CN117376955B - Intelligent monitoring method for indoor network signal quality - Google Patents
Intelligent monitoring method for indoor network signal quality Download PDFInfo
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- CN117376955B CN117376955B CN202311469316.0A CN202311469316A CN117376955B CN 117376955 B CN117376955 B CN 117376955B CN 202311469316 A CN202311469316 A CN 202311469316A CN 117376955 B CN117376955 B CN 117376955B
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Abstract
The invention provides an intelligent monitoring method for indoor network signal quality, which belongs to the technical field of network quality and specifically comprises the following steps: the access data of the router is utilized to determine the using busyness of the router in different monitoring areas, the importance evaluation values of the different monitoring areas are determined by combining the people flow busyness of the different monitoring areas, the types of the monitoring areas are divided into core areas and general areas according to the importance evaluation values, the comprehensive network connection quality of the different monitoring areas is determined by the network connection quality of the different monitoring areas and the number of the problem monitoring areas, and the network signal quality is determined by combining the importance evaluation values and the number of the different monitoring areas, so that the accuracy of indoor network signal quality monitoring is further improved.
Description
Technical Field
The invention belongs to the technical field of network quality, and particularly relates to an intelligent monitoring method for indoor network signal quality.
Background
With the rapid development of wireless network technology, in order to improve the use experience of customers, the wireless network is often arranged in an indoor place in the existing shopping mall or other public places, so how to evaluate the network quality of the wireless network is realized, and the optimization of the wireless network is a technical problem to be solved urgently.
In order to solve the above technical problems, in the prior art, in the invention patent CN202111322751.1, "indoor wireless network quality evaluation system, method, device and storage medium", the analysis server obtains the data related to the indoor wireless network quality from the storage server by automatically obtaining the data related to the indoor wireless network quality, so that a visual interface of the data related to the indoor wireless network quality can be constructed, and the network operation efficiency is greatly improved, but the following technical problems exist:
In the prior art, the evaluation of indoor network quality according to the network monitoring data of the routers in different indoor areas is neglected, and specifically, the network monitoring data of the routers in different areas have a certain degree of difference, and meanwhile, the people flow and the detention people flow in different areas also have a certain degree of difference, so that if the evaluation of indoor network quality can not be carried out by combining the factors, the accurate evaluation of indoor network quality can not be accurately realized.
Aiming at the technical problems, the invention provides an intelligent monitoring method for indoor network signal quality.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the present invention, an observable full-link log tracking method is provided.
An intelligent monitoring method for indoor network signal quality is characterized by comprising the following steps:
s1, dividing an indoor space into a plurality of monitoring areas based on the setting positions of routers of the indoor space, and determining the busyness of the people flow in the different monitoring areas according to the people flow and the detention people flow in different time periods;
S2, determining the using busyness of routers in different monitoring areas by using access data of the routers, determining importance evaluation values of different monitoring areas by combining the busyness of people flow in different monitoring areas, and dividing the types of the monitoring areas into a core area and a general area according to the importance evaluation values;
S3, determining network connection quality of different monitoring areas and problem monitoring areas through network connection data of a router, judging whether the number of the problem monitoring areas meets the requirement, if so, entering the next step, and if not, determining network signal quality through the number of different types of monitoring areas in the problem monitoring areas;
And S4, determining the comprehensive network connection quality of different types of monitoring areas according to the network connection quality of different types of monitoring areas and the number of problem monitoring areas, and determining the network signal quality by combining the importance evaluation values and the number of different types of monitoring areas.
The invention has the beneficial effects that:
1. The method and the device have the advantages that the busyness of the people flow in different monitoring areas is determined according to the people flow and the detention people flow in different time periods, the difference of network quality requirements caused by the difference of the people flow in different monitoring areas is fully considered, and therefore a foundation is laid for further realizing the evaluation of the differentiated network signal quality.
2. By evaluating the importance evaluation values of different monitoring areas, the difference of the traffic of the different monitoring areas is considered, and meanwhile, the difference of the network connection busyness of the different monitoring areas is also considered, so that the evaluation of the difference of the network signal quality requirements of the different areas and the difference of the severity degree of the influence when the network quality is problematic are realized, and meanwhile, the foundation is laid for the evaluation of the differentiated network connection quality according to the network connection states of the different monitoring areas.
3. By determining the network signal quality according to the comprehensive network connection quality, the importance evaluation value and the number of different types of monitoring areas, not only is the difference of the network connection quality of different monitoring areas considered, but also the difference of the influence on the overall network signal quality and the communication reliability when the network connection quality of different monitoring areas has problems due to the difference of the number and the importance evaluation value is realized, and further the accurate evaluation of the network signal quality is realized.
The further technical scheme is that the indoor space is divided into a plurality of monitoring areas based on the setting position of the router of the indoor space, and the method specifically comprises the following steps:
And determining a network coverage area of the router according to the setting position of the router of the indoor space and the coverage area of the network signal of the router, and dividing the indoor space into a plurality of monitoring areas through the network coverage area of the router.
The further technical solution is that the type of the monitoring area is divided into a core area and a general area according to the importance evaluation value, specifically including:
When the importance evaluation value of the monitoring area is larger than the importance maximum preset quantity, determining the type of the monitoring area as a core area;
And when the importance evaluation value of the monitoring area is not more than the importance maximum preset quantity, determining the type of the monitoring area as a general area.
The further technical scheme is that the method for determining the network signal quality comprises the following steps:
determining the comprehensive network connection quality of the core area and the general area based on the comprehensive network connection quality of different types of monitoring areas;
And determining the weight of the comprehensive network connection quality of the core area and the weight of the comprehensive network connection quality of the general area according to the importance evaluation values and the quantity of the different types of monitoring areas, and determining the network signal quality by combining the comprehensive network connection quality of the core area and the comprehensive network connection quality of the general area.
In another aspect, the present invention provides a computer system comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: and the processor executes the intelligent monitoring method for the indoor network signal quality when running the computer program.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 is a flow chart of an intelligent monitoring method for indoor network signal quality;
FIG. 2 is a flow chart of a method of monitoring a determination of a busyness of traffic of an area;
FIG. 3 is a block diagram of a computer system.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.
The applicant finds that when the network connection quality is evaluated in a large indoor place, the difference of the requirements of the difference of the people flow and the number of the connected users in different areas on the network connection quality is ignored, the difference of the importance of the network connection stability in different areas is ignored, and meanwhile, the accurate evaluation of the network signal quality in different areas is realized according to the network connection data in a certain time, so that the accurate evaluation of the indoor network signal quality cannot be realized.
Example 1
In order to solve the above-mentioned problems, according to an aspect of the present invention, as shown in fig. 1, there is provided an intelligent monitoring method for indoor network signal quality, which is characterized by specifically comprising:
s1, dividing an indoor space into a plurality of monitoring areas based on the setting positions of routers of the indoor space, and determining the busyness of the people flow in the different monitoring areas according to the people flow and the detention people flow in different time periods;
specifically, the indoor space is divided into a plurality of monitoring areas based on the setting position of the router of the indoor space, and specifically includes:
And determining a network coverage area of the router according to the setting position of the router of the indoor space and the coverage area of the network signal of the router, and dividing the indoor space into a plurality of monitoring areas through the network coverage area of the router.
In one possible embodiment, as shown in fig. 2, the method for determining the busyness of the traffic in the monitoring area in the step S1 includes:
S11, determining the people flow rate and the detention people flow rate of the monitoring area in preset time according to the people flow rates and the detention people flow rates of the monitoring area in different time periods, determining whether the monitoring area is busy or not according to the people flow rates and the detention people flow rates of the monitoring area in the preset time, if yes, determining the people flow rate busyness of the monitoring area according to the people flow rates and the detention people flow rates of the monitoring area in the preset time, and if not, entering the next step;
S12, determining busyness evaluation amounts and busyness time periods of different time periods of a monitoring area according to the people flow and the detention people flow of the different time periods of the monitoring area in preset time, determining whether the monitoring area is busyness according to the number of the busyness time periods of the monitoring area in the preset time, if so, determining the busyness of the people flow of the monitoring area according to the number of the busyness time periods of the monitoring area in the preset time and the busyness evaluation amounts, and if not, entering the next step;
s13, taking the time period with the busy time period removed in the preset time as a general flow time period, and determining the busyness of the time period of the monitoring area through the number of the busy time periods and the busyness evaluation amount sum, the number of the general flow time periods and the busyness evaluation amount sum of the monitoring area in the preset time;
s14, acquiring the traffic flow and the detention traffic flow of the monitoring area in a preset time, determining the total busyness evaluation amount of the monitoring area by combining the average detention time of the detention traffic flow of the monitoring area in the preset time, and determining the traffic flow busyness of the monitoring area through the time period busyness and the total busyness evaluation amount of the monitoring area.
When the retention time of the people flow is longer than the preset time, the people flow is determined to be the retained people flow.
In another possible embodiment, the method for determining the busyness of the traffic in the monitoring area in the step S1 is as follows:
Determining the people flow rate and the detention people flow rate of the monitoring area in preset time according to the people flow rates and the detention people flow rates of the monitoring area in different time periods, and determining the total busyness evaluation quantity of the monitoring area by combining the average detention time of the detention people flow rate of the monitoring area in the preset time;
determining busyness evaluation amounts and busyness time periods of different time periods of the monitoring area in preset time through the people flow and the detention people flow of different time periods of the monitoring area;
When the total busyness evaluation amount of the monitoring area is within a preset busyness range and the number of busyness time periods is within a preset period number range:
determining the busyness of the people flow in the monitoring area according to the number of busyness time periods, the number of busyness evaluation amounts and the total busyness evaluation amount of the monitoring area;
When the total busyness evaluation amount of the monitoring area is not within a preset busyness range or the number of busyness time periods is not within a preset period number range:
taking the time period except the busy time period in the preset time as a general flow time period, and determining the busyness of the time period of the monitoring area through the number of the busy time periods and the number sum of busyness evaluation amounts, the number of the general flow time periods and the number of the busyness evaluation amounts in the preset time;
and determining the total detention duration of the detention people flow of the monitoring area in the preset time according to the detention time of the detention people flow of the monitoring area in the preset time, and determining the people flow busyness of the monitoring area by combining the time period busyness of the monitoring area and the total busyness evaluation amount.
S2, determining the using busyness of routers in different monitoring areas by using access data of the routers, determining importance evaluation values of different monitoring areas by combining the busyness of people flow in different monitoring areas, and dividing the types of the monitoring areas into a core area and a general area according to the importance evaluation values;
further, the access data of the router includes the number of access users of the router and the access time duration of different access users.
In one possible embodiment, the method for determining the usage busyness of the router in the step S2 is as follows:
S21, determining the number of access users and the access time length of the access users of the router of the monitoring area in a preset time through the access data of the router, determining whether the access state of the router of the monitoring area is busy according to the number of the access users and the access time length of the access users of the router of the monitoring area in the preset time, if so, determining the use busyness of the router of the monitoring area through the number of the access users and the access time length of the router of the monitoring area, and if not, entering the next step;
S22, determining effective access users based on the access time of the router of the monitoring area in a preset time, determining whether the access state of the router of the monitoring area is busy or not according to the number of the effective access users of the router of the monitoring area in the preset time, if not, entering the next step, and if so, entering the step S24;
S23, determining access busyness of different time periods according to the number of access users and the access time length of the routers of the monitoring area in different time periods, judging whether time periods with the access busyness not meeting requirements exist, if so, entering the next step, and if not, determining the use busyness of the routers of the monitoring area through the average value of the access busyness of the routers of the monitoring area in different time periods in preset time;
s24, determining the effective access busyness of the router of the monitoring area according to the number of effective access users and the access duration of the effective access users of the router of the monitoring area in a preset time, and determining the time period access busyness of the router of the monitoring area according to the number of time periods when the access busyness of the router of the monitoring area in the preset time does not meet the requirement and the access busyness;
s25, acquiring the number of access users and the access time length of the access users of the router of the monitoring area in a preset time, and determining the use busyness of the router of the monitoring area by combining the time period access busyness and the effective access busyness of the router of the monitoring area.
The method for classifying the type of the monitoring area into a core area and a general area according to the importance evaluation value specifically comprises the following steps:
When the importance evaluation value of the monitoring area is larger than the importance maximum preset quantity, determining the type of the monitoring area as a core area;
And when the importance evaluation value of the monitoring area is not more than the importance maximum preset quantity, determining the type of the monitoring area as a general area.
S3, determining network connection quality of different monitoring areas and problem monitoring areas through network connection data of a router, judging whether the number of the problem monitoring areas meets the requirement, if so, entering the next step, and if not, determining network signal quality through the number of different types of monitoring areas in the problem monitoring areas;
in one possible embodiment, the method for determining the network connection quality of the monitoring area in the step S3 is as follows:
s31, determining the number of users with network access failure of the router of the monitoring area within preset time through network connection data of the router of the monitoring area, determining the network access success rate of the monitoring area within preset time by combining the number of access users of the router of the monitoring area within preset time, determining whether the network connection quality of the monitoring area has a problem or not according to the network access success rate, if so, determining the monitoring area as a problem monitoring area, determining the network connection quality of the monitoring area through the network access success rate of the monitoring area, and if not, entering the next step;
S32, determining network access success rates of different time periods based on the number of users with network access failures in different time periods of the monitoring area, taking the time period with the network access success rates not meeting the requirement as a network problem time period, determining whether the network connection quality of the monitoring area has problems or not according to the number of the network problem time periods, if so, entering a step S34, and if not, entering a next step;
S33, determining a network connection problem evaluation quantity of the monitoring area according to the number of network problem time periods and the network access success rate of the monitoring area in preset time and the number of network access failure users in the network problem time periods of the monitoring area, and determining whether the network connection quality of the monitoring area has problems or not according to the network connection problem evaluation quantity, if yes, entering a step S34, and if not, determining the network connection quality of the monitoring area according to the network connection problem evaluation quantity;
S34, acquiring the number of users with network access failure and the network access success rate of the monitoring area in a preset time, determining the comprehensive connection problem assessment amount of the monitoring area by combining the average try access times of the users with network access failure of the monitoring area in the preset time, and determining the network connection quality of the monitoring area by combining the network connection problem assessment amount and the number of network problem time periods, wherein the number of the users with network access failure is larger than the number of the preset users.
In another possible embodiment, the method for determining the network connection quality of the monitoring area in the step S3 is as follows:
Determining the number of users with failed network access of the router of the monitoring area within a preset time through the network connection data of the router of the monitoring area,
When the number of users with network access failure of the router of the monitoring area in the preset time does not meet the requirement:
Determining the network connection quality of the monitoring area according to the number of users with network access failure of the router of the monitoring area in preset time;
When the number of the users with network access failure of the router of the monitoring area within the preset time meets the requirement:
Determining the network access success rate of the monitoring area in preset time by the number of users with network access failure of the router of the monitoring area in preset time and the number of access users of the router of the monitoring area in preset time, acquiring the number of users with network access failure of the monitoring area in preset time and the network access success rate, and determining the comprehensive connection problem assessment quantity of the monitoring area by combining the average try access times of the users with network access failure of the monitoring area in preset time;
and when the network connection quality of the monitoring area is determined to have no problem according to the comprehensive connection problem evaluation quantity:
taking the comprehensive connection problem evaluation value of the monitoring area as the network connection quality of the monitoring area;
and when the network connection quality of the monitoring area is determined to have problems according to the comprehensive connection problem evaluation quantity:
Determining network access success rates of different time periods based on the number of users with network access failure in different time periods of the monitoring area, taking time periods with network access success rates which do not meet requirements as network problem time periods, and determining the network connection problem assessment amount of the monitoring area by combining the number of network problem time periods and the network access success rates of the monitoring area in preset time and the number of users with network access failure in the network problem time periods of the monitoring area;
and determining the network connection quality of the monitoring area according to the network connection problem evaluation quantity, the network problem time period quantity of which the network access failure user quantity is larger than the preset user quantity and the comprehensive connection problem evaluation quantity.
And S4, determining the comprehensive network connection quality of different types of monitoring areas according to the network connection quality of different types of monitoring areas and the number of problem monitoring areas, and determining the network signal quality by combining the importance evaluation values and the number of different types of monitoring areas.
It should be noted that, the method for determining the network signal quality in the step S4 is as follows:
s41, determining the comprehensive network connection quality of the core area and the comprehensive network connection quality of the general area based on the comprehensive network connection quality of different types of monitoring areas;
S42, determining the weight of the comprehensive network connection quality of the core area and the weight of the comprehensive network connection quality of the general area according to the importance evaluation values and the quantity of the different types of monitoring areas, and determining the network signal quality by combining the comprehensive network connection quality of the core area and the comprehensive network connection quality of the general area.
Example 2
As shown in fig. 3, the present invention provides a computer system comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: and the processor executes the intelligent monitoring method for the indoor network signal quality when running the computer program.
Through the above embodiments, the following beneficial effects are mainly obtained:
1. The method and the device have the advantages that the busyness of the people flow in different monitoring areas is determined according to the people flow and the detention people flow in different time periods, the difference of network quality requirements caused by the difference of the people flow in different monitoring areas is fully considered, and therefore a foundation is laid for further realizing the evaluation of the differentiated network signal quality.
2. By evaluating the importance evaluation values of different monitoring areas, the difference of the traffic of the different monitoring areas is considered, and meanwhile, the difference of the network connection busyness of the different monitoring areas is also considered, so that the evaluation of the difference of the network signal quality requirements of the different areas and the difference of the severity degree of the influence when the network quality is problematic are realized, and meanwhile, the foundation is laid for the evaluation of the differentiated network connection quality according to the network connection states of the different monitoring areas.
3. By determining the network signal quality according to the comprehensive network connection quality, the importance evaluation value and the number of different types of monitoring areas, not only is the difference of the network connection quality of different monitoring areas considered, but also the difference of the influence on the overall network signal quality and the communication reliability when the network connection quality of different monitoring areas has problems due to the difference of the number and the importance evaluation value is realized, and further the accurate evaluation of the network signal quality is realized.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.
Claims (8)
1. An intelligent monitoring method for indoor network signal quality is characterized by comprising the following steps:
Dividing the indoor space into a plurality of monitoring areas based on the setting positions of routers of the indoor space, and determining the busyness of the people flow in the different monitoring areas according to the people flow and the detention people flow in different time periods;
Determining the using busyness of routers in different monitoring areas by utilizing access data of the routers, determining importance evaluation values of different monitoring areas by combining the busyness of people flow in different monitoring areas, and dividing the types of the monitoring areas into a core area and a general area according to the importance evaluation values;
Determining network connection quality of different monitoring areas and problem monitoring areas through network connection data of a router, judging whether the number of the problem monitoring areas meets requirements, if so, entering the next step, and if not, determining network signal quality through the number of different types of monitoring areas in the problem monitoring areas;
Determining the comprehensive network connection quality of different types of monitoring areas according to the network connection quality of different types of monitoring areas and the number of problem monitoring areas, and determining the network signal quality by combining the importance evaluation values and the number of different types of monitoring areas;
the method for determining the network connection quality of the monitoring area comprises the following steps:
s31, determining the number of users with network access failure of the router of the monitoring area within preset time through network connection data of the router of the monitoring area, determining the network access success rate of the monitoring area within preset time by combining the number of access users of the router of the monitoring area within preset time, determining whether the network connection quality of the monitoring area has a problem or not according to the network access success rate, if so, determining the monitoring area as a problem monitoring area, determining the network connection quality of the monitoring area through the network access success rate of the monitoring area, and if not, entering the next step;
S32, determining network access success rates of different time periods based on the number of users with network access failures in different time periods of the monitoring area, taking the time period with the network access success rates not meeting the requirement as a network problem time period, determining whether the network connection quality of the monitoring area has problems or not according to the number of the network problem time periods, if so, entering a step S34, and if not, entering a next step;
S33, determining a network connection problem evaluation quantity of the monitoring area according to the number of network problem time periods and the network access success rate of the monitoring area in preset time and the number of network access failure users in the network problem time periods of the monitoring area, and determining whether the network connection quality of the monitoring area has problems or not according to the network connection problem evaluation quantity, if yes, entering a step S34, and if not, determining the network connection quality of the monitoring area according to the network connection problem evaluation quantity;
S34, acquiring the number of users with network access failure and the network access success rate of the monitoring area in a preset time, determining the comprehensive connection problem assessment quantity of the monitoring area by combining the average try access times of the users with network access failure of the monitoring area in the preset time, and determining the network connection quality of the monitoring area by combining the network connection problem assessment quantity and the number of network problem time periods with the number of the users with network access failure being greater than the number of the preset users;
the method for determining the network signal quality comprises the following steps:
determining the comprehensive network connection quality of the core area and the general area based on the comprehensive network connection quality of different types of monitoring areas;
And determining the weight of the comprehensive network connection quality of the core area and the weight of the comprehensive network connection quality of the general area according to the importance evaluation values and the quantity of the different types of monitoring areas, and determining the network signal quality by combining the comprehensive network connection quality of the core area and the comprehensive network connection quality of the general area.
2. The intelligent indoor network signal quality monitoring method according to claim 1, wherein the indoor space is divided into a plurality of monitoring areas based on the setting position of the router of the indoor space, and the intelligent indoor network signal quality monitoring method specifically comprises:
And determining a network coverage area of the router according to the setting position of the router of the indoor space and the coverage area of the network signal of the router, and dividing the indoor space into a plurality of monitoring areas through the network coverage area of the router.
3. The intelligent monitoring method for indoor network signal quality according to claim 1, wherein the method for determining the busyness of the traffic in the monitored area is as follows:
Determining the people flow rate and the detention people flow rate of the monitoring area in preset time according to the people flow rates and the detention people flow rates of the monitoring area in different time periods, determining whether the monitoring area is busy or not according to the people flow rates and the detention people flow rates of the monitoring area in the preset time, if yes, determining the people flow rate busyness of the monitoring area according to the people flow rates and the detention people flow rates of the monitoring area in the preset time, and if not, entering the next step;
determining busyness evaluation amounts and busyness time periods of different time periods of a monitoring area according to the people flow and the detention people flow of the monitoring area in different time periods in preset time, determining whether the monitoring area is busy according to the number of the busyness time periods of the monitoring area in the preset time, if yes, determining the busyness of the people flow of the monitoring area according to the number of the busyness time periods and the busyness evaluation amounts of the monitoring area in the preset time, and if not, entering the next step;
taking the time period except the busy time period in the preset time as a general flow time period, and determining the busyness of the time period of the monitoring area through the number of the busy time periods and the number sum of busyness evaluation amounts, the number of the general flow time periods and the number of the busyness evaluation amounts in the preset time;
And acquiring the people flow rate and the detention people flow rate of the monitoring area in a preset time, determining the total busyness evaluation amount of the monitoring area by combining the average detention time of the detention people flow rate of the monitoring area in the preset time, and determining the people flow rate busyness of the monitoring area through the time period busyness and the total busyness evaluation amount of the monitoring area.
4. The intelligent monitoring method for indoor network signal quality according to claim 1, wherein when the retention time of the traffic is longer than a preset time, the traffic is determined to be the retained traffic.
5. The intelligent monitoring method for indoor network signal quality according to claim 1, wherein the access data of the router includes the number of access users of the router and the access time lengths of different access users.
6. The intelligent monitoring method for indoor network signal quality according to claim 1, wherein the method for determining the busyness of the router is as follows:
S21, determining the number of access users and the access time length of the access users of the router of the monitoring area in a preset time through the access data of the router, determining whether the access state of the router of the monitoring area is busy according to the number of the access users and the access time length of the access users of the router of the monitoring area in the preset time, if so, determining the use busyness of the router of the monitoring area through the number of the access users and the access time length of the router of the monitoring area, and if not, entering the next step;
S22, determining effective access users based on the access time of the router of the monitoring area in a preset time, determining whether the access state of the router of the monitoring area is busy or not according to the number of the effective access users of the router of the monitoring area in the preset time, if not, entering the next step, and if so, entering the step S24;
S23, determining access busyness of different time periods according to the number of access users and the access time length of the routers of the monitoring area in different time periods, judging whether time periods with the access busyness not meeting requirements exist, if so, entering the next step, and if not, determining the use busyness of the routers of the monitoring area through the average value of the access busyness of the routers of the monitoring area in different time periods in preset time;
s24, determining the effective access busyness of the router of the monitoring area according to the number of effective access users and the access duration of the effective access users of the router of the monitoring area in a preset time, and determining the time period access busyness of the router of the monitoring area according to the number of time periods when the access busyness of the router of the monitoring area in the preset time does not meet the requirement and the access busyness;
s25, acquiring the number of access users and the access time length of the access users of the router of the monitoring area in a preset time, and determining the use busyness of the router of the monitoring area by combining the time period access busyness and the effective access busyness of the router of the monitoring area.
7. The intelligent monitoring method for indoor network signal quality according to claim 1, wherein the type of the monitoring area is divided into a core area and a general area according to the importance evaluation value, specifically comprising:
When the importance evaluation value of the monitoring area is larger than the importance maximum preset quantity, determining the type of the monitoring area as a core area;
And when the importance evaluation value of the monitoring area is not more than the importance maximum preset quantity, determining the type of the monitoring area as a general area.
8. A computer system, comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor, when executing the computer program, performs an intelligent monitoring method for indoor network signal quality according to any one of claims 1-7.
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