CN112686696A - Intelligent management method and device for customer information, computer equipment and storage medium - Google Patents
Intelligent management method and device for customer information, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to the field of big data application, in particular to a method, a system, computer equipment and a storage medium for intelligent management of customer information, which comprises the steps of obtaining attribute information of a target object, wherein the attribute information comprises at least one type of identity data; based on the data judgment program, executing judgment on the at least one identity data to judge whether the at least one identity data appears for the first time; if yes, storing at least one kind of identity data, acquiring favorite data of the target object based on the at least one kind of identity data, and establishing a private data model of the target object based on the favorite data; if not, based on at least one identity data, calling favorite data of the private data model; and executing scene layout based on the called preference data. The method and the device have the effect of improving the experience of the target object in the living.
Description
Technical Field
The present application relates to the field of big data applications, and in particular, to a method and an apparatus for intelligently managing client information, a computer device, and a storage medium.
Background
Along with the prosperity of economy and the improvement of living standard of people, the demands of business transaction, tourism, vacation and leisure and other work and living are increasing day by day. Frequent trips of people bring huge development space for service industries such as hotels, and the hotels are increasingly popular, and the service management level of the hotels needs to be continuously improved.
In service industries such as hotels and the like in the related art, check-in procedures are transacted for clients through a computer, after the check-in procedures are completed, the clients can check in the hotels, however, the arrangement of rooms in the hotels is basically the same, the preference condition of the clients in the hotels cannot be recorded in the hotel backstage, when the clients check in the hotels next time, the clients need to readjust the check-in procedures, and the hotel management in the related art adopts a single and isolated system.
With respect to the related art in the above, the inventors consider that there is a drawback that the customer stay experience is low.
Disclosure of Invention
In order to improve the check-in experience of a client, the application provides a method and a device for intelligently managing client information, computer equipment and a storage medium.
In a first aspect, the present application provides a method for intelligently managing customer information, which adopts the following technical solutions:
a customer information intelligent management method comprises the following steps:
acquiring attribute information of a target object, wherein the attribute information comprises at least one type of identity data;
based on the data judgment program, executing judgment on the at least one identity data to judge whether the at least one identity data appears for the first time;
if yes, storing at least one kind of identity data, acquiring favorite data of the target object based on the at least one kind of identity data, and establishing a private data model of the target object based on the favorite data;
if not, based on at least one identity data, calling favorite data of the private data model;
and executing scene layout based on the called preference data.
By adopting the technical scheme, at least one kind of identity data of the target object is obtained, and the data judgment program is adopted to judge the at least one kind of identity data so as to determine whether the at least one kind of identity data appears for the first time, if the at least one kind of identity data appears for the first time, favorite data of the target object is collected according to the at least one kind of identity data, a private data model of the target object is established according to the favorite data, and then the favorite data is stored in the private data model, otherwise, if the at least one kind of identity data appears for the second time, the favorite data is directly called according to the at least one kind of identity data, and scenes are laid according to the favorite data; the information is collected, counted and analyzed in a big data mode, so that the purpose of automatically laying scenes according to the favor of the target object is achieved, and the use experience of the target object is improved.
Optionally, the at least one identity data includes face information, member information, a mobile phone number and/or an identification number.
By adopting the technical scheme, at least one type of identity data is set as the face information, the member information, the mobile phone number and/or the identity card number, and then the identity of the target object is conveniently determined by acquiring the information.
Optionally, the favorite data is collected through the front end and sent to the background through the statistical interface for storage.
Through the technical scheme, the favorite data of the target object are collected through the front end, and are sent to the background through the statistical interface to be stored, so that the favorite data of the target object can be conveniently stored and called.
Optionally, the preference data includes a function instruction with high frequency of use and long time of use.
Through the technical scheme, the preference data is set as the functional instruction with high use frequency and long use time, and then the preference data of the target object can be determined by monitoring the use frequency and the use time of the functional instruction, so that the preference data can be conveniently counted.
Optionally, the privatized data model is stored in a storage server, and the storage server supports server load balancing.
By adopting the technical scheme, the storage work of the privatized data model is completed through the independent storage server, and then the effects of load balancing and space expansion of the storage server can be realized.
In a second aspect, the present application provides a customer information intelligent management system, which adopts the following technical solution:
a customer information intelligent management system, which adopts the method of the first aspect, and comprises:
the information acquisition module is used for acquiring attribute information of the target object, wherein the attribute information comprises at least one type of identity data;
the information sending module is used for sending at least one type of identity data;
the information judgment module is used for judging at least one type of identity data and obtaining a judgment result, wherein the judgment result comprises first appearance and second appearance;
the model building module is used for collecting favorite data of the target object according to at least one first-appearing identity data and building a private data model of the target object based on the favorite data;
the model calling module is used for calling the preference data of the private data model according to the reappeared at least one type of identity data;
and the scene layout module is used for executing scene layout according to the called preference data.
By adopting the technical scheme, at least one kind of identity data of a target object is acquired through an information acquisition module, the at least one kind of identity data is transmitted to an information judgment module through the information transmission module, the at least one kind of identity data is judged through the information judgment module to determine whether the at least one kind of identity data appears for the first time, if the at least one kind of identity data appears for the first time, favorite data of the target object is acquired according to the at least one kind of identity data, a private data model of the target object is established through a model construction module according to the favorite data, the favorite data is further stored in the private data model, otherwise, if the at least one kind of identity data appears again, the favorite data is directly called through the model calling module according to the at least one kind of identity data, and a scene is laid according to the favorite data; the information is collected, counted and analyzed in a big data mode, so that the purpose of automatically laying scenes according to the favor of the target object is achieved, and the use experience of the target object is improved.
In a third aspect, the present application provides a computer device, which adopts the following technical solution:
a computer device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, when loaded with the computer program, performing the method of the first aspect.
By adopting the technical scheme, the computer program is generated based on the method of the first aspect and is stored in the memory so as to be loaded and executed by the processor, and therefore, the computer equipment is manufactured according to the memory and the processor and is convenient for a user to use.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium having stored thereon a computer program which, when loaded by a processor, performs the method of the first aspect.
By adopting the technical scheme, the computer program is generated based on the method of the first aspect and is stored in the computer readable storage medium to be loaded and executed by the processor, and the computer program can be conveniently read and stored through the computer readable storage medium, so that a user can conveniently call and use the computer program.
Drawings
Fig. 1 is a flowchart of a method of the present application for intelligent management of customer information.
Fig. 2 is a logic control diagram of the customer information intelligent management method of the present application.
Fig. 3 is a block diagram of a customer information intelligent management system according to the present application.
Description of reference numerals: 1. an information acquisition module; 2. an information sending module; 3. an information judgment module; 4. a model building module; 5. a model calling module; 6. and a scene layout module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings X-X and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiment of the application discloses an intelligent management method for client information. One scenario for which the method is applicable is a hotel, that is, the method is applied to a hotel management system, and referring to fig. 1 and 2, the method includes:
obtaining attribute information of the target object, wherein the attribute information comprises at least one type of identity data.
In this embodiment, the target object is a customer who enters the hotel, and then before the customer enters the hotel, at least one type of identity data of the customer needs to be acquired to register the hotel, preferably, the at least one type of identity data includes face information, member information, a mobile phone number or an identity card number of the customer.
When a customer first enters a hotel, a hotel worker can register any one or more of face information, member information, a mobile phone number, an identity card number and the like of the customer, and store and backup the information of the customer, specifically, the face information of the customer is acquired by adopting a face recognition device, for example, the customer is photographed by utilizing a camera in a hotel lobby or a door, the member information, the mobile phone number and the identity card number of the customer are registered by adopting a terminal, and for example, the customer is registered by utilizing a front desk computer.
Based on the data determination procedure, a determination of the at least one identity data is performed to determine whether the at least one identity data is first present.
The method comprises the steps of judging face information, member information, a mobile phone number or an identity card number and the like of a client according to an existing data judgment program so as to judge whether the information appears for the first time, and further determining whether the client enters a hotel for the first time.
Specifically, before a customer enters a hotel, the collection device is used for collecting the identity data of the customer, and the collected identity data is compared with the stored customer information to determine whether the collected identity data appears for the first time.
If yes, storing at least one kind of identity data, collecting favorite data of the target object based on the at least one kind of identity data, and establishing a privatized data model of the target object based on the favorite data.
Wherein, if the collected identity data is used for determining that the client is in the hotel for the first time, the collected identity data is stored, the preference data of the client is collected according to the collected identity data, and further, the storage and the calling of the preference data are facilitated, in the embodiment, the preference data comprises function instructions with higher use frequency and longer use time, specifically, the preference data of the client is collected through a set front end, the preference data is sent to a background through a statistical interface for storage, the frequency of use and the use time of the preference data of the client are determined through statistical analysis of the collected preference data, namely, the preference data of the client can be determined through analyzing the use frequency, the use time and the use scene of the function instructions of the client, and a privatization data model is established for the client according to the preference data of the client, in this embodiment, the privatized data model is a privatized data file, and the favorite data is stored in the privatized data file.
Specifically, the preference data includes the number of the room to live in, the type and floor of the room to live in, the lighting pattern in the guest room, the temperature condition of the air conditioner, the favorite aroma, the welcome words displayed by the television, the favorite television programs, the movie programs, the music programs, and the like, and the type of the room to live in includes whether the room is a smokeless room, whether a window exists, whether a corridor is close to, and the like.
The privatized data archives can be stored in a single storage Server (SLB), and in this embodiment, the storage server supports server load balancing, so that load balancing and space expansion of the storage server are facilitated, that is, the capacity of the storage server can be increased, so as to store more privatized data archives.
If not, the preference data of the private data model is called based on at least one type of identity data.
And if the client is determined to be checked in the hotel again through the acquired identity data, calling the preference data in the private data model by using a set calling program according to the acquired identity data.
And executing scene layout based on the called preference data.
According to the called preference data, the scenes which are liked by the clients are laid in the hotel, namely, the function of laying the custom scenes is realized, and the experience of the clients in the hotel is improved.
Specifically, for example, after a customer enters a hotel, welcome words of the customer, channel programs, movie programs, music programs and the like preferred by the customer can be automatically adapted through an interactive system of the hotel, and meanwhile, scenes in guest rooms in the hotel can be automatically regulated and controlled, so that a comfortable lighting scene preferred by the customer is created.
The implementation principle of the intelligent client information management method in the embodiment of the application is as follows: when a client is in a hotel, an information acquisition device in the hotel acquires client identity data to acquire face information, member information, mobile phone number information and/or identity card information of the client, further to determine whether the client is in the hotel for the first time, if the client is in the hotel for the first time, the client identity data is stored, in the process of the client in the hotel, the client favorite data is acquired by using a front end and is sent to a background through a statistical interface to be stored, a client privatization data file is established according to the favorite data, if the client is in the hotel for the second time, the user identity data is displayed through a popup window, the favorite data in the privatization data file is called according to the client identity data, and a client favorite scene is arranged in a hotel room according to the favorite data; through the setting of the method, a privatized data file is established for each customer who check in the hotel so as to manage the identity data, reasonable humanized and intelligent service is provided, and the experience of the customer checking in the hotel is improved.
The embodiment of the application discloses an intelligent client information management system, wherein the intelligent client information management method of the embodiment is adopted, and reference is made to fig. 3, the system comprises an information acquisition module 1, an information sending module 2, an information judgment module 3, a model construction module 4, a model calling module 5 and a scene layout module 6, specifically, the information sending module 2 is respectively communicated with the information acquisition module 1 and the information judgment module 3, the model construction module 4 is respectively communicated with the information judgment module 3 and the model calling module 5, and the scene layout module 6 is communicated with the model calling module 5.
Wherein, information acquisition module 1 is used for gathering customer's at least one kind of identity data, in this embodiment, at least one kind of identity data includes customer's face information, member information, cell-phone number or identification card number etc., and, when choosing customer's face information, adopt face identification device to gather customer's face information, for example, set up the camera in hotel lobby or gate, in order to gather customer's face information, when electing customer's member information, cell-phone number information and/or identification card number information, adopt the registration device that sets up in the hotel to register above-mentioned information, and send the identity data who gathers to information judgment module 3 through information sending module 2, in this embodiment, information sending module 2 can be wireless transmission module or wired transmission module.
The information judgment module 3 is configured to judge the identity data to obtain a judgment result, in this embodiment, the judgment result includes first appearance and second appearance, that is, the customer is a hotel which is checked in for the first time and the customer is a hotel which is checked in for the second time, and the judgment result is sent to the model construction module 4.
In the embodiment, the preference data comprises functional instructions with high use frequency and long use time, the preference data is sent to the background through the statistical interface to be stored, and a private data model is built for the client through the model building module 4 according to the collected preference data.
Specifically, the preference data includes the number of the room to live in, the type and floor of the room to live in, the lighting pattern in the guest room, the temperature condition of the air conditioner, the favorite aroma, the welcome words displayed by the television, the favorite television programs, the movie programs, the music programs, and the like, and the type of the room to live in includes whether the room is a smokeless room, whether a window exists, whether a corridor is close to, and the like.
The privatized data archives can be stored in a single storage Server (SLB), and in this embodiment, the storage server supports server load balancing, so that load balancing and space expansion of the storage server are facilitated, that is, the capacity of the storage server can be increased, so as to store more privatized data archives.
Specifically, the determination of the customer preference data includes:
the statistical analysis is carried out on the collected preference data to determine the frequency and the time of the use of the preference data by the client, namely, the preference data of the client can be determined by analyzing the frequency, the time and the scene of the use of the function instruction by the client.
When the judgment result is that the client check in the hotel again, the preference data in the privatization data archive is called through the model calling module 5 according to the identity data of the client, and the favorite scenes of the client are arranged in the hotel rooms through the scene arranging module 6 according to the called preference data, for example, in the hotel rooms, welcome words of the client, favorite channel programs of the client, television programs, movie programs, music programs and the like are automatically adapted, so that the scene arrangement in the hotel rooms is automatically regulated, a comfortable check-in scene is created for the client, and the check-in experience of the client is improved.
The implementation principle of the intelligent client information management method in the embodiment of the application is as follows: when a client is in a hotel, the client identity data is collected through the information collection module 1 to collect the face information, member information, mobile phone number information and/or identity card information of the client, the identity data is sent to the information judgment module 3 through the information sending module 2, then whether the client is in the hotel for the first time is determined through the information judgment module 3, if the client is in the hotel for the first time, the client identity data is stored, in addition, in the process of the client entering the hotel, the preference data of the client is collected through the front end and sent to the background through the statistical interface for storage, according to the preference data, a privatization data file of the client is established through the model construction module 4, if the client is in the hotel for the second time, the popup window of the model calling module 5 is used for displaying the user identity data, and according to the identity data of the client, the favorite data in the privatized data file is called, and according to the favorite data, scenes which are favorite by customers are distributed in hotel guest rooms through a scene distribution module 6; through the setting of this system, establish privatized data file for every customer of living in the hotel to manage customer's identity data, provide reasonable humanized, intelligent service, promoted the experience nature that the customer lived in the hotel.
The embodiment of the application discloses computer equipment, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein when the processor loads the computer program, the intelligent client information management method is executed.
The computer device may be a desktop computer, a notebook computer, or a cloud server, and the computer device includes but is not limited to a processor and a memory, for example, the computer device may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), and of course, according to an actual use situation, other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like may also be used, and the general processor may be a microprocessor or any conventional processor, and the present application does not limit the present invention.
The memory may be an internal storage unit of the computer device, for example, a hard disk or a memory of the computer device, or an external storage device of the computer device, for example, a plug-in hard disk, a Smart Memory Card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the computer device, or a combination of the internal storage unit of the computer device and the external storage device, and the memory is used for storing a computer program and other programs and data required by the computer device, and may also be used for temporarily storing data that has been output or will be output, which is not limited in this application.
The intelligent client information management method of the embodiment is stored in a memory of the computer device through the computer device, and is loaded and executed on a processor of the computer device, so that the intelligent client information management method is convenient for a user to use.
The embodiment of the application discloses a computer-readable storage medium, and a computer program is stored in the computer-readable storage medium, wherein when the computer program is loaded by a processor, the intelligent management method for the client information is executed.
The computer program may be stored in a computer readable medium, the computer program includes computer program code, the computer program code may be in a source code form, an object code form, an executable file or some intermediate form, and the like, the computer readable medium includes any entity or device capable of carrying the computer program code, a recording medium, a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, and the like, and the computer readable medium includes but is not limited to the above components.
The intelligent client information management method of the embodiment is stored in the computer-readable storage medium through the computer-readable storage medium, and is loaded and executed on the processor, so as to facilitate the storage and application of the intelligent client information management method.
The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (8)
1. A customer information intelligent management method is characterized by comprising the following steps:
acquiring attribute information of a target object, wherein the attribute information comprises at least one type of identity data;
based on the data judgment program, executing judgment on the at least one identity data to judge whether the at least one identity data appears for the first time;
if yes, storing at least one kind of identity data, acquiring favorite data of the target object based on the at least one kind of identity data, and establishing a private data model of the target object based on the favorite data;
if not, based on at least one identity data, calling favorite data of the private data model;
and executing scene layout based on the called preference data.
2. The intelligent management method for customer information according to claim 1, wherein the at least one identity data comprises face information, member information, mobile phone number and/or identification number.
3. The intelligent customer information management method according to claim 1, wherein the preference data is collected by a front end and sent to a background for storage through a statistical interface.
4. The intelligent management method for client information as claimed in claim 3, wherein the preference data includes function commands with high frequency of use and long time of use.
5. The intelligent management method for client information according to claim 1, wherein the privatized data model is stored in a storage server, and the storage server supports server load balancing.
6. A customer information intelligent management system, characterized in that, the method of any one of claims 1-5 is adopted, which comprises:
the information acquisition module (1) is used for acquiring attribute information of a target object, wherein the attribute information comprises at least one type of identity data;
the information sending module (2) is used for sending at least one type of identity data;
the information judgment module (3) is used for judging at least one type of identity data and obtaining a judgment result, wherein the judgment result comprises first appearance and second appearance;
the model building module (4) is used for collecting favorite data of the target object according to at least one first-appearing identity data and building a private data model of the target object based on the favorite data;
the model calling module (5) is used for calling the preference data of the private data model according to the reappeared at least one type of identity data;
and the scene layout module (6) is used for executing scene layout according to the called preference data.
7. A computer device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, characterized in that the processor, when loaded with the computer program, performs the method of any of claims 1-5.
8. A computer-readable storage medium, in which a computer program is stored which, when being loaded by a processor, is adapted to carry out the method of any one of claims 1 to 5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113325723A (en) * | 2021-04-27 | 2021-08-31 | 深圳市壹厘米科技有限公司 | Personalized intelligent scene generation control method, device, equipment and storage medium |
| CN113825027A (en) * | 2021-09-28 | 2021-12-21 | 深圳市视壮科技有限公司 | DTV-to-IPTV local area network playing method, system, device and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222283A (en) * | 2011-06-24 | 2011-10-19 | 常州锐驰电子科技有限公司 | Data management system for face recognition |
| CN202230509U (en) * | 2011-06-24 | 2012-05-23 | 常州锐驰电子科技有限公司 | Face identification data management system |
| CN103809536A (en) * | 2012-11-09 | 2014-05-21 | 无锡美新物联网科技有限公司 | Intelligent guest room management system |
| CN107316254A (en) * | 2017-08-01 | 2017-11-03 | 深圳市益廷科技有限公司 | A kind of hotel service method |
| CN107424085A (en) * | 2017-08-01 | 2017-12-01 | 深圳市益廷科技有限公司 | A kind of hotel service system |
| CN109917662A (en) * | 2019-03-22 | 2019-06-21 | 深圳市沃特沃德股份有限公司 | Control method, device, computer equipment and the storage medium of smart machine |
| CN112025724A (en) * | 2020-08-21 | 2020-12-04 | 北京云迹科技有限公司 | Full-automatic check-in system and method based on robot memory function |
-
2020
- 2020-12-28 CN CN202011584750.XA patent/CN112686696A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222283A (en) * | 2011-06-24 | 2011-10-19 | 常州锐驰电子科技有限公司 | Data management system for face recognition |
| CN202230509U (en) * | 2011-06-24 | 2012-05-23 | 常州锐驰电子科技有限公司 | Face identification data management system |
| CN103809536A (en) * | 2012-11-09 | 2014-05-21 | 无锡美新物联网科技有限公司 | Intelligent guest room management system |
| CN107316254A (en) * | 2017-08-01 | 2017-11-03 | 深圳市益廷科技有限公司 | A kind of hotel service method |
| CN107424085A (en) * | 2017-08-01 | 2017-12-01 | 深圳市益廷科技有限公司 | A kind of hotel service system |
| CN109917662A (en) * | 2019-03-22 | 2019-06-21 | 深圳市沃特沃德股份有限公司 | Control method, device, computer equipment and the storage medium of smart machine |
| CN112025724A (en) * | 2020-08-21 | 2020-12-04 | 北京云迹科技有限公司 | Full-automatic check-in system and method based on robot memory function |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113325723A (en) * | 2021-04-27 | 2021-08-31 | 深圳市壹厘米科技有限公司 | Personalized intelligent scene generation control method, device, equipment and storage medium |
| CN113825027A (en) * | 2021-09-28 | 2021-12-21 | 深圳市视壮科技有限公司 | DTV-to-IPTV local area network playing method, system, device and storage medium |
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