CN112016720B

CN112016720B - Personalized reservation system, method and business mode based on big data

Info

Publication number: CN112016720B
Application number: CN202010905601.2A
Authority: CN
Inventors: 王渡江
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-09-01
Filing date: 2020-09-01
Publication date: 2023-11-17
Anticipated expiration: 2040-09-01
Also published as: CN112016720A

Abstract

The application discloses a personalized reservation system based on big data, which comprises an APP operated by a mobile terminal and a server for carrying out data interaction with the APP, wherein the server comprises: the account module is used for creating and storing an account which can be used for logging in the personalized reservation system and verifying whether the account has legal login rights; the system comprises an order module, a database, a payment module, an operation module and an authorization module. A predetermined method and business model thereof are also provided. The business mode disclosed by the application can mobilize the inspiration of each section, fully integrate the existing internet sharing data, and realize the full-node integration of hotels, retail, electronic commerce and express/flash delivery by utilizing the O2O mode so as to make up the blank of the diversified and personalized spirit and material demands of the current people.

Description

Personalized reservation system, method and business mode based on big data

Technical Field

The application relates to the field of data scheduling information systems, in particular to a system and a method for scheduling existing data information meeting user-defined requirements and a business mode for business application by using the system and the method, and particularly relates to a personalized reservation system and method based on big data and the business mode.

Background

With the tremendous and continuous development of the IT industry, existing software systems have been able to implement personalized sharing and utilization of massive data. Especially in the field of people's home travel, in order to facilitate people's travel, a plurality of platforms are widely used by people for reservation systems in transportation, travel and hotel industries; most platforms can realize diversified services such as air ticket reservation, hotel reservation and the like, and reservation of travel ticket business and reservation of check-in hotels can be realized by adopting an APP or webpage mode through one platform. There are two main reasons for the rise of existing reservation platforms: firstly, the technology breakthrough of the current software industry can realize the digitization of information data of various industries, so that the aspects of work and life of people are smoother and more efficient; secondly, the method is based on the high standard and strict requirements of current people on efficiency. Future transactions need to be planned and planned to avoid wastage of time.

However, aiming at the current fast-paced life and work arrangement, the existing reservation platform cannot realize the fixed-point accurate provision of personalized goods and services of users. In order to fully utilize the effect of better realizing 'make full use of' of the existing product and service resources, resource allocation is required to be carried out by meeting personalized demands of people, and a personalized product and service platform is provided on the premise of supporting and sharing big data, so that the resource utilization rate is further improved, and the problem of low cross-industry and cross-field resource flow rate caused by unsmooth information is solved.

Disclosure of Invention

In order to solve the problem that the existing data platform or software system cannot realize personalized, diversified and timely product or service provision, the existing cross-industry and cross-field resource data cannot realize real-time circulation, so that the resource idle rate is increased and the utilization rate is reduced. The application provides a personalized reservation system, a personalized reservation method and a business mode based on big data, which aim to accurately and efficiently provide products or services required by people for traveling such as business trip or journey, so that the resources can circulate across fields and industries. Meanwhile, the application also provides a business mode realized based on the personalized booking system, which utilizes the existing O2O mode, combines online booking, off-line purchasing and appointed delivery, and solves the problem that the traveler is urgent to use specific goods and services in specific time. The business mode fully combines all links of intelligent mobile equipment, a platform system, a communication technology and offline distribution; compared with the existing single ticket booking service and flashing service, the system is higher in integration, and can pull each link economically, meanwhile, a user takes a hotel as a receiving point and takes the hotel as a transfer station, so that the problem of storage in the traditional distribution is avoided, each link is fully activated, and the operation rate of resources is greatly improved.

In order to achieve the above purpose, the technical scheme adopted by the application is as follows:

a big data based personalized reservation system comprising an APP running through a mobile terminal, a server for data interaction with the APP, the server comprising:

the account module is used for creating and storing an account which can be used for logging in the personalized reservation system and verifying whether the account has legal login rights;

an order module for storing discrete data for composing different types of orders in a classified manner, any of the discrete data being used to define a single dimension of the order, and generating an order with a well-defined range from a plurality of the discrete data; the discrete data consists of standard data and custom data;

the database is used for matching the built-in data and/or the externally connected data required by the order generated by the order module, wherein the built-in data is preset or imported by the system; the externally connected data is dynamic data of a third party big data or a platform obtained through interface link;

the payment module is used for sending a payment request to the payment system through the APP of the mobile terminal and realizing order payment through an online payment or link three-party payment mode;

the operation module is used for judging whether the database has qualified objects meeting orders or not, and arranging the qualified objects or the qualified object sets in ascending order or descending order according to a single or multiple preset dimensionalities of the system;

and the authorization module is used for executing any order purchase permission under any account to authorize.

Preferably, the order module consists of a product order unit, a service order unit and a custom order unit; the product order unit comprises a plurality of product columns with product label attributes, wherein a plurality of types of product items are arranged under any product column, and any product item is subjected to user-defined association with at least one piece of discrete data used for limiting the screenable range of the product item through an account; the tag attributes of all product items stored in the product column are product categories.

The service order unit comprises a plurality of service columns with service tag attributes, wherein a plurality of types of service items are arranged under any service column, and any service item is subjected to user-defined association with at least one piece of discrete data used for limiting the screening range of the service item through an account; the tag attributes of all the service items stored in the service column are service classes.

The custom order unit includes identifiable product items or service items that are custom entered via an account number, and discrete data custom entered to define the product items or service items. The user logs in through the account number and then carries out the product item or service item which is input by self-definition and the corresponding discrete data are required to be identified by the self-definition order unit, and the unidentifiable self-definition field information is fed back and prompted by error information, so that the subsequent flow is not carried out.

As a further optimization setup, the built-in data is composed of a plurality of product item and service item data, any one of which is fixedly associated with at least one discrete data for defining the product item and service item for the order module to identify and filter a qualified object or a set of qualified objects matching any order.

The application also provides a personalized reservation method based on big data, which is realized by the personalized reservation system based on big data as set forth in claim 3, and specifically comprises the following steps:

step ST10, logging in an intelligent mobile device APP through an account number, entering a preset system, and selecting corresponding product items or service items step by step according to product columns or service columns displayed by the system;

step ST20, custom selecting discrete data matching the product item or service item determined in step ST10, or custom defining the product item or service item, and custom defining the discrete data of the custom product item or service item;

step ST30, the order module generates an order, which is one of a plurality of discrete data for defining a product or service item;

step ST40, paying orders, wherein the APP sends a payment request through the mobile terminal and requests to obtain the authority of reading a payment system;

step ST50, respectively calling an online payment page or a three-party payment page by selecting the online payment page or the three-party payment page, and realizing online Unionpay payment or three-party payment by a payment protocol;

step ST60, the product item or service item corresponding to the successfully paid order is sent to an operation module, and the operation module invokes built-in data in a database to obtain a qualified object list A through matching;

if the output result of the qualified object list A is greater than 1, step ST80 is performed;

if the output result of the qualified object list A is equal to 0, step ST70 is performed;

step ST70, the product item or service item corresponding to the successfully paid order is sent to an operation module, the operation module invokes the externally connected data in the database, and the externally connected data are correspondingly linked with a three-party platform system through a plurality of interfaces to be matched, so that a qualified object list B is obtained;

if the output result of the qualified object list B is greater than 1, step ST80 is performed;

if the output result of the qualified object list B is equal to 0, step ST110 is performed;

step ST80, the order module orders the list A/B of the legal objects according to the preset discrete data of the system as the ordering basis, the authorization module reads whether the order has the purchase authorization given by the account number,

if the purchase authorization of the account is available, step ST100 is performed;

if the purchase authorization of the account is not available, step ST90 is performed;

step ST90, the system gives the operation account number to determine any product item/service item in the legal object list A/B in time T;

if the confirmation is not performed within the predetermined time T, the process proceeds to step ST110;

if the operation account number is confirmed within the time T, the step ST100 is performed;

in step ST100, the payment module checks the difference between the amount of the payment order in step ST50 and the required amount of the commodity/service item determined in step ST 90:

if the sum difference is positive, the full payment is represented, and the purchase or execution of the order is carried out;

if the sum difference is negative, paying the absolute value of the sum difference according to the steps ST40-ST 50;

step ST110, the order is completed and the balance is returned in the original way.

As one of the optimization schemes, the basis for sorting the qualified object list a/B in the step ST80 is one or more discrete data, and when the discrete data is multiple, the operation account number may perform priority customization on the multiple discrete data for sorting the qualified object list a/B through the authorization module. Meanwhile, when the sorting rule is set or is not executable or the sorting rule of the qualified object list A/B is undefined for the operation account, the random selection is executed.

The application also provides a business mode, which is realized by adopting the personalized reservation method based on big data, and the personalized reservation system provides the existing products and/or services according to the time, place and mode for self-definition, thereby meeting the requirements of the accurate and personalized customized services of the existing commercial products and services.

The beneficial effects are that:

according to the system, the existing big data is shared through the built-in data and the externally connected data, the on-line order transaction is realized through the existing open payment interface, and in terms of resource utilization, the existing commercial products and service information can be integrated through the system provided by the application, and the matching provision is carried out in real time according to the user requirements, so that the resource utilization rate and the circulation rate are improved; in the aspect of time cost input, a user can realize that personalized product or service needs are ordered or the available state of the product or service is known in advance in the journey, so that the time cost of the user is saved, and the actual efficiency is improved.

The business mode disclosed by the application can mobilize the flexibility of each section, fully integrate the existing internet sharing data, realize the accurate provision of personalized specific goods/services at specific time and specific places by using the O2O mode, and greatly save the conditions of long time period, untimely and uncontrollable delivery and the like caused by the purchase of users. Meanwhile, the business mode disclosed by the application is developed by taking a hotel as an off-line central point, is not only limited to on-line data flow operation, but also matched with off-line purchase and provision, and ensures the reliability and accuracy of order execution; the method has timely and effective feedback for the non-executable orders, so that the user can grasp the actual profile of the demands in real time, and the problems of efficiency reduction and cost input increase caused by information obstruction are avoided.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.

FIG. 1 is a schematic flow chart of a predetermined method of the present application;

FIG. 2 is a schematic diagram of the configuration of the reservation system of the present application;

fig. 3 is a schematic diagram of a payment flow of the payment module.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.

In the description of the present application, it should be noted that, if the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate an azimuth or a positional relationship based on that shown in the drawings, or an azimuth or a positional relationship in which a product of the application is conventionally put in use, it is merely for convenience of describing the present application and simplifying the description, and it is not indicated or implied that the referred device or element must have a specific azimuth, be constructed and operated in a specific azimuth, and thus should not be construed as limiting the present application. Furthermore, the terms "first," "second," and the like in the description of the present application, if any, are used for distinguishing between the descriptions and not necessarily for indicating or implying a relative importance.

Furthermore, the terms "horizontal," "vertical," and the like in the description of the present application, if any, do not denote a requirement that the component be absolutely horizontal or overhang, but rather may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.

In the description of the present application, it should also be noted that, unless explicitly stated and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.

In order to describe the personalized reservation system provided by the application more precisely, the applicant takes the most prominent hotel industry as an example, takes people going out as demand users, and particularly, the personalized reservation system is described in detail.

Example 1:

the present embodiment aims to explain a big data based personalized reservation system provided by the present embodiment for a pedestrian who has a personalized need in a travel process, to implement a process and a data flow principle of resource circulation, product reservation or enjoying service, and specifically, the personalized reservation system includes an APP running through a mobile terminal, and a server performing data interaction with the APP, where the server includes:

an order module for storing discrete data for composing different types of orders in a classified manner, any of the discrete data being used to define a single dimension of the order, and generating an order with a well-defined range from a plurality of the discrete data; the discrete data is composed of standard data and custom data.

The order module consists of a product order unit, a service order unit and a custom order unit; the product order unit comprises a plurality of product columns with product label attributes, wherein a plurality of types of product items are arranged under any product column, and any product item is subjected to user-defined association with at least one piece of discrete data used for limiting the screenable range of the product item through an account; the tag attributes of all product items stored in the product column are product categories.

The database is used for matching the built-in data and/or the externally connected data required by the order generated by the order module, wherein the built-in data is preset or imported by the system; the built-in data is composed of a plurality of product item and service item data, any one product item or service item is fixedly associated with at least one discrete data for limiting the product item and service item, and the discrete data is used for an order module to identify and screen a qualified object or a qualified object set matched with any order. The externally connected data is dynamic data of a third party big data or a platform obtained through interface link;

Specifically:

so that the dress traveler Li Mou attends the meeting from the capital travel Beijing afternoon on a certain day, and attends the cutting event at night as an example:

the meeting information scheduled in the afternoon is as follows:

meeting time: 14:00-17:00

Conference type: business class

Dressing requirements: shirts, western-style clothes and leather shoes;

conference content: project lectures;

the night clipping activity information is as follows:

activity time: 18:30-20:30

Activity type: business class/banquet

Dressing requirements: dress with gift

The activity content: color-cutting

The personalized reservation system provided according to the embodiments may arrange the itineraries as follows and the resource allocation scheme as follows:

the traveler Li Mou takes the airplane 9:30 am on the same day to fly to Beijing, 12:00 arrives at the capital airport, 13:00 arrives at the check-in hotel, and immediately goes to the meeting site after the clothing is replaced, the preparation is carried out before the meeting, the preparation time is about 40-50 minutes, and then the meeting can be started.

Meanwhile, li Mou can utilize less than about 5 minutes when waiting for a machine, and can be used for reserving western-style clothes suits required for afternoon conferences and full-dress required for evening color-cutting activities through the personalized reservation system provided by the embodiment. When Li Mou is reserved by the personalized reservation system provided in this embodiment, the hotel receives the order of the western-style clothes and the full dress, and can execute the purchase, the airplane spends about 2 hours and 30 minutes from the capital to Beijing, li Mou takes about 1 hour to arrive at the hotel from the capital airport through the airport private line or the special car, then the relevant personnel of the hotel has sufficient time to complete the time locally, and the product item of the order is purchased: western-style clothes suits and full-style clothes suits, when Li Mou arrives at the hotel at 13:00 pm, the individual's customized order products can be offered by the horse: the suit and the full dress suit are used without wasting Li Mou any time cost.

The process of obtaining the ordered product by the personalized reservation system according to the present embodiment for the order of Li Mou in the present embodiment is as follows:

first, logging in a system account, and selecting a product column-product item through an order module: clothing-western style clothes; setting the defined discrete data for the selected product item includes:

discrete data 1: the style is business style;

discrete data 2: the color is black/dark;

discrete data 3: the sizes are respectively as follows: a jacket, 175/95B-L; western-style trousers, 175/80A-L;

discrete data 4: the price is not higher than 2500 yuan;

discrete data 5: the brand is jacor;

discrete data 6: the delivery time was 13:00 a day ago.

Secondly, three-party payment is associated through a mobile phone: e.g., 2500 yuan of prepaid for WeChat payment order, successful order placement; meanwhile, the order is authorized to have purchase rights through the system authorization module, and the account number is not required to be confirmed again.

Finally, the system matches built-in data to obtain 3 qualified objects meeting the order requirement, and the only difference is that the prices are different, namely 1800 yuan/set, 1980 yuan/set and 2088 yuan/set; the system is arranged in ascending order according to the discrete data 4 as a sequencing basis, and the default selection rank is first, so that the default price of the system is 1800 yuan/suit of the jacobian suit. The off-line execution can be carried out by the relevant personnel of the hotel to the built-in data corresponding to the merchant for taking goods or the merchant for dispatching the goods to the hotel, the time line of the process is controlled to be within 90 minutes, which is obviously lower than 3 hours and 30 minutes required by Li Mou to actually check in the hotel, the time cost of Li Mou is greatly saved, and the calling circulation of the internal resources of clothing stores around the hotel is realized. It is worth to say that, because the system aims at providing timely and accurate personalized service, the built-in data of the system is basically collected by default by taking a hotel as a center according to different actual hotel staffs, and the area within the range of 10km is radiated, so that the order execution time is completely controllable. The externally connected data is generally used for generating orders, and the time for delivering the product items is longer than 24 hours, so that the range of the actual product items can be expanded by more than one order, and the support of big data and massive product items and service items can be fully shared.

After the order is completed, the system settles 1800-element order fee, and the corresponding original way returns the balance to complete the order. It should be noted that, in this embodiment, the implementation of the system for personalized customized service is mainly described, and the application economic benefit of the actual business is not focused, however, the service fee may be deducted according to x% of the total amount of the order through the operation module and the payment module, and x is defined, which belongs to the prior art, and is not described in detail but is not the focus of the description of this embodiment.

The prior art can implement the following scheme:

under the same conditions Li Mou 13:00 arrives at the hotel to be checked in, the meeting is scheduled for less than 60 minutes, and when the meeting and the clothing of the color-cutting event are not properly attended, li Mou self-outgoing purchase is inevitably difficult to realize, otherwise the meeting cannot be attended according to the specified requirement, or serious problems such as meeting absence occur.

Solving the above problems according to the existing conditions would be to advance the formation, for example, advance the 9:30 aircraft to 7:30, then according to the same voyage and time Li Mou would increase the meeting preparation and service preparation time by 2 hours, would directly invest more than 2 hours in time cost; at the same time, li Mou for purchasing the related clothes additionally generates other expenses such as traffic fees and the like, and the economic cost is increased. Furthermore, the lead time of the flight, li Mou, essentially requires preparation of the departure airport at about 5:00 a.m., which would have a serious negative impact on the rest of Li Mou.

In summary, the system can greatly reduce the investment in economy and time, and the efficiency is obviously improved.

Example 2:

the embodiment takes personalized content as a service item for example and is used for specifically explaining the personalized reservation system based on big data. In this embodiment, li Mou trip is taken as an example, and a personalized hotel needs to be reserved. Based on the principle of embodiment 1, specifically, a certain sunrise Shenzhen of plum, the origin is Chengdu, a Shenzhen of predetermined day and next day is required to check in, and the requirements are as follows:

the hotel position is close to the Shenzhen bay park, and the maximum linear distance is not more than 5km; the hotel room area is not less than 40m ² A hotel lobby with landing window, a bathtub, independent wireless network, large round bed, reservation of the day for check-in 18: and (3) entering before 00.

Firstly, logging in a system account, and selecting a service bar-service item through an order module: hotel reservation; setting the defined discrete data for the selected service item includes:

discrete data 1: the hotel address is positioned in the Shenzhen city in the south mountain area, and the straight line distance of the Shenzhen bay park is not more than 5km;

discrete data 2: the area is more than or equal to 40 square;

discrete data 3: having a columnless lobby;

discrete data 4: providing a bathtub;

discrete data 5: providing an independent wireless network;

discrete data 6: providing a large circular bed;

discrete data 7: day 18:00 in.

Secondly, three-party payment is associated through a mobile phone: for example, the payment treasures pay for order 500 yuan, and successfully place an order.

The system screens all the coincidence items through the external connection data of the discrete data 1-7 association database, and the specific screening is as follows:

sequence number	Hotel name	Distance of	Price of
				1	Shenzhen lotus hotel	2.9km	> 1600 yuan
2	Shenzhen Bay kapok hotel	1.8km	> 1055 yuan
				3	RabbitApartment (Shenzhen sea world store)	2.9km	2138 yuan
4	Shenzhen bay technological garden jadeite famous hotel	2.1km	More than 1270 yuan
				5	Shenzhen Zhen Zhongzhou Wanhao hotel	2.5km	More than 1323 yuan
6	Shenzhen Hedera helix service apartment	2.7km	Greater than 1040 yuan
				7	Shenzhen Kaibis hotel	2.1km	More than 1062 yuan

TABLE 1

The order module sends the list information to a preset account number to determine, so that the system provides 'help-select' service for the subscriber, and the account number confirmation time T is set, wherein the value of T is one hour before the hotel list pushing time which accords with the condition reaches the check-in time, and if the total duration of T exceeds 2 hours, the value of T is 2 hours; if the total duration of T is less than 2 hours, the value is the actual duration.

And the account number to be ordered receives the confirmation information to autonomously select any service item in the table 1, a payment module of the system is activated after the selection and calculates the difference of the insufficient payment, and the account number is ordered and ordered after the difference payment.

It should be noted that, the system may further define a credit level of any account, where any credit level may correspond to a credit payment enjoying a corresponding amount, and the corresponding amount for the credit payment may be paid after the order is completed. Other data processing logic in this embodiment is the same as that of embodiment 1, and will not be described here again.

Example 3:

referring to fig. 1-3, this embodiment provides a personalized reservation method based on big data, which is implemented by the personalized reservation system based on big data described in embodiment 1, and specifically includes the following steps:

step ST10, logging in an intelligent mobile device APP through an account number, entering a preset system, and selecting corresponding product items or service items step by step according to product columns or service columns displayed by the system; such as selecting a corresponding product item in a product column: western-style clothes.

Step ST20, custom selecting discrete data 1-6 matching the western style clothes determined in step ST10, discrete data 1: the style is business style;

discrete data 2: the color is black/dark;

discrete data 4: the price is not higher than 2500 yuan;

discrete data 5: the brand is jacor;

discrete data 6: the delivery time was 13:00 a day ago.

In step ST30, the order module generates an order, which is a product item: western-style clothes;

step ST50, respectively calling WeChat payment pages of the three-party payment by selecting the three-party payment, and realizing WeChat payment by a payment protocol;

step ST60, the western-style clothes information corresponding to the successfully paid order is sent to an operation module, and the operation module invokes the built-in data in the database to obtain a qualified object list A through matching;

object list a: on the premise that 3 sets of discrete data 1-3 and 5-6 are met, the information of the discrete data 4 is 1800 yuan/set, 1980 yuan/set and 2088 yuan/set respectively;

since the output result of the qualified object list a is greater than 1, step ST80 is performed;

if the output result of the qualified object list B is equal to 0, step ST110 is performed; since the delivery date of the present embodiment is the same day and does not exceed 24 hours, no external data is used, and the present embodiment does not refer to the content of step ST 70.

In step ST80, the order module orders the qualified object list a according to the system preset discrete data 4 as a sorting basis, the authorization module reads whether the order has the purchase authorization given by the account number,

if the purchase authorization of the account is not available, step ST90 is performed; the time schedule of Li Mou in this embodiment is very urgent, and there may be a problem that information cannot be processed in time due to the lack of wireless signals on an airplane, and time waste is caused by the inability to confirm in time, so that the maximum efficiency processing is realized by adopting an account authorization mode.

if the sum difference is negative, paying the absolute value of the sum difference according to the steps ST40-ST 50; in this embodiment, since the limit requirement of the discrete data 4 is that the price is not higher than 2500 yuan, and the early payment amount is 2500 yuan, there is no problem of no difference, and thus the present embodiment will not involve the supplementary payment process of step ST 100. Otherwise, it is required.

It should be noted that, the basis for sorting the qualified object list a/B in the step ST80 is one or more discrete data, and when the discrete data is multiple, the operation account number may perform priority customization on the multiple discrete data for sorting the qualified object list a/B through the authorization module. Meanwhile, when the sorting rule is set or is not executable or the sorting rule of the qualified object list A/B is undefined for the operation account, the random selection is executed. Specifically: if the price of the discrete data 4 is ranked as the highest priority, black in the discrete data 2 is ranked as the second priority, and dark is ranked as the third priority, the top piece of western-style clothes in the obtained object list should be the piece with the lowest price; on the premise of equivalent price, the black suit will rank before the dark suit, and so on.

Example 3:

As shown in embodiment 1 and embodiment 2, a person who goes out to check in to a hotel such as Li Mou can use the huge amount of resources available in the periphery of check-in even on the market through an online channel to the maximum extent, and does not additionally spend his own time input cost. The system can realize the full-node integration of hotels, retail, electronic commerce and express delivery/flash delivery on the premise of supporting Internet big data so as to make up for the diversified and personalized spirit and material demands of current people, further activate market economy and provide necessary conditions for intelligent hotels and customized services.

The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. The personalized reservation system based on big data comprises an APP (application) operated by a mobile terminal and a server for carrying out data interaction with the APP, and is characterized in that: the server includes: the account module is used for creating and storing an account which can be used for logging in the personalized reservation system and verifying whether the account has legal login rights; an order module for storing discrete data for composing different types of orders in a classified manner, any of the discrete data being used to define a single dimension of the order, and generating an order with a well-defined range from a plurality of the discrete data; the discrete data consists of standard data and custom data; the database is used for matching the built-in data and/or the externally connected data required by the order generated by the order module, wherein the built-in data is preset or imported by the system; the externally connected data is dynamic data of a third party big data or a platform obtained through interface link; the payment module is used for sending a payment request to the payment system through the APP of the mobile terminal and realizing order payment through an online payment or link three-party payment mode; the operation module is used for judging whether the database has qualified objects meeting orders or not, and arranging the qualified objects or the qualified object sets in ascending order or descending order according to a single or multiple preset dimensionalities of the system; the authorization module is used for executing any order purchase permission under any account to authorize;

the order module consists of a product order unit, a service order unit and a custom order unit; the product order unit comprises a plurality of product columns with product label attributes, wherein a plurality of types of product items are arranged under any product column, and any product item is subjected to user-defined association with at least one piece of discrete data used for limiting the screenable range of the product item through an account; the service order unit comprises a plurality of service columns with service tag attributes, wherein a plurality of types of service items are arranged under any service column, and any service item is subjected to user-defined association with at least one piece of discrete data used for limiting the screening range of the service item through an account; the custom order unit comprises identifiable product items or service items which are custom-input through account numbers, and discrete data which are custom-input and are used for limiting the product items or the service items;

the built-in data is composed of a plurality of product item and service item data, any one product item or service item is fixedly associated with at least one discrete data for limiting the product item and service item, and the discrete data is used for an order module to identify and screen qualified objects matched with any order.

2. A personalized reservation method based on big data, characterized in that: the personalized reservation system based on big data according to claim 1, comprising the following steps:

step ST10, logging in an intelligent mobile device APP through an account number, entering a preset system, and selecting corresponding product items or service items step by step according to product columns or service columns displayed by the system; step ST20, custom selecting discrete data matching the product item or service item determined in step ST10, or custom defining the product item or service item, and custom defining the discrete data of the custom product item or service item; step ST30, the order module generates an order, which is one of a plurality of discrete data for defining a product or service item; step ST40, paying orders, wherein the APP sends a payment request through the mobile terminal and requests to obtain the authority of reading a payment system; step ST50, respectively calling an online payment page or a three-party payment page by selecting the online payment page or the three-party payment page, and realizing online Unionpay payment or three-party payment by a payment protocol; step ST60, the product item or service item corresponding to the successfully paid order is sent to an operation module, and the operation module invokes built-in data in a database to obtain a qualified object list A through matching; if the output result of the qualified object list A is greater than 1, step ST80 is performed; if the output result of the qualified object list A is equal to 0, step ST70 is performed; step ST70, the product item or service item corresponding to the successfully paid order is sent to an operation module, the operation module invokes the externally connected data in the database, and the externally connected data are correspondingly linked with a three-party platform system through a plurality of interfaces to be matched, so that a qualified object list B is obtained; if the output result of the qualified object list B is greater than 1, step ST80 is performed; if the output result of the qualified object list B is equal to 0, step ST110 is performed; step ST80, the order module orders the list A/B of the legal objects according to the preset discrete data of the system as the ordering basis, the authorization module reads whether the order has the purchase authorization given by the account number, if so, the step ST100 is performed; if the purchase authorization of the account is not available, step ST90 is performed; step ST90, the system gives the operation account number to determine any product item/service item in the legal object list A/B in time T; if the confirmation is not performed within the predetermined time T, the process proceeds to step ST110; if the operation account number is confirmed within the time T, the step ST100 is performed; in step ST100, the payment module checks the difference between the amount of the payment order in step ST50 and the required amount of the commodity/service item determined in step ST 90: if the sum difference is positive, the full payment is represented, and the purchase or execution of the order is carried out; if the sum difference is negative, paying the absolute value of the sum difference according to the steps ST40-ST 50; step ST110, completing the order and returning the balance in the original way; the basis for sorting the qualified object list a/B in step ST80 is one or more discrete data, and when the discrete data is multiple, the operation account number can perform priority customization on the discrete data for sorting the qualified object list a/B through the authorization module, and if the sorting rule of the qualified object list a/B is not defined by the system or the operation account number in step ST80, the random selection is performed.