CN108243429B - Network coverage detection method and system for indoor distribution system - Google Patents
Network coverage detection method and system for indoor distribution system Download PDFInfo
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- CN108243429B CN108243429B CN201611228302.XA CN201611228302A CN108243429B CN 108243429 B CN108243429 B CN 108243429B CN 201611228302 A CN201611228302 A CN 201611228302A CN 108243429 B CN108243429 B CN 108243429B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
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Abstract
The embodiment of the invention provides a network coverage detection method and a system for an indoor distribution system, wherein the method comprises the steps of acquiring network traffic data of a current indoor distributed cell; if judging that a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system according to the network traffic data and the change trend of the whole network traffic acquired in real time, acquiring a high-interference cell and a high-error block cell in the sudden drop cell; and determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell. The system comprises a network traffic data acquisition module, a network traffic data statistics module, a sudden drop cell judgment module and an alarm level determination module. The invention can quickly and effectively detect the state and the area of the network coverage signal sudden drop in the indoor distribution system, and ensures the stable and reliable operation of the indoor distribution system.
Description
Technical Field
The invention relates to the field of detection of indoor distribution systems, in particular to a network coverage detection method and system for an indoor distribution system.
Background
In general, mobile communication services include voice services and data services, and the voice services refer to telephone services (including short messages); the data service is a service implemented through a data communication network, such as internet access, multimedia message, video phone, network video, network game, and the like. After entering 4G, the data service is mainly used as an effective evaluation of the benefit and the capability of the 4G service; the indoor distribution system is a construction means for coverage extension, and is a successful scheme for improving the mobile communication environment in the building aiming at indoor user groups; the indoor antenna distribution system is used for uniformly distributing signals of the mobile base station to each corner indoors, so that an indoor area is ensured to have ideal signal coverage. Compared with a macro station, the indoor distribution system is provided with numerous indoor antennas and passive devices, except for information sources, other indoor distribution systems in the current network system all belong to dumb network element systems, and the monitoring difficulty is high.
With the rapid development of the 4G network and the gradual change of the client, the client has greater and greater dependence on the network and higher requirements on the network quality, and compared with the GSM network, the frequency band of the 4G network is higher, the level quality required by the service is higher, and when weak coverage occurs in a local area, the experience and perception of the client are seriously affected.
The current network operation monitoring mode is mainly carried out from two dimensions of equipment alarm and performance index, corresponding monitoring is carried out aiming at main equipment, namely RRU level, the macro station can basically realize effective monitoring because the RRU is directly externally connected with an antenna, but indoor distribution can not realize effective monitoring because a plurality of ceiling antennas are arranged; the existing network monitoring process is as shown in fig. 1, antenna groups of most indoor distribution systems of the existing network are in a monitoring missing state, that is, when coverage is deteriorated due to a failure of an antenna feeder in a certain area, it is difficult to perform leakage compensation through signals such as peripheral macro stations, and a network coverage hole is generated.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a network coverage detection method and system for an indoor distribution system, which can quickly and effectively detect the state of sudden drop of a network coverage signal in the indoor distribution system, accurately identify the area where the fault causing the network coverage to be poor exists, and ensure the stable and reliable operation of the indoor distribution system.
In order to solve the technical problems, the invention provides the following technical scheme:
in one aspect, the present invention provides a network coverage detection method for an indoor distribution system, including:
acquiring network traffic data of a current front office divided cell;
if judging that a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-error block cell in the sudden drop cell;
determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell;
the indoor sub-cell is a network cell in an indoor distribution system covered by LTE network signals, and the whole network traffic variation trend is the whole traffic variation trend of the current LTE network.
Further, the acquiring network traffic data of the current cell includes:
acquiring network traffic data of a current front-office separate cell by taking a preset first time period as a detection period, wherein the first time period is less than or equal to 24 hours;
and storing the acquired network traffic data.
Further, the method further comprises:
respectively counting the network traffic data in a preset second time period and a preset third time period, wherein the second time period is greater than the first time period, and the third time period is greater than the second time period;
calculating the network signal coverage rate of each indoor sub-cell in the current indoor distribution system according to the network traffic data of the second time period and the network traffic data of the third time period;
wherein the network signal coverage rate comprises a same-ratio network signal coverage rate of the second time period and a third time period, and a ring-ratio network signal coverage rate of the second time period.
Further, if it is determined that a sudden drop cell causing a sudden drop of a network coverage signal exists in the current indoor distribution system according to the network traffic data and the change trend of the total network traffic acquired in real time, acquiring a high interference cell and a high block error cell in the sudden drop cell, including:
acquiring the change trend of the traffic volume of the whole network in real time;
adjusting the network traffic data in a second time period according to the whole network traffic variation trend;
judging whether a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system or not according to the network signal coverage rate of each indoor sub-cell in the current indoor distribution system and the network traffic data in the second time period after adjustment;
if yes, determining a high interference cell and a high block error cell in the sudden drop cell;
otherwise, judging that the coverage of the network signal of the current indoor distribution system is normal.
Further, the determining whether there is a sudden drop cell causing a sudden drop of the network coverage signal in the current indoor distribution system according to the network signal coverage of each indoor sub-cell in the current indoor distribution system and the adjusted network traffic data in the second time period includes:
if the same-ratio network signal coverage rate of the front indoor separate cell is smaller than a same-ratio judgment threshold value, the ring-ratio network signal coverage rate is smaller than a ring-ratio judgment threshold value, the network traffic in the adjusted current second time period is smaller than a current traffic judgment threshold value, and the network traffic in the adjusted previous second time period is larger than a previous traffic judgment threshold value, determining that a sudden-drop cell causing sudden drop of the network coverage signal exists in the current indoor distribution system;
wherein the same-ratio decision threshold is smaller than a ring-ratio decision threshold, and the current traffic decision threshold is larger than a previous traffic decision threshold.
Further, the determining a high interference cell and a high block error cell in the sudden drop cell includes:
acquiring the high interference alarm frequency and the high block error alarm frequency of the sudden drop cell in a second time period;
and determining the sudden drop cells with the high interference alarm times larger than the interference threshold value as the high interference cells, and determining the sudden drop cells with the high block error alarm times larger than the block error threshold value as the high block error cells.
Further, the determining the alarm level of the network coverage signal according to the alarm frequency of the high interference cell or the high block error cell includes:
judging whether an electronic operation and maintenance EOMS fault work order alarm exists in a sudden drop cell serving as a high-interference cell or a high-block error cell;
if the electronic operation and maintenance EOMS fault work order alarm exists in the sudden reduction cell, setting the alarm level of the current network coverage signal to be a medium level or a high level according to the alarm times of the sudden reduction cell in a second time period;
otherwise, setting the alarm level of the current network coverage signal to be a general level or a middle level according to the alarm times of the sudden drop cell in the second time period.
Further, the setting the alarm level of the current network coverage signal to a medium level or a high level according to the alarm times of the sudden drop cell in the second time period includes:
judging whether the alarm frequency of the sudden drop cell exceeds three times in a second time period;
if yes, setting the alarm level of the current network coverage signal to be high level;
otherwise, the alarm level of the current network coverage signal is set to be the middle level.
Further, the setting the alarm level of the current network coverage signal to a general level or an intermediate level according to the alarm times of the sudden drop cell in the second time period includes:
judging whether the alarm frequency of the sudden drop cell exceeds three times in a second time period;
if yes, setting the alarm level of the current network coverage signal as a middle level;
otherwise, the alarm level of the current network coverage signal is set to a general level.
In another aspect, the present invention further provides a network coverage detection system for an indoor distribution system, including:
the network traffic data acquisition module is used for acquiring the network traffic data of the current office of the separate cell;
a sudden drop cell judgment module, configured to judge and know that a sudden drop cell causing a sudden drop of a network coverage signal exists in a current indoor distribution system according to the network traffic data and a real-time acquired change trend of the total network traffic, and acquire a high interference cell and a high block error cell in the sudden drop cell;
the alarm level determining module is used for determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell;
the indoor sub-cell is a network cell in an indoor distribution system covered by LTE network signals, and the whole network traffic variation trend is the whole traffic variation trend of the current LTE network
According to the technical scheme, the network coverage detection method and the network coverage detection system for the indoor distribution system are characterized in that network traffic data of a current cell is acquired; if judging that a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system according to the network traffic data and the change trend of the whole network traffic acquired in real time, acquiring a high-interference cell and a high-error block cell in the sudden drop cell; determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell; the method can quickly and effectively detect the state of sudden drop of the network coverage signal in the indoor distribution system, accurately identify the area where the fault causing the network coverage to be poor is located, and timely find the problem which cannot be found by the conventional monitoring means, so that the stable and reliable operation of the indoor distribution system is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a prior art network-present monitoring process for an indoor distribution system;
fig. 2 is a flowchart illustrating a network coverage detection method for an indoor distribution system according to a first embodiment of the present invention;
FIG. 3 is a flow chart illustrating a step 100 of the detection method according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart of step A00 in the detection method according to the third embodiment of the present invention;
FIG. 5 is a flow chart illustrating a step 200 of the detection method according to the fourth embodiment of the present invention;
FIG. 6 is a schematic flow chart of step 204 in the detection method according to the sixth embodiment of the present invention;
FIG. 7 is a flowchart illustrating a step 300 of the detecting method according to a seventh embodiment of the present invention;
fig. 8 is a schematic flow chart of step 302 in the detection method according to the eighth embodiment of the present invention;
FIG. 9 is a schematic flowchart of step 303 of the detection method according to the ninth embodiment of the present invention;
fig. 10 is a schematic structural diagram of a network coverage detection system for an indoor distribution system in the tenth embodiment of the present invention;
fig. 11 is a schematic structural diagram of a network coverage detection apparatus for an indoor distribution system in an eleventh embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a concrete implementation mode of a network coverage detection method for an indoor distribution system. Referring to fig. 2, the detection method specifically includes the following steps:
step 100: network traffic data for the current home cell is obtained.
In this step, the LTE indoor sub-cell traffic data may be obtained in real time, or the LTE indoor sub-cell traffic data may be obtained at a fixed time every day, and after the LTE indoor sub-cell traffic data is obtained, the obtained LTE indoor sub-cell traffic data is stored for subsequent analysis.
Step 200: and if judging that the current indoor distribution system has a sudden drop cell causing sudden drop of network coverage signals according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-error block cell in the sudden drop cell.
In this step, firstly, the network traffic data is counted from the stored LTE cell traffic data, the full network traffic variation trend is obtained in real time, the network traffic data in the second time period is adjusted according to the full network traffic variation trend, and whether a sudden drop cell causing a sudden drop of a network coverage signal exists in the current indoor distribution system is determined according to the network signal coverage of each cell in the current indoor distribution system and the adjusted network traffic data in the second time period.
Step 300: and determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell.
In this step, the indoor sub-cell is a network cell in an indoor distribution system covered by LTE network signals, and the overall network traffic variation trend is an overall traffic variation trend of the current LTE network.
As can be seen from the above description, the embodiment of the present invention can quickly and effectively detect the state of sudden drop of the network coverage signal in the indoor distribution system, and accurately identify the area where the fault causing the network coverage to be deteriorated is located, thereby ensuring stable and reliable operation of the indoor distribution system.
The second embodiment of the present invention provides a specific implementation manner of step 100 in the detection method. Referring to fig. 3, the step 100 specifically includes the following steps:
step 101: and acquiring network traffic data of the current front-office extension cell by taking a preset first time period as a detection period, wherein the first time period is less than or equal to 24 hours.
Step 102: and storing the acquired network traffic data.
As can be seen from the above description, the embodiment of the present invention realizes regular acquisition of network traffic data of the current indoor cell, and ensures accuracy of the traffic data.
The third embodiment of the present invention provides a specific implementation manner of the detection method including steps a01 to a 02. Referring to fig. 4, the step a00 specifically includes the following steps:
step A01: and respectively counting the network traffic data in a preset second time period and a preset third time period.
In this step, the second period of time is greater than the first period of time, and the third period of time is greater than the second period of time.
Step A02: and calculating the network signal coverage rate of each indoor sub-cell in the current indoor distribution system according to the network traffic data in the second time period and the network traffic data in the third time period.
In this step, the network signal coverage includes a same-ratio network signal coverage of the second time period and a third time period, and a ring-ratio network signal coverage of the second time period.
As can be seen from the above description, the embodiment of the present invention provides a specific way to perform effective and fast statistics on the network traffic data, and the current fast statistics ensure that the subsequent steps are performed in time.
The fourth embodiment of the present invention provides a specific implementation manner of step 200 in the detection method. Referring to fig. 5, the step 200 specifically includes the following steps:
step 201: and acquiring the change trend of the traffic of the whole network in real time.
Step 202: and adjusting the network traffic data in a second time interval according to the whole network traffic variation trend.
Step 203: judging whether a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system or not according to the network signal coverage rate of each indoor sub-cell in the current indoor distribution system and the network traffic data in the second time period after adjustment; if yes, go to step 204, otherwise, go to step 205.
Step 204: and determining a high interference cell and a high block error cell in the sudden drop cell.
Step 205: and judging that the coverage of the network signal of the current indoor distribution system is normal.
As can be seen from the above description, the embodiments of the present invention implement fast acquisition of the sudden drop cell in the indoor distribution system, and ensure stable and reliable operation of the indoor distribution system.
The fifth embodiment of the present invention provides a specific implementation manner of step 203 in the detection method. The step 203 specifically includes the following steps:
if the same-ratio network signal coverage rate of the front indoor separate cell is smaller than a same-ratio judgment threshold value, the ring-ratio network signal coverage rate is smaller than a ring-ratio judgment threshold value, the network traffic in the adjusted current second time period is smaller than a current traffic judgment threshold value, and the network traffic in the adjusted previous second time period is larger than a previous traffic judgment threshold value, determining that a sudden-drop cell causing sudden drop of the network coverage signal exists in the current indoor distribution system; wherein the same-ratio decision threshold is smaller than a ring-ratio decision threshold, and the current traffic decision threshold is larger than a previous traffic decision threshold.
As can be seen from the above description, the embodiment of the present invention realizes a specific implementation manner of determining whether there is a degradation cell causing a degradation of network coverage signal in the current indoor distribution system according to the network signal coverage of each indoor sub-cell in the current indoor distribution system and the adjusted network traffic data in the second time period, and provides an effective and accurate data basis for the subsequent level determination of the degradation cell.
Sixth embodiment of the present invention provides a specific implementation manner of step 204 in the detection method. Referring to fig. 6, the step 204 specifically includes the following steps:
step 204 a: and acquiring the high interference alarm frequency and the high block error alarm frequency of the sudden drop cell in a second time period.
Step 204 b: and determining the sudden drop cells with the high interference alarm times larger than the interference threshold value as the high interference cells, and determining the sudden drop cells with the high block error alarm times larger than the block error threshold value as the high block error cells.
As can be seen from the above description, the embodiments of the present invention can quickly and efficiently identify a high interference cell and a high block error cell in the degraded cells.
The seventh embodiment of the present invention provides a specific implementation manner of step 300 in the above-mentioned detection method. Referring to fig. 7, the step 300 specifically includes the following steps:
step 301: judging whether an electronic operation and maintenance EOMS fault work order alarm exists in a sudden drop cell serving as a high-interference cell or a high-block error cell; if yes, go to step 302, otherwise go to step 303.
Step 302: and setting the alarm level of the current network coverage signal to be a medium level or a high level according to the alarm times of the sudden drop cell in the second time period.
Step 303: and setting the alarm level of the current network coverage signal to be a general level or a middle level according to the alarm times of the sudden drop cell in the second time period.
As can be seen from the above description, according to the embodiments of the present invention, the alarm level of the network coverage signal is quickly and initially determined according to the alarm times of the high interference cell and the high block error cell.
The eighth embodiment of the present invention provides a specific implementation manner of step 402 in the detection method. Referring to fig. 8, the step 302 specifically includes the following steps:
step 302 a: judging whether the alarm frequency of the sudden drop cell exceeds three times in a second time period; if yes, go to step 302b, otherwise go to step 302 c.
Step 302 b: the alarm level of the current network coverage signal is set to high level.
Step 302 c: the alarm level of the current network coverage signal is set to a medium level.
From the above description, it can be seen that embodiments of the present invention enable rapid further identification and determination of alarm levels for medium or high level network coverage signals.
The ninth embodiment of the present invention provides a specific implementation manner of step 303 in the detection method. Referring to fig. 9, the step 303 specifically includes the following steps:
step 303 a: judging whether the alarm frequency of the sudden drop cell exceeds three times in a second time period; if yes, go to step 303b, otherwise go to step 303 c.
Step 303 b: the alarm level of the current network coverage signal is set to a medium level.
Step 303 c: the alarm level of the current network coverage signal is set to a general level.
From the above description, it can be seen that the embodiments of the present invention enable fast further identification and determination of the alarm level of the network coverage signal of the medium or general level.
For further explaining the scheme, the invention also provides an application example of the network coverage detection method for the indoor distribution system. The detection method specifically comprises the following steps:
under the current situation that whether a traditional distribution system is in healthy operation or not can not be effectively monitored by conventional performance indexes, the maturity of a current network user model is considered, when abnormal fluctuation of the traffic of a certain area occurs, except special conditions (campus network, communication guarantee and the like), the problem that the conventional monitoring means can not find out in time by establishing a corresponding traffic change model and judgment conditions can be suspected to cause that the service in the coverage area of the distribution system can not be effectively absorbed due to the fact that a local area of the distribution system breaks down, and therefore the healthy operation of the indoor distribution network can be guaranteed.
The traffic is not only presented in a data statistics form, but also used as an index for judging the network running state. Before this, the traffic is just used as a statistical data for showing the network benefit, and the invention judges the system which may have problems through the change trend of the traffic and the corresponding algorithm, and sorts the object list for the subsequent touch-and-control treatment.
Secondly, according to the change trend K value of the traffic volume of the whole network, a real-time and accurate judgment base number is output, and the accuracy is improved. Because the traffic volume continuously changes, taking 4G as an example, as the network scale continuously grows, the deep coverage is gradually strengthened, the traffic volume is in a steady ascending stage, and in order to reduce fluctuation and improve accuracy, the cell-level traffic screening condition takes a month as a unit and is multiplied by a value K to obtain the traffic volume judgment condition for screening the target cell every month.
And thirdly, setting a statistic period of the traffic variation according to the network development trend, and timely and accurately positioning the target cell. The daily traffic statistics is subjected to trend analysis by taking a month as a unit, in the algorithm, three busy days are taken, statistics is summarized by taking a week as a unit, a target cell with a traffic variation amplitude (the value is an early test point empirical value) reaching a threshold is obtained through two comparison algorithms of a ring ratio and a previous month unity ratio, and a final target list is output by combining with a traffic judgment condition to serve as a field check target.
The specific implementation scheme of the invention is as follows:
step 1: acquiring LTE room sub-cell traffic data every day;
in this step, the service volume data of the LTE indoor sub-cell can be obtained in real time, or the service volume data of the LTE indoor sub-cell can be obtained at a fixed time every day.
For example, 3 times of LTE indoor sub-cell traffic data is acquired at the most busy 3 periods per day, or 6 times of LTE indoor sub-cell traffic data is acquired at the most busy 6 periods per day.
And after the LTE indoor sub-cell service volume data is acquired, the acquired LTE indoor sub-cell service volume data is stored and used for subsequent analysis.
Step 2: counting the traffic of each week in week from the stored LTE cell traffic data;
and step 3: determining a sudden drop cell according to the service volume of each week;
the algorithm definition of the indoor LTE service sudden drop cell is as follows:
the algorithm of the same ratio: (data traffic of the week-data traffic of the same week of the last month)/data traffic of the same week of the last month;
the ring ratio algorithm: (data traffic of the week-data traffic of the last week)/data traffic of the last week;
service sudden drop cell: the indoor LTE cell that satisfies decision condition 1 and decision condition 2 (the traffic in decision condition 2 will be adjusted in real time along with the traffic trend K value of the whole network), and the comparison table of decision condition 1 and decision condition 2 is shown in table one:
TABLE-REFERENCE RELATIONS OF DECISION CONDITIONS 1 AND DECISION CONDITIONS 2
In practical application, taking the problem cell processing of the whole province in 4 months as an example, the target cell screening is performed according to algorithm definition, and the whole province has 155 traffic volume reducing cells in total, and the specific distribution is shown in the following table two:
table two traffic drop cell distribution example
From the feedback results of six places (hangzhou, jiaxing, lishui, Ningbo, Quzhou, Taizhou) of pilot points, 4-month indoor LTE service sudden cell degradation causes, wherein 71% of the indoor LTE service sudden cell degradation causes equipment failure, 14% of the indoor LTE service sudden cell degradation causes owner dispute, 10% of the indoor LTE service sudden cell degradation causes interference, and 5% of the indoor LTE service sudden cell degradation causes holiday fluctuation.
And 4, step 4: determining a high interference cell and a high block error cell according to the service volume of each week;
2. defining a high interference cell and a high block error cell:
(1) high interference alarm times: outputting the cell number in units of days, and extracting the times of high interference alarm of the cell in one week;
(2) high block error alarm times: and outputting the alarm frequency in units of days, and extracting the high block error alarm frequency of the cell in one week. And the definition of the high interference cell and the high block error cell is shown in table three:
definition of table three high interference cell and high block error cell
And 5: determining the grade of a service sudden reduction cell according to a high interference cell and a high block error cell;
the traffic degradation cell is set according to three processing levels, namely 'high, medium and general'.
(1) High-level: and extracting the indoor LTE service sudden reduction cell combined with the EOMS fault work order alarm, and if the indoor LTE service sudden reduction cell is the service sudden reduction cell and the EOMS alarm work order also exists, setting the grade of the service sudden reduction cell to be high grade. The service sudden drop cell is combined with a high interference cell and a high block error cell, the alarming times of the high interference and high block error cell in a week are more than or equal to 3 times, and the grade of the service sudden drop cell is set to be high.
(2) And (3) intermediate stage: and extracting the indoor LTE service sudden drop cell, combining the high interference and high block error cell in one week, and if the cell is the high interference and high block error cell but the week alarm frequency is less than 3 times, setting the cell level as a middle level.
(3) Generally: the method belongs to an indoor LTE (Long term evolution) service sudden-drop cell, but the method has no EOMS (Ethernet over Mobile station) alarm, and also has no service sudden-drop cell with high interference and high block error alarm.
From the above description, the application example of the present invention outputs a real-time accurate dynamic judgment base number according to the traffic variation trend K of the whole network, thereby improving the accuracy. Because the traffic volume continuously changes, taking 4G as an example, along with the continuous growth of the network scale, the deep coverage is gradually strengthened, the traffic volume is in a steady ascending stage, and in order to reduce fluctuation and improve accuracy, the cell-level traffic screening condition takes a month as a unit and is multiplied by a K value to obtain a traffic volume judgment condition for screening a target cell every month; thirdly, according to the network development trend, setting a statistic period of the traffic variation, and timely and accurately positioning the target cell. The daily traffic statistics is subjected to trend analysis by taking a month as a unit, in the algorithm, three busy days are taken, statistics is summarized by taking a week as a unit, a target cell with a traffic variation amplitude (the value is an early test point empirical value) reaching a threshold is obtained through two comparison algorithms of a ring ratio and a previous month unity ratio, and a final target list is output by combining with a traffic judgment condition to serve as a field check target.
Embodiments of the present invention provide a specific implementation of a network coverage detection system for an indoor distribution system. Referring to fig. 10, the detection system specifically includes the following:
a network traffic data obtaining module 10, configured to obtain network traffic data of the current office extension cell;
a sudden drop cell determining module 20, configured to determine that a sudden drop cell causing a sudden drop of a network coverage signal exists in a current indoor distribution system according to the network traffic data and a change trend of the total network traffic acquired in real time, and acquire a high interference cell and a high block error cell in the sudden drop cell;
an alarm level determining module 30, configured to determine an alarm level of a network coverage signal according to the alarm times of the high interference cell and the high block error cell; the indoor sub-cell is a network cell in an indoor distribution system covered by LTE network signals, and the whole network traffic variation trend is the whole traffic variation trend of the current LTE network.
As can be seen from the above description, the embodiment of the present invention can quickly and effectively detect the state of sudden drop of the network coverage signal in the indoor distribution system, and accurately identify the area where the fault causing the network coverage to be deteriorated is located, thereby ensuring stable and reliable operation of the indoor distribution system.
An eleventh embodiment of the present invention provides a network coverage detection device for an indoor distribution system, where, referring to fig. 11, the device is specifically as follows:
a processor (processor)801, a memory (memory)802, a communication Interface (Communications Interface)803, and a bus 804;
wherein the content of the first and second substances,
the processor 801, the memory 802 and the communication interface 803 complete mutual communication through the bus 804;
the communication interface 803 is used for information transmission between the automatic put-through device and a communication device of the charging system;
the processor 801 is configured to call program instructions in the memory 802 to perform the methods provided by the above-described method embodiments, including for example: acquiring network traffic data of a current front office divided cell; if judging that a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-error block cell in the sudden drop cell; and determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell.
An embodiment of the present invention provides a computer program product, and referring to fig. 2, the embodiment discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer can execute the method provided by the above-mentioned method embodiments, for example, including: acquiring network traffic data of a current front office divided cell; if judging that a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-error block cell in the sudden drop cell; and determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell.
A thirteenth embodiment of the present invention provides a non-transitory computer-readable storage medium, which stores computer instructions, where the computer instructions cause the computer to perform the methods provided by the foregoing method embodiments, for example, the methods include: acquiring network traffic data of a current front office divided cell; if judging that a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-error block cell in the sudden drop cell; and determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of the network coverage detection apparatus for an indoor distribution system are merely illustrative, where the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present invention, and are not limited thereto; although embodiments of the present invention have been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. A network coverage detection method for an indoor distribution system, comprising:
acquiring network traffic data of a current front office divided cell;
if judging that a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-error block cell in the sudden drop cell;
determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell;
the indoor sub-cell is a network cell in an indoor distribution system covered by LTE network signals, and the whole network traffic variation trend is the whole traffic variation trend of the current LTE network;
the acquiring network traffic data of the current cell comprises:
acquiring network traffic data of a current front-office separate cell by taking a preset first time period as a detection period, wherein the first time period is less than or equal to 24 hours;
storing the acquired network traffic data;
the method further comprises the following steps:
respectively counting the network traffic data in a preset second time period and a preset third time period, wherein the second time period is greater than the first time period, and the third time period is greater than the second time period;
calculating the network signal coverage rate of each indoor sub-cell in the current indoor distribution system according to the network traffic data of the second time period and the network traffic data of the third time period;
wherein the network signal coverage comprises a same-ratio network signal coverage of the second time period and a third time period, and a ring-ratio network signal coverage of the second time period;
if it is judged and known that a sudden drop cell causing sudden drop of a network coverage signal exists in a current indoor distribution system according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-block error cell in the sudden drop cell, and the method comprises the following steps:
acquiring the change trend of the traffic volume of the whole network in real time;
adjusting the network traffic data in a second time period according to the whole network traffic variation trend;
judging whether a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system or not according to the network signal coverage rate of each indoor sub-cell in the current indoor distribution system and the network traffic data in the second time period after adjustment;
if yes, determining a high interference cell and a high block error cell in the sudden drop cell;
otherwise, judging that the coverage of the network signal of the current indoor distribution system is normal;
the determining whether there is a sudden drop cell causing a sudden drop of the network coverage signal in the current indoor distribution system according to the network signal coverage rate of each indoor sub-cell in the current indoor distribution system and the adjusted network traffic data in the second time period includes:
and if the same-ratio network signal coverage rate of the front indoor separate cell is smaller than a same-ratio judgment threshold, the ring-ratio network signal coverage rate is smaller than a ring-ratio judgment threshold, the network traffic in the adjusted current second time period is smaller than a current traffic judgment threshold, and the network traffic in the adjusted previous second time period is larger than a previous traffic judgment threshold, determining that a sudden-drop cell causing sudden drop of the network coverage signal exists in the current indoor distribution system.
2. The method of claim 1, wherein the same-ratio decision threshold is less than a ring-ratio decision threshold, and wherein the current traffic decision threshold is greater than a previous traffic decision threshold.
3. The method of claim 1, wherein the determining a high interference cell and a high block error cell in the degraded cells comprises:
acquiring the high interference alarm frequency and the high block error alarm frequency of the sudden drop cell in a second time period;
and determining the sudden drop cells with the high interference alarm times larger than the interference threshold value as the high interference cells, and determining the sudden drop cells with the high block error alarm times larger than the block error threshold value as the high block error cells.
4. The method of claim 1, wherein the determining the alarm level of the network coverage signal according to the number of alarms of the high interference cell or the high block error cell comprises:
judging whether an electronic operation and maintenance EOMS fault work order alarm exists in a sudden drop cell serving as a high-interference cell or a high-block error cell;
if the electronic operation and maintenance EOMS fault work order alarm exists in the sudden reduction cell, setting the alarm level of the current network coverage signal to be a medium level or a high level according to the alarm times of the sudden reduction cell in a second time period;
otherwise, setting the alarm level of the current network coverage signal to be a general level or a middle level according to the alarm times of the sudden drop cell in the second time period.
5. The method according to claim 4, wherein the setting the alarm level of the current network coverage signal to the medium level or the high level according to the number of alarms of the sudden drop cell in the second period comprises:
judging whether the alarm frequency of the sudden drop cell exceeds three times in a second time period;
if yes, setting the alarm level of the current network coverage signal to be high level;
otherwise, the alarm level of the current network coverage signal is set to be the middle level.
6. The method according to claim 4, wherein the setting the alarm level of the current network coverage signal to a normal level or a medium level according to the number of alarms of the sudden drop cell in the second time period comprises:
judging whether the alarm frequency of the sudden drop cell exceeds three times in a second time period;
if yes, setting the alarm level of the current network coverage signal as a middle level;
otherwise, the alarm level of the current network coverage signal is set to a general level.
7. A network coverage detection system for an indoor distribution system, comprising:
the network traffic data acquisition module is used for acquiring the network traffic data of the current office of the separate cell;
a sudden drop cell judgment module, configured to judge and know that a sudden drop cell causing a sudden drop of a network coverage signal exists in a current indoor distribution system according to the network traffic data and a real-time acquired change trend of the total network traffic, and acquire a high interference cell and a high block error cell in the sudden drop cell;
the alarm level determining module is used for determining the alarm level of the network coverage signal according to the alarm times of the high interference cell and the high block error cell;
the indoor sub-cell is a network cell in an indoor distribution system covered by LTE network signals, and the whole network traffic variation trend is the whole traffic variation trend of the current LTE network;
the acquiring network traffic data of the current cell comprises:
acquiring network traffic data of a current front-office separate cell by taking a preset first time period as a detection period, wherein the first time period is less than or equal to 24 hours;
storing the acquired network traffic data;
respectively counting the network traffic data in a preset second time period and a preset third time period, wherein the second time period is greater than the first time period, and the third time period is greater than the second time period;
calculating the network signal coverage rate of each indoor sub-cell in the current indoor distribution system according to the network traffic data of the second time period and the network traffic data of the third time period;
wherein the network signal coverage comprises a same-ratio network signal coverage of the second time period and a third time period, and a ring-ratio network signal coverage of the second time period;
when judging that a sudden drop cell causing network coverage signal sudden drop exists in the current indoor distribution system according to the network traffic data and the real-time acquired full-network traffic variation trend, acquiring a high-interference cell and a high-error block cell in the sudden drop cell, comprising:
acquiring the change trend of the traffic volume of the whole network in real time;
adjusting the network traffic data in a second time period according to the whole network traffic variation trend;
judging whether a sudden drop cell causing sudden drop of network coverage signals exists in the current indoor distribution system or not according to the network signal coverage rate of each indoor sub-cell in the current indoor distribution system and the network traffic data in the second time period after adjustment;
if yes, determining a high interference cell and a high block error cell in the sudden drop cell;
otherwise, judging that the coverage of the network signal of the current indoor distribution system is normal;
the determining whether there is a sudden drop cell causing a sudden drop of the network coverage signal in the current indoor distribution system according to the network signal coverage rate of each indoor sub-cell in the current indoor distribution system and the adjusted network traffic data in the second time period includes:
and if the same-ratio network signal coverage rate of the front indoor separate cell is smaller than a same-ratio judgment threshold, the ring-ratio network signal coverage rate is smaller than a ring-ratio judgment threshold, the network traffic in the adjusted current second time period is smaller than a current traffic judgment threshold, and the network traffic in the adjusted previous second time period is larger than a previous traffic judgment threshold, determining that a sudden-drop cell causing sudden drop of the network coverage signal exists in the current indoor distribution system.
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| CN111132205A (en) * | 2019-09-10 | 2020-05-08 | 上海肯汀通讯科技有限公司 | Indoor distribution system early warning method and device based on network performance |
| CN113328882A (en) * | 2021-05-26 | 2021-08-31 | 中国联合网络通信集团有限公司 | Method, device, equipment and storage medium for determining potential off-network users |
| CN114339852B (en) * | 2021-12-31 | 2023-08-01 | 中国联合网络通信集团有限公司 | Cell fault analysis method and device, electronic equipment and storage medium |
| CN114449555B (en) * | 2022-02-10 | 2023-09-29 | 中盈优创资讯科技有限公司 | Indoor topology discovery method and device for 5G private network |
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