively support this.

[0003] Currently, most mainstream hotel management systems on the market adopt a modular operating model, where training management, room reservations, and catering services are handled separately by different software systems. This technical architecture directly leads to a serious "data silo" phenomenon: data cannot flow and be shared between different business modules, customer information needs to be repeatedly entered, and the same business process (such as from training registration to accommodation arrangement) is forced to be manually switched and connected between multiple systems. This not only significantly reduces operational efficiency and increases labor costs, but also frequently causes business errors due to data inconsistency, becoming a major technical bottleneck for improving operational efficiency.

[0004] Furthermore, due to the lack of a dynamic data matching mechanism across business operations, the existing system cannot accurately and automatically predict room demand and dynamically adjust catering supply plans based on real-time changes in the number of trainees and schedules. This often leads to imbalances in resource allocation, resulting in resource waste or service shortages. Simultaneously, the fragmented storage of business data makes it difficult for hotel management to obtain a holistic and unified operational view. Data analysis lags behind, failing to provide timely and accurate decision support for resource optimization, cost control, and service upgrades. From a customer experience perspective, the cumbersome and fragmented check-in process also fails to meet their expectations for one-stop, personalized service.

[0005] Therefore, the inherent defects of existing technologies, such as fragmented business modules, inability to share data, imbalanced resource matching, and lagging decision support, have become significant obstacles to hotels improving their comprehensive reception capabilities and operational management. Summary of the Invention

[0006] To address the above issues, the present invention aims to provide an integrated hotel management system, method, equipment, and medium that deeply integrates data processing technology with business scenarios to achieve digital collaborative operation of the three core businesses of hotel training management, accommodation services, and catering services.

[0007] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, embodiments of this application provide an integrated hotel management system, including: The data acquisition layer is used to acquire raw business data from multiple heterogeneous data sources, including customer basic data, meeting booking data, room demand data, and catering demand data. The data processing layer is used to standardize and match raw business data to generate integrated business data packages; The business application layer is used to automatically call data in the integrated business data package and send business collaboration requests to the hotel's room management system, catering management system and accounting management system in response to specific business events, based on an event-driven architecture and predefined business rules. The user interaction layer is used to receive user configuration data through a preset rule configuration interface, and to graphically render and display the integrated business data package and related operational data through an integrated visualization engine.

[0008] In an optional implementation, the data acquisition layer is specifically used for: The first structured data, including meeting booking data, is obtained from an external booking system via an application programming interface. The second data is obtained through a manual input interface within the hotel. This second data includes room demand data and catering demand data described in text.

[0009] In one optional implementation, the data processing layer includes a data standardization unit and a dynamic data matching engine; The data standardization unit is specifically used for: The second data is obtained from the data acquisition layer; Extract initial key-value pairs from the text of the second data based on regular expressions; The business values ​​in the initial key-value pairs are matched with the pre-built hotel category name dictionary, and synonyms are mapped to standard business terms to generate standardized room requirement data and catering requirement data, which are then sent to the dynamic data matching engine.

[0010] In an optional implementation, the dynamic data matching engine is specifically used for: Receive the standardized room demand data and catering demand data, and obtain customer basic data and meeting booking data from the data acquisition layer; Based on meeting booking data, information on the number of attendees and meeting schedule was extracted; based on customer basic data, information on accommodation standards, venue requirements, and dietary preferences was extracted. Based on the number of attendees and accommodation standards, a room allocation algorithm is applied to calculate the estimated number of each room type and generate room allocation scheme data. The room allocation algorithm analyzes the mapping relationship between different personnel levels and room types defined in the accommodation standards information, divides the attendees into multiple subsets according to their levels, calculates the required room type and number for each subset independently, and finally summarizes the calculation results of all subsets to obtain the room allocation scheme data. Based on the meeting schedule information, by parsing the start and end dates and times of the schedule, the corresponding check-in dates, check-out dates and catering service periods are automatically mapped out, and service time synchronization data is generated; Based on the standardized guest room demand data, facility requirement information is extracted; based on the standardized catering demand data, dietary restrictions information is extracted. Based on the site requirements and facility requirements, the site facility requirements are determined. A weighted scoring algorithm is used to calculate the matching degree between the attributes of each site in the hotel and the site facility requirements, and a list of recommended sites is generated in descending order of matching degree. Based on the dietary preference information and dietary taboo information, a weighted scoring algorithm is used to calculate the matching degree between the attributes of each catering set meal in the hotel and the dietary preference information and dietary taboo information, and a list of recommended catering set meals is generated in descending order of matching degree. Based on room allocation data, service time synchronization data, recommended venue list data, and recommended catering package list data, an integrated business data package is generated.

[0011] In one optional implementation, the business application layer includes a business process collaboration engine; The business process collaboration engine is specifically used for: Predefine and listen for business events, including meeting booking confirmation events, hotel check-in events, and food and beverage consumption record generation events; Configure the business rules corresponding to the business events, the business rules including: In response to a meeting booking confirmation event, room allocation scheme data and recommended venue list data are extracted from the integrated business data package, and a room reservation request is automatically sent to the room management system. At the same time, the recommended venue list data is pushed to the user interaction layer as auxiliary decision-making information. In response to a guest room check-in event, the system extracts service time synchronization data, recommended catering package list data, and corresponding customer identifiers from the integrated business data package, and automatically sends a catering service preparation request to the catering management system. In response to the generation of a restaurant consumption record, the system extracts the details and customer identifier of the consumption record and automatically sends a bill update request to the billing management system.

[0012] In an optional implementation, the system further includes a data storage layer; the data storage layer is specifically used for: A relational database is used to store raw business data, integrated business data packages, and all business transaction records; Foreign key relationships are used to maintain consistent associations between the customer base data, meeting booking data, room demand data, and catering demand data.

[0013] In an optional implementation, the user interaction layer includes: The rules configuration interface is used to receive and persist user configuration data. The user configuration data is used to dynamically modify the mapping relationship between different personnel levels and room types, as well as the weight parameters of venue facility requirements, dietary preference information and dietary taboo information. The visualization unit is used to query the integrated business data package and related business data from the data storage layer through the integrated visualization engine, and drive the graphical components to generate and display dynamic charts of room occupancy rate, catering occupancy rate, meeting room utilization rate and recommended package adoption rate. The identification unit is used to receive the recommended venue list data and recommended catering package list data pushed from the business application layer, and to highlight them in the corresponding business processing interface.

[0014] Secondly, embodiments of this application also provide an integrated hotel management method, including: The data acquisition layer obtains raw business data from multiple heterogeneous data sources, including customer basic data, meeting booking data, room demand data, and catering demand data. The data processing layer standardizes and performs correlation matching on the raw business data to generate an integrated business data package. Through the business application layer, based on an event-driven architecture and predefined business rules, in response to specific business events, the data in the integrated business data package is automatically invoked to send business collaboration requests to the hotel's room management system, catering management system, and accounting management system. The system receives user configuration data through the user interaction layer and uses an integrated visualization engine to graphically render and display the integrated business data package and related operational data.

[0015] Thirdly, embodiments of this application also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the integrated hotel management method described in any of the above descriptions.

[0016] Fourthly, embodiments of this application also provide a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the integrated hotel management method as described in any of the above.

[0017] As can be seen from the above technical solutions, the present invention has the following advantages: The integrated hotel management system provided in this application achieves intelligent management of the entire process of hotel training, accommodation, and catering operations through the construction of a multi-layered collaborative technical architecture. The system effectively breaks down data barriers between various business modules, utilizes dynamic data matching algorithms to achieve accurate resource prediction and intelligent recommendation, and realizes automated collaboration of cross-departmental business processes based on an event-driven mechanism. This not only significantly improves the hotel's resource utilization and operational efficiency and reduces labor costs, but also greatly enhances customer satisfaction through personalized service recommendations and a one-stop business processing experience, building a core advantage for the hotel in the fierce market competition.

[0018] This application effectively solves the long-standing data silo problem in the hotel industry by constructing a multi-layered data acquisition system. The data acquisition layer can obtain raw business data such as basic customer data and meeting booking data from multiple heterogeneous data sources, including external booking systems and internal manual data entry. It also utilizes dynamic line break parsing technology based on regular expressions to intelligently parse unstructured text data. More importantly, the system uses a pre-built hotel category name dictionary to uniformly map various synonyms to standard business terms, achieving standardized classification of business data. This comprehensive data integration and standardization not only eliminates the problem of duplicate information entry and ensures data consistency throughout the system, but also lays a solid foundation for subsequent data processing and business collaboration, enabling hotels to establish a unified and standardized data management system.

[0019] This application utilizes a dynamic data matching engine to achieve precise and intelligent allocation of hotel resources. In terms of participant-related matching, based on the number of attendees and accommodation standards, a room allocation algorithm with weighted participant levels splits attendees into subsets by level and calculates their room type requirements independently, enabling accurate prediction of room resources. Regarding demand matching, by combining customer basic data on venue requirements and dietary preferences with standardized demand data on specific facility requirements and dietary restrictions, a weighted scoring algorithm intelligently recommends the most suitable venues and catering packages to customers. This multi-dimensional and intelligent resource matching mechanism significantly improves the hotel's resource allocation efficiency and effectively avoids resource waste or insufficient supply.

[0020] This application achieves automated integration of cross-departmental business processes through a business process collaboration engine. The system predefines and continuously monitors key business events, including meeting reservation confirmations, room check-in registrations, and the generation of catering consumption records, and has established a corresponding business rule base. When a meeting reservation confirmation event is detected, the room reservation process is automatically triggered; when a room check-in registration is updated, the catering department's dining list is automatically synchronized; when catering consumption occurs, the customer bill is updated in real time. This event-driven automated collaboration mechanism completely changes the traditional work mode that relies on manual information transmission, significantly reduces human error, improves business processing efficiency, and ensures seamless collaboration between departments.

[0021] This application integrates an advanced visualization engine, providing hotel management with powerful decision support capabilities. The system can retrieve integrated business data from the data storage layer in real time and dynamically generate visualized charts of multi-dimensional operational indicators such as room occupancy rate, restaurant seating capacity, meeting room utilization rate, and recommended package adoption rate through graphical components. This intuitive data presentation allows managers to quickly grasp the overall operational status of the hotel and promptly identify business trends and issues. Based on this accurate and timely operational data, management can make more scientific resource allocation decisions, service optimization strategies, and marketing plans, significantly improving the hotel's operational decision-making level and market responsiveness.

[0022] This application significantly enhances the overall customer service experience through intelligent recommendations and personalized services. Based on in-depth analysis and intelligent matching of customer needs, the system provides customers with accurate lists of recommended venues and dining packages, prominently displayed on the user interface, greatly simplifying the selection process. Simultaneously, the system implements a one-stop service process, eliminating the need for customers to travel between different departments to complete various procedures; all business steps are automatically and collaboratively completed through the system. This intelligent and personalized service model not only improves service efficiency but also provides customers with a professional and convenient service experience, effectively enhancing customer satisfaction and loyalty. Attached Figure Description

[0023] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 A schematic diagram of the integrated hotel management system provided in this application.

[0025] Figure 2A flowchart illustrating the integrated hotel management method provided in this application.

[0026] Figure 3 A schematic diagram of the structure of the electronic device provided in this application. Detailed Implementation

[0027] The various embodiments of this disclosure will be described more fully in the detailed system architecture and functions of the integrated hotel management system described below. This disclosure may have various embodiments, and adjustments and changes may be made therein. However, it should be understood that there is no intention to limit the various embodiments of this disclosure to the specific embodiments disclosed herein, but rather this disclosure should be understood to cover all adjustments, equivalents, and / or alternatives falling within the spirit and scope of the various embodiments of this disclosure.

[0028] In the following, the terms “comprising” or “may include”, which may be used in various embodiments of this disclosure, indicate the presence of the disclosed functions, operations, or elements, and do not limit the addition of one or more functions, operations, or elements. Furthermore, as used in various embodiments of this disclosure, the terms “comprising,” “having,” and their cognates are intended only to indicate a particular feature, number, step, operation, element, component, or combination of the foregoing, and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing, or the possibility of adding one or more combinations of the foregoing.

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] Please see Figure 1 The diagram shown is a structural schematic of an integrated hotel management system in a specific embodiment. The system includes: a data acquisition layer, a data processing layer, a business application layer, a user interaction layer, and a data storage layer.

[0031] The data acquisition layer is used to obtain raw business data from multiple heterogeneous data sources, including customer basic data, meeting booking data, room demand data, and catering demand data.

[0032] In a specific implementation, the data acquisition layer is specifically used for: The first structured data, including meeting booking data, is obtained from an external booking system via an application programming interface. The second data is obtained through a manual input interface within the hotel. This second data includes room demand data and catering demand data described in text.

[0033] As an example, the data acquisition layer achieves unified access to heterogeneous data sources in the following ways: Specifically, it includes: It uses a RESTful API interface to connect with external booking systems and automatically obtains structured meeting booking data, including information such as the number of attendees, meeting time, and venue requirements.

[0034] The hotel provides manual data entry interfaces through web forms and mobile applications to receive text-based business data submitted by various departments. For example, the Food and Beverage Department can submit food and beverage requests via mobile application, including unstructured text such as "20 vegetarian meal sets need to be prepared".

[0035] The data processing layer is used to standardize and match raw business data to generate integrated business data packages.

[0036] In a specific implementation, the data processing layer includes a data standardization unit and a dynamic data matching engine.

[0037] Data standardization units are specifically used for: The second data is obtained from the data acquisition layer; Extract initial key-value pairs from the text of the second data based on regular expressions; The business values ​​in the initial key-value pairs are matched with the pre-built hotel category name dictionary, and synonyms are mapped to standard business terms to generate standardized room requirement data and catering requirement data, which are then sent to the dynamic data matching engine.

[0038] For example, data standardization units are used to: automatically identify key information in text using a regular expression-based intelligent parsing engine. For instance, from the text "Need 10 king rooms and 15 standard rooms," automatically extract room type and quantity information. Establish a dictionary of hotel business item names to achieve a unified mapping of business terms. For example, uniformly map expressions such as "king room" and "double king room" to the standard term "king room."

[0039] Data matching engine, specifically used for: Receive the standardized room demand data and catering demand data, and obtain customer basic data and meeting booking data from the data acquisition layer; Based on meeting booking data, information on the number of attendees and meeting schedule was extracted; based on customer basic data, information on accommodation standards, venue requirements, and dietary preferences was extracted. Based on the number of attendees and accommodation standards, a room allocation algorithm is applied to calculate the estimated number of each room type and generate room allocation scheme data. The room allocation algorithm analyzes the mapping relationship between different personnel levels and room types defined in the accommodation standards information, divides the attendees into multiple subsets according to their levels, calculates the required room type and number for each subset independently, and finally summarizes the calculation results of all subsets to obtain the room allocation scheme data. Based on the meeting schedule information, by parsing the start and end dates and times of the schedule, the corresponding check-in dates, check-out dates and catering service periods are automatically mapped out, and service time synchronization data is generated; Based on the standardized guest room demand data, facility requirement information is extracted; based on the standardized catering demand data, dietary restrictions information is extracted. Based on the site requirements and facility requirements, the site facility requirements are determined. A weighted scoring algorithm is used to calculate the matching degree between the attributes of each site in the hotel and the site facility requirements, and a list of recommended sites is generated in descending order of matching degree. Based on the dietary preference information and dietary taboo information, a weighted scoring algorithm is used to calculate the matching degree between the attributes of each catering set meal in the hotel and the dietary preference information and dietary taboo information, and a list of recommended catering set meals is generated in descending order of matching degree. Based on room allocation data, service time synchronization data, recommended venue list data, and recommended catering package list data, an integrated business data package is generated.

[0040] For example, a data matching engine can implement the following process: Attendance-based matching: The system automatically calculates room type requirements based on the attendees' level using a tiered room allocation algorithm. For example, attendees can be allocated according to rules such as "executives - single rooms" and "employees - standard rooms".

[0041] Time-related matching: A schedule parsing engine is built to automatically extract key time nodes from meeting schedules. For example, based on the schedule of "training from September 1st to September 3rd", the system can automatically generate check-in dates of August 31st and check-out dates of September 3rd.

[0042] Demand-related matching: A multi-dimensional weighted scoring algorithm is used to comprehensively consider both explicit customer needs and implicit preferences. For example, based on a customer's requirement for a "gluten-free diet" and "preference for Sichuan cuisine," suitable meal packages are recommended.

[0043] The business application layer is used to automatically call data in the integrated business data package in response to specific business events, based on an event-driven architecture and predefined business rules, and send business collaboration requests to the hotel's room management system, catering management system and accounting management system.

[0044] In a specific implementation, the business application layer includes a business process collaboration engine; Business process collaboration engine, specifically used for: Predefine and listen for business events, including meeting booking confirmation events, hotel check-in events, and food and beverage consumption record generation events; Configure the business rules corresponding to the business events, the business rules including: In response to a meeting booking confirmation event, room allocation scheme data and recommended venue list data are extracted from the integrated business data package, and a room reservation request is automatically sent to the room management system. At the same time, the recommended venue list data is pushed to the user interaction layer as auxiliary decision-making information. In response to a guest room check-in event, the system extracts service time synchronization data, recommended catering package list data, and corresponding customer identifiers from the integrated business data package, and automatically sends a catering service preparation request to the catering management system. In response to the generation of a restaurant consumption record, the system extracts the details and customer identifier of the consumption record and automatically sends a bill update request to the billing management system.

[0045] The user interaction layer is used to receive user configuration data through a preset rule configuration interface, and to graphically render and display the integrated business data package and related operational data through an integrated visualization engine.

[0046] In a specific implementation, the user interaction layer includes: a rule configuration interface, a visualization unit, and an identification unit.

[0047] The rules configuration interface receives and persists user configuration data, which is used to dynamically modify the mapping relationship between different personnel levels and room types, as well as the weight parameters of venue facility requirements, dietary preference information, and dietary restrictions. The rules configuration interface provides a visual configuration tool and allows administrators to dynamically adjust business rules, such as setting accommodation standards for different personnel levels through drag-and-drop.

[0048] The visualization unit, through an integrated visualization engine, queries the integrated business data package and related business data from the data storage layer, and drives graphical components to generate and display dynamic charts showing room occupancy rates, restaurant seating rates, meeting room utilization rates, and recommended meal package adoption rates. For example, it integrates visualization engines such as ECharts to dynamically generate multi-dimensional data analysis dashboards. For instance, it displays real-time heatmaps of restaurant customer flow for different time periods of the day.

[0049] The identification unit receives recommended venue list data and recommended catering package list data pushed from the business application layer, and highlights them on the corresponding business processing interface. For example, intelligent prompting technology is used to highlight the recommended information on the business processing interface. For instance, the most suitable meeting room recommendation is highlighted on the new order interface.

[0050] The data storage layer is specifically used for: A relational database is used to store raw business data, integrated business data packages, and all business transaction records; Foreign key relationships are used to maintain consistent associations between the customer base data, meeting booking data, room demand data, and catering demand data.

[0051] In a specific implementation, the data storage layer uses a MySQL relational database, and data consistency is ensured through the following methods: Establish a unified data model and maintain the integrity of business data through foreign key relationships.

[0052] Adopting a read-write separation architecture improves the system's concurrent processing capabilities.

[0053] Establish a data archiving mechanism to regularly transfer historical business data to the data warehouse to ensure the performance of business systems.

[0054] In this embodiment, by constructing a multi-layered technical architecture, combined with regular expression parsing, standardization of item name dictionaries, dynamic data matching algorithms, and an event-driven engine, unified collection, intelligent analysis, and automated collaboration of data from three core business areas—training management, accommodation services, and catering services—we have been achieved. This has broken down data barriers between traditionally independent business systems, enabling training registration to automatically trigger room reservations, check-in registration to synchronize catering arrangements in real time, and consumption data to be updated instantly in a unified billing system. Ultimately, this has achieved digital collaborative operation of the three business segments, significantly improving the hotel's resource utilization efficiency, operational effectiveness, and overall service level.

[0055] like Figure 2 As shown, the following are embodiments of the integrated hotel management method provided in this disclosure. This method and the integrated hotel management system of the above embodiments belong to the same inventive concept. For details not described in detail in the embodiments of the integrated hotel management method, please refer to the embodiments of the integrated hotel management system described above.

[0056] An integrated hotel management method includes the following steps: S1: Obtain raw business data from multiple heterogeneous data sources through the data acquisition layer. The raw business data includes customer basic data, meeting booking data, room demand data, and catering demand data.

[0057] S2: The data processing layer standardizes and performs correlation matching on the original business data to generate an integrated business data package.

[0058] S3: Through the business application layer, based on the event-driven architecture and predefined business rules, in response to specific business events, it automatically calls the data in the integrated business data package and sends business collaboration requests to the hotel's room management system, catering management system and accounting management system.

[0059] S4: Receive user configuration data through the user interaction layer, and use the integrated visualization engine to graphically render and display the integrated business data package and related operational data.

[0060] The integrated hotel management method provided in this embodiment sequentially executes four major steps: data collection, data processing, business application, and user interaction. Based on data standardization and dynamic matching technology, it transforms multi-source business data into logically related integrated data packages. It automatically triggers cross-system business collaboration using an event-driven mechanism, and realizes real-time display of operational data and dynamic configuration of algorithm parameters through a visual interactive interface. Ultimately, at the business level, it achieves a fundamental transformation from data silos to intelligent collaboration, from manual intervention to automated execution, and from experience-based decision-making to data-driven approaches, significantly improving the management efficiency and service quality of the hotel's overall business.

[0061] Figure 3 A schematic diagram of the hardware structure of an electronic device for implementing various embodiments of the present invention.

[0062] The integrated hotel management method provided in this application can be applied to electronic devices. Those skilled in the art will understand that the electronic device structure involved in the embodiments of this invention does not constitute a limitation on the electronic device. An electronic device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. In the embodiments of this invention, the electronic device includes, but is not limited to, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of this application described and / or claimed herein.

[0063] Electronic devices may include processors, external memory interfaces, internal memory, universal serial bus (USB) interfaces, charging management modules, power management modules, batteries, wireless communication modules, audio modules, speakers, microphones, sensor modules, buttons, cameras, displays, and SIM card interfaces, etc.

[0064] A processor may include one or more processing units, such as: a central processing unit (CPU), an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, memory, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural network processing unit (NPU). Different processing units may be independent devices or integrated into one or more processors.

[0065] The processor can serve as the nerve center and command center of an electronic device. The controller can generate operation control signals based on the instruction opcode and timing signals to control the fetching and execution of instructions.

[0066] The processor may also include memory for storing instructions and data. In some embodiments, the memory in the processor is a cache memory. This memory can store instructions or data that the processor has just used or that are used repeatedly. If the processor needs to use the instruction or data again, it can retrieve it directly from this memory. This avoids repeated accesses, reduces processor latency, and thus improves system efficiency.

[0067] An external storage interface (ESI) can be used to connect external memory cards, such as microSD cards, to expand the storage capacity of electronic devices. The external memory card communicates with the processor through the ESI to perform data storage functions, such as saving music and video files on the external memory card.

[0068] Internal memory can be used to store computer executable program code, which includes instructions. The processor executes various functional applications and data processing of electronic devices by running the instructions stored in internal memory. Internal memory can include a program storage area and a data storage area. Internal memory can include high-speed random access memory, and can also include non-volatile memory, such as at least one disk storage device, flash memory device, universal flash storage (UFS), etc.

[0069] Wireless communication functionality in electronic devices can be achieved through antennas, wireless communication modules, modem processors, and baseband processors.

[0070] Wireless communication modules can provide solutions for wireless communication applications in electronic devices, including wireless local area networks (WLANs) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), and infrared (IR) technologies.

[0071] Electronic devices can implement audio functions through audio modules, speakers, receivers, microphones, headphone jacks, and application processors.

[0072] Electronic devices can achieve shooting functions through ISPs, cameras, video codecs, GPUs, displays, and application processors.

[0073] Electronic devices can achieve display functions through GPUs, displays, and application processors.

[0074] A GPU is a microprocessor for image processing, connected to the display screen and application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering. A processor may include one or more GPUs, which execute program instructions to generate or modify display information.

[0075] A display screen is used to display images, videos, etc. A display screen includes a display panel.

[0076] The aforementioned electronic devices realize the integrated hotel management method of this application by constructing a complete method and process that includes data collection, data processing, business application and user interaction. Based on data standardization and dynamic matching technology, it realizes intelligent integration and association of multi-source business data, and uses an event-driven mechanism to realize automated collaboration of cross-system business. Ultimately, it achieves multiple beneficial effects such as breaking down data silos, optimizing resource allocation, improving operational efficiency and enhancing service experience.

[0077] The storage medium provided in this application stores a program product capable of implementing an integrated hotel management method.

[0078] Integrated hotel management methods include: The data acquisition layer obtains raw business data from multiple heterogeneous data sources, including customer basic data, meeting booking data, room demand data, and catering demand data. The data processing layer standardizes and performs correlation matching on the raw business data to generate an integrated business data package. Through the business application layer, based on an event-driven architecture and predefined business rules, in response to specific business events, the data in the integrated business data package is automatically invoked to send business collaboration requests to the hotel's room management system, catering management system, and accounting management system. The system receives user configuration data through the user interaction layer and uses an integrated visualization engine to graphically render and display the integrated business data package and related operational data.

[0079] In some possible implementations, the integrated hotel management method of this disclosure can be implemented as a program product that includes program code that, when the program product is run on a terminal device, causes the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this disclosure.

[0080] The storage medium disclosed herein may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0081] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An integrated hotel management system, characterized in that, include: The data acquisition layer is used to acquire raw business data from multiple heterogeneous data sources, including customer basic data, meeting booking data, room demand data, and catering demand data. The data processing layer is used to standardize and match raw business data to generate integrated business data packages; The business application layer is used to automatically call data in the integrated business data package and send business collaboration requests to the hotel's room management system, catering management system and accounting management system in response to specific business events, based on an event-driven architecture and predefined business rules. The user interaction layer is used to receive user configuration data through a preset rule configuration interface, and to graphically render and display the integrated business data package and related operational data through an integrated visualization engine.

2. The integrated hotel management system according to claim 1, characterized in that, The data acquisition layer is specifically used for: The first structured data, including meeting booking data, is obtained from an external booking system via an application programming interface. The second data is obtained through a manual input interface within the hotel. This second data includes room demand data and catering demand data described in text.

3. The integrated hotel management system according to claim 2, characterized in that, The data processing layer includes a data standardization unit and a dynamic data matching engine; The data standardization unit is specifically used for: The second data is obtained from the data acquisition layer; Extract initial key-value pairs from the text of the second data based on regular expressions; The business values ​​in the initial key-value pairs are matched with the pre-built hotel category name dictionary, and synonyms are mapped to standard business terms to generate standardized room requirement data and catering requirement data, which are then sent to the dynamic data matching engine.

4. The integrated hotel management system according to claim 3, characterized in that, The dynamic data matching engine is specifically used for: Receive the standardized room demand data and catering demand data, and obtain customer basic data and meeting booking data from the data acquisition layer; Based on meeting booking data, information on the number of attendees and meeting schedule was extracted; based on customer basic data, information on accommodation standards, venue requirements, and dietary preferences was extracted. Based on the number of attendees and accommodation standards, a room allocation algorithm is applied to calculate the estimated number of each room type and generate room allocation scheme data. The room allocation algorithm analyzes the mapping relationship between different personnel levels and room types defined in the accommodation standards information, divides the attendees into multiple subsets according to their levels, calculates the required room type and number for each subset independently, and finally summarizes the calculation results of all subsets to obtain the room allocation scheme data. Based on the meeting schedule information, by parsing the start and end dates and times of the schedule, the corresponding check-in dates, check-out dates and catering service periods are automatically mapped out, and service time synchronization data is generated; Based on the standardized guest room demand data, facility requirement information is extracted; based on the standardized catering demand data, dietary restrictions information is extracted. Based on the site requirements and facility requirements, the site facility requirements are determined. A weighted scoring algorithm is used to calculate the matching degree between the attributes of each site in the hotel and the site facility requirements, and a list of recommended sites is generated in descending order of matching degree. Based on the dietary preference information and dietary taboo information, a weighted scoring algorithm is used to calculate the matching degree between the attributes of each catering set meal in the hotel and the dietary preference information and dietary taboo information, and a list of recommended catering set meals is generated in descending order of matching degree. Based on room allocation data, service time synchronization data, recommended venue list data, and recommended catering package list data, an integrated business data package is generated.

5. The integrated hotel management system according to claim 4, characterized in that, The business application layer includes a business process collaboration engine; The business process collaboration engine is specifically used for: Predefine and listen for business events, including meeting booking confirmation events, hotel check-in events, and food and beverage consumption record generation events; Configure the business rules corresponding to the business events, the business rules including: In response to a meeting booking confirmation event, room allocation scheme data and recommended venue list data are extracted from the integrated business data package, and a room reservation request is automatically sent to the room management system. At the same time, the recommended venue list data is pushed to the user interaction layer as auxiliary decision-making information. In response to a guest room check-in event, the system extracts service time synchronization data, recommended catering package list data, and corresponding customer identifiers from the integrated business data package, and automatically sends a catering service preparation request to the catering management system. In response to the generation of a restaurant consumption record, the system extracts the details and customer identifier of the consumption record and automatically sends a bill update request to the billing management system.

6. The integrated hotel management system according to claim 5, characterized in that, The system further includes a data storage layer; the data storage layer is specifically used for: A relational database is used to store raw business data, integrated business data packages, and all business transaction records; Foreign key relationships are used to maintain consistent associations between the customer base data, meeting booking data, room demand data, and catering demand data.

7. The integrated hotel management system according to claim 6, characterized in that, The user interaction layer includes: The rules configuration interface is used to receive and persist user configuration data. The user configuration data is used to dynamically modify the mapping relationship between different personnel levels and room types, as well as the weight parameters of venue facility requirements, dietary preference information and dietary taboo information. The visualization unit is used to query the integrated business data package and related business data from the data storage layer through the integrated visualization engine, and drive the graphical components to generate and display dynamic charts of room occupancy rate, catering occupancy rate, meeting room utilization rate and recommended package adoption rate. The identification unit is used to receive the recommended venue list data and recommended catering package list data pushed from the business application layer, and to highlight them in the corresponding business processing interface.

8. An integrated hotel management method, characterized in that, The method employs the integrated hotel management system as described in any one of claims 1 to 7; The method includes: The data acquisition layer obtains raw business data from multiple heterogeneous data sources, including customer basic data, meeting booking data, room demand data, and catering demand data. The data processing layer standardizes and performs correlation matching on the raw business data to generate an integrated business data package. Through the business application layer, based on an event-driven architecture and predefined business rules, in response to specific business events, the data in the integrated business data package is automatically invoked to send business collaboration requests to the hotel's room management system, catering management system, and accounting management system. The system receives user configuration data through the user interaction layer and uses an integrated visualization engine to graphically render and display the integrated business data package and related operational data.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the integrated hotel management method as described in claim 8.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the integrated hotel management method as described in claim 8.

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