Hotel management system and card making terminal intelligent interaction method, system and device based on self-learning optimization

Abstract

The invention discloses a hotel management system (PMS) and card making terminal intelligent interaction method and system based on self-learning optimization, electronic equipment and a computer readable storage medium. The problems of NM complexity, static mapping, lack of intelligence, insufficient reliability, difficulty in maintenance and the like when N heterogeneous PMS and M different card-making terminals are integrated are solved. The core scheme of the invention comprises the following steps of: constructing a standard transit instruction set (SICS), and establishing a two-stage instruction corresponding relationship from a PMS instruction to an SICS instruction and from the SICS instruction to a terminal instruction; identifying the PMS and the terminal type through an instruction interaction system; and a two-stage instruction translation process is executed, and the key is that before the second-stage translation, a self-learning optimization mechanism is introduced, and the mechanism analyzes historical interaction data, autonomously learns and updates a mapping rule or an execution strategy, so that an optimal translation implementation or execution strategy from the SICS to the terminal instruction is determined, and translation and execution are performed by using an optimization decision result.

Description

Technical Field

[0001] The present invention relates to the technical field of hotel management systems, and more specifically, to an intelligent interaction method, system and device between a hotel management system based on self-learning optimization and a card-making terminal. Background Art

[0002] The core information system PMS in the hotel industry is powerful in processing business processes. However, there are limitations in directly interacting with various card-making terminal hardware with different interfaces. Currently, the industry usually relies on dedicated software or SDKs provided by manufacturers for integration. This method leads to a complex IT environment, low operation efficiency, and difficulty in unified management and strategy implementation. Especially in the complex N-to-M application scenarios with N types of PMS and M types of terminals, problems such as high integration complexity, poor dynamic adaptability, low reliability, and difficulty in system evolution are particularly prominent.

[0003] In the prior art, although there are some attempts at standardized interfaces or information docking, most are based on static rules and fail to fundamentally solve the above-mentioned deep-seated problems. Therefore, there is an urgent need for a new generation of more intelligent, reliable, and adaptable integration solutions in this field. Summary of the Invention

[0004] The purpose of the present invention is to overcome the defects of the prior art and provide an intelligent interaction method, system and related device between a hotel management system based on self-learning optimization and a card-making terminal, aiming to build an intelligent, reliable, adaptive and easy-to-maintain integration hub to improve the intelligent management level and operation efficiency of hotels.

[0005] To achieve the above purpose, the present invention provides an intelligent interaction method between a hotel management system based on self-learning optimization and a card-making terminal. The core lies in constructing a standard transfer instruction set SICS and a two-stage instruction correspondence, and identifying the type and executing the two-stage instruction translation through an instruction interaction system. The key innovation of the present invention is that before the second-stage translation, a self-learning optimization mechanism is introduced, which can analyze based on historical interaction data, autonomously learn and update mapping rules or strategies, so as to determine the optimal second correspondence or instruction sequence.

[0006] Preferably, the self-learning optimization mechanism includes: continuously recording detailed interaction data; analyzing the data using statistical methods or machine learning models to identify performance and reliability patterns; and dynamically updating the mapping rule library or generating an optimal execution strategy.

[0007] Preferably, to further improve the self-adaptability of the system, the method further includes dynamically obtaining the real-time capability information of the terminal and making adaptive adjustments in combination with the capability information during the second-stage translation.

[0008] Preferably, to enhance the flexibility and policy control ability of the system, the method further includes the policy execution engine intelligently processing SICS instructions based on configurable rules.

[0009] Preferably, to ensure the integrity of complex operations and data consistency, the method ensures the atomicity of complex operations through the transaction control module and standardizes business responses through the status synchronization module.

[0010] Preferably, to adapt to the iterative upgrade and maintenance of the system, the SICS definitions and corresponding relationships are managed in the form of versionable components, supporting dynamic loading and switching.

[0011] Preferably, to handle asynchronous interaction scenarios, the instruction interaction system includes a mechanism for handling asynchronous communication or long-duration operations.

[0012] The present invention also provides an instruction interaction system for implementing the above method, an electronic device including the system, and a computer-readable storage medium storing related programs.

[0013] By combining the SICS hub architecture with self-learning optimization and multi-dimensional intelligent features, the present invention creates an integrated platform that can self-learn and optimize, is highly reliable, and is adaptive, thereby significantly improving the hotel automation level and operation efficiency.

[0014] Other features and advantages of the present invention will become clear from the following detailed description of the exemplary embodiments of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings incorporated in and constituting a part of this specification illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0016] Figure 1 is a flowchart showing the basic interaction method between the hotel management system and the card-making terminal provided by the embodiment of the present invention.

[0017] Figure 2 is a schematic structural diagram of a functional module of the instruction interaction system provided by the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] Now, various exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be noted that: Unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present invention.

[0019] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present invention, its application, or its use.

[0020] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0021] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0022] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0023] In order to enable those skilled in the art to understand the technical solution of the present invention more comprehensively and deeply, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be emphasized that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments disclosed in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present invention.

[0024] Embodiment 1: Method embodiment

[0025] This embodiment provides a method for intelligent interaction between a hotel management system (PMS) and a card-making terminal based on self-learning optimization. Figure 1 As shown, the method aims to solve the problems of complexity, staticness, low intelligence, insufficient reliability and difficult maintenance when integrating N types of PMS and M types of card-making terminals in the prior art.

[0026] The specific steps are as follows:

[0027] Step S1: presetting or obtaining an instruction set;

[0028] First, it is necessary to collect and organize the first card making instruction sets used by various hotel management systems PMS to control card making operations, and the second card making instruction sets that can be received and executed by various card making terminals of different types or manufacturers. This step is the basis for the subsequent establishment of mapping relationships.

[0029] Step S2: constructing a standard transfer instruction set (SICS) and establishing a corresponding relationship;

[0030] In order to decouple PMS and card-making terminals, a standard transfer instruction set (Standard Intercommunication Command Set, SICS) needs to be built. SICS defines a set of standardized intermediate instructions and their operational semantics that are independent of any specific PMS and card-making terminals. These instructions should be able to cover the core operations of hotel card-making business, such as issuing cards (IssueCard), reading cards (ReadCardInfo), canceling cards (RevokeCard), updating card data (UpdateCardData), querying terminal status (QueryTerminalStatus), etc., and include standardized parameter structures and response code systems.

[0031] At the same time, in this step, two types of corresponding relationships are established:

[0032] The first correspondence: mapping the first card making instruction of each PMS to the SICS instruction. This is usually achieved by developing an adapter for each PMS (PMS invented Adapter), which is responsible for parsing the PMS instruction and converting it into the corresponding SICS instruction.

[0033] The second correspondence: Mapping the SICS instruction to the second card-making instruction of each card-making terminal. Similarly, this is usually achieved by developing one or more adapters (Terminal Adapter) for each terminal, which is responsible for translating the SICS instruction into specific instructions or instruction sequences that the terminal can understand. It should be noted that a SICS instruction may correspond to multiple different terminal instruction sequence implementations, which provides a basis for subsequent optimization selection.

[0034] Step S3: performing type identification;

[0035] When an interaction request (e.g., a PMS requesting card making) occurs, a command interaction system (described in detail in the system embodiment below) that plays the role of an intermediate hub performs a type identification operation. The system needs to accurately identify the specific type of the PMS that initiates the interaction request (e.g., Opera PMS, Westsoft PMS, etc.) and the specific type of the target card making terminal (e.g., VingCard, Betway, Salto, etc.). The identification basis can be the request source, device identifier, pre-configuration information, etc.

[0036] Step S4: perform two-stage instruction translation;

[0037] After identifying the PMS and terminal type, the command interaction system performs the core two-stage command translation process, such as Figure 1 As shown:

[0038] Step S4a: First-stage translation (PMS instruction → SICS instruction);

[0039] According to the PMS type identified in step S3, the instruction interaction system calls the corresponding first correspondence (or PMS adapter) to translate the original first card-making instruction sent by the PMS into a standardized SICS instruction in real time.

[0040] Step S4b: Apply the self-learning optimization mechanism to determine the optimal second correspondence implementation or instruction sequence;

[0041] Before performing the second-stage translation (SICS to terminal instruction), introduce a self-learning optimization mechanism. This mechanism autonomously learns and updates the mapping rules of the second correspondence or specific instruction execution strategies by analyzing historical interaction data. Its purpose is to select the optimal (e.g., fastest, most reliable) second card-making instruction sequence or implementation method for the current interaction. Specifically, this mechanism usually includes:

[0042] Step S4b1: Interaction data recording: The instruction interaction system continuously records the detailed data of interactions with each card-making terminal, such as the executed SICS instructions, the actually adopted second card-making instruction sequence, target terminal information, execution time, success / failure status, error code, environmental context (such as network latency, system load), etc.

[0043] Step S4b2: Data analysis and modeling: The built-in self-learning optimization engine uses statistical methods or machine learning models (such as classification, regression, reinforcement learning, etc.) to analyze the recorded data and identify the performance (such as time-consuming) and reliability (such as success rate) patterns of different instruction sequences under different conditions.

[0044] Step S4b3: Dynamically update rules or strategies: Based on the analysis results, the self-learning optimization engine dynamically updates the mapping rule library for translating SICS instructions into second card-making instructions for specific terminals, or generates and recommends the optimal instruction execution strategy / sequence under the current interaction conditions.

[0045] Step S4c: Second-stage translation (SICS instruction → invention terminal instruction);

[0046] The instruction interaction system uses the optimal second correspondence implementation or optimal instruction sequence determined in step S4b to translate the SICS instruction obtained in step S4a into a second card-making instruction that the target card-making terminal can execute in real time.

[0047] Step S4d: Instruction sending and execution

[0048] Send the translated second card-making instruction to the target card-making terminal to drive it to perform corresponding physical operations (such as writing cards, reading cards, etc.).

[0049] Furthermore, in some embodiments, it further includes: Dynamic Capability Acquisition and Adaptive Adjustment (enhancing steps S3 and S4c): After step S3, before step S4c, or during the execution process, an additional step (step S31) can be added: The instruction interaction system actively queries or dynamically obtains the real-time capability information of the target card-making terminal, such as the specific efficient instructions it currently supports, the version of the encryption method, the version of the communication protocol, etc. Then, during the second-phase translation in step S4c, adaptive adjustment is performed in combination with this real-time capability information and the optimization results of step S4b, preferentially utilizing the currently optimal and available functions of the terminal.

[0050] Policy Execution (enhancing between steps S4a and S4b): After the first-phase translation (S4a) is completed to obtain SICS instructions, a policy execution step (step S4a1) can be introduced. The policy execution engine built into the instruction interaction system intelligently processes the SICS instructions based on configurable hotel business rules (such as the automatic addition of membership level permissions) and context security policies (such as verifying operator permissions and restricting operation time), such as parameter enhancement, modification, permission verification, security level adjustment, etc., and then proceeds to the optimization decision in step S4b and the translation in step S4c.

[0051] Transaction Control and Status Synchronization (enhancing complex operation processing): For complex business operations that require multiple second card-making instructions to be executed to complete (such as changing rooms involving canceling the old card and issuing a new card), these instructions can be managed as an atomic transaction unit through a transaction control mechanism to ensure the atomicity of the operation. At the same time, when the card-making terminal returns the execution result (status or error information), it is reversely translated into a response code and status description defined by SICS with standardized business meanings through a status synchronization mechanism, and then fed back to the PMS.

[0052] Versioning Management (enhancing maintainability): The core components such as the definition of the SICS instruction set, the first correspondence (PMS adapter), and the second correspondence (terminal adapter) should be configured and managed in a versionable form. The instruction interaction system supports dynamically selecting, loading, or switching these components based on version information to adapt to the upgrades of the PMS system, the card-making terminal, and the evolution of its own functions.

[0053] Asynchronous Communication Processing (enhancing the interaction experience): For situations where the interaction with the card-making terminal may involve asynchronous communication or long-term operations (such as batch card issuance), the instruction interaction system should have a built-in mechanism that can effectively manage the status of asynchronous tasks and feedback the final result to the requester (PMS) in a standardized manner by SICS after the operation is completed.

[0054] Through the above steps, this method constructs an intelligent, reliable, adaptive, and easy-to-maintain interaction hub between the PMS and the card-making terminal, effectively solving many pain points of the existing technology.

[0055] Example Two: System Example

[0056] This example provides a hotel management system and a card-making terminal intelligent interaction system based on self-learning optimization, which is used to implement the method described in Example One. As Figure 2 shown, this intelligent instruction interaction system is usually deployed as a middleware between the PMS and the card-making terminal.

[0057] This system at least includes:

[0058] At least one communication interface invention (321): Configured to establish a connection with the hotel management system (PMS) to receive the first card-making instruction and send a response, and establish a connection with various card-making terminals to send the second card-making instruction and receive the execution result. The interface type can include network interfaces (such as Ethernet), serial ports (such as RS232 / RS485), USB interfaces, etc., and support corresponding communication protocols (such as HTTP, invention TCP / IP, invention WebSocket, invention specific serial port protocols, etc.).

[0059] Memory invention (322): Configured to store various data and program instructions required to execute the system functions. This includes:

[0060] Definition document of the standard transfer instruction set (SICS).

[0061] The first correspondence (mapping rule of PMS instruction to SICS instruction / PMS adapter configuration or code).

[0062] The second correspondence (mapping rule of SICS instruction to terminal instruction / Terminal adapter configuration or code, which may include multiple implementation strategies).

[0063] Historical interaction data (for self-learning optimization).

[0064] Self-learning optimization model (such as statistical model, machine learning model).

[0065] Configurable policy rules (for the policy execution engine).

[0066] Program instructions required for system operation.

[0067] Processor invention (323): Configured to execute the program instructions stored in the memory (322) to implement the core functions of the method of the present invention. By executing the program instructions, the processor at least implements the following functional modules (these modules are logically divided and physically can be one or more software processes / threads or services):

[0068] Instruction Set and Correspondence Management Module Invention (324): Responsible for storing, managing, and providing SICS definitions, the first correspondence (PMS adapter), and the second correspondence (terminal adapter). Core content management for the corresponding method step S2.

[0069] Type Recognition Module Invention (325): Responsible for receiving requests from the PMS and identifying the PMS type and the target terminal type. Corresponding to method step S3.

[0070] Two-Stage Instruction Translation Engine Invention (326): The core processing engine responsible for executing instruction translation. It calls the results of the type recognition module (325), obtains the corresponding adapter / mapping relationships from the management module (324), and executes step S4a (first-stage translation) and step S4c (second-stage translation).

[0071] Self-Learning Optimization Engine Invention (330): Implements a self-learning optimization mechanism. Includes:

[0072] Interactive Data Logger Invention (331): Records detailed interaction logs. Corresponding to step S4b1.

[0073] Performance and Reliability Modeling Unit Invention (332): Analyzes historical data and builds models. Corresponding to step S4b2.

[0074] Mapping Rule / Policy Updater Invention (333): Updates mapping rules or generates optimization policies based on the analysis results. Corresponding to step S4b3. The engine provides the optimal second correspondence implementation suggestions to the two-stage instruction translation engine (326) before step S4c is executed.

[0075] Dynamic Capability Discovery and Negotiation Module Invention (327): Responsible for communicating with the terminal to obtain its real-time capability information. Corresponding to the optional enhancement step S31 and providing the information to the translation engine (326) for adaptive adjustment.

[0076] Policy Execution Engine Invention (328): Based on the stored policy rules, checks, enhances, or modifies SICS instructions during the translation process. Corresponding to the optional enhancement step S4a1.

[0077] Transaction Control Module Invention (329): Manages complex operations that require multiple instructions and ensures their atomicity. Corresponding to transaction control in the optional enhancement features.

[0078] Status Synchronization Module Invention (334): Responsible for reverse translating the original status / error code returned by the terminal into a standard SICS response. Corresponding to status synchronization in the optional enhancement features.

[0079] Version Management and Dynamic Loading Module Invention (335): Manage the versions of components such as SICS and adapters, and support dynamic loading. Corresponding to the version management in the optional enhanced features.

[0080] Asynchronous Communication Processing Module Invention (336): Process asynchronous interactions with terminals and long-term tasks. Corresponding to the asynchronous communication processing in the optional enhanced features.

[0081] These modules work together. By executing the instructions in the memory (322) through the processor (323), and interacting with the external system (PMS) and devices (card-making terminals) using the communication interface (321), the intelligent interaction method based on self-learning optimization described in Embodiment 1 is finally realized.

[0082] The present invention also provides an electronic device, which can be a physical carrier for implementing the above intelligent instruction interaction system, such as a server, an industrial control computer, an edge computing gateway, or a module integrated into specific hardware. The electronic device is characterized in that it includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the method steps described in Embodiment 1 are realized.

[0083] In addition, the present invention also provides a computer-readable storage medium (such as a hard disk, a solid-state drive, a USB flash drive, an optical disc, a ROM, a RAM, etc.), which is characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, the method steps described in Embodiment 1 are realized.

[0084] In summary, the present invention constructs a standard transfer instruction set SICS, adopts a two-stage instruction translation mechanism, and innovatively introduces a self-learning optimization engine. Combining intelligent and robustness-enhancing features such as dynamic capability negotiation, policy execution, transaction control, state synchronization, version management, and asynchronous communication processing, it provides an efficient, intelligent, reliable, adaptive, and easy-to-maintain intelligent interaction method, system, and related electronic devices and storage media for hotel management systems and card-making terminals. This solution can significantly reduce the complexity and cost of integrating hotel PMS with heterogeneous card-making terminals, improve the integration efficiency, operation reliability, and intelligent level, and strongly support the digital transformation and intelligent upgrade of the hotel industry.

[0085] Although some specific embodiments of the present invention have been described in detail by way of examples, those skilled in the art should understand that the above examples are only for illustration and not for limiting the scope of the present invention. Those skilled in the art should understand that the above embodiments can be modified without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A method for intelligent interaction between a hotel management system based on self-learning optimization and a card-making terminal, characterized in that It includes the following steps: Step S1: Preset or obtain the first card-making instruction sets of various hotel management systems (PMSs) respectively, and the second card-making instruction sets of various card-making terminals respectively; Step S2: Construct a standard intermediate instruction set (SICS), where the SICS defines the normalized intermediate instructions and their operation semantics independent of specific PMSs and card-making terminals; and establish a first correspondence between the first card-making instructions and the SICS instructions, and a second correspondence between the SICS instructions and the second card-making instructions; Step S3: The instruction interaction system performs a type recognition operation to recognize the type of the PMS initiating the interaction and the type of the target card-making terminal; Step S4: The instruction interaction system performs two-stage instruction translation, including: Step S4a: According to the recognized PMS type, call the first correspondence to translate the first card-making instruction sent by the PMS into the corresponding SICS instruction in real time; Step S4b: Use the self-learning optimization mechanism to determine the optimal second correspondence implementation or the optimal second card-making instruction sequence for the current interaction. The self-learning optimization mechanism autonomously learns and updates the mapping rules or instruction execution strategies of the second correspondence by analyzing historical interaction data; Step S4c: Adopt the optimal second correspondence implementation or instruction sequence determined in Step S4b to translate the SICS instruction obtained in Step S4a into the corresponding second card-making instruction in real time; Step S4d: Send the second card-making instruction to the card-making terminal for instruction execution.

2. The method according to claim 1, wherein The self-learning optimization mechanism in Step S4b includes: Step S4b1: The instruction interaction system continuously records interaction data, recording the detailed data of the interaction with each card-making terminal. The data at least includes the executed SICS instructions, the adopted second card-making instruction sequence, the target terminal type and identifier, the execution time, the success or failure status, the error code, and the environmental context information; Step S4b2: The self-learning optimization engine built in the instruction interaction system analyzes the recorded interaction data. The analysis uses statistical methods or machine learning models to identify the performance and reliability patterns of different instruction sequences under different conditions; Step S4b3: The self-learning optimization engine performs dynamic updates based on the analysis results, dynamically updating the mapping rule library for translating SICS instructions into the second card-making instructions of specific terminals, or generating alternative optimal instruction execution strategies for use in the determination process of Step S4b.

3. The method according to claim 1, wherein After Step S3, before or during Step S4c, it includes: Step S31: The instruction interaction system dynamically obtains the real-time capability information of the target card-making terminal. The capability information at least indicates the specific efficient instructions, encryption methods, or communication protocol versions supported by it; Moreover, in the process of translating the SICS instruction into the second card-making instruction in Step S4c, it is adaptively adjusted in combination with the real-time capability information to give priority to using the optimal available functions of the terminal.

4. The method according to claim 1, wherein After Step S4a, before or during Step S4b, it further includes: Step S4a1: The policy execution engine built into the instruction interaction system intelligently processes the SICS instruction based on configurable hotel business rules and context security policies. The processing includes at least one of rule-based enhancement, parameter modification, permission verification, and security level adjustment.

5. The method according to claim 1, wherein: For complex business operations that require executing multiple second card-making instructions, the instruction interaction system manages the execution of the multiple instructions as a transaction unit through a transaction control module to ensure the atomicity of the operation; Moreover, the instruction interaction system reversely translates the specific status or error information returned by the card-making terminal into a standardized response code and status description with business meaning defined by SICS through a status synchronization module.

6. The method according to claim 1, wherein: The definition of the standard transfer instruction set SICS, the first correspondence, and the second correspondence are configured and managed in the form of versionable components; the instruction interaction system supports dynamically selecting, loading, or switching the components based on version information to adapt to system evolution and maintenance requirements.

7. The method according to claim 1, characterized in that The instruction interaction system has a built-in mechanism for processing asynchronous communication or long-duration operations with the card-making terminal. This mechanism can manage the status of asynchronous tasks and feedback the results in a standardized SICS manner after the operation is completed.

8. A hotel management system and card-making terminal intelligent interaction system based on self-learning optimization, characterized in that, Comprising: At least one communication interface configured to connect the hotel management system and the card-making terminal; A memory configured to store the definition of the standard transfer instruction set SICS, the first correspondence, the second correspondence, historical interaction data, an optimization model, policy rules, and program instructions; A processor configured to execute the program instructions to implement the method according to any one of claims 1 to 7. The processor executes the program instructions to at least implement the following functional modules: Instruction set and correspondence management module; Type recognition module; Two-stage instruction translation engine; Self-learning optimization engine for analyzing historical interaction data and dynamically updating the mapping rules or execution policies of the second correspondence; Dynamic capability discovery and negotiation module; Policy execution engine; Transaction control module; Status synchronization module; Version management and dynamic loading module; Asynchronous communication processing module.

9. An electronic device, characterized in that, Comprising a memory and a processor. When the memory stores a computer program and the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium. When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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