CN116659519B - Intelligent park travelling locus tracking system based on artificial intelligence - Google Patents
Intelligent park travelling locus tracking system based on artificial intelligence Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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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
Abstract
The invention discloses an intelligent park vehicle track tracking system based on artificial intelligence, relates to the technical field of park vehicle track tracking, and solves the technical problem that in the prior art, after a traveling track is determined, an external vehicle cannot be subjected to real-time vehicle traveling track tracking and self vehicle traveling monitoring; according to the intelligent park monitoring method, the running track of the foreign vehicles is tracked, whether the road running risk affects the passing of the foreign vehicles is monitored in real time, the influence on the access efficiency due to the blocking of the passing of the foreign vehicles is avoided, meanwhile, the increase of the stay time of the foreign vehicles is avoided, the potential safety hazard of the foreign vehicles is increased, the real-time safety of the intelligent park is reduced, the current running track line of the foreign vehicles is monitored, whether the current running of the foreign vehicles meets the running requirement in the park is judged, the supervision intensity of the foreign vehicles is improved, and the management efficiency of the roads in the intelligent park is further improved.
Description
Technical Field
The invention relates to the technical field of tracking of a park track, in particular to an intelligent park track tracking system based on artificial intelligence.
Background
The park refers to a standard building or building group which is generally planned and built by government (civil enterprises and government cooperations), has complete water supply, power supply, air supply, communication, road, storage and other matched facilities, is reasonably distributed and can meet the requirements of production and scientific experiments in a specific industry, and comprises an industrial park, a logistics park, a scientific park, a barracks and the like;
in the prior art, however, when an external vehicle enters a park for access, the running track cannot be reasonably planned, and meanwhile, after the running track is determined, the external vehicle cannot be subjected to real-time vehicle running track tracking and own vehicle running monitoring, so that whether the road running risk is influenced by the real-time monitoring cannot be ensured, the real-time running feasibility of the external vehicle cannot be ensured, and the management efficiency of the intelligent park is reduced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides an intelligent park track following system based on artificial intelligence.
The aim of the invention can be achieved by the following technical scheme: the utility model provides an wisdom garden driving locus tracking system based on artificial intelligence, includes garden driving management platform, and garden driving management platform communication is connected with:
the real-time track dividing unit is used for dividing the running track of the real-time external vehicle, dividing the intelligent park into i subareas, wherein i is a natural number larger than 1, access ends in the intelligent park exist in all subareas, the area where the access ends of the real-time external vehicle are located is marked as a real-time access area, the park entrance of the current external vehicle and the access ends in the real-time access area are used as starting and ending position points of the running track, a preset running track of the current external vehicle is generated according to the starting and ending position points, the preset running track is divided into an alternative track and a preferred track according to analysis, and the current alternative track and the preferred track are sent to the park running management platform;
the information sensing unit is used for performing information sensing analysis on the intelligent park to generate a road running monitoring signal and a vehicle running monitoring signal, and respectively transmitting the road running monitoring signal and the vehicle running monitoring signal to the road running monitoring unit and the vehicle running monitoring unit;
the road running monitoring unit is used for tracking running tracks of the external vehicles, binding the external vehicles with the real-time running track lines, carrying out real-time tracking monitoring in a passing period of the external vehicles, dividing the real-time running track lines into a passing section and an un-passing section according to the real-time positions of the external vehicles in the real-time running track lines, generating a passing influence signal or a passing un-passing influence signal through analysis, and carrying out passing monitoring on the external vehicles after the passing influence signal is generated;
the vehicle running monitoring unit is used for monitoring the running of the vehicle on the running track line of the current external vehicle, acquiring the traffic mark point position arranged in the real-time running track line of the current external vehicle, simultaneously, marking the running indication in the traffic mark point as running instruction requirements, analyzing and generating a vehicle running risk signal or a vehicle running normal signal through the running instruction requirements, and sending the vehicle running risk signal or the vehicle running normal signal to the information sensing unit, and generating a running track abnormal signal and sending the running track abnormal signal to the park running management platform after the information sensing unit receives the vehicle running normal signal and the running abnormal signal.
As a preferred implementation mode of the invention, the park driving management platform is also connected with a driving track supervision unit, and the driving track supervision unit is used for carrying out safety supervision on the driving track of the current external vehicle, generating a vehicle driving abnormal signal or a vehicle driving normal signal through analysis of the external vehicle and sending the vehicle driving abnormal signal or the vehicle driving normal signal to the park driving management platform.
As a preferred embodiment of the present invention, the real-time trajectory dividing unit operates as follows:
the method comprises the steps of obtaining the number of access terminals currently reserved for access in a midway region of a preset running track line and the density value of access terminals in a passing region of the preset running track line, and comparing the number of access terminals currently reserved for access in the midway region of the preset running track line and the density value of access terminals in the passing region of the preset running track line with an access terminal number threshold value and an access terminal density value threshold value respectively:
if the number of the access terminals currently reserved for access in the middle-path area of the preset running track line exceeds the threshold value of the number of the access terminals or the density value of the access terminals in the middle-path area of the preset running track line exceeds the threshold value of the density value of the access terminals, judging that the current preset running track line has a high risk of traffic jam, and setting the current preset running track line as an alternative track line; if the number of the access terminals currently reserved for access in the midway area of the preset running track line does not exceed the threshold value of the number of the access terminals, and the density value of the access terminals in the midway area of the preset running track line does not exceed the threshold value of the density value of the access terminals, judging that the current preset running track line has low traffic jam risk, and setting the current preset running track line as a preferred track line.
As a preferred embodiment of the invention, the current alternative track line and the preferred track line are sent to the park driving management platform, the park driving management platform monitors the external vehicles after receiving the current alternative track line and the preferred track line, and if the period of entering the park of the external vehicles is not in the period of visiting the peak, the preset driving track line with the shortest corresponding distance of the external vehicles is taken as the real-time driving track line.
As a preferred embodiment of the present invention, the road travel monitoring unit operates as follows:
the overlapping duration of the traffic time interval of the road traffic participators and the traffic time interval of the external vehicles in the non-traffic section of the real-time driving track line and the intersection traffic road section distance of the road traffic participators and the external vehicles in the traffic section are obtained, and compared with an overlapping duration threshold value and a road section distance threshold value respectively:
if the overlapping time of the traffic time interval of the road traffic participators in the non-traffic section of the real-time driving track line and the traffic time interval of the external vehicles exceeds the threshold of the overlapping time interval, or the distance between the road traffic participators in the traffic section and the intersection traffic section of the external vehicles exceeds the threshold of the road section distance, judging that the road traffic participators have traffic influence, generating a traffic influence signal, transmitting the traffic influence signal to an information sensing unit, and carrying out traffic monitoring on the external vehicles;
if the overlapping time of the road traffic participator passing time period and the external vehicle passing time period in the non-passing section of the real-time driving track line does not exceed the overlapping time threshold, and the road distance between the road traffic participator and the intersection passing road section of the external vehicle in the passing section does not exceed the road distance threshold, judging that the road traffic participator has no passing influence, generating a passing non-influence signal and sending the passing non-influence signal to the information sensing unit.
As a preferred embodiment of the present invention, the foreign vehicle passing monitoring process is as follows: if the deviation time length of the current real-time running track line of the external vehicle, which corresponds to the preset passing time node and the actual passing time node, does not exceed the corresponding deviation time length threshold value, judging that the current external vehicle has no influence; if the deviation time of the current real-time running track line of the external vehicle, which corresponds to the preset passing time node and the actual passing time node, exceeds the corresponding deviation time threshold, the external vehicle is judged to have influence, a vehicle passing influencing signal is generated, and the vehicle passing influencing signal is sent to the information sensing unit.
As a preferred embodiment of the present invention, after receiving the traffic influencing signal, the information sensing unit performs cross control on the provided vehicle traffic time period and the road traffic participant time period of the current real-time driving track line, after receiving the influencing vehicle traffic signal, the information sensing unit sets the deviation value between the real-time traffic time point of the current position of the current external vehicle and the preset traffic time point as a delay time threshold, and the real-time delay time in the external vehicle passing process does not exceed the delay time threshold to judge that the external vehicle is normally accessed, otherwise, judges that the external vehicle is abnormally accessed, performs video retrieval on each monitoring area in the driving track line of the external vehicle, and detects the on-vehicle articles of the external vehicle.
As a preferred embodiment of the present invention, the operation of the present vehicle travel monitoring unit is as follows:
collecting the driving time period when the external vehicles in the current real-time driving track line do not meet the driving instruction requirement of the traffic mark points and the number of the traffic mark points when the external vehicles in the real-time driving track line do not meet the driving instruction requirement, and analyzing the traffic mark points:
if the running time period required by the running instruction of the external vehicle which does not meet the traffic marking point in the current real-time running track line exceeds a running time period threshold value, or the number of the traffic marking points which are not required by the external vehicle according to the running instruction in the real-time running track line is not zero, generating a running risk signal of the vehicle and sending the running risk signal of the vehicle to an information sensing unit; if the running time period required by the running instruction of the traffic marking points is not met by the external vehicles in the current real-time running track line and does not exceed the running time period threshold value, and the number of the traffic marking points required by the running instruction of the external vehicles in the real-time running track line is zero, generating a running normal signal of the vehicle and sending the running normal signal of the vehicle to the information sensing unit.
As a preferred embodiment of the present invention, the running process of the running track supervision unit is as follows:
the method comprises the steps of obtaining the frequency of sudden speed change when no speed change is required in the running process of a current external vehicle and the maximum running average speed difference value of different road sections after the corresponding external vehicle has sudden speed change, and comparing the frequency with a sudden speed change frequency threshold value and a running average speed difference value threshold value respectively:
if the frequency of sudden speed change exceeds a sudden speed change frequency threshold value when no speed change is required in the running process of the current external vehicle or the maximum running average speed difference value of different road sections after the sudden speed change exceeds a maximum running average speed difference value threshold value corresponding to the external vehicle, judging that the running track of the external vehicle is supervised abnormally, generating a vehicle driving abnormal signal and sending the vehicle driving abnormal signal to a park driving management platform, and the park driving management platform detects the current external vehicle and checks the identity of a driver with a corresponding access terminal; if the frequency of sudden speed change does not exceed the threshold value of the frequency of sudden speed change when no speed change is required in the running process of the current external vehicle and the maximum running average speed difference value of different road sections after the sudden speed change corresponding to the external vehicle does not exceed the threshold value of the maximum running average speed difference value, judging that the running track of the external vehicle is normal in supervision, generating a vehicle driving normal signal and sending the vehicle driving normal signal to a park running management platform.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the running track of the real-time external vehicle is divided, the running track of the external vehicle is set so as to improve the tracking efficiency of the running track of the vehicle, and the reasonable planning of the path is convenient for reducing the probability of road congestion in the park, thereby improving the access efficiency of the external vehicle when entering the park; the method has the advantages that the running track tracking is carried out on the external vehicles, whether the road running risk affects the external vehicle traffic is monitored in real time, the influence on the access efficiency due to the fact that the external vehicle traffic is blocked is avoided, meanwhile, the increase of the stay time of the external vehicles is avoided, the potential safety access hazards of the external vehicles are increased, and the real-time safety of an intelligent park is reduced.
2. In the invention, the running track line of the current external vehicle is monitored, whether the real-time running of the current external vehicle meets the internal running requirement of the park is judged, the supervision of the external vehicle is improved, and the management efficiency of the internal road of the intelligent park is further improved; and carrying out safety supervision on the running track of the current external vehicle, and carrying out safety supervision on the running track when judging that the running track has no external interference, thereby improving the accuracy of the running supervision of the external vehicle.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a block diagram of the overall principle of the invention;
fig. 2 is a schematic block diagram of an information sensing unit in the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1-2, an intelligent park vehicle track tracking system based on artificial intelligence comprises a park vehicle management platform, wherein the park vehicle management platform is in communication connection with a real-time track dividing unit, a traveling track monitoring unit and an information sensing unit, and meanwhile the information sensing unit is in communication connection with a road traveling monitoring unit and a vehicle traveling monitoring unit;
when an external vehicle enters the intelligent park, the external vehicle needs to be tracked and monitored in real time, so that the access safety performance in the park can be improved; when an external vehicle is driven in, the park driving management platform monitors the external vehicle in real time, generates a real-time track dividing signal and sends the real-time track dividing signal to the real-time track dividing unit, and after the real-time track dividing unit receives the real-time track dividing signal, the real-time external vehicle is subjected to driving track division, and driving track setting of the external vehicle is convenient for improving the vehicle driving track tracking efficiency, and meanwhile, reasonable planning of a path is convenient for reducing the probability of road congestion in the park, so that the park access efficiency of the external vehicle is improved;
dividing the intelligent park into i subareas, wherein i is a natural number greater than 1, and all the subareas are provided with access terminals in the intelligent park, wherein the access terminals are expressed as companies or units in the park; marking an area where the access terminal of the real-time external vehicle is located as a real-time access area, taking the access terminal in the real-time access area and the access terminal of the current external vehicle as start and end position points of a running track, generating a preset running track line of the current external vehicle according to the start and end position points, simultaneously acquiring the number of the access terminals currently reserved for access in a midway-passing area of the preset running track line and the density value of the access terminals in a passing-through area of the preset running track line, and comparing the number of the access terminals currently reserved for access in the midway-passing area of the preset running track line and the density value of the access terminals in the passing-through area of the preset running track line with an access terminal number threshold value and an access terminal density value threshold value respectively:
if the number of the access terminals currently reserved for access in the middle-path area of the preset running track line exceeds the threshold value of the number of the access terminals or the density value of the access terminals in the middle-path area of the preset running track line exceeds the threshold value of the density value of the access terminals, judging that the current preset running track line has a high risk of traffic jam, and setting the current preset running track line as an alternative track line; if the number of the access terminals currently reserved for access in the midway area of the preset running track line does not exceed the threshold value of the number of the access terminals, and the density value of the access terminals in the midway area of the preset running track line does not exceed the threshold value of the density value of the access terminals, judging that the current preset running track line has low risk of traffic congestion, and setting the current preset running track line as a preferred track line;
the method comprises the steps that a current alternative track line and a first-choice track line are sent to a park driving management platform, after the park driving management platform receives the current alternative track line and the first-choice track line, the park driving management platform monitors the external vehicles, and if the park entering period of the external vehicles is not in a visit peak period, a preset driving track line with the shortest distance corresponding to the external vehicles is used as a real-time driving track line;
the park driving management platform generates an information sensing signal and sends the information sensing signal to the information sensing unit, and the information sensing unit generates a road driving monitoring signal and a vehicle driving monitoring signal and sends the road driving monitoring signal and the vehicle driving monitoring signal to the road driving monitoring unit and the vehicle driving monitoring unit respectively after receiving the information sensing signal;
after the road running monitoring unit receives the road running monitoring signal, the road running monitoring unit tracks the running track of the external vehicles, monitors whether the road running risk affects the passing of the external vehicles in real time, avoids the influence on the access efficiency due to the blocking of the passing of the external vehicles, simultaneously avoids the increase of the stay time of the external vehicles, increases the potential safety hazard of the external vehicle access, and reduces the real-time safety of an intelligent park;
binding an external vehicle with a real-time running track line, carrying out real-time tracking and monitoring in a passing period of the external vehicle, and dividing the real-time running track line into a passed section and an un-passed section according to the real-time position of the external vehicle in the real-time running track line; acquiring the overlapping time length of the road traffic participant passing time period and the external vehicle passing time period in the non-passing section of the real-time driving track line and the distance between the road traffic participant and the external vehicle in the passing section, and comparing the overlapping time length of the road traffic participant passing time period and the external vehicle passing time period in the non-passing section of the real-time driving track line and the distance between the road traffic participant and the external vehicle in the passing section with an overlapping time length threshold value and a road section distance threshold value respectively:
if the overlapping time of the road traffic participator passing time period and the external vehicle passing time period in the non-passing section of the real-time driving track line exceeds the overlapping time threshold, or the distance between the road traffic participator and the external vehicle passing section in the passing section exceeds the section distance threshold, judging that the road traffic participator has passing influence, generating a passing influence signal, sending the passing influence signal to an information sensing unit, carrying out passing monitoring on the external vehicle, and if the deviation time of the preset passing time node corresponding to the same position of the external vehicle current real-time driving track line and the actual passing time node does not exceed the corresponding deviation time threshold, judging that the current external vehicle has no influence; if the deviation time of the current real-time running track line of the external vehicle, which corresponds to the preset passing time node and the actual passing time node, exceeds the corresponding deviation time threshold, judging that the current external vehicle has influence, generating an influence vehicle passing signal and sending the influence vehicle passing signal to the information sensing unit;
if the overlapping time of the road traffic participator passing time period and the external vehicle passing time period in the non-passing section of the real-time driving track line does not exceed the overlapping time threshold, and the road distance between the road traffic participator and the intersection passing section of the external vehicle in the passing section does not exceed the road distance threshold, judging that the road traffic participator has no passing influence, generating a passing non-influence signal and sending the passing non-influence signal to the information sensing unit; the road traffic participators are represented as road edge garbage trucks in roads or pedestrians occupying roads and the like;
after the information sensing unit receives the traffic influence signal, the provided vehicle traffic time period and the road traffic participator time period of the current real-time running track line are subjected to cross control, after the information sensing unit receives the influence vehicle traffic signal, the deviation value of the real-time traffic time point of the current position of the current external vehicle and the preset traffic time point is set as a delay time length threshold, the real-time delay time length in the external vehicle passing process does not exceed the delay time length threshold and is judged to be normally accessed, otherwise, abnormal access is judged, and video calling is carried out on each monitoring area in the running track line of the external vehicle and the external vehicle on-board articles are detected;
after the vehicle running monitoring unit receives the vehicle running monitoring signal, the vehicle running monitoring unit monitors the running track line of the current external vehicle, judges whether the real-time running of the current external vehicle meets the internal running requirement of the park, improves the supervision degree of the external vehicle and further improves the management efficiency of the internal road of the intelligent park;
acquiring traffic sign points arranged in a real-time running track line of a current external vehicle, and simultaneously marking running indication marks in the traffic sign points as running instruction requirements, wherein if the traffic sign is speed limit 40 mich or turning is forbidden, the corresponding running instruction requirement is lower than 40 mich and the current area does not turn around;
collecting the driving time period when the external vehicles in the current real-time driving track line do not meet the driving instruction requirement of the traffic mark points and the number of the traffic mark points when the external vehicles in the real-time driving track line do not meet the driving instruction requirement of the traffic mark points, and analyzing the driving time period when the external vehicles in the current real-time driving track line do not meet the driving instruction requirement of the traffic mark points and the number of the traffic mark points when the external vehicles in the real-time driving track line do not meet the driving instruction requirement of the traffic mark points:
if the running time period required by the running instruction of the traffic marking points is not met by the external vehicles in the current real-time running track line and exceeds a running time period threshold value, or the number of the traffic marking points which are not required by the running instruction by the external vehicles in the real-time running track line is not zero, judging that the running of the external vehicles in the current real-time running track line is abnormal, generating a running risk signal of the external vehicles and sending the running risk signal of the external vehicles to an information sensing unit; after receiving the vehicle running risk signal, the information sensing unit performs voice broadcasting on the current external vehicle and controls the access period of the corresponding access terminal; if the running time period required by the running instruction of the traffic marking points is not met by the external vehicles in the current real-time running track line and does not exceed the running time period threshold value, and the number of the traffic marking points required by the running instruction of the external vehicles in the real-time running track line is zero, judging that the external vehicles in the current real-time running track line run normally, generating a normal running signal of the own vehicle and sending the normal running signal of the own vehicle to an information sensing unit;
it can be understood that the running without the running instruction is represented as the running without the running according to the traffic sign and directly shot by the traffic sign coverage area camera, the running without the running instruction meeting the traffic sign point is represented as the running with the running parameter not meeting the traffic sign point setting and not shot by the traffic sign coverage area camera, and the running without the shooting is detected through the running process of the real-time track line, such as the parameters of the speed of the external vehicle, the running track of the external vehicle, the parking area, the parking time of the parking area and the like;
the information sensing unit generates a driving track non-abnormal signal and sends the driving track non-abnormal signal to the park driving management platform after receiving the driving normal signal and the traffic non-influence signal of the vehicle;
after the park driving management platform receives the driving track abnormal signal, generating a driving track supervision signal and sending the driving track supervision signal to the driving track supervision unit, after the driving track supervision unit receives the driving track supervision signal, carrying out safety supervision on the driving track of the current foreign vehicle, and carrying out driving track safety supervision when judging that the driving track has no foreign interference, so as to improve the driving supervision accuracy of the foreign vehicle;
the method comprises the steps of obtaining the frequency of sudden speed change when no speed change is required in the running process of a current external vehicle and the maximum running average speed difference value of different road sections after the sudden speed change exists in the corresponding external vehicle, and comparing the frequency of sudden speed change when no speed change is required in the running process of the current external vehicle and the maximum running average speed difference value of different road sections after the sudden speed change exists in the corresponding external vehicle with a sudden speed change frequency threshold and a running average speed difference value threshold respectively: the speed change requirement is expressed as the need of steering at the crossing or the need of stopping close to the position of the access end; it can be understood that if the sudden speed change frequency and the running average speed difference value are too large, the running abnormality of the current external vehicle is judged, and the safety risk exists;
if the frequency of sudden speed change exceeds a sudden speed change frequency threshold value when no speed change is required in the running process of the current external vehicle or the maximum running average speed difference value of different road sections after the sudden speed change exceeds a maximum running average speed difference value threshold value corresponding to the external vehicle, judging that the running track of the external vehicle is supervised abnormally, generating a vehicle driving abnormal signal and sending the vehicle driving abnormal signal to a park driving management platform, and the park driving management platform detects the current external vehicle and checks the identity of a driver with a corresponding access terminal;
if the frequency of sudden speed change does not exceed the threshold value of the frequency of sudden speed change when no speed change is required in the running process of the current external vehicle and the maximum running average speed difference value of different road sections corresponding to the external vehicle after sudden speed change does not exceed the threshold value of the maximum running average speed difference value, judging that the running track of the external vehicle is normal in supervision, generating a vehicle driving normal signal and sending the vehicle driving normal signal to a park running management platform;
when the method is used, the real-time external vehicle is subjected to running track division through the real-time track dividing unit, the access end in the real-time access area and the entrance of the current external vehicle are used as the starting and ending position points of the running track, the preset running track line of the current external vehicle is generated according to the starting and ending position points, the preset running track line is divided into an alternative track line and a preferred track line according to analysis, and the current alternative track line and the preferred track line are sent to a park running management platform; the information sensing unit is used for performing information sensing analysis on the intelligent park to generate a road driving monitoring signal and a vehicle driving monitoring signal; tracking the running track of the external vehicle through the road running monitoring unit, generating a traffic influence signal or a traffic no influence signal through analysis, and monitoring the traffic of the external vehicle after generating the traffic influence signal; the vehicle driving monitoring unit monitors the driving track line of the current external vehicle, the driving track monitoring unit monitors the driving track of the current external vehicle safely, the external vehicle analyzes and generates a vehicle driving abnormal signal or a vehicle driving normal signal, and the vehicle driving abnormal signal or the vehicle driving normal signal is sent to the park driving management platform.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. Intelligent park travel path tracking system based on artificial intelligence, a serial communication port, including park travel management platform, park travel management platform communication is connected with:
the real-time track dividing unit is used for dividing the running track of the real-time external vehicle, dividing the intelligent park into i subareas, wherein i is a natural number larger than 1, access ends in the intelligent park exist in all subareas, the area where the access ends of the real-time external vehicle are located is marked as a real-time access area, the park entrance of the current external vehicle and the access ends in the real-time access area are used as starting and ending position points of the running track, a preset running track of the current external vehicle is generated according to the starting and ending position points, the preset running track is divided into an alternative track and a preferred track according to analysis, and the current alternative track and the preferred track are sent to the park running management platform;
the information sensing unit is used for performing information sensing analysis on the intelligent park to generate a road running monitoring signal and a vehicle running monitoring signal, and respectively transmitting the road running monitoring signal and the vehicle running monitoring signal to the road running monitoring unit and the vehicle running monitoring unit;
the road running monitoring unit is used for tracking running tracks of the external vehicles, binding the external vehicles with the real-time running track lines, carrying out real-time tracking monitoring in a passing period of the external vehicles, dividing the real-time running track lines into a passing section and an un-passing section according to the real-time positions of the external vehicles in the real-time running track lines, generating a passing influence signal or a passing un-passing influence signal through analysis, and carrying out passing monitoring on the external vehicles after the passing influence signal is generated; the operation process of the road running monitoring unit is as follows:
the overlapping duration of the traffic time interval of the road traffic participators and the traffic time interval of the external vehicles in the non-traffic section of the real-time driving track line and the intersection traffic road section distance of the road traffic participators and the external vehicles in the traffic section are obtained, and compared with an overlapping duration threshold value and a road section distance threshold value respectively:
if the overlapping time of the traffic time interval of the road traffic participators in the non-traffic section of the real-time driving track line and the traffic time interval of the external vehicles exceeds the threshold of the overlapping time interval, or the distance between the road traffic participators in the traffic section and the intersection traffic section of the external vehicles exceeds the threshold of the road section distance, judging that the road traffic participators have traffic influence, generating a traffic influence signal, transmitting the traffic influence signal to an information sensing unit, and carrying out traffic monitoring on the external vehicles;
if the overlapping time of the road traffic participator passing time period and the external vehicle passing time period in the non-passing section of the real-time driving track line does not exceed the overlapping time threshold, and the road distance between the road traffic participator and the intersection passing section of the external vehicle in the passing section does not exceed the road distance threshold, judging that the road traffic participator has no passing influence, generating a passing non-influence signal and sending the passing non-influence signal to the information sensing unit; the foreign vehicle traffic monitoring process is as follows: if the deviation time length of the current real-time running track line of the external vehicle, which corresponds to the preset passing time node and the actual passing time node, does not exceed the corresponding deviation time length threshold value, judging that the current external vehicle has no influence; if the deviation time of the current real-time running track line of the external vehicle, which corresponds to the preset passing time node and the actual passing time node, exceeds the corresponding deviation time threshold, judging that the current external vehicle has influence, generating an influence vehicle passing signal and sending the influence vehicle passing signal to the information sensing unit;
after the information sensing unit receives the traffic influence signal, the provided vehicle traffic time period and the road traffic participator time period of the current real-time running track line are subjected to cross control, after the information sensing unit receives the influence vehicle traffic signal, the deviation value of the real-time traffic time point of the current position of the current external vehicle and the preset traffic time point is set as a delay time length threshold, the real-time delay time length in the external vehicle passing process does not exceed the delay time length threshold and is judged to be normally accessed, otherwise, abnormal access is judged, and video calling is carried out on each monitoring area in the running track line of the external vehicle and the external vehicle on-board articles are detected;
the vehicle running monitoring unit is used for monitoring the running of the vehicle on the running track line of the current external vehicle, acquiring the traffic mark point position arranged in the real-time running track line of the current external vehicle, simultaneously, marking the running indication in the traffic mark point as running instruction requirements, analyzing and generating a vehicle running risk signal or a vehicle running normal signal through the running instruction requirements, and sending the vehicle running risk signal or the vehicle running normal signal to the information sensing unit, and generating a running track abnormal signal and sending the running track abnormal signal to the park running management platform after the information sensing unit receives the vehicle running normal signal and the running abnormal signal.
2. The intelligent park vehicle track tracking system based on artificial intelligence according to claim 1, wherein the park vehicle management platform is further connected with a vehicle track monitoring unit, and the vehicle track monitoring unit is used for safely monitoring the current external vehicle track, generating a vehicle driving abnormal signal or a vehicle driving normal signal through external vehicle analysis, and sending the vehicle driving abnormal signal or the vehicle driving normal signal to the park vehicle management platform.
3. The intelligent park path tracking system based on artificial intelligence of claim 1, wherein the real-time path dividing unit operates as follows:
the method comprises the steps of obtaining the number of access terminals currently reserved for access in a midway region of a preset running track line and the density value of access terminals in a passing region of the preset running track line, and comparing the number of access terminals currently reserved for access in the midway region of the preset running track line and the density value of access terminals in the passing region of the preset running track line with an access terminal number threshold value and an access terminal density value threshold value respectively:
if the number of the access terminals currently reserved for access in the middle-path area of the preset running track line exceeds the threshold value of the number of the access terminals or the density value of the access terminals in the middle-path area of the preset running track line exceeds the threshold value of the density value of the access terminals, judging that the current preset running track line has a high risk of traffic jam, and setting the current preset running track line as an alternative track line; if the number of the access terminals currently reserved for access in the midway area of the preset running track line does not exceed the threshold value of the number of the access terminals, and the density value of the access terminals in the midway area of the preset running track line does not exceed the threshold value of the density value of the access terminals, judging that the current preset running track line has low traffic jam risk, and setting the current preset running track line as a preferred track line.
4. The intelligent park path tracking system based on artificial intelligence according to claim 3, wherein the current alternative path line and the first selected path line are sent to a park path line management platform, the park path line management platform monitors the external vehicles after receiving the current alternative path line and the first selected path line, and if the entering period of the external vehicles is not in the visit peak period, the preset path line with the shortest distance corresponding to the external vehicles is taken as the real-time path line.
5. The intelligent park track following system based on artificial intelligence of claim 1, wherein the running process of the car running monitoring unit is as follows:
collecting the driving time period when the external vehicles in the current real-time driving track line do not meet the driving instruction requirement of the traffic mark points and the number of the traffic mark points when the external vehicles in the real-time driving track line do not meet the driving instruction requirement, and analyzing the traffic mark points:
if the running time period required by the running instruction of the external vehicle which does not meet the traffic marking point in the current real-time running track line exceeds a running time period threshold value, or the number of the traffic marking points which are not required by the external vehicle according to the running instruction in the real-time running track line is not zero, generating a running risk signal of the vehicle and sending the running risk signal of the vehicle to an information sensing unit; if the running time period required by the running instruction of the traffic marking points is not met by the external vehicles in the current real-time running track line and does not exceed the running time period threshold value, and the number of the traffic marking points required by the running instruction of the external vehicles in the real-time running track line is zero, generating a running normal signal of the vehicle and sending the running normal signal of the vehicle to the information sensing unit.
6. The intelligent park path tracking system based on artificial intelligence of claim 2, wherein the path supervision unit operates as follows:
the method comprises the steps of obtaining the frequency of sudden speed change when no speed change is required in the running process of a current external vehicle and the maximum running average speed difference value of different road sections after the corresponding external vehicle has sudden speed change, and comparing the frequency with a sudden speed change frequency threshold value and a running average speed difference value threshold value respectively:
if the frequency of sudden speed change exceeds a sudden speed change frequency threshold value when no speed change is required in the running process of the current external vehicle or the maximum running average speed difference value of different road sections after the sudden speed change exceeds a maximum running average speed difference value threshold value corresponding to the external vehicle, judging that the running track of the external vehicle is supervised abnormally, generating a vehicle driving abnormal signal and sending the vehicle driving abnormal signal to a park driving management platform, and the park driving management platform detects the current external vehicle and checks the identity of a driver with a corresponding access terminal; if the frequency of sudden speed change does not exceed the threshold value of the frequency of sudden speed change when no speed change is required in the running process of the current external vehicle and the maximum running average speed difference value of different road sections after the sudden speed change corresponding to the external vehicle does not exceed the threshold value of the maximum running average speed difference value, judging that the running track of the external vehicle is normal in supervision, generating a vehicle driving normal signal and sending the vehicle driving normal signal to a park running management platform.
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