CN112565433A - Promotion effect monitoring system and monitoring method - Google Patents
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- CN112565433A CN112565433A CN202011428490.7A CN202011428490A CN112565433A CN 112565433 A CN112565433 A CN 112565433A CN 202011428490 A CN202011428490 A CN 202011428490A CN 112565433 A CN112565433 A CN 112565433A
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- 230000000694 effects Effects 0.000 title claims abstract description 42
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- 230000001737 promoting effect Effects 0.000 claims 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
Abstract
The invention discloses a popularization effect monitoring system and a monitoring method. The user layer is used for supporting the monitoring task information input by the user, forwarding the monitoring task information input by the user to the middle layer and receiving a monitoring task result; the middle layer is used for receiving the monitoring task information, calling a network agent to execute task operation according to the regional information in the monitoring task information, capturing task return information, generating a monitoring task result and outputting the monitoring task result; and the cloud layer is used for responding to the task operation executed by the network agent, generating and issuing task return information. The invention realizes the real-time monitoring of the network popularization effect in a systematized and standardized way, so that the client can visually see the network popularization effect, and the supplier can accurately know the possible problems in the network service process, thereby providing convenience for both parties of the project.
Description
Technical Field
The invention discloses a popularization effect monitoring system aiming at network popularization and a corresponding monitoring method thereof, belonging to the technical field of internet service.
Background
In recent years, with the wide popularization of intelligent terminals such as computers, mobile phones and the like and the continuous development of data communication technology, the internet gradually becomes an indispensable part of daily life of people, and corresponding opportunities and conditions are provided for the rapid development of a large number of internet enterprises and even a part of entity enterprises. In addition, with the continuous development of the related industries such as network service and online shopping, the projects that people can obtain on the internet are increasing day by day, so that how to make the related services and products of the enterprise stand out from numerous network information and be more easily discovered by target customers becomes a problem commonly faced by all enterprises at present.
In view of the above problems, the network promotion project for services and products has been gradually paid attention by enterprises in recent years, and with the advent of shopping recommendation applications such as small red books and what is worth buying, the network promotion effect is further amplified. The network promotion project is understood from a narrow sense, namely activities such as propaganda and promotion and the like are carried out through various means based on the internet so as to achieve an effect of improving brand awareness, and the network promotion aims at increasing self exposure and maintaining brands as in the conventional advertisement; it is to be understood in a broad sense that web-based promotion can also be equated with web-based marketing.
However, in the current practical operation process, the complexity and the regionality of the network environment are limited, and no matter the network popularization client or the network popularization supplier, the real-time monitoring of the network popularization effect is difficult to realize. The effect of network popularization cannot be shown in real time to the client, and the effect of network popularization cannot be proved, so that the problem that enterprises of network popularization project suppliers are troubled at the present stage is solved.
In summary, if an effect monitoring system for network popularization and a corresponding monitoring method thereof can be designed on the basis of the prior art, great help can be provided for the development of related enterprises and even the whole internet industry.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention provides a system and a method for monitoring a popularization effect for network popularization, and the specific scheme is as follows.
A popularization effect monitoring system, which consists of a user layer, an intermediate layer and a cloud end layer,
the user layer is used for supporting monitoring task information input by a user, forwarding the monitoring task information input by the user to the middle layer, and receiving a monitoring task result issued by the middle layer;
the middle layer is respectively connected with the user layer and the cloud end layer in an interconnecting mode and is used for receiving the monitoring task information from the user layer, calling a corresponding network agent to execute task operation according to area information in the monitoring task information, capturing task return information from the cloud end layer, generating a monitoring task result according to the task return information and outputting the monitoring task result;
and the cloud end layer is used for responding to the task operation executed by the network agent in the middle layer, generating task return information and issuing the task return information to the middle layer.
Preferably, the user layer comprises a plurality of intelligent terminal devices; the intelligent terminal device comprises a mobile phone, a personal computer and a tablet computer.
Preferably, the user layer includes:
the user identity recognition module is used for recording and recognizing the user identity, responding to the user operation if the user identity recognition result is consistent with the recorded user identity, and not responding to the user operation and reminding the user to register if the user identity recognition result is not consistent with the recorded user identity;
the monitoring task input module is used for recording monitoring task information input by a user and forwarding the monitoring task information to the middle layer;
and the task result output module is used for receiving the monitoring task result from the middle layer and displaying the monitoring task result to a user.
Preferably, the middle layer comprises a relay server, a plurality of network proxy devices and a plurality of regional servers; the relay server is in signal connection with the user layer, the network proxy devices are in signal connection with the relay server respectively, each area server corresponds to a network service area, and each area server is in signal connection with one network proxy device correspondingly; the relay server is a personal computer, and the network agent device is a mobile phone or a tablet computer.
Preferably, the intermediate layer comprises:
the network agent calling module is in signal connection with the monitoring task input module and is used for receiving the monitoring task information forwarded by the monitoring task input module and calling a corresponding network agent according to regional information in the monitoring task information;
the network proxy execution module is in signal connection with the network proxy calling module and is used for responding to the calling operation of the network proxy calling module, starting corresponding network proxy equipment to execute a monitoring task and sending a data request to the corresponding regional server;
the cloud data interaction module is in signal connection with the network agent execution module and is used for controlling the region server to request data from the cloud layer and receiving task return information from the cloud layer;
and the task result generation module is respectively in signal connection with the cloud data interaction module and the task result output module, and is used for copying and storing the task return information received from the cloud data interaction module, capturing a data packet from the copied task return information, generating a monitoring task result, and sending the monitoring task result to the task result output module.
Preferably, the data script in the network agent calling module is an airtest script; the network agent execution module runs an mitmproxy software; and the data script in the task result generation module is a python script, and the data package is grabbed by using the mitmdump software.
Preferably, the cloud end layer includes cloud end data platforms of network service providers in various regions, and each of the region servers is in signal connection with the cloud end data platform of the network service provider in a corresponding region.
A promotion effect monitoring method is based on the promotion effect monitoring system and comprises the following steps:
s1, the user completes the user identity authentication through the user identity identification module, and then completes the input of the monitoring task information through the monitoring task input module;
s2, the network agent calling module receives the monitoring task information, calls corresponding network agent equipment according to the area information in the monitoring task information, immediately starts and executes the monitoring task, and sends the data request to the corresponding area server;
s3, the cloud data interaction module controls the region server to request data from the cloud layer, and after finding a result meeting task requirements, the cloud layer generates task return information and sends the task return information to the cloud data interaction module;
s4, the task result generation module copies and stores the task return information, captures a data packet from the copied task return information, generates a monitoring task result through data decoding and decompiling, and displays the monitoring task result to a user through the task result output module.
Preferably, the monitoring task information includes keyword information, link information and region information; the monitoring task result comprises a regional keyword ranking, a regional link ranking and a mobile phone interface image.
The advantages of the invention are mainly embodied in the following aspects:
the popularization effect monitoring system for the network popularization realizes the real-time monitoring of the network popularization effect in a systematized and standardized mode, enables clients of network popularization projects to visually see the network popularization effect and purchase subsequent related services to achieve the expected popularization effect, enables providers of the network popularization projects to accurately know possible problems in the network service process and timely changes the services provided by the network popularization projects correspondingly, and accordingly provides convenience for both parties of the network popularization projects.
Meanwhile, the system provided by the invention also considers the difference of network environments of various regions, realizes the targeted display of network popularization effects of different regions, improves the applicability and compatibility of the system to the maximum extent, and further widens the application scene of the system.
The effect monitoring method for network popularization provided by the invention has the advantages of clear overall flow and clear operation logic, can be well matched with network popularization projects, and has strong repeatability and operation adaptability.
In addition, the invention also provides technical inspiration and reference for other technical schemes related to the network site optimization project, can be used for carrying out extension and deep research, and has high use and popularization values.
The following detailed description of the embodiments of the present invention is provided in connection with the accompanying drawings for the purpose of facilitating understanding and understanding of the technical solutions of the present invention.
Drawings
FIG. 1 is a schematic diagram of a frame structure of the system of the present invention.
Detailed Description
The invention discloses a popularization effect monitoring system aiming at network popularization and a corresponding monitoring method thereof.
A popularization effect monitoring system is shown in figure 1 and comprises a user layer, a middle layer and a cloud end layer.
The user layer is used for supporting monitoring task information input by a user, forwarding the monitoring task information input by the user to the middle layer, and receiving a monitoring task result issued by the middle layer.
In the aspect of hardware selection, the user layer comprises a plurality of intelligent terminal devices; the intelligent terminal device comprises a mobile phone, a personal computer and a tablet computer.
Further, the user layer includes:
the user identity recognition module is used for recording and recognizing the user identity, responding to the user operation if the user identity recognition result is consistent with the recorded user identity, and not responding to the user operation and reminding the user to register if the user identity recognition result is not consistent with the recorded user identity;
the monitoring task input module is used for recording monitoring task information input by a user and forwarding the monitoring task information to the middle layer;
and the task result output module is used for receiving the monitoring task result from the middle layer and displaying the monitoring task result to a user.
The middle layer is respectively connected with the user layer and the cloud end layer in an interconnecting mode and used for receiving the monitoring task information from the user layer, calling a corresponding network agent to execute task operation according to regional information in the monitoring task information, capturing task return information from the cloud end layer, and generating and outputting a monitoring task result according to the task return information.
In the aspect of hardware selection, the middle layer comprises a relay server, a plurality of network proxy devices and a plurality of regional servers; the relay server is in signal connection with the user layer, the network proxy devices are in signal connection with the relay server respectively, each area server corresponds to a network service area, and each area server is in signal connection with one network proxy device correspondingly; the relay server is a personal computer, and the network agent device is a mobile phone or a tablet computer.
Further, the intermediate layer includes:
the network agent calling module is in signal connection with the monitoring task input module and is used for receiving the monitoring task information forwarded by the monitoring task input module and calling a corresponding network agent according to regional information in the monitoring task information;
the network proxy execution module is in signal connection with the network proxy calling module and is used for responding to the calling operation of the network proxy calling module, starting corresponding network proxy equipment to execute a monitoring task and sending a data request to the corresponding regional server;
the cloud data interaction module is in signal connection with the network agent execution module and is used for controlling the region server to request data from the cloud layer and receiving task return information from the cloud layer;
and the task result generation module is respectively in signal connection with the cloud data interaction module and the task result output module, and is used for copying and storing the task return information received from the cloud data interaction module, capturing a data packet from the copied task return information, generating a monitoring task result, and sending the monitoring task result to the task result output module.
It should be further explained that, in consideration of an actual application scenario, in this embodiment, the data script in the network proxy calling module is an airtest script; the network agent execution module runs an mitmproxy software; and the data script in the task result generation module is a python script, and the data package is grabbed by using the mitmdump software. The mitmproxy and the mitmdump are software tools which are wide in application and mature in technology, and are not described in detail herein.
And the cloud end layer is used for responding to the task operation executed by the network agent in the middle layer, generating task return information and issuing the task return information to the middle layer.
In terms of hardware selection, the cloud end layer includes cloud end data platforms of network service providers (such as mobile, internet, telecommunication and the like) in various regions, and each region server is in signal connection with the cloud end data platform of the network service provider in a corresponding region.
In summary, the popularization effect monitoring system for network popularization provided by the invention realizes real-time monitoring of the network popularization effect in a systematized and standardized manner, so that customers of the network popularization project can visually see the network popularization effect and purchase subsequent related services to achieve the expected popularization effect, and suppliers of the network popularization project can accurately know possible problems in the network service process and timely change the provided services correspondingly, thereby providing convenience for both parties of the network popularization project.
Meanwhile, the system provided by the invention also considers the difference of network environments of various regions, realizes the targeted display of network popularization effects of different regions, improves the applicability and compatibility of the system to the maximum extent, and further widens the application scene of the system.
Corresponding to the system scheme, the popularization effect monitoring method is based on the popularization effect monitoring system and comprises the following steps:
s1, the user completes the user identity authentication through the user identity identification module, and then completes the input of the monitoring task information through the monitoring task input module; the monitoring task information comprises keyword information, link information and regional information.
And S2, the network agent calling module receives the monitoring task information, calls the corresponding network agent equipment according to the area information in the monitoring task information, immediately starts and executes the monitoring task, and sends the data request to the corresponding area server.
And S3, the cloud data interaction module controls the region server to request data from the cloud layer, and after finding a result meeting the task requirement, the cloud layer generates task return information and sends the task return information to the cloud data interaction module.
S4, the task result generation module copies and stores the task return information, captures a data packet from the copied task return information, generates a monitoring task result through data decoding and decompiling, and displays the monitoring task result to a user through the task result output module; the monitoring task result comprises a regional keyword ranking, a regional link ranking and a mobile phone interface image.
In summary, the effect monitoring method for network popularization provided by the invention has the advantages of clear overall flow and clear operation logic, can be well matched with network popularization projects, and has strong repeatability and operation adaptability.
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.
Finally, it should be understood that although the present description refers to embodiments, not every embodiment contains only a single technical solution, and such description is for clarity only, and those skilled in the art should integrate the description, and the technical solutions in the embodiments can be appropriately combined to form other embodiments understood by those skilled in the art.
Claims (9)
1. The utility model provides a promote effect monitoring system comprises user layer, intermediate level and cloud end layer triplex, its characterized in that:
the user layer is used for supporting monitoring task information input by a user, forwarding the monitoring task information input by the user to the middle layer, and receiving a monitoring task result issued by the middle layer;
the middle layer is respectively connected with the user layer and the cloud end layer in an interconnecting mode and is used for receiving the monitoring task information from the user layer, calling a corresponding network agent to execute task operation according to area information in the monitoring task information, capturing task return information from the cloud end layer, generating a monitoring task result according to the task return information and outputting the monitoring task result;
and the cloud end layer is used for responding to the task operation executed by the network agent in the middle layer, generating task return information and issuing the task return information to the middle layer.
2. The promotion effect monitoring system according to claim 1, wherein: the user layer comprises a plurality of intelligent terminal devices; the intelligent terminal device comprises a mobile phone, a personal computer and a tablet computer.
3. The promotion effect monitoring system according to claim 1, wherein the user layer includes:
the user identity recognition module is used for recording and recognizing the user identity, responding to the user operation if the user identity recognition result is consistent with the recorded user identity, and not responding to the user operation and reminding the user to register if the user identity recognition result is not consistent with the recorded user identity;
the monitoring task input module is used for recording monitoring task information input by a user and forwarding the monitoring task information to the middle layer;
and the task result output module is used for receiving the monitoring task result from the middle layer and displaying the monitoring task result to a user.
4. The promotion effect monitoring system according to claim 3, wherein: the middle layer comprises a relay server, a plurality of network proxy devices and a plurality of regional servers; the relay server is in signal connection with the user layer, the network proxy devices are in signal connection with the relay server respectively, each area server corresponds to a network service area, and each area server is in signal connection with one network proxy device correspondingly; the relay server is a personal computer, and the network agent device is a mobile phone or a tablet computer.
5. The promotional effect monitoring system according to claim 4 wherein said intermediate layer comprises:
the network agent calling module is in signal connection with the monitoring task input module and is used for receiving the monitoring task information forwarded by the monitoring task input module and calling a corresponding network agent according to regional information in the monitoring task information;
the network proxy execution module is in signal connection with the network proxy calling module and is used for responding to the calling operation of the network proxy calling module, starting corresponding network proxy equipment to execute a monitoring task and sending a data request to the corresponding regional server;
the cloud data interaction module is in signal connection with the network agent execution module and is used for controlling the region server to request data from the cloud layer and receiving task return information from the cloud layer;
and the task result generation module is respectively in signal connection with the cloud data interaction module and the task result output module, and is used for copying and storing the task return information received from the cloud data interaction module, capturing a data packet from the copied task return information, generating a monitoring task result, and sending the monitoring task result to the task result output module.
6. The promotion effect monitoring system according to claim 5, wherein: the data script in the network agent calling module is an airtest script; the network agent execution module runs an mitmproxy software; and the data script in the task result generation module is a python script, and the data package is grabbed by using the mitmdump software.
7. The promotion effect monitoring system according to claim 5, wherein the cloud end layer includes cloud end data platforms of network service providers in respective regions, and each of the region servers is in signal connection with the cloud end data platform of the network service provider in the corresponding region.
8. A promotion effect monitoring method based on the promotion effect monitoring system of any one of claims 1 to 7, characterized by comprising the following steps:
s1, the user completes the user identity authentication through the user identity identification module, and then completes the input of the monitoring task information through the monitoring task input module;
s2, the network agent calling module receives the monitoring task information, calls corresponding network agent equipment according to the area information in the monitoring task information, immediately starts and executes the monitoring task, and sends the data request to the corresponding area server;
s3, the cloud data interaction module controls the region server to request data from the cloud layer, and after finding a result meeting task requirements, the cloud layer generates task return information and sends the task return information to the cloud data interaction module;
s4, the task result generation module copies and stores the task return information, captures a data packet from the copied task return information, generates a monitoring task result through data decoding and decompiling, and displays the monitoring task result to a user through the task result output module.
9. The popularization effect monitoring method according to claim 8, characterized in that: the monitoring task information comprises keyword information, link information and regional information; the monitoring task result comprises a regional keyword ranking, a regional link ranking and a mobile phone interface image.
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