CN112200633A - Order management method based on 5G communication technology - Google Patents
Order management method based on 5G communication technology Download PDFInfo
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- 238000007726 management method Methods 0.000 title claims abstract description 31
- 238000004891 communication Methods 0.000 title claims abstract description 28
- 238000005516 engineering process Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 25
- 230000011664 signaling Effects 0.000 claims abstract description 25
- 230000003993 interaction Effects 0.000 claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000007619 statistical method Methods 0.000 abstract description 6
- 230000000694 effects Effects 0.000 abstract description 3
- 238000011156 evaluation Methods 0.000 description 5
- 230000008447 perception Effects 0.000 description 4
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
- H04W8/183—Processing at user equipment or user record carrier
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
- H04W8/20—Transfer of user or subscriber data
- H04W8/205—Transfer to or from user equipment or user record carrier
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
- H04W8/24—Transfer of terminal data
Abstract
The invention relates to a method for managing orders based on a 5G communication technology, which comprises the following steps: acquiring all signaling interaction messages in the current network through a 5G communication module; extracting user behavior record information carried in the signaling interaction message; analyzing according to the user service and the market condition to obtain a user characteristic label; marketing decision support is provided for order management by combining market dynamics and user characteristic labels; the method comprises the steps of acquiring user behavior record information, carrying out statistical analysis to obtain user behavior conditions and market conditions, and carrying out analysis according to user services and the market conditions to obtain user characteristic labels; marketing decision support is provided for order management by combining market dynamics and user characteristic labels; the method integrates statistical analysis, feature labels and marketing support, so that order management work can accurately explore target users and popularized business according to the user feature labels, and a better marketing effect is achieved.
Description
Technical Field
The invention relates to the technical field of evaluation, in particular to an order management method based on a 5G communication technology.
Background
With the development of the network era, the competition of the network market is increasingly intense, and under the environment that the market evolves more and more complicated, the e-commerce pays more and more attention to how to improve the satisfaction degree of the user, reduce the off-network rate and excavate the potential value and the profit growth point of the user while paying attention to the stable operation of the network.
At present, the evaluation method of the mobile communication network for customer perception mainly adopts an index evaluation method and a customer feedback method. The index evaluation method mainly selects a plurality of key network indexes from the network management system to reflect the customer perception condition. The client feedback method mainly embodies the client perception situation through the form of visiting the client. With the increase of 5G service types and other influencing factors, such as mass machine-oriented applications appearing in a 5G network, the current evaluation method cannot reflect client perception.
Disclosure of Invention
The invention aims to provide an order management method based on a 5G communication technology, which aims to solve the problem that order management work in the prior art cannot accurately find a target user through a service and can popularize the service through user discovery.
The technical purpose of the invention is realized by the following technical scheme:
a method of order management based on 5G communication technology, the method comprising the steps of:
acquiring all signaling interaction messages in the current network through a 5G communication module;
the same signaling interaction messages are connected in series, and user behavior record information carried in the signaling interaction messages is extracted;
performing correlation summary statistics on the user behavior record information to obtain the point-to-surface user behavior state from an individual user to the whole network user and obtain the market state;
analyzing according to the user service and the market condition to obtain a user characteristic label;
and marketing decision support is provided for order management by combining market dynamics and user characteristic labels.
In one embodiment, the acquiring, by the 5G communication module, all signaling interaction messages in the current network specifically includes:
and carrying out signaling acquisition on a mobile internet data service signaling interface, and storing user behavior record information flowing through the signaling interface.
In one embodiment, the associating, summarizing and counting the user behavior record information to obtain the point-to-surface user behavior from an individual user to an overall network user specifically includes:
flow perspective, service perspective and terminal perspective in a specified range are recorded according to user behavior so as to obtain market conditions;
the flow perspective is based on the flow generated by the service session of the user, and perspective analysis is carried out from the comparison of the flow of different dimensions such as areas, network elements, APNs, users and the like and the distribution of the number of users;
the service perspective is based on the service session of the user, the flow service composition perspective is carried out, and the service perspective carries out perspective analysis aiming at the comparison of the service flow and the user number ratio of different time periods of the current network and the comparison of different dimensional flow and the user number of specific services;
the terminal perspective is based on user conversation, combines the terminal use condition of the user, and perspectives the terminal use condition in the existing network from the angles of brand, model, system, operating system and the like.
In one embodiment, the analyzing according to the user service and the market condition to obtain the user feature tag specifically includes:
analyzing the user service and market condition of the current network, and analyzing based on the multi-dimensional perspective of the area, time, user type, service proportion and terminal proportion of the whole network flow and the internet surfing time, resident place, service preference and tendency condition of the user to form a user characteristic label.
In one embodiment, the user feature tag comprises: user base attributes, user social attributes, user hobbies and user telecommunication attributes.
In one embodiment, the user basic attribute is characterized by the user from natural data such as the position, time and the like of the user; the position label comprises an administrative division and life circle division; the time tag includes a division of the internet surfing period.
In one embodiment, the social attributes of the users are based on group attributes and life attributes of the users, dimensions such as internet browsing websites, clients, terminals, positions and traffic are combined, index thresholds meeting actual conditions are set, and a scientific and effective user group classification framework is formed.
In one embodiment, the user interest and hobbies are defined by multi-dimensional data including service use behavior data, internet behavior data, position data and time data from the content browsed by the user on internet and the service type used by the user.
In one embodiment, the user telecommunication attribute is based on the service behavior of the user in the communication network, and the service type used by the user, the terminal, the flow and the network system information are analyzed, so that the user telecommunication label is established by the telecommunication dimension.
In one embodiment, the step of providing a marketing decision support for order management by combining market dynamics and user feature tags specifically includes:
and combining the information of the user charge, package attributes and the like, fusing marketing experience, positioning and analyzing a target marketing area and potential target customers of the mobile internet service, and judging the service suitable for popularization for different users.
The invention has the beneficial effects that: the method comprises the steps of acquiring user behavior record information, carrying out statistical analysis to obtain user behavior conditions and market conditions, and carrying out analysis according to user services and the market conditions to obtain user characteristic labels; marketing decision support is provided for order management by combining market dynamics and user characteristic labels; the method integrates statistical analysis, feature labels and marketing support, so that order management work can accurately explore target users and popularized business according to the user feature labels, and a better marketing effect is achieved.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic diagram of steps of a method for order management based on 5G communication technology.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Referring to fig. 1, a method for order management based on 5G communication technology is shown, the method includes the following steps:
100. and collecting all signaling interaction messages in the current network through a 5G communication module.
Specifically, 7 × 24 signaling collection is performed at a mobile internet data service signaling interface, and user behavior record information flowing through the signaling interface is stored and stored in a storage.
Wherein, the signaling collection of 7 × 24, namely, the signaling collection is carried out for 24 hours in 7 days; the signaling acquisition was performed with 7 × 24 as one phase.
200. And connecting the same signaling interaction messages in series, and extracting user behavior record information carried in the signaling interaction messages.
300. And performing correlation summary statistics on the user behavior record information to obtain the point-to-surface user behavior state from the individual user to the whole network user, and obtaining the market state.
Specifically, flow perspective, service perspective and terminal perspective within a range are specified for the user behavior record information to derive market conditions.
In the embodiment of the present invention, the traffic perspective is based on traffic generated by a service session of a user, and perspective analysis is performed from comparison between traffic of different dimensions such as an area, a network element, an APN, and a user and user number distribution.
In the embodiment of the invention, the service perspective is based on the service session of the user, the service composition perspective of the flow is carried out, and the service perspective carries out perspective analysis aiming at the comparison of the service flow and the user number ratio of different time periods of the current network and the comparison of the different dimension flow and the user number of the specific service.
In the embodiment of the invention, the terminal perspective is based on the user session, and combines the terminal use condition of the user to perspective the terminal use condition in the existing network from the angles of brand, model, system, operating system and the like.
400. And analyzing according to the user service and the market condition to obtain the user characteristic label.
Specifically, user services and market conditions of the existing network are analyzed, and a user characteristic label is formed based on the multi-dimensional perspective of the area, time, user type, service proportion and terminal proportion of the whole network flow and the internet surfing time, resident place, service preference and tendency condition of the user. Specifically, the user feature tag includes: user base attributes, user social attributes, user hobbies and user telecommunication attributes.
In the embodiment of the invention, the user basic attribute carries out user characteristic description from natural data such as the position, time and the like of a user; the position label comprises an administrative division and life circle division; the time tag includes a division of the internet surfing period.
Specifically, the location tag includes administrative divisions, life circle divisions, such as urban villages, scenic spots, and the like; the time labels include the division of the internet surfing time period, such as the work time, the working time and the like, and also include the division of weekday weekends and the like.
In the embodiment of the invention, the basic attribute of the user selects the attribute of ' time ' as latitude, ' IMSI ', ' flow (MB) ", ' brand ', ' model ', and the like as supplement, and the user image is depicted on the time latitude.
The international mobile subscriber identity IMSI is an identity that does not repeat in all cellular networks, used to distinguish different subscribers in the cellular networks. The handset sends the IMSI to the network in a 64-bit field. The IMSI can be used to query the home location register or visitor location register for subscriber information. In order to avoid being identified and tracked by the listener to a particular subscriber, the communication between the handset and the network will in most cases use a randomly generated temporary mobile subscriber identity instead of the IMSI.
Taking the time stamp as an example: according to the work and rest habits of the current crowd, the time labels are mainly divided into five parts, and the definition of the time labels is shown by the following table:
time of day | Label definitions |
00:00-07:00 | Night cat |
07:00-10:00/17:00-19:00 | Scattered type of working hours |
08:00-12:00/14:00-16:00 | Work/study on-line type |
12:00-14:00 | Noon break time internet access type |
19:00-00:00 | Leisure internet access type at night |
Each user generates traffic in each time period, then a time period with the maximum user traffic is screened out as a user time tag, and the following table shows an example of a user tag library:
imsi | time latitude | Flow (MB) |
4541204100XXXXX | Sporadic time pattern on and off duty | 108961.9 |
454120410XXXXX | Work/study on-line type | 1423.704 |
454120410XXXXX | Leisure type at night | 60527.78 |
454120410XXXXX | Work/study on-line type | 434275.2 |
4541205000XXXXX | Sporadic time pattern on and off duty | 165791.9 |
In the embodiment of the invention, the social attribute of the user starts from the group attribute and the life attribute of the user, the dimensions of an internet browsing website, a client, a terminal, a position, flow and the like are combined, an index threshold value meeting the actual condition is set, and a scientific and effective user group classification frame is formed; the group attribute tags include outputs such as student groups, white-collar groups, out-of-service workers, and the like.
The user social attribute tag representation is shown in the following table:
in the embodiment of the invention, the interest and hobbies of the user are defined by multi-dimensional data including service use behavior data, internet behavior data, position data and time data from the content browsed by the user on the internet and the service type used by the user.
Specifically, the user interests and hobbies comprise a plurality of segment labels, internet preferences, entertainment preferences, sports preferences, life preferences and the like; and selecting the user image which is characterized on the latitude of interest preference and takes the attributes of ' IMSI ', ' cell number ', ' cell name ', ' flow (MB) ", ' brand ' and ' model ' as supplements.
An example of the user tag library with the latitude of the user's interest is shown in the following table:
imsi | resident cell number | Interest preference | Flow (MB) |
4541204100XXXXX | 16456 | Others | 108961.9 |
4541204104XXXXX | 35493 | Browsing downloads | 1423.704 |
4541204108XXXXX | 18732 | Others | 60527.78 |
4541204109XXXXX | 16342 | Micro blog | 434275.2 |
4541205000XXXXX | 35477 | Browsing downloads | 165791.9 |
4550113150XXXXX | 18856 | Instant messaging | 65412.59 |
4600000001XXXXX | 18022 | Instant messaging | 680603.3 |
4600000001XXXXX | 18501 | Music | 837.4074 |
In the embodiment of the invention, the user telecommunication attribute starts from the service behavior of the user in the communication network, and the service type, the terminal, the flow and the network system information used by the user are analyzed, so that the user telecommunication label is established by the telecommunication dimension.
Specifically, the user telecommunication attributes are, for example, a handset application used by the user, a terminal model, a traffic size, an 4/5G network, and the like.
Examples of user telecommunication tags are shown in the following table:
500. and marketing decision support is provided for order management by combining market dynamics and user characteristic labels.
Specifically, the target marketing area and the potential target customers of the mobile internet service are located and analyzed by combining the information such as the user expense, the package attribute and the like, fusing marketing experience, and judging the service suitable for popularization for different users.
In an embodiment of the invention, the marketing experience is a combination of historical marketing experiences stored in the database and marketing experiences downloaded over the network. The marketing experience is characterized in that: 1) the flow number and the composition of the user can be analyzed; 2) hot spot networking areas can be analyzed; 3) the internet surfing habits and preferences of the user can be obtained.
The method comprises the steps of acquiring user behavior record information, carrying out statistical analysis to obtain user behavior conditions and market conditions, and carrying out analysis according to user services and the market conditions to obtain user characteristic labels; marketing decision support is provided for order management by combining market dynamics and user characteristic labels; the method integrates statistical analysis, feature labels and marketing support, so that order management work can accurately explore target users and popularized business according to the user feature labels, and a better marketing effect is achieved.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. A method for order management based on 5G communication technology is characterized in that: the method comprises the following steps:
acquiring all signaling interaction messages in the current network through a 5G communication module;
the same signaling interaction messages are connected in series, and user behavior record information carried in the signaling interaction messages is extracted;
performing correlation summary statistics on the user behavior record information to obtain the point-to-surface user behavior state from an individual user to the whole network user and obtain the market state;
analyzing according to the user service and the market condition to obtain a user characteristic label;
and marketing decision support is provided for order management by combining market dynamics and user characteristic labels.
2. The method for order management based on 5G communication technology as claimed in claim 1, wherein: the acquiring of all signaling interaction messages in the current network through the 5G communication module is specifically as follows:
and carrying out signaling acquisition on a mobile internet data service signaling interface, and storing user behavior record information flowing through the signaling interface.
3. The method for order management based on 5G communication technology as claimed in claim 1, wherein: the association and summary statistics of the user behavior record information is specifically to obtain the point-to-surface user behavior from an individual user to an overall network user as follows:
flow perspective, service perspective and terminal perspective in a specified range are recorded according to user behavior so as to obtain market conditions;
the flow perspective is based on the flow generated by the service session of the user, and perspective analysis is carried out from the comparison of the flow of different dimensions such as areas, network elements, APNs, users and the like and the distribution of the number of users;
the service perspective is based on the service session of the user, the flow service composition perspective is carried out, and the service perspective carries out perspective analysis aiming at the comparison of the service flow and the user number ratio of different time periods of the current network and the comparison of different dimensional flow and the user number of specific services;
the terminal perspective is based on user conversation, combines the terminal use condition of the user, and perspectives the terminal use condition in the existing network from the angles of brand, model, system, operating system and the like.
4. The method for order management based on 5G communication technology as claimed in claim 1, wherein: the analyzing according to the user service and the market condition to obtain the user characteristic label specifically comprises:
analyzing the user service and market condition of the current network, and analyzing based on the multi-dimensional perspective of the area, time, user type, service proportion and terminal proportion of the whole network flow and the internet surfing time, resident place, service preference and tendency condition of the user to form a user characteristic label.
5. The method of order management based on 5G communication technology as claimed in claim 4, wherein: the user feature tag includes: user base attributes, user social attributes, user hobbies and user telecommunication attributes.
6. The method of order management based on 5G communication technology as claimed in claim 5, wherein: the user basic attribute carries out user feature description from natural data such as the position, time and the like of the user; the position label comprises an administrative division and life circle division; the time tag includes a division of the internet surfing period.
7. The method of order management based on 5G communication technology as claimed in claim 5, wherein: the social attributes of the users are based on group attributes and life attributes of the users, dimensions such as internet browsing websites, clients, terminals, positions and flow are combined, index thresholds meeting actual conditions are set, and a scientific and effective user group classification framework is formed.
8. The method of order management based on 5G communication technology as claimed in claim 5, wherein: the user interest and hobbies are defined by multi-dimensional data including service use behavior data, internet access behavior data, position data and time data from the content browsed by the user on the internet and the service type used by the user.
9. The method of order management based on 5G communication technology as claimed in claim 5, wherein: and the user telecommunication attribute starts from the service behavior of the user in the communication network, analyzes the service type used by the user, the terminal, the flow and the network system information, and establishes the user telecommunication label according to the telecommunication dimension.
10. The method of order management based on 5G communication technology as claimed in claim 5, wherein: the marketing decision support provided for order management by combining market dynamics and user characteristic labels is specifically as follows:
and combining the information of the user charge, package attributes and the like, fusing marketing experience, positioning and analyzing a target marketing area and potential target customers of the mobile internet service, and judging the service suitable for popularization for different users.
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