A network perception intelligent early warning and improvement method based on big data
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A technology of network perception and big data, applied in data exchange network, digital transmission system, error prevention/detection using return channel, etc., can solve problems such as poor correlation, improve satisfaction, optimize method, and improve economic benefits Effect
Active Publication Date: 2021-08-10
西安海润通信技术有限公司
View PDF6 Cites 0 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0010] The purpose of the present invention is to provide a network perception intelligent early warning and improvement method based on big data, which solves the problem of poor correlation between existing network indicators and users' real perception
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0053] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0054] The present invention is a network perception intelligent early warning and promotion method based on big data, which is specifically implemented according to the following steps:
[0055] Step 1, classify the source data, the specific steps are as follows:
[0056] Step 1.1, extract high-value users, high-bandwidth users, complaint-prevention users, and mobile phone Internet satisfaction prediction users in the score data;
[0057] The extraction standard is: when the user's 4G traffic is greater than 2GB and the ARPU is greater than 60 yuan, it is a high-value user;
[0058] When the XDR service type is game, music, video, P2P, network disk cloud service, it is a high-bandwidth user;
[0059] When the total traffic on 2 / 3 / 4G this month is greater than 50MB and the total traffic on 2 / 3 / 4G in the previous month is greater than 100MB, a...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention discloses a network perception intelligent early warning and improvement method based on big data, specifically: first, classify the source data, and analyze the five aspects of network quality, business perception, complaint traceability, terminal adaptation, and user behavior according to the degree of influence. The user perception index sets the scoring ratio to obtain the online satisfaction score, and then the user's online data goes through seven stages of attach, pdn, tau, dns analysis, tcp three-way handshake link establishment, HTTP request / response, sp response / transmission, Find out the reasons that affect the low score of online satisfaction, and judge that it belongs to the specific process in the seven-stage process; finally, through segmentation and demarcation, cluster the problems into the wireless side, core network side, terminal side, and content side, and target Issues are dealt with accordingly. This method has comprehensive data analysis, can obtain the real perception of the user, improves the correlation between the quality of the network indicators and the real perception of the user, and improves the customer satisfaction of 4G Internet access.
Description
technical field [0001] The invention belongs to the technical field of mobile communication networks, and in particular relates to a network-aware intelligent early warning and improvement method based on big data. Background technique [0002] The three major operators have successively launched "unlimited" packages. With the slowdown in network scale growth, the mass launch of "unlimited" packages will be followed by the overwhelm of 4G networks. The user traffic has increased rapidly with an annual growth rate of 140%. It is difficult to fully guarantee the Internet experience of 4G users, and the work of 4G mobile Internet satisfaction is facing severe challenges. [0003] First, good network indicators do not mean good user satisfaction; [0004] There is no correlation between the quality of traditional network indicators and the real perception of users. According to the survey, the MR coverage rate and web browsing success rate indicators in a certain province are b...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more