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A Parallel Recognition Method of Mountain Substation Signals Optimized by Improved Aloha Algorithm

An identification method and substation technology, applied in the field of the Internet of Things, can solve the problems of low identification rate, information cannot be identified in time, deal with potential safety hazards and declines in substations, and achieve the effect of improving the efficiency of identification

Active Publication Date: 2021-08-06
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0004] The present invention provides an improved ALOHA algorithm-optimized parallel recognition method for mountain substation signals, which is used to solve the problem of low recognition rate in the traditional frame time slot algorithm and a sharp decline as the number n of monitoring signals to be recognized increases, resulting in information that cannot be timely Disadvantages of substation safety hazards caused by identification and treatment

Method used

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  • A Parallel Recognition Method of Mountain Substation Signals Optimized by Improved Aloha Algorithm
  • A Parallel Recognition Method of Mountain Substation Signals Optimized by Improved Aloha Algorithm
  • A Parallel Recognition Method of Mountain Substation Signals Optimized by Improved Aloha Algorithm

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Embodiment 1

[0025] Embodiment 1: as Figure 1-2 As shown, an improved ALOHA algorithm optimized parallel identification method for mountain substation signals, the steps of the method are as follows:

[0026] A. Configure the RFID wireless system in the mountain substation, which includes readers and electronic tags;

[0027] B. The reader with 8 antennas collects the carrier signal sent by the electronic tag in real time according to the improved ALOHA algorithm. The specific process is:

[0028] B1. The number 1300 of monitoring signals to be identified sent by the electronic tag is not greater than 1301, and the number of groups r=1;

[0029] B2, within the specified frame length N=256 under this grouping, k monitoring signals are transmitted in parallel under each time slot, and a total of 1301 signals sent by electronic tags are transmitted under this grouping; the S-n curve is drawn, such as figure 2 shown (according to the process figure 1 , that is, input n=1300, judge whether...

Embodiment 2

[0034] Embodiment 2: as figure 1 , 3 As shown, an improved ALOHA algorithm optimized parallel identification method for mountain substation signals, the steps of the method are as follows:

[0035] A. Configure the RFID wireless system in the mountain substation, which includes readers and electronic tags;

[0036] B. The reader with 8 antennas collects the carrier signal sent by the electronic tag in real time according to the improved ALOHA algorithm. The specific process is:

[0037] B1. The number of 4000 to-be-identified monitoring signals sent by the electronic tag is greater than 1301, then according to the formula 1≤4000-1301(r-1)≤1301, the number of confirmation groups r=4;

[0038] B2. Starting from r=1, within the specified frame length N=256 under each group, k monitoring signals are transmitted in parallel under each time slot, and a total of 1301 signals sent by electronic tags are transmitted under each group until the grouping At the end, all 4000 monitoring...

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Abstract

The invention discloses a signal parallel recognition method of a mountain substation optimized by an improved ALOHA algorithm, and belongs to the technical field of the Internet of Things. The present invention can group the total number of labels according to a reasonable formula through label grouping, so that the recognition rate can be relatively stable as the increase increases, and solves the disadvantages of the rapid decline in the recognition rate in the dynamic frame time slot algorithm; When the amount of monitoring signals in mountainous substations suddenly increases, after the independent components of the monitoring signals are extracted by the 8 reader antennas, the parallel recognition of multiple monitoring signals in the same time slot can be realized, and the efficiency of recognition can be improved. 36.8% of the time slots increased to a maximum of over 95%.

Description

technical field [0001] The invention relates to a method for parallel recognition of mountain substation signals optimized by an improved ALOHA algorithm, and belongs to the technical field of the Internet of Things. Background technique [0002] With the rapid development of Internet of Things technology and smart grid, the application of Internet of Things technology in substations provides new solutions and ideas for substation safety monitoring. In many substations that have not realized intelligence, the alarm system, fire protection system, and other auxiliary monitoring systems are all independent, and it is easy to deal with accidents in time; in terms of equipment inspection, manual inspection is still the main method, and the inspection The human factor of quality is relatively large. And the staff need to analyze the inspection data to process, but the on-site inspection personnel often do not have such ability. In North America, many early substations still use...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K17/00G06Q50/06
CPCG06K17/0025G06Q50/06
Inventor 王洪亮周洁刘志坚罗灵琳
Owner KUNMING UNIV OF SCI & TECH
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