CN113905063B - Calibration method for automatically recording system time of red light running based on Internet of things - Google Patents
Calibration method for automatically recording system time of red light running based on Internet of things Download PDFInfo
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- CN113905063B CN113905063B CN202111001628.XA CN202111001628A CN113905063B CN 113905063 B CN113905063 B CN 113905063B CN 202111001628 A CN202111001628 A CN 202111001628A CN 113905063 B CN113905063 B CN 113905063B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
According to the calibration method for realizing the automatic red light running recording system time based on the Internet of things, the automatic red light running recording system, the standard clock and the camera data are respectively acquired through the Internet of things terminal, and first data are generated and sent to the cloud platform; the cloud platform extracts according to the received data to obtain time data of running the red light and intersection information; the cloud platform judges whether the current traffic light state is effective according to the time data of red light running and the intersection information, if so, the time error is calculated; the cloud platform generates a verification report according to the time error, and calibrates the automatic red light running recording system time according to the verification report, so that on-site calibration is realized, and the safety and the accuracy are high.
Description
Technical Field
The invention relates to the technical field of calibration, in particular to a calibration method for automatically recording system time when running red light based on the Internet of things.
Background
The on-site system time calibration method of the automatic red light running recording system is based on the general technical condition of the automatic red light running recording system of GA/T496-2014: the automatic red light running recording system works continuously for 24 hours, the system timing is compared with the standard timing, and the error is calculated. The automatic recording system for red light running is arranged outdoors, a standard clock is required to be continuously used for 24 hours on site in site calibration, the site calibration is difficult to develop, and the following defects exist:
(1) The on-site calibration requires the traffic police department to seal the detection area;
(2) The working efficiency is low, and social resources are wasted;
(3) Traffic accidents are easily caused to cause field calibration personnel casualties in the calibration area at night;
(4) The environmental conditions of 24 hours in the field cannot meet the use requirements of the standard clock environment.
Disclosure of Invention
First, the technical problem to be solved
In order to solve the problems in the prior art, the invention provides a calibration method for automatically recording the system time when running a red light based on the Internet of things, which can realize on-site calibration and has high safety and accuracy.
(II) technical scheme
In order to achieve the above purpose, the invention adopts the following technical scheme:
a calibration method for automatically recording system time when running red light based on the Internet of things comprises the following steps:
s1, respectively acquiring red light running automatic recording system, standard clock and camera data by an Internet of things terminal, generating first data and sending the first data to a cloud platform;
s2, the cloud platform extracts according to the received data to obtain time data of running the red light and intersection information;
s3, the cloud platform judges whether the current traffic light state is effective according to the time data of running the red light and the intersection information, if so, the time error is calculated;
s4, the cloud platform generates a verification report according to the time error, and calibrates the automatic recording system time of the red light running according to the verification report.
(III) beneficial effects
The invention has the beneficial effects that: respectively acquiring the red light running automatic recording system, the standard clock and the camera data through the terminal of the Internet of things, generating first data and sending the first data to the cloud platform; the cloud platform extracts according to the received data to obtain time data of running the red light and intersection information; the cloud platform judges whether the current traffic light state is effective according to the time data of red light running and the intersection information, if so, the time error is calculated; the cloud platform generates a verification report according to the time error, and calibrates the automatic red light running recording system time according to the verification report, so that on-site calibration is realized, and the safety and the accuracy are high.
Drawings
Fig. 1 is a flowchart of a calibration method for realizing automatic recording of system time for running red light based on internet of things in an embodiment of the invention.
Detailed Description
The invention will be better explained by the following detailed description of the embodiments with reference to the drawings.
Example 1
Referring to fig. 1, a calibration method for automatically recording system time when running a red light based on internet of things includes the steps of:
s1, respectively acquiring red light running automatic recording system, standard clock and camera data by an Internet of things terminal, generating first data and sending the first data to a cloud platform;
the step S1 specifically comprises the following steps:
the method comprises the steps that an internet of things terminal respectively obtains all red light running data recorded by a red light running automatic recording system, a standard clock and a camera in preset time, generates first data and sends the first data to a cloud platform.
Specifically, the red light running automatic recording system, the standard clock and the camera data are respectively communicated with an internet of things terminal;
the traffic light signal machine is communicated with the Internet of things;
after the traffic light signal machine sends out the synchronous trigger signal, the system time recorded by the red light running automatic recording system, the standard time recorded by the standard clock and the traffic light state recorded by the camera are connected and uploaded to the cloud platform through the terminal of the Internet of things to carry out automatic analysis and calculation to obtain the timing error. The automatic recording system for running the red light detects that the red light runsAnd sending a trigger signal when the vehicle is in use, sending snapshot time and snapshot information to the terminal of the Internet of things, sending standard time to the terminal of the Internet of things after the standard clock receives the trigger signal, and sending the state of the traffic light to the terminal of the Internet of things after the camera receives the trigger signal. And installing a time error calculation analysis program on the cloud platform to realize the function of automatically calculating the time error. The field speed measurement error is calculated according to the following formula: Δt=t-t 0 Wherein Deltat represents a time error (unit: s), t represents a system time (format: hh: mm: ss.sss) recorded by the automatic red light running recording system, and t0 represents a standard time (format: hh: mm: ss.sss) recorded by a standard clock.
S2, the cloud platform extracts according to the received data to obtain time data of running the red light and intersection information;
the step S2 specifically comprises the following steps:
and the cloud platform extracts according to the received data to obtain time data and intersection information of all red light running in a preset time.
S3, the cloud platform judges whether the current traffic light state is effective according to the time data of running the red light and the intersection information, if so, the time error is calculated;
the step S3 specifically comprises the following steps:
and the cloud platform judges whether the current traffic light state is effective according to the time data and the intersection information of each red light running, and if so, calculates the time error of the red light running.
S4, the cloud platform generates a verification report according to the time error, and calibrates the automatic recording system time of the red light running according to the verification report.
The step S4 specifically comprises the following steps:
and the cloud platform generates verification reports according to the time errors of all the red light running lamps, and calibrates the automatic red light running recording system time according to the verification reports.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent changes made by the specification and drawings of the present invention, or direct or indirect application in the relevant art, are included in the scope of the present invention.
Claims (5)
1. A calibration method for automatically recording system time when running red light based on the Internet of things is characterized by comprising the following steps:
s1, respectively acquiring red light running automatic recording system, standard clock and camera data by an Internet of things terminal, generating first data and sending the first data to a cloud platform;
s2, the cloud platform extracts according to the received data to obtain time data of running the red light and intersection information;
s3, the cloud platform judges whether the current traffic light state is effective according to the time data of running the red light and the intersection information, if so, the time error is calculated;
s4, the cloud platform generates a verification report according to the time error, and calibrates the automatic recording system time of the red light running according to the verification report;
after the traffic light signal machine sends out a synchronous trigger signal, the system time recorded by the red light running automatic recording system, the standard time recorded by the standard clock and the traffic light state recorded by the camera are connected and uploaded to the cloud platform through the terminal of the Internet of things to carry out automatic analysis and calculation to obtain a timing error;
the automatic red light running recording system sends out a trigger signal when detecting that a red light running vehicle exists, simultaneously sends snapshot time and snapshot information to the terminal of the Internet of things, the standard clock sends standard time to the terminal of the Internet of things after receiving the trigger signal, and the camera captures the traffic light state after receiving the trigger signal and sends the traffic light state to the terminal of the Internet of things;
installing a time error calculation analysis program on the cloud platform to realize an automatic time error calculation function; the field speed measurement error is calculated according to the following formula: Δt=t-t 0 Wherein Deltat represents time error (unit: s), t represents system time (format: hh: mm: ss.sss) recorded by the automatic red light running recording system, and t 0 The standard time of day (format: hh: mm: ss. Sss) of a standard clock record is indicated.
2. The calibration method for automatically recording system time for running red light based on the internet of things of claim 1, wherein step S1 specifically comprises:
the method comprises the steps that an internet of things terminal respectively obtains all red light running data recorded by a red light running automatic recording system, a standard clock and a camera in preset time, generates first data and sends the first data to a cloud platform.
3. The calibration method for automatically recording system time for running red light based on the internet of things of claim 2, wherein step S2 is specifically:
and the cloud platform extracts according to the received data to obtain time data and intersection information of all red light running in a preset time.
4. The calibration method for automatically recording system time for red light running based on the internet of things of claim 3, wherein step S3 is specifically:
and the cloud platform judges whether the current traffic light state is effective according to the time data and the intersection information of each red light running, and if so, calculates the time error of the red light running.
5. The calibration method for automatically recording system time for red light running based on the internet of things of claim 4, wherein step S4 is specifically:
and the cloud platform generates verification reports according to the time errors of all the red light running lamps, and calibrates the automatic red light running recording system time according to the verification reports.
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