A method for networking Internet of Things of communication infrastructure

Abstract

The present invention discloses an Internet of Things networking method for communication infrastructure, and relates to the technical field of the Internet of Things. The present invention comprises: step one, station environment detection of urban rail, step two, station equipment detection of urban rail, and step three, Internet of Things analysis of urban rail. In step one, station environment detection of urban rail, the present invention analyzes the Internet of Things data environment compliance index of the urban rail station, avoids the unsafe environment of the urban rail station, promptly displays the Internet of Things environmental failure problem of the urban rail station, affects the adjustment of the Internet of Things networking to the environment, and thus improves the environmental safety of the urban rail station. In step two, station equipment detection of urban rail, the present invention analyzes the Internet of Things connection equipment qualification index of the urban rail station, reduces the dangerous safety problem of the equipment of the urban rail station, reduces the problem of resource consumption, and thus improves the transmission of device data by the Internet of Things networking.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to an Internet of Things networking method for communication infrastructure. Background Art

[0002] With the development of society and the advancement of urbanization, rail transit, as an efficient, environmentally friendly and safe mode of transportation, plays an increasingly important role in modern cities. As an important part of the new generation of information technology, the Internet of Things has also brought new opportunities for rail transit in its development. The key technologies of the Internet of Things have brought opportunities for intelligence, automation and networking to the rail transit system. However, the application of the Internet of Things technology in rail transit faces many challenges. The equipment and facilities in the rail transit system are widely distributed and the environment is complex, which puts higher requirements on the stability and reliability of the Internet of Things equipment. Therefore, it is extremely necessary to network the Internet of Things for urban rail.

[0003] The existing technology for information technology consulting can meet the basic requirements, but there are also some potential defects and challenges, which are specifically reflected in the following aspects: First, the existing technology has not conducted in-depth research on the compliance index of the Internet of Things data environment in urban rail stations, which has a vital impact on the environment of the Internet of Things regulating stations. If there is a lack of attention to the Internet of Things data environment in urban rail stations, it will affect the environmental safety of urban rail stations, and the Internet of Things environmental failure problems in urban rail stations cannot be displayed in time, which will affect the adjustment of the Internet of Things network to the environment, thereby reducing the environmental safety of urban rail stations.

[0004] 2. In the prior art, not much attention is paid to the qualification index of IoT connection equipment in urban rail stations. If there is a lack of attention to IoT connection equipment in urban rail stations, it will usually lead to dangerous safety situations of equipment in urban rail stations, resulting in longer information loading time for IoT networking debugging equipment. Due to the imperfections of the prior art, it is difficult to effectively manage station equipment, which increases the problem of resource consumption, and further affects the transmission of device data by IoT networking. Summary of the invention

[0005] The purpose of the present invention is to provide an Internet of Things networking method for a communication infrastructure, which solves the problems existing in the background technology.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an Internet of Things networking method for communication infrastructure, including step one, urban rail station environment detection: The Internet of Things collects air quality data of urban rail stations in various time periods by connecting gas sensors and temperature and humidity sensors, wherein the air quality data includes PM2.5, CO2 concentration, temperature and humidity, and then analyzes the Internet of Things data environment compliance index of the urban rail station.

[0007] Step 2: Station equipment detection of urban rail: It is used to detect the main controller of the power supply equipment connected to the Internet of Things, obtain the elevator operation data and monitoring work data of the urban rail station, and send the obtained elevator operation data and monitoring work data to the wireless network via wired connection, and then analyze the qualification index of the Internet of Things connection equipment in the urban rail station.

[0008] Step 3: IoT analysis of urban rail: Based on the obtained IoT data environment compliance index of urban rail stations and the IoT connection equipment qualification index of urban rail stations, determine whether the IoT of urban rail is operating normally. If an abnormality occurs, the operation status of the IoT station of urban rail will be fed back to the staff, and real-time data will be displayed to passengers for adjustment.

[0009] Furthermore, the Internet of Things data environment compliance index of the urban rail station is specifically calculated by obtaining the PM2.5 safety interval, CO2 concentration safety interval, temperature safety interval and humidity safety interval of the urban rail station from the database, and analyzing the Internet of Things data environment compliance index of the urban rail station based on the PM2.5, CO2 concentration, temperature and humidity of each time period of the urban rail station obtained, and the specific calculation formula is: , The first The time period data, among which It is represented as the number of the time period. , Indicates the first The safety interval of the data, .

[0010] Furthermore, the IoT connection equipment qualification index of the urban rail station is specifically calculated by: analyzing the IoT elevator information transmission compliance index of the urban rail station based on the obtained elevator operation data and monitoring work data of the urban rail station. And the IoT monitoring signal stability compliance index , and then analyze the qualified index of IoT connection equipment in urban rail stations. The specific calculation formula is: .

[0011] Furthermore, the IoT elevator information transmission compliance index of the urban rail station is obtained, and the specific method is as follows: based on the obtained elevator operation data of the urban rail station, wherein the elevator operation data includes the reception duration, the amount of received data and the bearing vibration value of the IoT fault information of each elevator in each time period of the IoT station, the IoT elevator fault information transmission compliance index of the urban rail station and the IoT elevator inspection information transmission compliance index of the urban rail station are analyzed.

[0012] Analyze the IoT elevator information transmission compliance index of urban rail stations, and the specific calculation formula is: ,in It is expressed as the qualified index of IoT elevator fault information transmission in urban rail stations, It is expressed as the IoT elevator inspection pass index of urban rail stations.

[0013] Furthermore, the qualified index of the IoT elevator fault information transmission of the urban rail station is specifically calculated by: based on the obtained reception duration and reception data of each IoT fault information of each elevator in each time period of the urban rail station, the qualified index of the IoT elevator fault information transmission of the urban rail station is analyzed, and the specific calculation formula is: ,in , They respectively represent the reference duration and number of reference data received for IoT fault information at urban rail stations. , They are respectively represented by the first Elevator No. The time period The receiving time and amount of data of IoT fault information, Represents the fault number of the Internet of Things, , Expressed as the number of IoT failures, , Indicates the number of the elevator. Expressed as the number of elevators.

[0014] Furthermore, the specific method of the IoT elevator inspection qualified index of the urban rail station is as follows: based on the bearing vibration value of the IoT fault information of each elevator in each time period of the urban rail, the IoT elevator inspection qualified index of the urban rail station is analyzed, and the specific calculation formula is: ,in The bearing vibration reference value represented as IoT fault information of urban rail stations, The first Elevator No. The bearing vibration value of IoT fault information in a certain time period.

[0015] Furthermore, the Internet of Things monitoring signal stability compliance index of the urban rail station is specifically calculated by: based on the monitoring work data of the urban rail station obtained, wherein the monitoring work data includes the signal conversion rate, data transmission duration and photoelectric conversion value of each Internet of Things monitoring in each time period of the urban rail station, analyzing the Internet of Things monitoring signal conversion compliance index of the urban rail station The IoT monitoring signal transmission compliance index of urban rail stations , and then analyze the stability compliance index of the IoT monitoring signal of the urban rail station. The specific calculation formula is: .

[0016] Furthermore, the IoT monitoring signal conversion compliance index of the urban rail station is specifically calculated by: based on the obtained signal conversion rate and photoelectric conversion value of each IoT monitoring signal of each time period of the urban rail station, the IoT monitoring signal conversion compliance index of the urban rail station is analyzed, and the specific calculation formula is: ,in, , They are respectively represented by the first The signal reference conversion rate and photoelectric reference conversion value monitored by the Internet of Things, , Indicates the number of IoT monitoring. Expressed as the number of IoT monitoring, , They are respectively represented by the first IoT monitoring The signal conversion rate and photoelectric conversion value of a time period.

[0017] Furthermore, the Internet of Things monitoring signal transmission compliance index of the urban rail station is specifically calculated by: based on the obtained data transmission duration of each time period of each Internet of Things monitoring of the urban rail station, the Internet of Things monitoring signal transmission compliance index of the urban rail station is analyzed, and the specific calculation method is: ,in The first IoT monitoring The data transmission duration of each time period, The first The reference transmission time of the data monitored by the IoT.

[0018] Furthermore, the operation status of the Internet of Things station of the urban rail is fed back to the staff, and its specific method is: through the environmental compliance index interval corresponding to the Internet of Things data environment networking method of each urban rail station stored in the database, and based on the obtained Internet of Things data environment compliance index of the urban rail station, the Internet of Things data environment networking method of the urban rail station is screened, and then the networking method suitable for replacing the Internet of Things data environment of the urban rail station is obtained, and the staff is reminded to upgrade the network of the data environment of the Internet of Things station of the urban rail, and increase the environmental matching requirements of the Internet of Things networking.

[0019] By using the connection equipment qualification index range corresponding to the requirements of the Internet of Things connection equipment networking methods of each urban rail station stored in the database, and based on the obtained Internet of Things connection equipment qualification index of the urban rail station, the Internet of Things connection equipment networking methods of the urban rail station are screened, and the networking methods suitable for replacing the Internet of Things connection equipment of the urban rail station are obtained, reminding the staff to upgrade the network of the equipment of the Internet of Things station of the urban rail and increase the equipment matching requirements for the Internet of Things networking.

[0020] The beneficial effect of the present invention is that in step one, in the station environment detection of the urban rail, the Internet of Things collects the air quality data of the urban rail station in each time period by connecting the gas sensor and the temperature and humidity sensor, analyzes the Internet of Things data environment compliance index of the urban rail station, avoids the unsafe situation of the urban rail station environment, promptly displays the Internet of Things environmental failure problems of the urban rail station, affects the adjustment of the Internet of Things network to the environment, and thus improves the environmental safety of the urban rail station.

[0021] In step 2, the present invention detects the station equipment of the urban rail, and is used to detect the main controller of the power supply equipment connected to the Internet of Things, obtain the elevator operation data and monitoring work data of the urban rail station, and send the obtained elevator operation data and monitoring work data to the wireless network through a wired connection, thereby analyzing the qualification index of the Internet of Things connection equipment in the urban rail station, reducing the dangerous safety problems of the equipment in the urban rail station, reducing the occurrence of the situation where the information loading time of the Internet of Things networking debugging equipment becomes longer, reducing the problem of resource consumption, and thus improving the transmission of device data by the Internet of Things networking. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Reference Figure 1 As shown, the present invention provides an Internet of Things networking method for communication infrastructure, including: step one, station environment detection of urban rail, step two, station equipment detection of urban rail and step three, Internet of Things analysis of urban rail.

[0026] It should be noted that the database is used to store the PM2.5 safety zone, CO2 concentration safety zone, temperature safety zone, humidity safety zone of urban rail stations, the reference duration for receiving IoT fault information, the number of reference data received, the bearing vibration reference value of IoT fault information, the signal reference conversion rate of IoT monitoring, the photoelectric reference conversion value, and the data reference transmission time for IoT monitoring.

[0027] Step 1: Station environment detection of urban rail: The Internet of Things collects air quality data of urban rail stations at different time periods by connecting gas sensors and temperature and humidity sensors. The air quality data includes PM2.5, CO2 concentration, temperature and humidity, and then analyzes the Internet of Things data environment compliance index of urban rail stations.

[0028] In the above embodiment, the Internet of Things data environment compliance index of the urban rail station is calculated by obtaining the PM2.5 safety interval, CO2 concentration safety interval, temperature safety interval and humidity safety interval of the urban rail station from the database, and analyzing the Internet of Things data environment compliance index of the urban rail station based on the PM2.5, CO2 concentration, temperature and humidity of each time period of the urban rail station obtained, and the specific calculation formula is: , The first The time period data, among which It is represented as the number of the time period. , Indicates the first The safety interval of the data, .

[0029] It should be noted that the PM2.5, CO2 concentration, temperature and humidity in each time period of the urban rail station are detected by air sensors and temperature and humidity sensors respectively.

[0030] In the step 1, the station environment detection of the urban rail, the Internet of Things collects the air quality data of the urban rail station in each time period by connecting the gas sensor and the temperature and humidity sensor, analyzes the Internet of Things data environment compliance index of the urban rail station, avoids the unsafe situation of the environment of the urban rail station, and promptly displays the Internet of Things environmental fault problems of the urban rail station, affects the adjustment of the Internet of Things networking to the environment, thereby improving the environmental safety of the urban rail station.

[0031] Step 2: Station equipment detection of urban rail: It is used to detect the main controller of the power supply equipment connected to the Internet of Things, obtain the elevator operation data and monitoring work data of the urban rail station, and send the obtained elevator operation data and monitoring work data to the wireless network via wired connection, and then analyze the qualification index of the Internet of Things connection equipment in the urban rail station.

[0032] In the above embodiment, the IoT connection equipment qualification index of the urban rail station is obtained by analyzing the IoT elevator information transmission compliance index of the urban rail station based on the obtained elevator operation data and monitoring work data of the urban rail station. And the IoT monitoring signal stability compliance index , and then analyze the qualified index of IoT connection equipment in urban rail stations. The specific calculation formula is: .

[0033] In the above embodiment, the Internet of Things elevator information transmission compliance index of the urban rail station is obtained, and the specific method is: based on the obtained elevator operation data of the urban rail station, wherein the elevator operation data includes the reception duration, the amount of received data and the bearing vibration value of the Internet of Things fault information of each elevator in each time period of the Internet of Things station, the Internet of Things elevator fault information transmission compliance index of the urban rail station and the Internet of Things elevator inspection information transmission compliance index of the urban rail station are analyzed.

[0034] It should be noted that the reception duration and the amount of received data of IoT fault information are detected by IoT sensors, and the bearing vibration value is detected by vibration sensors.

[0035] Analyze the IoT elevator information transmission compliance index of urban rail stations, and the specific calculation formula is: ,in It is expressed as the qualified index of IoT elevator fault information transmission in urban rail stations, It is expressed as the IoT elevator inspection pass index of urban rail stations.

[0036] In the above embodiment, the qualified index of the IoT elevator fault information transmission of the urban rail station is obtained by analyzing the qualified index of the IoT elevator fault information transmission of the urban rail station based on the received duration and received data of each IoT fault information of each elevator in each time period of the urban rail station, and the specific calculation formula is: ,in , They respectively represent the reference duration and number of reference data received for IoT fault information at urban rail stations. , They are respectively represented by the first Elevator No. The time period The receiving time and amount of data of IoT fault information, Represents the fault number of the Internet of Things, , Expressed as the number of IoT failures, , Indicates the number of the elevator. Expressed as the number of elevators.

[0037] In the above embodiment, the IoT elevator inspection qualified index of the urban rail station is specifically calculated by analyzing the IoT elevator inspection qualified index of the urban rail station based on the bearing vibration value of the IoT fault information of each elevator in each time period of the urban rail, and the specific calculation formula is: ,in The bearing vibration reference value represented as IoT fault information of urban rail stations, The first Elevator No. The bearing vibration value of IoT fault information in a certain time period.

[0038] In the above embodiment, the Internet of Things monitoring signal stability compliance index of the urban rail station is determined by: based on the monitoring work data of the urban rail station obtained, wherein the monitoring work data includes the signal conversion rate, data transmission duration and photoelectric conversion value of each Internet of Things monitoring in each time period of the urban rail station, the Internet of Things monitoring signal conversion compliance index of the urban rail station is analyzed. The IoT monitoring signal transmission compliance index of urban rail stations , and then analyze the stability compliance index of the IoT monitoring signal of the urban rail station. The specific calculation formula is: .

[0039] It should be noted that the signal conversion rate and data transmission duration of IoT monitoring are detected by analog-to-digital sensors, and the photoelectric conversion value is detected by photoelectric sensors.

[0040] In the above embodiment, the IoT monitoring signal conversion compliance index of the urban rail station is calculated by: based on the obtained signal conversion rate and photoelectric conversion value of each IoT monitoring signal of each time period of the urban rail station, the IoT monitoring signal conversion compliance index of the urban rail station is analyzed, and the specific calculation formula is: ,in, , They are respectively represented by the first The signal reference conversion rate and photoelectric reference conversion value monitored by the Internet of Things, , Indicates the number of IoT monitoring. Expressed as the number of IoT monitoring, , They are respectively represented by the first IoT monitoring The signal conversion rate and photoelectric conversion value of a time period.

[0041] In the above embodiment, the Internet of Things monitoring signal transmission compliance index of the urban rail station is calculated by analyzing the Internet of Things monitoring signal transmission compliance index of the urban rail station based on the obtained data transmission duration of each time period of each Internet of Things monitoring of the urban rail station, and the specific calculation method is: ,in The first IoT monitoring The data transmission duration of each time period, The first The reference transmission time of the data monitored by each IoT.

[0042] In step 2, the present invention detects the station equipment of the urban rail, and is used to detect the main controller of the power supply equipment connected to the Internet of Things, obtain the elevator operation data and monitoring work data of the urban rail station, and send the obtained elevator operation data and monitoring work data to the wireless network through a wired connection, thereby analyzing the qualification index of the Internet of Things connection equipment in the urban rail station, reducing the dangerous safety problems of the equipment in the urban rail station, reducing the occurrence of the situation where the information loading time of the Internet of Things networking debugging equipment becomes longer, reducing the problem of resource consumption, and thus improving the transmission of device data by the Internet of Things networking.

[0043] Step 3: IoT analysis of urban rail: Based on the obtained IoT data environment compliance index of urban rail stations and the IoT connection equipment qualification index of urban rail stations, determine whether the IoT of urban rail is operating normally. If an abnormality occurs, the operation status of the IoT station of urban rail will be fed back to the staff, and real-time data will be displayed to passengers for adjustment.

[0044] In the above embodiment, the operation status of the Internet of Things station of the urban rail is fed back to the staff, and its specific method is: through the environmental compliance index interval corresponding to the required environment compliance index interval of the Internet of Things data environment networking method of each urban rail station stored in the database, and based on the obtained Internet of Things data environment compliance index of the urban rail station, the Internet of Things data environment networking method of the urban rail station is screened, and then the networking method suitable for replacing the Internet of Things data environment of the urban rail station is obtained, and the staff is reminded to upgrade the network of the data environment of the Internet of Things station of the urban rail, and increase the environmental matching requirements of the Internet of Things networking.

[0045] By using the connection equipment qualification index range corresponding to the requirements of the Internet of Things connection equipment networking methods of each urban rail station stored in the database, and based on the obtained Internet of Things connection equipment qualification index of the urban rail station, the Internet of Things connection equipment networking methods of the urban rail station are screened, and the networking methods suitable for replacing the Internet of Things connection equipment of the urban rail station are obtained, reminding the staff to upgrade the network of the equipment of the Internet of Things station of the urban rail and increase the equipment matching requirements for the Internet of Things networking.

[0046] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for networking Internet of Things of communication infrastructure, characterized in that: include: Step 1: Station environment detection of urban rail: The Internet of Things collects air quality data of urban rail stations at different time periods by connecting gas sensors and temperature and humidity sensors. The air quality data includes PM2.5, CO2 concentration, temperature and humidity, and then analyzes the Internet of Things data environment compliance index of urban rail stations; Step 2: Station equipment detection of urban rail: used to detect the main controller of the power supply equipment connected to the Internet of Things, obtain the elevator operation data and monitoring work data of the urban rail station, and send the obtained elevator operation data and monitoring work data to the wireless network through wired, and then analyze the qualified index of the Internet of Things connection equipment of the urban rail station; Based on the elevator operation data and monitoring work data of urban rail stations, the information transmission compliance index of IoT elevators in urban rail stations is analyzed. And the IoT monitoring signal stability compliance index , and then analyze the qualified index of IoT connection equipment in urban rail stations. The specific calculation formula is: ; Based on the obtained elevator operation data of the urban rail station, where the elevator operation data includes the reception duration, the number of received data and the bearing vibration value of the IoT fault information of each elevator in each time period of the IoT station, the qualified index of IoT elevator fault information transmission and the qualified index of IoT elevator inspection information transmission of the urban rail station are analyzed; Analyze the IoT elevator information transmission compliance index of urban rail stations, and the specific calculation formula is: ,in It is expressed as the qualified index of IoT elevator fault information transmission in urban rail stations, It is expressed as the IoT elevator inspection qualification index of urban rail stations; Based on the received duration and received data of each IoT fault information of each elevator in each time period of the urban rail station, the qualified index of IoT elevator fault information transmission of the urban rail station is analyzed, and the specific calculation formula is as follows: ,in , They respectively represent the reference duration and number of reference data received for IoT fault information at urban rail stations. , They are respectively represented by the first Elevator No. The time period The receiving time and amount of data of IoT fault information, Represents the fault number of the Internet of Things, , Expressed as the number of IoT failures, , Indicates the number of the elevator. Expressed as the number of elevators; Based on the bearing vibration values ​​of the IoT fault information of each elevator in the urban rail in each time period, the IoT elevator inspection qualification index of the urban rail station is analyzed, and the specific calculation formula is: ,in The bearing vibration reference value represented as IoT fault information of urban rail stations, The first Elevator No. The bearing vibration value of IoT fault information in each time period; Based on the monitoring work data of urban rail stations, the monitoring work data includes the signal conversion rate, data transmission duration and photoelectric conversion value of each IoT monitoring in each time period of the urban rail station, and the IoT monitoring signal conversion compliance index of the urban rail station is analyzed. The IoT monitoring signal transmission compliance index of urban rail stations , and then analyze the stability compliance index of the IoT monitoring signal of the urban rail station. The specific calculation formula is: ; Based on the obtained signal conversion rate and photoelectric conversion value of each IoT monitoring time period of the urban rail station, the IoT monitoring signal conversion compliance index of the urban rail station is analyzed, and its specific calculation formula is: ,in, , They are respectively represented by the first The signal reference conversion rate and photoelectric reference conversion value monitored by the Internet of Things, , Indicates the number of IoT monitoring. Expressed as the number of IoT monitoring, , They are respectively represented by the first IoT monitoring Signal conversion rate and photoelectric conversion value for each time period; Based on the obtained data transmission duration of each IoT monitoring time period of the urban rail station, the IoT monitoring signal transmission compliance index of the urban rail station is analyzed, and the specific calculation method is as follows: ,in The first IoT monitoring The data transmission duration of each time period, The first The reference transmission time of IoT monitoring data; Step 3: IoT analysis of urban rail: Based on the obtained IoT data environment compliance index of urban rail stations and the IoT connection equipment qualification index of urban rail stations, determine whether the IoT of urban rail is operating normally. If an abnormality occurs, the operation status of the IoT station of urban rail will be fed back to the staff, and real-time data will be displayed to passengers for adjustment.

2. The method for networking an Internet of Things of a communication infrastructure according to claim 1, characterized in that: The IoT data environment of the urban rail station meets the index, and the specific method is as follows: The PM2.5 safety range, CO2 concentration safety range, temperature safety range and humidity safety range of the urban rail station are obtained from the database, and based on the PM2.5, CO2 concentration, temperature and humidity of each time period of the urban rail station, the IoT data environment compliance index of the urban rail station is analyzed. The specific calculation formula is: , The first The time period data, among which It is represented as the number of the time period. , Indicates the first The safety interval of the data, .

3. The method for networking an Internet of Things of communication infrastructure according to claim 1, characterized in that: The specific method of providing feedback to the staff on the operation status of the IoT station of the urban rail is as follows: Through the environment compliance index interval corresponding to the IoT data environment networking method of each urban rail station stored in the database, and based on the obtained IoT data environment compliance index of the urban rail station, the IoT data environment networking method of the urban rail station is screened, and then the IoT data environment of the urban rail station The networking method suitable for replacement is obtained, and the staff is reminded to upgrade the data environment of the IoT station of the urban rail network and increase the environmental matching requirements of the IoT network; By using the connection equipment qualification index range corresponding to the requirements of the Internet of Things connection equipment networking methods of each urban rail station stored in the database, and based on the obtained Internet of Things connection equipment qualification index of the urban rail station, the Internet of Things connection equipment networking methods of the urban rail station are screened, and the networking methods suitable for replacing the Internet of Things connection equipment of the urban rail station are obtained, reminding the staff to upgrade the network of the equipment of the Internet of Things station of the urban rail and increase the equipment matching requirements for the Internet of Things networking.

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