CN115798098A - Intelligent management and control method for vehicles in logistics park - Google Patents

Intelligent management and control method for vehicles in logistics park Download PDF

Info

Publication number
CN115798098A
CN115798098A CN202310044621.9A CN202310044621A CN115798098A CN 115798098 A CN115798098 A CN 115798098A CN 202310044621 A CN202310044621 A CN 202310044621A CN 115798098 A CN115798098 A CN 115798098A
Authority
CN
China
Prior art keywords
vehicle
park
control module
central control
parked
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310044621.9A
Other languages
Chinese (zh)
Inventor
王颖
袁鹏
张龙龙
梁庆功
朱亮
田振江
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CNOOC Energy Logistics Co Ltd
Original Assignee
CNOOC Energy Logistics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CNOOC Energy Logistics Co Ltd filed Critical CNOOC Energy Logistics Co Ltd
Priority to CN202310044621.9A priority Critical patent/CN115798098A/en
Publication of CN115798098A publication Critical patent/CN115798098A/en
Pending legal-status Critical Current

Links

Images

Abstract

The invention relates to the technical field of vehicle management and control, in particular to an intelligent management and control method for vehicles in a logistics park. The central control module is correspondingly connected with the monitoring module and each facility in the garden, when a vehicle applies for entering the garden, license plate information and driver identity information acquired by the monitoring module are read, whether the vehicle is permitted to enter the garden is judged, the driving path of the vehicle is planned for the first time according to the specific requirement of the driver, the central control module comprehensively considers the quantity of the vehicles under the road conditions according to the quality of the vehicle acquired by the monitoring module and the quantity of the vehicles under the information capture device so as to determine the specific driving path after the vehicle enters the garden, the condition in the garden is monitored in real time, and the planned vehicles entering the garden are controlled in time.

Description

Intelligent management and control method for vehicles in logistics park
Technical Field
The invention relates to the technical field of vehicle management and control, in particular to an intelligent management and control method for vehicles in a logistics park.
Background
The logistics park is a place where various logistics facilities and different types of logistics enterprises are arranged in a spatially centralized manner in several transportation modes in a region where logistics operations are concentrated, and is also an aggregation point of the logistics enterprises with a certain scale and various service functions. At present, more and more large-scale logistics park operation vehicles are used. The driver can not predict the distribution of vacant parking spaces in the park and can not predict the road condition in the park.
Chinese patent publication No.: CN111027909A. The method for calculating the working efficiency of the park operation vehicle is disclosed; and the vehicle appoints the park entering date in advance and calculates and determines the flow and the time period of the park entering and exiting through historical data. As can be seen, the following problems exist: the driving path of the vehicle after entering the park is not planned, and the vehicle which is not reserved can arrive at the park in advance or the reserved vehicle cannot arrive at the park in time in advance, so that too much uncertainty and contingency can occur.
Disclosure of Invention
Therefore, the invention provides an intelligent management and control method for vehicles in a logistics park, which is used for overcoming the problem of uncertainty of vehicles running in the park caused by the phenomenon that vehicles which are not reserved arrive at the park in advance or reserved vehicles do not arrive at the park in time because the driving path of the vehicles after entering the park cannot be planned in the prior art.
In order to achieve the purpose, the invention provides an intelligent management and control method for vehicles in a logistics park, which comprises the following steps: s1, judging park entrance qualification, namely marking a vehicle as a vehicle to be park when a monitoring module at an entrance of a park judges that the vehicle exists in a preset position, identifying the license plate number of the vehicle to be park, detecting whether a matched license plate number exists in a cloud end or not by a central control module to preliminarily judge whether the vehicle to be park has the park entrance qualification or not, and controlling the monitoring module to collect contour information of the vehicle to be park when the vehicle to be park is preliminarily judged to have the park entrance qualification to determine the type of the vehicle to be park, wherein the central control module finishes secondary judgment whether the vehicle to be park has the park entrance qualification or not according to the fact that whether the license plate number and the type of the vehicle to be park are matched with corresponding preset information stored in the cloud end or not; s2, planning a path for the first time, wherein the central control module determines parking points of the park entering vehicles after the park entering vehicles enter the park according to park entering demand information of the park entering vehicles after judging that the park entering vehicles have park entering qualification for the second time, and plans a driving path of the park entering vehicles after entering the park according to position information of the parking points so as to generate a plurality of first paths to be selected; s3, planning a secondary path, wherein the central control module selects a corresponding screening standard according to the quality of the vehicles to be parked to screen a plurality of generated first paths to be selected so as to obtain a plurality of screened second paths to be selected, the central control module acquires vehicle operation information of existing vehicles in each road in the park through a plurality of information capturing devices arranged in the park so as to determine the estimated number of vehicles to be parked in each second path to be selected, and further screens each second path to be selected according to the estimated number of vehicles to be parked so as to obtain a final driving path for the vehicles to be parked; the vehicle operation information includes position information, an operation direction, and an operation speed of each vehicle in the park.
Further, in the step S1, the central control module controls the monitoring module to acquire the license plate number of the vehicle to be park when the vehicle to be park exists in the preset position, and searches the license plate number through the cloud end to preliminarily determine whether the vehicle to be park has the qualification of entering the park,
if the central control module detects that the license plate number is the registered license plate number, the central control module preliminarily judges that the vehicle to enter the park has the park entrance qualification, the central control module controls the monitoring module to collect the outline information of the vehicle to enter the park so as to determine the type of the vehicle to enter the park, and further judges whether the vehicle to enter the park has the park entrance qualification or not according to whether the type of the vehicle to enter the park is the same as the preset vehicle type which is prestored in the cloud and is matched with the license plate number; the types of vehicles include cars and vans;
if the central control module detects that the license plate number is not recorded, the central control module acquires the identity information of the driver in the vehicle to be entered through the monitoring module, and matches the identity information with the personnel identity information prestored in the cloud end to judge whether the vehicle to be entered has the qualification of entering the park again.
Further, the central control module determines the type of the vehicle to enter the park under a first preset condition, and further judges whether the vehicle to enter the park has the park qualification or not according to whether the type of the vehicle to enter the park is the same as a preset vehicle type which is prestored in the cloud and matched with the license plate number,
if the type of the vehicle to be park is the same as the type of the corresponding preset vehicle in the cloud, the central control module judges that the vehicle to be park has park entering qualification, controls the monitoring module to acquire park entering demand information of the vehicle to be park, determines a park point of the vehicle to be park entering according to the demand information, and plans a park entering path of the vehicle to be park entering according to the park point and the distribution situation of the existing vehicles in the park; the demand information comprises unloading, loading and parking;
if the type of the vehicle to be parked is different from the corresponding preset vehicle type in the cloud, the central control module judges that the license plate of the vehicle to be parked is replaced privately, and the central control module controls the alarm module to give an alarm to remind security personnel to confirm the situation;
the first preset condition is that the central control module preliminarily judges that the vehicle to be parked in the preset position has the parking qualification.
Further, the central control module controls the monitoring module to acquire the demand information of the vehicle to enter the park under a second preset condition and plans the park entering path of the vehicle to enter the park according to the information,
if the demand information of the vehicle to enter the park is unloading, which is acquired by the central control module, the central control module selects a corresponding unloading point from the park as a parking point for the vehicle to enter the park, controls the monitoring module to detect the quality of the vehicle to enter the park through a quality detector arranged at the preset position, and plans a park entering path of the vehicle to enter the park according to the quality;
if the demand information of the vehicle to be park is loading, which is acquired by the central control module, the central control module takes a loading point corresponding to the vehicle to be park as a parking point for the vehicle to be park and plans a park entering path of the vehicle to be park;
if the demand information of the vehicle to be parked acquired by the central control module is parking, the central control module selects a corresponding parking point from the park according to the type of the vehicle to be parked as a parking point for the vehicle to be parked, and plans a parking path of the vehicle to be parked;
the second preset condition is that the central control module judges that the vehicle to be parked has the parking qualification.
Further, the central control module generates a plurality of first paths to be selected for the vehicles to enter the park under a third preset condition and generates a screening standard for each first path to be selected according to the mass M of the vehicles to enter the park, the central control module selects the corresponding screening standard to screen a plurality of second paths to be selected from each first path to be selected, the central control module is provided with a first preset vehicle mass Ma, a second preset vehicle mass Mb, a first preset turning angle standard R1 and a second preset turning angle standard R2, wherein Ma is less than Mb, R1 is more than 45 degrees and R2 is more than 120 degrees,
if M is less than or equal to Ma, the central control module judges that the minimum turning angle standard aiming at the vehicle to be entered is not set and screens out a corresponding number of second paths to be selected according to ascending sequence of advancing time;
if Ma is larger than M and smaller than or equal to Mb, the central control module sets R2 as the minimum turning angle standard for the vehicle to be rounded, and screens out all the first paths to be selected with turning angles smaller than R2 to obtain a plurality of second paths to be selected;
if M is larger than Mb, the central control module sets R1 as the minimum turning angle standard aiming at the vehicle to be rounded and screens out all the first paths to be selected with turning angles smaller than R1 to obtain a plurality of second paths to be selected;
the third preset condition is that the central control module judges that the demand information of the vehicle to be parked is unloading.
Further, the central control module acquires vehicle running information of existing vehicles in each road in the park through the information capture device under a fourth preset condition to estimate the number of the vehicles to be joined and corrects estimated traveling time of each second candidate path of the vehicles to be joined into the park according to the estimated number of the vehicles to be joined, i =1,2, 3.
The fourth preset condition is that the central control module selects a plurality of second paths to be selected from each first path to be selected by selecting corresponding screening standards.
Further, the central control module selects a travel time length correction coefficient alpha of the vehicle to enter the park according to the mass M of the vehicle to enter the park, which is acquired by the monitoring module, under a fourth preset condition so as to calculate the travel time after the second path to be selected is corrected, and selects the final travel path with the shortest travel time in an ascending order according to the corrected travel time,
if M is less than or equal to Ma, the central control module selects alpha =1.0 as a travel duration correction coefficient of the vehicle to be parked;
if Ma is larger than M and is not larger than Mb, the central control module selects alpha =1.2 as a travel duration correction coefficient of the vehicle to be parked;
if M is larger than Mb, the central control module selects alpha =1.4 as a travel duration correction coefficient of the vehicle to be parked;
the fourth preset condition is that the central control module selects a plurality of second paths to be selected from each first path to be selected by selecting corresponding screening standards.
Further, the central control module acquires the identity information of a driver in the vehicle to be entered into the park through the monitoring module under a fifth preset condition,
if the identity information of the driver in the vehicle to be park is the input person, the central control module sends a release instruction, and stores the license plate number of the vehicle to be park and the vehicle type corresponding to the license plate number to the cloud end, and the central control module plans the park entering path of the vehicle to be park according to the demand information of the vehicle to be park when finishing storing the information of the vehicle to be park;
if the identity information of the driver in the vehicle to be parked is not recorded, the central control module gives an alarm;
and the fifth preset condition is that the central control module judges that the license plate number of the vehicle to enter the park is not recorded.
Furthermore, the central control module plans the driving path of the vehicle through the vehicle type information acquired by the monitoring module under a sixth preset condition,
if the vehicle is a car, the central control module acquires the identity information of a driver of the vehicle through the monitoring module, and takes a parking lot with a spare parking space which is closest to the office area of the driver as a parking spot for the vehicle to be parked, and the central control module judges that the shortest time-consuming path from the entrance of the park to the parking spot is a final driving path according to the traveling time-consuming;
if the vehicle is a truck, guiding a driver of the vehicle to drive to a corresponding parking area according to the specific type of the vehicle;
the sixth preset condition is that the central control module judges that the demand information of the vehicle to enter the park is parking.
Further, the central control module manually judges the identity of the vehicle personnel by security personnel under a seventh preset condition so as to make an instruction of refusing to enter or permitting to pass,
if the security personnel send a release permission instruction, planning the vehicle running path, and storing the license plate number and the vehicle type of the vehicle to be entered and the identity information of the driver in the vehicle to be entered into the park into a cloud end by the central control module;
if the security personnel send an instruction of refusing to enter, the central control module refuses the vehicle to enter;
the seventh preset condition is that the central control module gives an alarm.
Compared with the prior art, the intelligent parking lot management and control system has the advantages that the central control module is correspondingly connected with the monitoring module and all facilities in the park and used for reading the license plate information and the identity information of the driver obtained by the monitoring module when a vehicle applies for entering the park to judge whether the vehicle is permitted to enter the park and primarily planning the running path of the vehicle according to the specific requirement of the driver, and the central control module comprehensively considers the quality of the vehicle obtained by the monitoring module and the number of the vehicles in road conditions through the information capturing device to determine the specific running path of the vehicle after the vehicle enters the park so as to ensure real-time monitoring of the condition in the park and timely manage and control the vehicles entering the park in a planning manner.
Furthermore, the central control module matches the license plate number and the driver identity information applied to enter the park with the license plate number and the driver identity information which are pre-stored in the cloud and have acquired the park entering qualification so as to judge whether the vehicle has the park entering qualification, and the vehicle applied to enter the park is judged so as to prevent the property safety and the worker life safety in the park from being threatened when the unknown vehicle enters the park.
Further, the central control module matches the recorded license plate number with the license plate number prestored in the cloud, gives an alarm if the license plate number is not matched with the license plate number, and acquires the vehicle demand information to perform specific path planning according to the unloading, loading and parking demands of the vehicle if the license plate number is matched with the license plate number.
Furthermore, the central control module specifically plans the driving path of the vehicle according to specific demand information of the vehicle after judging that the vehicle has the park entering qualification, plans the park entering path according to the quality of the vehicle if the vehicle demand is unloading, plans the park entering path according to the loading point if the vehicle demand is loading, detects the type of the vehicle to primarily screen the parking area of the vehicle if the vehicle demand is parking, plans the optimal driving path of different vehicles in detail, improves the safety of traffic operation in the park area, and reduces the time cost of a driver.
Furthermore, the central control module plans the optimal path according to the quality of the vehicle to be parked and the turning radian of a plurality of paths from the entrance of the park to the unloading point, so that traffic accidents caused by too large mass and too urgent turning of the vehicle are effectively avoided, and the safety in the park is ensured.
Furthermore, the central control module predicts the driving time of the corresponding lane according to the predicted number of the vehicles meeting in the lane, and selects the path with the shortest driving time as the final driving path, so that the driving time of a driver is shortened, the possibility of path congestion is reduced, and the driving efficiency of the vehicles in the park is effectively improved.
Furthermore, the travel time correction coefficient of the vehicle to be parked is selected according to the quality of the vehicle to be parked, so that the estimated travel time is more accurate, and the path selection is more appropriate.
Further, the central control module matches the vehicle driver information with the cloud prestored personnel information, if the matching is successful, the vehicle driving path is allowed to be planned, and the license plate number and the vehicle type of the driver are stored in the cloud, so that the vehicle can enter the park again, and the vehicle entering qualification judgment efficiency is improved.
Furthermore, the vehicle path required by the vehicle for parking is planned by the central control module, so that the vehicle can accurately and quickly find the corresponding parking space, and the time waste caused by the difficulty in finding the parking space is effectively avoided.
Further, if the license plate number of the vehicle to enter the park is the license plate number which is not recorded, and the identity information of the vehicle driver is not recorded, the central control module sends out an alarm to remind security personnel to enter a park entrance to judge the purpose of entering the vehicle, if the security personnel permit the vehicle to enter the park, the driving path of the vehicle is planned, if the security personnel refuse the vehicle to enter the park, the central control module refuse the vehicle to enter, so that the situation that the leisure people and the like enter the park to interfere the work order of the park is effectively avoided, and the security coefficient in the park is improved.
Drawings
FIG. 1 is a flow chart of a method for intelligently managing and controlling vehicles in a logistics park according to an embodiment of the invention;
fig. 2 is a flow chart of park entering qualification determination of the intelligent management and control method for vehicles in a logistics park according to the embodiment of the invention;
FIG. 3 is a flow chart of a path planning process of the intelligent management and control method for vehicles in a logistics park according to the embodiment of the invention;
fig. 4 is a flow chart illustrating screening of a second candidate route according to the intelligent management and control method for vehicles in a logistics park in an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Please refer to fig. 1, fig. 2, fig. 3 and fig. 4, which are a flowchart of an intelligent management and control method for vehicles in a logistics park, a flowchart of qualification determination for entering the park, a flowchart of primary path planning, and a flowchart of a second candidate path screening according to an embodiment of the present invention; the embodiment of the invention provides a flow chart of an intelligent management and control method for vehicles in a logistics park, which comprises the following steps:
s1, judging park entering qualification, wherein a monitoring module at an entrance of a park marks a vehicle as a vehicle to be park entered when judging that the vehicle exists at a preset position, and identifies the license plate number of the vehicle to be park entered, a central control module detects whether a matched license plate number exists in a cloud end so as to preliminarily judge whether the vehicle to be park entered has the park entering qualification, and controls the monitoring module to collect profile information of the vehicle to be park entered when preliminarily judging that the vehicle to be park entered has the park entering qualification so as to determine the type of the vehicle to be park entered, and the central control module finishes secondary judgment on whether the vehicle to be park entered has the park entering qualification according to the fact that whether the license plate number and the type of the vehicle to be park entered are matched with corresponding preset information stored in the cloud end;
s2, planning a path for the first time, wherein the central control module determines a parking point of the vehicle to be parked after the vehicle to be parked enters the park according to the park entering demand information of the vehicle to be parked after judging that the vehicle to be parked has the park entering qualification for the second time, and plans a driving path of the vehicle to be parked after the vehicle to be parked enters the park for the first time according to the position information of the parking point so as to generate a plurality of first paths to be selected;
s3, planning a secondary path, wherein the central control module selects a corresponding screening standard according to the quality of the vehicles to be parked to screen a plurality of generated first paths to be selected so as to obtain a plurality of screened second paths to be selected, the central control module acquires vehicle operation information of existing vehicles in each road in the park through a plurality of information capturing devices arranged in the park so as to determine the estimated number of vehicles to be parked in each second path to be selected, and further screens each second path to be selected according to the estimated number of vehicles to be parked so as to obtain a final driving path for the vehicles to be parked; the vehicle operation information includes position information, an operation direction, and an operation speed of each vehicle in the park.
Please refer to fig. 2, which is a flowchart illustrating the park qualification determination according to the present invention, including:
in the step S1, the central control module controls the monitoring module to acquire the license plate number of the vehicle to be park when the vehicle to be park exists in the preset position, searches the license plate number through the cloud end to preliminarily judge whether the vehicle to be park has the qualification of entering the park,
if the central control module detects that the license plate number is the recorded license plate number, the central control module preliminarily judges that the vehicle to be parked has park entrance qualification, the central control module controls the monitoring module to collect contour information of the vehicle to be parked so as to determine the type of the vehicle to be parked, and whether the vehicle to be parked has park entrance qualification or not is further judged according to whether the type of the vehicle to be parked is the same as a preset vehicle type which is prestored in the cloud and is matched with the license plate number; the types of vehicles include cars and vans;
if the central control module detects that the license plate number is not recorded, the central control module acquires the identity information of the driver in the vehicle to be entered through the monitoring module, and matches the identity information with the personnel identity information prestored in the cloud end to judge whether the vehicle to be entered has the qualification of entering the park again.
Specifically, the central control module determines the type of the vehicle to enter the park under a first preset condition, and further determines whether the vehicle to enter the park has the park qualification or not according to whether the type of the vehicle to enter the park is the same as the preset vehicle type which is prestored in the cloud and is matched with the license plate number,
if the type of the vehicle to be park is the same as the type of the corresponding preset vehicle in the cloud, the central control module judges that the vehicle to be park has park entering qualification, controls the monitoring module to acquire park entering demand information of the vehicle to be park, determines a park point of the vehicle to be park entering according to the demand information, and plans a park entering path of the vehicle to be park entering according to the park point and the distribution situation of the existing vehicles in the park; the demand information comprises unloading, loading and parking;
if the type of the vehicle to be parked is different from the corresponding preset vehicle type in the cloud, the central control module judges that the license plate of the vehicle to be parked is replaced privately, and the central control module controls the alarm module to give an alarm to remind security personnel to confirm the situation;
the first preset condition is that the central control module preliminarily judges that the vehicle to be parked in the preset position has the parking qualification.
Please refer to fig. 3, which is a flowchart of a path planning process according to the present invention, including:
the central control module controls the monitoring module to acquire the demand information of the vehicle to be parked under a second preset condition and plans a park entrance path of the vehicle to be parked according to the information,
if the demand information of the vehicle to enter the park is unloading, which is acquired by the central control module, the central control module selects a corresponding unloading point from the park as a parking point for the vehicle to enter the park, controls the monitoring module to detect the quality of the vehicle to enter the park through a quality detector arranged at the preset position, and plans a park entering path of the vehicle to enter the park according to the quality;
if the demand information of the vehicle to be park is loading, which is acquired by the central control module, the central control module takes a loading point corresponding to the vehicle to be park as a parking point for the vehicle to be park and plans a park entering path of the vehicle to be park;
if the demand information of the vehicle to be park acquired by the central control module is parking, the central control module selects a corresponding parking point from the park according to the type of the vehicle to be park as a parking point for the vehicle to be park, and plans a park entering path of the vehicle to be park;
the second preset condition is that the central control module judges that the vehicle to be parked has the parking qualification.
Please refer to fig. 4, which is a flowchart illustrating a second candidate path filtering method according to the present invention, including:
the central control module generates a plurality of first paths to be selected for the vehicles to enter the park under a third preset condition and generates a screening standard for each first path to be selected according to the mass M of the vehicles to enter the park, the central control module selects the corresponding screening standard to screen a plurality of second paths to be selected from each first path to be selected, the central control module is provided with a first preset vehicle mass Ma, a second preset vehicle mass Mb, a first preset turning angle standard R1 and a second preset turning angle standard R2, wherein Ma is less than Mb, R1 is more than 45 degrees and R2 is more than 120 degrees,
if M is less than or equal to Ma, the central control module judges that the minimum turning angle standard aiming at the vehicle to be entered is not set and screens out a corresponding number of second paths to be selected according to ascending sequence of advancing time;
if Ma is larger than M and smaller than or equal to Mb, the central control module sets R2 to be the minimum turning angle standard of the vehicle to be driven, and screens out all the first paths to be selected with turning angles smaller than R2 to obtain a plurality of second paths to be selected;
if M is larger than Mb, the central control module sets R1 as the minimum turning angle standard aiming at the vehicle to be rounded, and screens out all the first paths to be selected with turning angles smaller than R1 to obtain a plurality of second paths to be selected;
the third preset condition is that the central control module judges that the demand information of the vehicle to be parked is unloading.
Specifically, the central control module obtains vehicle running information of existing vehicles in each road in the park through the information capture device under a fourth preset condition to estimate the number of vehicles in a meeting and corrects estimated traveling time of each second candidate path of the vehicles to be parked according to the estimated number of the vehicles in the meeting, i =1,2, 3.
The fourth preset condition is that the central control module selects a plurality of second paths to be selected from each first path to be selected by selecting corresponding screening standards.
Specifically, the central control module selects a travel time length correction coefficient alpha of the vehicle to enter the park according to the mass M of the vehicle to enter the park, which is acquired by the monitoring module, under a fourth preset condition so as to calculate the travel time after the second path to be selected is corrected, and selects the final travel path with the shortest travel time according to the corrected travel time in an ascending order,
if M is less than or equal to Ma, the central control module selects alpha =1.0 as a travel duration correction coefficient of the vehicle to be parked;
if Ma is larger than M and is smaller than or equal to Mb, the central control module selects alpha =1.2 as a travel time correction coefficient of the vehicle to be driven into the park;
if M is larger than Mb, the central control module selects alpha =1.4 as a travel duration correction coefficient of the vehicle to be parked;
the fourth preset condition is that the central control module selects a plurality of second paths to be selected from each first path to be selected by selecting corresponding screening standards.
Specifically, the central control module acquires the identity information of the driver in the vehicle to be parked through the monitoring module under a fifth preset condition,
if the identity information of the driver in the vehicle to be park is the input person, the central control module sends a release instruction, and stores the license plate number of the vehicle to be park and the vehicle type corresponding to the license plate number to the cloud end, and the central control module plans the park entering path of the vehicle to be park according to the demand information of the vehicle to be park when the storage of the information of the vehicle to be park is finished;
if the identity information of the driver in the vehicle to be parked is not recorded, the central control module gives an alarm;
and the fifth preset condition is that the central control module judges that the license plate number of the vehicle to enter the park is not recorded.
Specifically, the central control module plans the driving path of the vehicle through the vehicle type information acquired by the monitoring module under a sixth preset condition,
if the vehicle is a car, the central control module acquires the identity information of a driver of the vehicle through the monitoring module, a parking lot with a spare parking space which is closest to the office area of the person is used as a parking point for the vehicle to be parked, and the central control module judges that the shortest time path from the entrance of the park to the parking point is a final driving path according to the time spent in the driving process;
if the vehicle is a truck, guiding a driver of the vehicle to drive to a corresponding parking area according to the specific type of the vehicle;
the sixth preset condition is that the central control module judges that the demand information of the vehicle to enter the park is parking.
Specifically, the central control module manually determines the identity of the vehicle personnel by security personnel under a seventh preset condition so as to give an instruction of refusing to enter or permitting to pass,
if the security personnel send an instruction of permitting the vehicle to pass, planning a vehicle running path, and storing the license plate number and the vehicle type of the vehicle to be parked and the identity information of a driver in the vehicle to be parked into a cloud end by the central control module;
if the security personnel send an instruction of refusing to enter, the central control module refuses the vehicle to enter;
the seventh preset condition is that the central control module gives an alarm.
Example 1
In the embodiment, the vehicle to be parked is a vehicle which is not reserved and the identity information of a driver is recorded, the demand information of the vehicle to be parked is unloading and the quality of the vehicle to be parked is 4t;
the central control module stores the license plate number and the reserved time period of the vehicle entering the park on the reserved day to the cloud end;
the method comprises the steps that a monitoring module obtains a license plate number of a vehicle to be parked, the license plate number is retrieved according to the current time period through a cloud end to preliminarily judge whether the vehicle to be parked has parking qualification or not, the central control module judges that the detected license plate number is an unregistered license plate number, the central control module obtains identity information of a driver in the vehicle to be parked through the monitoring module, the central control module judges that the identity information of the driver in the vehicle to be parked is an registered person, the central control module stores, registers and transmits the license plate number of the vehicle to be parked and a vehicle type corresponding to the license plate number to the cloud end at the current time, the central control module obtains requirement information of the vehicle to be parked as unloading and controls the monitoring module to detect that the mass of the vehicle to be parked is 4T through a mass detector arranged at a preset position, wherein the first preset vehicle mass Ma =6T, the second preset vehicle mass Mb =100T, the first preset turning angle standard R1=50 ° and the second preset turning angle standard R =100 °, the central control module does not set the minimum turning angle standard for the vehicles to enter the park, screens out 5 second paths to be selected according to the ascending sequence of the traveling time, and selects the traveling time length correction coefficient of the vehicles to enter the park to be alpha =1.0, the central control module calculates the traveling time length of the ith path to be selected, T1=10.4, T2=12.7 and T3=14.5, wherein T0I =9min, T02=12min, T03=14min and the central control module selects the 1 st path to be selected as the traveling path of the vehicle to be taken into the park as the preferred embodiment of the invention, the obvious intelligent management and control method for the logistics vehicle can aim at the situation of the vehicles to be driven in the park caused by the vehicles arriving at the park in advance by the un-reserved vehicles, and the uncertainty of the central control module mainly depends on the traveling quality of the vehicles, the road conditions in the park and the conditions of the vehicles in the park at the time when the vehicles to enter the park in the planning of the park, therefore, even if the reserved vehicle does not arrive at the park according to the scheduled time, the driving condition of the vehicle in the park is not influenced.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can be within the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The utility model provides a method for intelligently managing and controlling vehicles in a logistics park, which is characterized by comprising the following steps:
s1, judging park entrance qualification, namely marking a vehicle as a vehicle to be park when a monitoring module at an entrance of a park judges that the vehicle exists in a preset position, identifying the license plate number of the vehicle to be park, detecting whether a matched license plate number exists in a cloud end or not by a central control module to preliminarily judge whether the vehicle to be park has the park entrance qualification or not, and controlling the monitoring module to collect contour information of the vehicle to be park when the vehicle to be park is preliminarily judged to have the park entrance qualification to determine the type of the vehicle to be park, wherein the central control module finishes secondary judgment whether the vehicle to be park has the park entrance qualification or not according to the fact that whether the license plate number and the type of the vehicle to be park are matched with corresponding preset information stored in the cloud end or not;
s2, planning a path for the first time, wherein the central control module determines a parking point of the vehicle to be parked after the vehicle to be parked enters the park according to the park entering demand information of the vehicle to be parked after judging that the vehicle to be parked has the park entering qualification for the second time, and plans a driving path of the vehicle to be parked after the vehicle to be parked enters the park for the first time according to the position information of the parking point so as to generate a plurality of first paths to be selected;
s3, planning a secondary path, wherein the central control module selects a corresponding screening standard according to the quality of the vehicles to be parked to screen a plurality of generated first paths to be selected so as to obtain a plurality of screened second paths to be selected, the central control module acquires vehicle operation information of existing vehicles in each road in the park through a plurality of information capturing devices arranged in the park so as to determine the estimated number of vehicles to be parked in each second path to be selected, and further screens each second path to be selected according to the estimated number of vehicles to be parked so as to obtain a final driving path for the vehicles to be parked; the vehicle operation information includes position information, an operation direction, and an operation speed of each vehicle in the campus.
2. The intelligent management and control method for vehicles in a logistics park according to claim 1, wherein in the step S1, the central control module controls the monitoring module to obtain the license plate number of the vehicle to be parked when the vehicle to be parked exists in the preset position, and searches the license plate number through the cloud end to preliminarily determine whether the vehicle to be parked has the park-entering qualification,
if the central control module detects that the license plate number is the registered license plate number, the central control module preliminarily judges that the vehicle to enter the park has the park entrance qualification, the central control module controls the monitoring module to collect the outline information of the vehicle to enter the park so as to determine the type of the vehicle to enter the park, and further judges whether the vehicle to enter the park has the park entrance qualification or not according to whether the type of the vehicle to enter the park is the same as the preset vehicle type which is prestored in the cloud and is matched with the license plate number; the types of vehicles include cars and vans;
if the central control module detects that the license plate number is not recorded, the central control module acquires the identity information of the driver in the vehicle to be parked through the monitoring module, and matches the identity information with the identity information of the personnel prestored in the cloud end so as to judge whether the vehicle to be parked has the parking qualification again.
3. The intelligent logistics park vehicle control method according to claim 2, wherein the central control module determines the type of the vehicle to enter the park under a first preset condition, and further determines whether the vehicle to enter the park qualifies for entering the park according to whether the type of the vehicle to enter the park is the same as a preset vehicle type which is prestored in the cloud and is matched with the license plate number,
if the type of the vehicle to be park is the same as the type of the corresponding preset vehicle in the cloud, the central control module judges that the vehicle to be park has a park entrance qualification, controls the monitoring module to obtain park entrance requirement information of the vehicle to be park, determines a parking point of the vehicle to be park after entering the park according to the requirement information, and plans a park entrance path of the vehicle to be park according to the parking point and the distribution situation of the existing vehicles in the park; the demand information comprises unloading, loading and parking;
if the type of the vehicle to be parked is different from the corresponding preset vehicle type in the cloud, the central control module judges that the license plate of the vehicle to be parked is replaced privately, and the central control module controls the alarm module to give an alarm to remind security personnel to confirm the condition;
the first preset condition is that the central control module preliminarily judges that the vehicle to be parked in the preset position has the parking qualification.
4. The intelligent management and control method for vehicles in logistics parks as defined in claim 3, wherein the central control module controls the monitoring module to obtain the demand information of the vehicle to enter the park and plans the park entering path of the vehicle to enter the park according to the information under a second preset condition,
if the demand information of the vehicle to enter the park is unloading, which is acquired by the central control module, the central control module selects a corresponding unloading point from the park as a parking point for the vehicle to enter the park, controls the monitoring module to detect the quality of the vehicle to enter the park through a quality detector arranged at the preset position, and plans a park entering path of the vehicle to enter the park according to the quality;
if the demand information of the vehicle to be park is loading, which is acquired by the central control module, the central control module takes a loading point corresponding to the vehicle to be park as a parking point for the vehicle to be park and plans a park entering path of the vehicle to be park;
if the demand information of the vehicle to be parked acquired by the central control module is parking, the central control module selects a corresponding parking point from the park according to the type of the vehicle to be parked as a parking point for the vehicle to be parked, and plans a parking path of the vehicle to be parked;
the second preset condition is that the central control module judges that the vehicle to be parked has the parking qualification.
5. The intelligent management and control method for the vehicles in the logistics park according to claim 4, wherein the central control module generates a plurality of first paths to be selected for the vehicles to enter the park under a third preset condition and determines a screening mode of the paths to be selected according to the quality of the vehicles to enter the park so as to obtain a plurality of second paths to be selected;
the first screening mode is that the central control module judges that the minimum turning angle standard aiming at the vehicles to be entered into the park is not set, and screens out a corresponding number of second paths to be selected according to ascending sequence of advancing time; the first screening mode meets the condition that the mass of the vehicle to be parked is less than or equal to the first preset vehicle mass;
the central control module sets a second preset turning angle standard as a minimum turning angle standard for the vehicle to be driven, and screens out all first to-be-selected routes with turning angles smaller than the second preset turning angle standard to obtain a plurality of second to-be-selected routes; the second screening mode meets the condition that the mass of the vehicle to be driven is less than or equal to the mass of a second preset vehicle and greater than the mass of the first preset vehicle;
the third screening mode is that the central control module sets a first preset turning angle standard as a minimum turning angle standard aiming at the vehicle to enter the park, and screens out all the first paths to be selected with turning angles smaller than the first preset turning angle standard to obtain a plurality of second paths to be selected; the third screening mode meets the condition that the mass of the vehicle to be entered into the park is larger than the mass of the second preset vehicle;
the third preset condition is that the central control module judges that the required information of the vehicle to enter the park is unloading.
6. The method according to claim 5, wherein the central control module obtains vehicle running information of existing vehicles in each road in the park through the information capture device under a fourth preset condition to estimate the number of vehicles meeting and corrects estimated traveling time of each second candidate path of vehicles to be parked according to the estimated number of vehicles meeting, i =1,2,3,. Once, n is set for the ith second candidate path, wherein n is the total number of the second candidate paths of the vehicles to be parked, the central control module records estimated traveling time of the vehicles to be parked in the second candidate path as Ti, sets Ti = α (x 0i + mxz), wherein α is a traveling time correction coefficient for the vehicles to be parked, T0i is an estimated traveling time of the vehicles to be parked in the second candidate path without vehicles when the vehicles to be parked are selected, and m is an average estimated traveling time of the vehicles to be parked in the second candidate path when the vehicles to be parked are selected;
the fourth preset condition is that the central control module selects a plurality of second paths to be selected from each first path to be selected by selecting corresponding screening standards.
7. The intelligent management and control method for vehicles in a logistics park as claimed in claim 6, wherein the central control module selects a travel time length correction coefficient α of the vehicle to enter the park according to a screening manner under the fourth preset condition to calculate the travel time after the second path to be selected is corrected, and screens out the final travel path with the shortest travel time according to the corrected travel time in an ascending order,
the central control module selects alpha =1.0 as a travel duration correction coefficient of the vehicle to be parked in the first screening mode;
the central control module selects alpha =1.2 as a travel duration correction coefficient of the vehicle to be parked in the second screening mode;
and the central control module selects alpha =1.4 as a travel time length correction coefficient of the vehicle to be driven in the third screening mode.
8. The intelligent management and control method for vehicles in logistics parks as defined in claim 6, wherein the central control module obtains identity information of drivers of vehicles to enter the park through the monitoring module under a fifth preset condition,
if the identity information of the driver in the vehicle to be park is the input person, the central control module sends a release instruction, and stores the license plate number of the vehicle to be park and the vehicle type corresponding to the license plate number to the cloud end, and the central control module plans the park entering path of the vehicle to be park according to the demand information of the vehicle to be park when the storage of the information of the vehicle to be park is finished;
if the identity information of the driver in the vehicle to be parked is not recorded, the central control module gives an alarm;
and the fifth preset condition is that the central control module judges that the license plate number of the vehicle to enter the park is not recorded.
9. The intelligent management and control method for vehicles in logistics park according to claim 7, wherein the central control module plans its driving path according to the vehicle type information acquired by the monitoring module under a sixth preset condition,
if the vehicle is a car, the central control module acquires the identity information of a driver of the vehicle through the monitoring module, and takes a parking lot with a spare parking space which is closest to the office area of the driver as a parking spot for the vehicle to be parked, and the central control module judges that the shortest time-consuming path from the entrance of the park to the parking spot is a final driving path according to the traveling time-consuming;
if the vehicle is a truck, guiding a driver of the vehicle to drive to a corresponding parking area according to the specific type of the vehicle;
the sixth preset condition is that the central control module judges that the demand information of the vehicle to enter the park is parking.
10. The intelligent management and control method for vehicles in logistics parks according to claim 9, wherein the central control module manually determines the identity of the vehicle personnel by security personnel under a seventh preset condition so as to give an instruction of refusing to enter or allowing to pass,
if the security personnel send an instruction of permitting the vehicle to pass, planning a vehicle running path, and storing the license plate number and the vehicle type of the vehicle to be parked and the identity information of a driver in the vehicle to be parked into a cloud end by the central control module;
if the security personnel send an instruction of refusing to enter, the central control module refuses the vehicle to enter;
the seventh preset condition is that the central control module gives an alarm.
CN202310044621.9A 2023-01-30 2023-01-30 Intelligent management and control method for vehicles in logistics park Pending CN115798098A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310044621.9A CN115798098A (en) 2023-01-30 2023-01-30 Intelligent management and control method for vehicles in logistics park

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310044621.9A CN115798098A (en) 2023-01-30 2023-01-30 Intelligent management and control method for vehicles in logistics park

Publications (1)

Publication Number Publication Date
CN115798098A true CN115798098A (en) 2023-03-14

Family

ID=85429156

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310044621.9A Pending CN115798098A (en) 2023-01-30 2023-01-30 Intelligent management and control method for vehicles in logistics park

Country Status (1)

Country Link
CN (1) CN115798098A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116721555A (en) * 2023-08-10 2023-09-08 中海油能源物流有限公司 Commodity transportation vehicle guiding system based on traffic management logistics park

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017222309A (en) * 2016-06-17 2017-12-21 日産自動車株式会社 Parking support method and apparatus
CN108062650A (en) * 2017-12-29 2018-05-22 北京悦畅科技有限公司 Vehicles dispatching system method, management and running platform and dispatching management information system
CN109947098A (en) * 2019-03-06 2019-06-28 天津理工大学 A kind of distance priority optimal route selection method based on machine learning strategy
CN110910672A (en) * 2019-11-29 2020-03-24 广汽丰田汽车有限公司 Truck cargo collection and unloading method, system and computer readable storage medium
CN111160664A (en) * 2019-11-14 2020-05-15 河南全程物流有限公司 Logistics management method and system
CN113112861A (en) * 2021-04-15 2021-07-13 武汉北斗星通科技有限公司 Intelligent park navigation operation and maintenance management system
KR20210089602A (en) * 2020-06-29 2021-07-16 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. Method and device for controlling vehicle, and vehicle
JP2021160658A (en) * 2020-04-02 2021-10-11 マツダ株式会社 Vehicle control device
CN113570188A (en) * 2021-06-17 2021-10-29 杭州绿城理想生活产城科技有限公司 User evaluation system based on integral for smart park
CN114882732A (en) * 2022-05-18 2022-08-09 合肥观佳智能科技有限公司 Intelligent parking management system of smart city
CN115223389A (en) * 2022-07-15 2022-10-21 西南交通大学 Parking guide path planning method based on dynamic road section cost

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017222309A (en) * 2016-06-17 2017-12-21 日産自動車株式会社 Parking support method and apparatus
CN108062650A (en) * 2017-12-29 2018-05-22 北京悦畅科技有限公司 Vehicles dispatching system method, management and running platform and dispatching management information system
CN109947098A (en) * 2019-03-06 2019-06-28 天津理工大学 A kind of distance priority optimal route selection method based on machine learning strategy
CN111160664A (en) * 2019-11-14 2020-05-15 河南全程物流有限公司 Logistics management method and system
CN110910672A (en) * 2019-11-29 2020-03-24 广汽丰田汽车有限公司 Truck cargo collection and unloading method, system and computer readable storage medium
JP2021160658A (en) * 2020-04-02 2021-10-11 マツダ株式会社 Vehicle control device
KR20210089602A (en) * 2020-06-29 2021-07-16 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. Method and device for controlling vehicle, and vehicle
CN113112861A (en) * 2021-04-15 2021-07-13 武汉北斗星通科技有限公司 Intelligent park navigation operation and maintenance management system
CN113570188A (en) * 2021-06-17 2021-10-29 杭州绿城理想生活产城科技有限公司 User evaluation system based on integral for smart park
CN114882732A (en) * 2022-05-18 2022-08-09 合肥观佳智能科技有限公司 Intelligent parking management system of smart city
CN115223389A (en) * 2022-07-15 2022-10-21 西南交通大学 Parking guide path planning method based on dynamic road section cost

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116721555A (en) * 2023-08-10 2023-09-08 中海油能源物流有限公司 Commodity transportation vehicle guiding system based on traffic management logistics park
CN116721555B (en) * 2023-08-10 2023-11-17 中海油能源物流有限公司 Commodity transportation vehicle guiding system based on traffic management logistics park

Similar Documents

Publication Publication Date Title
US11587370B2 (en) Distributed maintenance system and methods for connected fleet
US20200020227A1 (en) Connected automated vehicle highway systems and methods related to transit vehicles and systems
CN107972668B (en) Automatic tracking driving method and device for vehicle and automobile
CN102810260B (en) System and method for parking place guidance management in park
US9177221B2 (en) Parking lot
CN108665726A (en) A kind of parking management method, server and berth lock
CN105551298A (en) Intelligent parking communication system and parking appointment method
CN109754326A (en) A kind of fender-bender assists the method and system of quick setting loss
CN115798098A (en) Intelligent management and control method for vehicles in logistics park
CN110969892A (en) Parking lot management method and system
CN109637152B (en) Planning system and method for driving route of old cell based on scheduling concept
JP5227409B2 (en) Communication control method
CN112562408A (en) Global path planning method, device and system based on vehicle-road cooperation
CN112572324A (en) Vehicle with a steering wheel
CN110853374B (en) Shared automobile scheduling method and system based on unmanned technology
US11847588B2 (en) Method and apparatus for managing a moving object for fleet system
CN111815999B (en) Parking space management method and related device
JP2000172747A (en) Bicycle rental system
CN110796403A (en) Liquefied gas distribution vehicle monitoring system and monitoring method
US20220058533A1 (en) Method, apparatus, and system for allocating a moving object for a fleet system
JP2008158932A (en) Physical distribution vehicle parking management system
CN113593247A (en) Parking management system
Brenner et al. Requirements of Automated Vehicles and Depots for the Initial Step of Automated Public Transport
CN111091070B (en) Thermal imaging-based truck loading and unloading time monitoring method and system
WO2008093925A1 (en) Hit-and-run suspect vehicle tracking method and apparatus

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20230314