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Pattern analysis method based on RSSI data

An analysis method and data technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of long inspection cycle and low efficiency of wireless network equipment, reduce the technical threshold and the difficulty of judgment, and facilitate the data transfer and improve the efficiency of inspection

Active Publication Date: 2020-06-05
四川众合智控科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the invention of the present invention is: for the above-mentioned existing problems, provide a kind of fault monitoring scheme of DCS subsystem (data communication system) equipment in the signal system of urban rail transit CBTC (communication-based automatic train control system), through based on RSSI data Monitor and analyze the fault points and hidden trouble points to highlight the display, complete the inspection of faults and hidden danger points in the DCS management system in a low-threshold, high-efficiency, and intuitive way, and solve the problem of wireless network equipment in the DCS subsystem The problem of long inspection cycle and low efficiency

Method used

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  • Pattern analysis method based on RSSI data
  • Pattern analysis method based on RSSI data
  • Pattern analysis method based on RSSI data

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Experimental program
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Embodiment 1

[0038] This embodiment discloses a graphical analysis method based on RSSI data, which includes the following steps:

[0039] The driver of the rail transit vehicle or the staff in the vehicle carry a mobile detection device (the device does not leave the vehicle halfway), and the mobile detection device moves with the rail transit vehicle to collect the RSSI data of the wireless network device (AP) connected along the road at a predetermined frequency.

[0040] After stopping the detection, export the RSSI data collected by the mobile detection device. The exported RSSI data includes the RSSI data of each wireless network device connected along the way. Use a computer to analyze the exported RSSI data, and then graphically display the analysis results. The graphical display stage is to collect the collected RSSI data. The data is displayed corresponding to the corresponding wireless network device. For example, the ID of the wireless network device is used as an identificatio...

Embodiment 2

[0042] like figure 1 As shown, the present embodiment discloses a graphical analysis method based on RSSI data, which includes the following steps:

[0043] On a moving rail vehicle, the mobile detection device logs in to the ESE switch through the remote login protocol.

[0044] The mobile detection device sends a command to the ESE every second (adjustable) to read the RSSI data (as a performance parameter) of the currently connected wireless network device. As the rail transit vehicle moves, the mobile detection device will establish a connection with each wireless network unit along the road.

[0045] After the mobile detection device obtains the real-time RSSI data of the wireless network device through the remote login protocol, it saves it in the form of a text file (offline storage).

[0046] After the collection is completed, export the RSSI data collected by the mobile detection device. Using a computer to analyze and graphically display the derived RSSI data, the...

Embodiment 3

[0050] Based on the derived RSSI data, this embodiment discloses a method for analyzing and graphically displaying the derived RSSI data by using a computer, which includes the following steps:

[0051] The driver of the rail transit vehicle or the staff in the vehicle carry mobile detection equipment (the equipment does not leave the vehicle halfway). On a moving rail vehicle, the mobile detection device logs in to the ESE switch through the remote login protocol.

[0052] The mobile detection device sends a command to ESE every second (adjustable) to read the RSSI data of the currently connected wireless network device. As the rail transit vehicle moves, the mobile detection device will establish a connection with each wireless network unit along the road.

[0053] After the mobile detection device obtains the real-time RSSI data of the wireless network device through the remote login protocol, it saves it in the form of a text file.

[0054] After the collection is comple...

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Abstract

The invention discloses a graphical analysis method based on RSSI data. The method comprises the following steps: moving along a running line of a rail transit vehicle by using mobile detection equipment, and acquiring RSSI data of wireless network equipment accessed along the line at a predetermined frequency; and exporting the RSSI data acquired by the mobile detection equipment;, and analyzingand graphically displaying the exported RSSI data by using a computer, wherein the graphical display comprises: displaying the acquired RSSI data corresponding to the corresponding wireless network equipment, and contents corresponding to normal and abnormal conditions of the RSSI data are at least differentially displayed. The routing inspection efficiency of the wireless network equipment in a DCS subsystem is improved, the judgment difficulty of faults and hidden dangers of the wireless network equipment is reduced, the cost investment of the technology is extremely low, any transformationis not carried out on the electric passenger car, and any influence is not caused to the operation of each system in the urban rail transit.

Description

technical field [0001] The invention relates to the field of network monitoring of tram communication systems, in particular to a graphical analysis method based on RSSI data. Background technique [0002] The basis of the CBTC signal system is vehicle-to-ground communication. The DCS subsystem that realizes vehicle-to-ground communication consists of three parts: DCS wired network system, DCS wireless network system, and DCS management system. The DCS management system is responsible for monitoring and monitoring the DCS subsystem. manage. The monitoring method is manual monitoring and manual analysis of abnormal data. [0003] For the wired network equipment in the DCS subsystem, due to the small number of equipment, manual monitoring and analysis can still meet the requirements of operation and maintenance; for the wireless network equipment in the DCS subsystem, due to the large number of equipment (the trackside wireless access point The laying distance is generally 1...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/04H04L12/26H04L12/24
CPCH04W24/04H04L43/045H04L41/22Y02D30/70
Inventor 何政许瑜王玫严勇张雪李春霓刘宏烜
Owner 四川众合智控科技有限公司
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