Automatic diagnosis method for SCATS coil detector based on flow and saturation analysis

A coil detector and automatic diagnosis technology, applied in the direction of instruments, traffic control systems of road vehicles, traffic control systems, etc., can solve problems such as the inability to detect the working status and data quality of coil detectors

Active Publication Date: 2018-04-13
ENJOYOR COMPANY LIMITED
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Problems solved by technology

[0009] In order to overcome the shortcomings of the existing technology that cannot detect the working state and data quality of the coil detector, the present invention provides an automatic diagnosis of the SCATS coil detector based on flow and saturation analysis that can effectively detect the working state and data quality of the coil detector method

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  • Automatic diagnosis method for SCATS coil detector based on flow and saturation analysis
  • Automatic diagnosis method for SCATS coil detector based on flow and saturation analysis
  • Automatic diagnosis method for SCATS coil detector based on flow and saturation analysis

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Embodiment Construction

[0072] The present invention will be further described below in conjunction with the accompanying drawings.

[0073] refer to Figure 1 to Figure 11 , an automatic diagnosis method for SCATS coil detectors based on flow and saturation analysis. The first part is to construct labeled sample data to provide training sets for machine learning; the second part is to analyze the coil working conditions and data quality based on machine learning methods. judge.

[0074] In the first part, the steps to construct the training set are as follows:

[0075] Step 1.1: Given a date, query all data and group by coil;

[0076] Step 1.2: Draw the time distribution diagram of each coil flow, saturation (V-t, DS-t), the relationship diagram of flow saturation (DS-V) and the histogram of flow and saturation ratio (Freq(DS / V) );

[0077] Step 1.3: Calculate a series of statistical features of V-t, DS-t, DS-V, Freq(DS / V), mainly including maximum / minimum / mean / kurtosis / skewness / 5% / 10% / 50% / 90%...

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Abstract

Provided is an automatic diagnosis method for an SCATS coil detector based on flow and saturation analysis. The step of constructing a training set includes the following sub-steps: (1.1) giving a date, querying for all data and grouping the data by coil; (1.2) drawing a time distribution diagram of flow and saturation, a relation diagram of flow and saturation and a histogram of the ratio of flowto saturation of each coil; (1.3) calculating statistic features; and (1.4) outputting the statistics and the tagging result as a training set. The step of coil diagnosis based on machine learning includes the following sub-steps: (2.1) inputting the training set to a decision tree classifier to train a model; (2.2) selecting a date needing coil data diagnosis, and retrieving target data; (2.3) calculating the statistic features of the target data and describing the target data; and (2.4) classifying the coil condition and data quality corresponding to the target data. Through the method, theworking state and data quality of the coil detector can be detected.

Description

technical field [0001] The invention relates to a diagnosis method of a Sydney self-adaptive traffic control system SCATS, in particular to an automatic diagnosis method of a SCATS coil detector. Background technique [0002] Sydney Coordinated Adaptive Traffic System (Sydney Coordinated Adaptive Traffic System, referred to as SCATS, or referred to as SCATS system), researched and developed by the Road Traffic Authority (RTA) of New South Wales, Australia, is one of the few advanced urban signals in the world. One of the traffic control systems. [0003] The vehicle loop detector is an important data acquisition facility in the SCATS system. When the vehicle passes through the loop coil buried under the road surface (hereinafter referred to as the coil), the magnetic field of the coil will change, and the detector will calculate the traffic parameters such as the flow rate, saturation, cycle start time and length of the vehicle based on this, and upload it to the central co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/042
CPCG08G1/042
Inventor 徐甲丁楚吟袁鑫良郭海锋张标标樊锦祥
Owner ENJOYOR COMPANY LIMITED
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