CN115080639B - Internet of things connection management platform operation method and system - Google Patents

Internet of things connection management platform operation method and system Download PDF

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CN115080639B
CN115080639B CN202210855695.6A CN202210855695A CN115080639B CN 115080639 B CN115080639 B CN 115080639B CN 202210855695 A CN202210855695 A CN 202210855695A CN 115080639 B CN115080639 B CN 115080639B
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card
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client
managing
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CN115080639A (en
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杨扬
董伟强
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Anhui Yikong Network Technology Co ltd
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Abstract

The invention relates to the field of Internet of things, in particular to an operation method and system for an Internet of things connection management platform, which comprises the steps of receiving data information of a card; managing card related services; processing various related services of a user card; managing the customer information; carrying out statistical analysis on card data; card bill settlement; and managing through the system. One point is accessed to realize the whole network service, the requirement of a client is met, the client is prevented from carrying out service butt joint with a plurality of provinces, and inter-province roaming settlement is avoided, so that the method is particularly suitable for industrial clients of whole network service application; the requirement of real-time autonomous management of customers is met; in addition, the business management mode of the Internet of things card is optimized, and the business requirement analysis is carried out on the Internet of things card of the client through an intelligent algorithm, so that the upgrading direction of the card is obtained.

Description

Internet of things connection management platform operation method and system
Technical Field
The invention relates to the field of Internet of things, in particular to an operation method and system of a connection management platform of the Internet of things.
Background
The Internet of things is an Internet of things covering everything in the world constructed by utilizing technologies such as RFID, wireless data communication and the like on the basis of computer Internet. In this network, items (goods) can "communicate" with each other without human intervention. The essence of the method is that the radio frequency automatic identification (RFID) technology is utilized, and the automatic identification of articles (commodities) and the interconnection and sharing of information are realized through the computer internet. For example, in a payment system in a supermarket, special workers are used for accounting the consumption of customers in the current supermarket, and the automatic accounting function of goods by a payment machine can be realized by utilizing the internet of things, so that the purchase efficiency is greatly improved. The internet of things brings great convenience to our lives, and an internet of things card platform in the prior art needs to visit a client back through a salesman and then consult the client for knowing the package requirements of the client, so that the internet of things card is upgraded. There are disadvantages, firstly, that the customer is not familiar with the service, a lot of time is wasted to introduce, and most customers are not willing to listen. And secondly, communication omission of service requirements exists, and package service cannot be better expanded to serve clients.
Disclosure of Invention
The invention aims to solve the defects in the background technology by providing an operation method and system of an internet of things connection management platform.
The technical scheme adopted by the invention is as follows:
the method for operating the Internet of things connection management platform comprises the following steps:
receiving data information of the card; managing card related services; processing various related services of a card applied by a user; managing the customer information; carrying out statistical analysis on card data; card bill settlement; and managed by the system.
As a preferred technical scheme of the invention: the management card related service comprises the following methods:
s1, classifying card data information and extracting client information of a card;
s2, counting the card service types by taking the customer information of the card as a label;
s3, taking the customer information of the card as a label, performing extended service matching on an Internet of things platform according to the corresponding card service type, and constructing a card upgrading data matrix;
and S4, constructing a card upgrading model according to the upgrading data matrix, and training the card upgrading model to obtain a card upgrading scheme.
As a preferred technical scheme of the invention: the card upgrading model is realized through a Bayesian algorithm.
The utility model provides a thing networking connection management platform operating system, includes:
a data receiving module: used for receiving the basic information data of user registration;
the card management module: the card management system is used for managing cards;
a service processing module: the system is used for processing card related business through a card optimization method;
a client management module: the system is used for managing the client;
a data statistics module: the system is used for carrying out statistical analysis on the card data;
a card settlement module: for settling the card bill;
a system management module: for managing users, enterprises and platforms through the system.
As a preferred technical scheme of the invention: the card management module includes:
card basic management module: the card management system is used for realizing basic management of the cards;
card package management module: the system is used for managing the package of the cards;
card risk management module: for managing the possible risks of the card;
a card inventory management module: for managing an inventory of cards.
As a preferred technical scheme of the invention:
the basic management of the cards comprises management of card detail information display, management of card batch operation display and addition, management of card rule engine setting, management of card unlocking records, long-period card records, machine-card separation records and management of temporary real-name cards;
the management of the package of the card comprises monitoring and managing the package;
the management of the possible risks of the card comprises high-risk session management, illegal terminal management, unreal name card management and aggregation online management;
the management of the card stock comprises card stock detail management, card storage management, card delivery management, card sales management, card marking and card stock statistics.
As a preferred technical scheme of the invention: the processed card related services comprise payment recharging, card opening application, package change, machine dismantling application, card returning application and card transfer services.
As a preferred technical scheme of the invention: the management of the client comprises newly added client management, client account adjustment management, client application test card management, client qualification certification management and contract management.
As a preferred technical scheme of the invention: the statistical analysis of the card data comprises message management, download management, traffic card operation analysis, NB card operation analysis and platform data analysis.
As a preferred technical scheme of the invention: and the step of settling the card bill comprises card balance change record, expenditure information generation and invoice application management.
As a preferred technical scheme of the invention: the management of the users, the enterprises and the platforms through the system comprises user management, enterprise management, countersigning personnel management and platform management.
Compared with the prior art, the operation method and the system of the Internet of things connection management platform have the beneficial effects that:
the method and the device optimize the business management mode of the Internet of things card, and analyze the business requirements of the Internet of things card of the client through an intelligent algorithm, thereby obtaining the upgrading direction of the card.
Drawings
FIG. 1 is a flow chart of a method of a preferred embodiment of the present invention;
fig. 2 is a system block diagram of the preferred embodiment of the present invention.
The meaning of each label in the figure is:
100. a data receiving module; 110. a card management module; 120. a service processing module;
130. a customer management module; 140. a data statistics module; 150. a card settlement module;
160. a system management module;
111. a card basic management module; 112. a card package management module;
113. a card risk management module; 114. a card inventory management module.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and the features in the embodiments may be combined with each other, and the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this embodiment, the cards are all internet of things cards.
Referring to fig. 1, a preferred embodiment of the present invention provides an operation method for an internet of things connection management platform, including:
receiving data information of the card; managing card related services; processing various related services of a card applied by a user; managing the customer information; carrying out statistical analysis on card data; card bill settlement; and managed by the system.
The management card related business comprises basic management, package management, risk management and inventory management of cards. The method specifically comprises the following steps:
s1, classifying card data information and extracting client information of a card;
s2, counting the card service types by taking the customer information of the card as a label;
s3, performing extended service matching on the Internet of things platform according to the corresponding card service type by taking the customer information of the card as a label, and constructing a card upgrading data matrix;
and S4, constructing a card upgrading model according to the upgrading data matrix, and training the card upgrading model to obtain a card upgrading scheme.
The management platform generates a client label according to the personal information of each client to manage detailed services under each client label. Meanwhile, according to package types, derivative service packages associated with each package used by a client can be matched on the Internet of things platform, a card upgrading data matrix is constructed, and n client sets are recorded as A = { A = (A) } 1 ,A 2 ,...,A n If matrix A = (u) ij ) n×n Specifically, it is
Figure GDA0003967424920000041
Wherein u is ij Indicates that the customer is for service package A i Match service package A j The degree of preference. Based on matrix A = (u) ij ) n×n Let us assume that weight vector W = (ω) 1 ,ω 2 ,...,ω m ) R Is matrix A = (u) ij ) n×n The eigenvector corresponding to the largest eigenvalue can be known according to the matrix theory>
Figure GDA0003967424920000042
Then has->
Figure GDA0003967424920000043
Wherein, λ is the initial positive factor of matrix A. Wherein, R is the number of the service types. Then, the least squares and the index are obtained
Figure GDA0003967424920000044
ω i 、ω j Respectively as a service package A i And service package A j The weight of the weight to be occupied by the weight,
Figure GDA0003967424920000045
in the embodiment, a card upgrading model is constructed by taking a bayesian algorithm as an example, firstly, gibbs sampling is utilized to learn the distribution gamma of the customer set in the service type in the customer set,
Figure GDA0003967424920000046
wherein, γ nk Probability that a customer package for customer set n belongs to service type K, and if K service types exist, gamma is given nk The average probability of belonging to k is ^>
Figure GDA0003967424920000047
Traversing the training data set A and then obtaining the weight vector obtained previously to obtain a prediction model of service upgrade,
Figure GDA0003967424920000051
wherein, W o Is an initial weight vector, x i Is the value of the ith feature, W i Is the weight vector of the ith feature>
Figure GDA0003967424920000052
The customer package representing customer set n is the dot product of the two vectors i, j.
Judging the card upgrading direction by using the derivation direction degree in the card upgrading model, wherein the derivation direction degree G =Δ -2L +2d, where d is the number of service functions to be upgraded, Δ -2L The change amount of the least squares difference indicator L in y (x-2). When the derivative index G of a certain service type is smaller, the effect obtained by upgrading the function of the Internet of things card in the direction is more excellent.
Further, in order to ensure that the card upgrading data matrix is not influenced by the business direction of the previous upgrading to cause errors, the weight phasor is optimized after each minimum difference square sum index calculation, specifically W N ={[ω i0 ][ω i0 ] R In which W N For the updated weight vector, ω 0 The final weight value in the model is updated last time.
Referring to fig. 2, a preferred embodiment of the present invention provides an operating system of an internet of things connection management platform, including:
the data receiving module 100: used for receiving the basic information data of user registration;
card management module 110: the card management system is used for managing cards;
the service processing module 120: for processing card related services;
the customer management module 130: the system is used for managing the client;
the data statistics module 140: the system is used for carrying out statistical analysis on the card data;
the card settlement module 150: for settling the card bill;
the system management module 160: for managing users, enterprises and platforms through the system.
The card management module 110 includes:
the card basic management module 111: the card management system is used for realizing basic management of the cards;
card package management module 112: the system is used for managing the package of the cards;
card risk management module 113: for managing the possible risks of the card;
card inventory management module 114: for managing an inventory of cards.
The basic management of the cards comprises management of card detail information display, management of card batch operation display and addition, management of card rule engine setting, management of card unlocking records, long-period card records, machine-card separation records and management of temporary real-name cards;
the management of the package of the card comprises monitoring and managing the package;
the management of the possible risks of the card comprises high-risk session management, illegal terminal management, unreal name card management and aggregation online management;
the management of the card stock comprises card stock detail management, card storage management, card delivery management, card sales management, card marking and card stock statistics.
The processed card related services comprise payment recharging, card opening application, package change, machine dismantling application, card returning application and card transfer services.
The management of the client comprises newly added client management, client account adjustment management, client application test card management, client qualification certification management and contract management.
The statistical analysis of the card data comprises message management, download management, traffic card operation analysis, NB card operation analysis and platform data analysis.
And the settlement of the card bill comprises card balance change record, generation of charge-out information and invoice application management.
The management of the users, the enterprises and the platforms through the system comprises user management, enterprise management, countersigning personnel management and platform management.
In this embodiment, for example, when the user logs in the platform to handle the service, the user enters the login interface after inputting the address of the connection management platform in the browser, and logs in the logo to see the system management-customized attribute, and the user will lock the logo for ten minutes after inputting the account number or the password for five times. After the user successfully logs in, the home page can show the region distribution, the total number, the notice, the operator duty ratio, the monthly fee, the monthly flow and the active rate of the user card, the life cycle of the card and the flow trend.
The data receiving module 100 is configured to receive user card information, and the card basic management module 111 records and manages basic information of a user card; the card package management module 112 monitors and manages package information of a user, and the card risk management module 113 manages possible risks of the user; the card stock management module 114 registers and marks card information of a user; when a user needs to handle related services of a card, taking package change services as an example, the card management module 110 monitors and manages package information of the card, the service processing module 120 handles the package change services for the user, package change service options needed to be processed by the user are divided into a current-level change and a next-level change, a current-level change list can display all package change information of a current-level group, when newly added, information such as a title, an original package, a target package, a card number and the like is filled, the card number list and the card number range can be mutually converted, the card number list can be edited before application is submitted, and the application can be withdrawn before a previous-level examination and approval is carried out after the application is submitted; the subordinate change list displays all subordinate package change list information, original package and target package information can be checked, change records needing to be checked can be checked, a person who has a direct check permission can directly check the change, a person who has no permission can pass through the flow Cheng Shenhe (project manager check-department manager check-check), and a person who has no permission can click to take effect immediately after the flow check is passed (default next month No. 1 takes effect).
When a client changes, such as a newly added client, the client management module 130 records, when the client is newly added, the system automatically generates a test package for the client according to the upper limit of the number of the filled test cards, the test period and the flow in the test period, and generates a default account according to the information of the filled responsible person, so that a person with direct new authority can directly add the client without process audit, and the user can successfully add the client without the authority after the process audit.
The data statistics module 140 presents the information received by the user for changing the package, and the user can view and delete the information. The card settlement module 150 settles the balance of the user card, and presents the bill particulars of the user or provides the user for applying for invoice operation.
The system management module 160 manages users logging in the wing control platform, and can reset passwords and redistribute roles for the users through screening, and also can import roles in batches, and can appoint roles and attributive groups for the users through adding or modifying and inputting user information, so that login accounts and mobile phone accounts cannot be repeated, the passwords need to be a special character combination of digital letters, and the length of the passwords is between 8 and 20.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (9)

1. An operation method of an Internet of things connection management platform is characterized by comprising the following steps: the method comprises the following steps:
receiving data information of the card; managing card related services; processing various related services of a card applied by a user; managing the customer information; carrying out statistical analysis on card data; card bill settlement; the card related business management method comprises the following card optimization methods:
s1, classifying card data information and extracting client information of a card;
s2, counting the card service types by taking the customer information of the card as a label;
s3, taking the customer information of the card as a label, performing extended service matching on the Internet of things platform according to the corresponding card service type, constructing a card upgrading data matrix, and recording n customer sets as
Figure DEST_PATH_IMAGE001
If matrix of
Figure 827994DEST_PATH_IMAGE002
Is specifically based on>
Figure DEST_PATH_IMAGE003
Wherein is present>
Figure 962303DEST_PATH_IMAGE004
Indicates that the client has served a service package>
Figure DEST_PATH_IMAGE005
Compare service package->
Figure 919895DEST_PATH_IMAGE006
Based on the matrix->
Figure 391328DEST_PATH_IMAGE002
Assume that the weight vector ≦>
Figure DEST_PATH_IMAGE007
Is a matrix>
Figure 445871DEST_PATH_IMAGE002
The eigenvector corresponding to the largest eigenvalue can be known according to the matrix theory>
Figure 282240DEST_PATH_IMAGE008
Then there is
Figure DEST_PATH_IMAGE009
Wherein is present>
Figure 727128DEST_PATH_IMAGE010
Is a matrix->
Figure DEST_PATH_IMAGE011
Is greater than the initial positive factor, wherein>
Figure 267831DEST_PATH_IMAGE012
For the number of the service types, the sum of the squares of the minimum differences is then determined>
Figure DEST_PATH_IMAGE013
,/>
Figure 317826DEST_PATH_IMAGE014
、/>
Figure DEST_PATH_IMAGE015
Respectively for the service combo>
Figure 867974DEST_PATH_IMAGE005
And service combo>
Figure 331316DEST_PATH_IMAGE006
Takes the weight to->
Figure 941289DEST_PATH_IMAGE016
S4, constructing a card upgrading model according to the upgrading data matrix, and training the card upgrading model to obtain a card upgrading direction;
the card upgrading model is realized through a Bayesian algorithm, and Gibbs sampling is utilized to learn the customer set in the customer setDistribution among traffic types
Figure DEST_PATH_IMAGE017
,/>
Figure 845791DEST_PATH_IMAGE018
Wherein is present>
Figure DEST_PATH_IMAGE019
For a customer set n a customer package belonging to a service type->
Figure 820701DEST_PATH_IMAGE020
Is based on the probability that there are K traffic types, then->
Figure 505760DEST_PATH_IMAGE019
Belongs to->
Figure 185003DEST_PATH_IMAGE020
Has an average probability of->
Figure DEST_PATH_IMAGE021
Combining a training data set>
Figure 678432DEST_PATH_IMAGE011
After traversing, the weight vector obtained previously can be used to obtain a prediction model of service upgrade,
Figure 417718DEST_PATH_IMAGE022
wherein is present>
Figure DEST_PATH_IMAGE023
Is an initial weight vector, is->
Figure 262177DEST_PATH_IMAGE024
Is the first->
Figure DEST_PATH_IMAGE025
The value of a characteristic->
Figure 948374DEST_PATH_IMAGE026
Is the first->
Figure 93047DEST_PATH_IMAGE025
A weight vector of a feature, ->
Figure DEST_PATH_IMAGE027
Indicates that the client package for client set n is ≥>
Figure 472076DEST_PATH_IMAGE028
The dot product of the two vectors, and the card upgrading direction is judged by using the derived direction degree in the card upgrading model, wherein the derived direction degree
Figure DEST_PATH_IMAGE029
Wherein is present>
Figure 803831DEST_PATH_IMAGE030
For the number of the service functions which need to be upgraded, is selected>
Figure DEST_PATH_IMAGE031
Is the sum of the least squares of the differences indicator->
Figure 231401DEST_PATH_IMAGE032
In or on>
Figure DEST_PATH_IMAGE033
Is optimized after each calculation of the sum of the least squares difference indicator, in particular is->
Figure 824057DEST_PATH_IMAGE034
Wherein is present>
Figure DEST_PATH_IMAGE035
For the updated weight vector, <' >>
Figure 249353DEST_PATH_IMAGE036
The final weight value in the model is updated last time.
2. The utility model provides a thing networking connection management platform operating system which characterized in that: the method comprises the following steps:
receive data module (100): used for receiving the basic information data of user registration;
card management module (110): the card management system is used for managing cards;
service processing module (120): for processing card related traffic by the card optimization method of claim 1;
customer management module (130): the system is used for managing the client;
data statistics module (140): the system is used for carrying out statistical analysis on the card data;
card settlement module (150): for settling the card bill;
system management module (160): for managing users, enterprises and platforms through the system.
3. The internet of things connection management platform operating system of claim 2, wherein: the card management module (110) includes:
card basic management module (111): the card management system is used for realizing basic management of the cards;
card package management module (112): the system is used for managing the package of the cards;
card risk management module (113): for managing the possible risks of the card;
card inventory management module (114): for managing an inventory of cards.
4. The internet of things connection management platform operating system of claim 3, wherein:
the basic management of the cards comprises management of card detail information display, management of card batch operation display and addition, management of card rule engine setting, management of card unlocking records, long-period card records, machine-card separation records and management of temporary real-name cards;
the step of managing the card package comprises monitoring and managing the card package;
the management of the possible risks of the card comprises high-risk area conversation card management, violation terminal card management, unrealized name card management and aggregation online management;
the management of the card stock comprises card stock detail management, card in-out management, card sales management, card marking and card stock statistics.
5. The internet of things connection management platform operating system of claim 2, wherein: the processed card related services comprise the services of payment recharging, card opening application, package change, machine dismantling application, card returning application and card transfer.
6. The internet of things connection management platform operating system of claim 2, wherein: the management of the client comprises newly added client management, client account adjustment management, client application test card management, client qualification certification management and contract management.
7. The internet of things connection management platform operating system of claim 2, wherein: the statistical analysis of the card data comprises message management, download management, traffic card operation analysis, NB card operation analysis and platform data analysis.
8. The internet of things connection management platform operating system of claim 2, wherein: and the settlement of the card bill comprises card balance change record, generation of charge-out information and invoice application management.
9. The internet of things connection management platform operating system of claim 2, wherein: the management of the users, the enterprises and the platforms through the system comprises user management, enterprise management, countersigning personnel management and platform management.
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