Indoor distribution system monitoring method and device and nonvolatile storage medium

Abstract

The invention discloses an indoor distribution system monitoring method and device and a nonvolatile storage medium. The method comprises the following steps: determining standing-wave ratio data of an indoor distribution system; a first evaluation index of the indoor distribution system at the target time point is determined according to the standing-wave ratio data of the indoor distribution system in the first time period and the standing-wave ratio data of the indoor distribution system in the second time period, and the second time period is located in the first time period; determining a second evaluation index of the indoor distribution system at the target time point according to the standing-wave ratio data of the indoor distribution system in the third time period; and under the condition that at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal, determining that the indoor distribution system has a fault. According to the method and the device, the technical problem of low judgment accuracy caused by determining whether the indoor distribution system is abnormal or not by monitoring the related indexes of the resident users of the indoor distribution system in related technologies is solved.

Description

Technical Field

[0001] The present application relates to the field of wireless communications, and in particular, to a method, device and non-volatile storage medium for monitoring an indoor distribution system. Background Art

[0002] In the related art, when determining the working status of an indoor distribution system, a common method is to monitor the relevant indicators of the resident users of the indoor distribution system to determine whether the working status of the indoor distribution system is abnormal. However, the judgment accuracy of this method is low, resulting in failure to determine whether the indoor distribution system is abnormal in a timely manner, and there are cases of false alarms.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide an indoor distribution system monitoring method, device and non-volatile storage medium to at least solve the technical problem of low judgment accuracy caused by the related technology of determining whether the indoor distribution system is abnormal by monitoring relevant indicators of resident users of the indoor distribution system.

[0005] According to one aspect of an embodiment of the present application, a method for monitoring an indoor distribution system is provided, comprising: determining standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to indicate the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes a standing wave ratio monitoring value of the indoor distribution system collected at a preset collection frequency; determining a first evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to indicate a change trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included by the standing wave ratio data in the first time period, and the target time point is an end time point of the first time period and the second time period; determining a second evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a third time period, wherein the second evaluation index is used to indicate a degree of change of the standing wave ratio data of a physical link, and the target time point is an end time point of the third time period; and determining that a fault exists in the indoor distribution system when at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal.

[0006] Optionally, the standing wave ratio data of the indoor distribution system in the first time period includes: the standing wave ratio data of the indoor distribution system at each time point in the first time period, and the standing wave ratio data of the indoor distribution system in the second time period includes: the standing wave ratio data of the indoor distribution system at each time point in the second time period; determining the first evaluation index of the indoor distribution system based on the standing wave ratio data of the indoor distribution system in the first time period and the standing wave ratio data in the second time period includes: performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the first time period to obtain a first monitoring index, wherein the first monitoring index is used to represent the changing trend of the standing wave ratio data of the indoor distribution system in the first time period, and in the standing wave ratio data in the first time period, the closer the data is to the target time point, the greater the influence weight on the first monitoring index; performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the second time period to obtain a second monitoring index, wherein the second monitoring index is used to represent the changing trend of the standing wave ratio data of the indoor distribution system in the second time period, and in the standing wave ratio data in the second time period, the closer the data is to the target time point, the greater the influence weight on the second monitoring index; determining the first evaluation index based on the difference between the second monitoring index and the first monitoring index.

[0007] Optionally, the exponentially decreasing weighted moving average processing is implemented by the following formula:

[0008] EX N =[VSWR×2+EX N-1 ×(N-1)] / (N+1)

[0009] Wherein, N is each time point in the target time period, VSMR is the standing wave ratio monitoring value collected at the time point corresponding to N, the target time period is the first time period or the second time period, the value of N is any integer from 1 to M, M is the total number of time points in the target time period, and when the value of N is M, when the target time period is the first time period, EX N is the first monitoring indicator. When the target time period is the second time period, EX N It is the second monitoring indicator.

[0010] Optionally, determining the first evaluation indicator based on the difference between the first monitoring indicator and the second monitoring indicator includes: determining the indicator deviation value obtained by subtracting the first monitoring indicator from the second monitoring indicator corresponding to each time point in a fourth time period, wherein the target time point is the end time point of the fourth time period, and the duration of the fourth time period is shorter than the duration of the second time period; performing exponential smoothing on the indicator deviation values ​​corresponding to each time point in the fourth time period to obtain the deviation average value corresponding to the target time point; determining the first evaluation indicator corresponding to the target time point based on the difference obtained by subtracting the deviation average value from the indicator deviation value corresponding to the target time point.

[0011] Optionally, the first evaluation index is determined by the following formula:

[0012] P=K×(DIF-DEA)

[0013] Among them, P is the first evaluation index, DIF is the index deviation value corresponding to the target time point, DEA is the deviation average, and K is the preset coefficient.

[0014] Optionally, determining the second evaluation index of the indoor distribution system at the target time point based on the standing wave ratio data of the indoor distribution system in the third time period includes: determining the difference in standing wave ratio monitoring values ​​corresponding to any time point in the third time period except the time point of the initial moment, wherein the difference in standing wave ratio monitoring values ​​corresponding to any time point is the standing wave ratio monitoring value corresponding to any time point minus the standing wave ratio monitoring value of the previous time point immediately adjacent to the any time point; determining the second evaluation index based on the difference in standing wave ratio data corresponding to any time point except the time point of the initial moment.

[0015] Optionally, the second evaluation index is determined by the following formula:

[0016]

[0017] In the above formula, RSI N Indicates the second evaluation index, VSWR pos Indicates the sum of the standing wave ratio data differences whose calculation results are positive numbers, |VSWR nag | indicates the sum of the absolute values ​​of the standing wave ratio data differences whose calculation results are negative.

[0018] Optionally, the indoor distribution system monitoring method also includes: when the first evaluation index is greater than a first preset threshold, determining that the first evaluation index indicates an abnormality in the indoor distribution system; when the second evaluation index is greater than a second preset threshold and the standing wave ratio monitoring value at the target time point is greater than a third preset threshold, determining that the second evaluation index indicates an abnormality in the indoor distribution system.

[0019] According to another aspect of an embodiment of the present application, there is also provided an indoor distribution system monitoring device, comprising: a first processing module, used to determine standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to indicate the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes a standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency; a second processing module, used to determine a first evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to indicate a change trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included by the standing wave ratio data in the first time period, and the target time point is the end time point of the first time period and the second time period; a third processing module, used to determine a second evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a third time period, wherein the second evaluation index is used to indicate a degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; a fourth processing module, used to determine that there is a fault in the indoor distribution system when at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal.

[0020] According to another aspect of an embodiment of the present application, a non-volatile storage medium is provided, in which a program is stored, wherein when the program is running, a device where the non-volatile storage medium is located is controlled to execute an indoor distribution system monitoring method.

[0021] According to another aspect of an embodiment of the present application, there is also provided an electronic device, including: a memory and a processor, the processor being configured to run a program stored in the memory, wherein the indoor distribution system monitoring method is executed when the program is run.

[0022] According to another aspect of an embodiment of the present application, a computer program product is also provided, including a computer program, and the computer program implements an indoor distribution system monitoring method when executed by a processor.

[0023] In an embodiment of the present application, the standing wave ratio data of the indoor distribution system is determined, wherein the standing wave ratio data is used to indicate the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes the standing wave ratio monitoring value of the indoor distribution system collected at a preset collection frequency; a first evaluation index of the indoor distribution system at a target time point is determined based on the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to indicate the changing trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included in the standing wave ratio data in the first time period, and the target time point is the termination time point of the first time period and the second time period; a second evaluation index of the indoor distribution system at the target time point is determined based on the standing wave ratio data of the indoor distribution system in a third time period. The second evaluation indicator is used to indicate the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; when at least one of the first evaluation indicator and the second evaluation indicator indicates that the indoor distribution system is abnormal, a method for determining that there is a fault in the indoor distribution system is carried out, by determining the first evaluation indicator and the second evaluation indicator according to the standing wave ratio data of the indoor distribution system, and determining whether the indoor distribution system is abnormal based on the first evaluation indicator and the second evaluation indicator, thereby achieving the purpose of eliminating the interference of the coverage blind spot of the indoor distribution system or the user tidal effect on the judgment process, thereby achieving the technical effect of improving the judgment accuracy, and further solving the technical problem of low judgment accuracy caused by the related technology of determining whether the indoor distribution system is abnormal by monitoring the relevant indicators of the resident users of the indoor distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0025] Figure 1 It is a structural schematic diagram of a computer terminal (mobile terminal) provided according to an embodiment of the present application;

[0026] Figure 2 It is a flow chart of an indoor distribution system monitoring method provided according to an embodiment of the present application;

[0027] Figure 3 It is a schematic diagram of a first evaluation index and a second evaluation index when a trunk combiner of an indoor distribution system is abnormal according to an embodiment of the present application;

[0028] Figure 4 It is a schematic diagram of a first evaluation index and a second evaluation index when a power divider of an indoor distribution system is abnormal according to an embodiment of the present application;

[0029] Figure 5 It is a structural schematic diagram of an indoor distribution system monitoring device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] Indoor distribution system (hereinafter referred to as indoor distribution system) is the main means for operators to solve the problem of insufficient indoor deep coverage. There are a large number of couplers, ceiling antennas, and spliced ​​feeders in the indoor distribution system. If the connection between the components is loose or falls off or the system is damaged, the user experience will be seriously degraded.

[0033] Hospitals, large supermarkets, office buildings, and universities are typical deployment scenarios for indoor distribution systems, and the user tidal effect is serious. The above scenarios are more likely to damage the branches of the indoor distribution system during irregular renovations, which will degrade user perception. Since there are many branches in the indoor distribution system, the damage of a small number of branches has limited impact on the overall performance indicators of the signal source. In addition, the user tidal effect causes large fluctuations in the overall indicators of the signal source. Therefore, it is not easy for operators to judge whether the indoor distribution system is abnormal from the changes in common user performance indicators. Problems are often discovered only after user complaints.

[0034] At present, the commonly used monitoring method in the industry is to monitor the performance indicators of the indoor distribution system, such as the RSRP quality rate, PRB utilization rate, and number of users of resident users. However, as mentioned above, the damage of a small number of branches has limited impact on the overall performance indicators of the signal source, and the monitoring accuracy is low. In addition, monitoring the performance indicators of resident users to determine whether the indoor distribution system is abnormal is prone to misjudgment caused by the performance degradation of resident users due to the coverage blind spots of the indoor distribution system. For example, if an indoor distribution system has been built in a commercial building and the system is normal but there is a coverage blind spot area such as a conference room, the performance indicators will deteriorate sharply when the resident users enter the conference room for a meeting, which will cause the algorithm to misjudge. Therefore, how to accurately locate the failure of the indoor distribution system and restore / improve the network quality before the user complains is an urgent problem that operators need to solve.

[0035] Specifically, the indoor distribution system monitoring methods commonly used in the related art mainly have the following problems, which result in the inability to accurately determine whether the indoor distribution system is abnormal:

[0036] When a branch is damaged, users will be affected. However, since there are many branches in the indoor distribution system, it is difficult to judge whether the system is abnormal based on the fluctuation of the user performance indicators of the signal source. Usually, there is no obvious degradation of the indicators.

[0037] Monitor the performance indicators of resident users to determine whether the indoor distribution system is abnormal, but the indoor distribution system often has coverage blind spots. When users enter the coverage blind spots, the relevant performance indicators deteriorate, resulting in monitoring misjudgment. Even if the monitoring period is extended, the accuracy is still not significantly improved;

[0038] Commercial buildings, hospitals, and university teaching buildings / dormitories have serious tidal effects, performance data fluctuates greatly, and the reference value of performance indicator monitoring is low.

[0039] In order to solve the above problems, the embodiment of the present application adopts the monitoring idea of ​​relying on user performance indicators in the relevant technology, and switches to monitoring the physical link signal transmission quality of the signal source connected to the indoor distribution system, and determines whether the indoor distribution system is abnormal based on the monitoring results, thereby solving the above problems. The following is a detailed description.

[0040] According to an embodiment of the present application, a method embodiment of an indoor distribution system monitoring method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0041] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1FIG. 1 shows a hardware structure block diagram of a computer terminal (or mobile device) for implementing an indoor distribution system monitoring method. Figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (102a, 102b, ..., 102n are used to illustrate) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0042] It should be noted that the one or more processors 102 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10 (or mobile device). As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0043] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the indoor distributed system monitoring method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, realizing the above-mentioned indoor distributed system monitoring method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0044] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0045] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 (or mobile device).

[0046] Under the above operating environment, the embodiment of the present application provides a method for monitoring an indoor distribution system, such as Figure 2 As shown, the method comprises the following steps:

[0047] Step S202, determining standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to indicate the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes a standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency;

[0048] In the technical solution provided in step S202, the standing wave ratio data of the indoor distribution system includes the standing wave ratio data of the physical link of the signal source connected to the indoor distribution system, and the signal transmission quality of the indoor distribution system includes the signal transmission quality of the physical link.

[0049] It should be noted that the quality of physical link signal transmission is often measured by the standing wave ratio. When the standing wave ratio is 1, the impedance of the feeder and the antenna is completely matched, and all high-frequency energy is radiated by the antenna without energy reflection; when the standing wave ratio is greater than 1, part of the energy is reflected and converted into heat energy, causing the feeder to heat up. The larger the standing wave ratio, the worse the impedance matching, the more signal reflections, the smaller the antenna signal strength, and the more serious the degradation of communication quality. When the branches of the indoor distribution system are damaged and the connection between the coupler and the feeder / antenna is loose, the standing wave ratio increases. Therefore, the standing wave ratio can be used as an important indicator to monitor whether the indoor distribution system is faulty.

[0050] However, although the VSWR data itself can reflect the communication quality of the physical link, there are still the following problems when directly determining whether the indoor distribution system is abnormal based on whether the VSWR data increases:

[0051] The most common abnormal situation of indoor distribution system is that the branch of indoor distribution system is damaged. At this time, the standing wave ratio increases but does not reach the standing wave alarm threshold, and no standing wave alarm is generated. Since each signal source is installed in a different location and the indoor environment of the building is different, there is no unified standard for the standing wave ratio index of the indoor distribution system. For example, the standing wave ratio of a normal indoor distribution system may be the same as that of a faulty indoor distribution system. Therefore, it is impossible to directly judge whether the indoor distribution system is abnormal from the size of a standing wave ratio value that does not trigger a standing wave alarm.

[0052] Moreover, the standing wave ratio is not a fixed value. Even if the indoor distribution system is fault-free, the standing wave ratio will still fluctuate slightly. It is impossible to judge whether the indoor distribution system is abnormal by the traditional method of presetting the percentage threshold of the indicator change.

[0053] Therefore, in order to be able to accurately determine the abnormality of the indoor distribution system when the standing wave ratio rises but does not trigger the standing wave alarm when there is an abnormality in the indoor distribution system, and to avoid misjudgment caused by a small normal fluctuation of the standing wave ratio, the statistical characteristics of financial industry indicators can be used to perform long-term and short-term exponentially decreasing weighted moving smoothing on the standing wave ratio to form a moving average of similarities and differences, and then perform a secondary exponentially decreasing weighted moving smoothing on the discrete difference of the moving average of similarities and differences. The long-term here corresponds to the first time period in the embodiment of the present application, and the short-term corresponds to the second time period in the embodiment of the present application. In this way, by analyzing the discrete, aggregated and strong and weak characteristics of the standing wave ratio after processing, it is possible to accurately determine whether the indoor distribution system is abnormal.

[0054] In some embodiments of the present application, the preset collection frequency may be to collect the standing wave ratio monitoring value once at a fixed time every day, or to collect it once every several hours. In addition, the standing wave ratio monitoring value may also be regularly obtained from the network management through an API.

[0055] Step S204, determining a first evaluation index of the indoor distribution system at a target time point according to the standing wave ratio data of the indoor distribution system in the first time period and the standing wave ratio data in the second time period, wherein the first evaluation index is used to represent a change trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included in the standing wave ratio data in the first time period, and the target time point is the end time point of the first time period and the second time period;

[0056] In the technical solution provided in step S204, the standing wave ratio data of the indoor distribution system in the first time period includes: the standing wave ratio data of the indoor distribution system at each time point in the first time period, and the standing wave ratio data of the indoor distribution system in the second time period includes: the standing wave ratio data of the indoor distribution system at each time point in the second time period; determining the first evaluation index of the indoor distribution system based on the standing wave ratio data of the indoor distribution system in the first time period and the standing wave ratio data in the second time period includes: performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the first time period to obtain a first monitoring index, wherein the first monitoring index is used to represent the changing trend of the standing wave ratio data of the indoor distribution system in the first time period, and in the standing wave ratio data in the first time period, the closer the data is to the target time point, the greater the influence weight on the first monitoring index; performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the second time period to obtain a second monitoring index, wherein the second monitoring index is used to represent the changing trend of the standing wave ratio data of the indoor distribution system in the second time period, and in the standing wave ratio data in the second time period, the closer the data is to the target time point, the greater the influence weight on the second monitoring index; determining the first evaluation index based on the difference between the second monitoring index and the first monitoring index.

[0057] In some embodiments of the present application, the exponentially decreasing weighted moving average processing is implemented by the following formula:

[0058] EX N =[VSWR×2+EX N-1 ×(N-1)] / (N+1)

[0059] Wherein, N is each time point in the target time period, for example, the target time period can be N days or N hours. VSMR is the standing wave ratio monitoring value collected at the time point corresponding to N, the target time period is the first time period or the second time period, the value of N is any integer from 1 to M, M is the total number of time points in the target time period, and when the value of N is M, in the case where the target time period is the first time period, EX N is the first monitoring indicator. When the target time period is the second time period, EX N It is the second monitoring indicator.

[0060] By using the above formula to perform exponentially decreasing weighted moving average processing on the standing wave ratio data of the first time period and the second time period, the first monitoring index EX can be obtained: N_long and the second monitoring indicator EX N_short. And because different weights are given to historical data in the period according to N_long (the length of the first time period) and N_short (the length of the second time period) when performing exponentially decreasing weighted moving average processing, the impact of previous indicators is not discarded when focusing on recent indicators, so EX N_long 、EX N_short It can reflect the long-term and short-term trends of the standing wave ratio while maintaining a certain stability.

[0061] Specifically, taking M = 4 as an example, when N takes different values, EX N The values ​​are as follows:

[0062] EX1=(VSWR1×2+EX0×0) / 2=VSWR1

[0063]

[0064] VSWR1, VSWR2, VSWR3, and VSWR4 in the above formula are the standing wave ratio monitoring values ​​from the 1st to the 4th day respectively. It can be seen that the closer the time is, the greater the standing wave ratio weight is, and it can more timely reflect the recent changes in the standing wave ratio.

[0065] As an optional implementation, the step of determining the first evaluation indicator based on the difference between the first monitoring indicator and the second monitoring indicator includes: determining the indicator deviation value obtained by subtracting the first monitoring indicator from the second monitoring indicator corresponding to each time point in a fourth time period, wherein the target time point is the end time point of the fourth time period, and the duration of the fourth time period is shorter than the duration of the second time period; performing exponential smoothing on the indicator deviation values ​​corresponding to each time point in the fourth time period to obtain the deviation average value corresponding to the target time point; determining the first evaluation indicator corresponding to the target time point based on the difference obtained by subtracting the deviation average value from the indicator deviation value corresponding to the target time point.

[0066] In some embodiments of the present application, the first evaluation index is determined by the following formula:

[0067] P=K×(DIF-DEA)

[0068] Among them, P is the first evaluation index, DIF is the index deviation value corresponding to the target time point, DEA is the deviation average, and K is a preset coefficient, which can be set to 2, for example.

[0069] It should be noted that after obtaining the deviation value, the deviation value itself can intuitively reflect the relationship between the short-term and long-term trends of the standing wave ratio. When DIF>0, the short-term trend and long-term trend of the standing wave ratio diverge, and there may be problems with the indoor distribution system. However, due to the fluctuation of the standing wave ratio itself, it is impossible to simply judge whether the indoor distribution system is abnormal through the above relationship. Therefore, it is still necessary to calculate the first evaluation index P, also known as the standing wave ratio energy value, through the above formula.

[0070] In some embodiments of the present application, when calculating DEA, the exponentially decreasing weighted moving average processing formula used is as follows:

[0071] DEA N =[DIF×2+DEA N-1 ×(N-1)] / (N+1)

[0072] In the above formula, N represents the Nth time point in the fourth time period, DEA N represents the DEA corresponding to the Nth time point, DEA N-1 represents the DEA corresponding to the N-1th time point, and takes the value of 0 when N-1 does not exist. The value of N is any positive integer from 1 to O, and O is the total number of time points in the fourth time period.

[0073] Step S206, determining a second evaluation index of the indoor distribution system at a target time point according to the standing wave ratio data of the indoor distribution system in the third time period, wherein the second evaluation index is used to represent the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period;

[0074] In the technical solution provided in step S206, the step of determining the second evaluation index of the indoor distribution system at the target time point based on the standing wave ratio data of the indoor distribution system in the third time period includes: determining the difference in standing wave ratio monitoring values ​​corresponding to any time point other than the initial time point in the third time period, wherein the difference in standing wave ratio monitoring values ​​corresponding to any time point is the standing wave ratio monitoring value corresponding to any time point minus the standing wave ratio monitoring value of the previous time point immediately adjacent to the any time point; determining the second evaluation index based on the difference in standing wave ratio data corresponding to any time point other than the initial time point.

[0075] In some embodiments of the present application, the second evaluation index is determined by the following formula:

[0076]

[0077] In the above formula, RSI N Indicates the second evaluation index, VSWR pos Indicates the sum of the standing wave ratio data differences whose calculation results are positive numbers, |VSWR nag| indicates the sum of the absolute values ​​of the standing wave ratio data differences whose calculation results are negative.

[0078] It should be noted that for some indoor distribution systems, due to the aging of components, the standing wave ratio slowly increases over a long period of time. In this case, it is impossible to determine whether the system is faulty by monitoring the standing wave ratio energy value, that is, it is impossible to determine whether the system is faulty by the first evaluation index. At this time, it is necessary to determine the above second evaluation index by monitoring the relative strength of the long-term standing wave ratio, and judge whether the indoor distribution system is abnormal based on the second evaluation index. RSI N It can directly reflect the change of long-term standing wave ratio. N When it is higher than 80, it can be determined that the indoor distribution system is abnormal.

[0079] Step S208: When at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal, determine that there is a fault in the indoor distribution system.

[0080] In the technical solution provided in step S208, the indoor distribution system monitoring method also includes: when the first evaluation index is greater than the first preset threshold, determining that the first evaluation index indicates an abnormality in the indoor distribution system; when the second evaluation index is greater than the second preset threshold and the standing wave ratio monitoring value at the target time point is greater than the third preset threshold, determining that the second evaluation index indicates an abnormality in the indoor distribution system.

[0081] Specifically, the API can be used to implement regular standing wave ratio updates at the daily level or other periods, and the standing wave ratio average lines can be calculated based on N_long and N_short. The deviation values ​​of the average lines are then subjected to exponentially decreasing weighted moving smoothing for a period of N_shortshort, and then the standing wave ratio energy value is calculated. If the value is greater than the first preset threshold, it can be determined that the indoor distribution system is abnormal.

[0082] For non-mutational indoor distribution systems, the relative strength of the long-term standing wave ratio can be monitored to determine whether the indoor distribution system is abnormal. If the standing wave ratio is greater than the third preset threshold and the relative strength value, the indoor distribution system is determined to be abnormal.

[0083] In order to further demonstrate the monitoring effect of the indoor distribution system monitoring method provided by the present application, the present application also provides two examples of using the method provided by the present application to monitor the indoor distribution system. In these two examples, N_long and N_short are 7 and 3 respectively.

[0084] The schematic diagram of the first evaluation index and the second evaluation index corresponding to Example 1 is as follows Figure 3 As shown. Figure 3The upper part is a comparison diagram of DEA and DIF, the middle part is a diagram of the first evaluation index, and the lower part is a diagram of the second evaluation index. In this example, the standing wave value of the indoor distribution system continues to increase. Since there is no significant change, it is impossible to determine whether the system is abnormal by monitoring the standing wave ratio energy value. On the 12th day, the standing wave ratio was higher than 1.5 and the relative strength was higher than 80, both exceeding the threshold, so the indoor distribution system was judged to be abnormal. After on-site verification, it was confirmed that the dry combiner of the indoor distribution system could barely work but was faulty, resulting in an increase in standing wave ratio fluctuations. After rectification, RSRP increased from -105dbm to -95dbm, with obvious quality improvement effects.

[0085] The schematic diagram of the first evaluation index and the second evaluation index corresponding to Example 2 is as follows Figure 4 As shown. Figure 4 The top is a comparison diagram of DEA and DIF, the middle is a diagram of the first evaluation index, and the bottom is a diagram of the second evaluation index. The standing wave value of the indoor distributed system suddenly increased but did not trigger the standing wave alarm. The standing wave ratio energy value was higher than the threshold of 0.015, so it was determined that the indoor distributed system was abnormal. After on-site verification, the on-site power divider was faulty and needed to be replaced.

[0086] By adopting and determining the standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to represent the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes the standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency; determining a first evaluation index of the indoor distribution system at a target time point according to the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to represent the standing wave ratio data change trend of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included by the standing wave ratio data in the first time period, and the target time point is the end time point of the first time period and the second time period; determining a second evaluation index of the indoor distribution system at the target time point according to the standing wave ratio data of the indoor distribution system in a third time period, Among them, the second evaluation indicator is used to indicate the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; when at least one of the first evaluation indicator and the second evaluation indicator indicates that the indoor distribution system is abnormal, the method of determining whether there is a fault in the indoor distribution system is by determining the first evaluation indicator and the second evaluation indicator based on the standing wave ratio data of the indoor distribution system, and determining whether the indoor distribution system is abnormal based on the first evaluation indicator and the second evaluation indicator, thereby achieving the purpose of eliminating the interference of the coverage blind spots of the internal distribution system or the user tidal effect on the judgment process, thereby achieving the technical effect of improving the judgment accuracy, and further solving the technical problem of low judgment accuracy caused by the related technology of monitoring the relevant indicators of the resident users of the indoor distribution system to determine whether the indoor distribution system is abnormal.

[0087] In addition, in the indoor distribution system monitoring method provided in the embodiment of the present application, the statistical characteristics of financial industry indicators are used to first perform long-term and short-term exponentially decreasing weighted moving smoothing processing on the standing wave ratio to form similarity and difference moving averages, and then perform secondary exponentially decreasing weighted moving smoothing processing on the discrete differences of the similarity and difference moving averages. By analyzing the discrete, aggregated and strong and weak characteristics of the standing wave ratio after processing, automatic and accurate monitoring of indoor distribution faults is achieved, and the network quality of the indoor distribution system is restored before user complaints, thereby improving user satisfaction. And compared to monitoring schemes that require simultaneous monitoring of multiple different indicators and different long and short cycles, the method provided in the embodiment of the present application only requires one monitoring cycle, which shortens the data collection time.

[0088] The present application embodiment provides an indoor distribution system monitoring device, Figure 5 is a schematic diagram of the structure of the device. Figure 5 As shown, the device includes: a first processing module 50, which is used to determine the standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to indicate the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes the standing wave ratio monitoring value of the indoor distribution system collected according to the preset collection frequency; a second processing module 52, which is used to determine the first evaluation index of the indoor distribution system at a target time point according to the standing wave ratio data of the indoor distribution system in the first time period and the standing wave ratio data in the second time period, wherein the first evaluation index is used to indicate the change trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included by the standing wave ratio data in the first time period, and the target time point is the end time point of the first time period and the second time period; a third processing module 54, which is used to determine the second evaluation index of the indoor distribution system at the target time point according to the standing wave ratio data of the indoor distribution system in the third time period, wherein the second evaluation index is used to indicate the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; a fourth processing module 56, which is used to determine that there is a fault in the indoor distribution system when at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal.

[0089] In some embodiments of the present application, the standing wave ratio data of the indoor distribution system in the first time period includes: the standing wave ratio data of the indoor distribution system at each time point in the first time period, and the standing wave ratio data of the indoor distribution system in the second time period includes: the standing wave ratio data of the indoor distribution system at each time point in the second time period; the step of the second processing module 52 determining the first evaluation index of the indoor distribution system based on the standing wave ratio data of the indoor distribution system in the first time period and the standing wave ratio data in the second time period includes: performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the first time period to obtain a first monitoring index, wherein the first monitoring index is used to represent the changing trend of the standing wave ratio data of the indoor distribution system in the first time period, and in the standing wave ratio data in the first time period, the closer the data is to the target time point, the greater the influence weight on the first monitoring index; performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the second time period to obtain a second monitoring index, wherein the second monitoring index is used to represent the changing trend of the standing wave ratio data of the indoor distribution system in the second time period, and in the standing wave ratio data in the second time period, the closer the data is to the target time point, the greater the influence weight on the second monitoring index; determining the first evaluation index based on the difference between the second monitoring index and the first monitoring index.

[0090] In some embodiments of the present application, the exponentially decreasing weighted moving average processing is implemented by the following formula:

[0091] EX N =[VSWR×2+EX N-1 ×(N-1)] / (N+1)

[0092] Wherein, N is each time point in the target time period, VSMR is the standing wave ratio monitoring value collected at the time point corresponding to N, the target time period is the first time period or the second time period, the value of N is any integer from 1 to M, M is the total number of time points in the target time period, and when the value of N is M, when the target time period is the first time period, EX N is the first monitoring indicator. When the target time period is the second time period, EX N It is the second monitoring indicator.

[0093] In some embodiments of the present application, the step in which the second processing module 52 determines the first evaluation indicator based on the difference between the first monitoring indicator and the second monitoring indicator includes: determining the indicator deviation value obtained by subtracting the first monitoring indicator from the second monitoring indicator corresponding to each time point in the fourth time period, wherein the target time point is the end time point of the fourth time period, and the duration of the fourth time period is shorter than the duration of the second time period; performing exponential smoothing on the indicator deviation values ​​corresponding to each time point in the fourth time period to obtain the deviation average value corresponding to the target time point; determining the first evaluation indicator corresponding to the target time point based on the difference obtained by subtracting the deviation average value from the indicator deviation value corresponding to the target time point.

[0094] In some embodiments of the present application, the first evaluation index is determined by the following formula:

[0095] P=K×(DIF-DEA)

[0096] Among them, P is the first evaluation index, DIF is the index deviation value corresponding to the target time point, DEA is the deviation average, and K is the preset coefficient.

[0097] In some embodiments of the present application, the step in which the third processing module 54 determines the second evaluation index of the indoor distribution system at the target time point based on the standing wave ratio data of the indoor distribution system in the third time period includes: determining the difference in standing wave ratio monitoring values ​​corresponding to any time point other than the initial time point in the third time period, wherein the difference in standing wave ratio monitoring values ​​corresponding to any time point is the standing wave ratio monitoring value corresponding to any time point minus the standing wave ratio monitoring value of the previous time point immediately adjacent to the any time point; determining the second evaluation index based on the difference in standing wave ratio data corresponding to any time point other than the initial time point.

[0098] In some embodiments of the present application, the second evaluation index is determined by the following formula:

[0099]

[0100] In the above formula, RSI N Indicates the second evaluation index, VSWR pos Indicates the sum of the standing wave ratio data differences whose calculation results are positive numbers, |VSWR nag | indicates the sum of the absolute values ​​of the standing wave ratio data differences whose calculation results are negative.

[0101] In some embodiments of the present application, the fourth processing module 56 is also used to: when the first evaluation index is greater than the first preset threshold, determine that the first evaluation index indicates an abnormality in the indoor distribution system; when the second evaluation index is greater than the second preset threshold and the standing wave ratio monitoring value at the target time point is greater than the third preset threshold, determine that the second evaluation index indicates an abnormality in the indoor distribution system.

[0102] It should be noted that the various modules in the above-mentioned indoor distribution system monitoring device can be program modules (for example, a set of program instructions that implement a certain specific function) or hardware modules. For the latter, it can be expressed in the following forms, but is not limited to this: the expression form of each of the above-mentioned modules is a processor, or the functions of each of the above-mentioned modules are implemented by a processor.

[0103] According to an embodiment of the present application, a non-volatile storage medium is also provided, in which a program is stored, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the following indoor distribution system monitoring method: determining the standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to represent the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes the standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency; determining a first evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to represent the indoor distribution system. The standing wave ratio data change trend of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included in the standing wave ratio data in the first time period, and the target time point is the end time point of the first time period and the second time period; according to the standing wave ratio data of the indoor distribution system in the third time period, the second evaluation index of the indoor distribution system at the target time point is determined, wherein the second evaluation index is used to indicate the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; when at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal, it is determined that there is a fault in the indoor distribution system.

[0104] According to an embodiment of the present application, an electronic device is also provided, including: a memory and a processor, the processor is used to run a program stored in the memory, wherein the following indoor distribution system monitoring method is executed when the program is running: determining the standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to represent the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes the standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency; determining a first evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to represent the standing wave ratio data change trend of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included by the standing wave ratio data in the first time period, and the target time point is the end time point of the first time period and the second time period; determining a second evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a third time period, wherein the second evaluation index is used to represent the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; when at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal, it is determined that there is a fault in the indoor distribution system.

[0105] According to an embodiment of the present application, a computer program product is also provided, including a computer program, which implements the following indoor distribution system monitoring method when executed by a processor: determining standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to indicate the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes a standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency; determining a first evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to indicate a change trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included by the standing wave ratio data in the first time period, and the target time point is the end time point of the first time period and the second time period; determining a second evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a third time period, wherein the second evaluation index is used to indicate a degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; when at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal, determining that the indoor distribution system has a fault.

[0106] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0110] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the relevant technology or all or part of the technical solution can be expressed in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or CD-ROM and other media that can store program codes.

[0111] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for monitoring an indoor distribution system, characterized in that: include: Determine standing wave ratio data of the indoor distribution system, wherein the standing wave ratio data is used to represent the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes a standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency; Determining a first evaluation index of the indoor distribution system at a target time point according to the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to represent a change trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included in the standing wave ratio data in the first time period, and the target time point is the termination time point of the first time period and the second time period; Determine a second evaluation index of the indoor distribution system at the target time point according to the standing wave ratio data of the indoor distribution system in the third time period, wherein the second evaluation index is used to represent the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; When at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal, it is determined that a fault exists in the indoor distribution system.

2. The indoor distribution system monitoring method according to claim 1, characterized in that: The standing wave ratio data of the indoor distribution system in the first time period includes: the standing wave ratio data of the indoor distribution system at each time point in the first time period, and the standing wave ratio data of the indoor distribution system in the second time period includes: the standing wave ratio data of the indoor distribution system at each time point in the second time period; determining the first evaluation index of the indoor distribution system according to the standing wave ratio data of the indoor distribution system in the first time period and the standing wave ratio data in the second time period includes: Performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the first time period to obtain a first monitoring indicator, wherein the first monitoring indicator is used to represent a change trend of the standing wave ratio data of the indoor distribution system in the first time period, and among the standing wave ratio data in the first time period, the closer the data is to the target time point, the greater the influence weight on the first monitoring indicator; Performing exponentially decreasing weighted moving average processing on the standing wave ratio data in the second time period to obtain a second monitoring indicator, wherein the second monitoring indicator is used to represent a change trend of the standing wave ratio data of the indoor distribution system in the second time period, and among the standing wave ratio data in the second time period, the closer the data is to the target time point, the greater the influence weight on the second monitoring indicator; The first evaluation index is determined according to a difference between the second monitoring index and the first monitoring index.

3. The indoor distribution system monitoring method according to claim 2, characterized in that: The exponentially decreasing weighted moving average processing is implemented by the following formula: EX N =[VSWR×2+EX N-1 ×(N-1)] / (N+1) Wherein, N is each time point in the target time period, VSMR is the standing wave ratio monitoring value collected at the time point corresponding to N, the target time period is the first time period or the second time period, the value of N is any integer from 1 to M, M is the total number of time points in the target time period, and when the value of N is M, in the case where the target time period is the first time period, EX N is the first monitoring indicator, and when the target time period is the second time period, EX N This is the second monitoring indicator.

4. The indoor distribution system monitoring method according to claim 2, characterized in that: Determining the first evaluation indicator according to the difference between the first monitoring indicator and the second monitoring indicator includes: Determine an indicator deviation value obtained by subtracting the first monitoring indicator from the second monitoring indicator corresponding to each time point in a fourth time period, wherein the target time point is the end time point of the fourth time period, and the duration of the fourth time period is shorter than the duration of the second time period; Performing exponential smoothing on the indicator deviation values ​​corresponding to each time point in the fourth time period to obtain the deviation average value corresponding to the target time point; The first evaluation index corresponding to the target time point is determined according to a difference value obtained by subtracting the deviation average value from the index deviation value corresponding to the target time point.

5. The indoor distribution system monitoring method according to claim 4, characterized in that: The first evaluation index is determined by the following formula: P=K×(DIF-DEA) Among them, P is the first evaluation indicator, DIF is the indicator deviation value corresponding to the target time point, DEA is the deviation average value, and K is a preset coefficient.

6. The indoor distribution system monitoring method according to claim 1, characterized in that: Determining a second evaluation index of the indoor distribution system at the target time point according to the standing wave ratio data of the indoor distribution system in the third time period includes: Determine the difference of the standing wave ratio monitoring values ​​corresponding to any time point other than the initial time point within the third time period, wherein the difference of the standing wave ratio monitoring values ​​corresponding to the any time point is the standing wave ratio monitoring value corresponding to the any time point minus the standing wave ratio monitoring value at the previous time point immediately adjacent to the any time point; The second evaluation index is determined according to the standing wave ratio data difference corresponding to any time point except the initial time point.

7. The indoor distribution system monitoring method according to claim 6, characterized in that: The second evaluation index is determined by the following formula: In the above formula, RSI N The second evaluation index, VSWR pos The sum of the standing wave ratio data differences whose calculation results are positive numbers, |VSWR nag | represents the sum of the absolute values ​​of the standing wave ratio data differences whose calculation results are negative numbers.

8. The indoor distribution system monitoring method according to claim 1, characterized in that: The indoor distribution system monitoring method also includes: In the case where the first evaluation index is greater than a first preset threshold, determining that the first evaluation index indicates that the indoor distribution system is abnormal; When the second evaluation index is greater than a second preset threshold and the standing wave ratio monitoring value at the target time point is greater than a third preset threshold, it is determined that the second evaluation index indicates that the indoor distribution system is abnormal.

9. An indoor distribution system monitoring device, characterized in that: include: A first processing module is used to determine standing wave ratio data of an indoor distribution system, wherein the standing wave ratio data is used to represent the signal transmission quality of the indoor distribution system, and the standing wave ratio data includes a standing wave ratio monitoring value of the indoor distribution system collected according to a preset collection frequency; A second processing module is used to determine a first evaluation index of the indoor distribution system at a target time point based on the standing wave ratio data of the indoor distribution system in a first time period and the standing wave ratio data in a second time period, wherein the first evaluation index is used to represent a change trend of the standing wave ratio data of the indoor distribution system, the second time period is located in the first time period, and the standing wave ratio data in the second time period is included in the standing wave ratio data in the first time period, and the target time point is a termination time point of the first time period and the second time period; A third processing module is used to determine a second evaluation index of the indoor distribution system at the target time point according to the standing wave ratio data of the indoor distribution system in a third time period, wherein the second evaluation index is used to represent the degree of change of the standing wave ratio data of the physical link, and the target time point is the end time point of the third time period; The fourth processing module is used to determine that there is a fault in the indoor distribution system when at least one of the first evaluation index and the second evaluation index indicates that the indoor distribution system is abnormal.

10. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the indoor distribution system monitoring method according to any one of claims 1 to 8.

11. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is used to run a program stored in the memory, wherein the program, when running, executes the indoor distribution system monitoring method described in any one of claims 1 to 8.

12. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the indoor distribution system monitoring method according to any one of claims 1 to 8.

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