Passive room monitoring method, system, electronic device and readable storage medium

Abstract

The present application discloses a passive indoor distributed monitoring method, system, electronic device and readable storage medium, which are applied to an indoor distributed monitoring network management platform. The method includes: obtaining index data of each device in the passive indoor distributed system; performing fault analysis on the index data of each device through a machine learning model to generate alarm information; marking the alarm information in a topological positioning map corresponding to the passive indoor distributed system or a plane distribution map corresponding to the passive indoor distributed system; wherein the topological positioning map corresponding to the passive indoor distributed system is used to characterize the connection relationship between the various devices; and the plane distribution map corresponding to the passive indoor distributed system is used to characterize the distribution position of the various devices.

Description

Technical Field

[0001] The present application belongs to the field of wireless communication technology, and specifically relates to a passive indoor monitoring method, system, electronic device and readable storage medium. Background Art

[0002] Traditional equipment failure prediction methods usually rely on professionals to perform regular inspections and maintenance on equipment. When equipment fails, professionals check each device one by one to troubleshoot the problem, which is time-consuming and labor-intensive. In addition, the accuracy of failure prediction is limited, and it is easy to miss something, making it difficult to identify the failed device in a timely and accurate manner. Summary of the invention

[0003] The embodiments of the present application provide a passive indoor monitoring method, system, electronic device and readable storage medium, which can solve the problem that it is difficult to accurately and timely determine the failed device when manually predicting device failure.

[0004] In the first aspect, an embodiment of the present application provides a passive indoor distributed monitoring method, which is applied to an indoor distributed monitoring network management platform, and the method includes: obtaining indicator data of each device in the passive indoor distributed system; performing fault analysis on the indicator data of each device through a machine learning model to generate alarm information; marking the alarm information in a topological positioning map corresponding to the passive indoor distributed system or a plane distribution map corresponding to the passive indoor distributed system; wherein the topological positioning map corresponding to the passive indoor distributed system is used to characterize the connection relationship between the various devices; and the plane distribution map corresponding to the passive indoor distributed system is used to characterize the distribution position of the various devices.

[0005] In a second aspect, an embodiment of the present application provides a passive indoor distributed monitoring system, which includes: an indoor distributed monitoring network management platform, a radio frequency identification RFID gateway, a signal source and a passive indoor distributed system; the passive indoor distributed system includes: an antenna and an RFID tag, and the RFID tag is arranged on the antenna; the indoor distributed monitoring network management platform is connected to the RFID gateway; the RFID gateway is connected to the passive indoor distributed system; the signal source is connected to the passive indoor distributed system; wherein the RFID gateway is used to collect antenna index data of the RFID tag, and report the antenna index data to the indoor distributed monitoring network management platform; the indoor distributed monitoring network management The platform is used to obtain the index data of each device in the passive indoor distributed system, perform fault analysis on the index data of each device through a machine learning model, generate alarm information, and mark the alarm information in a topological positioning diagram corresponding to the passive indoor distributed system or a plane distribution diagram corresponding to the passive indoor distributed system; wherein, the index data of each device includes the antenna index data and the index data of other devices in the passive indoor distributed system except the antenna; the topological positioning diagram corresponding to the passive indoor distributed system is used to characterize the connection relationship between the various devices; and the plane distribution diagram corresponding to the passive indoor distributed system is used to characterize the distribution position of the various devices.

[0006] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0007] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0008] 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 a program or instruction to implement the steps of the method described in the first aspect.

[0009] In a sixth aspect, an embodiment of the present application provides a computer program product, comprising a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises a program or instructions, and when the program or instructions are executed, the steps of the method described in the first aspect are implemented.

[0010] In an embodiment of the present application, the indoor distributed monitoring network management platform obtains the index data of each device in the passive indoor distributed system, uses the machine learning model to perform fault analysis on the index data of each device, generates alarm information, and then marks the alarm information on the topological positioning map corresponding to the passive indoor distributed system or the plane distribution map corresponding to the passive indoor distributed system; wherein, the topological positioning map corresponding to the passive indoor distributed system is used to characterize the connection relationship of each device; and the plane distribution map corresponding to the passive indoor distributed system is used to characterize the distribution position of each device. Thus, the indoor distributed monitoring network management platform can accurately analyze the fault condition of the equipment through the machine learning model, and mark the generated alarm information in the visualized topological positioning map and plane distribution map, without manual inspection one by one, so that the faulty equipment can be timely and accurately determined from the topological positioning map and the plane distribution map, and the efficiency of fault location is also improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a flow chart of a passive room monitoring method provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a passive indoor monitoring system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of another passive indoor monitoring system provided in an embodiment of the present application; Figures 4a to 4e It is a structural schematic diagram of another passive indoor monitoring system provided in an embodiment of the present application; Figure 5a to Figure 5d A topological positioning diagram for marking alarm information provided in an embodiment of the present application; Figures 6a to 6c It is a plane distribution diagram of annotated alarm information provided by an embodiment of the present application; Figure 7 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0012] 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.

[0013] 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.

[0014] The passive room monitoring method, system, electronic device and readable storage medium provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings through specific embodiments and their application scenarios.

[0015] Figure 1 The flowchart of the passive indoor monitoring method provided by the embodiment of the present application is shown. The method is applied to the indoor monitoring network management platform and can be executed by an electronic device. Figure 1 , the method may include the following steps.

[0016] Step 102, obtaining index data of each device in the passive indoor distributed system.

[0017] Among them, the passive indoor distributed system includes multiple devices, such as passive devices such as antennas, power dividers, couplers, feeders, and combiners. These devices do not require external power supply, and distribute and transmit signals through base stations to achieve signal coverage in indoor areas, simplifying the structure of the indoor distributed system and reducing energy consumption and costs. Among them, for the setting of antennas, according to factors such as the structure of the building in the indoor area, coverage requirements, and signal frequency bands, select the antenna type and layout method that meet the factors. For example, in open areas, omnidirectional ceiling antennas can be selected; in areas with more partitions, dual-polarized antennas can be selected. For the setting of power dividers and couplers, set the number and parameters of power dividers and couplers according to signal strength and coverage requirements to ensure that the signal can be evenly distributed to each area.

[0018] Among them, the index data of each device obtained by the indoor distributed monitoring network management platform includes the index data of the antenna and the index data of other devices in the passive indoor distributed system except the antenna. The index data of the antenna can be obtained by collecting the signal feedback from the RFID tag set on the antenna through the RFID gateway. The index data of other devices can be determined by the topological relationship between the antenna and other devices in the topological positioning diagram corresponding to the passive indoor distributed system.

[0019] Step 104: Perform fault analysis on the indicator data of each device through a machine learning model to generate alarm information.

[0020] Among them, the fault analysis is performed on the indicator data of each device through a machine learning model to find the correlation between the indicator data and the fault, so as to analyze the fault of the device according to the indicator data of each device.

[0021] Step 106: mark the alarm information in a topological positioning diagram corresponding to the passive indoor distributed system or a plane distribution diagram corresponding to the passive indoor distributed system.

[0022] Among them, the topological positioning diagram corresponding to the passive indoor distributed system is used to characterize the connection relationship of the various devices; the plane distribution diagram corresponding to the passive indoor distributed system is used to characterize the distribution position of the various devices. According to the alarm information marked in the topological positioning diagram, the faulty equipment and the level of the equipment in the passive indoor distributed system can be quickly determined, so as to perform corresponding fault handling on the equipment according to the level. According to the standard alarm information in the plane distribution diagram, the actual location of the faulty equipment can be quickly determined to save time in troubleshooting the faulty equipment. In addition, the comprehensive topological positioning diagram and the plane distribution diagram can combine the advantages of both, and can timely and accurately determine the faulty equipment, the level of the equipment and the actual location of the equipment, so as to efficiently handle the fault of the faulty equipment.

[0023] In an embodiment of the present application, the indoor distributed monitoring network management platform obtains the index data of each device in the passive indoor distributed system, uses the machine learning model to perform fault analysis on the index data of each device, generates alarm information, and then marks the alarm information on the topological positioning map corresponding to the passive indoor distributed system or the plane distribution map corresponding to the passive indoor distributed system; wherein, the topological positioning map corresponding to the passive indoor distributed system is used to characterize the connection relationship of each device; and the plane distribution map corresponding to the passive indoor distributed system is used to characterize the distribution position of each device. Thus, the indoor distributed monitoring network management platform can accurately analyze the fault condition of the equipment through the machine learning model, and mark the generated alarm information in the visualized topological positioning map and plane distribution map, without manual inspection one by one, so that the faulty equipment can be timely and accurately determined from the topological positioning map and the plane distribution map, and the efficiency of fault location is also improved.

[0024] In one implementation, before marking the alarm information in the topological positioning diagram corresponding to the passive indoor distributed system or the plane distribution diagram corresponding to the passive indoor distributed system in the above step 106, the method further includes the following steps.

[0025] Step 1051, obtaining identification information and location information corresponding to each device in the passive indoor distributed system.

[0026] Wherein, obtaining the identification information corresponding to each device may include inputting the identification information by a relevant person. Obtaining the location information corresponding to each device may include determining the location of each device in the plan view through the uploaded plan view of the passive indoor distributed system.

[0027] Step 1052a: construct a topological positioning map corresponding to the passive indoor distributed system according to the identification information corresponding to each device.

[0028] Among them, the topological positioning diagram corresponding to the passive indoor distributed system is used to characterize the connection relationship between the various devices. That is to say, in the topological positioning diagram, each node represents each device, and the connection between each node represents the connection relationship between each device. The connection relationship between each device can be intuitively obtained, so that the signal transmission link can be known.

[0029] Step 1052b: construct a plane distribution map corresponding to the passive indoor distributed system according to the location information corresponding to each device.

[0030] The plane distribution diagram corresponding to the passive indoor distributed system is used to characterize the distribution position of each device. Unlike the above-mentioned topological positioning diagram, the plane distribution diagram represents the actual position of each device in the actual situation, and can intuitively determine the actual position of each device. The identification information of each device corresponds to the position information, that is, the position where the identification information corresponding to each device in the plane distribution diagram is located is the position information corresponding to each device.

[0031] In the embodiment of the present application, by obtaining the identification information and location information corresponding to each device, a topological positioning map corresponding to the passive indoor distributed system is constructed according to the identification information corresponding to each device, so as to obtain the connection relationship of each device through the topological positioning map, so as to know the transmission link of the signal and analyze the operation of the device. And a plane distribution map corresponding to the passive indoor distributed system is constructed according to the location information corresponding to each device, so as to determine the actual location of each device in the actual situation through the plane distribution map, so that when it is determined that a certain device fails, the location of the failed device can be quickly determined from the plane distribution map, so as to respond and process in time.

[0032] In one implementation, after the above-mentioned step 1052a constructs a topological positioning map corresponding to the passive indoor distributed system based on the identification information corresponding to the various devices; and step 1052b constructs a plane distribution map corresponding to the passive indoor distributed system based on the location information corresponding to the various devices, the method further includes the following steps.

[0033] Step 1053, auditing the topological positioning diagram corresponding to the passive indoor distributed system and the plane distribution diagram corresponding to the passive indoor distributed system, and generating an audit report.

[0034] Among them, the audit report records various information of the topological positioning map and the plane distribution map as well as the correctness of the information.

[0035] Step 1054, when the audit report indicates that the identification information and location information corresponding to each device are normal, the basic information corresponding to each device is stored in the database corresponding to each device.

[0036] The basic information corresponding to each device includes identification information and location information corresponding to each device, as well as serial number, device type, device manufacturer, and the site address of each device.

[0037] In an embodiment of the present application, an audit is performed on the constructed topology positioning map and the plane distribution map to determine whether the relevant information of each device in the topology positioning map and the plane distribution map is correct, and an audit report is generated so that relevant personnel can obtain the correctness of the relevant information of each device in the passive indoor distributed system by consulting the audit report. In the event of errors, relevant personnel can manually correct them or the indoor distributed monitoring network management platform can obtain the latest relevant information of each device in real time for correction. When the generated audit report indicates that the identification information and location information corresponding to each device are normal, the basic information corresponding to each device is stored in the database corresponding to each device, thereby forming a database for each device to facilitate the management and maintenance of each device.

[0038] In one implementation, the above-mentioned step 102 obtains the indicator data of each device in the passive indoor distributed system, including: according to the level of each device, sequentially obtaining the indicator data of each device according to different levels; thereby the above-mentioned step 104 performs fault analysis on the indicator data of each device through a machine learning model to generate alarm information, including: performing fault analysis on the indicator data of each device through the machine learning model in sequence according to different levels to generate the alarm information.

[0039] Among them, the levels of various devices include antennas, power dividers, couplers, etc.

[0040] In an embodiment of the present application, the indoor monitoring network management platform obtains the index data of each device in accordance with the level of each device, and performs fault analysis on the index data through a machine learning model in accordance with the different levels to generate alarm information. By setting the order of equipment fault analysis, the order can be adjusted according to specific needs. For example, if the antenna is given priority, the indoor monitoring network management platform first receives the index data of the antenna, performs fault analysis on the index data of the antenna, generates alarm information, and then obtains the index data of the power divider according to the topological relationship between the antenna and the power divider, and performs fault analysis on the index data of the power divider to generate alarm information. By performing fault analysis at different levels, the fault conditions of devices at preset levels can be efficiently determined, further improving the efficiency of equipment fault detection.

[0041] Figure 2 A schematic diagram of the structure of a passive indoor monitoring system provided in an embodiment of the present application is shown. Figure 2 The system 200 includes: an indoor distributed monitoring network management platform 21, a Radio Frequency Identification Devices (RFID) gateway 22, a signal source 23 and a passive indoor distributed system 24; the passive indoor distributed system 24 includes: an antenna 244 and an RFID tag 245, and the RFID tag 245 is arranged on the antenna 244; the indoor distributed monitoring network management platform 21 is connected to the RFID gateway 22; the RFID gateway 22 is connected to the passive indoor distributed system 24; the signal source 23 is connected to the passive indoor distributed system 24.

[0042] The RFID gateway 22 is used to collect the antenna index data of the RFID tag and report the antenna index data to the indoor distributed monitoring network management platform 21; the indoor distributed monitoring network management platform 21 is used to obtain the index data of each device in the passive indoor distributed system 24, wherein the index data of each device includes the antenna index data and the index data of other devices in the passive indoor distributed system except the antenna. Then, the index data of each device is analyzed for faults through a machine learning model to generate alarm information, and the alarm information is marked in the topological positioning diagram corresponding to the passive indoor distributed system or the plane distribution diagram corresponding to the passive indoor distributed system; wherein, the topological positioning diagram corresponding to the passive indoor distributed system is used to characterize the connection relationship between the various devices; and the plane distribution diagram corresponding to the passive indoor distributed system is used to characterize the distribution position of the various devices.

[0043] The RFID gateway 22 and the signal source 23 are installed in the same weak-current room to facilitate power supply, wireless signal return and equipment maintenance.

[0044] In the passive indoor monitoring system 200 provided in the embodiment of the present application, it includes an indoor monitoring network management platform 21, an RFID gateway 22, a signal source 23 and a passive indoor system 24, the passive indoor system 24 includes an antenna 244 and an RFID tag 245, the RFID tag 245 is set on the antenna 244, the signal source 23 and the RFID gateway 22 are connected to the passive indoor system 24, and the indoor monitoring network management platform 21 is connected to the RFID gateway 22, so that the indoor monitoring network management platform 21 receives the antenna indicator data of the RFID tag collected by the RFID gateway 22, and obtains other devices according to the topological relationship between the antenna and other devices in the passive indoor system 24. The indicator data of the equipment is used to obtain the indicator data of each device in the passive indoor distributed system 24, and then the indicator data of the each device is analyzed for faults through a machine learning model to generate alarm information, and the alarm information is marked on a topological positioning map corresponding to the passive indoor distributed system or a plane distribution map corresponding to the passive indoor distributed system. Thus, the indoor distributed monitoring network management platform accurately analyzes the fault condition of the equipment through a machine learning model, and marks the generated alarm information on a visualized topological positioning map and a plane distribution map, without the need for manual inspection one by one, so that the faulty equipment can be timely and accurately determined from the topological positioning map and the plane distribution map, thereby improving the efficiency of fault locating.

[0045] In one implementation, see Figure 2 The passive indoor distributed system 24 further includes: a combiner 241, a power divider 242, and a coupler 243. The first end of the combiner 241 is connected to the RFID gateway 22; the second end of the combiner 241 is connected to the signal source 23; the third end of the combiner 241 is connected to one end of the power divider 242; the other end of the power divider 242 is connected to one end of the coupler 243; the other end of the coupler 243 is connected to the antenna 244.

[0046] Among them, the RFID gateway 22 is used to send radio frequency signals to the combiner 241, the power divider 242, the coupler 243, and the antenna 244 in sequence according to a preset period; the RFID tag 245 is used to respond to the radio frequency signal and send a co-frequency signal to the coupler 243, the power divider 242, the combiner 241 and the RFID gateway 22 in sequence; the RFID gateway 22 is also used to determine the link loss value based on the radio frequency signal and the co-frequency signal, and report the link loss value to the indoor monitoring network management platform 21; the indoor monitoring network management platform 21 is also used to receive the link loss value reported by the RFID gateway 22.

[0047] Among them, the RFID gateway 22 is a terminal capable of reading the RFID tag 245 to collect antenna index data of the antenna. The RFID tag 245 is read by a reader / writer, and communicates with the indoor monitoring network management platform 21 through the network, and reports the collected antenna index data to the indoor monitoring network management platform 21. The same-frequency signal sent by the RFID tag 245 carries an identifier (Identity, ID) so that the indoor monitoring network management platform 21 can identify the antenna 244 through the ID. The RFID tag 245 is used to respond to the radio frequency signal and activate the electronic circuit chip on the RFID tag 245 by electromagnetic induction, thereby realizing the reporting of index data. The RFID gateway 22 is also used to receive operations such as query and configuration information of the indoor monitoring network management platform 21, and make corresponding responses to the operations.

[0048] Optionally, the RFID gateway can be divided into 1-port RFID gateway, 2-port RFID gateway and 4-port RFID gateway according to the number of RF output ports. It can be divided into fixed RFID gateway and portable RFID gateway according to mobility characteristics. The device numbers on the same floor under the same RFID gateway must remain unique to avoid duplicate numbers, and the numbers of each device in the topology positioning diagram and the plane distribution diagram must maintain a one-to-one mapping relationship.

[0049] Among them, the RFID tag uses different tags for the single-channel or dual-channel of the passive indoor distributed system to distinguish. Two RFID tags are selected for the dual-polarized antenna. The RFID tag is set on the antenna cover at the end to ensure that the link loss value of the antenna point does not exceed the support range of the link loss value of the RFID gateway, that is, not more than 33dB. The method for determining the link loss value of the antenna point can refer to the 900M GSM band or CDMA band to calculate the power of the terminal antenna. When the source power is 40dBm, the power of the terminal antenna is not less than 0dBm.

[0050] In the passive indoor distributed monitoring system 200 provided in the embodiment of the present application, the passive indoor distributed system 24 includes a combiner 241, a power divider 242, a coupler 243, an antenna 244 and an RFID tag 245. The RFID tag 245 is set on the antenna 244, and the antenna 244 is connected to the coupler 243, the power divider 242 and the combiner 241 in sequence. The combiner 241 is then connected to the RFID gateway 22 and the signal source 23. The RFID gateway 22 and the signal source 23 are combined by the combiner 241 and introduced into the passive indoor distributed system. The RFID gateway 22 sends radio frequency signals to the combiner 241, the power divider 242, the coupler 243, and the antenna 244 in sequence according to a preset period, and then the RFID tag 245 set on the antenna 244 responds to the radio frequency signal and sends a co-frequency signal to the coupler 243, the power divider 242, the combiner 241 and the RFID gateway 22 in sequence, so that the RFID gateway determines the link loss value according to the radio frequency signal and the co-frequency signal, and reports the link loss value to the indoor monitoring network management platform 21, so that the indoor monitoring network management platform 21 can judge the link loss condition according to the received link loss value, and assist in determining the failure condition of the equipment.

[0051] Optionally, Table 1 shows exemplary indicator data provided in an embodiment of the present application.

[0052] Table 1.

[0053] Figure 3 FIG. 1 shows a schematic diagram of the structure of another passive room monitoring system provided by an embodiment of the present application in an implementation manner, see FIG. Figure 3 The passive indoor distributed monitoring system 200 also includes: an analog frequency sweeping device 25; the analog frequency sweeping device 25 is connected to the passive indoor distributed system 24.

[0054] The analog frequency scanning device 25 is used to collect the antenna index data and report the antenna index data to the indoor monitoring network management platform 21 .

[0055] In the passive indoor monitoring system 200 provided in the embodiment of the present application, an analog scanning device 25 may also be included, which is connected to the passive indoor system 24 and is used to collect the antenna index data and report the antenna index data to the indoor monitoring network management platform 21, so that the indoor monitoring network management platform 21 can also perform fault analysis on the antenna index data by receiving the antenna index data reported by the analog scanning device 25, and can determine the index data of other devices based on the received antenna index data and the topological relationship between the antenna and other devices, so as to perform fault analysis on the index data of other devices, generate alarm information, and then mark the alarm information on the topological positioning map corresponding to the passive indoor system or the plane distribution map corresponding to the passive indoor system, thereby achieving the goal of timely and accurately determining the faulty equipment from the topological positioning map and the plane distribution map without manual inspection one by one, thereby improving the fault positioning efficiency.

[0056] Figures 4a to 4d A schematic diagram of the structure of another passive indoor monitoring system provided by an embodiment of the present application is shown in one implementation, wherein the combiner 241 may include a source combiner 241a and an indoor monitoring combiner 241b. The first end of the source combiner 241a is connected to multiple sources (e.g., 2G sources, 3G sources, 4G sources, and 5G sources), the second end of the source combiner 241a is connected to the first end of the indoor monitoring combiner 241b, the second end of the indoor monitoring combiner 241b is connected to the RFID gateway, and the third end of the indoor monitoring combiner 241b is connected to one end of the power divider 242.

[0057] The signal source combiner 241a and the indoor monitoring combiner 241b are arranged at the same position as far as possible. The required insertion loss value from the signal source input port to the output port of the indoor monitoring combiner 241b for the 820~835MHz frequency band is no more than 1.5dB, and the required insertion loss value for other frequency bands is no more than 0.8dB. The required insertion loss value from the RFID gateway input port to the output port of the indoor monitoring combiner 241b is no more than 1.5dB.

[0058] Among them, the power tolerance of the indoor monitoring combiner 241b meets the maximum power requirement of the system, and the frequency band of the signal source input port of the indoor monitoring combiner 241b meets the frequency band requirement of each signal source.

[0059] In the embodiment of the present application, the type selection of the RFID gateway 22 is related to the type of the source combiner 241a and the number of coverage areas of the passive indoor distributed system.

[0060] See also Figure 4aWhen the signal source combiner 241a is a multi-input and one-output combiner and the passive indoor distributed system 24 is a single-channel passive indoor distributed system covering a single area, the RFID gateway uses a 1-port RFID gateway.

[0061] See also Figure 4b When the source combiner 241a is a multi-system access platform (Point Of Interface, POI), the passive indoor distributed system 24 is a single-channel passive indoor distributed system, and its different branches cover different areas (area A / area B), the RFID gateway uses a 2-port RFID gateway.

[0062] See also Figure 4c When the source combiner 241a is two multi-input and one-output combiners and the passive indoor distributed system 24 is a dual-channel passive indoor distributed system, covering the A-channel and B-channel areas respectively, the RFID gateway uses a 2-port RFID gateway.

[0063] See also Figure 4d When the source combiner 241a is two POIs and the passive indoor distributed system 24 is a dual-channel passive indoor distributed system, which respectively covers two areas of Road A and two areas of Road B, the RFID gateway uses a 4-port RFID gateway.

[0064] Among them, the maximum link loss value range supported by each port of the RFID gateway is 36dB. Considering the 3dB application margin, the maximum link loss value from the port to the terminal antenna should not be higher than 33dB in principle. Within the effective link loss value detection range of the RFID gateway, each port of the RFID gateway can carry a maximum of 100 antenna tag sensors, that is, 100 pairs of antennas. The communication mode of the RFID gateway is divided into wired communication mode and wireless communication mode. The wired communication mode is realized through the network port connected to a reliable network management server; the wireless communication mode needs to ensure that the signal of the 4G source at the installation location of the RFID gateway is ≥-80dBm.

[0065] Optionally, when the signal source in the same weak current room involves more than 4 output links after being combined through the combiner, the 4-port RFID gateway can be used preferentially, and then the 1-port RFID gateway or the 2-port RFID gateway can be determined based on the number of output ports of the remaining multi-input and one-output combiner or POI.

[0066] Optionally, according to the need to modify the passive indoor distributed system to add branches, select an RFID gateway with an appropriate number of ports.

[0067] Figure 4e FIG. 1 shows a schematic diagram of a passive indoor monitoring system provided in an implementation manner. Figure 4eFor the scenario where POI is used and POI supports the telecom CDMA800MHz port, when the telecom CDMA800MHz port is idle and there is no need to feed it in the future, the output signal of the RFID gateway can be directly fed into the telecom CDMA800MHz port. The number of RFID gateway ports and the number of POIs can be kept consistent, and there is no need to add an indoor monitoring combiner.

[0068] Figure 5a to Figure 5d A topology location diagram for marking alarm information provided by an embodiment of the present application is shown. In the topology location diagram, the equipment that fails in the passive indoor distributed system is marked by boxes 51 / 52 / 53 / 54. For example, the antenna in some areas of the passive indoor distributed system fails, as shown by the box 52. The topology location diagram also marks the equipment number (PS1 / PS2 / PS2-1 / PS3 / PS4, etc.), so that relevant personnel can quickly locate the fault point through the topology location diagram, so as to make corresponding responses in time and handle the fault.

[0069] Figures 6a to 6c A plan distribution diagram for marking alarm information provided by an embodiment of the present application is shown. In the plan distribution diagram, the faulty equipment in the passive room distribution system is marked by elliptical frames 61 / 62 / 63, so that relevant personnel can quickly locate the fault point through the plan distribution diagram, and thus make corresponding responses in time to handle the fault.

[0070] In the embodiment of the present application, a corresponding equipment monitoring application (Application, APP) can be installed in the indoor distributed monitoring network management platform, and relevant personnel can log in to the APP to enter the basic information of each device in the passive indoor distributed system. After determining the fault condition of each device, the generated alarm information is marked in the topological positioning map or plane distribution map corresponding to the passive indoor distributed system. The APP can display the topological positioning map or plane positioning map, and relevant personnel can read the topological positioning map or plane positioning map through the APP, so as to quickly and timely determine the faulty equipment.

[0071] The embodiment of the present application further provides an electronic device, which is used to execute the above-mentioned passive room monitoring method. Figure 7A schematic diagram of the structure of an electronic device for implementing various embodiments of the present application. Electronic devices may have relatively large differences due to different configurations or performances, and may include a processor (processor) 701, a communication interface (CommunicationsInterface) 702, a memory (memory) 703 and a communication bus 704, wherein the processor 701, the communication interface 702, and the memory 703 communicate with each other through the communication bus 704. The processor 701 can call a computer program stored in the memory 703 and can be run on the processor 701 to execute the various steps of the above-mentioned passive room monitoring method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0072] 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.

[0073] 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).

[0074] 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.

[0075] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned passive room monitoring method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0076] The processor is a processor in the electronic device described in the above embodiment. The readable 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.

[0077] 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 passive room monitoring method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0078] 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.

[0079] An embodiment of the present application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes a program or instructions. When the program or instructions are executed, the various processes of the above-mentioned passive room monitoring method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, they will not be repeated here.

[0080] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the 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, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out 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 performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, 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.

[0081] 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.

[0082] 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 passive indoor monitoring method, characterized in that: Applied to indoor monitoring network management platform, including: Obtain the index data of each device in the passive indoor distribution system; Perform fault analysis on the indicator data of each device through a machine learning model to generate alarm information; Marking the alarm information on a topological positioning diagram corresponding to the passive indoor distributed system or a plane distribution diagram corresponding to the passive indoor distributed system; Among them, the topological positioning diagram corresponding to the passive indoor distributed system is used to characterize the connection relationship between the various devices; the plane distribution diagram corresponding to the passive indoor distributed system is used to characterize the distribution position of the various devices.

2. The method according to claim 1, characterized in that Before marking the alarm information on the topological positioning diagram corresponding to the passive indoor distributed system or the plane distribution diagram corresponding to the passive indoor distributed system, the method further includes: Obtaining identification information and location information corresponding to each device in the passive indoor distributed system; Constructing a topological positioning diagram corresponding to the passive indoor distributed system according to the identification information corresponding to each device; Constructing a plane distribution diagram corresponding to the passive indoor distributed system according to the location information corresponding to each device; The identification information of each device corresponds to the location information.

3. The method according to claim 2, characterized in that After constructing the topological positioning diagram corresponding to the passive indoor distributed system according to the identification information corresponding to each device; and constructing the plane distribution diagram corresponding to the passive indoor distributed system according to the location information corresponding to each device, the method further includes: Auditing the topological positioning diagram corresponding to the passive indoor distributed system and the plane distribution diagram corresponding to the passive indoor distributed system, and generating an audit report; When the audit report indicates that the identification information and location information corresponding to each device are normal, the basic information corresponding to each device is stored in a database corresponding to each device.

4. The method according to claim 1, characterized in that: The obtaining of index data of each device in the passive indoor distributed system includes: According to the level of each device, obtain the indicator data of each device in turn according to the different levels; The method of performing fault analysis on the indicator data of each device through a machine learning model to generate alarm information includes: The machine learning model is used to perform fault analysis on the indicator data of each device according to different levels to generate the alarm information.

5. A passive indoor monitoring system, characterized in that: include: Indoor monitoring network management platform, RFID gateway, signal source and passive indoor system; The passive indoor distributed system comprises: an antenna and an RFID tag, wherein the RFID tag is arranged on the antenna; the indoor distributed monitoring network management platform is connected to the RFID gateway; the RFID gateway is connected to the passive indoor distributed system; the information source is connected to the passive indoor distributed system; The RFID gateway is used to collect antenna index data of the RFID tag and report the antenna index data to the indoor monitoring network management platform; The indoor distributed monitoring network management platform is used to obtain the index data of each device in the passive indoor distributed system, perform fault analysis on the index data of each device through a machine learning model, generate alarm information, and mark the alarm information on the topological positioning map corresponding to the passive indoor distributed system or the plane distribution map corresponding to the passive indoor distributed system; Among them, the index data of each device includes the antenna index data and the index data of other devices in the passive indoor distributed system except the antenna; the topological positioning map corresponding to the passive indoor distributed system is used to characterize the connection relationship of each device; the plane distribution map corresponding to the passive indoor distributed system is used to characterize the distribution position of each device.

6. The passive indoor monitoring system according to claim 5, characterized in that: The passive indoor distribution system further includes: a combiner, a power divider, and a coupler; a first end of the combiner is connected to the RFID gateway; a second end of the combiner is connected to the signal source; a third end of the combiner is connected to one end of the power divider; the other end of the power divider is connected to one end of the coupler; and the other end of the coupler is connected to the antenna; The RFID gateway is used to send radio frequency signals to the combiner, the power divider, the coupler, and the antenna in sequence according to a preset period; The RFID tag is used to respond to the radio frequency signal and send a same-frequency signal to the coupler, the power divider, the combiner and the RFID gateway in sequence; The RFID gateway is also used to determine a link loss value according to the radio frequency signal and the co-frequency signal, and report the link loss value to the indoor monitoring network management platform; The indoor monitoring network management platform is also used to receive the link loss value reported by the RFID gateway.

7. The passive room monitoring system according to claim 5, characterized in that: The passive indoor monitoring system further comprises: an analog frequency sweeping device; the analog frequency sweeping device is connected to the passive indoor system; The analog frequency scanning device is used to collect the antenna index data and report the antenna index data to the indoor monitoring network management platform.

8. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the passive room monitoring method as described in any one of claims 1 to 4.

9. A readable storage medium, characterized in that: The readable storage medium stores programs or instructions, and when the programs or instructions are executed by the processor, the steps of the passive room monitoring method as described in any one of claims 1 to 4 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises a program or instructions, and when the program or instructions are executed, the steps of the passive room monitoring method as claimed in any one of claims 1 to 4 are implemented.

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