CN110337081B - Method and device for monitoring local fault in indoor distribution system and storage medium - Google Patents
Method and device for monitoring local fault in indoor distribution system and storage medium Download PDFInfo
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Abstract
The invention discloses a method for monitoring local faults in an indoor distribution system, which comprises the steps of acquiring first field intensity information of indoor sub-cells in the indoor distribution system, and combining second field intensity information meeting first preset conditions in the first field intensity information to form a slicing area; merging the slicing areas according to a second preset condition to form a slicing area group; calculating a weak coverage parameter of the slice area group according to a preset rule, and acquiring performance data of the indoor sub-cells corresponding to the slice area group; and judging whether the network of the indoor sub-cells in the indoor distribution system has faults or not according to the weak coverage parameters of the slice area group, the performance data of the corresponding indoor sub-cells and a preset judgment model. The invention also discloses a device for monitoring the local fault in the indoor distribution system and a storage medium. The invention can realize automatic judgment of local faults in the indoor distribution system through the judgment model without manual field test, and simultaneously improves the detection efficiency.
Description
Technical Field
The invention relates to the technical field of indoor wireless networks, in particular to a method and a device for monitoring local faults in an indoor distribution system and a storage medium.
Background
More than 70% of the existing mobile services occur in indoor areas, and indoor scenes become the key point for wireless network optimization. Compared with the outdoor situation, the indoor network condition and the internal structure are more complex, so that the indoor network cannot be actively monitored, and the fault is difficult to find in time.
The current method for monitoring local faults in an indoor distribution system mainly comprises the following steps:
1. the indoor network monitoring method has the advantages that the indoor network cannot be actively monitored, problems can only be passively found, and faults are difficult to find in time by means of user complaints or mode such as performance indexes, explicit hardware alarms and parameter setting.
2. The local network in the room (such as office building rooms and residential districts) is tested by using the acceptance test and daily test before the room is divided into the enclosures, so that the real network quality is known and the fault is judged. Therefore, manual testing and positioning are still needed, a large amount of manpower and material resources are consumed for indoor on-site troubleshooting testing, the troubleshooting period is long, and the influence on the network operation quality and the user use perception is large.
3. The additionally-installed indoor wireless network fault monitoring and diagnosing device comprises a monitoring terminal and a wireless sensor, and is used for collecting and processing wireless signals and autonomously detecting and alarming the indoor wireless network fault. However, this method is costly, and only can monitor some important scenes, and cannot be applied to all buildings and floors covered by the indoor system.
Disclosure of Invention
The invention mainly aims to provide a method for monitoring local faults in an indoor distribution system, and aims to solve the problems that faults cannot be early warned in time, a large amount of manpower and material resources are consumed, the detection efficiency is low, and all buildings and floors covered by the indoor system are difficult to monitor in the conventional method for monitoring the local faults in the indoor distribution system.
In order to achieve the above object, the present invention provides a method for monitoring local faults in an indoor distribution system, the method comprising:
acquiring first field intensity information of indoor sub-cells in the indoor distribution system, and combining second field intensity information meeting a first preset condition in the first field intensity information to form a slice area;
merging the slicing areas according to a second preset condition to form a slicing area group;
calculating a weak coverage parameter of the slice area group according to a preset rule, and acquiring performance data of the indoor sub-cells corresponding to the slice area group;
and judging whether the network of the indoor sub-cells in the indoor distribution system has faults or not according to the weak coverage parameters of the slice area group, the performance data of the corresponding indoor sub-cells and a preset judgment model.
Preferably, the step of obtaining first field strength information of indoor sub-cells in the indoor distribution system, and combining second field strength information satisfying a first preset condition in the first field strength information to form a slice region includes:
acquiring first field intensity information of an indoor sub-cell in the indoor distribution system, wherein the first field intensity information comprises an International Mobile Subscriber Identity (IMSI), sampling time corresponding to the IMSI, received signal code power (RSRP) of a main service cell corresponding to the IMSI and received signal code power (RSRP) of an adjacent cell corresponding to the IMSI;
and acquiring second field intensity information, wherein the sampling duration time in the first field intensity information is higher than a first preset value, and the difference values of the RSRP of the main serving cell and the RSRP of the adjacent cell are lower than a second preset value, and combining the second field intensity information to form a slice area.
Preferably, the first field strength information further includes an ECI of a main serving cell and an ECI of an adjacent cell, and the step of combining the slice regions according to a second preset condition to form a slice region group includes:
calculating the average received signal code power RSRP of a main service cell of the slice area and the average received signal code power RSRP of an adjacent cell;
and combining the slice regions which have the same ECI of the main service cell and the same ECI of the neighboring cell, have the sampling duration time lower than a third preset value, and have the difference value between the average received signal code power (RSRP) of the main service cell and the average received signal code power (RSRP) of the neighboring cell lower than a fourth preset value to form a slice region group, wherein the third preset value is larger than the first preset value.
Preferably, the weak coverage parameters include a weak coverage slice group proportion, a non-neighboring cell part weak coverage slice group proportion, a strong neighboring cell part weak coverage slice group proportion, a weak neighboring cell part weak coverage slice group proportion, and a non-time-span filtering weak coverage slice group proportion.
Preferably, the performance data includes at least one of a VoLTE voice traffic volume, a VoLTE voice total traffic volume, a VoLTE video total traffic volume, a maximum number of RRC connections, a number of RRC connection re-establishment successes, a number of RRC connection establishment requests, a number of E-RAB establishment successes, and a number of E-RAB establishment requests.
Preferably, before the step of determining whether a network of the indoor cells in the indoor distribution system has a fault according to the weak coverage parameter of the slice area group, the performance data of the corresponding indoor cells, and a preset determination model, the method includes:
acquiring weak coverage parameters and performance data of slice region groups of different sample cells;
and training and learning the weak coverage parameters and the performance data of the slice region group of the sample cell through a preset machine learning algorithm, and establishing a judgment model.
Preferably, the step of determining whether a network of the indoor cells in the indoor distribution system has a fault according to the weak coverage parameter of the slice area group, the performance data of the corresponding indoor cells, and a preset determination model includes:
inputting the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell into a preset judgment model;
analyzing the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell according to the weak coverage parameters and the performance data of the slice area group of the sample cell in the judgment model, and determining the index score of the indoor sub-cell;
and judging whether the network of the indoor sub-cell in the indoor distribution system has a fault according to the index score of the indoor sub-cell.
Preferably, the step of judging whether a network of the indoor sub-cells in the indoor distribution system has a fault according to the index score of the indoor sub-cells includes:
judging whether the index score of the indoor sub-cell is lower than a fifth preset value or not;
and if so, the network of the indoor sub-cell has a fault and generates a fault report.
In addition, to achieve the above object, the present invention further provides a device for monitoring a local fault in an indoor distribution system, including: the monitoring program of the local fault in the indoor distribution system is stored on the memory and can run on the processor, and when being executed by the processor, the monitoring program of the local fault in the indoor distribution system realizes the steps of the monitoring method of the local fault in the indoor distribution system.
Further, to achieve the above object, the present invention also provides a computer readable storage medium having stored thereon a monitoring program of a local failure in an indoor distribution system, which when executed by a processor, implements the steps of the monitoring method of a local failure in an indoor distribution system as described in any one of the above.
The method comprises the steps of obtaining first field intensity information of indoor sub-cells in an indoor distribution system, and combining second field intensity information meeting first preset conditions in the first field intensity information to form a slicing area; merging the slicing areas according to a second preset condition to form a slicing area group; calculating a weak coverage parameter of the slice area group according to a preset rule, and acquiring performance data of the indoor sub-cells corresponding to the slice area group; and judging whether the network of the indoor sub-cells in the indoor distribution system has faults or not according to the weak coverage parameters of the slice area group, the performance data of the corresponding indoor sub-cells and a preset judgment model. According to the mode, whether the network of the indoor distribution system has a fault is determined by obtaining first field intensity information of indoor sub-areas in the indoor distribution system, screening second field intensity information meeting first preset conditions from the first field intensity information, combining the second field intensity information to form slice areas, combining the slice areas according to the second preset conditions to form slice area groups, calculating weak coverage parameters of the slice area groups of the indoor sub-areas according to the field intensity information and the number of the slice area groups, and comparing and analyzing the calculated weak coverage parameters and the performance data of the indoor sub-areas with the weak coverage parameters and the performance data of the slice area groups of massive sample sub-areas in a judgment model. The method and the device have the advantages that the local faults in the indoor distribution system can be remotely monitored through the judgment model, manual field test is not needed, and meanwhile, the detection efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of a local fault monitoring apparatus in an indoor distribution system according to the present invention;
FIG. 2 is a schematic flow chart illustrating a method for monitoring local faults in an indoor distribution system according to a first embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for monitoring a local fault in an indoor distribution system according to a second embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
The hardware device of the embodiment of the invention can be a PC, and can also be terminal equipment such as a smart phone, a tablet computer, a server, a portable computer and the like.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the device shown in fig. 1 is not intended to be limiting of the device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a monitoring program for a local failure in an indoor distribution system.
In the apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to invoke a monitoring program for local faults in the indoor distribution system stored in the memory 1005 and perform the following operations:
acquiring first field intensity information of indoor sub-cells in the indoor distribution system, and combining second field intensity information meeting a first preset condition in the first field intensity information to form a slice area;
merging the slicing areas according to a second preset condition to form a slicing area group;
calculating a weak coverage parameter of the slice area group according to a preset rule, and acquiring performance data of the indoor sub-cells corresponding to the slice area group;
and judging whether the network of the indoor sub-cells in the indoor distribution system has faults or not according to the weak coverage parameters of the slice area group, the performance data of the corresponding indoor sub-cells and a preset judgment model.
Further, the processor 1001 may call a monitoring program for local faults in the indoor distribution system stored in the memory 1005, and also perform the following operations:
acquiring first field intensity information of an indoor sub-cell in the indoor distribution system, wherein the first field intensity information comprises an International Mobile Subscriber Identity (IMSI), sampling time corresponding to the IMSI, received signal code power (RSRP) of a main service cell corresponding to the IMSI and received signal code power (RSRP) of an adjacent cell corresponding to the IMSI;
and acquiring second field intensity information, wherein the sampling duration time in the first field intensity information is higher than a first preset value, and the difference values of the RSRP of the main serving cell and the RSRP of the adjacent cell are lower than a second preset value, and combining the second field intensity information to form a slice area.
Further, the processor 1001 may call a monitoring program for local faults in the indoor distribution system stored in the memory 1005, and also perform the following operations:
calculating the average received signal code power RSRP of a main service cell of the slice area and the average received signal code power RSRP of an adjacent cell;
and combining the slice regions which have the same ECI of the main service cell and the same ECI of the neighboring cell, have the sampling duration time lower than a third preset value, and have the difference value between the average received signal code power (RSRP) of the main service cell and the average received signal code power (RSRP) of the neighboring cell lower than a fourth preset value to form a slice region group, wherein the third preset value is larger than the first preset value.
Further, the processor 1001 may call a monitoring program for local faults in the indoor distribution system stored in the memory 1005, and also perform the following operations:
the weak coverage parameters comprise a weak coverage slice group proportion, a non-adjacent-area part weak coverage slice group proportion, a strong-adjacent-area part weak coverage slice group proportion, a weak-adjacent-area part weak coverage slice group proportion and a non-time-span filtering weak coverage slice group proportion.
Further, the processor 1001 may call a monitoring program for local faults in the indoor distribution system stored in the memory 1005, and also perform the following operations:
the performance data comprises at least one of VoLTE voice traffic, VoLTE voice total traffic, VoLTE video total traffic, maximum number of RRC connections, number of times of successful RRC connection reestablishment, number of times of successful RRC connection establishment, number of times of RRC connection establishment requests, number of successful E-RAB establishment and number of E-RAB establishment requests.
Further, the processor 1001 may call a monitoring program for local faults in the indoor distribution system stored in the memory 1005, and also perform the following operations:
acquiring weak coverage parameters and performance data of slice region groups of different sample cells;
and training and learning the weak coverage parameters and the performance data of the slice region group of the sample cell through a preset machine learning algorithm, and establishing a judgment model.
Further, the processor 1001 may call a monitoring program for local faults in the indoor distribution system stored in the memory 1005, and also perform the following operations:
inputting the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell into a preset judgment model;
analyzing the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell according to the weak coverage parameters and the performance data of the slice area group of the sample cell in the judgment model, and determining the index score of the indoor sub-cell;
and judging whether the network of the indoor sub-cell in the indoor distribution system has a fault according to the index score of the indoor sub-cell.
Further, the processor 1001 may call a monitoring program for local faults in the indoor distribution system stored in the memory 1005, and also perform the following operations:
judging whether the index score of the indoor sub-cell is lower than a fifth preset value or not;
and if so, the network of the indoor sub-cell has a fault and generates a fault report.
The specific embodiment of the monitoring apparatus for local faults in an indoor distribution system of the present invention is substantially the same as each embodiment of the monitoring method for local faults in an indoor distribution system described below, and details thereof are not repeated herein.
Referring to fig. 2, fig. 2 is a schematic flowchart of a monitoring method for local faults in an indoor distribution system according to a first embodiment of the present invention, where the monitoring method for local faults in an indoor distribution system includes:
step S10, acquiring first field intensity information of indoor sub-cells in the indoor distribution system, and merging second field intensity information meeting first preset conditions in the first field intensity information to form a slice area.
The hardware device of the embodiment of the present invention may be a PC, or may also be a terminal device such as a smart phone, a tablet computer, a server, and a portable computer. The MR measurement report is wireless information collected by the mobile terminal and is transmitted to the cell base station through a wireless network at regular time, so that the network side can obtain the wireless information. The field intensity information of the indoor sub-cells in the indoor distribution system is contained in the MR measurement report and is sent to the base station through the mobile phone. When the wireless network of the indoor sub-cell is monitored, the MR measurement report of the whole network base station is acquired through the PC, and the original downlink field intensity information of the indoor sub-cell is extracted from the MR measurement report and is used as the first field intensity information. The first field intensity information includes an International Mobile Subscriber Identity (IMSI), a sampling time corresponding to the IMSI, a received Signal code Power (RSRP) of a main serving cell corresponding to the IMSI, and a received Signal code Power (RSRP) of a neighboring cell corresponding to the IMSI.
After the PC acquires the first field intensity information, the PC screens the first field intensity information according to a first preset condition, takes the field intensity information meeting the first preset condition as second field intensity information, and combines the second field intensity information to form a slicing area. Specifically, when the sampled first field intensity information meets the condition that the sampling duration is higher than a first preset value and the difference value between the received signal code power of the main serving cell and the received signal code power of the adjacent cell is lower than a second preset value, the field intensity information meeting the condition is merged to form a slicing area. Wherein the second field strength information belongs to data in the first field strength information. For example, in the present embodiment, the first preset value is set to 30s, and the second preset value is set to 3dbm, then, in the present embodiment, sampling points that satisfy that the received signal code power variation amplitudes of the main serving cell and the neighboring cell are both lower than 3dbm and the duration is longer than 30s in the first field strength information of the cell are merged into one slice region.
Of course, the above-mentioned embodiment is a preferred embodiment of the present invention, and as another embodiment, more or less conditions than the above-mentioned first preset condition may be selected, for example, a limit of the sampling period is increased in the above-mentioned first preset condition.
Those skilled in the art can understand that the first preset value and the second preset value in the first preset condition can be set according to actual situations, and the present invention is not limited in particular.
And step S20, merging the slicing areas according to a second preset condition to form a slicing area group.
After the slice regions are obtained, calculating the average received signal code power RSRP of the main service cell and the average received signal code power RSRP of the adjacent cell of the slice regions, screening the slice regions meeting second preset conditions from all the slice regions, and combining the slice regions meeting the conditions to form a slice region group. In this embodiment, slice regions are selected from the slice regions in which the ECI of the primary serving cell is the same, the ECI of the neighbor cell is the same, the sampling duration is lower than a third preset value, and the difference between the average received signal code power RSRP of the primary serving cell and the average received signal code power RSRP of the neighbor cell is lower than a fourth preset value are combined to form a slice region group, where the third preset value must be greater than the first preset value. For example, in this embodiment, the third preset value is set to 20min, and the fourth preset value is set to 3dbm, then, in this embodiment, slice regions are selected and combined, where the ECI of the main serving cell is the same, the ECI of the neighboring cell is the same, the sampling duration is less than 20min, and the variation of the average received signal code power RSRP of the main serving cell and the average received signal code power RSRP of the neighboring cell is less than 3dbm, so as to form a slice region group.
Of course, the above-mentioned embodiment is a preferred embodiment of the present invention, and as another embodiment, more or less conditions than the second preset condition may be selected, for example, a limit of the sampling period is increased in the second preset condition.
Of course, those skilled in the art can understand that the third preset value and the fourth preset value in the second preset condition may be set according to actual situations, and the present invention is not limited thereto.
Step S30, calculating the weak coverage parameter of the slice area group according to a preset rule, and acquiring the performance data of the indoor sub-cell corresponding to the slice area group.
After the slice region groups are obtained, counting the number of the slice region groups of the indoor sub-cells, calculating the average received signal code power (RSRP) of a main service cell and the average received signal code power (RSRP) of an adjacent cell of each slice region group, and calculating the weak coverage parameters of the slice region groups according to preset rules according to the average received signal code power (RSRP) of the main service cell of the slice region groups, the average received signal code power (RSRP) of the adjacent cell and the number of the slice region groups. The weak coverage parameters comprise a weak coverage slice group proportion, a non-adjacent-area part weak coverage slice group proportion, a strong-adjacent-area part weak coverage slice group proportion, a weak-adjacent-area part weak coverage slice group proportion and a non-time-span filtering weak coverage slice group proportion. The proportion of the weak coverage slice groups is the ratio of the slice region group with the average field intensity of the main service cell smaller than-110 dbm to the total number of the slice region groups, the proportion of the weak coverage slice groups without the adjacent cell ECI is the ratio of the slice region group without the adjacent cell ECI to the total number of the slice region groups, the proportion of the weak coverage slice groups in the strong adjacent cell part is the ratio of the slice region group with the average field intensity of the adjacent cell larger than-90 dbm to the total number of the slice region groups, the proportion of the weak coverage slice groups in the weak adjacent cell part is the ratio of the slice region group with the average field intensity of the adjacent cell smaller than-95 dbm to the total number of the slice region groups, and the proportion of the time span-free filtering weak coverage slice groups is the ratio of the slice region group with the average field intensity of the main service cell and the average field intensity of the. Of course, the threshold values in the weak coverage parameters, such as-110 dbm, -90dbm and-95 dbm, can be defined according to practical situations, and the present invention is not limited thereto.
Meanwhile, the PC acquires performance data of the indoor sub-cells by collecting MR measurement reports of the base stations, wherein the performance data comprise VoLTE voice traffic, VoLTE voice total traffic, VoLTE video total traffic, maximum number of RRC connections, successful times of RRC connection reestablishment, successful times of RRC connection establishment, times of RRC connection establishment requests, successful times of E-RAB establishment, requested times of E-RAB establishment, maximum uplink activation E-RAB number of QCI1, maximum downlink activation E-RAB number of QCI1, maximum uplink activation E-RAB number of QCI2, maximum downlink activation E-RAB number of QCI2 and the like. In this embodiment, the performance data includes a combination of at least one of a VoLTE voice traffic volume, a VoLTE voice total traffic volume, a VoLTE video total traffic volume, a maximum number of RRC connections, a number of times of successful RRC connection reestablishment, a number of times of successful RRC connection establishment, a number of times of RRC connection establishment requests, a number of successful E-RAB establishment, and a number of E-RAB establishment requests. This implementation selects all of the above data as performance data.
Of course, the foregoing embodiment is a preferred embodiment of the present invention, and as another embodiment, more or less parameters than the foregoing weak coverage parameter and performance parameter may be selected, for example, the selected weak coverage parameter may be implemented by one, two, three, or four of a weak coverage slice group ratio, a non-neighboring cell part weak coverage slice group ratio, a strong-neighboring cell part weak coverage slice group ratio, a weak-neighboring cell part weak coverage slice group ratio, and a non-time-span filtering weak coverage slice group ratio, or a combination of other parameters and the weak coverage parameter. When selecting the performance parameters, more or less data can be obtained from the MR measurement report according to actual needs.
Step S40, determining whether there is a failure in the network of the indoor sub-cells in the indoor distribution system according to the weak coverage parameter of the slice area group, the performance data of the corresponding indoor sub-cells, and a preset determination model.
And recording the weak coverage parameters of the slice area group of the indoor sub-cell and the corresponding performance data of the indoor sub-cell into a preset judgment model, so as to judge whether the network of the indoor sub-cell has faults or not through the judgment model, thereby realizing the monitoring of the local faults of the indoor distribution system. In this embodiment, the weak coverage parameter of the slice area group of the indoor sub-cell and the performance data of the corresponding indoor sub-cell are analyzed according to the judgment model, an index score is determined, and whether the index score is lower than a fifth preset value or not is judged; and if so, the network of the indoor sub-cell has a fault and generates a fault report. The fault report can be in a word format or a PDF format, and is convenient to print. Specifically, the preset judgment model includes weak coverage parameters and performance data of slice area groups of different sample cells, the sample cells include scene marks under normal conditions and various fault conditions, the judgment model performs modeling based on the weak coverage parameters and the performance data under the scene marks, weight values of the weak coverage parameters and the performance data are preset, a weighted average value under the scene marks can be obtained through calculation according to a weighted average formula, and the weighted average value is used as an index score for fault judgment. When a network of a certain cell is monitored actually, the weak coverage parameters and performance data of the slice area group of the cell can be input into a judgment model, the index score of the cell is calculated through the judgment model and is compared with each index score in the judgment model, and then whether the cell has a network fault or not is confirmed.
In the embodiment, the field intensity information of the indoor sub-cells is combined according to the preset conditions to form a slice zone group, the weak coverage parameters of the slice zone group are calculated according to the average field intensity and the number of the slice zone group, the performance data of the indoor sub-cells are combined, the weak coverage parameters and the performance data of the slice zone group of the sample cell in the preset judgment model are compared and analyzed, and the network of the indoor sub-cells is judged to be monitored, so that the local faults in the indoor distribution system can be remotely monitored through the judgment model, the manual field test is not needed, the detection efficiency is improved, and the monitoring on all buildings and invisible faults of the floors covered by the indoor system is realized.
Further, referring to fig. 3, a flowchart of a second embodiment of the method for monitoring a local failure in an indoor distribution system according to the present invention is based on the embodiment shown in fig. 2, where before the step S40 determines whether a network of indoor cells in the indoor distribution system has a failure according to the weak coverage parameter of the slice area group, the performance data of the corresponding indoor cell, and the preset determination model, the method further includes:
step S50, acquiring weak coverage parameters and performance data of slice region groups of different sample cells.
The weak coverage parameters and the performance data of the slice area groups of different sample cells may be obtained according to the above steps S10, S20, and S30 in the first embodiment, or may be obtained in other manners.
And step S60, training and learning the weak coverage parameters and the performance data of the slice area group of the sample cell through a preset machine learning algorithm, and establishing a judgment model.
The judgment model is trained through a preset machine learning algorithm to obtain weak coverage parameters and performance data of slice region groups of different sample cells, the sample cells contain artificial marks and are marked with scene information under normal conditions and various fault conditions, and the weak coverage parameters and the performance data under the scene marks are modeled. The machine learning algorithm may be an xgboost (extreme Gradient boosting) algorithm. A regularization term is introduced into a cost function of the XGboost algorithm, and the regularization term comprises the number of all leaf nodes and the fraction output by the leaf nodes, so that overfitting can be prevented, and the complexity of the model is greatly reduced. The XGboost algorithm has good robustness on missing values, and when the missing values exist in the samples, the XGboost algorithm can automatically learn the splitting direction; and the XGboost algorithm supports parallel computing, so that the XGboost algorithm has great advantages in efficiency and accuracy. The specific algorithm is as follows:
after the XGboost algorithm is iterated for the t time, the prediction of the model is equal to the prediction of the model for the first t-1 times plus the prediction of the t tree:
an objective function:
the second order Taylor expansion of the function f (x) is:
wherein
T is the number of leaves, w is the weight of the leaves, and constant is a constant term.
Let Ij＝{i|q(xi) J is defined as the set of samples above each leaf, the objective function can be expressed as:
wherein,
and learning and training weak coverage parameters and performance data of the slice region group of the sample cell according to the XGboost algorithm, and establishing a judgment model. When the network fault of some indoor subsystem is detected subsequently, the index score of each indoor sub-cell in the indoor subsystem is obtained through the judgment model, and then whether the network of the indoor sub-cell has the fault or not is judged.
Of course, except for the XGBoost algorithm in this embodiment, the XGBoost algorithm may also be implemented by other algorithms such as GDBT and AdaBoost, and the present invention is not particularly limited.
In this embodiment, a judgment model is established by performing learning training on the weak coverage parameters and the performance data of the slice area group of the sample cell under normal conditions and different fault conditions, and when fault detection needs to be performed on a certain indoor sub-cell in the later period, the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell are obtained and are compared with the data in the judgment model for analysis, so that whether a fault exists in the network of the indoor sub-cell can be known.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a monitoring program for a local fault in an indoor distribution system is stored on the computer-readable storage medium, and when executed by a processor, the monitoring program for a local fault in an indoor distribution system implements the following operations:
acquiring first field intensity information of indoor sub-cells in the indoor distribution system, and combining second field intensity information meeting a first preset condition in the first field intensity information to form a slice area;
merging the slicing areas according to a second preset condition to form a slicing area group;
calculating a weak coverage parameter of the slice area group according to a preset rule, and acquiring performance data of the indoor sub-cells corresponding to the slice area group;
and judging whether the network of the indoor sub-cells in the indoor distribution system has faults or not according to the weak coverage parameters of the slice area group, the performance data of the corresponding indoor sub-cells and a preset judgment model.
Further, the monitoring program for local fault in the indoor distribution system when executed by the processor further implements the following operations:
acquiring first field intensity information of an indoor sub-cell in the indoor distribution system, wherein the first field intensity information comprises an International Mobile Subscriber Identity (IMSI), sampling time corresponding to the IMSI, received signal code power (RSRP) of a main service cell corresponding to the IMSI and received signal code power (RSRP) of an adjacent cell corresponding to the IMSI;
and acquiring second field intensity information, wherein the sampling duration time in the first field intensity information is higher than a first preset value, and the difference values of the RSRP of the main serving cell and the RSRP of the adjacent cell are lower than a second preset value, and combining the second field intensity information to form a slice area.
Further, the monitoring program for local fault in the indoor distribution system when executed by the processor further implements the following operations:
calculating the average received signal code power RSRP of a main service cell of the slice area and the average received signal code power RSRP of an adjacent cell;
and combining the slice regions which have the same ECI of the main service cell and the same ECI of the neighboring cell, have the sampling duration time lower than a third preset value, and have the difference value between the average received signal code power (RSRP) of the main service cell and the average received signal code power (RSRP) of the neighboring cell lower than a fourth preset value to form a slice region group, wherein the third preset value is larger than the first preset value.
Further, the monitoring program for local fault in the indoor distribution system when executed by the processor further implements the following operations:
the weak coverage parameters comprise a weak coverage slice group proportion, a non-adjacent-area part weak coverage slice group proportion, a strong-adjacent-area part weak coverage slice group proportion, a weak-adjacent-area part weak coverage slice group proportion and a non-time-span filtering weak coverage slice group proportion.
Further, the monitoring program for local fault in the indoor distribution system when executed by the processor further implements the following operations:
the performance data comprises at least one of VoLTE voice traffic, VoLTE voice total traffic, VoLTE video total traffic, maximum number of RRC connections, number of times of successful RRC connection reestablishment, number of times of successful RRC connection establishment, number of times of RRC connection establishment requests, number of successful E-RAB establishment and number of E-RAB establishment requests.
Further, the monitoring program for local fault in the indoor distribution system when executed by the processor further implements the following operations:
acquiring weak coverage parameters and performance data of slice region groups of different sample cells;
and training and learning the weak coverage parameters and the performance data of the slice region group of the sample cell through a preset machine learning algorithm, and establishing a judgment model.
Further, the monitoring program for local fault in the indoor distribution system when executed by the processor further implements the following operations:
inputting the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell into a preset judgment model;
analyzing the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell according to the weak coverage parameters and the performance data of the slice area group of the sample cell in the judgment model, and determining the index score of the indoor sub-cell;
and judging whether the network of the indoor sub-cell in the indoor distribution system has a fault according to the index score of the indoor sub-cell.
Further, the monitoring program for local fault in the indoor distribution system when executed by the processor further implements the following operations:
judging whether the index score of the indoor sub-cell is lower than a fifth preset value or not;
and if so, the network of the indoor sub-cell has a fault and generates a fault report.
The specific embodiment of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the monitoring method for local faults in the indoor distribution system, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention essentially or contributing to the prior art can be embodied in the form of a software product, which is stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server or a network device, etc.) to execute the method according to the embodiments of the present invention.
The above description is only for the preferred embodiment of the present invention and is not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or applied directly or indirectly to other related arts, are included in the present patent protection.
Claims (10)
1. A method for monitoring local faults in an indoor distribution system is characterized by comprising the following steps:
acquiring first field intensity information of indoor sub-cells in the indoor distribution system, and combining second field intensity information meeting a first preset condition in the first field intensity information to form a slicing area, wherein the slicing area specifically comprises the following steps:
screening out the first field intensity information, and merging the field intensity information meeting the conditions to form a slicing area when the sampling duration time is longer than a first preset value and the difference value between the received signal code power of the main service cell and the received signal code power of the adjacent cell is lower than a second preset value;
merging the slice regions according to a second preset condition to form a slice region group, which specifically comprises:
combining slice regions, wherein the sampling duration is lower than a third preset value, and the difference values of the average received signal code power RSRP of the main serving cell and the average received signal code power RSRP of the adjacent cell are lower than a fourth preset value, so as to form a slice region group, wherein the third preset value is larger than the first preset value;
calculating a weak coverage parameter of the slice area group according to a preset rule, and acquiring performance data of the indoor sub-cells corresponding to the slice area group;
and judging whether the network of the indoor sub-cells in the indoor distribution system has faults or not according to the weak coverage parameters of the slice area group, the performance data of the corresponding indoor sub-cells and a preset judgment model.
2. The method for monitoring local faults in an indoor distribution system according to claim 1, wherein the step of obtaining first field strength information of indoor sub-cells in the indoor distribution system and combining second field strength information satisfying a first preset condition in the first field strength information to form a slice region includes:
acquiring first field intensity information of an indoor sub-cell in the indoor distribution system, wherein the first field intensity information comprises an International Mobile Subscriber Identity (IMSI), sampling time corresponding to the IMSI, received signal code power (RSRP) of a main service cell corresponding to the IMSI and received signal code power (RSRP) of an adjacent cell corresponding to the IMSI;
and acquiring second field intensity information, wherein the sampling duration time in the first field intensity information is higher than a first preset value, and the difference values of the RSRP of the main serving cell and the RSRP of the adjacent cell are lower than a second preset value, and combining the second field intensity information to form a slice area.
3. The method for monitoring local faults in an indoor distribution system according to claim 2, wherein the first field strength information further includes an ECI of a main serving cell and an ECI of a neighboring cell, and the step of combining the slice regions according to a second preset condition to form a slice region group includes:
calculating the average received signal code power RSRP of a main service cell of the slice area and the average received signal code power RSRP of an adjacent cell;
and combining the slice regions which have the same ECI of the main service cell and the same ECI of the neighboring cell, have the sampling duration time lower than a third preset value, and have the difference value between the average received signal code power (RSRP) of the main service cell and the average received signal code power (RSRP) of the neighboring cell lower than a fourth preset value to form a slice region group, wherein the third preset value is larger than the first preset value.
4. The method of claim 1, wherein the weak coverage parameters include a weak coverage slice group fraction, a no-neighbor part weak coverage slice group fraction, a strong-neighbor part weak coverage slice group fraction, a weak-neighbor part weak coverage slice group fraction, and a no-time-span filtering weak coverage slice group fraction.
5. The method for monitoring local failures in an indoor distribution system of claim 1, wherein the performance data includes at least one of VoLTE voice traffic, VoLTE voice total traffic, VoLTE video total traffic, maximum number of RRC connections, number of RRC connection re-establishment successes, number of RRC connection establishment requests, number of E-RAB establishment successes, and number of E-RAB establishment requests.
6. The method for monitoring local faults in an indoor distribution system according to claim 1, wherein before the step of determining whether the network of the indoor cells in the indoor distribution system has faults according to the weak coverage parameters of the slice area group, the performance data of the corresponding indoor cells, and a preset determination model, the method comprises:
acquiring weak coverage parameters and performance data of slice region groups of different sample cells;
and training and learning the weak coverage parameters and the performance data of the slice region group of the sample cell through a preset machine learning algorithm, and establishing a judgment model.
7. The method for monitoring local faults in an indoor distribution system according to claim 6, wherein the step of determining whether the network of the indoor sub-cells in the indoor distribution system has faults according to the weak coverage parameter of the slice area group, the performance data of the corresponding indoor sub-cells, and a preset determination model comprises:
inputting the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell into a preset judgment model;
analyzing the weak coverage parameters and the performance data of the slice area group of the indoor sub-cell according to the weak coverage parameters and the performance data of the slice area group of the sample cell in the judgment model, and determining the index score of the indoor sub-cell;
and judging whether the network of the indoor sub-cell in the indoor distribution system has a fault according to the index score of the indoor sub-cell.
8. The method for monitoring local faults in an indoor distribution system according to claim 7, wherein the step of judging whether the network of the indoor sub-cells in the indoor distribution system has faults according to the index scores of the indoor sub-cells comprises:
judging whether the index score of the indoor sub-cell is lower than a fifth preset value or not;
and if so, the network of the indoor sub-cell has a fault and generates a fault report.
9. A device for monitoring a local fault in an indoor distribution system, the device comprising: memory, a processor and a monitoring program for local faults in an indoor distribution system stored on the memory and executable on the processor, the monitoring program for local faults in an indoor distribution system implementing the steps of the method for monitoring local faults in an indoor distribution system as claimed in any one of claims 1 to 8 when executed by the processor.
10. A computer readable storage medium having stored thereon a monitoring program for local failure in an indoor distribution system, wherein the monitoring program for local failure in an indoor distribution system, when executed by a processor, implements the steps of the monitoring method for local failure in an indoor distribution system according to any one of claims 1 to 8.
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