Fault monitoring method and device for indoor distribution system

Abstract

The invention discloses a fault monitoring method and device for an indoor distribution system, belongs to the technical field of wireless communication, and is used for solving the problems of high cost, poor real-time performance or poor fault judgment accuracy of a related fault monitoring technology for the indoor distribution system. The method comprises the following steps: acquiring network operation data of an indoor distribution system; the network operation data comprises at least one of a standing-wave ratio and a bottom noise value; based on the network operation data and a preset target threshold value, determining whether a first abnormal condition exists in the indoor distribution system; and if it is determined that the indoor distribution system has the first abnormal condition, giving an alarm to a to-be-alarmed object corresponding to the indoor distribution system, so that the to-be-alarmed object corresponding to the indoor distribution system is subjected to fault processing.

Description

Technical Field

[0001] The present application belongs to the field of wireless communication technology, and specifically relates to a method and device for fault monitoring of an indoor distribution system. Background Art

[0002] With the development of wireless communication technology, the frequencies used by communication systems are getting higher and higher. The increase in frequency increases the system bandwidth and greatly improves the user experience rate. However, high-frequency radio waves are seriously affected by obstruction and are difficult to penetrate buildings or even if they penetrate, the energy loss is large. Therefore, in order to improve the indoor coverage level, major operators have increased their investment in the construction of indoor distribution systems. There are two types of indoor distribution systems: active indoor distribution systems and passive indoor distribution systems. Since the advantages of active indoor distribution systems are large system capacity and monitorable equipment, and the disadvantages are high construction costs and high power consumption, operators only use active indoor distribution in high-value and high-traffic scenarios, such as airports, shopping malls, high-speed railways, etc. The advantage of passive indoor distribution systems is low cost, and they are usually used by operators in scenarios with small network capacity, such as residential communities. However, unlike active indoor distribution systems, passive indoor distribution systems cannot be monitored, so faults cannot be discovered and handled in a timely manner.

[0003] In order to realize fault monitoring of passive indoor distribution systems, related technologies use radio frequency identification RFID (Radio Frequency Identification, RFID) indoor monitoring system for monitoring, or use traditional indicator monitoring, such as collecting measurement reports (Measurement Report, MR).

[0004] However, the use of RFID indoor monitoring system for monitoring has the following three disadvantages: First, the construction cost is high, including equipment costs and construction costs; second, the difficulty of transformation is great. With the renovation of the owner and the overhaul of the operator, many antenna points of the old indoor system are inconsistent with the original design drawings, which brings inconvenience to the construction personnel to find the antenna. If the antenna is concealed, it will be even more difficult; third, the maintenance is difficult. The RFID indoor monitoring system is equivalent to adding an active system on the basis of the original indoor system. The failure rate of the active system is generally higher than that of the passive system. In addition, the RFID false alarm rate is high, which leads to the maintenance personnel to maintain the RFID system in addition to the original indoor system, increasing the maintenance workload and cost. The use of traditional indicator monitoring and manual screening leads to the following two problems: first, the real-time performance is poor. The time to find the fault depends entirely on the time to manually screen the network management indicators regularly or irregularly. If there is no screening indicator, the maintenance personnel may only find the fault when the customer complains, which has affected the user experience; second, manual screening is prone to omissions or errors, which leads to misjudgment of faults.

[0005] In other words, the related fault monitoring technology for indoor distribution systems has the problems of high cost, poor real-time performance or poor fault judgment accuracy. Summary of the invention

[0006] The embodiments of the present application provide a method and device for fault monitoring of an indoor distribution system, which can solve the problems of high cost, poor real-time performance or poor fault judgment accuracy in related fault monitoring technologies for indoor distribution systems.

[0007] In a first aspect, an embodiment of the present application provides a method for fault monitoring of an indoor distribution system, the method comprising: obtaining network operation data of the indoor distribution system; the network operation data comprising at least one of a standing wave ratio value and a noise floor value; based on the network operation data and a preset target threshold, determining whether the indoor distribution system has a first abnormal situation; if it is determined that the indoor distribution system has the first abnormal situation, issuing an alarm to an object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing.

[0008] In the second aspect, an embodiment of the present application provides a fault monitoring device for an indoor distribution system, the device comprising: an acquisition module, used to acquire network operation data of the indoor distribution system; the network operation data comprises at least one of a standing wave ratio value and a noise floor value; a first determination module, used to determine whether there is a first abnormal situation in the indoor distribution system based on the network operation data and a preset target threshold; an alarm module, used to issue an alarm to an object to be alarmed corresponding to the indoor distribution system if it is determined that the indoor distribution system has the first abnormal situation, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing.

[0009] In a third aspect, an embodiment of the present application provides an electronic device comprising: a processor; and a memory arranged to store computer executable instructions, wherein the executable instructions are configured to be executed by the processor, and the executable instructions include instructions for executing the fault monitoring method for an indoor distribution system as described in the first aspect.

[0010] In a fourth aspect, an embodiment of the present application provides a storage medium, wherein the storage medium is used to store computer-executable instructions, wherein the computer-executable instructions enable a computer to execute the fault monitoring method for an indoor distribution system as described in the first aspect.

[0011] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the fault monitoring method for the indoor distribution system as described in the first aspect.

[0012] In a sixth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the fault monitoring method for an indoor distribution system as described in the first aspect.

[0013] In an embodiment of the present application, network operation data of the indoor distribution system is obtained; the network operation data includes at least one of a standing wave ratio value and a noise floor value; then, based on the network operation data and a preset target threshold, it is determined whether the indoor distribution system has a first abnormal situation; if it is determined that the indoor distribution system has a first abnormal situation, an alarm is issued to the object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing. Compared with the related technology of using RFID indoor monitoring system for monitoring, the present application does not require additional construction and deployment of hardware, thus reducing costs; compared with the related technology of traditional indicator monitoring using manual screening, MR data is used, and the operator collects MR at a period ranging from one week to one month, resulting in the possibility that the fault may be discovered one month after it occurs. The present application selects at least one of the standing wave ratio value and the background noise value as the fault judgment indicator. The fault judgment indicator (network operation data of the indoor distribution system) meets the high correlation with the fault of the indoor distribution system, and the accuracy of the judgment result is high. Moreover, the fault judgment indicator can be obtained in a relatively short time, thereby meeting the real-time nature of fault judgment. On this basis, by automatically comparing and judging the fault judgment indicator with the preset target threshold, it is possible to determine in real time and automatically whether the indoor distribution system has a first abnormal situation, that is, determine whether an alarm needs to be issued, so that maintenance personnel can perform operation and maintenance in a timely manner, avoiding manual screening, and solving the problems of high cost, poor real-time nature or poor fault judgment accuracy in the related fault monitoring technology for the indoor distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of a method for monitoring a fault of an indoor distribution system provided in an embodiment of the present application; Figure 2 It is a schematic diagram of probability distribution of network operation data determined based on the 3σ principle provided in an embodiment of the present application; Figure 3 A flowchart of another method for monitoring faults of an indoor distribution system provided in an embodiment of the present application; Figure 4 It is a structural schematic diagram of a fault monitoring device for an indoor distribution system provided in an embodiment of the present application; Figure 5 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are 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 are within the scope of protection of this application.

[0016] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0017] The following is a detailed description of the method and device for monitoring the faults of an indoor distribution system provided by the embodiments of the present application through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0018] Figure 1 A method for monitoring a fault of an indoor distribution system provided by an embodiment of the present invention is shown. The method can be executed by an electronic device, and the electronic device may include: a server and / or a terminal device, wherein the terminal device may be, for example, a vehicle-mounted terminal or a mobile phone terminal. In other words, the method can be executed by software or hardware installed in the electronic device, and the method includes the following steps: S102: Acquire network operation data of the indoor distribution system; the network operation data includes at least one of a standing wave ratio value and a noise floor value.

[0019] In actual applications, the network operation data of the indoor distribution system can be derived from the network management data of one or more operators. Compared with the use of RFID indoor monitoring system in related technologies, this application does not require additional hardware deployment to obtain the network operation data of the indoor distribution system, which can be obtained from the operator's network management platform. The operator's network management platform will generate network management data in real time, and the network management data includes the network operation data of the indoor distribution system. Specifically, the operator uses the Radio Remote Unit (RRU) to perform standing wave detection on the indoor distribution system according to a preset period to obtain the standing wave ratio value. The network management platform will detect the background noise value of the indoor distribution system in real time.

[0020] Optionally, the network operation data of the indoor distribution system may be the network operation data of the indoor distribution system of one or more network management platforms, including but not limited to the network operation data of the indoor distribution system of the second generation wireless telephone technology (2G), the third generation mobile communication technology (3G), the fourth generation mobile communication technology (4G) or the fifth generation mobile communication technology (5G). Thus, judgment can be made through the network operation data of multiple operators and multiple network management platforms, reducing the possibility of misjudgment of faults.

[0021] Considering that only by selecting indicators that are closely related to the failure of the indoor distribution system can the failure of the indoor distribution system be truly reflected, thereby improving the operation and maintenance efficiency of the front-line personnel, on the contrary, selecting some indicators with less correlation with the failure of the indoor distribution system will reduce the accuracy of monitoring the indoor distribution system, resulting in a reduction in operation and maintenance efficiency. At the same time, considering that the smaller the time granularity of the selected indicators can be extracted, the more timely the failure of the indoor distribution system can be reflected. Therefore, at least one of the standing wave ratio value and the background noise value is selected as the fault judgment indicator. For the (voltage) standing wave ratio of the indoor distribution system, the operator's RRU itself can perform standing wave detection on the indoor distribution system with a shorter time as a preset cycle (such as 2 minutes), that is, the network management platform can obtain the standing wave ratio of an indoor distribution system every 2 minutes, and the background noise value of the indoor distribution system can be detected by the network management platform in real time. Therefore, at least one of the standing wave ratio value and the background noise value is selected as the fault judgment indicator, which not only meets the high correlation with the failure of the indoor distribution system, but also meets the real-time acquisition.

[0022] S104: Based on the network operation data and a preset target threshold, determine whether a first abnormal situation exists in the indoor distribution system.

[0023] Specifically, when the standing wave ratio value is greater than the preset second threshold value, and / or the background noise value is greater than the preset third threshold value, it is determined that the indoor distribution system has a first abnormality. That is to say, when the standing wave ratio value is greater than the preset second threshold value, it can be determined that the indoor distribution system has a first abnormality; when the background noise value is greater than the preset third threshold value, it can be determined that the indoor distribution system has a first abnormality; when the standing wave ratio value is greater than the preset second threshold value and the background noise value is greater than the preset third threshold value, it can be determined that the indoor distribution system has a first abnormality.

[0024] S106: If it is determined that the indoor distribution system has a first abnormal situation, an alarm is issued to an object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing.

[0025] In practical applications, programs can be written so that machines can perform the above steps instead of humans.

[0026] The fault monitoring method for an indoor distribution system provided by an embodiment of the present invention obtains network operation data of the indoor distribution system; the network operation data includes at least one of a standing wave ratio value and a noise floor value; then, based on the network operation data and a preset target threshold, it is determined whether there is a first abnormal situation in the indoor distribution system; if it is determined that there is a first abnormal situation in the indoor distribution system, an alarm is issued to an object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing. Compared with the related technology of using RFID indoor monitoring system for monitoring, the present application does not require additional construction and deployment of hardware, thus reducing costs; compared with the related technology of traditional indicator monitoring using manual screening, MR data is used, and the operator collects MR at a period ranging from one week to one month, resulting in the possibility that the fault may be discovered one month after it occurs. The present application selects at least one of the standing wave ratio value and the background noise value as the fault judgment indicator. The fault judgment indicator (network operation data of the indoor distribution system) meets the high correlation with the fault of the indoor distribution system, and the accuracy of the judgment result is high. Moreover, the fault judgment indicator can be obtained in a relatively short time, thereby meeting the real-time nature of fault judgment. On this basis, by automatically comparing and judging the fault judgment indicator with the preset target threshold, it is possible to determine in real time and automatically whether the indoor distribution system has a first abnormal situation, that is, determine whether an alarm needs to be issued, so that maintenance personnel can perform operation and maintenance in a timely manner, avoiding manual screening, and solving the problems of high cost, poor real-time nature or poor fault judgment accuracy in the related fault monitoring technology for the indoor distribution system.

[0027] In one implementation, after performing a first abnormality detection on the indoor distribution system based on the network operation data and the preset target threshold (ie, S104), the following steps A1 to A2 may also be performed: Step A1, based on the network operation data of the cell corresponding to the indoor distribution system and a preset abnormal value detection algorithm, determine whether the indoor distribution system has a second abnormal situation.

[0028] Specifically, there are various outlier detection algorithms, which can be classified by type, including distribution-based algorithms, density-based algorithms, distance-based algorithms, clustering-based algorithms, etc. The above-mentioned preset outlier detection algorithm can be any one or more types of algorithms mentioned above, or other algorithms, which are not specifically limited.

[0029] Step A2: if it is determined that the indoor distribution system has a second abnormal situation, the target cell with the second abnormal situation in the cell corresponding to the indoor distribution system is added to a preset abnormal fluctuation attention library.

[0030] In this embodiment, considering that in addition to the first abnormal situation that requires immediate maintenance, the indoor distribution system may also have a second abnormal situation, when it is determined through the preset outlier detection algorithm that the indoor distribution system has the second abnormal situation, the target cell with the second abnormal situation is added to the preset abnormal fluctuation attention library to facilitate subsequent observation or processing, so that it can be controlled and processed in time before the first abnormal situation occurs.

[0031] In one implementation, the network operation data includes a noise floor value. Before sending an alarm to the object to be alarmed corresponding to the indoor distribution system so that the object to be alarmed corresponding to the indoor distribution system performs fault processing (ie, S106), the following steps B1 to B2 may also be performed: Step B1, determining the correlation coefficient between the acquired preset information and the background noise value of the indoor distribution system.

[0032] The preset information includes one or more of the traffic volume of the network corresponding to the indoor distribution system, the number of users accessing the network, and the transmission power of the signal source corresponding to the indoor distribution system.

[0033] Specifically, the traffic volume of the network corresponding to the indoor distribution system may include one or more of the data flow and the number of voice communication services (ie, traffic volume) of the network.

[0034] Taking into account that intermodulation interference is closely related to the traffic volume of the network corresponding to the indoor distribution system, the number of users accessing the network and the transmission power of the signal source corresponding to the indoor distribution system (i.e. the above-mentioned preset information), by calculating whether the correlation coefficient between the preset information and the background noise value of the indoor distribution system is positively correlated, negatively correlated or unrelated, it is possible to determine whether the abnormal background noise value of the indoor distribution system (the first abnormal situation exists in the indoor distribution system) is caused by intermodulation interference.

[0035] In practical applications, the correlation coefficient between the acquired preset information and the background noise value of the indoor distribution system can be determined by the Pearson correlation coefficient.

[0036] For example, the correlation coefficient r is calculated by the following formula (1): (1) Among them, X is the noise floor value of the indoor distribution system, and Y is the preset information; is the average value of the background noise of the indoor distribution system. is the average value of the preset information; Step B2: determining the object to be warned corresponding to the indoor distribution system based on the correlation coefficient and a preset first threshold value.

[0037] Specifically, the object to be alerted corresponding to the indoor distribution system may be the operator corresponding to the indoor distribution system, or the owner of the indoor distribution system. The owner of the indoor distribution system may be the operator itself, the property of the building where the indoor distribution system is located, or a certain enterprise, etc., without specific limitation.

[0038] In this embodiment, by determining the relationship between the correlation coefficient of the background noise value of the indoor distribution system and the preset information and the preset first threshold, it is determined whether the abnormal background noise value of the indoor distribution system (the indoor distribution system has a first abnormal situation) is caused by intermodulation interference, and depending on whether it is suspected intermodulation interference, it is handed over to different responsible parties for processing.

[0039] In one implementation, the above-mentioned preset outlier detection algorithm includes the 3 times standard deviation 3σ principle. Based on the network operation data and the preset outlier detection algorithm, determining whether the indoor distribution system has a second abnormal situation (i.e., step A1) can be specifically performed as follows: step a1 to step a2: Step a1, determining whether the network operation data of the cell corresponding to the indoor distribution system is within a preset range.

[0040] Among them, the preset range is determined based on the 3σ principle.

[0041] Step a2: If not, determine that a second abnormal situation exists in the indoor distribution system.

[0042] For example, Figure 2 As shown, according to the 3σ principle, the interval (μ-3σ, μ+3σ) is determined as the preset range, where σ is the standard deviation of the network operation data (standing wave ratio value or noise floor value) of the cell, and μ is the mean of the network operation data of the cell; the network operation data outside the preset range is an outlier, and the probability of being an outlier is 0.27%.

[0043] Adding the target cell with the second abnormal situation in the cell corresponding to the indoor distribution system to the preset abnormal fluctuation attention library (i.e., step A2) can be specifically performed as the following step a3: Step a3, among the cells corresponding to the indoor distribution system, the target cells whose corresponding network operation data are not within the preset range are added to the preset abnormal fluctuation attention library.

[0044] Continuing with the above example, among the cells corresponding to the indoor distribution system, the cells whose corresponding network operation data are not in the interval of (μ-3σ,μ+3σ), namely the target cells, are added to the preset abnormal fluctuation attention library.

[0045] In one implementation, based on the correlation coefficient and the preset first threshold, determining the object to be warned corresponding to the indoor distribution system (ie, step B2) can be specifically performed as follows: step b1 to step b2: Step b1: when the correlation coefficient is greater than a preset first threshold, determining that the object to be warned corresponding to the indoor distribution system is the owner of the indoor distribution system.

[0046] An alarm is then sent to the owner of the indoor distribution system so that the owner can handle the fault.

[0047] Step b2: when the correlation coefficient is less than or equal to a preset first threshold, determining that the object to be alerted corresponding to the indoor distribution system is the operator corresponding to the indoor distribution system.

[0048] Subsequently, an alarm is sent to the operator corresponding to the indoor distribution system so that the operator can handle the fault.

[0049] In practical applications, the first threshold value can be taken within a certain range. The larger the preset first threshold value is, the higher the accuracy of judging whether the abnormal background noise value of the indoor distribution system is caused by intermodulation interference.

[0050] In this embodiment, when the correlation coefficient is greater than a preset first threshold, it is considered that the abnormal noise background value (the first abnormal situation exists in the indoor distribution system) is suspected to be caused by intermodulation interference, and an alarm is issued to the owner of the indoor distribution system so that the owner can handle the fault; when the correlation coefficient is less than or equal to the preset first threshold, it is considered that the abnormal noise background value (the first abnormal situation exists in the indoor distribution system) is not caused by intermodulation interference, and an alarm is issued to the operator of the indoor distribution system so that the operator can handle the fault.

[0051] In one implementation, the target threshold includes one or more of a second threshold corresponding to the standing wave ratio value and a third threshold corresponding to the background noise value; based on the network operation data and the preset target threshold, determining whether the indoor distribution system has a first abnormal situation (i.e., S104) can be specifically performed as follows: Steps C1 to C2: Step C1, determining whether the network operation data is greater than a preset target threshold.

[0052] Step C2: if the standing wave ratio value is greater than a preset second threshold value, and / or the background noise value is greater than a preset third threshold value, it is determined that a first abnormality exists in the indoor distribution system.

[0053] Based on the network operation data of the cell corresponding to the indoor distribution system and the preset outlier detection algorithm, it is determined whether the indoor distribution system has a second abnormal situation (i.e., step A1), which can be specifically performed as follows: step C3: Step C3, if the standing wave ratio value is less than or equal to the preset second threshold, and / or the background noise value is less than or equal to the preset third threshold, then based on the network operation data of the cell corresponding to the indoor distribution system and the preset outlier detection algorithm, determine whether there is a second abnormal situation in the indoor distribution system.

[0054] That is to say, when the standing wave ratio value is less than or equal to the preset second threshold, it can be determined whether the indoor distribution system has a second abnormal situation based on the network operation data of the cell corresponding to the indoor distribution system and the preset outlier detection algorithm; when the background noise value is less than or equal to the preset third threshold, it can be determined whether the indoor distribution system has a second abnormal situation based on the network operation data of the cell corresponding to the indoor distribution system and the preset outlier detection algorithm; when the standing wave ratio value is less than or equal to the preset second threshold and the background noise value is less than or equal to the preset third threshold, it can be determined whether the indoor distribution system has a second abnormal situation based on the network operation data of the cell corresponding to the indoor distribution system and the preset outlier detection algorithm.

[0055] In practical applications, the second threshold and the third threshold can be set within a certain range. The smaller the preset second threshold and the third threshold are, the higher the requirements for the indoor distribution system are.

[0056] In one implementation, the network operation data includes a standing wave ratio value; issuing an alarm to an object to be alarmed corresponding to the indoor distribution system so that the object to be alarmed corresponding to the indoor distribution system performs fault processing (ie, S106), which can be specifically performed as follows: step D1: Step D1, sending an alarm to the owner of the indoor distribution system so that the owner can handle the fault.

[0057] Figure 3 FIG. 1 is a flow chart of another method for monitoring faults in an indoor distribution system provided by an embodiment of the present application. Figure 3 As shown, the method includes: Step 302: Obtain the standing wave ratio and noise floor value of the indoor distribution system.

[0058] Among them, the network operation data of the indoor distribution system can come from the network management data of multiple network management platforms (2 / 3 / 4 / 5G) of multiple operators.

[0059] Step 304, determining whether the standing wave ratio value of the indoor distribution system is greater than a preset second threshold.

[0060] Step 306: If the standing wave ratio of the indoor distribution system is greater than a preset second threshold, it is determined that a first abnormality exists in the indoor distribution system, and an alarm is issued to the owner of the indoor distribution system so that the owner can handle the fault.

[0061] It should be noted that, for the above steps 304 and 306 and the following steps 308 to 318, the execution order is not limited and they may be executed simultaneously.

[0062] Step 308: determine whether the background noise value of the indoor distribution system is greater than a preset third threshold.

[0063] Step 310: If the background noise value of the indoor distribution system is greater than a preset third threshold, it is determined that a first abnormality exists in the indoor distribution system, and a correlation coefficient between the acquired preset information and the background noise value of the indoor distribution system is determined.

[0064] Among them, the preset information includes one or more of the business volume of the network corresponding to the indoor distribution system, the number of users accessing the network, and the transmission power of the signal source corresponding to the indoor distribution system; the business volume of the network corresponding to the indoor distribution system may include one or more of the data traffic and the number of voice communication services of the network.

[0065] Step 312: When the correlation coefficient is greater than a preset first threshold, an alarm is issued to the owner of the indoor distribution system so that the owner can handle the fault.

[0066] Step 314: When the correlation coefficient is less than or equal to a preset first threshold, an alarm is sent to an operator corresponding to the indoor distribution system so that the operator can handle the fault.

[0067] Step 316: If the background noise value of the indoor distribution system is less than or equal to the preset third threshold, and / or the background noise value is less than or equal to the preset third threshold, then based on the 3σ principle, and the standing wave ratio value of the cell corresponding to the indoor distribution system, and / or the background noise value, determine whether the indoor distribution system has a second abnormal situation.

[0068] Step 318: If it is determined that the indoor distribution system has a second abnormal situation, the target cell with the second abnormal situation in the cell corresponding to the indoor distribution system is added to a preset abnormal fluctuation attention library.

[0069] Exemplarily, the above-mentioned standing wave ratio value can be the standing wave ratio value of the base station at the hourly level. The arithmetic average of the 30 voltage standing wave ratio values ​​collected by the RRU every hour is the hourly voltage standing wave ratio of the base station. The preset second threshold is 1.5; the above-mentioned noise floor value can be the hourly noise floor value of the cell level. Taking 4 / 5G as an example, the operator believes that when the cell-level hourly noise floor value is higher than -110dBm, it affects the cell performance. In order to leave a fluctuation margin, the preset third threshold can be -108dBm; the preset first threshold is 0.5; the preset information is the data traffic of the network corresponding to the base station cell. The obtained cell-level hourly noise floor value (i.e., the carrier average noise interference in the table below) and the data traffic of the network corresponding to the base station cell (i.e., the total traffic in the table below) are as shown in the following table:

[0070] According to the above formula (1), the correlation coefficient between the preset information and the background noise value is calculated to be 0.94, which is greater than the preset first threshold value of 0.5. Therefore, it is determined that the abnormal background noise value is suspected to be caused by intermodulation interference, and an alarm is issued to the owner of the indoor distribution system so that the owner of the indoor distribution system can handle the fault.

[0071] It should be noted that the above examples do not constitute a specific limitation on the present embodiment. The above preset first threshold, second threshold and third threshold are not limited to the above values, but can also be other values. The above all use hourly data, and can also use minute-level data such as 15 minutes, day-level data such as one day, and so on, data of other time granularities.

[0072] The specific process from step 302 to step 318 has been described in detail in the above embodiment and will not be repeated here.

[0073] In this embodiment, the network operation data of the indoor distribution system is obtained; the network operation data includes at least one of the standing wave ratio value and the noise floor value; then, based on the network operation data and the preset target threshold, it is determined whether the indoor distribution system has a first abnormal situation; if it is determined that the indoor distribution system has a first abnormal situation, an alarm is issued to the object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing. Compared with the related technology of using RFID indoor monitoring system for monitoring, the present application does not require additional construction and deployment of hardware, thus reducing costs; compared with the related technology of traditional indicator monitoring using manual screening, MR data is used, and the operator collects MR at a period ranging from one week to one month, resulting in the possibility that the fault may be discovered one month after it occurs. The present application selects at least one of the standing wave ratio value and the background noise value as the fault judgment indicator. The fault judgment indicator (network operation data of the indoor distribution system) meets the high correlation with the fault of the indoor distribution system, and the accuracy of the judgment result is high. Moreover, the fault judgment indicator can be obtained in a relatively short time, thereby meeting the real-time nature of fault judgment. On this basis, by automatically comparing and judging the fault judgment indicator with the preset target threshold, it is possible to determine in real time and automatically whether the indoor distribution system has a first abnormal situation, that is, determine whether an alarm needs to be issued, so that maintenance personnel can perform operation and maintenance in a timely manner, avoiding manual screening, and solving the problems of high cost, poor real-time nature or poor fault judgment accuracy in the related fault monitoring technology for the indoor distribution system.

[0074] Corresponding to the method for monitoring the fault of an indoor distribution system provided in the above embodiment, based on the same technical concept, an embodiment of the present invention further provides a device for monitoring the fault of an indoor distribution system. Figure 4 is a schematic diagram of a fault monitoring device for an indoor distribution system according to an embodiment of the present invention, wherein the fault monitoring device for an indoor distribution system is used to perform Figures 1 to 3 Described in the indoor distribution system fault monitoring method, such as Figure 4 As shown, the fault monitoring device for the indoor distribution system includes: an acquisition module 410, a first determination module 420 and an alarm module 430.

[0075] An acquisition module 410 is used to acquire network operation data of the indoor distribution system; the network operation data includes at least one of a standing wave ratio value and a noise floor value; A first determination module 420, configured to determine whether a first abnormality exists in the indoor distribution system based on network operation data and a preset target threshold; The alarm module 430 is used to send an alarm to the object to be alarmed corresponding to the indoor distribution system if it is determined that the indoor distribution system has a first abnormal situation, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing.

[0076] In one implementation, the fault monitoring device for the indoor distribution system further includes a second determination module 440. The second determination module 440 is used to: If it is determined that the indoor distribution system does not have the first abnormal situation, determining whether the indoor distribution system has a second abnormal situation based on the network operation data of the cell corresponding to the indoor distribution system and a preset abnormal value detection algorithm; If it is determined that the indoor distribution system has a second abnormal situation, the target cell with the second abnormal situation in the cell corresponding to the indoor distribution system is added to a preset abnormal fluctuation attention library.

[0077] In one implementation, the network operation data includes a noise floor value; and the fault monitoring device for the indoor distribution system further includes a third determination module 450. The third determination module 450 is used to: Determine a correlation coefficient between the acquired preset information and the background noise value of the indoor distribution system; wherein the preset information includes one or more of the traffic volume of the network corresponding to the indoor distribution system, the number of users accessing the network, and the transmission power of the signal source corresponding to the indoor distribution system; Based on the correlation coefficient and a preset first threshold, the object to be warned corresponding to the indoor distribution system is determined.

[0078] In one implementation, the above-mentioned preset outlier detection algorithm includes the 3σ principle. The second determination module 440 is specifically used for: Determine whether the network operation data of the cell corresponding to the indoor distribution system is within a preset range; wherein the preset range is determined based on the 3σ principle; If not, it is determined that the indoor distribution system has a second abnormal situation, and the target cells whose corresponding network operation data are not within the preset range in the cells corresponding to the indoor distribution system are added to the preset abnormal fluctuation attention library.

[0079] In one implementation, the third determining module 450 is specifically configured to: When the correlation coefficient is greater than a preset first threshold, determining that the object to be warned corresponding to the indoor distribution system is the owner of the indoor distribution system; When the correlation coefficient is less than or equal to a preset first threshold, it is determined that the object to be alerted corresponding to the indoor distribution system is an operator corresponding to the indoor distribution system.

[0080] In one implementation, the target threshold includes one or more of a second threshold corresponding to the standing wave ratio value and a third threshold corresponding to the background noise value; the first determination module 420 is specifically configured to: Determine whether the network operation data is greater than the preset target threshold; If the standing wave ratio value is greater than a preset second threshold value, and / or the background noise value is greater than a preset third threshold value, it is determined that a first abnormality exists in the indoor distribution system; The second determining module 440 is specifically configured to: If the standing wave ratio value is less than or equal to the preset second threshold, and / or the background noise value is less than or equal to the preset third threshold, it is determined whether there is a second abnormal situation in the indoor distribution system based on the network operation data of the cell corresponding to the indoor distribution system and the preset outlier detection algorithm.

[0081] In one implementation, the network operation data includes a standing wave ratio value. The alarm module 430 is specifically used to: An alarm is sent to the owner of the indoor distribution system so that the owner can handle the fault.

[0082] In this embodiment, the network operation data of the indoor distribution system is obtained; the network operation data includes at least one of the standing wave ratio value and the noise floor value; then, based on the network operation data and the preset target threshold, it is determined whether the indoor distribution system has a first abnormal situation; if it is determined that the indoor distribution system has a first abnormal situation, an alarm is issued to the object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing. Compared with the related technology of using RFID indoor monitoring system for monitoring, the present application does not require additional construction and deployment of hardware, thus reducing costs; compared with the related technology of traditional indicator monitoring using manual screening, MR data is used, and the operator collects MR at a period ranging from one week to one month, resulting in the possibility that the fault may be discovered one month after it occurs. The present application selects at least one of the standing wave ratio value and the background noise value as the fault judgment indicator. The fault judgment indicator (network operation data of the indoor distribution system) meets the high correlation with the fault of the indoor distribution system, and the accuracy of the judgment result is high. Moreover, the fault judgment indicator can be obtained in a relatively short time, thereby meeting the real-time nature of fault judgment. On this basis, by automatically comparing and judging the fault judgment indicator with the preset target threshold, it is possible to determine in real time and automatically whether the indoor distribution system has a first abnormal situation, that is, determine whether an alarm needs to be issued, so that maintenance personnel can perform operation and maintenance in a timely manner, avoiding manual screening, and solving the problems of high cost, poor real-time nature or poor fault judgment accuracy in the related fault monitoring technology for the indoor distribution system.

[0083] Those skilled in the art should understand that the above-mentioned fault monitoring device for the indoor distribution system can be used to implement the above-mentioned fault monitoring method for the indoor distribution system, and the detailed description thereof should be similar to the description of the above-mentioned method part. To avoid repetition, it will not be repeated here.

[0084] Based on the same technical concept, an embodiment of the present application further provides an electronic device, which is used to execute the above-mentioned method for monitoring the fault of the indoor distribution system. Figure 5 A schematic diagram of the structure of an electronic device for implementing various embodiments of the present application. The electronic device may have relatively large differences due to different configurations or performances, and may include a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call a computer program stored in the memory 530 and executable on the processor 510 to perform the following steps: Acquire network operation data of the indoor distribution system; the network operation data includes at least one of a standing wave ratio value and a background noise value; Based on the network operation data and a preset target threshold, determining whether a first abnormal condition exists in the indoor distribution system; If it is determined that the indoor distribution system has a first abnormal situation, an alarm is issued to an object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing.

[0085] In this embodiment, the network operation data of the indoor distribution system is obtained; the network operation data includes at least one of the standing wave ratio value and the noise floor value; then, based on the network operation data and the preset target threshold, it is determined whether the indoor distribution system has a first abnormal situation; if it is determined that the indoor distribution system has a first abnormal situation, an alarm is issued to the object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing. Compared with the related technology of using RFID indoor monitoring system for monitoring, the present application does not require additional construction and deployment of hardware, thus reducing costs; compared with the related technology of traditional indicator monitoring using manual screening, MR data is used, and the operator collects MR at a period ranging from one week to one month, resulting in the possibility that the fault may be discovered one month after it occurs. The present application selects at least one of the standing wave ratio value and the background noise value as the fault judgment indicator. The fault judgment indicator (network operation data of the indoor distribution system) meets the high correlation with the fault of the indoor distribution system, and the accuracy of the judgment result is high. Moreover, the fault judgment indicator can be obtained in a relatively short time, thereby meeting the real-time nature of fault judgment. On this basis, by automatically comparing and judging the fault judgment indicator with the preset target threshold, it is possible to determine in real time and automatically whether the indoor distribution system has a first abnormal situation, that is, determine whether an alarm needs to be issued, so that maintenance personnel can perform operation and maintenance in a timely manner, avoiding manual screening, and solving the problems of high cost, poor real-time nature or poor fault judgment accuracy in the related fault monitoring technology for the indoor distribution system.

[0086] The specific execution steps can refer to the various steps of the above-mentioned embodiment of the fault monitoring method for the indoor distribution system, and can achieve the same technical effect. To avoid repetition, they will not be repeated here.

[0087] It should be noted that the electronic devices in the embodiments of the present application include: servers, terminals, or other devices except terminals.

[0088] The above electronic device structure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, the input unit may include a graphics processing unit (GPU) and a microphone, and the display unit may be configured with a display panel in the form of a liquid crystal display, an organic light-emitting diode, etc. The user input unit includes a touch panel and at least one of other input devices. The touch panel is also called a touch screen. Other input devices may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0089] The memory can be used to store software programs and various data. The memory may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory may include a volatile memory or a non-volatile memory, or the memory may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DRRAM).

[0090] The processor may include one or more processing units; optionally, the processor integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to the operating system, user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor.

[0091] An embodiment of the present application also provides a storage medium, on which computer executable instructions are stored. When the computer executable instructions are executed by a processor, the various processes of the above-mentioned embodiment of the fault monitoring method for an indoor distribution system can be implemented, and the same technical effect can be achieved. To avoid repetition, they will not be repeated here.

[0092] The processor is the processor in the electronic device described in the above embodiment. The storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0093] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the fault monitoring method for the indoor distribution system, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0094] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0095] An embodiment of the present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the various processes of the above-mentioned embodiment of the fault monitoring method for an indoor distribution system and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0096] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include multitasking and parallel processing according to the functions involved, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0097] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0098] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A method for monitoring faults in an indoor distribution system, characterized in that: The method comprises: Acquire network operation data of the indoor distribution system; the network operation data includes at least one of a standing wave ratio value and a noise floor value; Based on the network operation data and a preset target threshold, determining whether the indoor distribution system has a first abnormal condition; If it is determined that the indoor distribution system has the first abnormal situation, an alarm is issued to the object to be alarmed corresponding to the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing.

2. The method according to claim 1, characterized in that After performing a first abnormal situation detection on the indoor distribution system based on the network operation data and the preset target threshold, the method further includes: Determining whether the indoor distribution system has a second abnormal situation based on the network operation data of the cell corresponding to the indoor distribution system and a preset abnormal value detection algorithm; If it is determined that the indoor distribution system has the second abnormal situation, the target cell having the second abnormal situation in the cell corresponding to the indoor distribution system is added to a preset abnormal fluctuation attention library.

3. The method according to claim 1, characterized in that The network operation data includes the background noise value; before issuing an alarm to the object to be alarmed corresponding to the indoor distribution system so that the object to be alarmed corresponding to the indoor distribution system performs fault processing, it also includes: Determine a correlation coefficient between the acquired preset information and the background noise value of the indoor distribution system; wherein the preset information includes one or more of the traffic volume of the network corresponding to the indoor distribution system, the number of users accessing the network, and the transmission power of the signal source corresponding to the indoor distribution system; Based on the correlation coefficient and a preset first threshold, the object to be warned corresponding to the indoor distribution system is determined.

4. The method according to claim 2, characterized in that: The preset outlier detection algorithm includes a 3 times standard deviation 3σ principle; the determining whether the indoor distribution system has a second abnormal situation based on the network operation data and the preset outlier detection algorithm includes: Determine whether the network operation data of the cell corresponding to the indoor distribution system is within a preset range; wherein the preset range is determined based on the 3σ principle; If not, determining that the indoor distribution system has the second abnormal condition; The step of adding the target cell having the second abnormal situation in the cell corresponding to the indoor distribution system to a preset abnormal fluctuation attention library includes: The target cells corresponding to the cells of the indoor distribution system, whose corresponding network operation data are not within the preset range, are added to the preset abnormal fluctuation attention library.

5. The method according to claim 3, characterized in that: The determining the object to be warned corresponding to the indoor distribution system based on the correlation coefficient and a preset first threshold value includes: When the correlation coefficient is greater than the first preset threshold, determining that the object to be warned corresponding to the indoor distribution system is the owner of the indoor distribution system; When the correlation coefficient is less than or equal to the first preset threshold, it is determined that the object to be alerted corresponding to the indoor distribution system is an operator corresponding to the indoor distribution system.

6. The method according to claim 2 or 4, characterized in that: The target threshold includes one or more of a second threshold corresponding to the standing wave ratio value and a third threshold corresponding to the background noise value; and determining whether the indoor distribution system has a first abnormality based on the network operation data and the preset target threshold includes: Determine whether the network operation data is greater than the preset target threshold; If the standing wave ratio value is greater than the preset second threshold value, and / or the background noise value is greater than the preset third threshold value, it is determined that the indoor distribution system has the first abnormal situation; The determining whether the indoor distribution system has a second abnormal situation based on the network operation data of the cell corresponding to the indoor distribution system and a preset abnormal value detection algorithm includes: If the standing wave ratio value is less than or equal to the preset second threshold, and / or the background noise value is less than or equal to the preset third threshold, then based on the network operation data of the cell corresponding to the indoor distribution system and the preset outlier detection algorithm, it is determined whether the indoor distribution system has a second abnormal situation.

7. The method according to claim 1, characterized in that The network operation data includes the standing wave ratio value; the sending of an alarm to the object to be alarmed corresponding to the indoor distribution system so that the object to be alarmed corresponding to the indoor distribution system performs fault processing, including: An alarm is issued to the owner of the indoor distribution system so that the owner can handle the fault.

8. A fault monitoring device for an indoor distribution system, characterized in that: The device comprises: An acquisition module, used to acquire network operation data of the indoor distribution system; the network operation data includes at least one of a standing wave ratio value and a noise floor value; A first determination module, configured to determine whether a first abnormal situation exists in the indoor distribution system based on the network operation data and a preset target threshold; The alarm module is used to send an alarm to the object to be alarmed corresponding to the indoor distribution system if it is determined that the first abnormal situation exists in the indoor distribution system, so that the object to be alarmed corresponding to the indoor distribution system performs fault processing.

9. An electronic device, characterized in that: include: processor; as well as A memory arranged to store computer executable instructions, wherein the executable instructions are configured to be executed by the processor, and the executable instructions include instructions for executing the fault monitoring method for an indoor distribution system according to any one of claims 1-7.

10. A storage medium, characterized in that: The storage medium is used to store computer-executable instructions, and the computer-executable instructions enable a computer to execute the fault monitoring method for an indoor distribution system as described in any one of claims 1-7.

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