CN114641027B - Multi-user accurate experience active sensing system and method for wireless office network - Google Patents
Multi-user accurate experience active sensing system and method for wireless office network Download PDFInfo
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- CN114641027B CN114641027B CN202210277097.5A CN202210277097A CN114641027B CN 114641027 B CN114641027 B CN 114641027B CN 202210277097 A CN202210277097 A CN 202210277097A CN 114641027 B CN114641027 B CN 114641027B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/08—Testing, supervising or monitoring using real traffic
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a wireless office network multi-user accurate experience active sensing system and a method, wherein the system comprises the following steps: the crawler module stores crawler scripts written by Python sentences; the acquisition module comprises access equipment which is respectively arranged at each acquisition point; the monitoring module is used for receiving and analyzing the information acquired by the acquisition module; the alarm module alarms according to the analysis data of the monitoring module; the maintenance module is used for supervising and regularly maintaining the health state of each module; the method comprises the following steps: the acquisition module calls the crawler script through a preset instruction to acquire the IP address and the environmental index of the access equipment; the monitoring module tests the communication accessibility of the acquisition node through the IP address, analyzes and judges the influence of the environmental index on the communication accessibility of the acquisition node; and the alarm module alarms after abnormal indexes appear on the acquisition nodes. According to the invention, the environment monitoring index is introduced as the judgment coefficient, the index affecting the network quality is perfected, and the accuracy of network monitoring is improved.
Description
Technical Field
The invention relates to the technical field of network quality monitoring, in particular to a wireless office network multi-user accurate experience active sensing system and method.
Background
At present, with the development of network information technology, daily life and work are closely related to a network, and real-time knowledge and grasp of network quality are required. At present, most of production networks of companies have the characteristics of crossing regions and crossing various different physical environments, in different environments, factors such as wifi quality change, wireless interference, online change and the like which cause uncontrollable network quality exist, but the existing network quality monitoring mode is single, only single-thread network environment monitoring can be performed, when the monitoring content requirement is complex, the requirement of comprehensively monitoring the network quality cannot be met, and the real-time monitoring of the network quality cannot be guaranteed.
Disclosure of Invention
The invention aims to provide a wireless office network multi-user accurate experience active sensing system which is used for solving the monitoring problem of a complex office network environment.
In order to achieve the aim of the invention, the invention adopts the following technical scheme: a wireless office network multi-user accurate experience active sensing system comprises: the crawler module stores crawler scripts written by Python sentences; the acquisition module is used for acquiring the IP addresses of the access devices respectively arranged at the acquisition points and the environmental indexes of the acquisition points by calling the crawler module; the monitoring module is used for receiving and analyzing the information acquired by the acquisition module; the alarm module alarms according to the analysis data of the monitoring module; and the maintenance module is used for supervising and regularly maintaining the health state of each module.
The invention also provides a wireless office network multi-user accurate experience active sensing method, which comprises the following steps: the acquisition module invokes the crawler script through a preset instruction to acquire the IP address of the access equipment and the environmental index of the acquisition point; the monitoring module tests and collects the communication accessibility of the nodes through the IP address, analyzes and judges the influence of the environmental index on the communication accessibility of the access equipment; and the alarm module alarms after the access equipment has abnormal indexes.
Compared with the prior art, the invention has the advantages that: the new network quality monitoring method is provided, environmental indexes are introduced as judgment coefficients, the previous single-thread monitoring is changed into multi-dimensional monitoring, the indexes affecting the network quality are perfected, and the monitoring accuracy is improved; the web crawler technology is introduced, so that the collection work of real-time data is solved, and the effectiveness and usability of the index are ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or related technical descriptions, and it is obvious that the drawings in the following description relate only to some embodiments of the present invention and are not limiting to the present invention.
FIG. 1 is a schematic diagram of a monitoring system of the present invention.
Fig. 2 is a diagram of the monitoring method steps of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular and non-limiting detailed description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 1, the embodiment provides a wireless office network multi-user accurate experience active sensing system, which comprises the following modules:
and the crawler module 1 stores a web crawler script written by a python sentence, so that a dispatcher can conveniently implement dispatching work according to requirements.
And the acquisition module 2 is provided with access equipment such as a wireless controller, a wired controller and the like in environments such as different office sites, storehouses and the like, and is used for acquiring physical data such as temperature, humidity, wifi quality, real-time online ip and the like on the wireless controller and the wired controller webURL in each place in real time, compiling the physical data into a unified format, and storing the unified format in a database for searching.
The monitoring module 3 comprises a PING module and an environmental index analysis module. And the PING module monitors the collected real-time ip by unified PING threads, monitors the network service state of each actual environment, and triggers alarm pushing and pushes the collected real-time ip to the alarm module when the network service state is lower than a threshold value index or other abnormal indexes. The environment index analysis module analyzes the physical environment data acquired by the acquisition module, analyzes and judges the network environment data which are possibly affected by the temperature, the humidity, the wireless 2.5G/5G signal strength, the interference condition and the like acquired by the acquisition module through a preset threshold, and triggers the alarm pushing and pushes the network environment data to the alarm module when the network environment data are lower than the threshold index. In addition, the monitoring module can also provide a historical data curve query function, can realize unified display of indexes within 7 x 24 hours, restore historical fault time point indexes and provide fault analysis assistance.
And the alarm module 4 pushes the received alarm information to the maintainer side in the modes of telephone, mail, short message, voice and the like according to the requirements.
And the maintenance module 5 detects the crawler module, the acquisition module and the monitoring module in real time or at regular time through preset requirements, analyzes the health degree, feeds back a result to the scheduler if a process abnormality occurs, and resends the instruction by the scheduler.
As shown in fig. 2, a wireless office network multi-user accurate experience active sensing method includes the following steps:
1. the dispatcher sends an acquisition instruction to the acquisition module through the requirement preset by an administrator, and the acquisition module sends a request for calling the crawler script to the dispatcher according to the acquisition instruction.
2. The dispatcher sends a dispatching instruction to the crawler module according to the request of the acquisition module, the crawler module responds according to the request of the dispatcher and returns the result to the dispatcher, and the dispatcher synchronizes the result returned by the crawler module to the acquisition module and tells the acquisition module to finish dispatching application.
3. The acquisition module starts a request for scheduling the crawler script according to a preset demand time and starts the corresponding crawler script according to the request, the simulation browser sends a request to acquire network management page codes of access equipment such as a wireless/wired controller and the like, semantic analysis is carried out on data of a WEB page, keywords required by matching are mapped to data entities preset by the acquisition module, the acquisition module carries out unified data format conversion on the received data entities and triggers a storage mechanism, and the data entities are stored in a database.
4. The monitoring module starts the data of the database to be subjected to the extraction analysis, the PING module is used for carrying out PING test on the collected real-time online ip, the output delay (ms) and the error rate (%), the environmental index analysis module is used for comparing the collected environmental indexes with a preset threshold value, wherein the environmental indexes can comprise multiple types, the environmental indexes are preset according to different environmental points, the wireless strength index and the wireless interference index are only taken this time to judge whether the current indexes influence the PING result, and the threshold judgment operation formula is as follows:
environmental index influence coefficient: the influence of the external environment on the wireless network is currently defined as sudden extreme severe conditions such as external construction, severe weather and the like, so that the difference between indexes and the actual environment is overlarge, the judgment method is that no influence is 1, and the influence returns to 2. For example, the delay result of the PING test network is about 300ms, so that the delay result is "1" when the delay result is lower than 300ms, and is "2" when the delay result is higher than 300ms or when the delay result is returned to an error message, which is a standard value of 300 ms.
The environment index= "radio intensity index" or "radio interference index" or "other", judge whether the current environment causes influence to the network, if there is influence to return "1", return "0" without influence, the "other" is the index that each environmental point increases according to the actual situation; the manner of judging whether or not there is an influence is similar to the above example;
the threshold of delay= "ping delay" × ("environmental index influence coefficient" × "environmental index"), if the result is not less than 300ms, then it is judged as failed;
and the threshold of the error rate is = "ping error rate" × ("environment index influence coefficient" × "environment index"), and if the result is more than or equal to 20%, the result is judged to be unqualified.
When an abnormality occurs, an alarm is sent out, and the alarm rule is as follows: data is collected once every 5 minutes, and whether a host exceeds a preset threshold value is judged, and the same type of alarm of the same host is triggered after the same type of alarm exceeds the preset threshold value three times continuously
The alert format is exemplified by the following table:
| ① | ② | ③ | ④ | ⑤ |
| IP:192.168.171.56 | mac:4C-32-75-99-7F-4D | time:2020-11-30 09:33:26 | message:delayed | value:533.0 |
the alarm content consists of 6 parts: (1) problematic host IP; (2) a problematic host physical address; (3) alarming time; (4) alarm types (including delay, error rate, signal strength). (5) Alarm actual value: delay (ms), bit error rate (%), signal strength (dbm), respectively.
5. The monitoring module judges according to a preset threshold value, the data is pushed to the alarm module for pushing when the alarm condition is triggered, and the alarm module pushes the received alarm information to the maintainer side in a mode of calling, mail, short message, voice and the like according to the requirement.
The invention has the following advantages:
1. the new network quality monitoring method is provided, the environment monitoring index is introduced as a judgment coefficient, the previous single-thread monitoring is changed into multi-dimensional monitoring, the index affecting the network quality is perfected, and the accuracy of the network monitoring is improved.
2. The web crawler technology is introduced, so that the collection work of real-time data is solved, and the effectiveness and usability of the index are ensured.
3. The invention does not need to introduce a plurality of other system tools, only utilizes some common network devices, such as the existing devices in the office environment, such as a wireless controller, a wired controller, an environment detection device with a wifi function and the like, rapidly collects the data capable of reflecting the condition of the office environment through the web crawler technology, is incorporated into the original monitoring network, has rapid deployment, is simple to operate, has low cost and strong reusability, and is suitable for monitoring the office network environment and other various needed environments.
4. By the mode, as long as the office network is provided with the wireless controller, the wired controller and other devices, no matter how far the area is, no matter whether the area is in the same city or different from the same city, real-time data acquisition can be carried out, and the office network environment can be monitored in real time.
It should be noted that the foregoing description of the preferred embodiments is merely illustrative of the technical concept and features of the present invention, and is not intended to limit the scope of the invention, as long as the scope of the invention is defined by the claims and their equivalents. All equivalent changes or modifications made in accordance with the spirit of the present invention should be construed to be included in the scope of the present invention.
Claims (1)
1. The active sensing method for the multi-user accurate experience of the wireless office network is characterized by comprising the following steps of:
step 1, a dispatcher sends an acquisition instruction to an acquisition module through a requirement preset by an administrator, and the acquisition module sends a request for calling a crawler script to the dispatcher according to the acquisition instruction;
step 2, the dispatcher sends a dispatching instruction to the crawler module according to the request of the acquisition module, the crawler module responds according to the request of the dispatcher and returns a result to the dispatcher, and the dispatcher synchronizes the result returned by the crawler module to the acquisition module and tells the acquisition module to finish dispatching application;
step 3, the acquisition module starts a request for scheduling the crawler script according to a preset demand time and a corresponding crawler script is started according to the request, the simulation browser sends a request to acquire network management page codes of access equipment such as a wireless/wired controller and the like, semantic analysis is carried out on data of a WEB page, keywords required by matching are mapped to data entities preset by the acquisition module, the acquisition module carries out unified data format conversion on the received data entities and triggers a storage mechanism, and the data entities are stored in a database;
step 4, the monitoring module starts the data of the database to be subjected to the extraction analysis, the PING module is used for carrying out PING test on the collected real-time online ip, the output delay and the error rate are carried out, the environmental index analysis module is used for comparing the collected environmental indexes with a preset threshold value, wherein the environmental indexes can comprise multiple types, the environmental indexes are preset according to different environmental points, the wireless strength index and the wireless interference index are taken to judge whether the current indexes influence the PING result, and the threshold judgment operation formula is as follows:
environmental index influence coefficient: the influence of the external environment on the wireless network is defined as external construction and bad weather, the difference between the index and the actual environment is overlarge, the judgment method is that the influence is not 1, and the influence returns to 2;
the environment index= "radio intensity index" or "radio interference index" or "other", judge whether the current environment causes influence to the network, if there is influence to return "1", return "0" without influence, the "other" is the index that each environmental point increases according to the actual situation;
the threshold of delay= "ping delay" × ("environmental index influence coefficient" × "environmental index"), if the result is not less than 300ms, then it is judged as failed;
the threshold of the error rate is = "ping error rate" × ("environment index influence coefficient" × "environment index"), if the result is more than or equal to 20%, judging as disqualification;
when an abnormality occurs, an alarm is sent out, and the alarm rule is as follows: data are collected once every 5 minutes, and whether a host exceeds a preset threshold value is judged, and the same type of alarm of the same host is triggered when the same type of alarm exceeds the preset threshold value three times continuously;
the alarm content consists of the following parts: (1) problematic host IP; (2) a problematic host physical address; (3) alarming time; (4) alarm types, including: delay, bit error rate, signal intensity three alarm types; (5) the actual alarm values are respectively as follows: delay, bit error rate, signal strength;
and 5, judging by the monitoring module according to a preset threshold value, triggering an alarm condition, pushing data to the alarm module for pushing, and pushing the received alarm information to a maintainer side in a mode of calling, mail, short message, voice and the like according to the requirement by the alarm module.
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