Communication equipment detection management system, method and equipment based on Internet of Things

Abstract

The invention discloses a communication equipment detection management system, method and equipment based on the Internet of Things, and relates to the technical field of communication equipment detection control. The communication equipment detection management system based on the Internet of Things comprises a communication environment evaluation module, a communication interference analysis module and a detection management effect module. According to the invention, the communication transmission data of the current frequency band communication environment is obtained through the Internet of Things to obtain the transmission interference factor, and then the transmission interference factor is combined with the obtained communication detection interference analysis data to obtain the communication interference analysis index, so that detection management measures are taken; and finally, obtaining quality characteristic data of the interference communication equipment of the corresponding type after the detection management measures are taken, and combining the quality characteristic data with the communication interference analysis index to obtain a communication quality evaluation index, thereby taking the communication equipment optimization management measures, and achieving the effect of improving the communication fluency of multiple communication equipment in the same frequency band. The problem that in the prior art, multiple communication devices interfere with one another when communicating at the same frequency band is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of communication equipment detection control, and in particular to a communication equipment detection management system, method and equipment based on the Internet of Things. Background Art

[0002] With the rapid development and widespread application of IoT technology, the management of traditional communication equipment faces increasingly complex challenges, including a surge in the number of devices, difficulty in status monitoring, and high maintenance costs. The IoT-based communication equipment detection and management system uses sensors, smart terminals, and cloud platforms to achieve real-time monitoring, remote management, and data analysis of equipment, greatly improving management efficiency and accuracy. Such systems are widely used in smart cities, industrial IoT, and communication base station operations and maintenance, providing important support for improving equipment stability and optimizing resource allocation, and promoting the development of intelligent transformation in the communications industry.

[0003] Existing communication equipment management mainly relies on manual inspections or traditional monitoring systems, which have problems such as poor real-time performance, low maintenance efficiency, and delayed fault detection. In addition, the wide variety of equipment and wide distribution range make centralized management more difficult. Although some systems have adopted basic remote monitoring technology, they have insufficient data collection and low intelligence level, which cannot meet the efficient management needs in modern IoT scenarios. Therefore, there is an urgent need for a detection and management system based on IoT technology to achieve efficient monitoring and management of the entire life cycle of equipment through data interconnection and intelligent analysis.

[0004] For example, the invention patent with announcement number: CN115357001B announces a data collection method and device based on the Internet of Things, including: setting sensors and communication equipment on the processed products, and then combining the control center and the detection points to form the Internet of Things, and issuing detection instructions through the control center. When the detection point detects the detection instruction, it sends a target distance acquisition instruction to each first processed product, and then obtains the corresponding target product distance based on the first processed product, and uploads it to the control center to collect the data of patency.

[0005] For example, the invention patent with announcement number: CN108490888B announces a detection control system and method based on the Internet of Things, including: an Internet of Things network architecture, including a full-network monitoring server, a subnet monitoring server and a controlled terminal connected in a hierarchical manner through the Internet of Things; a low-power management and control module, which is used to perform low-power management and control on each layer of the Internet of Things network architecture and the network architecture transmission; a data channel conflict management and control module, which is used to control and reduce the channel conflicts generated when sending and receiving data in the Internet of Things network architecture.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, since some frequency bands are unlicensed open frequency bands, in a home communication environment, any device (such as Wi-Fi routers, Bluetooth devices, microwave ovens, wireless keyboards and mice, etc.) can be used legally without applying for a license, resulting in extremely dense signals of communication devices in this frequency band, and there is a problem of mutual interference when multiple communication devices communicate in the same frequency band. Summary of the invention

[0008] The embodiments of the present application solve the problem of mutual interference among multiple communication devices in the prior art when communicating in the same frequency band by providing a communication device detection management system, method and device based on the Internet of Things, thereby improving the smoothness of communication among multiple communication devices in the same frequency band.

[0009] The embodiment of the present application provides a communication equipment detection and management system based on the Internet of Things, including: a communication environment assessment module, a communication interference analysis module and a detection management effect module; wherein the communication environment assessment module is used to obtain the communication transmission data of the current frequency band communication environment within a preset detection period through the Internet of Things to obtain a transmission interference factor, and the transmission interference factor is used to quantify the degree of interference caused by network characteristics on transmission, and the communication transmission data includes network performance data and signal quality data; the communication interference analysis module is used to combine the communication detection interference analysis data obtained within the preset detection period with the transmission interference factor to obtain a communication interference analysis index, and take corresponding detection management measures based on the communication interference analysis index, and the communication interference analysis index is used to determine the type of interfering communication equipment; the detection management effect module is used to obtain the quality characteristic data of the corresponding type of interfering communication equipment after taking detection management measures within the preset detection period, combine the quality characteristic data with the communication interference analysis index to obtain a communication quality assessment index, and take corresponding communication equipment optimization management measures according to the communication quality assessment index, and the communication quality assessment index is used to comprehensively reflect the data transmission quality of the communication equipment on the current frequency band after taking the corresponding detection management measures.

[0010] Furthermore, the communication detection interference analysis data includes signal strength, channel utilization, interference strength variance, frequency hopping and data packet loss rate; the data packet loss rate includes Bluetooth device packet loss rate, Wi-Fi device packet loss rate and smart home device packet loss rate; the network performance data includes data packet retransmission rate, packet loss rate, channel bandwidth occupancy, network delay; the signal quality data includes signal-to-noise ratio, received signal strength, wireless channel noise and wireless interference index; the quality characteristic data includes signal conflict rate, bit error rate, channel usage time ratio and idle frequency band ratio.

[0011] Furthermore, the specific method for obtaining the transmission interference factor is as follows: number the preset detection cycles and obtain the transmission analysis weights from the preset database, the transmission analysis weights including the network performance weights and the signal quality weights; perform data preprocessing on the network performance data and the signal quality data respectively to unify the dimensions; sum the processed data of the network performance data and the network performance weights after data preprocessing with the processed data of the signal quality data and the signal quality weights after data preprocessing to obtain the transmission coefficient; and obtain the transmission interference factor by performing hyperbolic tangent processing on the transmission coefficient.

[0012] Furthermore, the specific acquisition process of the communication interference analysis index is as follows: obtaining reference data packet data of various types of home communication devices from a preset database, and performing data preprocessing on the detection interference analysis data to unify the dimension, the reference data packet data including the minimum packet loss rate of Bluetooth devices, the minimum packet loss rate of Wi-Fi devices and the minimum packet loss rate of smart home devices; judging whether the data packet loss rate and the corresponding reference data packet data meet the judgment condition, if the judgment condition is met, obtaining the data packet coefficient according to the data packet loss rate and the corresponding reference data packet data, otherwise the corresponding data packet coefficient is recorded as 0; the judgment condition indicates that the packet loss rate of Bluetooth devices, the packet loss rate of Wi-Fi devices and the packet loss rate of smart home devices are all less than the corresponding reference data packet data; if the hopping frequency of the Bluetooth device within the preset detection period is greater than 0, the frequency hopping value is recorded as 1, otherwise the frequency hopping value is recorded as 0, and the frequency hopping value is used to indicate the frequency hopping degree of the Bluetooth device; processing the acquired transmission interference factor with the communication detection interference analysis data, the frequency hopping value and the data packet coefficient to obtain the communication interference analysis index.

[0013] Furthermore, the specific limiting expression of the communication interference analysis index is as follows:

[0014]

[0015] Where n represents the number of the preset detection cycle, n = 1, 2, ..., N, N represents the total number of preset detection cycles, si n Indicates the signal strength of the nth preset detection cycle, cv n represents the channel utilization rate of the nth preset detection cycle, iv n Indicates the interference intensity variance of the nth preset detection cycle, FH n Indicates the frequency hopping value of the nth preset detection cycle, SJ n Indicates the packet coefficient of the nth preset detection cycle, TI n Indicates the transmission interference factor of the nth preset detection cycle, CI n Indicates the communication interference analysis index of the nth preset detection cycle.

[0016] Furthermore, the specific process of taking corresponding detection and management measures is as follows: obtaining a communication interference threshold from a preset database and comparing it with a communication interference analysis index: if the communication interference analysis index is less than the communication interference threshold, no detection and management measures are taken; if the communication interference analysis index is not less than the communication interference threshold, obtaining an interference type division interval from the preset database; if the communication interference analysis index is within the first interval, cutting off the smart home's occupation of the frequency band according to the preset priority of the smart home device; if the communication interference analysis index is within the third interval, automatically downgrading the router's transmission frequency and limiting the number of devices connected to the router, otherwise prompting the user to use a wired connection for Bluetooth devices in fixed locations; the interference type division interval includes a first interval, a second interval and a third interval.

[0017] Furthermore, the specific acquisition process of the communication quality evaluation index is as follows: obtain the communication analysis weight from a preset database, the communication analysis weight including the communication interference weight and the quality characteristic weight; perform inverse hyperbolic sine processing and mean operation on the quality characteristic data to obtain the quality characteristic value; obtain the communication quality evaluation index based on the result of logarithmic processing of the quality characteristic value, the communication analysis weight and the communication interference analysis index.

[0018] Furthermore, the specific process of taking corresponding communication equipment optimization management measures is as follows: if the communication quality evaluation index is not greater than the quality characteristic threshold, no communication equipment optimization management measures are taken; if the communication quality evaluation index is greater than the quality characteristic threshold, communication equipment optimization management measures are taken, and the communication equipment optimization management measures include optimizing router layout and enabling independent frequency bands; optimizing router layout means increasing the distance between the router and obstacles and interference sources; enabling independent frequency bands means setting the preset frequency band as an independent frequency band and enabling it.

[0019] In an embodiment of the present application, a communication equipment detection and management method based on the Internet of Things is provided, comprising the following steps: obtaining communication transmission data of the current frequency band communication environment within a preset detection period through the Internet of Things to obtain a transmission interference factor, wherein the transmission interference factor is used to quantify the degree of interference caused by network characteristics on transmission, and the communication transmission data includes network performance data and signal quality data; combining the communication detection interference analysis data obtained within the preset detection period with the transmission interference factor to obtain a communication interference analysis index, and taking corresponding detection and management measures based on the communication interference analysis index, wherein the communication interference analysis index is used to determine the type of interfering communication equipment; obtaining quality characteristic data of the corresponding type of interfering communication equipment after taking detection and management measures within the preset detection period, combining the quality characteristic data with the communication interference analysis index to obtain a communication quality evaluation index, and taking corresponding communication equipment optimization management measures according to the communication quality evaluation index, wherein the communication quality evaluation index is used to comprehensively reflect the data transmission quality of the communication equipment on the current frequency band after taking the corresponding detection and management measures.

[0020] In an embodiment of the present application, a device is provided for use in the IoT-based communication equipment detection and management system, including a data acquisition tool, a storage device, and a processing device; wherein the data acquisition tool is used to collect communication detection interference analysis data, communication transmission data, and quality characteristic data; the storage device is used to store communication detection interference analysis data, communication transmission data, and quality characteristic data; and the processing device is used to perform communication equipment detection management and take detection management measures based on the data stored in the storage device.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. The communication transmission data of the current frequency band communication environment within a preset detection period is obtained through the Internet of Things to obtain the transmission interference factor, which is combined with the communication detection interference analysis data obtained within the preset detection period to obtain the communication interference analysis index, and then corresponding detection management measures are taken based on the communication interference analysis index. Then, the quality characteristic data of the corresponding type of interfering communication equipment after the detection management measures are taken within the preset detection period is obtained and combined with the communication interference analysis index to obtain the communication quality evaluation index. Finally, corresponding communication equipment optimization management measures are taken accordingly, thereby timely reducing the mutual interference between communications of multiple communication devices, thereby achieving the improvement of the smoothness of communication of multiple communication devices in the same frequency band, and effectively solving the problem of mutual interference among multiple communication devices when communicating in the same frequency band in the prior art.

[0023] 2. By numbering the preset detection cycles and obtaining the transmission analysis weights from the preset database, the network performance data and signal quality data are then preprocessed to unify the dimensions, and the preprocessed network performance data and the processed data of the network performance weight, the signal quality data and the processed data of the signal quality weight are summed to obtain the transmission coefficient, and finally the hyperbolic tangent is processed to obtain the transmission interference factor, thereby more accurately quantifying the degree of interference caused by network characteristics on transmission, and then realizing the change to accurately determine the type of interfering communication equipment.

[0024] 3. By obtaining the communication analysis weight from the preset database, and then performing inverse hyperbolic sine processing and mean operation on the quality characteristic data, the quality characteristic value is obtained. Finally, the communication quality evaluation index is obtained according to the result of logarithmic processing of the quality characteristic value, the communication analysis weight and the communication interference analysis index, thereby more accurately reflecting the data transmission quality of the communication equipment after taking measures, and then taking corresponding measures in time to improve the smoothness of communication transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A schematic diagram of the structure of a communication equipment detection and management system based on the Internet of Things provided in an embodiment of the present application;

[0026] Figure 2 A schematic diagram of the communication quality evaluation index provided in an embodiment of the present application changing with the signal conflict rate;

[0027] Figure 3 A schematic diagram of the communication quality evaluation index according to the bit error rate provided in the embodiment of the present application;

[0028] Figure 4 A schematic diagram of the communication quality evaluation index provided in an embodiment of the present application changing with the proportion of channel usage time;

[0029] Figure 5 A schematic diagram showing the change in the communication quality evaluation index according to the proportion of idle frequency bands provided in an embodiment of the present application;

[0030] Figure 6 A schematic diagram of the communication quality evaluation index according to the communication interference analysis index provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The embodiment of the present application solves the problem of mutual interference between multiple communication devices when communicating in the same frequency band in the prior art by providing a communication equipment detection management system, method and equipment based on the Internet of Things. The preset detection period is numbered and the transmission analysis weight is obtained from the preset database. Then, the network performance data and the signal quality data are respectively preprocessed to unify the dimension. Then, the network performance data after data preprocessing and the processed data of the network performance weight, the signal quality data and the processed data of the signal quality weight are summed to obtain the transmission coefficient. Then, the transmission interference factor is obtained by performing hyperbolic tangent processing on the data, and the transmission interference factor is combined with the communication detection interference analysis data obtained in the preset detection period to obtain the communication interference analysis index. Then, corresponding detection management measures are taken based on the communication interference analysis index. Then, the communication analysis weight is obtained from the preset database, and the quality characteristic data is respectively processed by inverse hyperbolic sine and mean operation to obtain the quality characteristic value. Then, the communication quality evaluation index is obtained according to the result of logarithmic processing of the quality characteristic value, the communication analysis weight and the communication interference analysis index. Finally, corresponding communication equipment optimization management measures are taken accordingly, so as to improve the smoothness of communication of multiple communication devices in the same frequency band.

[0032] The technical solution in the embodiment of the present application is to solve the problem of mutual interference between the above-mentioned multiple communication devices when communicating in the same frequency band. The overall idea is as follows:

[0033] The communication transmission data of the current frequency band communication environment within the preset detection period is obtained through the Internet of Things to obtain the transmission interference factor, which is combined with the communication detection interference analysis data obtained within the preset detection period to obtain the communication interference analysis index. Then, corresponding detection management measures are taken based on the communication interference analysis index. Finally, the quality characteristic data of the corresponding type of interfering communication equipment after taking detection management measures within the preset detection period is obtained and combined with the communication interference analysis index to obtain the communication quality assessment index to take corresponding communication equipment optimization management measures, thereby achieving the effect of improving the smoothness of communication of multiple communication devices within the same frequency band.

[0034] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0035] like Figure 1As shown, it is a structural schematic diagram of a communication equipment detection and management system based on the Internet of Things provided in an embodiment of the present application. The communication equipment detection and management system based on the Internet of Things provided in an embodiment of the present application includes: a communication environment evaluation module, a communication interference analysis module and a detection management effect module; wherein the communication environment evaluation module is used to obtain the communication transmission data of the current frequency band communication environment within a preset detection period through the Internet of Things to obtain a transmission interference factor, and the transmission interference factor is used to quantify the degree of interference caused by network characteristics to transmission, and the communication transmission data includes network performance data and signal quality data; the communication interference analysis module is used to combine the communication detection interference analysis data obtained within the preset detection period with the transmission interference factor to obtain a communication interference analysis index, and take corresponding detection management measures based on the communication interference analysis index, and the communication interference analysis index is used to determine the type of interfering communication equipment; the detection management effect module is used to obtain the quality characteristic data of the corresponding type of interfering communication equipment after taking detection management measures within the preset detection period, and combine the quality characteristic data with the communication interference analysis index to obtain a communication quality evaluation index, and take corresponding communication equipment optimization management measures according to the communication quality evaluation index, and the communication quality evaluation index is used to comprehensively reflect the data transmission quality of the communication equipment on the current frequency band after taking the corresponding detection management measures.

[0036] In this embodiment, the entire system can improve the communication efficiency and quality of communication equipment through real-time monitoring, precise analysis and effective management, which not only helps to reduce communication failures and interruptions, but also improves the smoothness of communication equipment transmission and meets the growing communication needs, especially in the home environment. At the same time, the implementation of the system relies on Internet of Things technology and data analysis algorithms to realize the intelligent and automated management of communication equipment.

[0037] It should be added that the communication detection interference analysis data includes signal strength, channel utilization, interference strength variance, frequency hopping and packet loss rate; the packet loss rate includes the packet loss rate of Bluetooth devices, the packet loss rate of Wi-Fi devices and the packet loss rate of smart home devices; the network performance data includes the packet retransmission rate, packet loss rate, channel bandwidth occupancy and network delay; the signal quality data includes the signal-to-noise ratio, received signal strength, wireless channel noise and wireless interference index; the quality characteristic data includes the signal conflict rate, bit error rate, channel usage time ratio and idle frequency band ratio.

[0038] Specifically, the signal strength is obtained using the command line tool iwconfig, the channel utilization is obtained using Wireshark, the noise intensity on the wireless channel is measured using a spectrum analyzer, and the interference intensity variance is counted. Professional equipment (such as Ellisys Bluetooth Tracker) can record the frequency hopping sequence and switching rate of the Bluetooth device to obtain the frequency hopping rate. The packet loss rate is counted using the router's diagnostic tool; the packet retransmission rate and packet loss rate are obtained through Wireshark, the channel bandwidth occupancy is obtained using a Wi-Fi analysis tool (such as Ekahau Pro), the network delay is obtained using the Ping tool, the signal-to-noise ratio is directly obtained using a Wi-Fi analysis tool (such as NetSpot, Acrylic Wi-Fi Analyzer), the received signal strength is obtained through Wireshark, the wireless channel noise is directly measured using a spectrum analyzer (such as MetaGeek Wi-Spy), and the wireless interference index is obtained by using the Wi-Fi analysis tool to calculate the channel utilization, noise level, and interference signal strength; the signal conflict rate and bit error rate are obtained through Wireshark, and the channel usage time ratio and idle frequency band ratio are obtained by using a Wi-Fi analysis tool (such as MetaGeek Chanalyzer or AirMagnet); the acquisition of the above data provides a strong foundation for subsequent data analysis.

[0039] Furthermore, the specific method for obtaining the transmission interference factor is as follows: number the preset detection cycle and obtain the transmission analysis weight from the preset database, the transmission analysis weight including the network performance weight and the signal quality weight; perform data preprocessing on the network performance data and the signal quality data respectively to unify the dimensions; sum the processed data of the network performance data and the network performance weight after data preprocessing with the processed data of the signal quality data and the signal quality weight after data preprocessing to obtain the transmission coefficient; and obtain the transmission interference factor by performing hyperbolic tangent processing on the transmission coefficient.

[0040] The specific limiting expression of the transmission interference factor is as follows:

[0041]

[0042] Where n represents the number of the preset detection cycle, n = 1, 2, ..., N, N represents the total number of preset detection cycles, PR n Indicates the packet retransmission rate of the nth preset detection cycle, TP n Indicates the packet loss rate of the nth preset detection cycle, CB n Indicates the channel bandwidth occupancy of the nth preset detection cycle, NL n Indicates the network delay of the nth preset detection cycle, SN nRepresents the signal-to-noise ratio of the nth preset detection cycle, RS n Indicates the received signal strength of the nth preset detection cycle, WN n Indicates the wireless channel noise of the nth preset detection cycle, WI n represents the wireless interference index of the nth preset detection cycle, ρ represents the network performance weight, τ represents the signal quality weight, TI n represents the transmission interference factor of the nth preset detection period, and e represents a natural constant.

[0043] In this embodiment, the algorithm combines network performance data, signal quality data and transmission analysis weights for comprehensive analysis to obtain a transmission interference factor, wherein as network performance data (i.e., packet retransmission rate, packet loss rate, channel bandwidth occupancy, network delay) and wireless channel noise and wireless interference index in signal quality data increase, the transmission interference factor also increases accordingly, and as the signal-to-noise ratio and received signal strength increase, the transmission interference factor decreases accordingly, indicating that the worse the network performance and the worse the signal quality, the greater the interference to communication transmission. The obtained transmission interference factor helps to make subsequent data analysis more accurate, thereby more accurately improving the fluency of communication equipment.

[0044] Specifically, the parameters involved in the processing of the transmission interference factor in this algorithm are interrelated and do not exist independently. Among them, when the packet loss rate is high, the device will try to resend the lost data packets, so the data packet retransmission rate will increase. Retransmission increases additional data traffic, which directly leads to an increase in the channel bandwidth occupancy rate. When the packet loss rate increases, the device compensates for the lost data through the retransmission mechanism, so the retransmission rate will increase accordingly. When the packet loss rate is too high, the transmission efficiency decreases, and the network delay will increase nonlinearly. When the bandwidth occupancy rate is high, the queuing delay of the network increases, thereby significantly increasing the overall network delay. When the bandwidth occupancy rate is too high, the data packets need to queue in the channel, and the queuing time increases the delay; the higher the channel noise level, the lower the signal-to-noise ratio; conversely, the lower the channel noise, the higher the signal-to-noise ratio. The signal-to-noise ratio is positively correlated with the received signal strength: the greater the signal strength, the higher the signal-to-noise ratio, interference will increase the fluctuation and total level of channel noise, and when the wireless interference index is high, the received signal strength will show large fluctuations, especially in the case of co-channel or adjacent channel interference.

[0045] Specifically, the network performance weight refers to the weight value that matches the network performance data in the preset database, and the weight value measures the degree of influence of the network performance data on the transmission interference factor. In practical applications, the weight corresponding to the network performance data is directly extracted from the preset database. This correspondence is achieved through a predefined mapping relationship. Specifically, a mapping set is established, which contains the weights corresponding to the network performance data and the transmission interference factors preset in the preset database. When the real-time network performance data is input into this mapping set, the corresponding weight value can be found. For example, the mapping relationship is set to one-to-one, and at the same time, the range of weight values ​​is limited to between 0 and 1; in this example, the sum of the network performance weight and the signal quality weight is 1.

[0046] Furthermore, the specific acquisition process of the communication interference analysis index is as follows: obtain reference data packet data of various types of home communication devices from a preset database, and perform data preprocessing on the detection interference analysis data to unify the dimension, the reference data packet data includes the minimum packet loss rate of Bluetooth devices, the minimum packet loss rate of Wi-Fi devices and the minimum packet loss rate of smart home devices; determine whether the packet loss rate and the corresponding reference data packet data meet the judgment conditions, if the judgment conditions are met, obtain the packet coefficient according to the packet loss rate and the corresponding reference data packet data, otherwise the corresponding packet coefficient is recorded as 0; the judgment condition indicates that the packet loss rate of Bluetooth devices, the packet loss rate of Wi-Fi devices and the packet loss rate of smart home devices are all less than the corresponding reference data packet data; if the hopping frequency of the Bluetooth device within the preset detection period is greater than 0, the hopping frequency value is recorded as 1, otherwise the hopping frequency value is recorded as 0, and the hopping frequency value is used to indicate the frequency hopping degree of the Bluetooth device; the acquired transmission interference factor is processed with the communication detection interference analysis data, the hopping frequency value and the data packet coefficient to obtain the communication interference analysis index.

[0047] The specific limiting expression of the communication interference analysis index is as follows:

[0048]

[0049]

[0050] Where n represents the number of the preset detection cycle, n = 1, 2, ..., N, N represents the total number of preset detection cycles, si n Indicates the signal strength of the nth preset detection cycle, cv n represents the channel utilization rate of the nth preset detection cycle, iv n represents the interference intensity variance of the nth preset detection cycle, fh n Indicates the frequency hopping of the nth preset detection cycle, bl n Indicates the Bluetooth device packet loss rate in the nth preset detection cycle, wln Indicates the packet loss rate of the Wi-Fi device in the nth preset detection cycle, pl n Indicates the packet loss rate of smart home devices in the nth preset detection cycle, FH n Indicates the frequency hopping value of the nth preset detection cycle, SJ n Indicates the packet coefficient of the nth preset detection cycle, bl min Indicates the minimum packet loss rate of Bluetooth devices, wl min Indicates the minimum packet loss rate of Wi-Fi devices, pl min Indicates the minimum packet loss rate of smart home devices, TI n Indicates the transmission interference factor of the nth preset detection cycle, CI n Indicates the communication interference analysis index of the nth preset detection cycle.

[0051] In this embodiment, the algorithm combines the transmission interference factor with the communication detection interference analysis data, the frequency hopping value and the data packet coefficient to obtain the communication interference analysis index. In the formula, the communication detection interference analysis data, the frequency hopping value and the data packet coefficient are positively correlated with the communication interference analysis index, and the transmission interference factor is negatively correlated with the communication interference analysis index. According to the detection interference analysis data after data preprocessing and the transmission interference factor, the data change table of the communication interference analysis index is obtained, as shown in Table 1:

[0052] Table 1 Data change table of communication interference analysis index

[0053]

[0054] It can be seen from Table 1 that when the transmission interference factor remains unchanged at 0.3, the signal strength increases from 0.6 in the first row to 0.8 in the second row, the channel utilization increases from 0.7 in the first row to 0.9 in the second row, the interference strength variance increases from 0.4 in the first row to 0.5 in the second row, the frequency hopping value increases from 0 in the first row to 1 in the second row, the packet coefficient increases from 0.5 in the first row to 0.8 in the second row, and the corresponding communication interference analysis index increases from 0.70 in the first row to 1.81 in the second row, indicating that the communication detection interference analysis data, frequency hopping value and packet coefficient are consistent with The communication interference analysis index is positively correlated; when the communication detection interference analysis data, frequency hopping value and data packet coefficient remain unchanged, the transmission interference factor increases from 0.5 in the third row to 0.7 in the fourth row, and the corresponding communication interference analysis index decreases from 0.73 in the third row to 0.44 in the fourth row, indicating that the transmission interference factor is negatively correlated with the communication interference analysis index; through the analysis of the communication interference analysis index, the interference degree of the same frequency band when multiple communication devices communicate is more accurately analyzed, so that corresponding measures can be taken in time to make adjustments to improve the smoothness of communication transmission of communication equipment.

[0055] It should be added that the packet coefficient-related algorithm combines the packet loss rate and the reference packet data for comprehensive analysis to obtain the communication interference analysis index, where when the packet loss rate and the corresponding reference packet data meet the judgment conditions, the relative deviation of the Bluetooth device packet loss rate from the minimum value of the Bluetooth device packet loss rate (i.e. ) is smaller, the corresponding packet coefficient is smaller, indicating that the possibility of abnormal packet loss rate is greater. Similarly, the relative deviation between the packet loss rate of Wi-Fi devices and the minimum packet loss rate of Wi-Fi devices (i.e. ) is smaller, the corresponding packet coefficient is smaller, indicating that the possibility of abnormal packet loss rate is greater. Similarly, the relative deviation between the packet loss rate of home devices and the minimum packet loss rate of home devices (i.e. ) is smaller, the corresponding data packet coefficient is smaller, indicating that the possibility of abnormal data packet loss rate is greater; by analyzing the data packet loss rate separately, the interference degree of abnormal data packet situation on communication transmission is analyzed more accurately, which helps to obtain a more accurate communication interference analysis index.

[0056] Specifically, the specific expression of the sigmoid function is as follows:

[0057]

[0058] Here, x represents the input of the function and y represents the output of the function.

[0059] Specifically, the reference data packet data is obtained from a preset database. In a specific embodiment, the reference data packet data is specifically set by a preset staff according to the communication equipment detection management requirements.

[0060] Specifically, the parameters involved in the processing of the communication interference analysis index in this algorithm are interrelated and do not exist independently. Among them, when the interference intensity variance increases (interference fluctuates frequently and is unstable), even if the signal strength is strong, the communication quality may still be seriously affected. When the signal strength is weak, Bluetooth or other frequency hopping technologies may increase the number of frequency switching due to the inability to establish a stable connection. When the signal strength is weak, the bit error rate increases, resulting in an increase in the packet loss rate. The fluctuation of interference intensity will reduce the transmission efficiency of the device on the channel, resulting in a longer time to transmit the same data, thereby increasing channel utilization. When the interference intensity fluctuates greatly, the spectrum management algorithm (such as Bluetooth's frequency hopping mechanism) will try to switch channels more frequently, and the hopping frequency will increase accordingly. When the hopping frequency is high, the packet loss rate may increase, especially when the data is not successfully transmitted during the switching period. When the hopping frequency is high, frequent channel switching may cause some data packets to fail to be transmitted correctly, thereby increasing the loss rate.

[0061] Furthermore, the specific process of taking corresponding detection and management measures is as follows: obtain a communication interference threshold from a preset database and compare it with a communication interference analysis index: if the communication interference analysis index is less than the communication interference threshold, no detection and management measures are taken; if the communication interference analysis index is not less than the communication interference threshold, obtain the interference type division interval from the preset database; if the communication interference analysis index is within the first interval, it indicates that the interference type is a smart home device, and the smart home's occupation of the frequency band is cut off according to the preset priority of the smart home device; if the communication interference analysis index is within the third interval, it indicates that the interference type is a Wi-Fi device, and the router's transmission frequency is automatically downgraded and the number of devices connected to the router is limited, otherwise it indicates that the interference type is a Bluetooth device, and the user is prompted to use a wired connection for the Bluetooth device in a fixed position; the interference type division interval includes a first interval, a second interval and a third interval.

[0062] In this embodiment, the detection and management measures are automated and intelligent from interference detection to management through scientific classification and targeted optimization methods, which can effectively reduce the interference problem of wireless communications, optimize network resource allocation and equipment performance, and provide a feasible solution for smart home and Internet of Things network environments.

[0063] Specifically, the communication interference threshold is obtained from a preset database. In a specific embodiment, the communication detection interference analysis data of the communication interference interruption in the historical data is substituted into the specific restriction expression of the communication interference analysis index to obtain the corresponding data set, and the data set is averaged to obtain the communication interference threshold.

[0064] Specifically, the interference type classification interval is obtained from a preset database. In a specific embodiment, the communication detection interference analysis data of the communication interference interruption caused by the smart home device in the historical data is substituted into the specific restriction expression of the communication interference analysis index to obtain the corresponding data set, and the data set is averaged to obtain the first mean, and then the communication detection interference analysis data of the communication interference interruption caused by the Wi-Fi device in the historical data is substituted into the specific restriction expression of the communication interference analysis index to obtain the corresponding data set, and the data set is averaged to obtain the second mean, then the range corresponding to 0 to the first mean is the first interval, the range corresponding to the second mean and the first mean is the second interval, otherwise it is the third interval.

[0065] Furthermore, the specific process of obtaining the communication quality evaluation index is as follows: obtaining the communication analysis weight from the preset database, the communication analysis weight including the communication interference weight and the quality characteristic weight; performing inverse hyperbolic sine processing and mean operation on the quality characteristic data to obtain the quality characteristic value; obtaining the communication quality evaluation index according to the result of logarithmic processing of the quality characteristic value, the communication analysis weight and the communication interference analysis index.

[0066] The specific restricted expression of the communication quality evaluation index is as follows:

[0067]

[0068] Where n represents the number of the preset detection cycle, n = 1, 2, ..., N, N represents the total number of preset detection cycles, SC n Indicates the signal conflict rate of the nth preset detection cycle, ER n Indicates the bit error rate of the nth preset detection cycle, UT n Indicates the channel usage time ratio of the nth preset detection cycle, PB n represents the proportion of idle frequency bands in the nth preset detection cycle, γ represents the communication interference weight, θ represents the quality characteristic weight, CI n represents the communication interference analysis index of the nth preset detection cycle, and QI represents the communication quality assessment index of the nth preset detection cycle.

[0069] In this embodiment, the algorithm combines the quality characteristic data, the communication analysis weight and the communication interference analysis index to obtain the communication quality evaluation index, wherein the signal conflict rate, the bit error rate, the channel usage time ratio and the idle frequency band ratio as well as the communication interference analysis index are all positively correlated with the communication quality evaluation index.

[0070] Specifically, assume that the communication interference weight is 0.3 and the quality characteristic weight is 0.7, such as Figure 2 As shown, it is a schematic diagram of the communication quality evaluation index provided by the embodiment of the present application as the signal conflict rate changes, (a) is a curve of the communication quality evaluation index as the signal conflict rate changes, where it is assumed that the bit error rate, the channel usage time ratio and the idle frequency band ratio and the communication interference analysis index are all 0, such as Figure 3 As shown, Figure 3 A schematic diagram of the communication quality evaluation index varying with the bit error rate provided in the embodiment of the present application, (b) is a curve of the communication quality evaluation index varying with the bit error rate, wherein it is assumed that the signal conflict rate, the channel usage time ratio, the idle frequency band ratio, and the communication interference analysis index are all 0, such as Figure 4 As shown, Figure 4 A schematic diagram of the communication quality evaluation index provided in the embodiment of the present application as a function of the channel usage time ratio, (c) is a curve of the communication quality evaluation index as a function of the channel usage time ratio, wherein it is assumed that the signal conflict rate, bit error rate, idle frequency band ratio, and communication interference analysis index are all 0, such as Figure 5 As shown, Figure 5A schematic diagram of the communication quality evaluation index provided in the embodiment of the present application as the proportion of idle frequency bands changes, (d) is a curve of the communication quality evaluation index as the proportion of idle frequency bands changes, where it is assumed that the signal conflict rate, bit error rate, channel usage time ratio and communication interference analysis index are all 0, such as Figure 6 As shown, Figure 6 A schematic diagram of the communication quality evaluation index provided in the embodiment of the present application as the communication interference analysis index changes, (e) is a curve of the communication quality evaluation index as the communication interference analysis index changes, wherein it is assumed that the signal conflict rate, bit error rate, channel usage time ratio and idle frequency band ratio are all 0. It can be seen from the above image that with the increase of the signal conflict rate, bit error rate, channel usage time ratio and idle frequency band ratio and the communication interference analysis index, the corresponding communication quality evaluation index also increases accordingly, and the images all show an upward trend; through the analysis of the communication quality evaluation index, it is helpful to more accurately evaluate the effectiveness of the detection and management measures, and at the same time more accurately evaluate the communication quality so as to take corresponding measures to improve the smoothness of communication transmission.

[0071] Specifically, the parameters involved in the processing of the communication quality evaluation index in this algorithm are interrelated and do not exist independently. Among them, signal conflict will cause signal overlap or interference, increase the bit error rate of the data packet, and a high channel usage time ratio will lead to intensified channel competition and increased signal conflict rate. A high channel usage time ratio may cause spectrum overload and reduce signal transmission quality, thereby increasing the bit error rate. The lower the proportion of idle frequency bands, the higher the bit error rate. When the channel is too busy, multiple devices competing for resources at the same time will increase the occurrence rate of conflicts. In a crowded spectrum environment, the reduction of idle frequency bands will force devices to share limited spectrum resources, increasing the probability of conflicts.

[0072] Specifically, the weight of communication interference is a weight value that matches the communication interference analysis index in the preset database, which reflects the degree of influence of the communication interference analysis index in evaluating the communication quality. In the application, the weight corresponding to the communication interference analysis index can be directly retrieved from the preset database. This correspondence is established through a predefined mapping relationship. For example, a mapping set can be constructed, which contains the weights corresponding to the communication interference analysis index and the communication quality evaluation index in the preset database. When the real-time communication interference analysis index is input into this mapping set, the corresponding weight value can be found. In this example, the mapping relationship is one-to-one, and the range of weight values ​​is limited to between 0 and 1. In this example, the sum of the communication interference weight and the quality characteristic weight is 1.

[0073] Furthermore, the specific process of taking corresponding communication equipment optimization management measures is as follows: obtain the quality characteristic threshold from the preset database, and compare it numerically with the communication quality evaluation index: if the communication quality evaluation index is not greater than the quality characteristic threshold, no communication equipment optimization management measures are taken; if the communication quality evaluation index is greater than the quality characteristic threshold, communication equipment optimization management measures are taken, and the communication equipment optimization management measures include optimizing router layout and enabling independent frequency bands; optimizing router layout means increasing the distance between the router and obstacles and interference sources; enabling independent frequency bands means setting the preset frequency band as an independent frequency band and enabling it.

[0074] In this embodiment, by implementing optimization management measures, such as optimizing router layout and enabling independent frequency bands, communication interference can be effectively reduced, the performance of communication equipment and the quality of data transmission can be improved, and independent frequency band settings can avoid frequency band conflicts, reduce the occurrence of communication interruptions and failures, and enhance the stability of the communication system. At the same time, by comparing the quality characteristic thresholds and the communication quality evaluation index in the preset database, it can be intelligently determined whether to take optimization management measures, thereby avoiding unnecessary waste of resources and management costs.

[0075] Specifically, the quality characteristic threshold is obtained from a preset database. In a specific embodiment, the quality characteristic data of communication interference interruption in the historical data is substituted into the specific restriction expression of the communication quality evaluation index to obtain the corresponding data set, and the data set is averaged to obtain the quality characteristic threshold.

[0076] The embodiment of the present application provides a communication equipment detection and management method based on the Internet of Things, comprising the following steps: obtaining communication transmission data of the current frequency band communication environment within a preset detection period through the Internet of Things to obtain a transmission interference factor, the transmission interference factor is used to quantify the degree of interference caused by network characteristics on transmission, and the communication transmission data includes network performance data and signal quality data; combining the communication detection interference analysis data obtained within the preset detection period with the transmission interference factor to obtain a communication interference analysis index, taking corresponding detection management measures based on the communication interference analysis index, and the communication interference analysis index is used to determine the type of interfering communication equipment; obtaining quality characteristic data of the corresponding type of interfering communication equipment after taking detection management measures within the preset detection period, combining the quality characteristic data with the communication interference analysis index to obtain a communication quality evaluation index, and taking corresponding communication equipment optimization management measures according to the communication quality evaluation index, and the communication quality evaluation index is used to comprehensively reflect the data transmission quality of the communication equipment on the current frequency band after taking the corresponding detection management measures.

[0077] In this embodiment, the entire method relies on Internet of Things technology and data analysis algorithms to realize the intelligent and automated management of communication equipment, which reduces the cost of manual management, improves management efficiency, and enhances the flexibility and responsiveness of communication equipment management. At the same time, this method helps to promote the further development of communication technology and improve the overall quality and efficiency of communication services.

[0078] The embodiment of the present application is applied to the equipment of the communication equipment detection and management system based on the Internet of Things, including a data acquisition tool, a storage device and a processing device; wherein the data acquisition tool is used to collect communication detection interference analysis data, communication transmission data and quality characteristic data, and the data acquisition tool includes but is not limited to the command line tool iwconfig, Wireshark, spectrum analyzer, Ping tool and Wi-Fi analysis tool; the storage device is used to store communication detection interference analysis data, communication transmission data and quality characteristic data; the processing device is used to perform communication equipment detection management and take detection management measures according to the data stored in the storage device.

[0079] To summarize, the embodiment of the present application obtains the communication transmission data of the current frequency band communication environment within a preset detection period through the Internet of Things to obtain the transmission interference factor, combines it with the communication detection interference analysis data obtained within the preset detection period to obtain the communication interference analysis index, and then takes corresponding detection management measures based on the communication interference analysis index, and then obtains the quality characteristic data of the corresponding type of interfering communication equipment after taking the detection management measures within the preset detection period and combines it with the communication interference analysis index to obtain the communication quality evaluation index, and finally takes corresponding communication equipment optimization management measures accordingly, thereby timely reducing the mutual interference between communications of multiple communication devices, thereby achieving the improvement of the smoothness of communication of multiple communication devices in the same frequency band, and effectively solving the problem of mutual interference among multiple communication devices when communicating in the same frequency band in the prior art.

[0080] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0081] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0082] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0083] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0084] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0085] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. The communication equipment detection and management system based on the Internet of Things is characterized by: include: Communication environment assessment module, communication interference analysis module and detection management effect module; The communication environment assessment module is used to obtain the communication transmission data of the current frequency band communication environment within a preset detection period through the Internet of Things to obtain a transmission interference factor, and the transmission interference factor is used to quantify the degree of interference caused by network characteristics on transmission. The communication transmission data includes network performance data and signal quality data; The communication interference analysis module is used to combine the communication detection interference analysis data acquired within a preset detection period with the transmission interference factor to obtain a communication interference analysis index, and take corresponding detection management measures based on the communication interference analysis index, and the communication interference analysis index is used to determine the type of interference communication equipment; The detection management effect module is used to obtain quality characteristic data of the corresponding type of interfering communication equipment after detection management measures are taken within a preset detection period, combine the quality characteristic data with the communication interference analysis index to obtain a communication quality evaluation index, and take corresponding communication equipment optimization management measures based on the communication quality evaluation index. The communication quality evaluation index is used to comprehensively reflect the data transmission quality of the communication equipment on the current frequency band after the corresponding detection management measures are taken.

2. The communication equipment detection and management system based on the Internet of Things as claimed in claim 1, characterized in that: The communication detection interference analysis data includes signal strength, interference strength variance, channel overlap rate, frequency hopping rate and data packet loss rate; The data packet loss rate includes the packet loss rate of Bluetooth devices, the packet loss rate of Wi-Fi devices and the packet loss rate of smart home devices; The network performance data includes data packet retransmission rate, packet loss rate, channel bandwidth occupancy, and network delay; The signal quality data includes signal-to-noise ratio, received signal strength, wireless channel noise and wireless interference index; The quality characteristic data include signal conflict rate, bit error rate, channel usage time ratio and idle frequency band ratio.

3. The communication equipment detection and management system based on the Internet of Things as claimed in claim 2, characterized in that: The specific method of obtaining the transmission interference factor is as follows: Numbering the preset detection cycles and acquiring transmission analysis weights from a preset database, wherein the transmission analysis weights include network performance weights and signal quality weights; Perform data preprocessing on network performance data and signal quality data to unify the dimensions; The network performance data after data preprocessing and the processed data of the network performance weight are summed with the signal quality data after data preprocessing and the processed data of the signal quality weight to obtain a transmission coefficient; The transmission interference factor is obtained by performing hyperbolic tangent processing on the transmission coefficient.

4. The communication equipment detection and management system based on the Internet of Things as claimed in claim 2, characterized in that: The specific process of obtaining the communication interference analysis index is as follows: Acquire reference data packet data of various types of home communication devices from a preset database, and perform data preprocessing on the detection interference analysis data to unify the dimension, wherein the reference data packet data includes the minimum packet loss rate of Bluetooth devices, the minimum packet loss rate of Wi-Fi devices, and the minimum packet loss rate of smart home devices; Determine whether the packet loss rate and the corresponding reference packet data meet the determination conditions. If the determination conditions are met, obtain the packet coefficient according to the packet loss rate and the corresponding reference packet data. Otherwise, record the corresponding packet coefficient as 0. The determination condition indicates that the packet loss rate of the Bluetooth device, the packet loss rate of the Wi-Fi device, and the packet loss rate of the smart home device are all less than the corresponding reference data packet data; If the frequency hopping rate of the Bluetooth device within the preset detection period is greater than 0, the frequency hopping value is recorded as 1, otherwise the frequency hopping value is recorded as 0. The frequency hopping value is used to indicate the frequency hopping degree of the Bluetooth device; The acquired transmission interference factor is processed with the communication detection interference analysis data, the frequency hopping value and the data packet coefficient to obtain the communication interference analysis index.

5. The communication equipment detection and management system based on the Internet of Things as claimed in claim 4, characterized in that: The specific limiting expression of the communication interference analysis index is as follows: Where n represents the number of the preset detection cycle, n = 1, 2, ..., N, N represents the total number of preset detection cycles, si n Indicates the signal strength of the nth preset detection cycle, cv n represents the channel utilization rate of the nth preset detection cycle, iv n Indicates the interference intensity variance of the nth preset detection cycle, FH n Indicates the frequency hopping value of the nth preset detection cycle, SJ n Indicates the packet coefficient of the nth preset detection cycle, TI n Indicates the transmission interference factor of the nth preset detection cycle, CI n Indicates the communication interference analysis index of the nth preset detection cycle.

6. The communication equipment detection and management system based on the Internet of Things as claimed in claim 1, characterized in that: The specific process of taking corresponding detection management measures is as follows: Get the communication interference threshold from the preset database and compare it with the communication interference analysis index: If the communication interference analysis index is less than the communication interference threshold, no detection management measures will be taken; If the communication interference analysis index is not less than the communication interference threshold, the interference type classification interval is obtained from the preset database; If the communication interference analysis index is within the first interval, the smart home device's occupation of the frequency band is cut off according to the preset priority of the smart home device; If the communication interference analysis index is within the third interval, the transmission frequency of the router will be automatically downgraded and the number of devices connected to the router will be limited. Otherwise, the user will be prompted to use wired connections for fixed-position Bluetooth devices. The interference type division intervals include a first interval, a second interval and a third interval.

7. The communication equipment detection and management system based on the Internet of Things as claimed in claim 1, characterized in that: The specific process of obtaining the communication quality evaluation index is as follows: Acquire communication analysis weights from a preset database, wherein the communication analysis weights include communication interference weights and quality characteristic weights; Perform inverse hyperbolic sine processing and mean operation on the quality characteristic data to obtain the quality characteristic value; The communication quality evaluation index is obtained according to the result of logarithmic processing of the quality characteristic value, the communication analysis weight and the communication interference analysis index.

8. The communication equipment detection and management system based on the Internet of Things as claimed in claim 1, characterized in that: The specific process of taking corresponding communication equipment optimization management measures is as follows: If the communication quality evaluation index is not greater than the quality characteristic threshold, no communication equipment optimization management measures will be taken; If the communication quality evaluation index is greater than the quality characteristic threshold, communication equipment optimization management measures are taken, and the communication equipment optimization management measures include optimizing router layout and enabling independent frequency bands; Optimizing the router layout means increasing the distance between the router and obstacles and interference sources; The enabling of the independent frequency band means setting the preset frequency band as an independent frequency band and enabling it.

9. A communication equipment detection and management method based on the Internet of Things, characterized in that: The following steps are involved: Acquiring communication transmission data of the current frequency band communication environment within a preset detection period through the Internet of Things to obtain a transmission interference factor, wherein the transmission interference factor is used to quantify the degree of interference caused by network characteristics on transmission, and the communication transmission data includes network performance data and signal quality data; The communication detection interference analysis data acquired within a preset detection period is combined with the transmission interference factor to obtain a communication interference analysis index, and corresponding detection management measures are taken based on the communication interference analysis index, wherein the communication interference analysis index is used to determine the type of interfering communication equipment; Acquire quality characteristic data of corresponding types of interfering communication equipment after taking detection management measures within a preset detection period, combine the quality characteristic data with the communication interference analysis index to obtain a communication quality evaluation index, and take corresponding communication equipment optimization management measures according to the communication quality evaluation index. The communication quality evaluation index is used to comprehensively reflect the data transmission quality of the communication equipment on the current frequency band after taking corresponding detection management measures.

10. The device applied to the communication equipment detection and management system based on the Internet of Things according to any one of claims 1 to 8, characterized in that: Includes data collection tools, storage devices, and processing equipment; Wherein, the data acquisition tool is used to collect communication detection interference analysis data, communication transmission data and quality characteristic data; The storage device is used to store communication detection interference analysis data, communication transmission data and quality characteristic data; The processing device is used to perform communication device detection management and take detection management measures according to the data stored in the storage device.

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