CN111461511A - Hotel management system based on elastic calculation, control method and equipment - Google Patents
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Abstract
The embodiment of the invention discloses a hotel management system, a control method and equipment based on elastic calculation, wherein the hotel management system comprises: the intelligent terminal is used for performing hotel transaction processing and controlling guest room equipment in the hotel in a networked manner; the cloud server is used for load balancing of the server survival nodes, acquiring the resource utilization rate of the server survival nodes in real time, and increasing the server survival nodes to perform hotel transaction processing if the resource utilization condition of the server survival nodes meets a preset high resource utilization condition standard; and if the resource use condition of the server survival node meets the preset low resource use condition standard, reducing the server survival node. The invention provides a hotel management system platform which is fast and free from traffic peak and server or computer performance constraint for hotel working management personnel, and the service mode is innovated, so that the service efficiency, quality and user experience of the hotel industry are improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of hotel management, in particular to a hotel management system, a control method and equipment based on elastic calculation.
Background
Hotels are commercial establishments that provide safe, comfortable spaces for users to rest or sleep for short periods of time.
The existing hotel management system has slow response when facing a large amount of data requests, is not friendly to network access users and seriously influences user experience; and for the daily management work of the hotel, the use is difficult and not convenient.
Disclosure of Invention
The embodiment of the invention aims to provide a hotel management system, a control method and equipment based on elastic calculation, which are used for solving the problems of slow response and poor user experience of the existing hotel management system.
In order to achieve the above object, the embodiments of the present invention mainly provide the following technical solutions:
in a first aspect, an embodiment of the present invention provides a hotel management system based on elastic computing, including: the intelligent terminal is used for performing hotel transaction processing and controlling guest room equipment in the hotel in a networked manner; the cloud server is used for carrying out load balancing on the server survival nodes and acquiring the resource utilization rate of the server survival nodes in real time, and if the resource utilization condition of the server survival nodes meets a preset high resource utilization condition standard, the server survival nodes are added for carrying out hotel transaction processing; and if the resource use condition of the server survival node meets the preset low resource use condition standard, reducing the server survival node.
According to an embodiment of the present invention, the cloud server is specifically configured to add one server alive node to perform hotel transaction processing when the resource usage rate of the server alive node is greater than a first percentage threshold; the cloud server is further configured to, after a server surviving node is added to perform hotel transaction processing, obtain a resource utilization rate of the current server surviving node, and if the resource utilization rate of the current server surviving node is greater than the first percentage threshold, add another server surviving node to perform hotel transaction processing.
According to an embodiment of the present invention, the cloud server is configured to decrease one server alive node when the resource usage rate of the server alive node is less than or equal to a second percentage threshold, wherein the first percentage threshold is greater than the second percentage threshold; the cloud server is further configured to obtain resource utilization rates of all current server survival nodes after one server survival node is reduced, and reduce one server survival node if the resource utilization rate of the current server survival node is less than or equal to the second percentage threshold and the number of the current server survival nodes is greater than a preset number threshold.
According to an embodiment of the present invention, the resource usage includes at least one of a CPU utilization, a memory usage size, a disk usage size, a number of TCP connections, and a number of HTTP requests.
According to one embodiment of the invention, the hotel transactions include reservation management, room status management, order form management, financial management, sales management, customer management, review management, report management, and hardware management.
In a second aspect, an embodiment of the present invention further provides a control method for a hotel management system, where the control method includes the hotel management system based on elastic calculation in the first aspect, and the control method includes: load balancing is carried out on the server survival nodes, and the resource utilization rate of the server survival nodes is obtained in real time; if the resource use condition of the server survival node meets a preset high resource use condition standard, adding the server survival node for hotel transaction processing; and if the resource use condition of the server survival node meets the preset low resource use condition standard, reducing the server survival node.
According to an embodiment of the present invention, if the resource usage of the server alive node meets a preset high resource usage criterion, adding the server alive node to perform hotel transaction processing includes: when the resource utilization rate of the server survival node is greater than a first percentage threshold value, adding one server survival node for hotel transaction processing; acquiring the resource utilization rate of the current server survival node; and if the resource utilization rate of the current server survival node is greater than the first percentage threshold, adding another server survival node for hotel transaction processing.
According to an embodiment of the present invention, if the resource usage of the server alive node meets a preset low resource usage criterion, the reducing the server alive node includes: when the resource utilization rate of the server survival node is less than or equal to a second percentage threshold value, reducing one server survival node, wherein the first percentage threshold value is greater than the second percentage threshold value; acquiring the resource utilization rate of all the current server survival nodes; and if the resource utilization rate of the current server survival node is less than or equal to the second percentage threshold value and the number of the current server survival nodes is greater than a preset number threshold value, reducing one server survival node.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: at least one processor and at least one memory; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the control method of the hospitality management system according to the second aspect.
In a fourth aspect, the present invention also provides a computer-readable storage medium containing one or more program instructions for being executed by the control method of the hotel management system according to the second aspect.
The technical scheme provided by the embodiment of the invention at least has the following advantages:
according to the hotel management system, the control method and the equipment based on the elastic calculation, provided by the embodiment of the invention, the hotel management system platform which is fast and free from traffic peak and server or computer performance constraint is provided for hotel working managers, and the service mode is innovated, so that the service efficiency, the quality and the user experience of the hotel industry are improved.
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Fig. 1 is a block diagram of a hotel management system based on elastic computing according to an embodiment of the present invention.
Fig. 2 is a flowchart of a control method of the hotel management system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, interfaces, techniques, etc. in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In the description of the present invention, it is to be understood that the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as meaning directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Fig. 1 is a block diagram of a hotel management system based on elastic computing according to an embodiment of the present invention. As shown in fig. 1, the elasticity-calculation-based hotel management system according to the embodiment of the present invention includes: the intelligent terminal 100 and the cloud server 200.
The intelligent terminal 100 is used for performing hotel transaction processing and controlling room devices in a hotel in a networked manner.
Specifically, the smart terminal 100 includes, but is not limited to, a personal computer, a smart phone, a smart tablet, and a smart screen. The intelligent terminal 100 is embedded with a hotel transaction processing system. The intelligent terminal 100 is in communication connection with the cloud server through the internet and is provided with an operation interface, so that indiscriminate processing of daily working places of a hotel can be realized, and the indiscriminate processing comprises intelligent hardware for handling reservation, arranging rooms, handling check-in and check-out, controlling guest room configuration and the like; the system service of hotel transaction processing is in the form of standard OpenAPI, and based on HTTP, TCP and SOCKET protocols, the system service supports the butt joint of different terminals.
The cloud server 200 is configured to perform load balancing on the server surviving nodes, and obtain the resource utilization rate of the server surviving nodes in real time, if the resource utilization condition of the server surviving nodes meets a preset high resource utilization condition standard. Adding a server survival node to perform hotel transaction processing; and if the resource use condition of the server survival node meets the preset low resource use condition standard, reducing the server survival node.
In an embodiment of the present invention, the cloud server 200 is specifically configured to add one server alive node for hotel transaction processing when the resource usage rate of the server alive node is greater than a first percentage threshold. In this example, the resource usage is CPU utilization or memory utilization, and the first percentage threshold is 80%. That is, on the premise of load balancing of the server surviving nodes, if the utilization rate of one or more server surviving nodes is greater than 80%, it is necessary to add one server surviving node for hotel transaction processing to improve service availability.
After adding one server alive node to perform hotel transaction processing, the cloud server 200 obtains the resource utilization rate of the current server alive node, and if the resource utilization rate of the current server alive node is greater than a first percentage threshold, then adding another server alive node to perform hotel transaction processing. That is, after a new server alive node is added, if the utilization rate of one or more server alive nodes cannot be made less than or equal to 80%, for example, if the zero point of twenty-one cannot effectively relieve the utilization rate of the server alive node even if a new server alive node is added, a server alive node needs to be added again for hotel transaction processing to improve service availability.
In another embodiment of the present invention, the cloud server 200 is further configured to decrease one server alive node when the resource usage rate of the current server alive node is less than or equal to a second percentage threshold, where the first percentage threshold is greater than the second percentage threshold. In this example, the resource usage is CPU utilization or memory utilization, and the second percentage threshold is 20%. That is, on the premise of load balancing of the server surviving nodes, if the utilization rate of one or more server surviving nodes is less than or equal to 20%, it is necessary to reduce one server surviving node and move the data and services of the reduced server surviving node to other server surviving nodes to reduce resource waste.
The cloud server is further used for obtaining the resource utilization rates of all the current server survival nodes after one server survival node is reduced, and if the resource utilization rate of the current server survival nodes is smaller than or equal to a second percentage threshold value and the number of the current server survival nodes is larger than a preset number threshold value, one server survival node is reduced. That is, after one server alive node is reduced, if the utilization rate of one or more server alive nodes is made to be less than or equal to 20% and the number of current server alive nodes is greater than the minimum enabled number threshold, one server alive node needs to be reduced again to reduce resource waste.
It should be noted that, in the embodiment of the present invention, the resource usage includes at least one of a CPU utilization rate, a memory usage size, a disk usage size, a number of TCP connections, and a number of HTTP requests.
In one embodiment of the invention, hotel transactions include reservation management, status management, order form management, financial management, sales management, customer management, review management, report management, and hardware management.
Wherein, the reservation management comprises hotel guest reservation, guest walk-in, team reservation, online reservation and the like.
The room state management comprises real-time room states (room check-in state, sanitary state) and long-term room states (room occupancy state in a future period of time) of the hotel.
The order room single management comprises the functions of on-line orders, store orders, room lists, check-in, room arrangement, room changing, room connection, room continuing, room type upgrading, room returning and the like.
The financial management comprises functions of hotel pay-as-you-go, account payable, order finance, hotel revenue statement statistics, invoice management and the like; the sales module comprises functions of hotel product maintenance, channel marketing, price calendar and the like.
The customer management comprises functions of hotel guest members, company customer relationship, customer history management and the like; the comment management comprises the functions of comment details, comment replies and the like of the customers in all channels of the hotel.
The report management comprises statistical reports of the hotel at different latitudes such as operation, income, expenditure and the like; the hardware management is embodied by unifying an intelligent hardware platform to enable the hotel, and comprises card making, an intelligent password door lock, Bluetooth unlocking, payment hardware management, intelligent terminal management and the like.
The hotel management system based on elastic calculation provided by the embodiment of the invention can improve the user experience and save the calculation cost: through elastic calculation, when the service access wave crest and the burst high access are carried out, the service instance is automatically expanded; when the normal access amount is recovered, automatically reducing the service instances; therefore, the computing resources of the server are saved, and the cost consumption is reduced; meanwhile, when the hotel staff enters the room returning period at the peak, the system can still ensure quick response and smooth system, and user experience is greatly improved.
The invention can also improve the revenue of the hotel: through the butt joint of the hotel management system, the OTA online travel system, the GMS channel distribution system and the RMS yield management system, multi-channel distribution, direct connection of orders and member customer management are realized, the functions of real-time unified management and maintenance of multi-channel orders, room volume and products and maintenance of hotel member relations are provided for the hotel, the hotel sales volume is improved, and the vacant rate of hotel rooms is reduced.
The invention can also improve the service quality of the hotel: through evaluation management, the hotel management staff can simply and visually acquire actual feedback of the user to aspects of hotel sanitation, service and the like, service awareness and working efficiency of the hotel staff can be improved, meanwhile, comment intercommunication is achieved based on the GMS and OTA system platform, and the user can better know and promote operation and service quality of the hotel.
The invention can also improve the operation efficiency of the hotel, reduce the operation cost and improve the income of the hotel: the hotel management system reduces the vacancy rate of resources for the hotel and improves the house renting rate and house maintenance efficiency; reliable and stable services are provided for hotel management workers and guests through high-availability and high-reliability cloud computing, big data, the Internet of things, 5G and other technologies, the efficiency of services such as hotel front desk room reservation, room arrangement, check-in and leave-out, room cleaning and the like is improved, the resource waste of the hotel is reduced, and the cost is reduced; by means of butt joint of the RMS system, key operation income index data are provided for the hotel, real-time analysis is conducted, the hotel operation strategy is adjusted more reasonably and effectively, and therefore the effects of improving operation efficiency and income are achieved.
In addition, other configurations and functions of the hotel management system based on elastic calculation according to the embodiment of the present invention are known to those skilled in the art, and are not described in detail in order to reduce redundancy.
Fig. 2 is a flowchart of a control method of the hotel management system according to an embodiment of the present invention. As shown in fig. 2, a control method of a hotel management system according to an embodiment of the present invention includes the above hotel management system based on elastic calculation, and the control method includes:
s1: load balancing is carried out on the server survival nodes, and the resource utilization rate of the server survival nodes is obtained in real time;
s2: and if the resource use condition of the server survival node meets the preset high resource use condition standard, adding the server survival node for hotel transaction processing.
In an embodiment of the present invention, step S2 specifically includes: when the resource utilization rate of the server survival node is greater than a first percentage threshold value, adding one server survival node for hotel transaction processing; acquiring the resource utilization rate of the current server survival node; and if the resource utilization rate of the current server survival node is greater than the first percentage threshold value, adding another server survival node for hotel transaction processing.
Specifically, the resource usage rate is a CPU utilization rate or a memory utilization rate, and the first percentage threshold is 80%. That is, on the premise of load balancing of the server surviving nodes, if the utilization rate of one or more server surviving nodes is greater than 80%, it is necessary to add one server surviving node for hotel transaction processing to improve service availability.
After a new server surviving node is added to the cloud server, if the utilization rate of one or more server surviving nodes cannot be made less than or equal to 80%, for example, if the utilization rate of the server surviving node cannot be effectively relieved even if a new server surviving node is added to the zero point of the twenty-one, a server surviving node needs to be added again for hotel transaction processing, so as to improve the service availability.
S3: and if the resource use condition of the server survival node meets the preset low resource use condition standard, reducing the server survival node.
In an embodiment of the present invention, step S3 specifically includes: when the resource utilization rate of the server survival node is less than or equal to a second percentage threshold value, reducing one server survival node, wherein the first percentage threshold value is greater than the second percentage threshold value; acquiring the resource utilization rate of all the current server survival nodes; and if the resource utilization rate of the current server survival nodes is less than or equal to a second percentage threshold value and the number of the current server survival nodes is greater than a preset number threshold value, reducing one server survival node.
Specifically, the resource utilization rate is a CPU utilization rate or a memory utilization rate, and the second percentage threshold is 20%. That is, on the premise of load balancing of the server surviving nodes, if the utilization rate of one or more server surviving nodes is less than or equal to 20%, it is necessary to reduce one server surviving node and move the data and services of the reduced server surviving node to other server surviving nodes to reduce resource waste.
After one server alive node is reduced, if the utilization rate of one or more server alive nodes is less than or equal to 20% and the number of the current server alive nodes is greater than the minimum enabled number threshold, one server alive node needs to be reduced again to reduce resource waste.
It should be noted that, the invention does not limit the sequential execution relationship between the step S2 and the step S3, that is, the step S2 may be executed first, and then the step S3 may be executed; the present invention may also be configured to execute step S3 first, and then execute step S2; the present invention may also perform step S2 and step S3 simultaneously.
An embodiment of the present invention further provides an electronic device, including: at least one processor and at least one memory; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the control method of the hotel management system.
The embodiments disclosed herein provide a computer-readable storage medium, in which computer program instructions are stored, and when the computer program instructions are run on a computer, the computer is caused to execute the above-mentioned control method of the hotel management system.
In an embodiment of the invention, the processor may be an integrated circuit chip having signal processing capability. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
By way of example and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous link DRAM (Synch L ink DRAM, S L DRAM), and Direct Rambus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that the functionality described in the present invention may be implemented in a combination of hardware and software in one or more of the examples described above. When software is applied, the corresponding functionality may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (10)
1. A system for hospitality management based on elasticity computing, comprising:
the intelligent terminal is used for performing hotel transaction processing and controlling guest room equipment in the hotel in a networked manner;
the cloud server is used for carrying out load balancing on the server survival nodes and acquiring the resource utilization rate of the server survival nodes in real time, and if the resource utilization condition of the server survival nodes meets a preset high resource utilization condition standard, the server survival nodes are added for carrying out hotel transaction processing; and if the resource use condition of the server survival node meets the preset low resource use condition standard, reducing the server survival node.
2. The resilient computing-based hospitality management system of claim 1, wherein said cloud server is specifically configured to add a server surviving node for hospitality transactions when the resource usage rate of said server surviving node is greater than a first percentage threshold;
the cloud server is further configured to, after a server surviving node is added to perform hotel transaction processing, obtain a resource utilization rate of the current server surviving node, and if the resource utilization rate of the current server surviving node is greater than the first percentage threshold, add another server surviving node to perform hotel transaction processing.
3. The resilient computing-based hospitality management system of claim 2, wherein said cloud server is configured to decrease one server alive node when a resource usage rate of said server alive node is less than or equal to a second percentage threshold, said first percentage threshold being greater than said second percentage threshold;
the cloud server is further configured to obtain resource utilization rates of all current server survival nodes after one server survival node is reduced, and reduce one server survival node if the resource utilization rate of the current server survival node is less than or equal to the second percentage threshold and the number of the current server survival nodes is greater than a preset number threshold.
4. The hospitality management system based on resilient computing of any of claims 1-3, wherein said resource usage comprises at least one of CPU utilization, memory usage size, disk usage size, number of TCP connections and number of HTTP requests.
5. The resilient computing-based hospitality management system of any of claims 1-3, wherein said hospitality transactions comprise booking management, room status management, order form management, financial management, sales management, customer management, review management, report management, and hardware management.
6. A control method of a hospitality management system comprising the resilient computing based hospitality management system of claim 1, said control method comprising:
load balancing is carried out on the server survival nodes, and the resource utilization rate of the server survival nodes is obtained in real time;
if the resource use condition of the server survival node meets a preset high resource use condition standard, adding the server survival node for hotel transaction processing;
and if the resource use condition of the server survival node meets the preset low resource use condition standard, reducing the server survival node.
7. The control method of the hotel management system according to claim 6, wherein if the resource usage of the server alive node meets a preset high resource usage criterion, adding the server alive node to perform hotel transactions comprises:
when the resource utilization rate of the server survival node is greater than a first percentage threshold value, adding one server survival node for hotel transaction processing;
acquiring the resource utilization rate of the current server survival node;
and if the resource utilization rate of the current server survival node is greater than the first percentage threshold, adding another server survival node for hotel transaction processing.
8. The method as claimed in claim 7, wherein the step of reducing the number of server alive nodes if the resource usage of the server alive nodes meets a preset low resource usage criterion comprises:
when the resource utilization rate of the server survival node is less than or equal to a second percentage threshold value, reducing one server survival node, wherein the first percentage threshold value is greater than the second percentage threshold value;
acquiring the resource utilization rate of all the current server survival nodes;
and if the resource utilization rate of the current server survival node is less than or equal to the second percentage threshold value and the number of the current server survival nodes is greater than a preset number threshold value, reducing one server survival node.
9. An electronic device, characterized in that the electronic device comprises: at least one processor and at least one memory;
the memory is to store one or more program instructions;
the processor, configured to execute one or more program instructions to perform the control method of the hospitality management system of any of claims 6-8.
10. A computer-readable storage medium having one or more program instructions embodied therein for performing the method of controlling the hospitality management system of any of claims 6-8.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114548763A (en) * | 2022-02-22 | 2022-05-27 | 深圳市商汤科技有限公司 | Conference room management method, conference room management apparatus, electronic device, storage medium, and program product |
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