CN110969742A - Automatic checking and releasing method for road freight vehicles - Google Patents
Automatic checking and releasing method for road freight vehicles Download PDFInfo
- Publication number
- CN110969742A CN110969742A CN201911163103.9A CN201911163103A CN110969742A CN 110969742 A CN110969742 A CN 110969742A CN 201911163103 A CN201911163103 A CN 201911163103A CN 110969742 A CN110969742 A CN 110969742A
- Authority
- CN
- China
- Prior art keywords
- information
- truck
- driver
- cargo
- license plate
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004891 communication Methods 0.000 claims description 46
- 230000008569 process Effects 0.000 claims description 14
- 230000007246 mechanism Effects 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 13
- 230000001815 facial effect Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 238000007689 inspection Methods 0.000 abstract description 5
- 230000008676 import Effects 0.000 abstract description 3
- 238000012546 transfer Methods 0.000 abstract description 3
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 230000006698 induction Effects 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000003213 activating effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- GOLXNESZZPUPJE-UHFFFAOYSA-N spiromesifen Chemical compound CC1=CC(C)=CC(C)=C1C(C(O1)=O)=C(OC(=O)CC(C)(C)C)C11CCCC1 GOLXNESZZPUPJE-UHFFFAOYSA-N 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Economics (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides an automatic checking and releasing method for road freight vehicles, which automatically acquires information of a clearance truck and information of a driver; the collected truck information and the driver information are combined with the information collection time, the information collection place and other factors in the customs logistics monitoring system, and the automatic checking with the declaration information of goods import and export or transfer is realized through the database system, so that the judgment and execution of whether checking is carried out or not can be carried out in real time; the method effectively accelerates the releasing speed of normal truck customs clearance, reduces manual intervention, improves the working environment of customs clearance inspection, and improves the customs clearance efficiency.
Description
Technical Field
The invention belongs to the technical field of automatic checking and releasing control of vehicles, and particularly relates to an automatic checking and releasing method for road freight vehicles.
Background
16 months 4 and 4 months in 2018, a customs administration release No. 30 bulletin about the matters related to starting to implement the TIR convention trial in 2018, and the TIR convention implemented in China from 5 months 1 days in 2018 is clear; the TIR convention is used as a cross-border cargo transportation clearance system, so that the clearance time can be effectively reduced, the transportation cost can be saved, and the convenience level can be improved; after the implementation of the 'TIR convention', how to distinguish TIR transportation vehicles from non-TIR transportation vehicles, how to improve the customs clearance efficiency of the TIR transportation vehicles and give full play to the advantages of the international convention, which is a practical problem that needs to be solved urgently in the current customs inspection of vehicles.
Based on the technical problems existing in the customs clearance vehicle inspection, no relevant solution is provided; there is therefore a pressing need to find effective solutions to the above problems.
Disclosure of Invention
The invention aims to provide an automatic checking and releasing method for a road freight vehicle aiming at the defects in the prior art and aims to solve the problem of low clearance detection efficiency of the conventional customs freight vehicle.
The invention also provides an automatic checking and releasing method for the road freight vehicles, which comprises the following steps:
s1: recording cargo information, truck information, driver face image information, TIR (total internal reflection) approval information and driver identity information into a cloud platform; the driver identity information comprises a name, an identity card and driver license information; the truck information comprises a truck model, a truck type, a license plate number and a VIN; the cargo information comprises cargo starting point information, cargo end point information, category information and weight information;
s2: the face recognition device starts to be started to acquire face image information and driver identity information of a driver, and the face image information and the driver identity information are transmitted to the cloud platform to be stored;
the license plate recognition device starts to acquire license plate information, and transmits the license plate information to the central control management device for storage through the communication module;
the identifier starts to be started to acquire the cargo information of the truck, and the cargo information is transmitted to the central control management device to be stored;
s3: the central control management device calls the driver face image information and the driver identity information of the license plate number through the cloud platform, and checks the driver identity information, the truck information and the cargo information;
s4: when the driver identity information, the truck information and the cargo information are completely matched; the central control management device controls the entrance guard to open so as to release the truck; when one of the driver identity information, the truck information and the cargo information is not matched, the entrance guard is not opened.
By adopting the automatic checking and releasing method for the road freight vehicles, the information of the customs clearance trucks and the information of drivers can be automatically acquired; the collected truck information and the driver information are combined with the information collection time, the information collection place and other factors in the customs logistics monitoring system, and the automatic checking with the declaration information of goods import and export or transfer is realized through the database system, so that the judgment and execution of whether checking is carried out or not can be carried out in real time; the customs multi-information fusion automatic customs clearance control system and method effectively accelerate the clearance speed of normal trucks, reduce manual intervention, improve the working environment of clearance inspection and improve the clearance efficiency of customs.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The invention will be further explained with reference to the drawings, in which:
FIG. 1 is a flow chart of the operation of the automatic checking and releasing method of the road freight vehicles according to the invention.
FIG. 2 is a schematic diagram of the operation of the control system of the automatic checking and releasing method for the road freight vehicles according to the present invention;
FIG. 3 is a schematic diagram of a control system of the automatic checking and releasing method for road freight vehicles according to the present invention.
In the figure: 1. entrance guard; 101. an access lever mechanism; 102. an access control drive mechanism; 103. a communication module; 2. a truck; 3. a face recognition device; 301. a camera; 302. a hardware processor; 303. a face recognition interface; 304. a communication module; 4. a TIR electronic tag; 401. an information input unit; 402. an information storage unit; 403. an information transmitting unit; (ii) a 5. An identifier; 501. an antenna; 502. a decoder; 503. a communication module; 6. a license plate recognition system; 601. a camera; 602. an image processing unit; 603. a communication module; 7. a central control management system; 701. a central control management operation interface; 702. a reservoir; 703. a communication module; 8. a cloud platform; 801. a cloud management system; 802. a server; 803. and a communication module.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1 to 3, the present invention provides an automatic checking and releasing method for road freight vehicles, which is specifically implemented by a multi-information fusion automatic checking and releasing control system, and the system specifically includes an entrance guard 1, a face recognition device 3, a TIR electronic tag 4, a recognizer 5, a license plate recognition device 6, a central control management device 7, and a cloud platform 8; the access control system comprises an access control 1, a central control management device 7 and a central control management device, wherein the access control 1 is in communication connection with the central control management device 7 and is used for limiting the passing of a truck 2; the face recognition device 3 is in communication connection with the cloud platform 8 and is used for collecting face image information of a driver in real time; the identifier 5 is connected with the TIR electronic tag 4 in a communication way and is used for reading the data of the TIR electronic tag 4; the TIR electronic tag 4 is arranged outside a cab of the truck 2 and used for recording and sending information of goods conveyed by the truck 2, TIR batch checking information and other related information; the license plate recognition device 6 is in communication connection with the central control management device 7 and is used for recognizing the license plate number of the truck 2; the central control management device 7 is a customs central control management device; the central control management device 7 is also in communication connection with the cloud platform 8 and is used for storing, recording and calling data and managing the passing of the truck 2; the cloud platform 8 is used for storing data; by adopting the scheme, the customs truck detection release efficiency can be effectively improved.
Preferably, with reference to the above schemes, as shown in fig. 1 to 3, in this embodiment, the door 1 includes a door lever mechanism 101, a door driving mechanism 102, and a communication module 103; the access control driving mechanism 102 is in transmission connection with the access control lever mechanism 101 and is used for driving the access control lever mechanism 101 to open or close so as to release or prohibit the truck 2; the entrance guard driving mechanism 102 is in communication connection with the central control management device 7 through the communication module 103, and is used for receiving a control instruction of the central control management device 7 so as to open or close the entrance guard lever mechanism 101.
Preferably, with reference to the above schemes, as shown in fig. 1 to 3, in this embodiment, the face recognition device 3 includes a camera 301, a hardware processor 302, a face recognition interface 303, and a communication module 304; the face recognition device 3 is arranged in a cab of the truck 2 and is used for collecting face image information of a driver in real time; the face recognition device 3 carries out face database modeling through a hardware processor 302 thereof and stores face image information on the hardware processor 302; meanwhile, the hardware processor 302 transmits the facial image information to the cloud platform 8 for storage through the communication module 304.
Preferably, in combination with the above solutions, as shown in fig. 1 to fig. 3, in this embodiment, the TIR electronic tag 4 includes an information input unit 401, an information storage unit 402, and an information sending unit 403; the identifier 5 comprises an antenna 501, a decoder 502 and a communication module 503; the goods information is stored on the information storage unit 402 through the information input unit 401 in a coding mode; meanwhile, the cargo information is stored on the cloud platform 8; the cargo information specifically comprises cargo starting point information, end point information, category information, weight information and the like; cargo information is stored on the information storage unit 402 of the electronic tag 4 through the information input unit 401 in a coded manner, meanwhile, the cargo information is also stored on the server 802 of the cloud platform 8, and the central control management system 7 can call cargo information data from the cloud platform 8.
Preferably, in combination with the above solutions, as shown in fig. 1 to 3, in this embodiment, the license plate recognition device 6 includes a camera 601, an image processing unit 602, and a communication module 603; the camera 601 is used for collecting the license plate number of the truck 2; the image processing unit 602 is configured to identify the license plate number of the truck 2 and transmit the license plate number to the central control management device 7 through the communication module 603; the truck information includes information such as a truck model, a license plate Number, a VIN (Vehicle Identification Number), and the like, and the truck information is stored in the server 802 of the cloud platform 8, and the central control management system 7 can retrieve the truck information data from the cloud platform 8.
Preferably, in combination with the above solutions, as shown in fig. 1 to 3, in this embodiment, the central management device 7 includes a central controller, a central management operation interface 701, a storage 702, and a communication module 703; the storage 702 is used for storing license plate information, cargo information, driver face image information, driver identity information, truck information, passing places and passing time; the central control management operation interface 701 is used for operating a control system; the central controller is used for processing data and controlling the entrance guard driving operation.
Preferably, in combination with the above solutions, as shown in fig. 1 to fig. 3, in this embodiment, the cloud platform 8 includes a cloud management system 801, a server 802, and a communication module 803; the cloud management system 801 is customs pass; the server 802 is used for storing cargo information, truck information, driver face image information, TIR batch checking information and driver identity information; the driver identity information comprises a name, an identity card and driver license information; the truck information comprises a truck model, a truck type, a license plate number and a VIN; the cargo information comprises cargo starting point information, cargo end point information, category information and weight information; the cloud management system 801 of the cloud platform 8 integrates and matches the driver identity information, the driver face image information, the truck information and the cargo information, so that a corresponding relationship is formed between the information, that is, which vehicle the driver corresponds to and which cargo the vehicle corresponds to.
Correspondingly, as shown in fig. 3, the invention also provides an automatic checking and releasing method for the road freight vehicle; further comprising the steps of:
s1: recording cargo information, truck information, driver face image information, TIR (total internal reflection) approval information and driver identity information into a cloud platform; the driver identity information comprises a name, an identity card and driver license information; the truck information includes a truck model, a license plate Number and a VIN (Vehicle Identification Number); the cargo information comprises cargo starting point information, cargo end point information, category information and weight information;
s2: the face recognition device starts to be started to acquire face image information and driver identity information of a driver, and the face image information and the driver identity information are transmitted to the cloud platform to be stored;
the license plate recognition device starts to acquire license plate information, and transmits the license plate information to the central control management device for storage through the communication module;
the identifier starts to be started to acquire the cargo information of the truck, and the cargo information is transmitted to the central control management device to be stored;
s3: the central control management device calls the driver face image information and the driver identity information of the license plate number through the cloud platform, and checks the driver identity information, the truck information and the cargo information;
s4: when the driver identity information, the truck information and the cargo information are completely matched; the central control management device controls the entrance guard to open so as to release the truck; when one of the driver identity information, the truck information and the cargo information is not matched, the entrance guard is not opened.
Preferably, in combination with the above scheme, in this embodiment, the step S2 specifically includes:
s21: when the truck is started, the face recognition system 3 is started; the face recognition device starts to work at certain time intervals (the time intervals are set artificially), and keeps working for certain time (the time is set artificially); specifically, when the face recognition device starts to be started, a camera of the face recognition device acquires a face image of a driver and identity information of the driver, face database modeling is carried out through a hardware processor of the face recognition device, and the face image information is stored on the hardware processor; meanwhile, the hardware processor transmits the facial image information and the driver identity information to the cloud platform through the communication module for storage; specifically, the camera 301 will shoot the driver, and the hardware processor 302 will perform image processing on the shot face image, so as to identify the face information of the driver, and on the other hand, determine whether the driver is tired.
S22: when the license plate recognition device starts to be started, a camera of the license plate recognition device starts to capture a license plate image of the truck, the truck information is recognized through the image processing unit, and the truck information is transmitted to the central control management device for storage through the communication module; if the truck is not identified, the shooting is continued, if the truck is identified, the image processing unit 602 identifies the license plate through an image processing algorithm, and the identified license plate information is sent to the communication module 703 of the customs central control management system 7 through the communication module 603 and is stored in the storage 702;
s23: when the identifier starts, an antenna of the identifier receives a radio frequency signal sent by the TIR electronic tag information sending unit, cargo information of the truck is obtained through the decoder, and the cargo information is transmitted to the central control management device for storage through the communication module; specifically, if the identifier does not receive the rf signal, the identifier will continue to operate, and if the identifier receives the rf signal, the information will be decoded by the decoder 502 to obtain the cargo information of the truck, and the decoded result will be sent to the communication module 703 of the customs central control management system 7 through the communication module 503 and stored in the storage 702.
Preferably, in combination with the above scheme, in this embodiment, in step S3, the central control management device sends the license plate information to the communication module of the cloud platform through the communication module, so as to call the driver face image information and the driver identity information corresponding to the license plate information, that is, the driver face image information and the identity information identified by the face identification system in step 2 can be called; the communication module 803 of the cloud platform 8 feeds back the information to the communication module 703 of the central control management system 7; the central control management system 7 performs matching analysis on the identity information of the driver, the license plate information and the cargo information; the matching mode is the information corresponding relation of the three information in the step 1, if one information is inconsistent, if a driver is changed, if a truck is changed, if an electronic tag is changed, the step 5 is carried out, and if the information of the three information is completely matched, the next step is carried out.
Preferably, with reference to the foregoing scheme, in this embodiment, in step S4, the central control management device sends the permission granting information to the communication module of the door control, and the door control controls the door control lever mechanism to open through the door control driving mechanism, so as to release the truck; further, when one of the driver identity information, the truck information and the cargo information is not matched with the other information; the customs staff processes the unmatched events and inputs the processing result into the customs central control management system 7 through the customs central control management operation interface 701; after the event is processed, the customs officer stores the face information of the driver, the identity information of the driver, the information of the truck, the information of goods, the occurrence place of the event, the occurrence event of the event, the reason of mismatching of the information and the information of the event processing result in a storage of the central control management system and a server of the cloud platform.
The automatic checking and releasing control system of the road freight vehicle is a subsystem in a customhouse logistics monitoring system; the method has the function of automatically acquiring the information of the customs truck and the information of a driver; the collected truck information and the driver information are combined with the information collection time, the information collection place and other factors in the customs logistics monitoring system, and the automatic checking with the declaration information of goods import and export or transfer is realized through the database system, so that the judgment and execution of whether checking is carried out or not can be carried out in real time; the automatic customs clearance control system effectively accelerates the clearance speed of normal trucks, reduces manual intervention, improves the working environment of clearance inspection and improves the clearance efficiency of customs; when the truck enters the channel and is detected by the inlet induction coil, activating a reader-writer, reading the TIR electronic tag on the truck body by the reader-writer within a distance of 7-10 meters and 0.5 second, and carrying out validity check and judgment on the identity of the truck; the read-write equipment outside the vehicle generally works with a truck information management system in a networking way, and information can be exchanged in real time through the truck information management system; if necessary, the system can send out an instruction to forbid the truck from passing; the read-write equipment outside the truck can also work off-line without networking, reads the information on the TIR electronic tag of the truck, compares the information by utilizing a TIR check batch vehicle type database stored in the truck and judges whether the truck is in the check batch validity period or not; when leaving the monitoring area, the exit induction coil detects the freight car, the content on the display (optional) of the electronic freight car is cleared, the automatic access control lever (optional) is closed, and the data of the freight car entering and exiting is submitted to the information management system.
By adopting the scheme, the train provided with the TIR electronic tag can be accurately and timely identified by the identification system by uniformly managing, registering and issuing the TIR electronic tag to and from the freight train and arranging the RFID identification device at the key access monitoring point, so that the requirements of identification of the state of the freight train and data acquisition are met; the system adopts information technologies such as wireless communication and the like to submit the collected truck information to a management system to complete functions of confirming, inquiring, counting, scheduling and the like of the identity of the truck; meanwhile, the TIR check batch information of the freight car is checked through a wireless communication technology, the TIR transport freight car information is counted and monitored in real time, and the traffic capacity and the customs clearance efficiency of the customs freight car are effectively improved.
The "communication module" described above is comprised of a server, cloud, internet, satellite, Wi-Fi network, cellular network, and any other suitable communication means. Some of the devices, systems, embodiments, and processes use computers. Each of the routines, processes, methods and algorithms described in the preceding sections may be embodied in, and executed in whole or in part automatically by, one or more computers, computer processors or machine-executable code modules configured to execute computer instructions. The code modules may be stored on any type of non-transitory computer readable storage medium or tangible computer storage device, such as a hard disk drive, solid state memory, flash memory, optical disk, and/or the like. The described processes and algorithms may be implemented in part or in whole in application specific circuitry. The results of the disclosed processes and process steps may be stored persistently or otherwise in any type of non-transitory computer memory, such as volatile or non-volatile memory.
The central management operation interface 701 used in the present disclosure may implement operations by using APPs, and the term "APP" refers to a local APP and a mobile cloud APP (and a Web APP). Local applications are installed directly on the remote computing devices, whereby developers create separate application versions for each type of remote computing device (e.g., iphone devices and android devices). The local APP may be stored on the remote computing device off-box, or the local APP may be downloaded from a public or private APP store and installed on the remote computing device. The self-propelled vehicle data associated with the local application may be stored on a remote computing device and/or may be stored remotely and accessed by the local application. Internet connectivity may be used by some instances of applications. Other instances of APP may not use an internet connection. In some embodiments, the APP may run without an internet connection.
Mobile cloud applications are very similar to web-based applications. The main similarity is that both the mobile cloud application and the Web application run on servers external to the remote computing device, and may need to be displayed using a browser on the remote computing device and then use the APP User Interface (UI). The mobile cloud application may be a native application that is rebuilt to run in the mobile cloud; a customized application developed for the mobile device; or a third party application downloaded to the cloud from an external source. Some organizations provide local and mobile cloud versions of their applications. In short, the term "APP" refers to both local APPs and mobile cloud APPs.
None of the steps described herein are required or essential. Any of the steps may be adjusted or modified. Other or additional steps may be used. Any portion of any step, process, structure and/or apparatus disclosed or illustrated in one embodiment, flowchart or example herein may be combined with or used in place of any other portion of any step, process, structure and/or apparatus disclosed or illustrated in a different embodiment, flowchart or example. The embodiments and examples provided herein are not intended to be discrete and separate from each other.
Some of the devices, systems, embodiments, and processes use computers. Each of the routines, processes, methods and algorithms described in the sections above may be embodied in, and executed in whole or in part automatically by, one or more computers, computer processors or machine-executable code modules configured to execute computer instructions. The code modules may be stored on any type of non-transitory computer readable storage medium or tangible computer storage device, such as a hard disk drive, solid state memory, flash memory, optical disk, and/or the like. The described processes and algorithms may be implemented in part or in whole in application specific circuitry. The results of the disclosed processes and process steps may be stored persistently or otherwise in any type of non-transitory computer memory, such as volatile or non-volatile memory.
The various features and processes described above may be used independently of one another or may be combined in various ways. All possible combinations and sub-combinations are within the scope of the present disclosure. Furthermore, certain methods, events, states or processing blocks may be omitted from some implementations. The methods, steps, and processes described herein are also not limited to any particular sequence, and the blocks, steps, or states associated therewith may be performed in other suitable sequences. For example, described tasks or events may be performed in an order different than that specifically disclosed. Multiple steps may be combined in a single block or state. Example tasks or events may be performed in series, in parallel, or in some other manner. Tasks or events may be added to or removed from the disclosed exemplary embodiments. The exemplary systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged within the disclosed exemplary embodiments as compared to the disclosed exemplary embodiments.
Conditional language used herein, unless otherwise specifically stated or otherwise understood in the context of usage, is generally intended to convey that certain embodiments include, but not others include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without author input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment. The terms "comprising," "including," "having," and the like, are synonymous and include the use of open-ended terms, and do not exclude additional elements, features, acts, operations, and the like. Also, the term "or" is used in its inclusive sense (and not in its exclusive sense) such that, when used in connection with a list of elements, for example, the term "or" refers to one, some, or all of the elements in the list. Conjunctive language, such as the phrases "at least one of X", Y, and Z, "unless otherwise indicated, is understood in the context of what is commonly used to convey articles, and terms, etc., may be X, Y, or Z. Thus, such connection language generally does not imply that certain embodiments require at least one of X, Y, and Z to be present.
The term "and/or" means "and" applies to certain embodiments, "or" applies to certain embodiments. Thus, a, B and/or C may be replaced by a, B and C written in one sentence and a, B and C written in another sentence. A, B, and/or C means that some embodiments may include a and B, some embodiments may include a and C, some embodiments may include B and C, some embodiments may include only a, some embodiments may include only B, some embodiments may include only C, and some embodiments may include a, B, and C. The term "and/or" is used to avoid unnecessary redundancy.
While certain exemplary embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the invention disclosed herein. Thus, nothing in the above description is intended to imply that any particular feature, step, module, or block is required or essential. Indeed, the novel methods and systems described herein may be embodied in a variety of other forms; furthermore, various omissions, substitutions and changes in the form of the methods and systems described herein may be made without departing from the spirit of the inventions disclosed herein.
Claims (7)
1. An automatic checking and releasing method for road freight vehicles, which is characterized by comprising the following steps:
s1: recording cargo information, truck information, driver face image information, TIR (total internal reflection) approval information and driver identity information into a cloud platform;
s2: starting a face recognition device to acquire face image information and identity information of a driver, and transmitting the face image information and the identity information of the driver to the cloud platform for storage;
the license plate recognition device starts to acquire license plate information, and transmits the license plate information to the central control management device for storage through the communication module;
the identifier starts to be started to acquire the cargo information of the truck, and the cargo information is transmitted to the central control management device to be stored;
s3: the central control management device calls the driver face image information and the driver identity information of the license plate number through a cloud platform, and checks the driver identity information, the truck information and the cargo information;
s4: when the driver identity information, the truck information and the cargo information are completely matched; the central control management device controls the entrance guard to open so as to release the truck; and when one of the driver identity information, the truck information and the cargo information is not matched, the entrance guard is not opened.
2. The method for automatically checking and releasing road cargo vehicle according to claim 1, wherein the step of S1 is executed
The driver identity information comprises a name, an identity card and driver license information.
3. The method for automatically checking and releasing road cargo vehicle according to claim 2, wherein the step S1 is executed
The truck information includes the truck model, the vehicle type, the license plate number and the VIN.
4. The method for automatically checking and releasing road cargo vehicle according to claim 3, wherein the step S1 is executed
The cargo information includes cargo start point information, end point information, category information, and weight information.
5. The method for automatically checking and releasing road cargo vehicle according to claim 4, wherein the step S2 specifically comprises:
s21: when the face recognition device starts to be started, a camera of the face recognition device acquires face image information and identity information of a driver, face database modeling is carried out through a hardware processor of the face recognition device, and the face image information is stored on the hardware processor; meanwhile, the hardware processor transmits the facial image information and the driver identity information to the cloud platform through the communication module for storage;
s22: when the license plate recognition device starts to be started, a camera of the license plate recognition device starts to capture a license plate image of a truck, the truck information is recognized through the image processing unit, and the truck information is transmitted to the central control management device for storage through the communication module;
s23: when the recognizer starts, the antenna of the recognizer receives the radio frequency signal sent by the TIR electronic tag information sending unit, the goods information of the truck is obtained through the decoder, and the goods information is transmitted to the central control management device for storage through the communication module.
6. The method according to claim 5, wherein in the step S3, the central control management device sends the license plate information to a communication module of the cloud platform through the communication module, so as to call the driver face image information and the driver identity information corresponding to the license plate information.
7. The method for automatically checking and releasing the road freight vehicles according to claim 6, wherein in the step S4, the central control management device sends the permission information to a communication module of an entrance guard, and the entrance guard controls the opening of the entrance guard lever mechanism through an entrance guard driving mechanism so as to release the freight vehicles; when one of the driver identity information, the truck information and the cargo information is not matched; and the customs staff processes the unmatched event and stores the face information of the driver, the identity information of the driver, the information of the truck, the cargo information, the event occurrence place, the event occurrence event, the information unmatched reason and the event processing result information in a storage of the central control management system and a server of the cloud platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911163103.9A CN110969742A (en) | 2019-11-25 | 2019-11-25 | Automatic checking and releasing method for road freight vehicles |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911163103.9A CN110969742A (en) | 2019-11-25 | 2019-11-25 | Automatic checking and releasing method for road freight vehicles |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110969742A true CN110969742A (en) | 2020-04-07 |
Family
ID=70031358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911163103.9A Pending CN110969742A (en) | 2019-11-25 | 2019-11-25 | Automatic checking and releasing method for road freight vehicles |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110969742A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111613089A (en) * | 2020-06-05 | 2020-09-01 | 重庆红透科技有限公司 | Garage management system and vehicle in-out management method |
| CN112766524A (en) * | 2020-12-31 | 2021-05-07 | 山东数字能源交易中心有限公司 | Goods picking safety inspection information processing method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202838487U (en) * | 2012-09-28 | 2013-03-27 | 天津开发区中环***电子工程有限公司 | Examining and releasing system for cargo transport vehicle |
| CN103473934A (en) * | 2013-10-02 | 2013-12-25 | 哈尔滨理工大学 | Customhouse logistics vehicle detecting device and method based on vision |
| CN204087307U (en) * | 2014-07-07 | 2015-01-07 | 浙江万里学院 | A kind of customs stockyard intelligent monitor system |
| CN106157393A (en) * | 2015-04-17 | 2016-11-23 | 浙江蓝洋电子科技有限公司 | Port Vehicular intelligent checking system |
| CN109035497A (en) * | 2018-06-27 | 2018-12-18 | 深圳市先施科技股份有限公司 | A kind of intelligence monitoring method of secrecy box, device and intelligent secrecy box |
-
2019
- 2019-11-25 CN CN201911163103.9A patent/CN110969742A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202838487U (en) * | 2012-09-28 | 2013-03-27 | 天津开发区中环***电子工程有限公司 | Examining and releasing system for cargo transport vehicle |
| CN103473934A (en) * | 2013-10-02 | 2013-12-25 | 哈尔滨理工大学 | Customhouse logistics vehicle detecting device and method based on vision |
| CN204087307U (en) * | 2014-07-07 | 2015-01-07 | 浙江万里学院 | A kind of customs stockyard intelligent monitor system |
| CN106157393A (en) * | 2015-04-17 | 2016-11-23 | 浙江蓝洋电子科技有限公司 | Port Vehicular intelligent checking system |
| CN109035497A (en) * | 2018-06-27 | 2018-12-18 | 深圳市先施科技股份有限公司 | A kind of intelligence monitoring method of secrecy box, device and intelligent secrecy box |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111613089A (en) * | 2020-06-05 | 2020-09-01 | 重庆红透科技有限公司 | Garage management system and vehicle in-out management method |
| CN112766524A (en) * | 2020-12-31 | 2021-05-07 | 山东数字能源交易中心有限公司 | Goods picking safety inspection information processing method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111047755A (en) | Road freight vehicle automatic checking and releasing system and method based on multi-information fusion | |
| US9483944B2 (en) | Prediction of free parking spaces in a parking area | |
| CN102194170A (en) | System and method for monitoring and managing whole logistics transportation process based on RFID (radio frequency identification devices) | |
| US20110208645A1 (en) | Virtual fare card and virtual fare device | |
| CN101581934B (en) | Control system and method of coal mine and coal yard vehicles entering and leaving plant | |
| CN102136164A (en) | Motor vehicle access control management method based on radio frequency identification under Internet of Things | |
| CN111523848A (en) | Unattended system and method based on Internet of things technology | |
| CN104778575A (en) | Intelligent logistics supervisory system | |
| US20140156138A1 (en) | Courtesy car management system | |
| CN110969742A (en) | Automatic checking and releasing method for road freight vehicles | |
| CN105868933A (en) | Ash bank supervision system and ash bank supervision method | |
| CN104616524A (en) | RFID based vehicle finding method for parking lot | |
| CN106464724B (en) | Transport system user inspection | |
| CN104850964A (en) | Power production site safety verification device and power production site safety verification method | |
| CN109584602A (en) | A kind of residential property parking management system | |
| CN104809607A (en) | Logistics operation and maintenance optimizing management system | |
| CN110867004A (en) | Automatic checking and releasing system for road freight vehicles | |
| CN104915687A (en) | Intelligent logistics IC card automatic receiving and issuing system and working method thereof | |
| CN211044353U (en) | Automatic checking and releasing system for road freight vehicles | |
| CN104133441A (en) | Drop and pull transport whole-process monitoring system and method | |
| CN104269061A (en) | Yellow label car detection and management system and detection and management method based on network | |
| CN112200922A (en) | Lane abnormity processing method, device, equipment and medium | |
| CN1851755A (en) | Prepaid change-giving IC card read-write device, one-card-through subsystem and its realizing method | |
| CN116433153A (en) | Intelligent inspection system for warehouse logistics | |
| KR101694230B1 (en) | Method and service server for managing transport vehicle |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200407 |
|
| WD01 | Invention patent application deemed withdrawn after publication |