Visual asynchronous stream encoding and decoding method

Abstract

The invention relates to the technical field of the rail transportation environmental protection, in particular a vision asynchronous stream encoding and decoding system. The method comprises the following steps: producing stream encoding stream after encoding an original stream through a stream encoding algorithm; enabling the stream encoding symbol to orderly correspond to each stream encoding bit, finally obtaining the stream encoding, orderly spreading the data bit-by-bit according to a byte order to obtain the original streams represented by 0 and 1; beginning from the first bit for the non-line-breaking data, replacing by using R if the character behind the first bit is the same as the front character, or unchanging; for the data needing to perform line-breaking, firstly partitioning the original stream according to the user-defined each line bit length; and then performing stream encoding by using the method of the step two for the partitioned each segment of original stream. The invention discloses by the invention has the advantages that the decoding is performed on the encoding produced by this technology without decoding the synchronization information; the correct decoding can be performed by only needing the decoding to be higher than the lowest sampling frequency, the sampling frequency of the decoding equipment is unnecessary to set in advance; the us is convenient, and the application field is extensive.

Description

technical field [0001] The invention relates to the technical field of rail transit environmental protection, in particular to a visual asynchronous stream encoding and decoding method. Background technique [0002] Mobile tracking vehicles / robots can replace humans to work in harsh environments, especially in the fields of logistics and unmanned warehouses. [0003] Tracking means that this type of system moves along a pre-marked track on the floor, wall or ceiling. However, today's logistics warehouses are getting bigger and bigger, the layout is getting more and more complex, and there are more and more machine-seeking vehicles / robots running in them, and their running speed is also increasing, which provides real-time management, control, and positioning of these vehicles / robots. Bots pose a lot of difficulty. [0004] To achieve real-time control of these vehicles / robots, the following problems must first be solved: [0005] 1. To establish a reliable data communicat...

AI Technical Summary

Problems solved by technology

[0006] 2. It must be able to obtain more accurate vehicle / robot position information, so as to make global optimal decision-making and control;

[0012] Disadvantages of prior art 1: the wireless positioning technology is not yet mature, and it is impossible to realize accurate positioning in a complex environment. Positioning through monitoring images requires high-performance computing equipment and complex recognition software, and the cost is high and the recognition error rate is high. It is still relatively high, and the solution of positioning by embedding ground sense coils and other sensors requires more infrastructure construction work, and the cost is relatively high

[0016] 1. The transmission information is very limited. If more information needs to be transmitted, the coding area of ​​the barcode / two-dimensional code must be increased. At the same time, the accuracy and device size of the image acquisition equipment in the decoding equipment must be increased, which will increase the cost of the decoding equipment.

[0017] 2. The decoding algorithm of the two-dimensional code is complicated, and the area array image acquisition is generally required, and the decoding equipment is more expensive

[0018] 3. Printing barcodes / QR codes on the track may interfere with the operation of existing vehicles / robots, and the track-seeking algorithm needs to be upgraded to a large extent

[0019] 4. All information needs to be collected and decoded at one time, that is, it is necessary to wait for all information to be completely generated before transmission. In some extreme industrial automation requirements, real-time performance is still not enough; no synchronization mechanism is provided, such as information sending and shooting are not synchronized , which can easily cause decoding errors

Images