CN114037384A - Logistics vehicle monitoring method, device, equipment and storage medium - Google Patents
Logistics vehicle monitoring method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN114037384A CN114037384A CN202111344709.XA CN202111344709A CN114037384A CN 114037384 A CN114037384 A CN 114037384A CN 202111344709 A CN202111344709 A CN 202111344709A CN 114037384 A CN114037384 A CN 114037384A
- Authority
- CN
- China
- Prior art keywords
- logistics
- vehicle
- transportation
- information
- preset
- 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
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
- G06Q10/0833—Tracking
-
- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- 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
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
Abstract
The invention relates to the technical field of vehicle monitoring systems, and discloses a method, a device, equipment and a storage medium for monitoring a logistics vehicle, wherein a waybill is sent to a client of a vehicle driver, corresponding vehicle position information is determined according to a license plate number in the waybill, so that a corresponding logistics vehicle is determined according to the vehicle position information, the transportation data of the logistics vehicle is obtained in real time, whether the logistics vehicle is transported according to a logistics transportation track is judged, if the logistics vehicle is transported according to the logistics transportation track, a preset arrival time and a preset site address are determined according to destination information, whether the logistics vehicle arrives at the preset site address at the preset arrival time is judged, and if the logistics vehicle arrives at the preset site address at the preset arrival time, a receipt certificate photo is collected, and the logistics scheduling corresponding to an order number is marked to be finished; the invention ensures that the transportation process is safe and reliable, reduces the transportation cost and improves the transportation efficiency; the timeliness and the accuracy of logistics transportation are improved.
Description
Technical Field
The invention relates to the technical field of vehicle monitoring systems, in particular to a method, a device, equipment and a storage medium for monitoring logistics vehicles.
Background
The logistics industry is rapidly developed and widely aroused, logistics exists in daily life and is everywhere, and goods need to pass through a transportation process, a loading, unloading and carrying process, a storage process, a distribution process and the like from suppliers to customers in the whole logistics process; however, in recent years, the number of logistics transportation vehicles is on the rise, and the management level of the logistics enterprises matched with the logistics transportation vehicles is low as a whole, and various problems such as low transportation efficiency, high transportation cost and the like are further exposed; meanwhile, the vehicle is a mobile device, and the mobile device may not be capable of reporting the position information accurately, so that the tracking accuracy is reduced.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a device and a storage medium for monitoring a logistics vehicle, aiming at the problems of low transportation efficiency, high transportation cost, low tracking accuracy and the like.
A monitoring method of a logistics vehicle comprises the following steps:
sending a waybill to a client of a vehicle driver, wherein the waybill at least comprises an order number, a license plate number, origin information, destination information and stop-and-go information;
determining corresponding vehicle position information according to the license plate number in the in-transit order, so as to determine corresponding logistics vehicles according to the vehicle position information;
acquiring the transportation data of the logistics vehicle in real time, and judging whether the logistics vehicle is transported according to a logistics transportation track;
if the logistics vehicle is transported according to the logistics transportation track, determining a preset arrival time and a preset site address according to the destination information, and judging whether the logistics vehicle arrives at the preset site address at the preset arrival time or not;
and if the logistics vehicles arrive at the preset site address at the preset arrival time, acquiring a receipt photo, and marking the end of logistics scheduling corresponding to the order number.
In one embodiment, the determining the corresponding vehicle location information according to the license plate number in the in-transit order for determining the corresponding logistics vehicle according to the vehicle location information includes:
capturing a plurality of vehicle pictures corresponding to the license plate number based on a preset video library, wherein the preset video library is obtained by monitoring the place where the vehicle is parked through a video;
inputting a plurality of vehicle pictures into a damage degree identification model to obtain a damage degree value, and judging whether the damage degree value exceeds a preset damage threshold value, wherein the damage degree identification model is obtained by adopting a deep learning method for training;
if the damage degree value does not exceed a preset damage threshold value, position recognition is carried out in the vehicle picture to obtain vehicle position information, and the vehicle position information is sent to a client of a vehicle driver;
and if the damage degree value exceeds a preset damage threshold value, sending a vehicle replacing request for replacing the current logistics vehicle.
In one embodiment, the obtaining transportation data of the logistics vehicle in real time, and before determining whether the logistics vehicle transports according to a logistics transportation track, further includes:
determining preset transportation time according to the origin information and the destination information, and generating a plurality of matched transportation routes;
acquiring road condition information of each matched transportation route, and calculating a transportation difficulty coefficient and a transportation cost of each matched transportation route according to the road condition information;
determining a stop point address and stop time according to the stop point information so as to allow the logistics vehicle to execute goods picking operation;
and selecting an optimal logistics transportation track from the plurality of matched transportation routes according to the transportation difficulty coefficient, the transportation cost, the passing point address and the stopping time.
In one embodiment, the acquiring transportation data of the logistics vehicle in real time includes:
sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
when the connection request passes, acquiring real-time longitude and latitude information of the logistics vehicle;
determining the current position coordinate of the logistics vehicle according to the real-time longitude and latitude information, and performing address resolution according to the position coordinate to obtain address information;
and displaying the address information on a map so as to determine the specific position of the logistics vehicle, and generating the real-time transportation track of the logistics vehicle according to the specific position on the map.
In one embodiment, the determining whether the logistics vehicle transports according to the logistics transportation track includes:
if the logistics vehicle is not transported according to the logistics transportation track, acquiring the real-time transportation track of the logistics vehicle, and calculating the deviation between the real-time transportation track and the logistics transportation track to obtain a deviation result;
and judging whether the deviation result is greater than a preset deviation threshold value, if so, sending alarm information to a vehicle-mounted terminal of the logistics vehicle.
In one embodiment, the signing voucher is uploaded to a block chain network for storage, and the signing vouchers stored in the block chain are classified according to time or any factor in the region to which the signing vouchers belong.
A monitoring device of a logistics vehicle, comprising:
the system comprises a sending module, a receiving module and a processing module, wherein the sending module is used for sending a waybill to a client of a vehicle driver, and the waybill at least comprises an order number, a license plate number, origin information, destination information and stop-and-go information;
the determining module is used for determining corresponding vehicle position information according to the license plate number in the in-transit order so as to determine corresponding logistics vehicles according to the vehicle position information;
the first judgment module is used for acquiring the transportation data of the logistics vehicle in real time and judging whether the logistics vehicle is transported according to a logistics transportation track;
the second judgment module is used for determining a preset arrival time and a preset site address according to the destination information if the logistics vehicle is transported according to the logistics transportation track, and judging whether the logistics vehicle arrives at the preset site address at the preset arrival time or not;
and the acquisition module is used for acquiring a receipt certificate photo and marking the end of logistics scheduling corresponding to the order number if the logistics vehicles arrive at the preset site address at the preset arrival time.
In one embodiment, the first determining module includes:
the sending submodule is used for sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
the acquisition submodule is used for acquiring the real-time longitude and latitude information of the logistics vehicle after the connection request passes;
the calculation submodule is used for determining the current position coordinate of the logistics vehicle according to the real-time longitude and latitude information and carrying out address resolution according to the position coordinate to obtain address information;
and the generation submodule is used for displaying the address information on a map so as to determine the specific position of the logistics vehicle, and generating the real-time transportation track of the logistics vehicle according to the specific position on the map.
A monitoring apparatus of a logistics vehicle, the monitoring apparatus of the logistics vehicle comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor calls the instructions in the memory to enable the monitoring device of the logistics vehicle to execute the steps of the monitoring method of the logistics vehicle.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for monitoring a logistics vehicle as described above.
The monitoring method, the device, the equipment and the storage medium of the logistics vehicle send the on-road list to the client of the vehicle driver, determining corresponding vehicle position information according to the license plate number in the on-road ticket so as to determine corresponding logistics vehicles according to the vehicle position information and acquire transportation data of the logistics vehicles in real time, and judging whether the logistics vehicles are transported according to the logistics transportation track, if the logistics vehicles are transported according to the logistics transportation track, determining a preset arrival time and a preset site address according to the destination information, judging whether the logistics vehicle arrives at the preset site address at the preset arrival time, if so, acquiring a receipt photo and marking the end of logistics scheduling corresponding to the order number; the invention knows the vehicle condition of the logistics vehicle in advance, so that the transportation process is safe and reliable; an optimal logistics transportation track is planned, the transportation cost is reduced, and the transportation efficiency is improved; the state of logistics transportation is known in time, and therefore timeliness and accuracy of logistics transportation are improved.
Drawings
Fig. 1 is a schematic view of a first embodiment of a monitoring method of a logistics vehicle of the invention;
fig. 2 is a schematic view of a second embodiment of the monitoring method of the logistics vehicle of the invention;
fig. 3 is a schematic view of a first embodiment of the monitoring apparatus of the logistics vehicle of the invention;
fig. 4 is a schematic view of a second embodiment of the monitoring apparatus of the logistics vehicle of the invention;
fig. 5 is a schematic view of an embodiment of the monitoring apparatus of the logistics vehicle of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
As a preferred embodiment, as shown in fig. 1, a monitoring method of a logistics vehicle is used for monitoring the logistics vehicle, and the monitoring method of the logistics vehicle comprises the following steps:
it is to be understood that the execution subject of the present invention may be a monitoring device of a logistics vehicle, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.
In this embodiment, the transportation management system, abbreviated as "TMS" in english, is a kind of (web-based) operating software under the "supply chain" group. The logistics management capacity can be improved by various methods and other related operations; the method comprises the steps of managing shipping units, designating shipping plans within enterprises, domestically and abroad, managing transportation models, benchmarks and expenses, maintaining transportation data, generating bills of lading, optimizing transportation plans, selecting carriers and service modes, tendering and bidding, auditing and paying freight bills, processing damage claims, arranging labor and places, managing documents (particularly during international transportation) and managing third-party logistics. The system mainly comprises modules of scheduling management, vehicle management, accessory management, oil consumption management, expense settlement, personnel management, resource management and the like, wherein a supplier submits a transportation request to a transportation management system, the transportation management system generates a waybill according to the transportation request, and after the waybill order is submitted, the order state is the order placement.
102, determining corresponding vehicle position information according to the license plate number in the in-transit order, so as to determine corresponding logistics vehicles according to the vehicle position information;
in this embodiment, the purpose of this step is to inform the driver of the information of the logistics vehicle that the en-route ticket needs to be driven, the driver of the vehicle obtains the verification code through the mobile phone number to log in, and after logging in the applet, the driver of the vehicle can see the information of the current en-route ticket, and the en-route ticket includes a license plate number, for example, the license plate number is "gan AQ 0021" and the order number is "W21090600000002"; in one embodiment, step 102 comprises:
step 1021, capturing a plurality of vehicle pictures corresponding to the license plate number based on a preset video library, wherein the preset video library is obtained by monitoring the place where the vehicle is parked through videos;
specifically, the video monitoring monitors the place where the vehicle is parked in real time, records the information of the place where the vehicle enters and exits in real time, after the server determines the license plate number, the server determines whether the logistics vehicle corresponding to the vehicle number is parked in the place or not from a preset video library, if so, captures a plurality of vehicle pictures, and executes step 1022.
Step 1022, inputting a plurality of vehicle pictures into the damage degree identification model to obtain a damage degree value, and judging whether the damage degree value exceeds a preset damage threshold value, wherein the damage degree identification model is obtained by training through a deep learning method;
specifically, the purpose of this step is to determine whether the logistics vehicle is suitable for departure, and the training samples for training the damage degree identification model include pictures of various damage degrees of each part. In the process of training the damage degree recognition model, the damage degree recognition model continuously learns the characteristics of various damage degrees of each part. After the damage degree recognition model is trained, the damage degree of each part can be judged, and damage degree numerical values of each part are output. It is convenient to subsequently determine whether the damage degree value exceeds a preset damage threshold, if not, execute step 1023, and if so, execute step 1024.
Step 1023, if the damage degree value does not exceed a preset damage threshold value, position recognition is carried out in the vehicle picture to obtain vehicle position information, and the vehicle position information is sent to a client of a vehicle driver;
specifically, the position recognition is used for determining the position where the logistics vehicle stops, character extraction is carried out on the vehicle picture to obtain vehicle position information, the vehicle position information comprises a parking space number, and the server sends the vehicle position information to a client of a vehicle driver to remind the vehicle driver to drive the corresponding logistics vehicle to the parking space number.
And step 1024, if the damage degree value exceeds a preset damage threshold value, sending a vehicle replacement request for replacing the current logistics vehicle.
Specifically, after the logistics vehicles are replaced, a replacement prompt is sent to a vehicle driver, and a replaced license plate number is sent to the vehicle driver to prompt the vehicle driver to replace the logistics vehicles, and new logistics vehicles are adopted to perform transportation operation.
103, acquiring the transportation data of the logistics vehicles in real time, and judging whether the logistics vehicles are transported according to a logistics transportation track;
in this embodiment, the transportation process refers to a process of making people or articles undergo spatial displacement and temporal transfer by means of vehicles. The time and cost consumed by the transportation process is a considerable proportion of the whole logistics process, and is a very important process in the whole logistics process. The distance from a supplier to a destination address is generally large, the freight volume is large, the transportation time is long, and the road conditions along the way are complex, so that a lot of cargoes are lost, damaged, deteriorated and stolen in the transportation process. Therefore, the supervision of the logistics vehicles in the transportation process needs to be strengthened so as to guarantee the goods in the logistics vehicles; the transportation data of the logistics vehicle at least comprises a real-time vehicle position, and whether the logistics vehicle drifts or not is judged by comparing the real-time vehicle position with the logistics transportation track in a consistency mode
In one embodiment, the logistics vehicle is transported according to the logistics transportation track in a specific process as shown in steps 1031 to 1034.
Step 1031, sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
specifically, the vehicle-mounted terminal is generally installed in various vehicles in a concealed manner, and the vehicle-mounted terminal device mainly comprises various external devices such as a vehicle-mounted video server, an LCD touch screen, an external camera, a call handle, an automobile burglar alarm and the like. The vehicle-mounted terminal integrates multiple functions of positioning, communication, an automobile traveling recorder and the like, and has a strong service scheduling function and data processing capacity. And a channel is connected between the transportation management system and the vehicle-mounted terminal of the logistics vehicle.
Step 1032, acquiring real-time longitude and latitude information of the logistics vehicle after the connection request passes;
specifically, after the vehicle-mounted terminal of the logistics vehicle is connected with the transportation management system, the transportation management system is communicated with the vehicle-mounted terminal of the logistics vehicle, the logistics vehicle is positioned according to the vehicle-mounted terminal, real-time longitude and latitude information of the logistics vehicle is obtained, the longitude and latitude are combined into a coordinate system, the coordinate system is called a geographic coordinate system, the coordinate system is a spherical coordinate system which defines the space on the earth by utilizing a spherical surface of a three-dimensional space, and any position on the earth can be marked.
1033, determining the current position coordinate of the logistics vehicle according to the real-time longitude and latitude information, and performing address resolution according to the position coordinate to obtain address information;
specifically, the obtained real-time longitude and latitude information is converted into a position coordinate, where the position coordinate may be a combination of the longitude value and the latitude value, and in addition, the position coordinate may also be in other forms, such as a spherical coordinate value (r, θ, Φ), a three-dimensional coordinate value (x, y, z), and the like, which is not limited herein; after the position coordinates are determined, address resolution is performed according to the position coordinates, and similarly, various address resolution modes can be provided, which is not limited herein; in one implementation, the address resolution is realized by calling a geographic coordinate picking tool, and the current real-time position of the logistics vehicle is determined through the position coordinate, so that the address information is obtained.
Step 1034, displaying the address information on the map for determining the specific position of the logistics vehicle, and generating the real-time transportation track of the logistics vehicle according to the specific position on the map.
Specifically, the server displays the address information on a map, the map can be an electronic map, the electronic map is a system for map making and application, the map is generated under the control of an electronic computer, is a screen map based on a digital cartographic technology and is a visual real map; after the specific position of the logistics vehicle is visualized on the electronic map, the position of the logistics vehicle at what time can be judged according to the address information, and a route, namely a real-time transportation track of the logistics vehicle, can be formed.
In one embodiment, the logistics vehicles are not transported according to the logistics transportation trajectory in a specific process as shown in steps 1035-1036.
Step 1035, if the logistics vehicle is not transported according to the logistics transportation track, acquiring the real-time transportation track of the logistics vehicle, and calculating the deviation between the real-time transportation track and the logistics transportation track to obtain a deviation result;
specifically, when the logistics vehicle is not transported according to the logistics transportation track, it is indicated that the logistics vehicle has a yaw behavior, the server acquires the real-time transportation track of the logistics vehicle, compares the real-time transportation track with the logistics transportation track, calculates the deviation between the real-time transportation track and the logistics transportation track, and needs to determine a track cross point set which may exist between the real-time transportation track and the logistics transportation track; after all track cross points are determined, calculating the area enclosed between the track cross points and the track cross points by adopting an equal area summation method, then calculating the cumulative sum of the deviation areas, calculating the deviation degree according to the deviation areas, wherein the deviation degree is equal to the cumulative sum of the deviation areas divided by the reference area calculated by the deviation degree, and the calculated reference area is determined in advance to obtain a deviation degree result; through the calculation of the deviation degree, the real-time transportation track and the logistics transportation track can be judged quickly and accurately.
And step 1036, judging whether the deviation degree result is larger than a preset deviation degree threshold value, and if so, sending alarm information to a vehicle-mounted terminal of the logistics vehicle.
Specifically, the server judges whether the deviation result is greater than a preset deviation threshold, and if the deviation result is greater than the preset deviation threshold, which indicates that the logistics vehicle deviates from the logistics transportation track seriously, the server sends alarm information to a vehicle-mounted terminal of the logistics vehicle to prevent abnormal situations, such as private use of a bus, private activities and the like.
in this embodiment, when the logistics vehicle is transported according to the logistics transportation track, it is described that no abnormality occurs in the transportation process of the logistics vehicle, the server determines a preset arrival time and a preset site address according to the destination information, the preset arrival time is a time calculated in advance in the waybill when the material vehicle arrives at the destination address, the preset site address is a destination address determined in advance in the waybill, it is determined whether the logistics vehicle arrives at the preset site address at the preset arrival time according to real-time data of the logistics vehicle, and if the logistics vehicle arrives at the preset site address at the preset arrival time, it is described that a vehicle driver completes a transportation task on time, step 105 is performed.
And 105, if the logistics vehicle reaches the preset site address at the preset arrival time, acquiring a receipt photo, and marking the end of logistics scheduling corresponding to the order number.
In the embodiment, after the logistics vehicle reaches the preset site address at the preset arrival time, the driver sends a delivery list to the client, the unloading operation is performed, the driver clicks 'start unloading' on the client synchronously, after unloading, the client checks the signature of the goods on the delivery list, the driver uploads a receipt photo, and meanwhile basic information such as the weight, the volume, the number of internal parts and the like of the goods needs to be filled, and the server determines that the logistics scheduling is finished according to the receipt photo; the signing vouchers are uploaded to a block chain network to be stored, the signing vouchers stored in the block chain are classified according to time or any factor in the region to which the signing vouchers belong, and the authenticity of information is guaranteed due to the fact that the block chain technology has the property of being not capable of being tampered, so that the accurate source of the information is confirmed, and the traceability of the signing vouchers is guaranteed.
In the embodiment of the invention, a vehicle driver sends a waybill to a client, corresponding vehicle position information is determined according to a license plate number in the waybill, so that a corresponding logistics vehicle is determined according to the vehicle position information, transportation data of the logistics vehicle is obtained in real time, whether the logistics vehicle is transported according to a logistics transportation track is judged, if the logistics vehicle is transported according to the logistics transportation track, a preset arrival time and a preset site address are determined according to destination information, whether the logistics vehicle arrives at the preset site address at the preset arrival time is judged, if the logistics vehicle arrives at the preset site address at the preset arrival time, a receipt certificate photo is collected, and a logistics scheduling end corresponding to an order number is marked; the invention knows the vehicle condition of the logistics vehicle in advance, so that the transportation process is safe and reliable; an optimal logistics transportation track is planned, the transportation cost is reduced, and the transportation efficiency is improved; the state of logistics transportation is known in time, and therefore timeliness and accuracy of logistics transportation are improved.
Referring to fig. 2, a second embodiment of the monitoring method for a logistics vehicle according to the embodiment of the invention includes:
in this embodiment, the server obtains origin information and destination information in the waybill, where the origin information includes an origin address, an origin departure time, an origin contact person, and the like, the destination information includes a destination address, a destination arrival time, a destination contact person, and the like, a time difference between the origin departure time and the destination arrival time is a preset transportation time, and according to the preset transportation time, a plurality of matching transportation routes exist between the origin address and the destination address, the matching transportation routes are routes traveled by the logistics vehicle from the origin address to the destination address, for example, the origin address is "tianjin city district and ferris wheel in the prefecture", and the destination address is "6679 number of shanghai city district kups district engorgement harbour east road in the district of shanghai city (u).
in the embodiment, the problem of traffic congestion is increasingly highlighted in each large city in China, and the best solution is to develop intelligent traffic instead of building or expanding roads without limitation to relieve traffic congestion. The road condition information is acquired in real time through information processing technical means such as image processing, mode recognition and the like, the current road congestion condition is truly and accurately described, and the method is the most basic and important work in an Intelligent Transportation System (ITS). For example, when analyzing the road condition information of each matched transportation route, acquiring the congestion condition of the matched transportation route in the time slot in the intelligent transportation system, judging the influence of the weather of the area where the matched transportation route passes by on transportation by combining with the weather forecast, and judging the transportation difficulty coefficient and the transportation cost according to the congestion condition and the weather condition, wherein the weather forecast is clear and the road is smooth, the smaller the transportation difficulty coefficient is, the lower the transportation cost is; correspondingly, the weather forecast is heavy rain and the road is congested, the larger the transportation difficulty coefficient is, the larger the transportation cost is; the transportation enterprises complete the total expense of certain passenger and cargo transportation volume within a certain period of time, and the total cost of the transportation in the period is called.
in this embodiment, the transit stop address is an address of a supplier supply, a driver of the vehicle needs to drive from an origin address to the address of the supplier supply first, and after the driver of the vehicle arrives, the driver of the vehicle clicks 'confirmation of the vehicle' on the client, and the stay time is the time for the driver of the vehicle to perform the delivery operation at the address of the supplier supply; in the loading process, a vehicle driver clicks to start picking up goods after checking the goods according to the order details, the electronic certificate is required to be uploaded and checked after picking up the goods, if the loading quantity is inconsistent with the order quantity, the system automatically jumps to an order abnormity reporting interface, the vehicle driver reports abnormity, and the system automatically submits the vehicle for delivery and picking up the goods.
And 204, selecting an optimal logistics transportation track from the multiple matched transportation routes according to the transportation difficulty coefficient, the transportation cost, the stop point address and the stop time.
In this embodiment, the optimal logistics transportation track is a finally determined transportation route, the transportation route refers to an assembly of roads and urban roads of various levels having certain length, direction and quality standards and used for vehicles to run, and the server selects the optimal logistics transportation track from multiple matched transportation routes according to the transportation difficulty coefficient, the transportation cost, the stop and transit address and the stop duration, so as to realize intelligent scheduling and optimization of the whole logistics operation processes such as transportation and distribution, provide personalized and specialized logistics services with high efficiency, high quality and low cost for customers, and improve the utilization rate of logistics resources.
In the embodiment of the invention, according to the origin information and the destination information, the preset transportation time length is determined, a plurality of matched transportation routes are generated, the road condition information of each matched transportation route is obtained, the transportation difficulty coefficient and the transportation cost of each matched transportation route are calculated according to the road condition information, the passing stop point address and the stop time length are determined according to the passing stop point information so that the logistics vehicles can carry out the goods lifting operation, and the optimal logistics transportation track is selected from the plurality of matched transportation routes according to the transportation difficulty coefficient, the transportation cost, the passing stop point address and the stop time length; according to the invention, the optimal logistics transportation track is selected according to the origin and the destination, so that the transportation cost is reduced and the transportation efficiency is improved.
Referring to fig. 3, in an embodiment, a monitoring device for a logistics vehicle is provided, the monitoring device for the logistics vehicle includes:
the system comprises a sending module 301, a receiving module and a processing module, wherein the sending module 301 is used for sending a waybill to a client of a vehicle driver, and the waybill at least comprises an order number, a license plate number, origin information, destination information and stop-and-go information;
the determining module 302 is configured to determine corresponding vehicle location information according to a license plate number in the in-transit order, so as to determine a corresponding logistics vehicle according to the vehicle location information;
the first judgment module 303 is configured to obtain transportation data of the logistics vehicle in real time, and judge whether the logistics vehicle is transported according to a logistics transportation track;
the second judging module 304 is configured to determine a preset arrival time and a preset site address according to the destination information if the logistics vehicle is transported according to the logistics transportation track, and judge whether the logistics vehicle arrives at the preset site address at the preset arrival time;
the collecting module 305 is configured to collect the receipt certificate photo and mark that the logistics scheduling corresponding to the order number is finished if the logistics vehicle arrives at the preset site address at the preset arrival time.
Referring to fig. 4, in a second embodiment of the monitoring device for a logistics vehicle according to the embodiment of the present invention, the first determining module 303 specifically includes:
the sending submodule 3031 is used for sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
the obtaining submodule 3032 is used for obtaining real-time longitude and latitude information of the logistics vehicle after the connection request passes;
the calculation submodule 3033 is used for determining the current position coordinates of the logistics vehicle according to the real-time longitude and latitude information, and performing address resolution according to the position coordinates to obtain address information;
the generating submodule 3034 is configured to display the address information on a map, so as to determine a specific position of the logistics vehicle, and generate a real-time transportation track of the logistics vehicle according to the specific position on the map.
In the embodiment of the invention, a vehicle driver sends a waybill to a client, corresponding vehicle position information is determined according to a license plate number in the waybill, so that a corresponding logistics vehicle is determined according to the vehicle position information, transportation data of the logistics vehicle is obtained in real time, whether the logistics vehicle is transported according to a logistics transportation track is judged, if the logistics vehicle is transported according to the logistics transportation track, a preset arrival time and a preset site address are determined according to destination information, whether the logistics vehicle arrives at the preset site address at the preset arrival time is judged, if the logistics vehicle arrives at the preset site address at the preset arrival time, a receipt certificate photo is collected, and a logistics scheduling end corresponding to an order number is marked; the invention knows the vehicle condition of the logistics vehicle in advance, so that the transportation process is safe and reliable; an optimal logistics transportation track is planned, the transportation cost is reduced, and the transportation efficiency is improved; the state of logistics transportation is known in time, and therefore timeliness and accuracy of logistics transportation are improved.
The monitoring device of the logistics vehicle in the embodiment of the invention is described in detail in the above fig. 3-4 from the perspective of the modular functional entity, and the monitoring device of the logistics vehicle in the embodiment of the invention is described in detail in the following from the perspective of hardware processing.
Fig. 5 is a schematic structural diagram of a monitoring device of a logistics vehicle, where the monitoring device 500 of the logistics vehicle may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) storing applications 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient or persistent storage. The program stored in the storage medium 530 may include one or more modules (not shown), each of which may include a series of instruction operations in the monitoring apparatus 500 for the logistics vehicle. Still further, the processor 510 may be configured to communicate with the storage medium 530, and execute a series of instruction operations in the storage medium 530 on the monitoring apparatus 500 of the logistics vehicle.
The monitoring device 500 of the logistics vehicle may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows service, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will appreciate that the monitoring device structure of the logistics vehicle shown in fig. 5 does not constitute a limitation of the monitoring device of the logistics vehicle provided by the present application, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
A monitoring device of a logistics vehicle is used for realizing the following monitoring method of the logistics vehicle, and the monitoring method of the logistics vehicle comprises the following steps:
sending a waybill to a client of a vehicle driver, wherein the waybill at least comprises an order number, a license plate number, origin information, destination information and stop-and-go information;
determining corresponding vehicle position information according to the license plate number in the in-transit order, so as to determine corresponding logistics vehicles according to the vehicle position information;
acquiring the transportation data of the logistics vehicle in real time, and judging whether the logistics vehicle is transported according to a logistics transportation track;
if the logistics vehicle is transported according to the logistics transportation track, determining a preset arrival time and a preset site address according to the destination information, and judging whether the logistics vehicle arrives at the preset site address at the preset arrival time or not;
and if the logistics vehicles arrive at the preset site address at the preset arrival time, acquiring a receipt photo, and marking the end of logistics scheduling corresponding to the order number.
In one embodiment, the determining the corresponding vehicle location information according to the license plate number in the in-transit order for determining the corresponding logistics vehicle according to the vehicle location information includes:
capturing a plurality of vehicle pictures corresponding to the license plate number based on a preset video library, wherein the preset video library is obtained by monitoring the place where the vehicle is parked through a video;
inputting a plurality of vehicle pictures into a damage degree identification model to obtain a damage degree value, and judging whether the damage degree value exceeds a preset damage threshold value, wherein the damage degree identification model is obtained by adopting a deep learning method for training;
if the damage degree value does not exceed a preset damage threshold value, position recognition is carried out in the vehicle picture to obtain vehicle position information, and the vehicle position information is sent to a client of a vehicle driver;
and if the damage degree value exceeds a preset damage threshold value, sending a vehicle replacing request for replacing the current logistics vehicle.
In one embodiment, the obtaining transportation data of the logistics vehicle in real time, and before determining whether the logistics vehicle transports according to the logistics transportation track, further includes:
determining preset transportation time according to the origin information and the destination information, and generating a plurality of matched transportation routes;
acquiring road condition information of each matched transportation route, and calculating a transportation difficulty coefficient and a transportation cost of each matched transportation route according to the road condition information;
determining a stop point address and stop time according to the stop point information so as to allow the logistics vehicle to execute goods picking operation;
and selecting an optimal logistics transportation track from the plurality of matched transportation routes according to the transportation difficulty coefficient, the transportation cost, the passing point address and the stopping time.
In one embodiment, the acquiring transportation data of the logistics vehicle in real time includes:
sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
when the connection request passes, acquiring real-time longitude and latitude information of the logistics vehicle;
determining the current position coordinate of the logistics vehicle according to the real-time longitude and latitude information, and performing address resolution according to the position coordinate to obtain address information;
and displaying the address information on a map so as to determine the specific position of the logistics vehicle, and generating the real-time transportation track of the logistics vehicle according to the specific position on the map.
In one embodiment, the determining whether the logistics vehicle transports according to the logistics transport track includes:
if the logistics vehicle is not transported according to the logistics transportation track, acquiring the real-time transportation track of the logistics vehicle, and calculating the deviation between the real-time transportation track and the logistics transportation track to obtain a deviation result;
and judging whether the deviation result is greater than a preset deviation threshold value, if so, sending alarm information to a vehicle-mounted terminal of the logistics vehicle.
In one embodiment, the signing voucher is uploaded to a block chain network for storage, and the signing vouchers stored in the block chain are classified according to time or any factor in the region to which the signing vouchers belong.
The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and which may also be a volatile computer-readable storage medium, having stored therein instructions that, when executed on a computer, cause the computer to execute a monitoring method of a logistics vehicle, the monitoring method of the logistics vehicle including the steps of:
sending a waybill to a client of a vehicle driver, wherein the waybill at least comprises an order number, a license plate number, origin information, destination information and stop-and-go information;
determining corresponding vehicle position information according to the license plate number in the in-transit order, so as to determine corresponding logistics vehicles according to the vehicle position information;
acquiring the transportation data of the logistics vehicle in real time, and judging whether the logistics vehicle is transported according to a logistics transportation track;
if the logistics vehicle is transported according to the logistics transportation track, determining a preset arrival time and a preset site address according to the destination information, and judging whether the logistics vehicle arrives at the preset site address at the preset arrival time or not;
and if the logistics vehicles arrive at the preset site address at the preset arrival time, acquiring a receipt photo, and marking the end of logistics scheduling corresponding to the order number.
In one embodiment, the determining the corresponding vehicle location information according to the license plate number in the in-transit order for determining the corresponding logistics vehicle according to the vehicle location information includes:
capturing a plurality of vehicle pictures corresponding to the license plate number based on a preset video library, wherein the preset video library is obtained by monitoring the place where the vehicle is parked through a video;
inputting a plurality of vehicle pictures into a damage degree identification model to obtain a damage degree value, and judging whether the damage degree value exceeds a preset damage threshold value, wherein the damage degree identification model is obtained by adopting a deep learning method for training;
if the damage degree value does not exceed a preset damage threshold value, position recognition is carried out in the vehicle picture to obtain vehicle position information, and the vehicle position information is sent to a client of a vehicle driver;
and if the damage degree value exceeds a preset damage threshold value, sending a vehicle replacing request for replacing the current logistics vehicle.
In one embodiment, the obtaining transportation data of the logistics vehicle in real time, and before determining whether the logistics vehicle transports according to the logistics transportation track, further includes:
determining preset transportation time according to the origin information and the destination information, and generating a plurality of matched transportation routes;
acquiring road condition information of each matched transportation route, and calculating a transportation difficulty coefficient and a transportation cost of each matched transportation route according to the road condition information;
determining a stop point address and stop time according to the stop point information so as to allow the logistics vehicle to execute goods picking operation;
and selecting an optimal logistics transportation track from the plurality of matched transportation routes according to the transportation difficulty coefficient, the transportation cost, the passing point address and the stopping time.
In one embodiment, the acquiring transportation data of the logistics vehicle in real time includes:
sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
when the connection request passes, acquiring real-time longitude and latitude information of the logistics vehicle;
determining the current position coordinate of the logistics vehicle according to the real-time longitude and latitude information, and performing address resolution according to the position coordinate to obtain address information;
and displaying the address information on a map so as to determine the specific position of the logistics vehicle, and generating the real-time transportation track of the logistics vehicle according to the specific position on the map.
In one embodiment, the determining whether the logistics vehicle transports according to the logistics transport track includes:
if the logistics vehicle is not transported according to the logistics transportation track, acquiring the real-time transportation track of the logistics vehicle, and calculating the deviation between the real-time transportation track and the logistics transportation track to obtain a deviation result;
and judging whether the deviation result is greater than a preset deviation threshold value, if so, sending alarm information to a vehicle-mounted terminal of the logistics vehicle.
In one embodiment, the signing voucher is uploaded to a block chain network for storage, and the signing vouchers stored in the block chain are classified according to time or any factor in the region to which the signing vouchers belong.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A monitoring method for a logistics vehicle is characterized by comprising the following steps:
sending a waybill to a client of a vehicle driver, wherein the waybill at least comprises an order number, a license plate number, origin information, destination information and stop-and-go information;
determining corresponding vehicle position information according to the license plate number in the in-transit order, so as to determine corresponding logistics vehicles according to the vehicle position information;
acquiring the transportation data of the logistics vehicle in real time, and judging whether the logistics vehicle is transported according to a logistics transportation track;
if the logistics vehicle is transported according to the logistics transportation track, determining a preset arrival time and a preset site address according to the destination information, and judging whether the logistics vehicle arrives at the preset site address at the preset arrival time or not;
and if the logistics vehicles arrive at the preset site address at the preset arrival time, acquiring a receipt photo, and marking the end of logistics scheduling corresponding to the order number.
2. The method for monitoring logistics vehicles according to claim 1, wherein the determining corresponding vehicle location information according to the license plate number in the on-road list for determining the corresponding logistics vehicles according to the vehicle location information comprises:
capturing a plurality of vehicle pictures corresponding to the license plate number based on a preset video library, wherein the preset video library is obtained by monitoring the place where the vehicle is parked through a video;
inputting a plurality of vehicle pictures into a damage degree identification model to obtain a damage degree value, and judging whether the damage degree value exceeds a preset damage threshold value, wherein the damage degree identification model is obtained by adopting a deep learning method for training;
if the damage degree value does not exceed a preset damage threshold value, position recognition is carried out in the vehicle picture to obtain vehicle position information, and the vehicle position information is sent to a client of a vehicle driver;
and if the damage degree value exceeds a preset damage threshold value, sending a vehicle replacing request for replacing the current logistics vehicle.
3. The method for monitoring logistics vehicles according to claim 1, wherein the steps of acquiring transportation data of the logistics vehicles in real time and judging whether the logistics vehicles are transported according to logistics transportation tracks further comprise:
determining preset transportation time according to the origin information and the destination information, and generating a plurality of matched transportation routes;
acquiring road condition information of each matched transportation route, and calculating a transportation difficulty coefficient and a transportation cost of each matched transportation route according to the road condition information;
determining a stop point address and stop time according to the stop point information so as to allow the logistics vehicle to execute goods picking operation;
and selecting an optimal logistics transportation track from the plurality of matched transportation routes according to the transportation difficulty coefficient, the transportation cost, the passing point address and the stopping time.
4. The monitoring method for the logistics vehicles according to claim 1, wherein the acquiring transportation data of the logistics vehicles in real time comprises:
sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
when the connection request passes, acquiring real-time longitude and latitude information of the logistics vehicle;
determining the current position coordinate of the logistics vehicle according to the real-time longitude and latitude information, and performing address resolution according to the position coordinate to obtain address information;
and displaying the address information on a map so as to determine the specific position of the logistics vehicle, and generating the real-time transportation track of the logistics vehicle according to the specific position on the map.
5. The method for monitoring the logistics vehicles according to claim 4, wherein the step of judging whether the logistics vehicles are transported according to the logistics transportation track comprises the following steps:
if the logistics vehicle is not transported according to the logistics transportation track, acquiring the real-time transportation track of the logistics vehicle, and calculating the deviation between the real-time transportation track and the logistics transportation track to obtain a deviation result;
and judging whether the deviation result is greater than a preset deviation threshold value, if so, sending alarm information to a vehicle-mounted terminal of the logistics vehicle.
6. The method for monitoring the logistics vehicles of claim 1, wherein the receipt certificates are uploaded to a block chain network for storage, and the receipt certificates stored in the block chain are classified according to any factor of time or the region to which the receipt certificates belong.
7. A monitoring device for a logistics vehicle, characterized by comprising:
the system comprises a sending module, a receiving module and a processing module, wherein the sending module is used for sending a waybill to a client of a vehicle driver, and the waybill at least comprises an order number, a license plate number, origin information, destination information and stop-and-go information;
the determining module is used for determining corresponding vehicle position information according to the license plate number in the in-transit order so as to determine corresponding logistics vehicles according to the vehicle position information;
the first judgment module is used for acquiring the transportation data of the logistics vehicle in real time and judging whether the logistics vehicle is transported according to a logistics transportation track;
the second judgment module is used for determining a preset arrival time and a preset site address according to the destination information if the logistics vehicle is transported according to the logistics transportation track, and judging whether the logistics vehicle arrives at the preset site address at the preset arrival time or not;
and the acquisition module is used for acquiring a receipt certificate photo and marking the end of logistics scheduling corresponding to the order number if the logistics vehicles arrive at the preset site address at the preset arrival time.
8. The monitoring device for logistics vehicles of claim 7, wherein the first judging module comprises:
the sending submodule is used for sending a connection request to a vehicle-mounted terminal of the logistics vehicle;
the acquisition submodule is used for acquiring the real-time longitude and latitude information of the logistics vehicle after the connection request passes;
the calculation submodule is used for determining the current position coordinate of the logistics vehicle according to the real-time longitude and latitude information and carrying out address resolution according to the position coordinate to obtain address information;
and the generation submodule is used for displaying the address information on a map so as to determine the specific position of the logistics vehicle, and generating the real-time transportation track of the logistics vehicle according to the specific position on the map.
9. A monitoring apparatus of a logistics vehicle, characterized in that the monitoring apparatus of the logistics vehicle comprises: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor invokes the instructions in the memory to cause the monitoring device of the logistics vehicle to perform the steps of the monitoring method of logistics vehicles of any of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for monitoring a logistics vehicle of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111344709.XA CN114037384A (en) | 2021-11-15 | 2021-11-15 | Logistics vehicle monitoring method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111344709.XA CN114037384A (en) | 2021-11-15 | 2021-11-15 | Logistics vehicle monitoring method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114037384A true CN114037384A (en) | 2022-02-11 |
Family
ID=80137633
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111344709.XA Pending CN114037384A (en) | 2021-11-15 | 2021-11-15 | Logistics vehicle monitoring method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114037384A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114757625A (en) * | 2022-06-14 | 2022-07-15 | 成都普惠道智慧能源科技有限公司 | LNG (liquefied Natural gas) canning safety management method based on position matching and Internet of things system |
| CN115310896A (en) * | 2022-07-05 | 2022-11-08 | 南京邮电大学 | Logistics information management method based on big data |
| CN115577145A (en) * | 2022-10-26 | 2023-01-06 | 北京国电通网络技术有限公司 | Transportation information storage method, transportation information storage apparatus, electronic device, transportation information storage medium, and program product |
| CN116663846A (en) * | 2023-06-27 | 2023-08-29 | 赛马物联科技(宁夏)有限公司 | Acquisition and marketing management and control method and system based on logistics vehicle management platform |
| CN116797123A (en) * | 2023-08-28 | 2023-09-22 | 深圳市明心数智科技有限公司 | Logistics management and early warning method, system and medium |
| US11861552B1 (en) | 2022-06-14 | 2024-01-02 | Chengdu Puhuidao Smart Energy Technology Co., Ltd. | Methods for managing liquefied natural gas (LNG) tanking safety based on location matching and internet of things systems thereof |
-
2021
- 2021-11-15 CN CN202111344709.XA patent/CN114037384A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114757625A (en) * | 2022-06-14 | 2022-07-15 | 成都普惠道智慧能源科技有限公司 | LNG (liquefied Natural gas) canning safety management method based on position matching and Internet of things system |
| CN114757625B (en) * | 2022-06-14 | 2022-09-16 | 成都普惠道智慧能源科技有限公司 | LNG (liquefied Natural gas) canning safety management method based on position matching and Internet of things system |
| US11861552B1 (en) | 2022-06-14 | 2024-01-02 | Chengdu Puhuidao Smart Energy Technology Co., Ltd. | Methods for managing liquefied natural gas (LNG) tanking safety based on location matching and internet of things systems thereof |
| CN115310896A (en) * | 2022-07-05 | 2022-11-08 | 南京邮电大学 | Logistics information management method based on big data |
| CN115310896B (en) * | 2022-07-05 | 2023-05-12 | 南京邮电大学 | Logistics information management method based on big data |
| CN115577145A (en) * | 2022-10-26 | 2023-01-06 | 北京国电通网络技术有限公司 | Transportation information storage method, transportation information storage apparatus, electronic device, transportation information storage medium, and program product |
| CN116663846A (en) * | 2023-06-27 | 2023-08-29 | 赛马物联科技(宁夏)有限公司 | Acquisition and marketing management and control method and system based on logistics vehicle management platform |
| CN116797123A (en) * | 2023-08-28 | 2023-09-22 | 深圳市明心数智科技有限公司 | Logistics management and early warning method, system and medium |
| CN116797123B (en) * | 2023-08-28 | 2024-02-23 | 深圳市明心数智科技有限公司 | Logistics management and early warning method, system and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114037384A (en) | Logistics vehicle monitoring method, device, equipment and storage medium | |
| Quiroga et al. | Travel time studies with global positioning and geographic information systems: an integrated methodology | |
| US11514276B2 (en) | System and method for detecting and classifying recurrent stops of a vehicle fleet | |
| Ma et al. | Processing commercial global positioning system data to develop a web-based truck performance measures program | |
| CN109121079B (en) | Vehicle positioning system for logistics transportation | |
| CN111340419B (en) | Logistics online monitoring method, device, system, equipment and storage medium | |
| US20030135304A1 (en) | System and method for managing transportation assets | |
| US9163948B2 (en) | Position accuracy testing system | |
| CN112508488A (en) | Solid waste vehicle transportation monitoring method, device, equipment and storage medium | |
| CN111860879A (en) | Message pushing method and device, electronic equipment and readable storage medium | |
| HUE034255T2 (en) | Method and system for traffic control and traffic emission control | |
| CN107918762B (en) | Rapid detection system and method for road scattered objects | |
| CN105702042A (en) | Road congestion judgment method according to locating information of key operating vehicles | |
| CN114282033B (en) | Deviation correction and intelligent road disease reporting system based on GPS | |
| CN106875675A (en) | A kind of quick identification slag-soil truck deviates the detecting system and method for traveling | |
| Iwan et al. | Utilization of mobile applications for the improvement of traffic management systems | |
| US20220366336A1 (en) | Fleet operational assessment based on extrapolation of geolocation data | |
| CN114201571B (en) | Gas station recommendation method and device, electronic equipment and storage medium | |
| CN202648721U (en) | Vehicle fuel consumption monitoring system | |
| CN112652166B (en) | Job site transportation scheduling system | |
| JP2004038489A (en) | Vehicle operation control device, system, and method | |
| CN103226895B (en) | Method and data processing equipment for providing speed warning message for guider | |
| Cui et al. | Design of highway intelligent transportation system based on the internet of things and artificial intelligence | |
| CN114724356B (en) | GIS expressway accident early warning method and system based on meteorological data integration | |
| CN112950960B (en) | Method for judging reverse running of automatic driving 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 |