CN114363843A - Call bill collection method and system - Google Patents
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Abstract
A method and system for collecting call tickets are disclosed. The call ticket collection method comprises the following steps: a service gateway deployed in a virtual network of a virtual operator forwards traffic data of the Internet of things equipment, and mirrors the traffic data to generate mirrored traffic data; the virtual network is used for connecting the Internet of things equipment and services, and the Internet of things equipment is connected with the service gateway through a Packet Data Network (PDN) gateway of a traditional operator; a flow analysis module of a virtual operator performs flow analysis on the mirror image flow data to obtain flow information of the Internet of things equipment; and a ticket generating module of the virtual operator generates a ticket of the Internet of things equipment according to the flow information of the Internet of things equipment. The technical scheme can increase the diversity of the call tickets generated by the virtual operators.
Description
Technical Field
The present disclosure relates to communications technologies, and in particular, to a method and system for acquiring call tickets.
Background
With the development of the Internet of Things (IoT), the business of virtual operators has entered a fast development period.
A Virtual Network Operator (Virtual Network Operator) refers to a new type of telecommunication Operator that relies on renting communication resources of a traditional telecommunication Operator to develop telecommunication services. The virtual operator generally has some capability or some capabilities (such as technical capability, equipment supply capability, market capability, and the like), and after renting basic communication resources, deeply processes communication services according to the advantages of the own main business, and finally provides the communication services to consumers by the own brand and the self-built customer service system. Traditional telecom operators submit part of services to virtual operators for development according to certain income distribution, thereby relieving the pressure of marketing cost under the condition of obtaining income and saving more resources to develop core services per se.
As shown in fig. 1, in the wireless connection system of the internet of things, the devices of the internet of things access the internet through the networks of access providers, and different devices of the internet of things may access different networks of the providers. Each provider (traditional operator) pushes the traffic usage of the internet of things device to a virtual operator in a form of a ticket and stores the traffic usage on Object Storage Service (OSS) devices of the virtual operator, a charging and metering system of the virtual operator obtains the ticket by scanning the OSS devices, and the traffic usage information on the ticket is extracted, so that the charging and metering of the traffic usage of the internet of things device are realized.
With the rapid development of the internet of things service, different customers have different charging and metering requirements on the flow, a virtual operator is directly based on a ticket provided by a supplier, and the ticket format is fixed and the ticket information is single, so that the different requirements of different customers on the charging and metering of the flow are difficult to meet.
Disclosure of Invention
The disclosure provides a call ticket collection method and a call ticket collection system, which can increase the diversity of call tickets generated by virtual operators.
In a first aspect, an embodiment of the present disclosure provides a method for acquiring a call ticket, including:
a service gateway deployed in a virtual network of a virtual operator forwards traffic data of the Internet of things equipment, and mirrors the traffic data to generate mirrored traffic data; the virtual network is used for connecting the Internet of things equipment and services, and the Internet of things equipment is connected with the service gateway through a Packet Data Network (PDN) gateway of a traditional operator;
a flow analysis module of a virtual operator performs flow analysis on the mirror image flow data to obtain flow information of the Internet of things equipment;
and a ticket generating module of the virtual operator generates a ticket of the Internet of things equipment according to the flow information of the Internet of things equipment.
In a second aspect, an embodiment of the present disclosure provides a call ticket collecting system, including:
the service gateway is configured to forward traffic data of the Internet of things equipment and mirror the traffic data to generate mirror image traffic data;
the flow analysis module is configured to perform flow analysis on the mirror flow data to obtain flow information of the Internet of things equipment;
the call ticket generating module is configured to generate a call ticket of the Internet of things equipment according to the flow information of the Internet of things equipment;
the service gateway is deployed in a virtual network of a virtual operator, the virtual network is used for connecting the Internet of things equipment and services, and the Internet of things equipment is connected with the service gateway through a Packet Data Network (PDN) gateway of a traditional operator.
According to the ticket collection method and system provided by the embodiment of the application, the Internet of things equipment accesses a service through a virtual network accessed by a virtual operator, a service gateway deployed in the virtual network of the virtual operator is connected with a Packet Data Network (PDN) gateway of a traditional operator, the service gateway forwards flow data of the Internet of things equipment, and the flow data is mirrored to generate mirror image flow data. And a flow analysis module of the virtual operator performs flow analysis on the mirror image flow data to obtain information in the flow data of the Internet of things equipment. And a ticket generating module of the virtual operator generates a ticket of the Internet of things equipment according to the traffic information generated by the traffic analyzing module. The method and the system for acquiring the call ticket can meet the diversified requirements of different customers on the charging and metering, thereby increasing the diversity of the call ticket.
Other aspects will be apparent upon reading and understanding the attached drawings and detailed description.
Drawings
The accompanying drawings are included to provide an understanding of the disclosed embodiments and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure.
Fig. 1 is a schematic diagram illustrating charging and metering of internet-of-things devices by a virtual operator in the related art;
fig. 2 is a flowchart of a call ticket collection method according to an embodiment of the disclosure;
fig. 3 is a schematic diagram of a system architecture of an internet of things device accessing a service through a virtual network of an operator according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a call ticket collection system according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a ticket collection system for performing charging and metering on internet of things devices according to an embodiment of the present disclosure.
Detailed Description
The present disclosure describes embodiments, but the description is illustrative rather than limiting and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the embodiments described in the present disclosure. Although many possible combinations of features are shown in the drawings and discussed in the embodiments, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or instead of any other feature or element in any other embodiment, unless expressly limited otherwise.
The present disclosure includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features and elements of the present disclosure that have been disclosed may also be combined with any conventional features or elements to form unique inventive aspects as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive aspects to form yet another unique inventive aspect, as defined by the claims. Thus, it should be understood that any features shown and/or discussed in this disclosure may be implemented alone or in any suitable combination. Accordingly, the embodiments are not limited except as by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.
Further, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other orders of steps are possible as will be understood by those of ordinary skill in the art. Therefore, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. Further, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.
Fig. 2 is a flowchart of a call ticket collection method provided in the embodiment of the present disclosure, and as shown in fig. 2, the call ticket collection method may include:
step S110, a service gateway deployed in a virtual network of a virtual operator forwards traffic data of Internet of things equipment, and mirrors the traffic data to generate mirror image traffic data; the virtual network is used for connecting the Internet of things equipment and services, and the Internet of things equipment is connected with the service gateway through a Packet Data Network (PDN) gateway of a traditional operator;
step S120, a flow analysis module of a virtual operator performs flow analysis on the mirror image flow data to obtain flow information of the Internet of things equipment;
step S130, a ticket generating module of the virtual operator generates a ticket of the Internet of things equipment according to the flow information of the Internet of things equipment.
In the above embodiment, the internet of things device accesses the service through the virtual network accessed by the virtual operator, and the service gateway deployed in the virtual network of the virtual operator directly establishes a connection with the packet data network PDN gateway of the traditional operator, so that the traffic data of the internet of things device can be obtained, and the mirror image traffic data is generated by mirroring the traffic data. The flow analysis module of the virtual operator can analyze the mirror image flow data without influencing the normal access of the Internet of things equipment to the service, and the flow analysis module can directly analyze the mirror image flow data to obtain all information in the flow data of the Internet of things equipment, so that all information bases which can be provided for various requirements of future charging and metering. Compared with the related technology in which the virtual operator can only obtain the call ticket with a fixed format and single information pushed by the traditional operator, the call ticket generating module of the virtual operator in the embodiment of the disclosure generates the call ticket of the internet of things device according to the traffic information generated by the traffic analyzing module, and the information source of the call ticket can contain all traffic information required by the virtual operator, so that the diversified demands of different customers on charging and metering can be met, and the diversity of the call ticket is increased.
In an exemplary embodiment, the internet of things device is connected with the serving gateway through a packet data network PDN gateway of a legacy operator, and includes: and the service gateway establishes a private line connection with a Packet Data Network (PDN) gateway of a traditional operator. The special line includes: an APN (Access Point Name) dedicated line, a VPN (Virtual Private Network) dedicated line, or an operator dedicated line.
The APN is a network access technology, and is a parameter that must be configured when the terminal device accesses the internet, and it determines which access method the terminal device accesses the network through. There are many types of external networks that can be accessed by a terminal device, for example: internet, WAP site, group enterprise intranet, industry intranet, etc. The range and access mode of different access points are different, and how the network side knows which network the terminal device will access after activation, and thus allocates IP of which network segment, is to be distinguished by the APN, that is, the APN determines what network the terminal device accesses through which access mode.
VPN is a technology that establishes a private network on a public network. VPNs are so-called virtual networks primarily because the connections between any two nodes throughout the VPN network do not have end-to-end physical links as required by conventional private networks, but rather are logical networks that are configured on top of a network platform provided by a public network service provider, with user data being transported in the logical links.
The APN private line and the VPN private line utilize a Tunneling Protocol (Tunneling Protocol) to achieve private message security effects such as confidentiality, sender authentication, message accuracy and the like, and the technology can send reliable and safe messages by using an unsafe network (such as the Internet). The tunnel protocol adopted by the APN special line and the VPN special line comprises the following steps: generic Routing Encapsulation (GRE) Protocol, L2TP (Layer Two Tunneling Protocol), and the like. The VPN private line, the 'private' is mainly embodied in the private of the IP, and after the VPN is connected, the obtained outlet IP is unique.
The operator private line is a physical private line (physical private channel). The physical dedicated channel is a dedicated line laid between an operator and a user, the line is only used by the user independently, other data cannot enter the line, and a general line (a non-dedicated line) can allow multiple users to share the channel.
In an exemplary embodiment, a service includes: a network service. Web services refer to service-oriented, distributed program-based software modules that run on a network. The network service adopts the universal standards of the internet such as HTTP (HyperText Transfer Protocol) and XML (Extensible Markup Language), so that people can access data on WEB (World Wide WEB) through different terminal devices in different places, such as online ticket booking and checking the booking situation.
In one exemplary embodiment, the virtual network includes: a serving gateway and a router; or a service gateway, a router, and a NAT (Network Address Translation) device. For example, the virtual network of the virtual operator may be UIS (Unified Information System, extreme internet service) network of the airy cloud. The UIS Network is a Network that helps content reach users, and by means of an SDN (Software Defined Network)/NFV (Network Function Virtualization) architecture and an SDK (Software Development Kit), automatic selection of a high-quality Network channel in a global scope can be achieved, Network problems such as delay, jitter, packet loss and the like can be reduced, and internet service experience is greatly improved. The UIS covers the global internet infrastructure of virtual operators, realizes intelligent routing based on SDN, and provides rich access connection capability, such as GRE, SSL (Secure Sockets Layer) and the like.
As shown in fig. 3, the internet of things device is connected to the virtual network of the virtual operator through a dedicated line, that is, the PDN gateway of the traditional operator establishes a dedicated line connection with the service gateway deployed in the virtual network of the virtual operator. Data packets (traffic data) requested by the internet of things device from a service (such as a server on a Network) reach the service gateway through the PDN gateway, and the service gateway forwards the data packets to a router (which may integrate a NAT (Network Address Translation) function), so that the data packets finally reach the service on the Network (such as the server on the Network). Data packets returned by a service (such as a server on the network) to the internet of things device are also forwarded to the service gateway through a router (which may integrate the NAT function) in the virtual network, and the service gateway forwards the data packets to the PDN gateway and then forwards the data packets to the internet of things device through the PDN gateway. The service gateway forwards the flow data of the Internet of things equipment and mirrors the flow data to generate mirror image flow data. And the flow analysis module performs flow analysis on the mirror image flow data to obtain flow information of the Internet of things equipment. And a ticket generating module deployed in a virtual network of a virtual operator generates a ticket of the Internet of things equipment according to the flow information of the Internet of things equipment.
In an exemplary embodiment, the mirroring traffic data comprises: source IP address, destination IP address, source port, destination port, protocol type, and data. The data carries content information.
In an exemplary embodiment, a traffic analysis module of a virtual operator performs traffic analysis on the mirror traffic data to obtain traffic information of the internet of things device, including:
and a flow analysis module of the virtual operator performs Deep Packet Inspection (DPI) on the mirror image flow data to obtain flow information of the Internet of things equipment.
The DPI (Deep Packet Inspection) technology is to add application protocol identification to application layer data, and Packet content Inspection and Deep decoding on top of the traditional IP Packet Inspection technology. That is, the data link layer frame and the upper layer packet are generally composed of two major parts: a header and data. The header is typically of a fixed size and structure, depending on the protocol. Data is information to be transmitted from a source address to a destination address, and is typically variable in size. Traditional IP packet inspection is based on header evaluation and study, and considers that the data part is not touch-sensitive, and only analyzes the content below the IP packet layer 4 (including source address, destination address, source port, destination port, and protocol type). Whereas DPI evaluates the entire packet, including the portion corresponding to the data. The DPI can master the data content carried in the network through identifying the flow and analyze the network behavior of the user; the speed limit, control and other processing can be carried out on the network flow according to the link state and the functional requirements; the header information of each layer added in the packaging process of the data packet can be analyzed and extracted through a feature matching technology, and then the header information is matched with the feature information in the existing rule base, so that the flow is identified. Therefore, the flow analysis module deployed in the virtual network of the virtual operator carries out deep packet inspection on the mirror image flow data, internet surfing information of the Internet of things equipment can be comprehensively obtained, the virtual operator can conveniently know flow use characteristics of the Internet of things equipment, and accordingly a ticket meeting customer requirements is customized for an Internet of things customer.
In an exemplary embodiment, the traffic information of the internet of things device includes any one of the following information: identification of the Internet of things equipment and distribution information of uplink flow; identification of the Internet of things equipment and distribution information of downlink traffic; the identification of the internet of things equipment, the distribution information of the uplink flow and the distribution information of the downlink flow.
The distribution information of the upstream traffic may include: the method comprises the steps that time information and flow value information of uplink flow when the Internet of things equipment accesses one or more services in a plurality of preset time periods. The distribution information of the downlink traffic may include: the time information and the flow value information of the downlink flow when the equipment of the Internet of things accesses one or more services in a plurality of preset time intervals.
In an exemplary embodiment, the preset time period may include: a period of time in minutes, or a period of time in hours or a period of time in days. The unit of the preset time period can be set according to actual needs and is not limited to minutes, hours or days.
For example, the internet of things device accesses two services (service 1 and service 2) in a certain time period, and the time information and the traffic value information of the uplink traffic when the internet of things device accesses each service in the time period refer to: the Internet of things equipment uploads the start-stop time and the flow value of information to the website A (service 1), and the Internet of things equipment uploads the start-stop time and the flow value of information to the website B (service 2). The time information and the flow value information of the downlink flow when the internet of things device accesses each service in the time period refer to: the Internet of things equipment downloads the start-stop time and the flow value of the information from the website A (service 1), and the Internet of things equipment downloads the start-stop time and the flow value of the information from the website B (service 2).
The identification of the internet of things device may include: an IMEI (International Mobile Equipment Identity) and/or an ICCID (integrated circuit card Identity) of the internet of things device. The IMEI is an "electronic serial number" consisting of 15 digits, which corresponds to each mobile device, and this number is recorded by the manufacturer from production to delivery, and is unique worldwide. The ICCID has a total of 20 digits, different carrier code formats, and the first six digits are the carrier code. For example, the Chinese Mobile is 898600; the China Unicom is 898601, and the China telecom is 898603. The IMEI and the Internet of things equipment have a binding relation, and the ICCID and an Internet of things network card for surfing the Internet of things equipment have a binding relation.
In an exemplary embodiment, a ticket generating module of a virtual operator generates a ticket of the internet of things device according to traffic information of the internet of things device, including:
the call ticket generating module of the virtual operator acquires flow information of the Internet of things equipment from the flow analyzing module, acquires a call ticket template corresponding to the Internet of things equipment according to identification information of the Internet of things equipment carried in the flow information, and generates a call ticket of the Internet of things equipment by summarizing and counting the flow information of the Internet of things equipment according to the acquired call ticket template.
The call ticket generating module can preset the corresponding relation between each Internet of things equipment identifier and the call ticket template. The call ticket template can be preset according to the traffic characteristics of the Internet of things equipment and the customer requirements. The customization of the call ticket can be realized by matching different call ticket templates for different Internet of things devices.
For example, it is assumed that the internet of things device 1 is an electronic billboard on the roadside, and the internet of things device 2 is an electronic bus station in a city. In the related art, it is assumed that the electronic billboard and the electronic bus stop are both provided with internet of things network cards of an operator a, and then the ticket contents of all internet of things devices pushed to the virtual operator by the operator a may be uniform, such as daily traffic and monthly traffic of only each internet of things device. However, in practice, the traffic usage characteristics of the electronic billboard and the traffic usage characteristics of the electronic bus stop are different. After the ticket collection method is adopted, the virtual operator can directly obtain the traffic data packet of the Internet of things equipment through the service gateway and perform data analysis on the traffic data packet, so that diversified tickets can be generated, and the difference charging requirements of clients of the Internet of things are met. For example, the internet traffic of the electronic billboard has a sudden characteristic (advertisement content is updated once a week or half a month), so that the electronic billboard can be charged according to the number of times, and the monthly bill can include the traffic value of each internet access in the month. The internet traffic of the electronic bus station has the characteristic of uniform distribution in the daytime, so that monthly charging can be carried out, and the monthly bill can include the total traffic value in the current month.
Fig. 4 is a schematic structural diagram of a call ticket collection system provided in the embodiment of the present disclosure, and as shown in fig. 4, the call ticket collection system may include:
the service gateway 10 is configured to forward traffic data of the internet of things device, and mirror the traffic data to generate mirror image traffic data;
a traffic analysis module 20 configured to perform traffic analysis on the mirror traffic data to obtain traffic information of the internet of things device;
a ticket generating module 30 configured to generate a ticket of the internet of things device according to the traffic information of the internet of things device;
the service gateway 10 is deployed in a virtual network of a virtual operator, where the virtual network is used to connect the internet of things device and the service, and the internet of things device is connected with the service gateway through a packet data network PDN gateway of a traditional operator.
In the above embodiment, the internet of things device accesses the service through the virtual network accessed by the virtual operator, and the service gateway deployed in the virtual network of the virtual operator directly establishes connection with the packet data network PDN gateway of the traditional operator, so that the traffic data of the internet of things device can be obtained, and the mirror image traffic data is generated by mirroring the traffic data. The flow analysis module of the virtual operator can analyze the mirror image flow data without influencing the normal access of the Internet of things equipment to the service, and the flow analysis module can directly analyze the mirror image flow data to obtain all information in the flow data of the Internet of things equipment, so that all information bases which can be provided for various requirements of future charging and metering. The ticket generating module of the virtual operator generates the ticket of the internet of things device according to the flow information generated by the flow analyzing module, and the information source of the ticket can contain all the flow information required by the virtual operator, so that the diversified demands of different customers on charging and metering can be met, and the diversity of the ticket is increased.
In an exemplary embodiment, the internet of things device is connected with the serving gateway through a packet data network PDN gateway of a legacy operator, and includes: and the service gateway establishes a private line connection with a Packet Data Network (PDN) gateway of a traditional operator. The special line includes: an APN private line, a VPN private line or an operator private line.
In an exemplary embodiment, a service includes: a network service.
In one exemplary embodiment, the virtual network includes: a serving gateway and a router; or serving gateway, router and NAT devices.
In an exemplary embodiment, the mirroring traffic data comprises: source IP address, destination IP address, source port, destination port, protocol type, and data. The data carries content information.
In an exemplary embodiment, the traffic analysis module is configured to perform traffic analysis on the mirror traffic data to obtain traffic information of the internet of things device in the following manner: and carrying out Deep Packet Inspection (DPI) on the mirror image flow data to obtain the flow information of the Internet of things equipment.
In an exemplary embodiment, the traffic information of the internet of things device includes any one of the following information: identification of the Internet of things equipment and distribution information of uplink flow; identification of the Internet of things equipment and distribution information of downlink traffic; the identification of the internet of things equipment, the distribution information of the uplink flow and the distribution information of the downlink flow.
In an exemplary embodiment, the distribution information of the upstream traffic may include: the method comprises the steps that time information and flow value information of uplink flow when the Internet of things equipment accesses one or more services in a plurality of preset time periods. The distribution information of the downlink traffic may include: the time information and the flow value information of the downlink flow when the equipment of the Internet of things accesses one or more services in a plurality of preset time intervals.
In an exemplary embodiment, the ticket generating module is configured to generate a ticket of the internet of things device according to the traffic information of the internet of things device in the following manner: the call ticket generating module of the virtual operator acquires flow information of the Internet of things equipment from the flow analyzing module, acquires a call ticket template corresponding to the Internet of things equipment according to identification information of the Internet of things equipment carried in the flow information, and generates a call ticket of the Internet of things equipment by summarizing and counting the flow information of the Internet of things equipment according to the acquired call ticket template.
The call ticket generating module can preset the corresponding relation between each Internet of things equipment identifier and the call ticket template. The call ticket template can be preset according to the traffic characteristics of the Internet of things equipment and the customer requirements. The customization of the call ticket can be realized by matching different call ticket templates for different Internet of things devices.
Fig. 5 is a schematic structural diagram of a ticket collection system for performing charging and metering on an internet of things device according to an embodiment of the present disclosure, and as shown in fig. 5, the ticket collection system may include: the system comprises the Internet of things equipment, a PDN (Packet Data Network) gateway of a traditional operator, a virtual Network of a virtual operator, a flow analysis module, a ticket generation module and a charging measurement system. The virtual network of the virtual operator comprises a service gateway and a router, and the router can integrate NAT function. Virtual networks are used to connect internet of things devices and services (such as services in the internet).
A dedicated line is established as infrastructure between the PDN gateway of the legacy operator and the serving gateway of the virtual operator. The Internet of things equipment is accessed to a virtual network of a virtual operator through the private line. The PDN gateway of the operator is implemented according to the 3GPP (3rd Generation Partnership Project) specification, and when a new operator is accessed, only a network dedicated line needs to be pulled through, and the traffic of the terminal device acquired by the service gateway of the virtual network has a uniform format, which facilitates DPI processing by the traffic analysis module. The Internet of things equipment is accessed to the virtual network by using a private line, so that the problems of unstable network, large network delay and the like can be avoided, and the network safety is also guaranteed extremely high.
The service gateway forwards the flow data of the Internet of things equipment and mirrors the flow data to generate mirror image flow data. The flow analysis module analyzes the mirror image flow data to obtain all information in the flow data of the internet of things device, and all information basis which can be provided for various requirements of future charging and metering. The ticket generating module generates the ticket of the internet of things device according to the traffic information generated by the traffic analyzing module, and the information source of the ticket can contain all traffic information required by the virtual operator, so that the diversified demands of different customers on charging and metering can be met, and the diversity of the ticket is increased. And the charging measurement system carries out charging measurement according to the information on the ticket of the Internet of things equipment. Because the virtual operator can obtain the flow data of the Internet of things equipment from the service gateway and analyze the data, the flexibility of charging and metering is improved, and the diversified charging and metering requirements of clients of different Internet of things equipment can be met.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
It should be noted that there are many other embodiments of the present application and those skilled in the art can make various changes and modifications according to the present application without departing from the spirit and scope of the present application, and those changes and modifications should fall within the scope of the appended claims.
Claims (15)
1. A call ticket collection method comprises the following steps:
a service gateway deployed in a virtual network of a virtual operator forwards traffic data of the Internet of things equipment, and mirrors the traffic data to generate mirrored traffic data; the virtual network is used for connecting the Internet of things equipment and services, and the Internet of things equipment is connected with the service gateway through a Packet Data Network (PDN) gateway of a traditional operator;
a flow analysis module of a virtual operator performs flow analysis on the mirror image flow data to obtain flow information of the Internet of things equipment;
and a ticket generating module of the virtual operator generates a ticket of the Internet of things equipment according to the flow information of the Internet of things equipment.
2. The method of claim 1, wherein:
the internet of things equipment is connected with the service gateway through a Packet Data Network (PDN) gateway of a traditional operator, and comprises the following components: and the service gateway establishes a private line connection with a Packet Data Network (PDN) gateway of a traditional operator.
3. The method of claim 1, wherein:
the service comprises the following steps: a network service.
4. The method of claim 1, wherein:
the virtual network includes: a serving gateway and a router; or serving gateways, routers and network address translation NAT devices.
5. The method of claim 1, wherein:
the mirrored traffic data includes: source IP address, destination IP address, source port, destination port, protocol type, and data.
6. The method of claim 1, wherein:
the flow information of the internet of things equipment comprises any one of the following information: identification of the Internet of things equipment and distribution information of uplink flow; identification of the Internet of things equipment and distribution information of downlink traffic; the identification of the internet of things equipment, the distribution information of the uplink flow and the distribution information of the downlink flow.
7. The method of claim 1, wherein:
the distribution information of the uplink traffic includes: the method comprises the steps that time information and flow value information of uplink flow when the Internet of things equipment accesses one or more services in a plurality of preset time periods;
the distribution information of the downlink traffic includes: the time information and the flow value information of the downlink flow when the equipment of the Internet of things accesses one or more services in a plurality of preset time intervals.
8. The method of claim 1, wherein:
the flow analysis module of the virtual operator performs flow analysis on the mirror image flow data to obtain flow information of the internet of things equipment, and the flow analysis module comprises:
and a flow analysis module of the virtual operator performs Deep Packet Inspection (DPI) on the mirror image flow data to obtain flow information of the Internet of things equipment.
9. The method of claim 1, wherein:
the ticket generating module of the virtual operator generates the ticket of the internet of things equipment according to the flow information of the internet of things equipment, and the ticket generating module comprises:
the call ticket generating module of the virtual operator acquires flow information of the Internet of things equipment from the flow analyzing module, acquires a call ticket template corresponding to the Internet of things equipment according to identification information of the Internet of things equipment carried in the flow information, and generates a call ticket of the Internet of things equipment by summarizing and counting the flow information of the Internet of things equipment according to the acquired call ticket template.
10. A ticket collection system, comprising:
the service gateway is configured to forward traffic data of the Internet of things equipment and mirror the traffic data to generate mirror image traffic data;
the flow analysis module is configured to perform flow analysis on the mirror flow data to obtain flow information of the Internet of things equipment;
the call ticket generating module is configured to generate a call ticket of the Internet of things equipment according to the flow information of the Internet of things equipment;
the service gateway is deployed in a virtual network of a virtual operator, the virtual network is used for connecting the Internet of things equipment and services, and the Internet of things equipment is connected with the service gateway through a Packet Data Network (PDN) gateway of a traditional operator.
11. The system of claim 10, wherein:
the virtual network includes: a serving gateway and a router; or serving gateway, router and NAT devices.
12. The system of claim 10, wherein:
the mirrored traffic data includes: source IP address, destination IP address, source port, destination port, protocol type, and data.
13. The system of claim 10, wherein:
the flow information of the internet of things equipment comprises any one of the following information: identification of the Internet of things equipment and distribution information of uplink flow; identification of the Internet of things equipment and distribution information of downlink traffic; the identification of the internet of things equipment, the distribution information of the uplink flow and the distribution information of the downlink flow.
14. The system of claim 10, wherein:
the flow analysis module is configured to perform flow analysis on the mirror flow data in the following manner to obtain flow information of the internet of things device: and carrying out Deep Packet Inspection (DPI) on the mirror image flow data to obtain the flow information of the Internet of things equipment.
15. The system of claim 10, wherein:
a ticket generating module configured to generate a ticket of the internet of things device according to the traffic information of the internet of things device in the following manner: the call ticket generating module of the virtual operator acquires flow information of the Internet of things equipment from the flow analyzing module, acquires a call ticket template corresponding to the Internet of things equipment according to identification information of the Internet of things equipment carried in the flow information, and generates a call ticket of the Internet of things equipment by summarizing and counting the flow information of the Internet of things equipment according to the acquired call ticket template.
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| CN202011092030.1A CN114363843A (en) | 2020-10-13 | 2020-10-13 | Call bill collection method and system |
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| CN202011092030.1A CN114363843A (en) | 2020-10-13 | 2020-10-13 | Call bill collection method and system |
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